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Record W2502288506 · doi:10.1002/cjp2.55

STAT1‐associated intratumoural T<sub>H</sub>1 immunity predicts chemotherapy resistance in high‐grade serous ovarian cancer

2016· article· en· W2502288506 on OpenAlexafffund
Katrina Au, Cécile Le Page, Runhan Ren, Liliane Meunier, I Clément, Kathrin Tyrishkin, Nichole Peterson, Jennifer Kendall‐Dupont, Timothy Childs, Julie‐Ann Francis, Charles H. Graham, Andrew W. Craig, Jeremy A. Squire, Anne‐Marie Mes‐Masson, Madhuri Koti

Bibliographic record

VenueThe Journal of Pathology Clinical Research · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversité de MontréalKingston General HospitalCentre Hospitalier de l’Université de MontréalQueen's University
FundersTerry Fox Research InstituteCancer Research Society
KeywordsSTAT1Cancer researchOvarian cancerBiologyCD8BiomarkerMedicineOncologyImmunologyImmune systemInternal medicineCancerInterferon

Abstract

fetched live from OpenAlex

Abstract High‐grade serous ovarian carcinoma (HGSC) accounts for 70% of all epithelial ovarian cancers but clinical management is challenged by a lack of accurate prognostic and predictive biomarkers of chemotherapy response. This study evaluated the role of Signal Transducer and Activator of Transcription 1 (STAT1) as an independent prognostic and predictive biomarker and its correlation with intratumoural CD8 + T cells in a second independent biomarker validation study. Tumour STAT1 expression and intratumoural CD8 + T cell infiltration were assessed by immunohistochemistry as a multicentre validation study conducted on 734 chemotherapy‐naïve HGSCs. NanoString‐based profiling was performed to correlate expression of STAT1 target genes CXCL9, CXCL10 and CXCL11 with CD8A transcript expression in 143 primary tumours. Multiplexed cytokine analysis of pre‐treatment plasma from resistant and sensitive patients was performed to assess systemic levels of STAT1‐induced cytokines. STAT1 was validated as a prognostic and predictive biomarker in both univariate and multivariate models and its expression correlated significantly with intra‐epithelial CD8 + T cell infiltration in HGSC. STAT1 levels increased the prognostic and predictive value of intratumoural CD8 + T cells, confirming their synergistic role as biomarkers in HGSC. In addition, expression of STAT1 target genes ( CXCL9, CXCL10 and CXCL11 ) correlated significantly with levels of, and CD8A transcripts from intratumoural CD8 + T cells within the resistant and sensitive tumours. Our findings provide compelling evidence that high levels of STAT1, STAT1‐induced chemokines and CD8 + T cells correlate with improved chemotherapy response in HGSC. These results identify STAT1 and its target genes as novel biomarkers of chemosensitivity in HGSC. These findings provide new translational opportunities for patient stratification for immunotherapies based on emerging biomarkers of inflammation in HGSC. An improved understanding of the role of interferon‐inducible genes will be foundational for developing immunomodulatory therapies in ovarian cancer.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.076
GPT teacher head0.396
Teacher spread0.320 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations55
Published2016
Admission routes2
Has abstractyes

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