Clinical relevance of the combined analysis of circulating tumor cells and anti-tumor T-cell immunity in metastatic breast cancer patients.

T-cell receptor (TCR) anti-tumor T-cells circulating tumor cells (CTCs) liquid biopsy metastatic breast cancer (mbc)

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2022
Historique:
received: 01 07 2022
accepted: 28 07 2022
entrez: 9 9 2022
pubmed: 10 9 2022
medline: 10 9 2022
Statut: epublish

Résumé

Metastatic breast cancer (mBC) is a heterogeneous disease with varying responses to treatments and clinical outcomes, still requiring the identification of reliable predictive biomarkers. In this context, liquid biopsy has emerged as a powerful tool to assess in real-time the evolving landscape of cancer, which is both orchestrated by the metastatic process and immune-surveillance mechanisms. Thus, we investigated circulating tumor cells (CTCs) coupled with peripheral T-cell immunity to uncover their potential clinical relevance in mBC. A cohort of 20 mBC patients was evaluated, before and one month after starting therapy, through the following liquid biopsy approaches: CTCs enumerated by a metabolism-based assay, T-cell responses against tumor-associated antigens (TAA) characterized by interferon-γ enzyme-linked immunosorbent spot (ELISpot), and the T-cell receptor (TCR) repertoire investigated by a targeted next-generation sequencing technique. TCR repertoire features were characterized by the Morisita's overlap and the Productive Simpson Clonality indexes, and the TCR richness. Differences between groups were calculated by Fisher's, Mann-Whitney or Kruskal-Wallis test, as appropriate. Prognostic data analysis was estimated by Kaplan-Meier method. Stratifying patients for their prognostic level of 6 CTCs before therapy, TAA specific T-cell responses were detected only in patients with a low CTC level. By analyzing the TCR repertoire, the highest TCR clonality was observed in the case of CTCs under the cut-off and a positive ELISpot response (p=0.03). Whereas, at follow-up, patients showing a good clinical response coupled with a low number of CTCs were characterized by the most elevated TCR clonality (p<0.05). The detection of CTCs≥6 in at least one time-point was associated with a lower TCR clonality (p=0.02). Intriguingly, by combining overall survival analysis with TCR repertoire, we highlighted a potential prognostic role of the TCR clonality measured at follow-up (p=0.03). These data, whether validated in a larger cohort of patients, suggest that the combined analysis of CTCs and circulating anti-tumor T-cell immunity could represent a valuable immune-oncological biomarker for the liquid biopsy field. The clinical application of this promising tool could improve the management of mBC patients, especially in the setting of immunotherapy, a rising approach for BC treatment requiring reliable predictive biomarkers.

Sections du résumé

Background UNASSIGNED
Metastatic breast cancer (mBC) is a heterogeneous disease with varying responses to treatments and clinical outcomes, still requiring the identification of reliable predictive biomarkers. In this context, liquid biopsy has emerged as a powerful tool to assess in real-time the evolving landscape of cancer, which is both orchestrated by the metastatic process and immune-surveillance mechanisms. Thus, we investigated circulating tumor cells (CTCs) coupled with peripheral T-cell immunity to uncover their potential clinical relevance in mBC.
Methods UNASSIGNED
A cohort of 20 mBC patients was evaluated, before and one month after starting therapy, through the following liquid biopsy approaches: CTCs enumerated by a metabolism-based assay, T-cell responses against tumor-associated antigens (TAA) characterized by interferon-γ enzyme-linked immunosorbent spot (ELISpot), and the T-cell receptor (TCR) repertoire investigated by a targeted next-generation sequencing technique. TCR repertoire features were characterized by the Morisita's overlap and the Productive Simpson Clonality indexes, and the TCR richness. Differences between groups were calculated by Fisher's, Mann-Whitney or Kruskal-Wallis test, as appropriate. Prognostic data analysis was estimated by Kaplan-Meier method.
Results UNASSIGNED
Stratifying patients for their prognostic level of 6 CTCs before therapy, TAA specific T-cell responses were detected only in patients with a low CTC level. By analyzing the TCR repertoire, the highest TCR clonality was observed in the case of CTCs under the cut-off and a positive ELISpot response (p=0.03). Whereas, at follow-up, patients showing a good clinical response coupled with a low number of CTCs were characterized by the most elevated TCR clonality (p<0.05). The detection of CTCs≥6 in at least one time-point was associated with a lower TCR clonality (p=0.02). Intriguingly, by combining overall survival analysis with TCR repertoire, we highlighted a potential prognostic role of the TCR clonality measured at follow-up (p=0.03).
Conclusion UNASSIGNED
These data, whether validated in a larger cohort of patients, suggest that the combined analysis of CTCs and circulating anti-tumor T-cell immunity could represent a valuable immune-oncological biomarker for the liquid biopsy field. The clinical application of this promising tool could improve the management of mBC patients, especially in the setting of immunotherapy, a rising approach for BC treatment requiring reliable predictive biomarkers.

Identifiants

pubmed: 36081561
doi: 10.3389/fonc.2022.983887
pmc: PMC9446887
doi:

Types de publication

Journal Article

Langues

eng

Pagination

983887

Informations de copyright

Copyright © 2022 Muraro, Del Ben, Turetta, Cesselli, Bulfoni, Zamarchi, Rossi, Spazzapan, Dolcetti, Steffan and Brisotto.

Déclaration de conflit d'intérêts

FDB, MT own shares of a start-up company with exclusive license of the patent number ITRM20130700A1, 19 Dec 2013. Patent family ID 50073355 (Published as CN105849559A; CN105849559B; EP3084434A1; EP3084434B1; ES2673597T3; WO2015092726A1; ITRM20130700A1; JP2017502312A; JP6437009B2; US2017003306A1; US9958463B2). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Elena Muraro (E)

Immunopathology and Cancer Biomarkers Units, Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO), Istituto di Ricovero e Cura a Carattere Scientifico, Aviano, Italy.

Fabio Del Ben (F)

Department of Medicine, University of Udine, Udine, Italy.

Matteo Turetta (M)

Immunopathology and Cancer Biomarkers Units, Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO), Istituto di Ricovero e Cura a Carattere Scientifico, Aviano, Italy.

Daniela Cesselli (D)

Department of Medicine, University of Udine, Udine, Italy.
Institute of Pathology, University Hospital of Udine (Azienda sanitaria universitaria Friuli Centrale, ASUFC), Udine, Italy.

Michela Bulfoni (M)

Institute of Pathology, University Hospital of Udine (Azienda sanitaria universitaria Friuli Centrale, ASUFC), Udine, Italy.

Rita Zamarchi (R)

Department of Surgery, Oncology & Gastroenterology, University of Padova, Padua, Italy.

Elisabetta Rossi (E)

Department of Surgery, Oncology & Gastroenterology, University of Padova, Padua, Italy.
Veneto Institute of Oncology IOV - Istituto di Ricovero e Cura a Carattere Scientifico, Padua, Italy.

Simon Spazzapan (S)

Medical Oncology and Cancer Prevention Unit, Centro di Riferimento Oncologico di Aviano (CRO), Istituto di Ricovero e Cura a Carattere Scientifico, Aviano, Italy.

Riccardo Dolcetti (R)

Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.
Department of Microbiology and Immunology, The University of Melbourne, Melbourne, VIC, Australia.
The University of Queensland Diamantina Institute, Brisbane, QLD, Australia.

Agostino Steffan (A)

Immunopathology and Cancer Biomarkers Units, Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO), Istituto di Ricovero e Cura a Carattere Scientifico, Aviano, Italy.

Giulia Brisotto (G)

Immunopathology and Cancer Biomarkers Units, Department of Translational Research, Centro di Riferimento Oncologico di Aviano (CRO), Istituto di Ricovero e Cura a Carattere Scientifico, Aviano, Italy.

Classifications MeSH