Abstract A078: Differential functions of splicing factors in breast cancer initiation and metastasis
Bibliographic record
Abstract
Abstract Cancer cells display aberrant alternative splicing profiles, leading to the production of isoforms that can increase cell proliferation and migration, resistance to apoptosis, or alter cell metabolism. Recently, recurrent somatic mutations in components of the splicing machinery have been identified in human tumors, raising a new interest in the field and suggesting that alterations in splicing factors are a new hallmark of cancer. Splicing factors elicit changes in splicing in a concentration-dependent manner. Thus, changes in the expression of these proteins, as reported in different types of cancers, can affect the splicing of multiple genes and are likely involved in splicing deregulation in cancer, even in the absence of mutations. Changes in the expression of splicing factors have been reported in various types of cancers, including breast. We demonstrated previously that the splicing factor SRSF1 is upregulated in human breast cancers and can transform mammary epithelial cells in vivo and in vitro. SRSF1 is a prototypical member of the SR protein family, composed of 12 members sharing structural similarities. However, little is known about differences and redundancies in their splicing targets and thus in their specific biological functions. We are now investigating whether additional splicing factors also promote mammary epithelial cell transformation by using models that mimic the correct biological context in which tumors arise. We first identified splicing factors overexpressed at the transcript and protein levels in a large collection of human breast tumors and cancer cell lines. We then compared the ability of 10 selected splicing factors to transform human mammary epithelial MCF-10A cells grown in organotypic 3-D culture. These cells undergo a 16-day differentiation program, forming growth-arrested, hollow acinar structures with polarized architecture, similar to the terminal units of mammary ducts. Various breast cancer oncogenes are known to disrupt acinar growth and/or architecture. We assessed how splicing-factor overexpression affects differentially cell proliferation and apoptosis, as well as cell migration and invasion. Interestingly, only certain splicing factors are oncogenic in this context, suggesting functional differences. Furthermore, specific splicing factors increase cell migration and invasion, without promoting transformation. We are now characterizing the splicing targets relevant for specific splicing-factor-mediated transformation by next-generation RNA-sequencing. Furthermore, we are investigating which splicing factors are necessary or sufficient to promote metastatic properties of human breast cancer cell lines in vitro and in vivo. Finally, we have identified splicing factors that cooperate specifically with the MYC oncogene and are co-expressed with MYC in human breast tumors. In conclusion, by identifying oncogenic splicing factors, their targets and their regulators, we hope to establish novel targets for targeted cancer therapies. Citation Format: Olga Anczukow, Kuan-Ting Lin, Shipra Das, Jie Wu, Martin Akerman, Senthil K. Muthuswamy, Adrian R. Krainer. Differential functions of splicing factors in breast cancer initiation and metastasis. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr A078.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".