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The pan-immune-inflammation value is associated with clinical outcomes in patients with advanced TNBC treated with first-line, platinum-based chemotherapy: an institutional retrospective analysis

Authors :
Leonardo Provenzano
Riccardo Lobefaro
Francesca Ligorio
Emma Zattarin
Luca Zambelli
Caterina Sposetti
Daniele Presti
Giulia Montelatici
Angela Ficchì
Antonia Martinetti
Alessio Arata
Marta Del Vecchio
Claudia Lauria Pantano
Barbara Formisano
Giulia Valeria Bianchi
Giuseppe Capri
Filippo de Braud
Claudio Vernieri
Giovanni Fucà
Source :
Therapeutic Advances in Medical Oncology. 15:175883592311659
Publication Year :
2023
Publisher :
SAGE Publications, 2023.

Abstract

Background: Advanced triple-negative breast cancer (aTNBC) has a poor prognosis; thus, there is a need to identify novel biomarkers to guide future research and improve clinical outcomes. Objectives: We tested the prognostic ability of an emerging, complete blood count (CBC)-based inflammatory biomarker, the pan-immune-inflammation value (PIV), in patients with aTNBC treated with first-line, platinum-based chemotherapy. Design: This was a retrospective, monocentric, observational study. Methods: We included consecutive aTNBC patients treated with platinum-based, first-line chemotherapy at our Institution, and for whom baseline (C1) CBC data were available. We collected CBC data early on-treatment, when available. PIV was calculated as: (neutrophil count × platelet count × monocyte count)/lymphocyte count. Patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2 (HER2)-negative advanced breast cancer (aBC) were included in a control, non-TNBC cohort. Results: A total of 78 aTNBC patients were included. When evaluated as a continuous variable, PIV-C1 was associated with worse overall survival (OS; p Conclusion: PIV has a promising prognostic discrimination ability in aTNBC patients treated with first-line, platinum-based chemotherapy. Both baseline and early on-treatment PIV are associated with clinical outcomes and may be exploited for creating PIV-based risk classifiers if further validated.

Subjects

Subjects :
Oncology

Details

ISSN :
17588359
Volume :
15
Database :
OpenAIRE
Journal :
Therapeutic Advances in Medical Oncology
Accession number :
edsair.doi...........1c53d7a4cd70259f42e29858732b17a3
Full Text :
https://doi.org/10.1177/17588359231165978