Stem Cell Tumors: Cherub versus brat
How healthy cells become tumors is a question that has interested scientists for decades. Many tumors exhibit genomic instability – that is, increased numbers of DNA mutations and chromosomal rearrangements. However, some tumors – including most childhood cancers – have few mutations and are thought to be driven by mechanisms other than genomic instability (Lee et al., 2012).
Important cancer research in flies has been carried out using neural stem cells called neuroblasts. Normally, a type of neuroblast called a Type II neuroblast divides asymmetrically to form a new neuroblast and a slightly more specialized cell type called an intermediate neural progenitor cell (INP); the new neuroblast is able to repeat this process several times. In parallel, the INP continues to divide to produce a new INP and a neuronal precursor cell in each round (Bello et al., 2008; Boone and Doe, 2008; Bowman et al., 2008, Figure 1A). The neuronal precursor then divides to generate mature neurons. When a tumor suppressor gene called brat is blocked, INPs transform back into tumor neuroblasts that divide indefinitely (Lee et al., 2006). So far, the mechanisms involved have remained unclear.
Now, in eLife, Jürgen Knoblich and colleagues at the IMBA in Vienna and the University of Basel – including Lisa Landskron as first author – report that genomic instability is not a driver of neuroblast tumors (Landskron et al., 2018). Landskron et al. compared healthy flies and flies in which the brat gene had been mutated and showed that both groups of flies had the same number of chromosomes. Moreover, they found no additional DNA mutations responsible for tumor development.
However, further analyzes revealed that the tumor cells had increased levels of a previously uncharacterized long non-coding RNA: this is a molecule that is transcribed from DNA but is not usually translated into protein. Landskron et al. found that this specific long non-coding RNA, which they named cherub, was not required for normal development, as mutant flies lacking cherub were healthy and fertile. However, flies with a defect in both the brat gene and the cherub gene had smaller tumors, which suggests that cherub is required for tumor progression.
While other long non-coding RNAs have been implicated in tumor growth, cherub is the first to be discovered that is not uniformly distributed throughout the cell. Rather, cherub is located at the basal end of the neuroblast cell membrane. When healthy neuroblasts divide, cherub is distributed into the INP, which forms on the basal side of the neuroblast, and then diffuses throughout the cell. Thus, with each round of division, cherub levels slowly decrease in the INP (Figure 1A). In brat mutants, however, cherub remains at the cell membrane in both the neuroblast and in the INP. This faulty localization prevents the dilution of cherub and causes the INP to transform back into a tumor neuroblast (Figure 1B).
Why does the incorrect localization of cherub cause tumor growth? In fly neuroblasts, the proteins Imp and Syncrip regulate neuroblast aging (Ren et al., 2017). Normally, these two proteins inhibit each other: Syncrip levels increase as the neuroblasts age, while Imp levels decrease. Both the expression of Syncrip and the absence of Imp are required for neuroblasts to stop dividing (Yang et al., 2017, Figure 1A).
Landskron et al. showed that in flies lacking brat, Syncrip and cherub are inappropriately localized at the tumor neuroblast cell membrane. Moreover, Syncrip and Imp are both expressed. This is presumably because newly-produced Syncrip remains tethered to cherub at the cell membrane, where it is unable to reduce Imp levels (Figure 1B). Thus, the tumors continually produce Imp and do not age. When cherub is not present, Syncrip remains distributed throughout the cell. This reduces the levels of Imp which, in turn, slows the growth of any tumor and improves the life expectancy of brat mutant flies (Figure 1C). How does cherub localize to the cell membrane? The experiments revealed that cherub binds to another protein called Staufen, which attaches to the asymmetric cell division machinery, and thus tethers both cherub and Syncrip to the cell membrane.
This work reinforces the notion that changes to the proteins that regulate asymmetric cell division and cell fate can drive tumor formation. Previous research has shown that Imp levels are also dependent on another protein called Chinmo, and that overexpression of Chinmo causes tumor growth by maintaining inappropriately high Imp levels during the window when Imp is normally expressed (Narbonne-Reveau et al., 2016). Thus, preventing stem cells from maturing and aging appears to fuel tumor development.
This study also highlights the importance of long non-coding RNAs in stem cell development and in tumor formation. While it has been shown that other long non-coding RNAs are involved in stem cell development, this may be one of the first examples where changing the localization of such molecules prevents stem cells from aging, thus driving tumor growth (Guttman et al., 2011). It will be interesting to see whether other long non-coding RNAs use the same mechanisms to drive tumorigenesis.
References
-
Identification of Drosophila type II neuroblast lineages containing transit amplifying ganglion mother cellsDevelopmental Neurobiology 68:1185–1195.https://doi.org/10.1002/dneu.20648
-
A remarkably simple genome underlies highly malignant pediatric rhabdoid cancersJournal of Clinical Investigation 122:2983–2988.https://doi.org/10.1172/JCI64400
Article and author information
Author details
Publication history
Copyright
© 2018, Malin 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
-
- 1,476
- views
-
- 120
- downloads
-
- 1
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
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)
Further reading
-
- Cancer Biology
- Immunology and Inflammation
The current understanding of humoral immune response in cancer patients suggests that tumors may be infiltrated with diffuse B cells of extra-tumoral origin or may develop organized lymphoid structures, where somatic hypermutation and antigen-driven selection occur locally. These processes are believed to be significantly influenced by the tumor microenvironment through secretory factors and biased cell-cell interactions. To explore the manifestation of this influence, we used deep unbiased immunoglobulin profiling and systematically characterized the relationships between B cells in circulation, draining lymph nodes (draining LNs), and tumors in 14 patients with three human cancers. We demonstrated that draining LNs are differentially involved in the interaction with the tumor site, and that significant heterogeneity exists even between different parts of a single lymph node (LN). Next, we confirmed and elaborated upon previous observations regarding intratumoral immunoglobulin heterogeneity. We identified B cell receptor (BCR) clonotypes that were expanded in tumors relative to draining LNs and blood and observed that these tumor-expanded clonotypes were less hypermutated than non-expanded (ubiquitous) clonotypes. Furthermore, we observed a shift in the properties of complementarity-determining region 3 of the BCR heavy chain (CDR-H3) towards less mature and less specific BCR repertoire in tumor-infiltrating B-cells compared to circulating B-cells, which may indicate less stringent control for antibody-producing B cell development in tumor microenvironment (TME). In addition, we found repertoire-level evidence that B-cells may be selected according to their CDR-H3 physicochemical properties before they activate somatic hypermutation (SHM). Altogether, our work outlines a broad picture of the differences in the tumor BCR repertoire relative to non-tumor tissues and points to the unexpected features of the SHM process.
-
- Cancer Biology
- Computational and Systems Biology
Effects from aging in single cells are heterogenous, whereas at the organ- and tissue-levels aging phenotypes tend to appear as stereotypical changes. The mammary epithelium is a bilayer of two major phenotypically and functionally distinct cell lineages: luminal epithelial and myoepithelial cells. Mammary luminal epithelia exhibit substantial stereotypical changes with age that merit attention because these cells are the putative cells-of-origin for breast cancers. We hypothesize that effects from aging that impinge upon maintenance of lineage fidelity increase susceptibility to cancer initiation. We generated and analyzed transcriptomes from primary luminal epithelial and myoepithelial cells from younger <30 (y)ears old and older >55 y women. In addition to age-dependent directional changes in gene expression, we observed increased transcriptional variance with age that contributed to genome-wide loss of lineage fidelity. Age-dependent variant responses were common to both lineages, whereas directional changes were almost exclusively detected in luminal epithelia and involved altered regulation of chromatin and genome organizers such as SATB1. Epithelial expression variance of gap junction protein GJB6 increased with age, and modulation of GJB6 expression in heterochronous co-cultures revealed that it provided a communication conduit from myoepithelial cells that drove directional change in luminal cells. Age-dependent luminal transcriptomes comprised a prominent signal that could be detected in bulk tissue during aging and transition into cancers. A machine learning classifier based on luminal-specific aging distinguished normal from cancer tissue and was highly predictive of breast cancer subtype. We speculate that luminal epithelia are the ultimate site of integration of the variant responses to aging in their surrounding tissue, and that their emergent phenotype both endows cells with the ability to become cancer-cells-of-origin and represents a biosensor that presages cancer susceptibility.