Programmed death-ligand 1 is a promising blood marker for predicting tumor progression and prognosis in patients with gastric cancer

Masahiko Amatatsu, Takaaki Arigami, Yoshikazu Uenosono, Shigehiro Yanagita, Yasuto Uchikado, Yuko Kijima, Hiroshi Kurahara, Yoshiaki Kita, Shinichiro Mori, Ken Sasaki, Itaru Omoto, Kosei Maemura, Sumiya Ishigami, Shoji Natsugoe

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


Immune checkpoint inhibitor therapy has been clinically introduced for several malignancies, and its effectiveness has been confirmed by clinical trials. In particular, programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1) are widely known as important immune checkpoint molecules associated with the mechanisms of immune escape by malignant tumor cells. In addition, liquid biopsy of blood specimens has the clinical benefit of providing a simple, repeatable sampling tool. Non-invasive liquid biopsy has recently been spotlighted as a promising approach to predicting tumor progression and prognosis. This study assessed the clinical significance of PD-L1 mRNA expression in blood specimens obtained from patients with gastric cancer. Peripheral blood specimens were collected before treatment from 124 patients with gastric cancer. The PD-L1 mRNA expression was evaluated by quantitative RT-PCR. Programmed death-ligand 1 mRNA expression was significantly higher in patients with advanced gastric cancer than in patients with early gastric cancer (P =.002). Moreover, PD-L1 expression correlated significantly with depth of tumor invasion, distant metastasis, and stage (P =.001, P <.001, and P <.001, respectively). Patients with high PD-L1 expression showed significantly poorer prognosis than those with low PD-L1 expression (P <.0001). Multivariate analysis indicated PD-L1 expression as an independent prognostic factor. Expression of PD-L1 in peripheral blood may offer an immunological predictor of tumor progression and disease outcome in patients with gastric cancer.

Original languageEnglish
Pages (from-to)814-820
Number of pages7
JournalCancer science
Issue number3
Publication statusPublished - 03-2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research


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