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Record W2492043181 · doi:10.1158/1538-7445.am2016-441

Abstract 441: Association of interferon inducible genes with tumor immune microenvironment and chemotherapy resistance in high-grade serous epithelial ovarian cancer

2016· article· en· W2492043181 on OpenAlexaffabout
Katrina Au, Liliane Meunier, Cécile Le Page, Charles H. Graham, Andrew W. Craig, Timothy Childs, Julie‐Ann Francis, Jeremy A. Squire, Anne‐Marie Mes‐Masson, Madhuri Koti

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsKingston General HospitalCentre Hospitalier de l’Université de MontréalQueen's University
Fundersnot available
KeywordsOvarian cancerTumor microenvironmentCD8MedicineImmune systemChemotherapyCancer researchBiomarkerImmunotherapyOncologyImmunohistochemistryCancerImmunologyInternal medicineBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.031
GPT teacher head0.327
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes2
Has abstractyes

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