Frequency and Clinical Impact of KRAS Mutations in Patients with Colorectal Cancer from the Middle East
Bibliographic record
Abstract
Background: Colorectal cancer (CRC) is a significant healthcare burden worldwide and in the Middle East (ME). KRAS mutation confers resistance to epidermal growth factor receptor (EGFR) inhibitors in the treatment of advanced CRC. Data regarding the rate of KRAS mutation from the ME are scattered and scarce. We aim to collect and review all sizable studies evaluating the frequency of KRAS mutations in CRC patients from the ME. Method: A Pubmed and Google Scholar search was conducted using keywords including KRAS, K-ras, colorectal cancer and Middle East, along with names of each ME country. Studies including over 90 patients were included in the review. Result: Eleven studies containing more than 90 patients were identified. Among all eleven studies, KRAS mutation rate ranged from 13 to 56%. Five studies reported KRAS mutation rate in M1 stage either exclusively or as part of subgroup analysis. In these studies, mutations were found in 8-45% of cases. KRAS mutations were associated with female gender, M1 stage and high CEA in 3, 2, and 1 studies respectively. Conclusion: There is a broad range of variability in KRAS mutation rate reported in different studies from the ME. This may have been due to small number of patients in the studies and lack of centralized testing for KRAS mutations. Larger and more coordinated studies from the ME population are required to ascertain the accuracy of KRAS mutation rate.
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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".