Semaphorin 4D and hypoxia-inducible factor-1α overexpression is related to prognosis in colorectal carcinoma
Bibliographic record
Abstract
AIM: To investigate semaphorin 4D (Sema4D) and hypoxia-inducible factor-1α (HIF-1α) expression in colorectal carcinoma and evaluate their clinicopathological and prognostic significance. METHODS: Eighty-six curatively resected colorectal carcinoma patients at different stages of disease were randomly selected from the group of patients who underwent surgery, and none of them received preoperative radiochemotherapy. Normal proximal adjacent bowel tissue, which served as an internal control, was obtained from 52 randomly selected patients. Immunohistochemistry was performed to analyze the expression of Sema4D and the tumor angiogenesis-related protein HIF-1α in normal colorectal tissues and colorectal carcinoma tissues. The relationships between the expression and clinical characters and prognosis were analyzed. RESULTS: HIF-1α and Sema4D were positively expressed in 58% and 60% of colorectal carcinoma tissues, respectively. Significantly lower expression levels were observed in normal mucosa (8% and 12%, respectively). HIF-1α and Sema4D expression was closely correlated with histological tumor type, tumor-node-metastasis (TNM) stage, and lymphatic metastasis (P<0.05), but not with age or tumor size (P>0.05). HIF-1α and Sema4D protein expression was significantly correlated with prognosis of colorectal carcinoma, as determined by Spearman rank correlation analysis (r=0.567; P<0.01). Multivariate Cox analysis revealed that only Sema4D expression played a significant role in predicting patient prognosis (P<0.05). CONCLUSION: These findings suggest that HIF-1α and Sema4D expression correlates with histological tumor type, TNM stage, and lymphatic metastasis in colorectal carcinoma and that Sema4D is a prognostic indicator of colorectal carcinoma.
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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) | 0.000 | 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) | 0.000 | 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".