Association of patient-reported stress and depression symptoms with ER-specific tumor transcriptional signatures in breast cancer (BC).

565 Background: Psychological distress is common among women with BC, yet tumor-level biological correlates remain poorly defined. We used tumor transcriptomics to identify pathways associated with patient-reported stress and depression symptoms. Methods: RNA sequencing was conducted on FFPE tumor samples in 195 women with stage I-III BC (152 ER+, 43 ER–) from the Women’s Health after Breast Cancer cohort. At diagnosis, participants completed Perceived Stress Scale (PSS-10) and Center for Epidemiologic Studies Depression (CES-D) Scale. High-low stress (PSS-10 >14 vs 0-14) and high-low somatic symptoms (CES-D somatic > 3 vs ≤ 3) were defined. Differential expression and gene-set enrichment analyses compared high-stress/low-somatic-symptom (HS/LSS) and low-stress/high-somatic-symptom (LS/HSS) groups with low-stress/low-somatic-symptom controls, stratified by estrogen receptor (ER) status, adjusted for age and education. Caris Life Sciences CODEai evaluated overall survival (OS) from tissue collection to last contact. Results: In ER+BC, HS/LSS showed increased humoral-immune activity and checkpoint signatures, with reduced neuroendocrine activation. LS/HSS enriched for a neuroendocrine state, ribosome biogenesis, immune and cell-cycle pathways, with loss of epithelial regulatory programs. In ER– BC, HS/LSS showed growth-factor-driven proliferation with reduced epithelial differentiation and greater immune-checkpoint engagement. LS/HSS exhibited metabolic-stress features with loss of epithelial/immune programs and increased keratinization, consistent with impaired antigen presentation and altered differentiation. Table outlines key up- and down-regulated signatures. Using CODEai, in ER+ (n=11309), higher PHOX2A (41 m vs 38.4 m) and TDGF1 ( 42 m vs 37.4 m), and in ER– (n=6402), higher SCL5A11 (24 m vs 20.7 m) and KRT40 (23.5 m vs 21.1 m) were associated with better OS, all p < 0.01. Conclusions: Patient-reported stress and depressive somatic symptoms map to distinct ER-specific tumor transcriptional signatures involving immune regulation, proliferation, metabolism and differentiation. Concordant survival associations support potential clinical relevance and warrant validation to identify actionable targets. ER+ ER– HS/LSS Genes (log 2 FC) Up IGLV3-16 (3.3) , IGHV3-30 (2.5) IGF2 (4.2) Down CHGA (–21.5) KRT40 (–18.4) , PADI3 (–24.1) Pathways (NES) Fcγ-receptor (2.7), B-cell receptor (BCR) (2.7), PD-1 co-inhibition (2.1) PD-1 co-inhibition (2.4), MHC-I (2.1), ribosome (–2.1) LS/HSS Genes (log 2 FC) Up PCSK1 (4.0) IGFBP1 (7.6), HSD11B1 (4.6), OSGIN2 (3.0) Down PHOX2A (–6.0) , TDGF1 (–5.4) IGHV7-4-1 (–18.9) , MUC2 (–21.5) , SLC5A11 (–21.1) , PADI3 (–22.3) Pathways (NES) Ribosome biogenesis (3.1), IFNα (2.7), G1/S (2.7), G2/M (2.6), BCR (2.6) Keratinization (2.7), cornified envelope (2.3), antigen presentation (–1.8), G1/S (–1.7)

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Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.565
Primary Topic
Cancer, Stress, Anesthesia, and Immune Response
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article
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article

Association of patient-reported stress and depression symptoms with ER-specific tumor transcriptional signatures in breast cancer (BC).

Neil M. Iyengar, Elizabeth A. Repasky, Christine B. Ambrosone, C-C Hong et al.
Journal of Clinical Oncology
Cancer, Stress, Anesthesia, and Immune Response
article

Association of patient-reported stress and depression symptoms with ER-specific tumor transcriptional signatures in breast cancer (BC).

Neil M. Iyengar, Elizabeth A. Repasky, Christine B. Ambrosone, C-C Hong, C. M. Paulos, A. T Ruffin, Spencer Rosario, Sunil S. Badve, Sachin Kumar Deshmukh, Zhihong Gong, Song Yao, Sharon Wu, Hans Minderman, Shipra Gandhi, Mahmoud Abdelbary Abdal Abdelbary, George W. Sledge, Kevin Kalinsky, Sayeeda Yasmeen, Anant Madabhushi, Orla Maguire
article en

Abstract

565 Background: Psychological distress is common among women with BC, yet tumor-level biological correlates remain poorly defined. We used tumor transcriptomics to identify pathways associated with patient-reported stress and depression symptoms. Methods: RNA sequencing was conducted on FFPE tumor samples in 195 women with stage I-III BC (152 ER+, 43 ER–) from the Women’s Health after Breast Cancer cohort. At diagnosis, participants completed Perceived Stress Scale (PSS-10) and Center for Epidemiologic Studies Depression (CES-D) Scale. High-low stress (PSS-10 >14 vs 0-14) and high-low somatic symptoms (CES-D somatic > 3 vs ≤ 3) were defined. Differential expression and gene-set enrichment analyses compared high-stress/low-somatic-symptom (HS/LSS) and low-stress/high-somatic-symptom (LS/HSS) groups with low-stress/low-somatic-symptom controls, stratified by estrogen receptor (ER) status, adjusted for age and education. Caris Life Sciences CODEai evaluated overall survival (OS) from tissue collection to last contact. Results: In ER+BC, HS/LSS showed increased humoral-immune activity and checkpoint signatures, with reduced neuroendocrine activation. LS/HSS enriched for a neuroendocrine state, ribosome biogenesis, immune and cell-cycle pathways, with loss of epithelial regulatory programs. In ER– BC, HS/LSS showed growth-factor-driven proliferation with reduced epithelial differentiation and greater immune-checkpoint engagement. LS/HSS exhibited metabolic-stress features with loss of epithelial/immune programs and increased keratinization, consistent with impaired antigen presentation and altered differentiation. Table outlines key up- and down-regulated signatures. Using CODEai, in ER+ (n=11309), higher PHOX2A (41 m vs 38.4 m) and TDGF1 ( 42 m vs 37.4 m), and in ER– (n=6402), higher SCL5A11 (24 m vs 20.7 m) and KRT40 (23.5 m vs 21.1 m) were associated with better OS, all p < 0.01. Conclusions: Patient-reported stress and depressive somatic symptoms map to distinct ER-specific tumor transcriptional signatures involving immune regulation, proliferation, metabolism and differentiation. Concordant survival associations support potential clinical relevance and warrant validation to identify actionable targets. ER+ ER– HS/LSS Genes (log 2 FC) Up IGLV3-16 (3.3) , IGHV3-30 (2.5) IGF2 (4.2) Down CHGA (–21.5) KRT40 (–18.4) , PADI3 (–24.1) Pathways (NES) Fcγ-receptor (2.7), B-cell receptor (BCR) (2.7), PD-1 co-inhibition (2.1) PD-1 co-inhibition (2.4), MHC-I (2.1), ribosome (–2.1) LS/HSS Genes (log 2 FC) Up PCSK1 (4.0) IGFBP1 (7.6), HSD11B1 (4.6), OSGIN2 (3.0) Down PHOX2A (–6.0) , TDGF1 (–5.4) IGHV7-4-1 (–18.9) , MUC2 (–21.5) , SLC5A11 (–21.1) , PADI3 (–22.3) Pathways (NES) Ribosome biogenesis (3.1), IFNα (2.7), G1/S (2.7), G2/M (2.6), BCR (2.6) Keratinization (2.7), cornified envelope (2.3), antigen presentation (–1.8), G1/S (–1.7)

Journal of Clinical OncologyVol. 44(16_suppl)
Roswell Park Comprehensive Cancer Center (US), Emory University (US), Veterans Health Administration (US), Caris Life Sciences (United States) (US), Atlanta VA Medical Center (US)
Good health and well-being
Openalex Percentile: Top 6%
Cancer, Stress, Anesthesia, and Immune Response
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