HIF-1alpha in lung carcinoma: Histopathological evidence of hypoxia targets in patient biopsies
Bibliographic record
Abstract
Background: Hypoxia inducible factor 1alpha (HIF-1alpha) plays a major role in the response of tumors to hypoxia, and contributes to tumor aggressiveness, invasiveness and resistance to radiotherapy and chemotherapy. Targeting HIF-1alpha is an attractive strategy, with the potential for disrupting multiple pathways crucial for tumor growth. Thus, the evaluation of HIF-1alpha in patient biopsies could be useful in personalized cancer treatment. Methodology: The current literature on HIF-1alpha immunohistochemical expression is reviewed along with the relation to clinical outcome and prognosis. In addition, the significant correlation of HIF-1alpha to vascular endothelial growth factor (VEGF) expression is reported, as well as the possible role of HIF-1alpha in predicting the therapeutic response to anti-EGFR therapies. Conclusion: Herein, an overview of the HIF-1alpha expression in lung carcinoma is presented. Since there is no consensus regarding the assessment of HIF-1alpha in tissue specimens, heterogeneous results have been reported especially regarding prognosis. In this context, methods to optimize the evaluation of HIF-1alpha in biopsies are needed in order to clarify the role of HIF-1alpha as a prognostic or predictive biomarker in lung 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".