Research Article

Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Number: 30 August 31, 2026
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Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Abstract

Aim: To investigate the predictive value of pretreatment breast magnetic resonance imaging (MRI) findings, clinicopathological characteristics, and molecular tumor features for pathological response to neoadjuvant chemotherapy (NACT).

Method: This retrospective study included 194 patients with invasive breast cancer who underwent pretreatment breast MRI, received NACT, and subsequently underwent surgery between 2015 and 2020. Pathological response was assessed using the Miller–Payne grading system and categorized as complete/near-complete response (grades 4–5), partial response (grade 3), or limited response (grades 1–2). Quantitative and morphological MRI parameters, together with clinicopathological and molecular characteristics, were analyzed. Independent predictors of pathological response were identified using multinomial logistic regression analysis.

Results: According to the Miller–Payne classification, 80 patients (41.2%) achieved complete/near-complete response, 98 (50.5%) partial response, and 16 (8.2%) limited response. Histologic subtype, tumor grade, HER2 status, Ki-67 index, molecular subtype, ADC, BPE, tumor margins, enhancement pattern, and MSI were significantly associated with pathological response. In multivariable analysis, non-ductal histology and minimal BPE independently predicted limited versus complete/near-complete response, whereas non-luminal molecular subtype, minimal BPE, and MSI ≥429 independently predicted limited versus partial response. Lower ADC independently distinguished partial from complete/near-complete response. However, substantial overlap in biological and imaging features remained across response groups.

Conclusion: Pretreatment MRI biomarkers may provide complementary information for predicting NACT response when interpreted with clinicopathologic and molecular features. Lower ADC was not an independent predictor of limited response. The occurrence of similar biological and imaging features in both highly responsive and limited-response tumors highlights substantial treatment-response heterogeneity and supports an integrated multiparametric assessment rather than reliance on any single biomarker.

Keywords

Supporting Institution

The authors received no financial support for the research, authorship, and/or publication of this article.

Ethical Statement

The study was approved by the Clinical Research Ethics Committee of Istanbul Training and Research Hospital (Decision No: 3, Approval Date: January 14, 2022). The study was conducted in accordance with the ethical principles of the Declaration of Helsinki

References

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Details

Primary Language

English

Subjects

Radiology and Organ Imaging

Journal Section

Research Article

Early Pub Date

August 31, 2026

Publication Date

August 31, 2026

Submission Date

June 21, 2026

Acceptance Date

August 19, 2026

Published in Issue

Year 2026 Number: 30

APA
Nazlı, M. A., Baykara Ulusan, M., Trabulus, F. D., Gürsu, R. U., Esmerer, E., & Kelten Talu, E. C. (2026). Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. Istanbul Gelisim University Journal of Health Sciences, 30, 411-425. https://doi.org/10.38079/igusabder.1975607
AMA
1.Nazlı MA, Baykara Ulusan M, Trabulus FD, Gürsu RU, Esmerer E, Kelten Talu EC. Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. IGUSABDER. 2026;(30):411-425. doi:10.38079/igusabder.1975607
Chicago
Nazlı, Mehmet Ali, Melis Baykara Ulusan, Fadime Didem Trabulus, Rıza Umar Gürsu, Emel Esmerer, and Esra Canan Kelten Talu. 2026. “Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer”. Istanbul Gelisim University Journal of Health Sciences, nos. 30: 411-25. https://doi.org/10.38079/igusabder.1975607.
EndNote
Nazlı MA, Baykara Ulusan M, Trabulus FD, Gürsu RU, Esmerer E, Kelten Talu EC (August 1, 2026) Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. Istanbul Gelisim University Journal of Health Sciences 30 411–425.
IEEE
[1]M. A. Nazlı, M. Baykara Ulusan, F. D. Trabulus, R. U. Gürsu, E. Esmerer, and E. C. Kelten Talu, “Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer”, IGUSABDER, no. 30, pp. 411–425, Aug. 2026, doi: 10.38079/igusabder.1975607.
ISNAD
Nazlı, Mehmet Ali - Baykara Ulusan, Melis - Trabulus, Fadime Didem - Gürsu, Rıza Umar - Esmerer, Emel - Kelten Talu, Esra Canan. “Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer”. Istanbul Gelisim University Journal of Health Sciences. 30 (August 1, 2026): 411-425. https://doi.org/10.38079/igusabder.1975607.
JAMA
1.Nazlı MA, Baykara Ulusan M, Trabulus FD, Gürsu RU, Esmerer E, Kelten Talu EC. Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. IGUSABDER. 2026;:411–425.
MLA
Nazlı, Mehmet Ali, et al. “Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer”. Istanbul Gelisim University Journal of Health Sciences, no. 30, Aug. 2026, pp. 411-25, doi:10.38079/igusabder.1975607.
Vancouver
1.Mehmet Ali Nazlı, Melis Baykara Ulusan, Fadime Didem Trabulus, Rıza Umar Gürsu, Emel Esmerer, Esra Canan Kelten Talu. Integrated MRI-Derived, Pathologic, and Molecular Biomarkers for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. IGUSABDER. 2026 Aug. 1;(30):411-25. doi:10.38079/igusabder.1975607

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