Peripheral Blood IL-6 and STAT3 Gene Expression as Biomarkers Associated with Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer: A Prospective Cross-Sectional Study

Purpose: Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited targeted treatment options. Blood-based biomarkers that might help predict response to neoadjuvant chemotherapy (NAC) remain lacking. We examined whether pre-treatment peripheral blood expression of interleukin-6 (IL-6) and signal transducer and activator of transcription 3 (STAT3) was associated with clinicopathological features and NAC response in TNBC. Methods: ) method using GAPDH as the housekeeping gene. Clinicopathological variables and pathological response assessed by the Miller-Payne system were analysed using IBM SPSS Statistics 23.0. Results: =0.001), respectively. Higher levels of IL-6 and STAT3 expression were associated with adverse pathological features, including lymphovascular invasion, poor tumour differentiation, and reduced rates of complete pathological response. ROC analysis showed modest discriminatory performance for both markers. The AUC for IL‑6 was 0.68 (95% CI: 0.50-0.86) and for STAT3 was 0.72 (95% CI: 0.53-0.91). Conclusion: In this pilot cohort, higher peripheral blood IL-6 and STAT3 expression was associated with unfavourable clinicopathological features in TNBC. These findings suggest that the IL-6/STAT3 axis may have value within broader predictive biomarker panels, although larger prospective studies are needed before any clinical application is considered.

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Journal
Breast Cancer Targets and Therapy
Published
2026-04-01
DOI
https://doi.org/10.2147/bctt.s593138
Primary Topic
Cytokine Signaling Pathways and Interactions
Type
article
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article

Peripheral Blood IL-6 and STAT3 Gene Expression as Biomarkers Associated with Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer: A Prospective Cross-Sectional Study

Ali Muhtaroğlu, Muhammet Burak Kamburoğlu, Gamze Güney Eskiler, K. Ozdemir et al.
Breast Cancer Targets and Therapy
Cytokine Signaling Pathways and Interactions
article

Peripheral Blood IL-6 and STAT3 Gene Expression as Biomarkers Associated with Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer: A Prospective Cross-Sectional Study

Ali Muhtaroğlu, Muhammet Burak Kamburoğlu, Gamze Güney Eskiler, K. Ozdemir, Zeynep Özman Gökçe, Belma Kocer
article en

Abstract

Purpose: Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited targeted treatment options. Blood-based biomarkers that might help predict response to neoadjuvant chemotherapy (NAC) remain lacking. We examined whether pre-treatment peripheral blood expression of interleukin-6 (IL-6) and signal transducer and activator of transcription 3 (STAT3) was associated with clinicopathological features and NAC response in TNBC. Methods: ) method using GAPDH as the housekeeping gene. Clinicopathological variables and pathological response assessed by the Miller-Payne system were analysed using IBM SPSS Statistics 23.0. Results: =0.001), respectively. Higher levels of IL-6 and STAT3 expression were associated with adverse pathological features, including lymphovascular invasion, poor tumour differentiation, and reduced rates of complete pathological response. ROC analysis showed modest discriminatory performance for both markers. The AUC for IL‑6 was 0.68 (95% CI: 0.50-0.86) and for STAT3 was 0.72 (95% CI: 0.53-0.91). Conclusion: In this pilot cohort, higher peripheral blood IL-6 and STAT3 expression was associated with unfavourable clinicopathological features in TNBC. These findings suggest that the IL-6/STAT3 axis may have value within broader predictive biomarker panels, although larger prospective studies are needed before any clinical application is considered.

Breast Cancer Targets and TherapyVol. Volume 18
Sakarya University (TR), Giresun University (TR), Bezmiâlem Vakıf Üniversitesi (TR), Sakarya Eğitim ve Araştırma Hastanesi (TR)
Reduced inequalities
Openalex Percentile: Top 21%
Cytokine Signaling Pathways and Interactions
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