Robert M Lafrenie1, Lisa Speigl2, Carly A Buckner3, Graham Pawelec4, Michael S Conlon5, Christopher Shipp2. 1. Health Sciences North Research Institute, Sudbury, Ontario, Canada; Laurentian University, Sudbury, Ontario, Canada; Northern Ontario School of Medicine, Sudbury, Ontario, Canada. Electronic address: rlafrenie@laurentian.ca. 2. Department of Internal Medicine II, University Hospital Tübingen, Tübingen, Germany. 3. Health Sciences North Research Institute, Sudbury, Ontario, Canada; Laurentian University, Sudbury, Ontario, Canada. 4. Health Sciences North Research Institute, Sudbury, Ontario, Canada; Department of Internal Medicine II, University Hospital Tübingen, Tübingen, Germany. 5. Health Sciences North Research Institute, Sudbury, Ontario, Canada.
Abstract
BACKGROUND: The frequency of circulating leukocytes has been shown to be a prognostic factor in patients being treated for different types of cancer. In breast cancer, tumor-infiltrating leukocytes may predict patient outcome, but few studies have investigated such associations for circulating leukocytes. PATIENTS AND METHODS: Multiparametric flow cytometry was used to examine the immunophenotypes of circulating peripheral blood mononuclear cells for 88 patients with metastatic breast cancer, which was then correlated to breast cancer-specific survival. Patients had been treated either with high-dose cyclophosphamide-containing regimens (group 1, n = 51 patients) or high-dose paclitaxel-containing regimens (group 2, n = 37 patients). RESULTS: The frequency of peripheral blood CD14+ monocytes indicated prognosis for patients in group 1 (but not group 2), while higher levels of CD11c+ dendritic cells indicated a better prognosis for patients in group 2 (but not group 1). The frequency of a number of different CD4+ or CD8+ T cell subtypes also predicted prognosis for patients in group 2. For example, patients in group 2 with a higher frequency of circulating CD4+ or CD8+ naive T cells (CD45RA+CD95-CD27+CD28+) showed a poorer prognosis. In contrast, T cells were not associated with prognosis for patients in group 1. CONCLUSION: Circulating leukocytes can predict clinical outcome for patients with breast cancer. Prediction of clinical outcome in this cohort of metastatic breast cancer patients was specific to the type of chemotherapy, and this finding is likely to apply to other therapies.
BACKGROUND: The frequency of circulating leukocytes has been shown to be a prognostic factor in patients being treated for different types of cancer. In breast cancer, tumor-infiltrating leukocytes may predict patient outcome, but few studies have investigated such associations for circulating leukocytes. PATIENTS AND METHODS: Multiparametric flow cytometry was used to examine the immunophenotypes of circulating peripheral blood mononuclear cells for 88 patients with metastatic breast cancer, which was then correlated to breast cancer-specific survival. Patients had been treated either with high-dose cyclophosphamide-containing regimens (group 1, n = 51 patients) or high-dose paclitaxel-containing regimens (group 2, n = 37 patients). RESULTS: The frequency of peripheral blood CD14+ monocytes indicated prognosis for patients in group 1 (but not group 2), while higher levels of CD11c+ dendritic cells indicated a better prognosis for patients in group 2 (but not group 1). The frequency of a number of different CD4+ or CD8+ T cell subtypes also predicted prognosis for patients in group 2. For example, patients in group 2 with a higher frequency of circulating CD4+ or CD8+ naive T cells (CD45RA+CD95-CD27+CD28+) showed a poorer prognosis. In contrast, T cells were not associated with prognosis for patients in group 1. CONCLUSION: Circulating leukocytes can predict clinical outcome for patients with breast cancer. Prediction of clinical outcome in this cohort of metastatic breast cancerpatients was specific to the type of chemotherapy, and this finding is likely to apply to other therapies.
Authors: Ainhoa Arana Echarri; Mark Beresford; John P Campbell; Robert H Jones; Rachel Butler; Kenneth J Gollob; Patricia C Brum; Dylan Thompson; James E Turner Journal: Front Immunol Date: 2021-02-01 Impact factor: 7.561
Authors: Grace M Niemiro; Adriana M Coletta; Nadia H Agha; Preteesh Leo Mylabathula; Forrest L Baker; Abenaa M Brewster; Therese B Bevers; Enrique Fuentes-Mattei; Karen Basen-Engquist; Emmanuel Katsanis; Susan C Gilchrist; Richard J Simpson Journal: Immun Ageing Date: 2022-03-23 Impact factor: 6.400