Sensitivities and Dependencies of BRAF Mutant Colorectal Cancer Cell Lines with or without PIK3CA Mutations for Discovery of Vulnerabilities with Therapeutic Potential
Bibliographic record
Abstract
Background: Colorectal cancer represents a common malignancy and remains incurable in the metastatic stage. Identification of molecular alterations that are present in colorectal cancer has led to the introduction of targeted therapies that improve outcomes. BRAF and PIK3CA mutations are observed in a subset of colorectal cancers. Colorectal cancers bearing BRAF mutations may be treated with specific BRAF inhibitors. These drugs benefit patients with BRAF mutant colorectal cancers but responses are rather brief, and progression is the rule. In contrast, no PI3K inhibitors have proven successful yet in the disease. Thus, new treatments to supplement the currently available drugs would be welcome to further improve survival. Methods: Profiled colorectal cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE) were examined for BRAF and PIK3CA mutations and were interrogated for molecular characteristics and concomitant alterations that mirror clinical sample alterations. The Genomics of Drug Sensitivity in Cancer (GDSC) project was used for determination of drug sensitivities of BRAF mutated colorectal cell lines with or without concomitant PIK3CA mutations. The Cancer Dependency Map project served as the basis for identification of molecular dependencies and vulnerabilities in these cell lines. Results: CCLE includes 84 colorectal cancer cell lines, which recapitulate the molecular landscape of colorectal cancer. Of these, 23 and 24 cell lines possess BRAF and PIK3CA mutations, respectively. Seven BRAF mutant cell lines have V600E mutations and 14 PIK3CA mutant cell lines have hotspot helical or kinase domain mutations. V600E BRAF mutant cell lines with or without hotspot PIK3CA mutations are heterogeneous in their MSI status and mimic colorectal cancer tissues in other prevalent abnormalities including APC and TP53 mutations. Essential genes for survival include CTNNB1, WRN, and pyrimidine metabolism enzyme CAD. Besides BRAF mutations, BRAF inhibitor sensitivity in colorectal cancer cell lines is conferred by SACS mutations and PRKN locus loss. Conclusions: Colorectal cancer cell lines bearing the frequent BRAF and PIK3CA mutations present many alterations of the parental cancer tissue. Described vulnerabilities represent leads for therapeutic exploration in colorectal cancers with the corresponding alterations.
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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) | 0.001 | 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".