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Abstract P4-02-16: Prognostic and Predictive Capacity of Tumor Infiltrating Lymphocytes in the MA.20 regional radiotherapy trial

2023· article· en· W4322760629 on OpenAlexaff
Nazia Riaz, Bingshu E. Chen, Anita Bane, Dongxia Gao, Elisabeth Specht Stovgaard, Zuzana Kos, Samuel Leung, Elahe Shenasa, Wendy R. Parulekar, Torsten Nielson, Timothy J. Whelan

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsMcMaster UniversityUniversity of TorontoMcMaster University Medical CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicineInternal medicineHazard ratioContext (archaeology)OncologyBreast cancerProportional hazards modelTissue microarrayClinical endpointH&E stainImmunohistochemistryClinical trialBiopsyPathologyConfidence intervalCancer

Abstract

fetched live from OpenAlex

Abstract Background: The benefit of regional nodal irradiation (RNI) in patients with low burden metastatic axillary disease was established in MA.20 showing that patients randomized to receive adjuvant whole breast irradiation (WBI) plus RNI experienced a significantly better disease free survival (DFS) and distant disease free survival (DDFS) compared to those who received WBI alone and this advantage was maintained in the hormone receptor negative subgroup. Stromal tumor infiltrating lymphocytes (sTILs) have shown prognostic and predictive value in HER2 positive and triple negative breast cancers. To date, clinical importance of immune infiltrates as prognostic and predictive biomarkers in the context of benefit from RNI has not been shown. Methods: 1064 full-face hematoxylin and eosin (H&E) stained sections and formalin fixed paraffin embedded primary tumor blocks assembled into 16 tissue microarrays (TMAs) in quadruplicates linked with clinical data were accessible from the original 1832 patients in the MA.20 trial for this retrospective-prospective translational study conducted according to the REMARK guidelines. sTILs were assessed on scanned images of H&E sections according to the International Immuno-Oncology Working Group method, and on TMAs by CD8 immunohistochemistry (IHC) using a validated assay. Biomarkers were scored by pathologists blinded to the clinical data and analyzed as continuous and categorical variables using prespecified median cutpoints. The median follow-up was 9.5 years. Cox proportional regression modelling was used after adjusting for clinicopathological factors and treatments. Hazard ratios (HR) with 95% confidence intervals (CI) were reported for the primary endpoint of DFS and secondary endpoint of DDFS. Predictive value was assessed by the interaction test between the treatment arm and the biomarkers in the full cohort and an IHC defined non-luminal A subgroup. Results: 1035 cases were evaluable for sTILs on H&E sections. Of these 52.6% (n=544) cases with ≥10% sTILs displayed a significant correlation with age < 50 years, grade III, tumor size >2cm, hormone receptor negative status, and non-luminal A subgroup (p < 0.05). Of the 857 evaluable cases on TMAs, CD8+sTILs (≥16) were observed in 49.8% (n=427) cases and showed a significant association with grade III, ER negativity and non-luminal A status (p < 0.05). For the full cohort, H&E sTILs assessed as a continuous parameter, were not prognostic for DFS (HR 0.993; 95% CI 0.984-1.003; p=0.18) but provided prognostic information for DDFS (HR 0.988; 95% CI 0.977-0.999; p=0.04) in multivariate analyses. H&E sTILs did not show predictive value as a continuous variable. Similarly, using the prespecified cutpoint (≥10%), H&E sTILs were neither prognostic nor predictive. Increasing level of CD8+sTILs was associated with significantly improved DFS (HR 0.99; 95% CI 0.983-0.998; p=0.02) and DDFS (HR 0.98; 95% CI 0.97-0.99; p=0.002) in multivariate analyses. For the full cohort, CD8+sTILs as a continuous variable, showed a significant improvement in DDFS for patients randomized to WBI and RNI (HR 0.979; 95%CI 0.959-0.999; p(interaction) =0.04) compared to WBI alone and a trend (HR 0.977; 95%CI 0.954-1.001; p(interaction) =0.06) for better outcome was observed for the non-luminal A subgroup. CD8+sTILs at the prespecified cutpoint (≥16) were not prognostic or predictive. Conclusions: Pre-treatment tumoral infiltration with stromal lymphocytes provided positive prognostic information for DFS (CD8+sTILs) and DDFS (H&E sTILs and CD8+sTILs) when examined as a continuous variable but failed to do so at prespecified cutpoints. While CD8+sTILs as a continuous variable predicted benefit from RNI, significant prediction results were not seen for prespecified cutpoint or related biomarker H&E sTIL. These results require further validation. Citation Format: Nazia Riaz, Bingshu Chen, Anita Bane, Dongxia Gao, Elisabeth Stovgaard, Zuzana Kos, Samuel Leung, Elahe Shenasa, Wendy Parulekar, Shelley Chambers, Torsten Nielson, Timothy J. Whelan. Prognostic and Predictive Capacity of Tumor Infiltrating Lymphocytes in the MA.20 regional radiotherapy trial [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P4-02-16.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.082
GPT teacher head0.378
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".

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Citations4
Published2023
Admission routes1
Has abstractyes

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