Delineation of HIF1a mediated transcription program and the oncogenic signaling pathways in gastric tumors
Bibliographic record
Abstract
HIF1 is a transcription factor activated under hypoxic condition in many cancer types and has been implicated in cancer cell proliferation, invasion and energy metabolism. Towards understanding the role of HIF1 mediated transcription in gastric cancer, the HIF1 gene signatures established to date were analyzed for their expression across the mRNA profiles of gastric tumors. HIF1 regulated genes were identified to involve and associated with the signaling pathways and processes such as integrin signaling, Wnt, P53, EGF, FGF, VEGFA, PI3K, TGF and NFkB signaling pathways. The HIF1a genes were identified to play a significant role in energy metabolism including glycolysis, drug resistance due to epithelial to mesenchymal transition and cancer cell survival. In gastric tumors, the HIF1 regulated genes were observed to express in diffuse, poorly differentiated and stage-3 tumors. The analyses reveal i) activation of HIF1 in a sub-set of gastric tumors, ii) the pathways associated with the HIF1 activation in gastric tumors, and iii) genes involved in HIF1 mediated transcription in gastric cancer. We are further investigating the drugs that would best suit for this sub-set of tumors with activated HIF1.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".