Pre-treatment peripheral blood immunophenotyping and response to neoadjuvant chemotherapy in operable breast cancer.


Journal

Breast cancer research : BCR
ISSN: 1465-542X
Titre abrégé: Breast Cancer Res
Pays: England
ID NLM: 100927353

Informations de publication

Date de publication:
10 Jun 2024
Historique:
received: 22 02 2024
accepted: 22 05 2024
medline: 11 6 2024
pubmed: 11 6 2024
entrez: 10 6 2024
Statut: epublish

Résumé

Tumor immune infiltration and peripheral blood immune signatures have prognostic and predictive value in breast cancer. Whether distinct peripheral blood immune phenotypes are associated with response to neoadjuvant chemotherapy (NAC) remains understudied. Peripheral blood mononuclear cells from 126 breast cancer patients enrolled in a prospective clinical trial (NCT02022202) were analyzed using Cytometry by time-of-flight with a panel of 29 immune cell surface protein markers. Kruskal-Wallis tests or Wilcoxon rank-sum tests were used to evaluate differences in immune cell subpopulations according to breast cancer subtype and response to NAC. There were 122 evaluable samples: 47 (38.5%) from patients with hormone receptor-positive, 39 (32%) triple-negative (TNBC), and 36 (29.5%) HER2-positive breast cancer. The relative abundances of pre-treatment peripheral blood T, B, myeloid, NK, and unclassified cells did not differ according to breast cancer subtype. In TNBC, higher pre-treatment myeloid cells were associated with lower pathologic complete response (pCR) rates. In hormone receptor-positive breast cancer, lower pre-treatment CD8 + naïve and CD4 + effector memory cells re-expressing CD45RA (T Pre-treatment peripheral blood immune cell populations (myeloid in TNBC; CD8 + naïve T cells and CD4 + T NCT02022202 . Registered 20 December 2013.

Sections du résumé

BACKGROUND BACKGROUND
Tumor immune infiltration and peripheral blood immune signatures have prognostic and predictive value in breast cancer. Whether distinct peripheral blood immune phenotypes are associated with response to neoadjuvant chemotherapy (NAC) remains understudied.
METHODS METHODS
Peripheral blood mononuclear cells from 126 breast cancer patients enrolled in a prospective clinical trial (NCT02022202) were analyzed using Cytometry by time-of-flight with a panel of 29 immune cell surface protein markers. Kruskal-Wallis tests or Wilcoxon rank-sum tests were used to evaluate differences in immune cell subpopulations according to breast cancer subtype and response to NAC.
RESULTS RESULTS
There were 122 evaluable samples: 47 (38.5%) from patients with hormone receptor-positive, 39 (32%) triple-negative (TNBC), and 36 (29.5%) HER2-positive breast cancer. The relative abundances of pre-treatment peripheral blood T, B, myeloid, NK, and unclassified cells did not differ according to breast cancer subtype. In TNBC, higher pre-treatment myeloid cells were associated with lower pathologic complete response (pCR) rates. In hormone receptor-positive breast cancer, lower pre-treatment CD8 + naïve and CD4 + effector memory cells re-expressing CD45RA (T
CONCLUSIONS CONCLUSIONS
Pre-treatment peripheral blood immune cell populations (myeloid in TNBC; CD8 + naïve T cells and CD4 + T
TRIAL REGISTRATION BACKGROUND
NCT02022202 . Registered 20 December 2013.

Identifiants

pubmed: 38858721
doi: 10.1186/s13058-024-01848-z
pii: 10.1186/s13058-024-01848-z
doi:

Substances chimiques

Receptor, ErbB-2 EC 2.7.10.1
Biomarkers, Tumor 0
ERBB2 protein, human EC 2.7.10.1

Banques de données

ClinicalTrials.gov
['NCT02022202']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

97

Subventions

Organisme : NCATS NIH HHS
ID : CTSA Grant Number KL2 TR002379
Pays : United States
Organisme : Mayo Clinic Breast Cancer Specialized Program of Research Excellence Grant
ID : P50CA 116201
Organisme : Mayo Clinic Cancer Center Support Grant
ID : P30 CA15083-40A2
Organisme : Pharmacogenomics Research Network
ID : U19 GM61388

Informations de copyright

© 2024. The Author(s).

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Auteurs

Roberto A Leon-Ferre (RA)

Department of Oncology, Mayo Clinic, Rochester, MN, USA. leonferre.roberto@mayo.edu.

Kaitlyn R Whitaker (KR)

Division of Hematology, Mayo Clinic, Rochester, MN, USA.

Vera J Suman (VJ)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Tanya Hoskin (T)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Karthik V Giridhar (KV)

Department of Oncology, Mayo Clinic, Rochester, MN, USA.

Raymond M Moore (RM)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Ahmad Al-Jarrad (A)

Division of Hematology, Mayo Clinic, Rochester, MN, USA.

Sarah A McLaughlin (SA)

Department of Surgery, Mayo Clinic, Jacksonville, FL, USA.

Donald W Northfelt (DW)

Division of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ, USA.

Katie N Hunt (KN)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Amy Lynn Conners (AL)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Ann Moyer (A)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.

Jodi M Carter (JM)

Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.

Krishna Kalari (K)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

Richard Weinshilboum (R)

Schulze Center for Novel Therapeutics, Mayo Clinic, Rochester, MN, USA.

Liewei Wang (L)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.

James N Ingle (JN)

Department of Oncology, Mayo Clinic, Rochester, MN, USA.

Keith L Knutson (KL)

Department of Immunology, Mayo Clinic, Jacksonville, FL, USA.

Stephen M Ansell (SM)

Division of Hematology, Mayo Clinic, Rochester, MN, USA.

Judy C Boughey (JC)

Department of Surgery, Mayo Clinic, Rochester, MN, USA.

Matthew P Goetz (MP)

Department of Oncology, Mayo Clinic, Rochester, MN, USA.

Jose C Villasboas (JC)

Division of Hematology, Mayo Clinic, Rochester, MN, USA.

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