Oncogenic and teratogenic effects of Trp53Y217C, an inflammation-prone mouse model of the human hotspot mutant TP53Y220C

  1. Sara Jaber
  2. Eliana Eldawra
  3. Jeanne Rakotopare
  4. Iva Simeonova
  5. Vincent Lejour
  6. Marc Gabriel
  7. Tatiana Cañeque
  8. Vitalina Volochtchouk
  9. Monika Licaj
  10. Anne Fajac
  11. Raphaël Rodriguez
  12. Antonin Morillon
  13. Boris Bardot  Is a corresponding author
  14. Franck Toledo  Is a corresponding author
  1. Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, France
  2. Chromatin Dynamics, Institut Curie, CNRS UMR3664, Sorbonne University, PSL University, France
  3. Non Coding RNA, Epigenetic and Genome Fluidity, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, France
  4. Chemical Biology, Institut Curie, CNRS UMR3666, INSERM U1143, PSL University, France
  5. Signaling and Neural Crest Development, Institut Curie, CNRS UMR3347, INSERM U1021, Université Paris-Saclay, PSL University, France
  6. Hematopoietic and Leukemic Development, Centre de Recherche Saint-Antoine, INSERM UMRS938, Sorbonne University, France

eLife Assessment

This work is of fundamental significance and has an exceptional level of evidence for the role of a mutant p53 in regulation of tumorigenesis using an in vivo mouse model. The study is well-conducted and will be of interest to a broad audience including those interested in p53, transcription factors and cancer biology.

https://doi.org/10.7554/eLife.102434.3.sa0

Abstract

Missense ‘hotspot’ mutations localized in six p53 codons account for 20% of TP53 mutations in human cancers. Hotspot p53 mutants have lost the tumor suppressive functions of the wildtype protein, but whether and how they may gain additional functions promoting tumorigenesis remain controversial. Here, we generated Trp53Y217C, a mouse model of the human hotspot mutant TP53Y220C. DNA damage responses were lost in Trp53Y217C/Y217C (Trp53YC/YC) cells, and Trp53YC/YC fibroblasts exhibited increased chromosome instability compared to Trp53-/- cells. Furthermore, Trp53YC/YC male mice died earlier than Trp53-/- males, with more aggressive thymic lymphomas. This correlated with an increased expression of inflammation-related genes in Trp53YC/YC thymic cells compared to Trp53-/- cells. Surprisingly, we recovered only one Trp53YC/YC female for 22 Trp53YC/YC males at weaning, a skewed distribution explained by a high frequency of Trp53YC/YC female embryos with exencephaly and the death of most Trp53YC/YC female neonates. Strikingly, however, when we treated pregnant females with the anti-inflammatory drug supformin (LCC-12), we observed a fivefold increase in the proportion of viable Trp53YC/YC weaned females in their progeny. Together, these data suggest that the p53Y217C mutation not only abrogates wildtype p53 functions but also promotes inflammation, with oncogenic effects in males and teratogenic effects in females.

Introduction

Somatic alterations in the TP53 gene, encoding the tumor suppressor p53, are the most common events in human tumors (Hollstein et al., 1991). The p53 protein is a stress sensor stabilized and activated in response to potentially oncogenic insults. In its tetrameric active form, wildtype (WT) p53 can trigger a transcriptional program to induce various responses including cell cycle arrest, senescence, apoptosis, or metabolic changes (Beckerman and Prives, 2010). In human cancers, about 75% of all TP53 alterations are missense mutations, and the eight most frequent (‘hotspot’) missense mutations (R175H, Y220C, G245S, R248Q, R248W, R273H, R273C, and R282W) affect six residues localized in the p53 DNA-binding domain (DBD) and account for 20% of all TP53 mutations (Hainaut and Pfeifer, 2016). The fact that most TP53 mutations are missense substitutions suggested that cells expressing mutant p53 might have a selective advantage over cells lacking p53, and evidence for this was first gained by expressing various p53 mutants in p53-null cells and observing enhanced tumorigenic potential in nude mice or increased plating efficiency in agar cell culture (Dittmer et al., 1993). Mouse models expressing hotspot p53 mutants next helped to define potential mechanisms accounting for accelerated tumorigenesis. First, a dominant-negative effect (DNE) may be observed in heterozygotes, if the mutant p53 inhibits the WT p53 protein in hetero-tetramers (Gencel-Augusto and Lozano, 2020). Evidence that this mechanism accounts for accelerated tumorigenesis was notably reported in human leukemia (Boettcher et al., 2019). A second mechanism is a gain of function (GOF), i.e., the acquisition by mutant p53 of new oncogenic properties (Amelio and Melino, 2020; Stein et al., 2020). Although the DNA sequence specificity of p53 mutants is impaired, leading to a loss of WT functions (loss of function [LOF]), many p53 mutant proteins are stabilized in the cell and might engage in aberrant interactions with other transcription factors, chromatin-modifying complexes, or DNA helicase subunits, leading to the acquisition of GOF phenotypes (Kim and Deppert, 2007; Pfister and Prives, 2017; Zhao et al., 2024). However, a few recent studies challenged the pathological importance of mutant p53 GOF, or at least its relevance in anti-cancer therapeutic strategies (Aubrey et al., 2018; Boettcher et al., 2019; Wang et al., 2024). An alternative hypothesis emerged, postulating that the tumorigenic properties of a p53 mutant might result from a separation of function (SOF), if the mutant retains pro-proliferative or pro-survival functions of WT p53 while losing its tumor suppressive activities (Kennedy and Lowe, 2022). The concept of SOF was first proposed for TP53 exon 6 truncating mutations, which mimic a naturally occurring alternative p53 splice variant (Shirole et al., 2016), but may apply to some p53 missense mutations, e.g., p53R248W (Humpton et al., 2018). Importantly, the analysis of various mutant p53 alleles in vivo appears crucial for a better understanding of their contribution to tumorigenesis, because GOF/SOF phenotypes may vary depending on the mutated residue, its specific mutation, the cellular context, or genetic background (Dibra et al., 2024; Hanel et al., 2013; Kadosh et al., 2020; Kim and Lozano, 2018; Kotler et al., 2018; McCann et al., 2022; Xiong et al., 2022).

In human cancers, the TP53Y220C mutation is the most frequent missense mutation outside of the DNA-binding surface of p53 (Hainaut and Pfeifer, 2016). The somatic TP53Y220C mutation accounts for over 100,000 new cancer cases per year worldwide, including solid tumors and myeloid neoplasms, and a germline TP53Y220C mutation was reported in 15 families with the Li-Fraumeni syndrome of cancer predisposition (Bouaoun et al., 2016; Gener-Ricos et al., 2024). The mutation causes a structural change in the DBD localized at the periphery of the β-sandwich region of the protein, far from the surface contact of DNA. The mutation from a tyrosine to a cysteine markedly lowers the thermodynamic stability of the DBD, leading to a largely unfolded and inactive protein at body temperature (Joerger et al., 2006), and a molecule designed to bind p53Y220C and restore WT protein conformation appears as a promising anti-cancer drug (Dumbrava et al., 2022). Analyses of the impact of p53Y220C in cancer cell lines led to conflicting results. On one hand, overexpression of p53Y220C in a p53-null cell line increased its capacity for migration or invasion (Zhou et al., 2022), and a decreased expression of p53Y220C, caused by RNA interference or various chemical compounds, promoted cell death or decreased the migratory or invasive capacities of cells (Tseng et al., 2022; Vikhanskaya et al., 2007; Zhou et al., 2022). On the other hand, the removal by CRISPR/Cas9 of p53 mutants with reported GOF - including p53Y220C - in diverse cancer cell lines had no significant impact on cell survival or proliferation, and the cell death caused by RNA interference against p53Y220C might result from nonspecific toxic effects (Wang et al., 2024). Here, to gain a better understanding of the impact of the p53Y220C mutation in vivo, we generated a mouse model with a targeted Trp53Y217C mutation - the mouse equivalent to human TP53Y220C (Figure 1—figure supplement 1) - and analyzed animals and cells carrying one or two copies of the mutant allele.

Results

Targeting of a p53Y217C mutation in the mouse

We used homologous recombination in 129/SvJ embryonic stem (ES) cells to target the p53Y217C mutation at the mouse Trp53 locus. Mice expressing p53Y217C conditionally were generated by using a targeting vector containing transcriptional stops flanked by LoxP sites (LSL) upstream of coding sequences, and the p53Y217C mutation in exon 6 (Figure 1A–D). Trp53+/LSL-Y217C mice were then crossed with mice carrying the PGK-Cre transgene (Lallemand et al., 1998) to excise the LSL cassette and obtain Trp53+/Y217C mice, expressing the mutant protein constitutively. After two backcrosses over a C57BL/6J background, we prepared mouse embryonic fibroblasts (MEFs) from intercrosses of Trp53+/Y217C mice (Figure 1E). We extracted RNAs from Trp53Y217C/Y217C (Trp53YC/YC) MEFs then sequenced p53 mRNAs to verify that the p53Y217C coding sequence was identical to the wildtype p53 (p53WT) sequence, except for the desired missense mutation and a silent mutation introduced to facilitate mouse genotyping (Figure 1F). The quantification of p53 mRNA levels from WT and Trp53YC/YC MEFs next revealed similar transcription from both alleles (Figure 1G).

Figure 1 with 1 supplement see all
Targeting the Y217C missense mutation at the mouse Trp53 locus.

(A) Targeting strategy. The wildtype (WT) Trp53 gene is within a 17-kb-long EcoRI (RI) fragment (black boxes are for coding sequences and white boxes for UTRs). The targeting construct contains: (1) a 1.5-kb-long 5’ homology region; (2) a Lox-Stop-Lox (LSL) cassette with a neomycin selection gene (Neo), four transcriptional stops (STOP) and an EcoRI site, flanked by LoxP sites (arrowheads); (3) p53 coding exons, including the Y217C (YC) missense mutation in exon 6 (asterisk) and an additional BanII site; (4) a 2.8-kb-long 3’ homology region; and (5) the diphteria α-toxin (DTA) gene for targeting enrichment. Proper recombinants with a Trp53LSL-Y217C allele, resulting from the described crossing-overs, were G418 resistant. They were identified by a 2.4-kb-long band after PCR with primers a and b, and confirmed by bands of 635 and 224 bp after PCR with primers c and d and BanII digestion. They were also verified by Southern blot with the indicated probe as containing a 10.5 kb EcoRI band. Two recombinant ES clones were injected into blastocysts to generate chimeras, and germline transmission was verified by genotyping with primers c and d and BanII digestion. Excision of the LSL cassette was performed in vivo, by breeding Trp53+/LSL-Y217C male mice with females carrying the PGK-Cre transgene, to obtain mice with a Trp53Y217C allele. (B–D) Screening of recombinant ES clones (+) by PCR with primers a and b (B); PCR with primers c and d then BanII digestion (C); Southern blot (D). (E) Genotyping of mouse embryonic fibroblasts (MEFs) from an intercross of Trp53+/Y217C mice, by PCR with primers c and d and BanII digestion. (F) Trp53Y217C sequence around codon 217. The introduced Y217C missense mutation and the silent mutation creating an additional BanII restriction site are highlighted (asterisks). (G) WT and Trp53Y217C/Y217C (YC/YC) MEFs express similar p53 mRNA levels. Total RNA was extracted, then p53 mRNAs were quantified by real-time qPCR, normalized to control mRNAs and the amount in WT cells was assigned the value of 1. Means + SEM (n=3) are shown. Primer sequences are listed in Supplementary file 5.

Deficient p53-dependent stress responses in Trp53YC/YC cells

We used western blots to analyze protein extracts from Trp53+/+, Trp53+/-, Trp53+/YC, Trp53YC/YC, and Trp53-/- MEFs, unstressed or treated with Nutlin, an antagonist of Mdm2, the E3 ubiquitin ligase for p53 (Vassilev et al., 2004). Results indicated a high increase in p53 abundance in untreated and Nutlin-treated Trp53YC/YC MEFs and a moderate increase in untreated and Nutlin-treated Trp53+/YC MEFs, compared to WT cells (Figure 2A). Protein levels for p21 and Mdm2, the products of two classical p53 target genes, appeared similar in Trp53+/+ and Trp53+/YC MEFs, and were undetectable or markedly decreased in Trp53YC/YC and Trp53-/- MEFs (Figure 2A). Accordingly, p53Y217C appeared unable to transactivate the Cdkn1a (alias p21) and Mdm2 genes or to bind their promoters (Figure 2B). The fractionation of cells before or after treatment with doxorubicin, a clastogenic drug, indicated that p53WT accumulated in the nucleoplasm and chromatin fractions in response to DNA damage, whereas p53Y217C appeared mostly cytoplasmic in both untreated and doxorubicin-treated cells, and undetectable or barely detectable in chromatin fractions (Figure 2C). Furthermore, when Nutlin-treated MEFs were analyzed by immunofluorescence, p53WT was only detected in nuclei, whereas p53Y217C could be observed in nuclear and cytoplasmic compartments (Figure 2D). We next analyzed two well-known p53-mediated responses to DNA damage, i.e., cell cycle arrest in MEFs and apoptosis in thymocytes (Kastan et al., 1992; Lowe et al., 1993). WT MEFs exposed to increasing doses of γ-irradiation (3 or 12 Gy) exhibited significant increases in G1/S ratios, whereas G1/S ratios were similar before or after irradiation in Trp53YC/YC and Trp53-/- MEFs (Figure 2E, Figure 2—figure supplement 1). Furthermore, thymocytes recovered from irradiated WT mice underwent a massive apoptotic response, with an almost threefold increase in apoptotic cells after a 10 Gy irradiation. By contrast, no increase in apoptotic cells was observable upon irradiation in the thymi from Trp53YC/YC mice, and apoptotic thymocytes were equally rare in irradiated Trp53YC/YC and Trp53-/- mice (Figure 2F, Figure 2—figure supplement 2). Together, these results indicated that the p53Y217C mutation altered the abundance and intracellular distribution of the p53 protein, associated with a decrease in DNA-bound protein, and that p53Y217C had completely lost the ability to induce cell cycle arrest and apoptosis upon DNA damage.

Figure 2 with 3 supplements see all
Trp53YC/YC cells exhibit alterations in p53 abundance and subcellular localization, defective responses to DNA damage, and increased chromosomal instability.

(A) Increased p53 protein levels in Trp53YC/YC and Trp53+/YC mouse embryonic fibroblasts (MEFs). MEFs of the indicated genotypes were treated or not with 10 μM Nutlin 3a for 24 hr, then protein extracts were immunoblotted with antibodies against Mdm2, p53, p21, and actin. (B) The transactivation of classical p53 target genes Cdkn1a and Mdm2 is impaired in Trp53YC/YC cells. Wildtype (WT), Trp53YC/YC, and Trp53-/- MEFs were treated as in (A), then (top) mRNAs were quantified in five to six independent experiments using real-time PCR, with results normalized to control mRNAs and mean RNA amounts in unstressed WT cells assigned a value of 1; or (bottom) ChIP assays were performed at the Cdkn1a and Mdm2 promoters in two to three independent experiments with an antibody against p53 or rabbit IgG as a negative control. Immunoprecipitates were quantified using real-time PCR, normalized to data over an irrelevant region, and the amount in unstressed WT cells was assigned a value of 1. Error bars: SEM. (C) Assessment of p53WT and p53Y217C subcellular localization by cellular fractionation. WT and Trp53YC/YC MEFs were treated or not with 1 μΜ doxorubicin (Doxo) for 24 hr, submitted to cellular fractionation, then protein extracts were immunoblotted with antibodies against p53 or the fraction controls Tubulin for cytoplasm (Cp.), Nup98 for nucleoplasm (Np.), and histone H3 for chromatin (χin). (D) Assessment of p53WT and p53Y217C subcellular localization by immunofluorescence. WT, Trp53YC/YC and Trp53-/- MEFs were treated with 10 μM Nutlin 3a for 24 hr, then stained with antibodies against p53 (red) or actin (green) and DNA was counterstained with DAPI (blue). (E) Absence of a cell cycle arrest response in Trp53YC/YC MEFs. Asynchronous cell populations of Trp53+/+, Trp53YC/YC, and Trp53-/- MEFs were analyzed 24 hr after 0, 3, or 12 Gy γ-irradiation. Means + SEM from three independent experiments. (F) Absence of a p53-dependent apoptotic response in Trp53YC/YC thymocytes. Age-matched mice of the indicated genotypes were left untreated or submitted to 10 Gy whole-body γ-irradiation then sacrificed after 4 hr and their thymocytes were stained with Annexin V-FITC and analyzed by FACS. Means + SEM from two independent experiments. (G) Increased chromosomal instability in Trp53YC/YC fibroblasts. Metaphase spreads were prepared from WT, Trp53YC/YC, and Trp53-/- MEFs at passage 4, then aberrant metaphases (with chromosome breaks, radial chromosomes, or double-minute chromosome [DMs]) were scored. Left: distribution of aberrant metaphases. Data from 110 WT, 97 Trp53YC/YC, or 119 Trp53-/- complete diploid metaphases, independently observed by two experimenters. Right: examples of two aberrant Trp53YC/YC metaphases: one with a DM, a chromosome break (Br) and a radial chromosome (R), the other with multiple DMs. Enlargements of regions of interest are presented between the two metaphases. Scale bars (D, G): 5 μm. ***p<0.001, **p<0.01, *p<0.05, °p=0.09, ns: non-significant by Student’s t (B, E, F) or Fisher’s (G) tests.

Increased chromosomal instability in Trp53YC/YC cells

We next searched for evidence, at the cellular level, of potential DNE or GOF for the p53Y217C mutant. Little if any difference in the transactivation of canonical p53 target genes was observed between WT, Trp53+/YC, and Trp53+/- cells treated with Nutlin or Doxorubicin (Figure 2—figure supplement 3A), and Trp53+/YC and Trp53+/- cells exhibited similar cell cycle arrest or apoptotic responses to γ-irradiation (Figure 2—figure supplement 3B and C), suggesting little or no DNE in response to various stresses.

On the opposite, we obtained clear evidence of a GOF for the p53Y217C mutant. Two p53 mutants (p53G245D and p53R273H) were recently proposed to promote tumorigenesis by predisposing cells to chromosomal instability (Zhao et al., 2024), which led us to compare the frequency of chromosome rearrangements in WT, Trp53YC/YC, and Trp53-/- primary MEFs. We searched for chromosome breaks, radial chromosomes, or double-minute chromosomes in preparations of MEFs treated with the anti-mitotic nocodazole for metaphase enrichment. The three categories of chromosome rearrangements were more frequently observed in Trp53YC/YC MEFs than in Trp53-/- or WT cells (Figure 2G), indicating a GOF that promotes chromosomal instability.

Impact of p53Y217C on mouse development

We next determined the impact of the p53Y217C mutation in vivo, by comparing mouse cohorts generated from intercrosses of heterozygous Trp53+/- or Trp53+/YC mice resulting from ≥5 backcrosses to the C57BL/6J background. Intercrosses of Trp53+/- mice are known to yield a reduced proportion of Trp53-/- mice, that is mainly due to defects in neural tube closure causing exencephaly in a fraction of Trp53-/- female embryos (Armstrong et al., 1995; Sah et al., 1995), and, to a lesser extent, to lung dysfunction affecting a fraction of Trp53-/- neonates (Tateossian et al., 2015). At weaning (on the 21st day postpartum or P21), we observed one Trp53-/- female mouse for 3.5 Trp53-/- males from Trp53+/- intercrosses, an underrepresentation of females consistent with frequencies reported in earlier studies (Armstrong et al., 1995; Sah et al., 1995). Strikingly, the underrepresentation of weaned females was even more acute for Trp53YC/YC mice, with only one Trp53YC/YC female for 19 Trp53YC/YC males from Trp53+/YC intercrosses (Figure 3A). We next analyzed Trp53YC/YC embryos generated from heterozygous intercrosses or from heterozygous-homozygous (Trp53+/YC × Trp53YC/YC) crosses, at embryonic days E12.5-E16.5. An underrepresentation of Trp53YC/YC female embryos was not observed, but 11/26 (42%) female embryos exhibited developmental abnormalities, including 10 with exencephaly, whereas all the male embryos appeared normal (Figure 3B). Importantly, the frequency of Trp53YC/YC female embryos with exencephaly (38.5%) was much higher than the reported frequency (0–8%) of Trp53-/- female embryos with exencephaly of C57BL/6J x 129/Sv genetic background (Donehower et al., 1992; Sah et al., 1995), suggesting a stronger effect of the p53Y217C mutant on female embryonic development.

Figure 3 with 1 supplement see all
Trp53YC/YC mice exhibit female-specific perinatal lethality.

(A) Distribution of weaned mice obtained from Trp53+/- or Trp53+/YC intercrosses. Obs: observed numbers of mice at weaning (P21); exp: expected numbers assuming a Mendelian distribution without sex distortion; f/m: observed female/male ratios. Consistent with previous reports, the observed distribution of weaned mice from Trp53+/- intercrosses did not conform to values expected for a Mendelian distribution without sex distortion (U=5; χ2=16.31>15.09), indicating a significant deficit in female Trp53-/- mice (top). The distribution of weaned mice from Trp53+/YC intercrosses diverged even more from values for a Mendelian distribution without sex distortion (U=5; χ2=104.23>15.09), due to a striking deficit in female Trp53YC/YC mice (bottom). Differences between the frequencies of Trp53YC/YC (4/677) and Trp53-/- (8/196) females in the progeny, or between the female to male ratios for Trp53YC/YC (4/75) and Trp53-/- (8/28) animals, are statistically significant (p=0.0012 and p=0.0087 in Fisher’s tests, respectively). (B) Exencephaly is frequently observed in p53YC/YC female embryos. Top: the distribution of E12.5–16.5 embryos from heterozygous (Trp53+/YC) intercrosses or heterozygous-homozygous (Trp53+/YC × Trp53YC/YC) crosses is shown. f or m exenc.: number of female or male embryos with exencephaly; o.a.: embryos with other abnormalities. Below, examples of female Trp53YC/YC embryos at E12.5, E13.5, and E16.5 exhibiting exencephaly (arrows) are each shown (center) together with a normal embryo from the same litter (bottom). Scale bars : 1 mm. (C) Distribution of mice at birth from the indicated crosses. Of note, out of five Trp53YC/YC females observed at birth, only one remained alive at weaning age. Thus, the female/male ratio for weaned Trp53YC/YC animals from these crosses was 1/22, a ratio similar to the one observed in A (4/75).

In Trp53-/- female mice, exencephaly was previously correlated with stochastic aberrant X chromosome inactivation, with a decreased expression of Xist and an increase in bi-allelic expression of X-linked genes including Maob, Pls3, and Usp9x (Delbridge et al., 2019). We prepared neurospheres from Trp53+/+, Trp53-/-, and Trp53YC/YC female embryos and quantified mRNAs for these genes in neurospheres. Compared to neurospheres from WT animals, Trp53YC/YC and Trp53-/- neurospheres exhibited an apparent decrease in Xist expression and significantly higher levels of Maob, Pls3, and Usp9x (Figure 3—figure supplement 1). Thus, as for female Trp53-/- mice, aberrant chromosome X inactivation may contribute to the underrepresentation of Trp53YC/YC female mice. Of note however, defects in chromosome X inactivation did not appear more pronounced in Trp53YC/YC neurospheres than in Trp53-/- neurospheres.

To further analyze the impact of the p53Y217C mutation during development, we also determined its potential effect in embryos lacking Mdm2 or Mdm4, two major p53 regulators. The embryonic lethality resulting from Mdm2 or Mdm4 loss is rescued by a concomitant p53 deficiency (Bardot et al., 2015; Finch et al., 2002; Jones et al., 1995; Migliorini et al., 2002; Montes de Oca Luna et al., 1995; Parant et al., 2001). This provides a powerful assay for analyzing the functionality of p53 mutant alleles (Bardot et al., 2015; Iwakuma et al., 2004; Marine et al., 2006; Toledo et al., 2006). We identified Mdm2-/- Trp53YC/YC and Mdm4-/- Trp53YC/YC viable mice of both sexes, consistent with a major loss of canonical WT p53 activities in the p53Y217C mutant (Table 1). Of note, in these experiments we mated Mdm4+/- Trp53+/YC mice with Mdm4+/- Trp53YC/YC mice, or Mdm2+/- Trp53+/YC mice with either Mdm2-/- Trp53YC/YC or Mdm2+/- Trp53YC/YC animals, to analyze the progeny at weaning. No Trp53YC/YC female mouse was recovered from these crosses, whereas 14 Trp53YC/YC males were obtained, again demonstrating a striking deficit in Trp53YC/YC females at weaning. Among animals lacking one or two copies of either Mdm2 or Mdm4, we also observed a deficit in Trp53YC/YC weaned females. However, the female to male ratio for Trp53YC/YC animals appeared markedly increased in genetic backgrounds with Mdm4 haploinsufficiency (4/15) or loss (1/6), but only marginally increased (if at all) in genetic backgrounds with Mdm2 haploinsufficiency (1/11) or loss (1/11). This suggested that altering the levels of p53 inhibitors, particularly Mdm4, might improve the survival of Trp53YC/YC females (Table 1).

Table 1
Viability of Mdm2 or Mdm4 loss in a Trp53YC/YC background.

Mouse distributions from the indicated crosses were determined at weaning. As for Trp53+/YC intercrosses, these crosses yielded a deficit in weaned Trp53YC/YC females compared to Trp53YC/YC males (4/75 from Trp53+/YC intercrosses [Figure 3A]; 0/9 from crosses between Mdm4+/- Trp53+/YC and Mdm4+/- Trp53YC/YC mice; and 0/5 from mating Mdm2+/- Trp53+/YC mice with Mdm2+/- Trp53YC/YC or Mdm2-/- Trp53YC/YC animals). Trp53YC/YC females over Mdm4 or Mdm2 deficient or haploinsufficient backgrounds were also less frequent than their male counterparts, but the female/male ratio for Trp53YC/YC mice over a Mdm4+/- background (4/15) was significantly increased (p=0.04 when 4/75 and 4/15 ratios are compared in a Fisher’s test). Whether or not the female/male ratios for Trp53YC/YC mice were significantly increased over Mdm4-/- (1/6), Mdm2-/- (1/11), or Mdm2+/- (1/11) backgrounds remained uncertain due to limited animal numbers.

Mdm4+/-Trp53YC/YC × Mdm4+/- Trp53+/YCNr. femalesNr. malesSex ratio (f/m)Total
Mdm4+/+Trp53+/YC8110.7388
Mdm4+/+Trp53YC/YC090.00
Mdm4+/-Trp53+/YC15190.79
Mdm4+/-Trp53YC/YC4150.27
Mdm4-/-Trp53+/YC00NA
Mdm4-/-Trp53YC/YC160.17
Mdm2+/-Trp53YC/YC × Mdm2+/-Trp53+/YCor Mdm2-/- Trp53YC/YC × Mdm2+/-Trp53+/YCNr. femalesNr. malesSex ratio (f/m)Total
Mdm2+/+Trp53+/YC30NA63
Mdm2+/+Trp53YC/YC050.00
Mdm2+/-Trp53+/YC16151.07
Mdm2+/-Trp53YC/YC1110.09
Mdm2-/-Trp53+/YC00NA
Mdm2-/-Trp53YC/YC1110.09

The high frequency (42%) of abnormal Trp53YC/YC female embryos at E12.5-E16.5 could only partially account for the acute deficit in Trp53YC/YC females observed at weaning, suggesting either embryonic abnormalities undetectable macroscopically, or that a fraction of Trp53YC/YC females died later in development or postpartum. We performed additional crosses to analyze female to male ratios at postpartum day 0 or 1 (P0-P1) and observed 20 females for 18 males for Trp53+/+ animals, but only 5 females for 22 males for Trp53YC/YC animals (Figure 3C). Furthermore, only one of these Trp53YC/YC females reached weaning age, and the four other neonates died before P2. Altogether, these data led to conclude that the p53Y217C mutation caused female-specific developmental abnormalities at a higher penetrance than a null allele, leading to a perinatal (late embryonic or early postpartum) lethality for most homozygous mutant females.

Interestingly, we observed that Trp53YC/YC males were fertile and included them in some of our crosses to generate homozygous mutants at higher frequencies (Figure 3B and C). By contrast, we were able to mate two Trp53YC/YC adult females with a Trp53+/YC male, and both got pregnant but had to be euthanized due to complications while giving birth. In both cases, extended labor (>24 hr) was the main sign of dystocia (Table 2). These observations suggest that, even for the rare Trp53YC/YC females able to reach adulthood, the p53Y217C mutation caused pathological traits not observed in Trp53-/- females, because the loss of p53 was not previously reported to cause dystocia (Embree-Ku and Boekelheide, 2002; Guimond et al., 1996; Hu et al., 2007). Together, our data indicated that the p53Y217C mutation not only abolished canonical p53 activities, but also conferred additional effects compromising female perinatal viability or parturition.

Table 2
Evidence of dystocia in pregnant Trp53YC/YC females.

Results of the mating of two (a and b) Trp53YC/YC females (F) with a Trp53+/YC male (M) are shown. Both females were rapidly pregnant after encountering a male, but had to be sacrificed due to extended labor and pain during their first (female a) or third (female b) delivery.

F Trp53YC/YC amated with M Trp53+/YC
Litter 1
1 pup born 23 days after mating was initiated, found dead (partially eaten)
24 hr later, mother is still in labor
48 hr later, another pup found dead in cage, the mother appeared in pain and was sacrificed
F Trp53YC/YC bmated with M Trp53+/YC
Litter 1
2 pups born 24 days after mating was initiated: 1 found dead, 1 alive (F Trp53+/YC)
Litter 2
4 pups, all alive: 1 F Trp53+/YC, 3 M Trp53+/YC
Litter 3
After extended labor (24 hr) pup fragments were found in cage, the mother in pain was sacrificed with pups still inside the womb

Impact of p53Y217C on tumorigenesis

We next analyzed the impact of the p53Y217C mutation on the onset and spectrum of spontaneous tumors in mice. We first compared Trp53+/YC, Trp53+/-, and Trp53+/+ mouse cohorts for 2 years. Trp53+/YC and Trp53+/- cohorts exhibited similar spontaneous tumor onset and spectrum, with most mice developing sarcomas during their second year of life (Figure 4—figure supplement 1). Thus, at least for tumors arising spontaneously, the p53Y217C mutant protein did not appear to exert a DNE over the WT p53 protein.

We next compared Trp53YC/YC and Trp53-/- mouse cohorts. Because of the difficulty to generate Trp53YC/YC females, we restricted our comparison to males, to avoid potential biases that might result from different sex ratios. All Trp53-/- mice are known to die in less than 1 year, from thymic lymphomas in most cases, or more rarely from sarcomas (Donehower et al., 1992; Jacks et al., 1994). Trp53YC/YC males died faster than their Trp53-/- counterparts: all the Trp53YC/YC males were dead by the age of 7 months, whereas more than 20% of the Trp53-/- males were still alive at that age (Figure 4A). Furthermore, most Trp53-/- and Trp53YC/YC mice died from thymic lymphomas, but histological analysis of tumor organs revealed that the lymphomas in Trp53YC/YC males were more aggressive and invasive, with sites of metastases notably including the lungs, spleen, liver, or kidneys (Figure 4B and C, Figure 4—figure supplement 2). Thus, the p53Y217C mutation not only abolished canonical tumor suppressive activities but also apparently conferred oncogenic properties to the encoded protein. Consistent with this, when we performed an RNA-seq analysis of thymi from 8-week-old Trp53+/+, Trp53-/-, and Trp53YC/YC males, 81.5% of the 717 differentially expressed genes indicated an LOF in the p53Y217C mutant, but genes suggesting a GOF or an SOF were also observed (Figure 4—figure supplement 3A and Supplementary file 1). Of note, among the differentially expressed genes corresponding to an LOF in the p53Y217C mutant were Bbc3 (alias Puma), Cdkn1a (alias p21), and Zmat3 (Figure 4—figure supplement 3B), three p53 target genes known to play major roles in p53-mediated tumor suppression (Brennan et al., 2024).

Figure 4 with 3 supplements see all
Oncogenic effects of the mutant protein in Trp53YC/YC male mice.

(A–B) In homozygous males, p53Y217C leads to accelerated tumor-induced death (A), and aggressive metastatic tumors (B); n=cohort size. (C) Hematoxylin and eosin (H&E) staining of sections from the lung (top) and spleen (bottom) of Trp53-/- and Trp53YC/YC male mice, showing metastases in Trp53YC/YC animals. Normal organ structures are shown, with ‘A’ indicating pulmonary alveoli, and ‘WP’ and ‘RP’ standing for splenic white and red pulp, respectively. In the lung section of the Trp53YC/YC mouse, the rectangle indicates a lymphoma area. In the spleen section of the Trp53YC/YC mouse, the typical splenic structures are absent due to massive tissue homogenization of the spleen by lymphoma cells.

We next performed a comparative analysis focusing on Trp53YC/YC and Trp53-/- thymi, which revealed 192 differentially expressed genes (Figure 5A and B and Supplementary file 2). An analysis of these data with GOrilla, the Gene Ontology enRIchment anaLysis and visuaLizAtion tool (Eden et al., 2009), indicated that 141 of these genes were associated with at least one gene ontology (GO) term, and revealed a significant enrichment for genes associated with white blood cell chemotaxis/migration and inflammation (Figure 5C, Figure 5—figure supplement 1). Among these genes were notably Ccl17, Ccl9, Ccr3, Cxcl10, S100a8, and S100a9, six genes associated each with 10–15 GO terms related to white blood cell behavior and inflammation (Supplementary file 3). We next used RT-qPCR to quantify the expression of these genes in thymi from 8-week-old Trp53+/+, Trp53YC/YC, and Trp53-/- male mice. Their expression was significantly increased in Trp53YC/YC thymic cells compared to Trp53-/-, or to both Trp53+/+ and Trp53-/- cells, consistent with GOF/SOF effects in the p53Y217C mutant (Figure 5D). We also compared the transcriptomes of Trp53YC/YC and Trp53-/- thymocytes by gene set enrichment analysis (GSEA) (Subramanian et al., 2005). We found 13 gene sets significantly enriched in Trp53YC/YC cells with normalized enrichment scores (NES)>2, among which three (‘antimicrobial peptides’, ‘chemokine receptors bind chemokines’, and ‘defensins’) were related to immunity (Figure 5E, Figure 5—figure supplement 2A), consistent with an inflammatory response associated with the p53Y217C mutant. Other enriched gene sets notably included five sets (‘electron transport chain’, ‘respiratory electron transport ATP synthesis by chemiosmotic coupling and heat production by uncoupling proteins’, ‘mitochondrial translation’, ‘respiratory electron transport’, and ‘oxidative phosphorylation’) related to mitochondria function, and three sets (‘deposition of new CENPA-containing nucleosomes at the centromere’, ‘arginine methyltransferases methylate histone arginines’, and ‘PRC2 methylates histones and DNA’) related to chromatin plasticity (Figure 5E, Figure 5—figure supplement 2B and C). These gene sets, differentially expressed between Trp53YC/YC and Trp53-/- cells, might contribute to accelerated tumorigenesis in Trp53YC/YC mice, given the reported impact of inflammation, metabolism changes, and epigenetic plasticity on cancer evolution (Feinberg et al., 2006; Greten and Grivennikov, 2019; Kroemer and Pouyssegur, 2008). Furthermore, the hotspot mutants p53G245D or p53R273H were recently proposed to promote tumor progression by inducing non-canonical nuclear factor kappa light chain enhancer of activated B cell (NC-NF-κB) signaling (Zhao et al., 2024). In Trp53YC/YC cells, one gene set related to NC-NF-κB (‘Dectin 1-mediated non-canonical NF-κB signaling’) was significantly enriched and two other NF-κB-related gene sets were also potentially enriched (Figure 5F, Figure 5—figure supplement 3).

Figure 5 with 3 supplements see all
Evidence of inflammation in Trp53YC/YC mice.

(A–B) RNA-seq analysis of thymi from Trp53YC/YC (n=3) and Trp53-/- (n=3) 8-week-old male mice. Volcano plot (A), with differentially expressed genes (DEGs), downregulated (blue) or upregulated (red) in Trp53YC/YC cells. Unsupervised clustering heat-map plot (B), with 192 DEGs ranked according to log2 fold changes. (C) Gene ontology (GO) analysis of DEGs. Out of 192 DEGs, 141 are associated with at least one GO term, according to the Gene Ontology enRIchment anaLysis and visuaLizAtion tool (GOrilla). For each GO term, enrichment was calculated by comparing with the full list of 19,759 genes associated with a GO term, and results are presented here with a color scale according to p-value of enrichment. This analysis mainly revealed an enrichment for genes associated with white blood cell chemotaxis/migration and inflammation, as shown here. Complete results of the analysis are presented in Figure 5—figure supplement 1. (D) RT-qPCR analysis of the indicated genes in thymi from 8-week-old Trp53+/+, Trp53YC/YC, and Trp53-/- male mice. Means + SEM (n=3 per genotype). ***p<0.001, **p<0.01, *p<0.05, °p<0.075 by Student’s t-test. (E) Gene set enrichment analysis (GSEA) of transcriptomes from Trp53YC/YC and Trp53-/- thymic cells. GSEA identified 13 gene sets enriched in Trp53YC/YC cells with normalized enrichment scores (NES)>2. Nominal p-values (NOM p-val) and false discovery rate q-values (FDR q-val) are indicated. (F) GSEA provides evidence of increased NC-NF-κB signaling in Trp53YC/YC male thymocytes. Results are presented as in (E). (G) Supformin (LCC-12), an anti-inflammatory molecule, increases the female to male ratio in Trp53YC/YC weaned pups. Trp53+/YC females were mated with Trp53YC/YC males, then oral gavage of pregnant females with 5 mg/kg supformin was performed on the 10th and 11th days post-coitum, and their progeny was genotyped at weaning. The female to male (f/m) ratio for Trp53YC/YC weaned pups that were exposed to supformin in utero (+) was compared to the f/m ratios for Trp53-/- or Trp53YC/YC weaned pups never exposed to supformin (-). Exposure to supformin led to a fivefold increase in the proportion of Trp53YC/YC weaned females. **p<0.01, °p=0.056, ns: non-significant by Fisher’s test.

Reducing inflammation may rescue a fraction of female Trp53YC/YC embryos

Our data indicated that inflammation correlated with accelerated tumorigenesis in Trp53YC/YC male mice. Interestingly, inflammation was previously proposed to promote neural tube defects or embryonic death in a few mouse models (Lian et al., 2004; McNairn et al., 2019; Zhao et al., 2013). Furthermore CD44, encoding a cell-surface glycoprotein that drives inflammation and cancer progression (Solier et al., 2023), was recently identified as a key gene for the diagnosis and early detection of open neural tube defects (Karthik et al., 2022). Together, these data led us to hypothesize that, at least in a fraction of Trp53YC/YC females, neural tube defects might result from inflammation. To test this hypothesis, we mated Trp53+/YC female mice with Trp53YC/YC males, then administered supformin to pregnant females by oral gavage. Supformin (LCC-12), a potent inhibitor of the CD44-copper signaling pathway, was shown to reduce inflammation in vivo (Solier et al., 2023). Without any treatment, our previous crosses (Figure 3 and Table 1) collectively yielded a female to male ratio of 0.045 for Trp53YC/YC weaned mice (f/m=5/111 [4+1+ 0+0]/[75+22+ 9+5]), significantly different from the ratio of 0.29 (f/m=8/28) for Trp53-/- weaned animals. By contrast, in the progeny of supformin-treated pregnant mice we observed a fivefold increase in the female to male ratio for Trp53YC/YC weaned animals, to reach a value of 0.23 (f/m=3/13) indistinguishable from the ratio in Trp53-/- weaned animals from untreated mice (Figure 5G and Supplementary file 4). This result suggests that reducing inflammation in developing Trp53YC/YC female embryos may increase their viability.

Discussion

In this report, we generated a mouse model with a Trp53Y217C allele, the murine equivalent of the human hotspot mutant TP53Y220C. The analysis of this mouse model indicated that the p53Y217C mutation leads to the loss of many canonical WT p53 activities, notably the capacity to transactivate target genes important for tumor suppression (e.g. Bbc3, Cdkn1a, and Zmat3). The fact that p53Y217C can rescue the embryonic lethality caused by a deficiency in Mdm2 or Mdm4 is also consistent with a major loss of canonical WT p53 functions (LOF) in this mutant. These findings are consistent with the notion that hotspot p53 mutants cause a complete or near complete LOF (Funk et al., 2025).

In addition, our analyses provide evidence that the p53Y217C mutation exhibits oncogenic effects. The possibility that a mutant p53 might acquire oncogenic functions was first suggested over 30 years ago (Dittmer et al., 1993), but this notion became controversial in recent years. Indeed, studies of a few p53 mutants in human acute myeloid leukemia and a mouse model of B cell lymphoma indicated that their increased tumorigenicity might result from DNE rather than GOF, and a recent study further suggested that the putative GOF of many p53 mutants would not be required to sustain the expansion of tumors (Aubrey et al., 2018; Boettcher et al., 2019; Wang et al., 2024). Here, however, we observed accelerated tumorigenesis in Trp53YC/YC mice, but did not observe any evidence of DNE for spontaneous tumorigenesis in Trp53+/YC animals. Importantly, the fact that p53Y217C did not exhibit a DNE over the WT protein is consistent with the report that Li-Fraumeni patients carrying an heterozygous TP53Y220C mutation display a similar age of cancer onset than Li-Fraumeni patients with an heterozygous non-sense TP53 mutation (Xu et al., 2014). Furthermore, our evidence of an oncogenic GOF leading to aggressive metastatic tumors in Trp53YC/YC male mice is consistent with the oncogenic GOF attributed to p53Y220C in male patients with glioblastoma (Rockwell et al., 2021) or with experiments suggesting that p53Y220C expression in p53-null cells, or its overexpression in MCF-10A cells, may increase their migratory or invasive capacities (Pal et al., 2023; Zhou et al., 2022).

Our transcriptomic analyses suggested that the p53Y217C mutant might accelerate tumorigenesis by promoting inflammation, a hallmark of cancer (Hanahan, 2022) previously associated with a few other hotspot p53 mutants with oncogenic GOF (Agupitan et al., 2020; Behring et al., 2019; Ham et al., 2019; Zhao et al., 2024). Interestingly, the GSEA comparison of transcriptomes from Trp53YC/YC and Trp53-/- male thymic cells indicated differences related to inflammation and chemokine signaling, but also to mitochondria function and chromatin plasticity, and a link between inflammation, mitochondrial copper, and epigenetic plasticity was recently demonstrated (Solier et al., 2023). Furthermore, the p53G245D or p53R273H mutants were proposed to accelerate tumorigenesis by promoting a chromosomal instability that would activate NC-NF-κB signaling and promote tumor cell metastasis (Zhao et al., 2024). Here, we observed increased chromosomal instability in Trp53YC/YC fibroblasts, increased NC-NF-κB and inflammation-related signaling in Trp53YC/YC thymocytes, and increased tumor metastasis in Trp53YC/YC mice compared to their Trp53-/- counterparts. These data suggest that similar mechanisms might underlie the oncogenic properties of the p53Y217C, p53G245D, and p53R273H mutants.

A striking and unexpected effect of the p53Y217C mutation was its severe impact on the perinatal viability of female mice, which led to observe only four Trp53YC/YC females for 75 Trp53YC/YC males at weaning from heterozygous intercrosses, or five Trp53YC/YC females for 111 Trp53YC/YC males when all weaned animals from relevant crosses were considered. The perinatal lethality of Trp53YC/YC females correlated with a high frequency (38.5%) of exencephalic females at E12.5–16.5 embryonic ages. By comparison, the female to male ratio at weaning was 8/28 for Trp53-/- mice, and only 0–8% of exencephalic female Trp53-/- embryos were reported in similar genetic backgrounds (Armstrong et al., 1995; Donehower et al., 1992; Sah et al., 1995). These observations provide evidence of teratogenic effects for the p53Y217C mutant protein. Three other mouse p53 models were previously found to cause exencephaly at a higher frequency than a p53 null allele: Trp53NLS1, with three mutations at residues 316–318 affecting a nuclear localization signal and leading to a predominantly cytoplasmic localization of p53NLS1 in most cells (Regeling et al., 2011); Trp53N236S, a mouse model of TP53N239S, a recurrent but uncommon mutant in human cancers (Zhao et al., 2019); and Bim+/- Trp53-/- mice, combining p53 loss with an haploinsufficiency in the cytoplasmic proapoptotic regulator Bim/Bcl2l11 (Delbridge et al., 2019). The female-specific lethality of Trp53N236S mice was proposed to result from increased Xist expression, whereas a decrease in Xist expression was observed in Bim+/- Trp53-/- mice, suggesting distinct causes for neural tube defects (Delbridge et al., 2019; Zhao et al., 2019). We observed decreased Xist expression and an increased expression of X-linked genes in neurospheres from Trp53YC/YC females compared to WT females, whereas these genes were expressed at similar levels in neurospheres from Trp53YC/YC and Trp53-/- females. These results are not consistent with the mechanism proposed for exencephaly in the Trp53N236S mouse model, but might rather reflect a p53 LOF in Trp53YC/YC embryos. In addition, the analyses of the Trp53NLS1 and Bim+/- Trp53-/- mouse models make it tempting to speculate that, in female Trp53YC/YC embryos, the abundance of p53Y217C in the cytoplasm might perturb mitochondria function (Blandino et al., 2020) to further promote neural tube closure defects. Consistent with this possibility, p53 mutant proteins accumulating in the cytoplasm were reported to inhibit autophagy (Morselli et al., 2008), a key determinant for mitochondrial integrity (Rambold and Lippincott-Schwartz, 2011), and autophagy impairment may promote neural tube defects (Fimia et al., 2007; Ye et al., 2020).

Importantly, our data suggest that common mechanisms might contribute to the oncogenic effects accelerating tumorigenesis in Trp53YC/YC males and the teratogenic effects causing the perinatal lethality of many Trp53YC/YC females. Indeed, the RNA-seq analysis of male thymocytes indicated that inflammation likely promotes oncogenesis in Trp53YC/YC males, and the administration of the anti-inflammatory drug supformin to pregnant mice increased the ratio of Trp53YC/YC weaned females in their progeny. Thus, the low female/male ratio observed for Trp53YC/YC weaned animals would likely result not only from aberrant X chromosome inactivation in female embryos as in Trp53-/- animals (Delbridge et al., 2019), but also from inflammation. Presumably, a higher level of chromosomal instability in Trp53YC/YC cells might promote inflammation in Trp53YC/YC embryos (Rodier et al., 2009), and this might be more detrimental to females because Trp53YC/YC males would be protected by the anti-inflammatory effects of androgens (Ainslie et al., 2024; Bianchi, 2019; McNairn et al., 2019). Of note, we also observed that decreased Mdm4 levels increased the female/male ratio in Trp53YC/YC weaned mice. Because MDM4 overexpression was shown to promote genome instability and inflammation in cells independently of p53 (Carrillo et al., 2015; Liu et al., 2024), it is tempting to speculate that, as for supformin-treated mice, the improved survival of Trp53YC/YC female embryos in an Mdm4+/- background might result from decreased inflammation. Interestingly, in the offspring of human pregnancies at risk of early preterm delivery, an interleukin-6 polymorphism was associated with a female-specific susceptibility to adverse neurodevelopmental outcome (Varner et al., 2020), suggesting that inflammation may also impact the development of human female embryos. Finally, our mating attempts with Trp53YC/YC mice indicated that Trp53YC/YC pregnant females exhibited dystocia, and parturition is considered to be a finely regulated inflammatory process (Zhang and Wei, 2021). Of note, dystocia was not observed in Trp53-/- mice, but was previously reported in pregnant females with a combined deficiency of p53 and FasL (Embree-Ku and Boekelheide, 2002). The fact that Trp53YC/YC females shared phenotypic traits with both Bim+/- Trp53-/- mice (neural tube defects) and FasL-/- Trp53-/- mice (dystocia) may seem relevant, because Bim and FasL are both regulators of apoptosis and autophagy that also regulate immune responses (Sionov et al., 2015; Taylor and Ng, 2018). Altogether, these data suggest that inflammation may cause accelerated tumorigenesis in Trp53YC/YC male mice and contribute to promote neural tube defects in Trp53YC/YC female embryos or dystocia in Trp53YC/YC pregnant females (Table 3).

Table 3
Effects of the Trp53Y217C mutation: a summary.

The comparison between Trp53-/- and Trp53Y217C/Y217C mice is presented. The phenotypes observed in Trp53-/- male (M) and female (F) mice result from p53 loss of function (LOF), whereas those observed in Trp53Y217C/Y217C mice result from p53 LOF as well as additional effects (gain of function [GOF] in bold). The + signs denote the presence of a phenotype. Xi: X chromosome inactivation.

Trp53-/- (LOF)Trp53Y217C/Y217C (LOF+GOF)
Spontaneous tumors (mostly thymic lymphomas), death in ≤1 year.
++
(M & F)
Spontaneous tumors (mostly thymic lymphomas) with metastases, death in 7 months
+++
(only M were evaluated due to scarcity of F) inflammation in thymic cells
Perinatal lethality
+
(F only: Xi aberrations)
Perinatal lethality increased
+++++
(F only: Xi aberrations and inflammation)
F partial rescue by supformin
No dystocia
(pregnant F)
Dystocia
+
(pregnant F)

In conclusion, we generated a mouse model expressing p53Y217C, the murine equivalent of human p53Y220C, and its analysis revealed that the GOF of a hotspot mutant p53 may not be limited to oncogenic effects. This is an important notion to consider given the ever-expanding functions ascribed to p53 (Hu, 2009; Rakotopare and Toledo, 2023; Voskarides and Giannopoulou, 2023; Vousden and Lane, 2007). In addition, our results unveiled the potential relevance of supformin in obstetrics, which deserves further investigation.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Gene (Mus musculus)Trp53GenBankENSMUSG00000059552
Strain, strain background (M. musculus, both sexes)Trp53Y217C (Trp53YC), C57Bl/6JThis paper‘Targeting in ES cells and genotyping’
Strain, strain background (M. musculus, females)PGK-Cre, C57Bl/6JJackson LabsB6.C-Tg(Pgk1-cre)1Lni/CrsJ
Strain, strain background (M. musculus, both sexes)Trp53-, C57Bl/6JJackson LabsB6.129S2-Trp53tm1Tyj/J
Strain, strain background (M. musculus, both sexes)C57Bl/6JCharles River Labs
Cell line (M. musculus, both sexes)WT, Trp53+/YC, Trp53YC/YC, Trp53+/-, Trp53-/- fibroblastsThis paperPrimary fibroblasts from E13.5 embryos‘Cells and cell culture reagents’
Cell line (M. musculus, females)WT, Trp53YC/YC, Trp53-/- neurospheresThis paperNeurospheres from E14.5 embryos‘Cells and cell culture reagents’
Antibodyp53 (Rabbit polyclonal)NovocastraLeica NCL-p53-CM5p1/2000
Antibodyp53 (Rabbit polyclonal)Santa CruzFL-393 Sc 624350 μg
Antibodyp53 (Goat polyclonal)R&D SystemsAF-13551/600
AntibodyMdm2 (Mouse monoclonal)Abcam4B-21/500
Antibodyp21 (Mouse monoclonal)Santa CruzF-5 sc62461/200
AntibodyActin (Mouse monoclonal)Santa CruzActin-HRP sc477781/5000
AntibodyTubulin (Rabbit polyclonal)Abcamab155681/1000
AntibodyNup98 (Rat monoclonal)Abcamab506101/1000
AntibodyHistone H3 (Rabbit polyclonal)Abcamab17911/1000
Sequence-based reagentTrp53 (c)This paperPrimer for genotypingGTGTGTTGGCCATCTCTGTG; Figure 1
Sequence-based reagentTrp53 (d)This paperPrimer for genotypingAACCGGACTCAGCGTCTCTA; Figure 1
Sequence-based reagentTrp53-FFajac et al., 2024qPCR primerAAAGGATGCCCATGCTACAGA; Figure 1
Sequence-based reagentTrp53-RFajac et al., 2024qPCR primerTCTTGGTCTTCAGGTAGCTGGAG; Figure 1
Sequence-based reagentCcl17-FThis paperqPCR primerGCTGGTATAAGACCTCAGTGGAGTGT; Figure 5
Sequence-based reagentCcl17-RThis paperqPCR primerGCTTGCCCTGGACAGTCAGA; Figure 5
Sequence-based reagentCcl9-FThis paperqPCR primerGCACAGCAAGGGCTTGAAA; Figure 5
Sequence-based reagentCcl9-RThis paperqPCR primerCAGGCAGCAATCTGAAGAGTCTT; Figure 5
Sequence-based reagentS100a8-FThis paperqPCR primerTCCTTTGTCAGCTCCGTCTTC; Figure 5
Sequence-based reagentS100a8-RThis paperqPCR primerGACGGCATTGTCACGAAAGAT; Figure 5
Peptide, recombinant proteinSuperscript IVInvitrogenTF #18090010
Commercial assay or kitNucleospin RNA IIMacherey-NagelFS #NZ74095520
Commercial assay or kitPower SYBR GreenApplied Biosystems#4367659
Commercial assay or kitSupersignal West FemtoThermo Fisher#34096
Commercial assay or kitAnnexin V-FITC apoptosis staining/ detection kitAbcam#Ab14085
Commercial assay or kitTruSeq Stranded Total RNAIllumina#20020596
Chemical compound, drugNutlin 3aSigma-Aldrich#SML-0580
Chemical compound, drugDoxorubicinSigma-Aldrich#D1515
Chemical compound, drugSupforminSolier et al., 2023
Software, algorithmFlowJoBeckton-DickinsonRRID:SCR_00852010.10
Software, algorithmfeatureCountsLiao et al., 2014
Software, algorithmDESeq2 R packageLove et al., 2014
Software, algorithmGOrillaEden et al., 2009
Software, algorithmGSEA softwareSubramanian et al., 2005
Software, algorithmPrismGraphPadRRID:SCR_0027985.0

LSL-Y217C construct

Request a detailed protocol

We used mouse genomic Trp53 DNA from previous constructs, containing a portion of intron 1 with a LoxP-Stop-LoxP (LSL) cassette (Ventura et al., 2007) in which the puromycin resistance gene was replaced by a neomycin resistance gene (Simeonova et al., 2013). The point mutation (A to G) encoding a Tyr to Cys substitution (TAT to TGT) at codon 217, together with a silent mutation nearby creating a Ban II restriction site, were introduced by PCR directed mutagenesis by using primers Y217C-F and Y217C-R (see Supplementary file 5 for primer sequences). The resulting Trp53LSL-Y217C targeting vector was fully sequenced before use.

Targeting in ES cells and genotyping

Request a detailed protocol

129/SvJ ES cells were electroporated with the targeting construct linearized with Not I. Two recombinant clones, identified by long-range PCR and confirmed by internal PCR and Southern blot, were injected into C57BL/6J blastocysts to generate chimeras, and germline transmission was verified by genotyping their offspring. In vivo excision of the LSL cassette was performed by breeding Trp53+/LSL-Y217C male mice with females carrying the PGK-Cre transgene (Lallemand et al., 1998) and genotyping their offspring. The Trp53Y217C (p53YC) mutation was routinely genotyped by PCR using primers c and d (Figure 1, Supplementary file 5) followed by BanII digestion. Tumorigenesis studies were performed on mouse cohorts resulting from ≥5 generations of backcrosses with C57BL6/J mice. For all experiments, mice housing and treatment were conducted according to the Institutional Animal Care and Use Committee of the Institut Curie (approved project #03769.02).

Cells and cell culture reagents

Request a detailed protocol

MEFs isolated from 13.5-day embryos were cultured in a 5% CO2 and 3% O2 incubator, in DMEM GlutaMAX (Gibco), with 15% FBS (Biowest), 100 μM 2-mercaptoethanol (Millipore), 0.01 mM Non-Essential Amino-Acids, and penicillin/streptomycin (Gibco) for ≤6 passages. Cells were irradiated with a Cs γ-irradiator or treated for 24 hr with 10 μM Nutlin 3a (Sigma-Aldrich) or 1 μM Doxorubicin (Sigma-Aldrich). Neurospheres were prepared by isolating neural stem/progenitor cells (NPCs) from the lateral and median ganglionic eminences of E14.5 embryos. NPCs were cultured in a 5% CO2 incubator, in DMEM/F12 medium (with L-Glutamine, Invitrogen) supplemented with 1% B-27 (Invitrogen), 1% N2 (Invitrogen), 0.3% glucose (Invitrogen), 25 μg/ml insulin (Sigma-Aldrich), 20 ng/ml EGF (PeproTech), 10 ng/ml bFGF (PeproTech), and penicillin/streptomycin (Gibco). Neurospheres were dissociated once a week by Accutase treatment and mechanically, then seeded at 106 cells per 6 cm diameter dish. Cell culture supernatants were tested and found negative for mycoplasma contamination.

Quantitative RT-PCR

Request a detailed protocol

Total RNA, extracted using NucleoSpin RNA II (Macherey-Nagel), was reverse-transcribed using SuperScript IV (Invitrogen). Real-time quantitative PCRs were performed as previously described (Simeonova et al., 2012), on an ABI PRISM 7500 using Power SYBR Green (Applied Biosystems). Primer sequences are reported in Supplementary file 5.

Western blots

Request a detailed protocol

Cells were lysed in RIPA buffer (50 mM Tris-HCl pH 8, 150 mM NaCl, 5 mM EDTA, 0.5% deoxycholic acid, 0.1% SDS, 1% NP-40) supplemented with Protease inhibitors cocktail (Roche) and 1 mM PMSF (Sigma). Whole-cell extracts were sonicated three times for 10 s and centrifuged at 13,000 rpm for 30 min to remove cell debris. Protein lysate concentration was determined by BCA assay (Thermo Scientific) and 30 μg of each lysate was fractionated by SDS-PAGE on a 4–12% polyacrylamide gel and transferred onto polyvinylidene difluoride membranes (Amersham). Membranes were incubated with antibodies raised against Mdm2 (MDM2-4B2, Abcam, 1/500), p53 (CM-5, Novocastra, 1/2000), p21 (F5, Santa Cruz Biotechnology, 1/200), and actin (actin-HRP sc47778, Santa Cruz Biotechnology, 1/5000). Chemiluminescence revelation of western blots was achieved with the SuperSignal West Dura (Perbio).

ChIP assay

Request a detailed protocol

ChIP analysis was performed as previously described (Simeonova et al., 2013). p53-DNA complexes were immunoprecipitated from total extracts by using 50 μg of a polyclonal antibody against p53 (FL-393, Santa Cruz Biotechnology) and 300 μg of sonicated chromatin. Rabbit IgG (Abcam) was used for control precipitation. Quantitative PCR was performed on ABI PRISM 7500. Primer sequences are reported in Supplementary file 5.

Cell fractionation assay

Request a detailed protocol

Cells were lysed in hypotonic lysis buffer (10 mM Tris pH 7.5, 10 mM NaCl, 3 mM MgCl2, 0.3% NP-40, 10% glycerol) on ice for 10 min, then centrifuged at 4°C for 3 min at 1000×g. The supernatant was recovered as the cytoplasmic fraction, and the pellet was incubated in a modified Wuarin-Schibler buffer (10 mM Tris-HCl pH 7.0, 4 mM EDTA, 0.3 M NaCl, 1 M urea, 1% NP-40) on ice for 5 min, vortexed, incubated on ice for 10 min, then centrifuged at 4°C for 3 min at 1000×g. The supernatant was recovered as the nucleoplasmic fraction, and the pellet was washed, then incubated in a nuclear lysis buffer (20 mM Tris pH 7.5, 150 mM KCl, 3 mM MgCl2, 0.3% NP-40, 10% glycerol) on ice for 5 min, sonicated, then centrifuged at 13,000 rpm at 4°C and the supernatant was recovered as the chromatin fraction. All buffers were supplemented with Protease inhibitors cocktail (Roche). Cellular fractions were analyzed by western blots with antibodies against p53 (AF-1355, R&D Systems, 1/600), Tubulin (ab15568, Abcam, 1/1000), Nup98 (ab50610, Abcam, 1/1000), and histone H3 (ab1791, Abcam, 1/1000). Chemiluminescence revelation was achieved with SuperSignal West Pico or Femto (Thermo Scientific) and analyzed with a ChemiDoc Imaging System (Bio-Rad). Scans for chemiluminescence were performed, with or without superposed colorimetric scans for molecular weights.

Immunofluorescence

Request a detailed protocol

MEFs were cultured on collagen-coated coverslips, treated with 10 μM Nutlin 3a (Sigma-Aldrich) for 24 hr and analyzed. Coverslips were stained with rabbit anti-p53 FL-393 (Santa Cruz Biotechnology, 1/50), mouse anti-actin primary antibody and with Alexa Fluor 647 anti-Rabbit and Alexa Fluor 488 anti-Mouse secondary antibodies (Molecular Probes). DNA was counterstained with DAPI. Images were captured on an epifluorescence microscope using equal exposure times for all images for each fluor.

Cell cycle assay

Request a detailed protocol

Log phase cells were irradiated at room temperature with a Cs γ-irradiator at doses of 3 or 12 Gy, incubated for 24 hr, then pulse labeled for 1 hr with BrdU (10 μM), fixed in 70% ethanol, double stained with FITC anti-BrdU and propidium iodide, and analyzed by flow cytometry with a BD Biosciences FACSort and the FlowJo software.

Apoptosis assay

Request a detailed protocol

Six- to eight-week-old mice were left untreated or submitted to 10 Gy whole-body γ-irradiation. Mice were sacrificed 4 hr later and thymi were extracted. Thymocytes were recovered by filtration through a 70 μm smash, stained with Annexin V-FITC Apoptosis detection kit (Abcam) and propidium iodide, then analyzed with an LSRII FACS machine. Data were analyzed using FlowJo software.

Metaphase spread preparation and analysis

Request a detailed protocol

Primary MEFs (at passage 4 for all genotypes) were treated with 0.1 mM nocodazole for 3 hr to arrest cells in metaphase, then submitted to hypotonic shock (75 mM KCl), fixed in a (3:1) ethanol/acetic acid solution, dropped onto glass slides, then air-dried slides were stained with Giemsa to score for chromosome aberrations. Images were acquired using a Zeiss Axiophot (×63) microscope.

Histology

Request a detailed protocol

Organs were fixed in formol 4% for 24 hr, then ethanol 70%, and embedded in paraffin wax. Serial sections of 3 μm were stained as described (Simeonova et al., 2013), with hematoxylin and eosin using standard procedures.

RNA-seq analysis

Request a detailed protocol

Total RNA was extracted from the thymi of 8-week-old asymptomatic male mice using nucleospin RNA II (Macherey-Nagel). The quality of RNA was checked with Bioanalyzer Agilent 2100 and RNAs with an RNA integrity number (RIN)>7 were retained for further analysis. RNA was depleted from ribosomal RNA, then converted into cDNA libraries using a TruSeq Stranded Total Library preparation kit (Illumina). Paired-end sequencing was performed on an Illumina MiSeq platform. Reads were mapped to the mouse genome version GRCm38 and counted on gene annotation gencode.vM18 with featureCounts (Liao et al., 2014). Differentially expressed genes with an adjusted p-value<0.05 were identified using the DESeq2 R package (Love et al., 2014).

GO analysis

Request a detailed protocol

GO analysis of differentially expressed genes was performed by using the GOrilla (Technion) software as previously described (Rakotopare et al., 2023). Enrichment analyses were carried out by comparing the list of 192 differentially expressed genes between Trp53YC/YC and Trp53-/- thymi to the full list of genes (background), with ontology searches for biological processes and default p-value settings (10−3).

Gene set enrichment analysis

Request a detailed protocol

GSEA was performed by using the GSEA software with canonical pathway gene sets from the Mouse Molecular Signature Database (MSigDB) (Subramanian et al., 2005). Gene sets with a false discovery rate (FDR) q-value<0.25 were regarded as potentially relevant. The best candidates, with an FDR q-value<0.01, exhibited NES>1.91 and nominal p-values<0.003.

Oral gavage of pregnant females

Request a detailed protocol

Trp53+/YC female mice were mated with Trp53YC/YC males, then mice with a vaginal plug on the next day were separated from males and weighted every other day to confirm pregnancy. On the 10th and 11th days post-coitum, pregnant mice received 5 mg/kg of supformin (in a PBS solution) by oral gavage with flexible gauge feeding tubes, then their pups were genotyped at weaning.

Statistical analyses

Request a detailed protocol

Unless noted otherwise, we used a Student’s t-test to analyze differences between two groups of values. For the proportions of mice at weaning, the observed mouse count was compared to the expected count according to Mendel’s distribution and a chi-square (χ2) test, and a Fisher’s test was applied to compare frequencies of mutant females or female to male ratios. Fisher’s tests were also used to analyze frequencies of chromosome rearrangements in fibroblasts. Survival curves were analyzed with log-rank Mantel-Cox tests. Analyses were performed by using GraphPad Prism, and values of p≤0.05 were considered significant.

Data availability

RNA sequencing data have been deposited in the Gene Expression Omnibus (GEO) under the accession code GSE248936. All other data are available within the article and its supplementary information. Materials can be provided by Franck Toledo pending scientific review and a completed material transfer agreement. Requests for materials should be submitted to franck.toledo@sorbonne-universite.fr.

The following data sets were generated
    1. Bardot B
    2. Toledo F
    3. Gabriel M
    (2025) NCBI Gene Expression Omnibus
    ID GSE248936. Thymocytes mRNA profiles of 8 weeks-old p53+/+, p53Y217C/Y217C and p53-/- male mice.

References

    1. Finch RA
    2. Donoviel DB
    3. Potter D
    4. Shi M
    5. Fan A
    6. Freed DD
    7. Wang CY
    8. Zambrowicz BP
    9. Ramirez-Solis R
    10. Sands AT
    11. Zhang N
    (2002)
    mdmx is a negative regulator of p53 activity in vivo
    Cancer Research 62:3221–3225.
    1. Vousden KH
    2. Lane DP
    (2007) p53 in health and disease
    Nature Reviews. Molecular Cell Biology 8:275–283.
    https://doi.org/10.1038/nrm2147

Article and author information

Author details

  1. Sara Jaber

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Contributed equally with
    Eliana Eldawra and Jeanne Rakotopare
    Competing interests
    No competing interests declared
  2. Eliana Eldawra

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Contributed equally with
    Sara Jaber and Jeanne Rakotopare
    Competing interests
    No competing interests declared
  3. Jeanne Rakotopare

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Contributed equally with
    Sara Jaber and Eliana Eldawra
    Competing interests
    No competing interests declared
  4. Iva Simeonova

    Chromatin Dynamics, Institut Curie, CNRS UMR3664, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  5. Vincent Lejour

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2797-1507
  6. Marc Gabriel

    Non Coding RNA, Epigenetic and Genome Fluidity, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Formal analysis
    Competing interests
    No competing interests declared
  7. Tatiana Cañeque

    Chemical Biology, Institut Curie, CNRS UMR3666, INSERM U1143, PSL University, Paris, France
    Contribution
    Resources
    Competing interests
    No competing interests declared
  8. Vitalina Volochtchouk

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  9. Monika Licaj

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  10. Anne Fajac

    Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  11. Raphaël Rodriguez

    Chemical Biology, Institut Curie, CNRS UMR3666, INSERM U1143, PSL University, Paris, France
    Contribution
    Resources
    Competing interests
    No competing interests declared
  12. Antonin Morillon

    Non Coding RNA, Epigenetic and Genome Fluidity, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    Contribution
    Resources
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0575-5264
  13. Boris Bardot

    1. Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    2. Signaling and Neural Crest Development, Institut Curie, CNRS UMR3347, INSERM U1021, Université Paris-Saclay, PSL University, Orsay, France
    Contribution
    Formal analysis, Supervision, Investigation, Visualization, Writing – original draft
    For correspondence
    boris.bardot@curie.fr
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4976-9593
  14. Franck Toledo

    1. Genetics of Tumor Suppression, Institut Curie, CNRS UMR3244, Sorbonne University, PSL University, Paris, France
    2. Hematopoietic and Leukemic Development, Centre de Recherche Saint-Antoine, INSERM UMRS938, Sorbonne University, Paris, France
    Contribution
    Conceptualization, Formal analysis, Supervision, Funding acquisition, Investigation, Visualization, Writing – original draft, Project administration, Writing – review and editing
    For correspondence
    franck.toledo@sorbonne-universite.fr
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3798-4106

Funding

Fondation ARC pour la Recherche sur le Cancer (Projet)

  • Franck Toledo

Ligue Contre le Cancer (Labellisation 14-18)

  • Franck Toledo

Groupement des Entreprises Françaises dans la lutte contre le Cancer (Projet Métastases)

  • Franck Toledo

European Research Council

https://doi.org/10.3030/875532
  • Antonin Morillon

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

This project was supported by grants attributed to FT, from the Ligue Nationale Contre le Cancer, the Fondation ARC pour la recherche sur le Cancer and the Gefluc. SJ, EE, and JR were PhD fellows of the Ministère de la Recherche, supervised by FT (SJ, JR) or BB (EE). SJ and EE received additional support from the Fondation ARC. MG was paid by European Research Council 875532-Prostator-ERC-2019-PoC attributed to AM. For some experiments, SJ and VV received technical assistance from C Bouyer and R Bourimi. We thank the following members of the Institut Curie platforms: I Grandjean, H Gautier, C Daviaud, M Garcia, D Andreau, M Verlhac, and A Fosse (animal facility); S Baulande and S Lameiras (NGS); M Huerre, A Nicolas, and R Leclere (histopathology); Z Maciorowski, A Viguier, and S Grondin (flow cytometry).

Ethics

For all experiments, mice housing and treatment were conducted according to the Institutional Animal Care and Use Committee of the Institut Curie (approved project #03769.02).

Version history

  1. Sent for peer review:
  2. Preprint posted:
  3. Reviewed Preprint version 1:
  4. Reviewed Preprint version 2:
  5. Version of Record published:

Cite all versions

You can cite all versions using the DOI https://doi.org/10.7554/eLife.102434. This DOI represents all versions, and will always resolve to the latest one.

Copyright

© 2024, Jaber, Eldawra, Rakotopare et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 351
    views
  • 16
    downloads
  • 0
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Sara Jaber
  2. Eliana Eldawra
  3. Jeanne Rakotopare
  4. Iva Simeonova
  5. Vincent Lejour
  6. Marc Gabriel
  7. Tatiana Cañeque
  8. Vitalina Volochtchouk
  9. Monika Licaj
  10. Anne Fajac
  11. Raphaël Rodriguez
  12. Antonin Morillon
  13. Boris Bardot
  14. Franck Toledo
(2025)
Oncogenic and teratogenic effects of Trp53Y217C, an inflammation-prone mouse model of the human hotspot mutant TP53Y220C
eLife 13:RP102434.
https://doi.org/10.7554/eLife.102434.3

Share this article

https://doi.org/10.7554/eLife.102434

Further reading

    1. Cancer Biology
    Huan Fang, Huichun Liang ... Ceshi Chen
    Research Article

    In the clinic, anti-tumor angiogenesis is commonly employed for treating recurrent, metastatic, drug-resistant triple-negative, and advanced breast cancer. Our previous research revealed that the deubiquitinase STAMBPL1 enhances the stability of MKP-1, thereby promoting cisplatin resistance in breast cancer. In this study, we discovered that STAMBPL1 could upregulate the expression of the hypoxia-inducible factor HIF1α in breast cancer cells. Therefore, we investigated whether STAMBPL1 promotes tumor angiogenesis. We demonstrated that STAMBPL1 increased HIF1A transcription in a non-enzymatic manner, thereby activating the HIF1α/VEGFA signaling pathway to facilitate triple-negative breast cancer angiogenesis. Through RNA-seq analysis, we identified the transcription factor GRHL3 as a downstream target of STAMBPL1 that is responsible for mediating HIF1A transcription. Furthermore, we discovered that STAMBPL1 regulates GRHL3 transcription by interacting with the transcription factor FOXO1. These findings shed light on the role and mechanism of STAMBPL1 in the pathogenesis of breast cancer, offering novel targets and avenues for the treatment of triple-negative and advanced breast cancer.

    1. Cancer Biology
    2. Physics of Living Systems
    Joseph Ackermann, Chiara Bernard ... Martine D Ben Amar
    Research Article

    The tumor stroma consists mainly of extracellular matrix, fibroblasts, immune cells, and vasculature. Its structure and functions are altered during malignancy: tumor cells transform fibroblasts into cancer-associated fibroblasts, which exhibit immunosuppressive activities on which growth and metastasis depend. These include exclusion of immune cells from the tumor nest, cancer progression, and inhibition of T-cell-based immunotherapy. To understand these complex interactions, we measure the density of different cell types in the stroma using immunohistochemistry techniques on tumor samples from lung cancer patients. We incorporate these data into a minimal dynamical system, explore the variety of outcomes, and finally establish a spatio-temporal model that explains the cell distribution. We reproduce that cancer-associated fibroblasts act as a barrier to tumor expansion, but also reduce the efficiency of the immune response. Our conclusion is that the final outcome depends on the parameter values for each patient and leads to either tumor invasion, persistence, or eradication as a result of the interplay between cancer cell growth, T-cell cytotoxicity, and fibroblast activity. However, despite the existence of a wide range of scenarios, distinct trajectories, and patterns allow quantitative predictions that may help in the selection of new therapies and personalized protocols.