Abstract 2947: Surveying the tumor suppressive genetic network underlying chr4p deletion in TNBC
Bibliographic record
Abstract
Abstract Triple negative breast cancer (TNBC) is a breast cancer subtype lacking targetable biomarkers, resulting in the worst prognosis compared to other breast cancer subtypes. TNBC is characterized by many large copy number variants that result in the deletion and amplifications of many genes, with TP53 being the only common oncogenic driver. Using TCGA data and in-depth functional genomic analysis of TNBC patient-derived xenografts (PDX), our group showed that chr4p is a recurrently deleted region in basal breast cancer, which TNBC is an enriched subtype. This correlated with poor prognosis and a highly proliferative state. Here, we set out to survey the tumor suppressive genetic network underlying the TNBC-specific chr4pdeletion. Using an arrayed CRISPR-enCas12 screening approach, I will generate a panel of mutant cell lines deleted for all protein-coding genes residing within chr4p. MCF10A series of cell lines will be used for mutant cell line construction, because it is an established normal human breast epithelial model system with a normal karyotype to ensure the diploid state ofchr4p and includes other derivatives (MCF10A(-E7-Bcl2)) that show basal anchorage independent growth in 3D to assess cell transformation. The resulting panel of single gene deletion mutant cell lines will be characterized for their effects on proliferation, apoptosis, cell transformation and senescence. Additionally, the tumor suppressive genetic interaction network of chr4p will be mapped using a multiplexed CRISPR-enCas12 screening methodology. A dual guide-RNA library will be generated for all protein-coding genes to test all pairwise combinations for tumor suppressive genetic interactions. The proliferation due to double gene deletions will be monitored and compared to single gene deletions to identify tumor suppressive interactions. This study will be the first to systematically identify tumor suppressor genetic network underlying chr4p. Ultimately, it will provide an in-depth understanding of the genetic network of large copy number variants in TNBC and insight into new avenues for precision oncology. Citation Format: Joseph Del Corpo, Rohan Dandage, Lea Harrington, Elena Kuzmin. Surveying the tumor suppressive genetic network underlying chr4p deletion in TNBC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2947.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".