Increased Cancer Predisposition in Family Members of Colorectal Cancer Patients Harboring the p.V600E <i>BRAF</i> Mutation: a Population-Based Study
Bibliographic record
Abstract
BACKGROUND: The serrated pathway represents a distinct molecular pathway of colorectal carcinogenesis and is associated with the p.V600E BRAF mutation. The objective of this study is to characterize the cancer family history and clinicopathologic features of colorectal cancer (CRC) patients according to the microsatellite instability (MSI) and BRAF mutation status of their tumors. METHODS: The tumors from 558 population-based CRC patients underwent pathologic examination and molecular analysis for MSI, BRAF, and germline mutations in mismatch repair genes MUTYH and APC. The cancer history in first-degree relatives (FDR) of index patients was ascertained. RESULTS: The risk of CRC in FDRs of index patients with MSI-H BRAF mutation [hazard ratio (HR) = 2.49; 95% confidence interval (95% CI), 1.57- 3.93] and microsatellite-stable BRAF mutation tumors (HR = 1.64; 95% CI, 1.01-2.66) was significantly elevated compared with FDRs of index patients with microsatellite-stable BRAF wild-type tumors. The incidence of nonmelanoma skin cancer was also significantly elevated in FDRs of patients with BRAF mutation CRC (HR = 2.52; 95% CI, 1.31-4.86). Furthermore, BRAF mutation CRC was associated with a distinct clinical, molecular, and pathologic phenotype. CONCLUSIONS: The increased incidence of cancer in FDRs of index CRC patients with the p.V600E BRAF mutation may be explained by a genetic predisposition to develop cancer through the serrated pathway of colorectal carcinogenesis. IMPACT: Family members of BRAF CRC patients have an increased predisposition to develop cancer. Future work should aim to identify the causative genetic factors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".