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.

PIV TNBC chemotherapy pan-immune-inflammation value prognostic biomarker triple-negative breast cancer

Journal

Therapeutic advances in medical oncology
ISSN: 1758-8340
Titre abrégé: Ther Adv Med Oncol
Pays: England
ID NLM: 101510808

Informations de publication

Date de publication:
2023
Historique:
received: 05 12 2022
accepted: 06 03 2023
medline: 18 4 2023
entrez: 17 4 2023
pubmed: 18 4 2023
Statut: epublish

Résumé

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. 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. This was a retrospective, monocentric, observational study. 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. A total of 78 aTNBC patients were included. When evaluated as a continuous variable, PIV-C1 was associated with worse overall survival (OS; 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
This was a retrospective, monocentric, observational study.
Methods UNASSIGNED
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 UNASSIGNED
A total of 78 aTNBC patients were included. When evaluated as a continuous variable, PIV-C1 was associated with worse overall survival (OS;
Conclusion UNASSIGNED
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.

Identifiants

pubmed: 37063779
doi: 10.1177/17588359231165978
pii: 10.1177_17588359231165978
pmc: PMC10102956
doi:

Types de publication

Journal Article

Langues

eng

Pagination

17588359231165978

Informations de copyright

© The Author(s), 2023.

Déclaration de conflit d'intérêts

The authors declare that there is no conflict of interest.

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Auteurs

Leonardo Provenzano (L)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Riccardo Lobefaro (R)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Francesca Ligorio (F)

IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy.

Emma Zattarin (E)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Luca Zambelli (L)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Caterina Sposetti (C)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Daniele Presti (D)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Giulia Montelatici (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Angela Ficchì (A)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Antonia Martinetti (A)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Alessio Arata (A)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Marta Del Vecchio (M)

Unit of Pharmacy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Claudia Lauria Pantano (C)

Unit of Pharmacy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Barbara Formisano (B)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Giulia Valeria Bianchi (GV)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Giuseppe Capri (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Filippo de Braud (F)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.

Claudio Vernieri (C)

IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy.

Giovanni Fucà (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, Milan 20133, Italy.

Classifications MeSH