Upregulated Ly-6 gene expression is associated with poor overall survival in uterine corpus endometrial carcinoma patients
Bibliographic record
Abstract
Abstract The human Ly-6 (hLy-6) gene family has recently gained interest for its possible role in tumor progression. High expression of hLy-6 genes is associated with poor overall survival in pancreatic ductal adenocarcinoma patients. To expand upon this work, we have carried out in silico analyses of all known hLy-6 gene expression in other cancers using TNMplot which shows differential gene expression in cancer tissues. We have also analyzed the patient survival by Kaplan-Meier plotter after mining the TCGA database. We report that upregulated expression of several hLy-6 genes is associated with poor cancer patient survival in many other cancer types, especially uterine corpus endometrial carcinoma (UCEC). Importantly, the expression of a number of hLy-6 genes is elevated in UCEC tissue when compared to the expression in normal uterine tissue. Further analysis of tumor-specific expression of the hLy-6 gene family is needed to uncover the function of Ly-6 proteins as well as the signaling pathways these proteins trigger that endow tumor survival and poor patient prognosis. Human Ly-6 gene products can potentially be used as biomarkers for cancer detection and as tumor associated antigens to identify high-risk cancer patients and appropriately design and/or calibrate cancer treatments for such patients.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".