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Abstract A07: Improved prognosis of HPV-positive oropharyngeal cancers is associated with a suppression of TGF-β-mediated immune evasion

2020· article· en· W3035251856 on OpenAlexaff
Anthony Bolyos, Pinaki Bose

Bibliographic record

VenueClinical Cancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineOncologyCancer researchCarcinogenesisInternal medicineHPV infectionCancerCervical cancer

Abstract

fetched live from OpenAlex

Abstract Among head and neck squamous carcinoma (HNSC), human papilloma virus (HPV)-driven tumors are known to enjoy more favorable prognostic outcomes compared to non-HPV-driven disease. This is especially true of HPV-positive oropharyngeal squamous cell carcinoma (OPSCC), which is associated with significantly improved outcomes compared to HPV-positive non-OPSCC and HPV-negative HNSC. Previous reports have suggested that increased immune infiltration and expression of the estrogen receptor α (ERα) may play a role in conferring improved prognosis to HPV-positive OPSCC. However, the underlying signaling pathways specifically driven by HPV in the oropharynx have remained elusive. Here we analyzed HPV-positive OPSCC and non-OPSCC tumors from The Cancer Genome Atlas (TCGA) and found that HPV-positive OPSCC is associated with significantly improved overall and disease-specific survival and progression-free interval compared to HPV-positive non-OPSCC. Among HPV-positive HNSC, we observed a distinct separation of OPSCC from non-OPSCC tumors based on unsupervised clustering of gene expression, microRNA, and methylation profiling data. Separation based on anatomic site was not observed among HPV-negative HNSC, suggesting that common biology drives the carcinogenesis of HPV-negative HNSC across subsites. In line with a recent report that ERα mRNA expression is elevated HPV-positive OPSCC, we found significantly higher ERα mRNA levels in HPV-positive OPSCC compared to HPV-positive non-OPSCC, where ERα mRNA expression mirrored that in HPV-negative HNSC. We also found that HPV induces downregulation of TGF-β signaling and extracellular matrix (ECM)-associated genes while upregulating a T-cell and dendritic cell-associated immune response signature in an OPSCC-specific manner. Our analyses suggest that HPV induces downregulation of TGF-β signaling and ECM components in OPSCC to improve immune access to these tumors, facilitating tumor clearance and improved patient survival. These findings are in line with our recent report establishing TGF-β-mediated immunosuppression through ECM deregulation and its negative effect on patient prognosis. Citation Format: Anthony Bolyos, Pinaki Bose. Improved prognosis of HPV-positive oropharyngeal cancers is associated with a suppression of TGF-β-mediated immune evasion [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Optimizing Survival and Quality of Life through Basic, Clinical, and Translational Research; 2019 Apr 29-30; Austin, TX. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(12_Suppl_2):Abstract nr A07.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.081
GPT teacher head0.421
Teacher spread0.340 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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