Abstract PS2-07-15: Immune biomarkers of standard-of-care chemoimmunotherapy response and resistance in real-world patient population: TBCRC061

Abstract Background: Currently, only a small fraction (<10%) of patients with breast cancer receiving immune checkpoint inhibitors (ICI) as standard of care (SOC) achieve clinical benefit. Additionally, immunotherapy carries serious and long-lasting immune-related adverse events, highlighting the need for effective biomarkers for patient selection. Most biomarkers evaluated thus far, including PD-L1, stromal tumor-infiltrating lymphocytes (sTILs), TMB and most gene expression profiles, are generally prognostic or predictive of chemotherapy response, and lack immunotherapy benefit specificity. Some biomarkers, like DetermaIO, tumor-specific (ts)MHC-II have been identified as potential predictive biomarkers for immunotherapy-specific response across multiple tumor types and trials while many others are generally prognostic or predictive of response in both chemotherapy- and chemo-immunotherapy-treated patients. We present the results from the early-stage cohort of TBCRC061, a non-interventional correlative trial leveraging archival tissues from patients treated with SOC ICI (neoadjuvant target accrual n=80, and metastatic n=100) to validate these biomarkers. Methods: Patients with breast cancer receiving SOC chemoimmunotherapy were identified and consented. Pre-treatment formalin-fixed and paraffin embedded archival samples were collected. Relevant patient demographics and response to treatment were extracted from the medical record. The neoadjuvant cohort completed accrual in 2025 and will be presented here. Results: Of 85 consented patients in the neoadjuvant cohort, 67 completed neoadjuvant treatment and had sufficient and suitable tissue for correlative analysis. Forty-seven patients (69%) achieved a complete or near-complete response (defined as RCB 0/I). tsMHC-II demonstrated a trend for enhanced response (ts-HLA-DR≥5%, n=40, 78% vs 59%, p=0.09, Fisher’s exact test). sTILs ≥30% defined numerically higher rates of response (83% vs 66%, p=0.14, Fisher’s exact test). Patients with tumors with immune infiltration in the tumor core (inflamed, n=29) or brisk accumulation of TILs in the tumor margin (margin predominant, n=30) achieved similar response rate (79% vs 73%), however patients with ≤5% sTILs and no accumulation on the margins (immune desert; ID) had drastically lower response rates (17%, n=6, p=0.01, Fisher’s exact test). The combination of tsMHC-I & II and tumor immune spatial organization differentiated response to chemoimmunotherapy (AUC: 0.75 p=0.0012, multiple logistic regression). Discussion: The combination of tsMHC-I & II and tumor immune spatial organization more accurately differentiated response to chemoimmunotherapy than each individual biomarker. Given the lack of a directly comparable chemotherapy-alone cohort, we cannot differentiate immunotherapy-specific benefit from general chemotherapy benefit in this trial, though MHC-II was not prognostic or predictive of chemotherapy response in prior studies. Patients with ID tumors likely require a different therapeutic strategy than the current SOC, as they consistently demonstrate exceptionally poor rates of response across trials. RNA sequencing data from baseline tumor biopsies is pending and will be presented as well in an exploratory analysis, including discovery of potential targetable pathways overrepresented in ID tumors. Citation Format: J. M. Balko, P. I. Gonzalez-Ericsson, B. Taylor, A. Ocampo, J. Serrenho, S. Opalenik, V. Sanchez, M. Sanders, M. Rimawi, Y. Abdou, S. Nunnery, R. Nanda, F. Howard, J. Anampa-Mesias, L. Kennedy. Immune biomarkers of standard-of-care chemoimmunotherapy response and resistance in real-world patient population: TBCRC061 [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-15.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps2-07-15
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract PS2-07-15: Immune biomarkers of standard-of-care chemoimmunotherapy response and resistance in real-world patient population: TBCRC061

Andres A. Ocampo, Jesus Anampa-Mesias, Brandie Taylor, J. Serrenho et al.
Clinical Cancer Research
Cancer Immunotherapy and Biomarkers
article

Abstract PS2-07-15: Immune biomarkers of standard-of-care chemoimmunotherapy response and resistance in real-world patient population: TBCRC061

Andres A. Ocampo, Jesus Anampa-Mesias, Brandie Taylor, J. Serrenho, V. Sanchez, F. M. Howard, S. Nunnery, M. Sanders, M. F. Rimawi, P. I. Gonzalez-Ericsson, J. M. Balko, L. Kennedy, R. Nanda, S. Opalenik
article en

Abstract

Abstract Background: Currently, only a small fraction (<10%) of patients with breast cancer receiving immune checkpoint inhibitors (ICI) as standard of care (SOC) achieve clinical benefit. Additionally, immunotherapy carries serious and long-lasting immune-related adverse events, highlighting the need for effective biomarkers for patient selection. Most biomarkers evaluated thus far, including PD-L1, stromal tumor-infiltrating lymphocytes (sTILs), TMB and most gene expression profiles, are generally prognostic or predictive of chemotherapy response, and lack immunotherapy benefit specificity. Some biomarkers, like DetermaIO, tumor-specific (ts)MHC-II have been identified as potential predictive biomarkers for immunotherapy-specific response across multiple tumor types and trials while many others are generally prognostic or predictive of response in both chemotherapy- and chemo-immunotherapy-treated patients. We present the results from the early-stage cohort of TBCRC061, a non-interventional correlative trial leveraging archival tissues from patients treated with SOC ICI (neoadjuvant target accrual n=80, and metastatic n=100) to validate these biomarkers. Methods: Patients with breast cancer receiving SOC chemoimmunotherapy were identified and consented. Pre-treatment formalin-fixed and paraffin embedded archival samples were collected. Relevant patient demographics and response to treatment were extracted from the medical record. The neoadjuvant cohort completed accrual in 2025 and will be presented here. Results: Of 85 consented patients in the neoadjuvant cohort, 67 completed neoadjuvant treatment and had sufficient and suitable tissue for correlative analysis. Forty-seven patients (69%) achieved a complete or near-complete response (defined as RCB 0/I). tsMHC-II demonstrated a trend for enhanced response (ts-HLA-DR≥5%, n=40, 78% vs 59%, p=0.09, Fisher’s exact test). sTILs ≥30% defined numerically higher rates of response (83% vs 66%, p=0.14, Fisher’s exact test). Patients with tumors with immune infiltration in the tumor core (inflamed, n=29) or brisk accumulation of TILs in the tumor margin (margin predominant, n=30) achieved similar response rate (79% vs 73%), however patients with ≤5% sTILs and no accumulation on the margins (immune desert; ID) had drastically lower response rates (17%, n=6, p=0.01, Fisher’s exact test). The combination of tsMHC-I & II and tumor immune spatial organization differentiated response to chemoimmunotherapy (AUC: 0.75 p=0.0012, multiple logistic regression). Discussion: The combination of tsMHC-I & II and tumor immune spatial organization more accurately differentiated response to chemoimmunotherapy than each individual biomarker. Given the lack of a directly comparable chemotherapy-alone cohort, we cannot differentiate immunotherapy-specific benefit from general chemotherapy benefit in this trial, though MHC-II was not prognostic or predictive of chemotherapy response in prior studies. Patients with ID tumors likely require a different therapeutic strategy than the current SOC, as they consistently demonstrate exceptionally poor rates of response across trials. RNA sequencing data from baseline tumor biopsies is pending and will be presented as well in an exploratory analysis, including discovery of potential targetable pathways overrepresented in ID tumors. Citation Format: J. M. Balko, P. I. Gonzalez-Ericsson, B. Taylor, A. Ocampo, J. Serrenho, S. Opalenik, V. Sanchez, M. Sanders, M. Rimawi, Y. Abdou, S. Nunnery, R. Nanda, F. Howard, J. Anampa-Mesias, L. Kennedy. Immune biomarkers of standard-of-care chemoimmunotherapy response and resistance in real-world patient population: TBCRC061 [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-15.

Clinical Cancer ResearchVol. 32(4_Supplement)
Montefiore Medical Center (US), Baylor College of Medicine (US), University of Chicago (US), Tennessee Oncology (US), Carolina Institute for NanoMedicine (US), Vanderbilt University Medical Center (US)
Good health and well-being
Openalex Percentile: Top 46%
Cancer Immunotherapy and Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.