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Record W3081872965 · doi:10.1158/1557-3265.ovca19-b78

Abstract B78: Improving chemotherapy response of immunologically cold high-grade serous ovarian cancer with loss of PTEN using STING agonist

2020· article· en· W3081872965 on OpenAlexaff
Noor Shakfa, Catherine Elizabeth Lightbody, Afrakoma Afriyie-Asante, Vinicius Kannen, Madhuri Koti

Bibliographic record

VenueClinical Cancer Research · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsQueen's University
Fundersnot available
KeywordsPTENOvarian cancerCancer researchCD8CarboplatinTumor microenvironmentBiologyImmune systemChemotherapyMedicineCancerImmunologyCisplatinInternal medicinePI3K/AKT/mTOR pathwayApoptosis

Abstract

fetched live from OpenAlex

Abstract High-grade serous ovarian carcinoma (HGSC) is the most lethal gynecologic malignancy, with high rates of chemotherapy resistance and poor outcomes. We previously showed that tumors from chemotherapy-resistant patients show an immunologically cold phenotype, exhibiting lower density of CD8+ T cells and low expression of interferon genes. Subsequently, using the ID8-Trp53−/− murine model of HGSC, we further demonstrated the potential of Stimulator of Interferon Genes (STING) pathway activation in enhancing response of HGSC to carboplatin chemotherapy. Currently, we aim to better characterize the effect of cancer cell genotype on response to treatment in HGSC. The evolution of the tumor immune microenvironment (TIME) as immunologically hot or cold can be to some extent dictated by cancer cell-specific genetic alterations. While loss of the tumor suppressor TP53 is a universal mutation (>96% of cases), previous reports in HGSC have shown that patients with BRCA1 mutations (~25% of cases) have higher CD8+ T-cell infiltration and higher chemosensitivity. In contrast, loss of PTEN (seen in ~20% of cases) is associated with poor outcomes and chemoresistance. We hypothesized that HGSC tumors with loss of PTEN expression can benefit via immunomodulatory treatment approaches that activate the STING pathway following chemotherapy. C57/BL6 mice were implanted with either ID8-Trp53−/−; Brca1−/− cells or ID8-Trp53−/−; Pten−/− cells and subjected to one of three treatment groups: vehicle, carboplatin, or carboplatin + STING agonist. Characterization of the TIME generated from ID8-Trp53−/−; Brca1−/− cells, and those from ID8-Trp53−/−; Pten−/− cells, through local and systemic immune profiling, showed significant immunologic differences between different genotypes. Addition of STING agonist significantly increased chemosensitivity and improved overall response in ID8-Trp53−/−; Pten−/− injected mice compared to those treated with carboplatin alone. This study helps to determine the potential of STING pathway activation in inducing an activated tumor immune state in genotypes of HGSC that result in a “cold” TIME, such as loss of PTEN, to augment responses to chemotherapy and prolong survival. Citation Format: Noor Shakfa, Elizabeth Lightbody, Afrakoma Afriyie-Asante, Vinicius Kannen, Madhuri Koti. Improving chemotherapy response of immunologically cold high-grade serous ovarian cancer with loss of PTEN using STING agonist [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research; 2019 Sep 13-16, 2019; Atlanta, GA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(13_Suppl):Abstract nr B78.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.174
GPT teacher head0.444
Teacher spread0.269 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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