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173 Androgen receptor stratifies immune-cold triple negative breast cancer: meta-analysis of chemotherapy response to guide precision immunotherapy

2025· article· W4415900319 on OpenAlexaboutno aff
Rida Fatima, Muhammad Arbaz Arshad Khan

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2025
Typearticle
Language
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsChemotherapyImmunotherapyComplete responseAndrogen receptorAndrogen suppressionAndrogen

Abstract

fetched live from OpenAlex

Background Up to one-third of triple-negative breast cancers (TNBC) express the androgen receptor (AR) and belong to the luminal-AR (LAR) subtype.These are characterised by low tumour-infiltrating lymphocytes (TILs) and muted interferon-g signalling.Whether AR status should serve as a diagnostic stratifier for neoadjuvant chemotherapy and immunotherapy trials is unresolved.We performed a PRISMA-guided metaanalysis to quantify the effect of AR positivity (immunohistochemistry [IHC] !10%) on pathologic complete response (pCR) after neoadjuvant chemotherapy and synthesized immune-contexture data.Methods We performed a PRISMA-compliant systematic review and meta-analysis.MEDLINE, EMBASE, Scopus and Clinical-Trials.govwere searched (inception-31 May 2025; English) for TNBC neoadjuvant-chemotherapy studies that reported pathologic complete response (pCR) stratified by androgen-receptor (AR) expression (IHC !10%).Two reviewers screened 247 records, extracted AR-stratified pCR counts and relevant immune correlates, and assessed quality using the Newcastle-Ottawa Scale.Log-odds ratios were pooled using a DerSimonian-Laird random-effects model; heterogeneity was summarised by I 2 .Inverse-variance weighting was used to estimate pooled prevalences of TIL-low (< 20% stromal tumour-infiltrating lymphocytes) and PD-L1 positivity (combined positive score ! 1) in AR-positive tumours. ResultsWe analyzed eight studies including 1143 TNBC patients (262 AR-positive, 881 AR-negative).Only 12.3% of AR-positive tumours achieved a pathologic complete response (pCR), compared with 39.7% of AR-negative tumours.In pooled analysis, AR positivity was associated with an odds ratio of 0.25 (95% CI 0.13-0.48;I 2 = 31%), indicating a 75% lower likelihood of chemotherapy response in AR-positive tumours.Five studies (n = 723) reported immune correlates.77% (95% CI 70-83%) of AR-positive tumours were TIL-low, compared with 32% (95% CI 26-38%) of AR-negative tumours.PD-L1 expression was observed in fewer than 10% of AR-positive tumours, versus 28-45% of AR-negative tumours.Gene expression analyses consistently showed downregulation of antigen presentation and interferon-g signaling in AR-positive TNBC, reinforcing its immune-cold phenotype.Conclusions AR positivity identifies a chemoresistant, immunecold TNBC subtype with substantially lower pathologic complete response to standard neoadjuvant chemotherapy.Routine AR immunohistochemistry could serve as a predictive tissue biomarker to stratify patients-AR-positive tumours may warrant chemotherapy de-escalation and enrollment in trials combining androgen receptor antagonists with immune-priming or checkpoint blocking agents.Prospective studies incorporating AR status alongside TIL and PD-L1 assessment are needed to refine precision immunotherapy in triple-negative breast 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.153
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.302
Teacher spread0.279 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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