Circulating PD-1 mRNA in Peripheral Blood is a Potential Biomarker for Predicting Survival of Breast Cancer Patients.

Programmed cell death 1 (PD-1) inhibitors have shown significant therapeutic promise in various cancers. However, the clinical significance of PD-1 expression remains not fully understood. In this study, we evaluated the clinical and prognostic relevance of PD-1 expression in breast cancer (BC). First, we analyzed PD-1 mRNA expression in BC tissues and performed a survival analysis using a dataset from The Cancer Genome Atlas. Next, we measured PD-1 mRNA expression in peripheral blood (PB) in BC patients by quantitative reverse-transcription polymerase chain reaction. We performed a survival analysis and evaluated the association between PD-1 mRNA expression in PB and the clinicopathological features of 372 BC patients who underwent curative resection. Flow cytometry (FCM) analysis was performed to identify PD-1-expressing cells in PB. Finally, we determined whether there was a correlation of PD-1 mRNA expression in PB and tumor tissue. PD-1 mRNA expression was significantly higher in tumor tissues compared with normal tissues. Decreased PD-1 mRNA expression in tumor tissue was associated with poor overall survival (OS). PD-1 mRNA expression in PB of BC patients was higher than that of healthy volunteers, and increased PD-1 mRNA expression in PB was associated with poor OS. FCM revealed that PD-1 was mostly expressed on T cells in PB, predominantly in CD4+ T cells. PD-1 mRNA expression in PB was negatively correlated with PD-1 mRNA expression in tumor tissue. High expression of PD-1 mRNA in preoperative PB could serve as an effective biomarker that indicates poor prognosis in BC.

Citation

Miwa Noda, Takaaki Masuda, Shuhei Ito, Taro Tobo, Akihiro Kitagawa, Qingjiang Hu, Dai Shimizu, Hidetoshi Eguchi, Tsuyoshi Etoh, Shinji Ohno, Masafumi Inomata, Koshi Mimori. Circulating PD-1 mRNA in Peripheral Blood is a Potential Biomarker for Predicting Survival of Breast Cancer Patients. Annals of surgical oncology. 2020 Oct;27(10):4035-4043

Mesh Tags

Substances

PMID: 32206951

search → result