Abstract 441: Association of interferon inducible genes with tumor immune microenvironment and chemotherapy resistance in high-grade serous epithelial ovarian cancer
Bibliographic record
Abstract
Abstract Chemotherapy resistance is a major hurdle in high-grade serous epithelial ovarian cancer (HGSC) management. We previously reported differential expression of interferon inducible genes in pre-treatment tumours from chemoresistant and sensitive HGSC tumors. STAT1 expression was evaluated as a prognostic and predictive biomarker via immunohistochemistry in Phase I (n = 183) and Phase II (n = 550) biomarker validation studies conducted on HGSC tumours accrued from the Terry Fox Research Institute- Canadian Ovarian Experimental Unified Resource (TFRI-COEUR). Tumor STAT1 expression levels significantly correlated with the density of tumor infiltrating CD8+ T lymphocytes in both Phase I and Phase II cohorts. STAT1 expression significantly associated with progression free survival and response to chemotherapy in both Phase I and Phase II validation studies. Significant positive correlation between STAT1 expression levels and intratumoral CD8+ T cell density was observed. Intratumoral CD8+ T cell infiltration did not associate with progression free survival or response to chemotherapy in both cohorts. Interestingly, the prognostic relevance of CD8+ T cell was enhanced in combination with STAT1 in both cohorts. These findings provide evidence that STAT1 as an independent biomarker and a combination of CD8+ T cell infiltration with STAT1 could be novel immune-based prognostic and predictive biomarkers in HGSC. Findings from the current study will aid in patient stratification for novel immunomodulatory therapies for the management of chemotherapy resistance in HGSC. Citation Format: Katrina K. Au, Liliane Meunier, Cécile Le Page, Charles H. Graham, Andrew WB Craig, Timothy Childs, Julie-Ann Francis, Jeremy Squire, Anne-Marie Mes-Masson, Madhuri Koti. Association of interferon inducible genes with tumor immune microenvironment and chemotherapy resistance in high-grade serous epithelial ovarian cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 441.
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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 | 0.001 | 0.001 |
| 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) | 0.014 | 0.001 |
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".