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CC BY 4.0 · Indian J Med Paediatr Oncol
DOI: 10.1055/s-0045-1812853
Original Article

Pan-Immune-Inflammation Value: A Novel Marker for Chemotherapy Response in Locally Advanced Breast Cancer

Authors

  • K. N. Lokesh 

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

  • Guruprasad C. Shenoy 

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

  • Manjunath S. Hiremani

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

  • Rudresha A. H.

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

  • L K. Rajeev

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

  • Smitha C. Saldanha

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

  • G. V. Giri

    2   Department of Medicine, Bangalore Medical College and Research Institute, Bangalore, Karnataka, India

  • Suresh Babu M. C.

    1   Department of Medical Oncology, Kidwai Memorial Institute of Oncology, Bangalore, Karnataka, India

Funding None.
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Abstract

Introduction

Neoadjuvant chemotherapy (NACT) is the cornerstone in the management of locally advanced breast cancer (LABC), aiming to reduce tumor burden and achieve pathological complete response (pCR), which correlates with improved survival outcomes. Pan-immune-inflammation value (PIV), calculated from peripheral blood counts, reflects systemic inflammation and immune status and has been proposed as prognostic and predictive biomarker in solid tumors.

Objective

This article evaluates the role of PIV as a predictor marker of response to NACT in locally advanced breast carcinoma and to study the pathological response (residual cancer burden [RCB] score) after NACT in relation to PIV.

Materials and Methods

The current prospective observational investigation was conducted at a tertiary cancer center in Bangalore and included 168 patients with biopsy-proven LABC treated between January 2023 and December 2024. PIV was calculated as (neutrophils × monocytes × platelets)/lymphocytes from pretreatment complete blood counts. All patients received standard anthracycline-taxane–based NACT, with HER2-positive patients receiving trastuzumab. Pathological response was evaluated by employing RCB scoring system. Statistical analysis was done by employing SPSS v30.

Results

Among the 168 patients, insignificant associations were observed between PIV status and demographic or baseline clinical characteristics. However, PIV was significantly associated with pathological response. Of the 36 patients who achieved pCR (RCB 0), 88.9% had low PIV and only 11.1% had high PIV (p < 0.001). In contrast, among the 132 nonresponders (RCB 1–3), 78.8% had high PIV. Receiver operating characteristic analysis identified a PIV cutoff of 543.51 with area under the curve of 0.877. This threshold provided sensitivity of 78.8% and a specificity of 88.9% for predicting pCR. Analysis of variance confirmed statistically significant difference in mean PIV between responders and nonresponders (p < 0.001).

Conclusion

PIV is a promising, accessible biomarker for predicting response to NACT in LABC. Its use in pretreatment stratification may inform therapeutic decision-making and optimize individualized treatment strategies.

Keywords

locally advanced breast cancer - pan-immune-inflammation value - chemotherapy - residual cancer burden score

Authors' Contributions

i. Each author has made the following contributions toward the completion of the manuscript:

a. Substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data.

b. Drafting the article or revising it critically for important intellectual content.

c. Final approval of the version to be published.

The manuscript has been read and approved by all the authors, the requirements for authorship have been met, and each author believes that the manuscript represents honest work.


Patient Consent

Informed consent was taken from each patient.




Publikationsverlauf

Artikel online veröffentlicht:
30. Oktober 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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