Prognostic significance of regional lymph nodes status in stage IV colorectal cancer.
Bibliographic record
Abstract
721 Background: Lymph node involvement is one of the most important prognostic variables in early stage CRC and an indication for adjuvant therapy. However, the prognostic significance of regional nodal metastases and the ratio of metastatic to examined lymph nodes (LNR), in stage IV CRC remain unknown. The current study aims to determine prognostic importance of nodal status and LNR in patients with stage IV CRC who undergo primary tumor resection (PTR). Methods: Retrospective cohort study involving patients with synchronous metastatic CRC diagnosed in Saskatchewan, during 1992-2010 and underwent PTR. Cox Proportional multivariate analyses were performed to determine prognostic significance of nodal status and LNR. Results: 2,294 patients were diagnosed with synchronous metastatic CRC during the study period. Of those 1257 underwent PTR, 148 patients did not have information about nodal status and were excluded. Median age of 1109 eligible patients was 70 yrs (22-98) and M:F was 1.2:1. 26% patients had rectal cancer, 96% had T3/T4 tumor, and 82% had node positive disease. The median LNR was 0.36 (0-1.0). 54% received chemotherapy. Median overall survival of patients who had LNR of ≥ 0.36 and received chemotherapy was 29.7 months (95% CI: 26.6-32.9) compared with 15.6 months (13.6-17.6) with LNR of < 0.36 [p < 0.001]. On multivariate analyses, among prognostic variables use of any chemotherapy, HR: 2.36 (2.0-2.79); metastasectomy, HR: 1.95 (1.63-2.32); nodal status, HR 1.34 (1.14-1.59); LNR ≥0.36, HR: 1.59 (1.38-1.84); and T status, 1.23 (1.07-1.40) were correlated with survival. Test for interaction was positive for LNR and high grade cancer, HR: 1.17 (1.031-1.33). In a sub-cohort of patients who underwent metastasectomy both LNR using a cut-off of 0.36 and nodal status, independent of chemotherapy and other prognostic variables were correlated with survival, HR of 2.38 (95%: 1.64-3.47) for LNR ≥ 36 and 1.57 (95% CI: 1.05-2.34) for node positive disease. Conclusions: Our results suggest that regional nodal status and LNR are important prognostic factor independent of chemotherapy in stage IV CRC patients undergoing PTR. Future studies are required to elucidate the mechanism by which nodal status affect survival in stage IV CRC.
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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 | 0.001 |
| 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) | 0.002 | 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".