Jak2-mediated phosphorylation of Atoh1 is critical for medulloblastoma growth
Abstract
Treatment for medulloblastoma, the most common malignant brain tumor in children, remains limited to surgical resection, radiation, and traditional chemotherapy; with long-term survival as low as 50–60% for Sonic Hedgehog (Shh)-type medulloblastoma. We have shown that the transcription factor Atonal homologue 1 (Atoh1) is required for Shh-type medulloblastoma development in mice. To determine whether reducing either Atoh1 levels or activity in tumors after their development is beneficial, we studied Atoh1 dosage and modifications in Shh-type medulloblastoma. Heterozygosity of Atoh1 reduced tumor occurrence and prolonged survival. We discovered tyrosine 78 of Atoh1 is phosphorylated by a Jak2-mediated pathway only in tumor-initiating cells and in human SHH-type medulloblastoma. Phosphorylation of tyrosine 78 stabilizes Atoh1, increases Atoh1’s transcriptional activity, and is independent of canonical Jak2 signaling. Importantly, inhibition of Jak2 impairs tyrosine 78 phosphorylation and tumor growth in vivo. Taken together, inhibiting Jak2-mediated tyrosine 78 phosphorylation could provide a viable therapy for medulloblastoma.
https://doi.org/10.7554/eLife.31181.001eLife digest
Medulloblastoma is the most common solid brain tumor that develops in children, with more than five hundred new cases diagnosed in the United States every year. There are four broad types of medulloblastoma. One of these is called the “Sonic Hedgehog” subtype, named after the biological pathway that becomes re-activated in these tumors. Only about half of patients with this subtype survive for more than 10 years. Moreover, medulloblastoma treatment combines surgery, chemotherapy and radiation, which can cause severe side effects including psychiatric disorders and cognitive impairment.
Several drugs that treat medulloblastoma by targeting the Sonic Hedgehog pathway are currently being tested in clinical trials. However, these drugs are usually only effective for a limited time before the tumor evades the treatment. Therefore, there is a need to develop new treatment options for medulloblastoma, perhaps by targeting different signaling pathways in the cells.
A protein called Atoh1 is needed for proper brain development in humans, but is not normally present after the first year of life. This protein is, however, re-expressed at high levels in medulloblastoma in mice and humans and is essential for Sonic Hedgehog-type medulloblastoma to form in mice.
Klisch et al. used genetic techniques to reduce the amount of Atoh1 in mice that develop medulloblastoma. This intervention reduced the number of mice that developled tumors and increased their lifespan. Biochemical experiments showed that the tumor stem cells of the mice contain a modified version of Atoh1 where a phosphate molecule is bound to a particular region of the protein. This phosphorylation increased the amount and activity of Atoh1 in the cell, and so caused tumors to grow more quickly in mice. Phosphorylated Atoh1 was also detected in samples taken from human medulloblastoma tumors.
Klisch et al. also found that an enzyme called Jak2 phosphorylates Atoh1. Inhibiting Jak2 reduced the levels of Atoh1 in medulloblastoma cells and slowed tumor growth in mice. Future work could investigate different ways of preventing Atoh1 phosphorylation, with the hope of finding new treatments for Sonic-Hedgehog-type medulloblastomas.
https://doi.org/10.7554/eLife.31181.002Introduction
Medulloblastoma (MB) is the most common malignant primary brain tumor in children (Dhall, 2009) and is thought to originate from rhombic lip-derived precursors that have failed to differentiate into their usual progeny (Hatten and Roussel, 2011). Molecular studies have allowed us to classify MB into four major subtypes: WNT, sonic hedgehog (SHH), Group C, and Group D (Taylor et al., 2012). The cell of origin differs among the subgroups, as does the clinical prognosis (Taylor et al., 2012). SHH-type tumors arise from precursors of the cerebellar granule neurons and can contain mutations in Smoothened, Patched, or other genes in this pathway (Rimkus et al., 2016). Elevated expression of Atoh1, the basic helix-loop-helix transcription factor that is crucial for the development of the cerebellar granule neurons (Ben-Arie et al., 1996), can also drive uncontrolled cell proliferation and formation of medulloblastoma (Flora et al., 2009). In addition to attempting to inhibit SHH signaling—a strategy that can be foiled by the development of secondary mutations (Yauch et al., 2009)—we hypothesized that controlling the levels of Atoh1 protein will provide another therapeutic entry point for the treatment SHH-driven medulloblastoma.
Results and discussion
To determine the influence of Atoh1 gene dosage on MB development and prognosis, we examined the rate of tumor formation in a mouse model of Shh-dependent MB, the Nd2::SmoA1Tg line (Hatton et al., 2008). These mice have a constitutively active Shh pathway in all cerebellar granule cells and spontaneously develop MBs (Hatton et al., 2008). Whereas almost a quarter (23.1%) of Nd2::SmoA1Tg mice developed MB and succumbed to the disease within 300 days of life, fewer than one in ten (6.7%) Nd2::SmoA1Tg mice – heterozygous for Atoh1 (Atoh1+/-, Nd2::SmoA1Tg) – developed signs of disease (Figure 1a, Figure 1—source data 1 for all statistical analysis). Atoh1 heterozygosity dropped the overall tumor incidence by over three-fold and never reached that of Nd2::SmoA1Tg, Atoh1 wildtype mice. Importantly, while both groups expressed the tumorigenic transgene (Nd2::SmoA1) at similar levels (Figure 1—figure supplement 1a), levels of Gli2, the primary Shh mediator in medulloblastoma and direct target of Atoh1 (Read et al., 2009; Klisch et al., 2011) were reduced in the Atoh1 heterozygous mice. Hence, a 50% reduction in Atoh1 protein level has a direct, positive, effect on survival in this medulloblastoma mouse model. This suggests that Atoh1 protein dosage is critical for the development of medulloblastoma in mice.
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Figure 1—source data 1
- https://doi.org/10.7554/eLife.31181.005
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Figure 1—source data 2
- https://doi.org/10.7554/eLife.31181.006
The regulation of Atoh1 expression during the development of the cerebellum is highly complex, involving not only Shh signaling but also other signaling pathways required for proper development, such as BMP and WNT signaling (Butts et al., 2014). While this regulation is transcriptional in nature, another layer of regulation has been reported to influence Atoh1 protein levels: phosphorylation (Forget et al., 2014). Hence, we asked whether Atoh1 was aberrantly phosphorylated in the tumors. Using tumors isolated from Nd2::SmoA1Tg mice, we performed IP-MS on tumor-initiating cells that express Atoh1 [marked by cell surface protein CD15 (Read et al., 2009)] and CD15-negative cells (Figure 1—figure supplement 1b). We tested the integrity of both cell populations by flank injections of sorted cells in immunosuppressed mice and found that Atoh1 expression in the tumor-initiating cells is required to drive secondary tumor formation (Figure 1—figure supplement 1b). Using Atoh1 IP-MS, we discovered that tyrosine 78 (Y78, Figure 1—source data 2) on Atoh1 is phosphorylated exclusively in tumor-initiating cells. We confirmed phosphorylation of this Atoh1 residue in MB tissue using a phospho-specific antibody (p-Atoh1-Y78, Figure 1b). We further confirmed these findings in tumorigenic and control tissues from mice and found that Atoh1 Y78 phosphorylation is specific to the tumor-initiating cells (Figure 1c). Y78 immuno-reactivity was observed mostly in the initiating cell islets of the tumor; neither the Y78-specific phospho-antibody, nor an antibody against CD15, reacted in the normal tissue, even in the presence of strong Atoh1 expression in the external granule layer (Figure 1c).
Because Atoh1 is not endogenously expressed in neuronal cell lines, and reliable primary cultures of human SHH-type medulloblastoma cells are not established, we turned to modify and study medulloblastoma cell lines that have been used in the past. We engineered cell lines expressing either doxycycline-inducible wildtype (Y78), phospho-dead (Y78F) or phospho-mimetic (Y78D) Atoh1, using three different human-derived MB parental cell lines: DAOY (marked in blue), UW228 (orange) and ONS-76 (purple) (Zanini et al., 2013). While these cell lines have been used extensively, it has been recently suggested that at least the DAOY cell line is more ‘Shh-like’ than the others (Higdon et al., 2017). We found that Y78 phosphorylation status did not alter the interaction of Atoh1 with its E-protein binding partner or its nuclear-cytoplasmic localization (Figure 2—figure supplement 1a–b). However, upon doxycycline withdrawal, Y78 phosphorylation dramatically increased Atoh1 protein stability in all three parental lines (Figure 2a, Figure 2—figure supplement 1c–d). Protein half-life of phospho-mimetic Atoh1 was triple that of wildtype Atoh1 (Figure 2—source data 1), while the RNA stability of the transgenes was comparable (Figure 2—figure supplement 1e).
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Figure 2—source data 1
- https://doi.org/10.7554/eLife.31181.010
To test the transcriptional activity of the Atoh1 variants we used an Atoh1-specific luciferase reporter system (Klisch et al., 2011). Overexpression of phospho-mimetic Atoh1 (Y78D), but not the phospho-mutant (Y78F), increased Atoh1 transcriptional activity (Figure 2b, Figure 2—figure supplement 2b–c). In a proliferation assay using all three parental cell lines, we found that the enhanced activity of Atoh1 Y78D resulted in hyper-proliferation, whereas the phospho-dead Atoh1 resulted in a slight decrease in cell proliferation (Figure 2—figure supplement 2d–f). While the increase in transcriptional activity could be due to the increased half-life, the steady-state levels of the three Atoh1 mutants were similar in the luciferase lysates (Figure 2—figure supplement 2a). These data argue for two distinct effects of tyrosine 78 phosphorylation: increased Atoh1 stability as well as increased Atoh1 transcriptional activity.
To test whether this phosphorylation drives tumor growth in vivo, we injected DAOY cells [known to form secondary tumors (Jacobsen et al., 1985)] stably expressing doxycycline-inducible Atoh1-GFP WT, Atoh1-GFP Y78F, or Atoh1-GFP Y78D in flank xenografts. While these flank xenograft models lack the fully functional immune system, they provide a useful model for longitudinal tumor growth monitoring with minimal burden to the animal. The mice were fed doxycycline chow continuously to express the transgenes. Expression of wildtype or phospho-dead Atoh1 (Y78F) led to a similar average tumor weight, but overexpression of phospho-mimetic Atoh1 (Y78D) increased tumor weight by roughly 40% (Figure 2c). These data suggest that tyrosine 78 phosphorylation increases Atoh1 transcriptional activity, which in turn increases cellular proliferation in vitro as well as in vivo.
To identify the tyrosine kinase responsible for the aberrant phosphorylation of Atoh1 in the malignant cells, we revisited our IP-MS data. We recovered 637 Atoh1-interacting proteins from CD15-positive cells and 278 interactors from CD15-negative cells (Figure 1—source data 2). As would be expected, E-proteins were the strongest interactors present in all pull down assays, but interestingly only one tyrosine kinase, Janus kinase 2 (Jak2), was present exclusively in tumor-initiating cells. The Jak2 paralog Jak1 was present in the non-initiating cell population (Figure 1—source data 2). The Janus kinases typically function in the cytoplasm, downstream of cytokine signaling, and activate canonical cascades such as signal transducer and activator of transcription (STAT), mitogen activated protein kinase (MAPK), and/or the phosphotidylinositol 3-kinase (PI3K)–Akt pathways (Levine et al., 2007). Although one of the most common gain-of-function mutations in Jak2 (Jak2V617F) is associated with increased proliferation in human myeloproliferative diseases (Levine et al., 2007), Jak2 function in medulloblastoma has not been investigated.
We tested Jak1-3 and Tyrosine Kinase 2 (Tyk2), as well as Protein Tyrosine Kinase 2 (Ptk2) in a bimolecular fluorescence complementation assay (BiFC) for an Atoh1 interaction (Neet and Hunter, 1996). Only Jak2 displayed a strong interaction with Atoh1 as indicated by the shift in GFP signal detected by flow cytometry (Figure 3—figure supplement 1a). We further investigated whether these kinases were able to phosphorylate Y78 using a luciferase-based kinase assay. Once again, only Jak2 was able to phosphorylate wildtype Atoh1 (Y78) in a dose dependent manner in vitro (Figure 3—figure supplement 1b). This phosphorylation was specific to Y78, as the addition of phospho-mutant Atoh1 (Y78F) abolished this effect (Figure 3—figure supplement 1b). Given that both Atoh1 and Jak2 are expressed during cerebellar development and both are highly overexpressed in MB tissue (Figure 3—figure supplement 1c), we tested whether the Jak2-Atoh1 interaction occurs in vivo. We immunoprecipitated Atoh1 or Jak2 and found a strong interaction in malignant but not normal cerebellar tissue (Figure 3a). To determine whether Jak2 is a critical kinase phosphorylating tyrosine 78, we isolated Shh-type MB cells and cultured them in the presence or absence of a strong and highly specific Jak2 inhibitor (AG490) (Kobayashi et al., 2015). One-hour treatment with the inhibitor was sufficient to drastically reduce Jak2 and Atoh1 Y78 phosphorylation (Figure 3b). These findings demonstrate that Jak2 is activated in Shh-type MB, where it interacts with Atoh1 and phosphorylates it on tyrosine 78.
We examined whether Jak2 influences Atoh1 activity through its canonical downstream cascades by using the Atoh1 transcriptional reporter assay. Co-transfection of Atoh1 and Jak2 dramatically increased Atoh1 activity in all three MB lines (Figure 3c, Figure 3—figure supplement 1d–e). Inhibiting Jak2 with AG490 abolished this, but blocking STAT, PI3K or MAPK signaling in this assay had no effect (Figure 3c, Figure 3—figure supplement 1d–e), arguing that Jak2 influences Atoh1 directly. Prior studies have argued for non-canonical roles of Jak2, e.g. Jak2 phosphorylates tyrosine 41 on histone H3 (Dawson et al., 2009). Moreover, most of the genes regulated by Jak2 do not contain the predicted STAT DNA-binding motifs (Ghoreschi et al., 2009) suggesting the existence of unidentified transcriptional mediators. Overexpression of Jak2 pheno-copied the transcriptional gain-of-function phenotype of Atoh1 Y78D, increased the stability of wildtype Atoh1 (Y78) to Y78D levels (Figure 3—figure supplement 2, Figure 2—source data 1) and increased cellular proliferation in vitro, which was blocked by phospho-mutant Atoh1 (Y78F) and the addition of AG490 (Figure 3—figure supplement 3).
Having identified Jak2 as a critical kinase phosphorylating tyrosine 78, we asked if inhibition of Jak2 might be a viable strategy to decrease Atoh1 levels in vivo. We isolated Shh-type medulloblastoma cells, infected them with lentiviral particles harboring Jak2 shRNAs tagged with RFP, and grafted these into mice. Control shRNA-infected tumors grew rapidly, but both Jak2 shRNA-infected tumors showed dramatically reduced tumor growth (Figure 4a), in accordance with their potency to inhibit Jak2 (Figure 4b). The decrease in Jak2 resulted in a concomitant decrease in Y78 phosphorylation (Figure 4b). Moreover, Jak1, a close relative of Jak2, did not compensate for the inhibition of Jak2 as it was expressed at similar levels in control and Jak2 inhibited tumors (Figure 4b). Sections from control shRNA-infected tumors revealed large areas of infected cells (Figure 4c left panel, red) that expressed Atoh1 and had pockets of tumor-initiating cells (CD15-positive, yellow) that co-localized with phosphorylated Y78 (blue). In contrast, tumors infected with the most potent Jak2 shRNA revealed scattered initiating cell clusters, none of which contained Y78 phosphorylated Atoh1 (Figure 4c, right panel).
Taken together, here we demonstrate that Atoh1, a protein not expressed in the post-natal normal brain, is expressed specifically in SHH-type medulloblastoma malignancies (Figure 4d), and that tyrosine 78 phosphorylation by Jak2 increases Atoh1 activity and stability, thus augmenting the proliferation of tumor-initiating cells in MB. Our results suggest that targeting Atoh1 by inhibiting its phosphorylation on tyrosine 78 presents a viable avenue for targeting MB cells without impinging on healthy brain tissue. Moreover, tyrosine 78 of Atoh1 can be detected in protein lysates of human samples of SHH-type medulloblastoma (Figure 4e), further supporting the clinical relevance of these findings.
Materials and methods
Previously described protocols
Request a detailed protocolAll described assays as well as standard molecular biology techniques (RNA extraction, qRT-PCR, general cell culture, cell lysis, co-immunoprecipitation (co-IP), nuclear-cytoplasmic fractionation and immunoblotting) can be requested in step-by-step, ‘protocol-style’ format. Plasmids used in this study are available upon request (see Key Resource table). The following assays were described elsewhere: virus production and stable cell line engineering (Rousseaux et al., 2016), Atoh1-specific dual luciferase reporter assay (Klisch et al., 2011), immunofluorescence staining (Flora et al., 2009), BiFC (Pusch et al., 2011), ADP glow in vitro kinase assay (Ohana et al., 2011).
Mouse models
Request a detailed protocolGeneration of mouse strains and genotyping procedures were previously described: Atoh1 lacZ (Ben-Arie et al., 2000) (B6.129S7-Atoh1tm2Hzo/J, RRID:IMSR_JAX:005970), Atoh1-GFP (Rose et al., 2009) (B6.129S-Atoh1tm4.1Hzo/J, RRID:IMSR_JAX:013593), Nd2::SmoA1 (Hatton et al., 2008) (C57BL/6-Tg(Neurod2-Smo*A1)199Jols/J, RRID:IMSR_JAX:008831) and NOD/SCID (Shultz et al., 1995) (NOD.CB17-Prkdcscid/J, RRID:IMSR_JAX:001303) recipient. All mice in this study were Nd2::SmoA1 C57/Bl6 on either Atoh1-GFP homozygous (Nd2::SmoA1Tg Atoh1Atoh1-GFP/Atoh1-GFP, 100% Atoh1 protein) or Atoh1 heterozygous (Nd2::SmoA1Tg Atoh1Atoh1-GFP/LacZ, 50% Atoh1 protein) background. All procedures were approved in advance under the guidelines of the Center for Comparative Medicine, Baylor College of Medicine and were performed in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals. Both male and female mice were used. Mice were group-housed in temperature-controlled rooms on a 14–10 hr light–dark cycle, at constant temperature (22–24°C) and received food and water ad libitum. Mice of both sexes were randomly assigned to different treatment groups.
Human subjects
Request a detailed protocolAll patients provided written informed consent and tissues were collected under an IRB approved protocol at Baylor College of Medicine (BCM).
Antibodies
Western blot (overnight incubation with a 1:5000 dilution): anti-p-Atoh1-Y78 (generated by GeneScript, Piscataway, NJ upon our request), anti-GFP (GeneTex, Irvine, CA Cat# GTX26556 RRID:AB_371421), anti-Jak2 (Cell Signaling Technology, Danvers, MA Cat# 3230, RRID:AB_2128522), anti-p-Jak2 (Tyr1007/1008, Cell Signaling Technology Cat# 3771S, RRID:AB_330403), anti-Vinculin (1:20,000, Sigma-Aldrich, St. Louis, MO Cat# V9131 RRID:AB_477629), anti-beta Actin-HRP (1:40,000, Abcam, Cambridge, MA Cat# ab20272 RRID:AB_445482), anti-Rabbit-HRP (1:20,000, Bio-Rad/AbD Serotec, Hercules, CA Cat# 170–5046 RRID:AB_11125757), anti-FLAG M2-HRP (1:10,000, Sigma-Aldrich Cat# A8592 RRID:AB_439702), anti-Mouse-HRP (1:50:000, Jackson ImmunoResearch Labs, West Grove, PA Cat# 715-035-150 RRID:AB_2340770); Immunofluorescence: anti-p-Atoh1-Y78 (1:50), anti-GFP (1:200, Abcam Cat# ab13970 RRID:AB_300798), anti-RFP (1:100, RF5R, Abcam Cat# ab125244 RRID:AB_10973556), anti-CD15-PE (1:50, BD Biosciences, San Jose, CA Cat# 347420 RRID:AB_400298), anti-chicken IgY-Alexa647 (1:100, Thermo Fisher Scientific, Waltham, MA Cat# A-21449 RRID:AB_2535866), anti-Mouse IgG2b-DyLight405 (1:100, Jackson ImmunoResearch Labs Cat# 115-475-207 RRID:AB_2338801), anti-Rabbit IgG-Alexa647 (1:100, Jackson ImmunoResearch Labs Cat# 711-606-152 RRID:AB_2340625); FACS labeling: endogenous GFP signal from Atoh1-GFP KI mice, anti-CD15-Dylight649 (1:50, Novus, Novus Biologicals, Littleton, CO Cat# NB100-2672C RRID:AB_1724222); Co-IP: anti-GFP (2 µg per IP, [N86/8], UC Davis/NIH NeuroMab Facility Cat# 75–131 RRID:AB_10671445), anti-Jak2 (5 µg per IP, Cell Signaling Technology Cat# 3230 RRID:AB_2128522).
Cell culture
Request a detailed protocolThe following cell lines were purchased from ATCC (Manassas, VA): DAOY (ATCC Cat# HTB-186, RRID:CVCL_1167), 293T (ATCC Cat# CRL-3216, RRID:CVCL_0063). UW228 (RRID:CVCL_4460) (Huang et al., 2005) and ONS-76 (Japanese Collection of Research Bioresources Cell Bank, Japan Cat# IFO50355, RRID:CVCL_1624) (Sun et al., 2013) were kindly provided by Dr. Charles G. Eberhart (John Hopkins University, Baltimora, MD). All cell lines were verified using visual inspection and comparison to previously published studies. Cells were found to be negative for mycoplasma contamination. Lines were cultured as adherent cells in DMEM containing 10% FBS and antibiotics using standard cell culture practices (Geraghty et al., 2014). For proliferation analysis cells were cultured as medullospheres (Zanini et al., 2013) for 3 days prior to Atoh1 induction by addition of doxycycline [CAS: 24390-14-5, 0.2 µM] for 24 hr. Short-term culture of Shh-type MB cells was identical to cerebellar granule cell culture as described previously (Gao et al., 1991). Inhibition of Jak2 canonical downstream cascades was as described using SH-4–54 [CAS: 1456632-40-8, 0.5 µM, STAT (Haftchenary et al., 2013)], LY294002 [CAS: 154447-36-6, 50 μM, PI3K (Maira et al., 2009)], PD184352 [CAS: 212631-79-3, 1 µM, MAPK (Sebolt-Leopold et al., 1999)], or AG490 [CAS: 133550-30-8, 5 μM, Jak2 (Kobayashi et al., 2015)]. All chemicals were purchased from Selleckchem, Houston, TX.
Immunoprecipitation-Mass spectrometry (IP-MS)
Request a detailed protocolA total of 108 cells from Atoh1-positive/CD15-positive and Atoh1-positive/CD15-negative cell populations of Nd2::SmoA1Tg, Atoh1Atoh1-GFP/Atoh1-GFP tumors were used for immunoprecipitation. Cells were collected and lysed in lysis buffer (50 mM Tris, pH 8.1, 137.5 mM NaCl, 2 mM EDTA, 0.5% Triton-X-100, supplemented with fresh protease inhibitors and phosphatase inhibitors), homogenized using 1 ml insulin syringes. GFP-trap beads (20 µl per IP, ChromoTek, Germany) were added to cleared supernatant and immunoprecipitation reactions were performed overnight at 4°C with gentle head-to-tail rotation. After three washes, immune-complexes were eluted with glycine, vacuum dried and dissolved in 50 mM ammonium bicarbonate, pH = 10 for MS. MS was performed by Proteomics and Metabolomics Core Labs at BCM using standard protocols (Jung et al., 2017). We considered a true positive interactor as being able to be pulled down at least in two independent experiments with at least five unique peptides.
In vitro proliferation assay
Request a detailed protocolCell proliferation assay was performed on medullospheres of engineered cell lines using CellTiter 96 Non-Radioactive Cell Proliferation Assay (Promega, Madison, WI) as per manufacturer’s protocols.
In vivo tumor growth assay
Request a detailed protocolXenografts were generated in immunocompromised mice (NOD/SCID) previously described (Morton and Houghton, 2007). Cells used were (i) Nd2::SmoA1Tg, Atoh1Atoh1-GFP/Atoh1-GFP tumors FACS sorted for Atoh1-positive/CD15-positive, Atoh1-positive/CD15 negative and Atoh1-negative cells (Figure 1—figure supplement 1b); (ii) the human medulloblastoma cell lines DAOY (Atoh1-GFPTG, Atoh1-GFP Y78FTG, Atoh1-GFP Y78DTG, Figure 2c); or (iii) Nd2::SmoA1Tg, Atoh1Atoh1-GFP/Atoh1-GFP tumors infected with shCON, shJak2#58, shJak2#61 viral particles (Figure 4). Briefly, 105 cells were mixed in 100 μl cold matrigel (BD Bioscience, San Jose, CA) and injected subcutaneously into the flank region of nude mice (n = 6 per group). Xenografts were left to grow for up to 1 months then harvested and weighed. When the inducible cell lines were used mice were fed doxycycline chow (200 mg/kg, Bio-Serv,) ad libitum throughout the experiment.
Mathematics and statistical analyses
Request a detailed protocolStatistics were performed using Prism 7.0 (GraphPad Software, La Jolla, CA). Half-life was calculated based on normalized densitometric values obtained by ImageJ and solved for x when y = 0.5 for the following formula: y = a(e−bx) as previously described (Rousseaux et al., 2016). Animal feedings, treatments and immunofluorescence analyses were performed in a single-blinded fashion. No blinding was used for the remaining analyses. The group size was determined based on previous studies in our laboratories. No animal was excluded. No data points were excluded from the statistical analyses, and variance was similar between the groups being statistically compared. For complete statistical analyses, please refer to Figure 1—source data 1. All data presented are of mean ± standard error of the mean (s.e.m.) *, **, *** and **** denote p<0.05, p<0.01, p<0.001, and p<0.0001, respectively. ns denotes p>0.05.
Data availability
Request a detailed protocolThe data sets supporting the conclusions of this article are included within the article and its additional files. Plasmids are available upon reasonable request.
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Article and author information
Author details
Funding
Cancer Prevention and Research Institute of Texas (RP110390)
- Tiemo J Klisch
Congress of Neurological Surgeons (Christopher Getch Fellowship)
- Akash J Patel
Howard Hughes Medical Institute
- Huda Y Zoghbi
Mary Alice Smith Charitable Foundation
- Huda Y Zoghbi
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
Financial support for this work was provided by the Cancer Prevention and Research Institute of Texas (CPRIT, RP110390) (TJK), the Christopher Getch Fellowship from the Congress of Neurological Surgeons (AJP), the Mary Alice Smith Charitable Foundation (HYZ), and the Howard Hughes Medical Institute (HYZ). The project was supported in part by IDDRC grant number 1U54 HD083092 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development; The Neurovisualization Core (D3 – Microscopy Core). We would like to thank Dr. Charles G Eberhart for providing UW228 and ONS-76 cell lines; Blake Simmons and Rusla du Breuil from transOMIC technologies for their collaboration on RFP-tagged shRNA vectors; Vicky Brandt and members of the Klisch, Zoghbi and Patel laboratories for valuable insight and comments on the manuscript; Stephan Hardin and Yi Huang for excellent mouse husbandry work.
Ethics
Human subjects: All patients provided written informed consent and tissues were collected under an IRB approved protocol at Baylor College of Medicine (BCM). Protocol number H-35355.
Animal experimentation: All procedures were approved in advance under the guidelines of the Center for Comparative Medicine, Baylor College of Medicine and were performed in accordance with the National Institutes of Health Guide for the Care and Use of Laboratory Animals. Protocol number AN-5693.
Copyright
© 2017, Klisch 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.
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- Cancer Biology
Clonal hematopoiesis of indeterminate potential (CHIP) allows estimation of clonal dynamics and documentation of somatic mutations in the hematopoietic system. Recent studies utilizing large cohorts of the general population and patients have revealed significant associations of CHIP burden with age and disease status, including in cancer and chronic diseases. An increasing number of cancer patients are treated with immune checkpoint inhibitors (ICIs), but the association of ICI response in non-small cell lung cancer (NSCLC) patients with CHIP burden remains to be determined. We collected blood samples from 100 metastatic NSCLC patients before and after ICI for high-depth sequencing of the CHIP panel and 63 samples for blood single-cell RNA sequencing. Whole exome sequencing was performed in an independent replication cohort of 180 patients. The impact of CHIP status on the immunotherapy response was not significant. However, metastatic lung cancer patients showed higher CHIP prevalence (44/100 for patients vs. 5/42 for controls; p = 0.01). In addition, lung squamous cell carcinoma (LUSC) patients showed increased burden of larger clones compared to lung adenocarcinoma (LUAD) patients (8/43 for LUSC vs. 2/50 for LUAD; p = 0.04). Furthermore, single-cell RNA-seq analysis of the matched patients showed significant enrichment of inflammatory pathways mediated by NF-κB in myeloid clusters of the severe CHIP group. Our findings suggest minimal involvement of CHIP mutation and clonal dynamics during immunotherapy but a possible role of CHIP as an indicator of immunologic response in NSCLC patients.