MLH1 expression predicts the response to preoperative therapy and is associated with PD-L1 expression in esophageal cancer

Kota Momose, Makoto Yamasaki, Koji Tanaka, Yasuhiro Miyazaki, Tomoki Makino, Tsuyoshi Takahashi, Yukinori Kurokawa, Kiyokazu Nakajima, Shuji Takiguchi, Masaki Mori, Yuichiro Doki

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Programmed death-ligand 1 (PD-1/PD-L1) inhibi-tion therapy demonstrates potential as a future treatment for esophageal cancer. Mismatch repair status and tumor PD-L1 expression are the candidate predictive biomarkers for response to this therapy. In colorectal cancer, mismatch repair-deficient tumors are associated with improved survival, although they are not sensitive to 5-fluorouracil-based chemotherapy. The purpose of the present study was to investigate the association between MutL homolog 1 (MLH1) expression and prognosis, response to therapy and PD-L1 expression in esophageal cancer. Immunohistochemistry was used to evaluate MLH1 and PD-L1 expression in 251 resected specimens. Of the specimens, 30.3% exhibited low MLH1 expression and 15.5% exhibited high PD-L1 expression. The 5-year overall survival rates for the high MLH1 expression group and the low MLH1 expression group were 51.3 and 55.6%, respectively (P=0.5260). The responder ratio was 45.7% in the high MLH1 expression group and 15.4% in the low MLH1 expression group (P<0.0001). The frequency of high PD-L1 expression was 11.4% in the high MLH1 expres-sion group (P=0.0064) and 25.0% in the low MLH1 expression group. MLH1 expression may be a predictive factor for the response to preoperative therapy in esophageal cancer, and esophageal cancer with low MLH1 expression may have a mechanism that assists in promoting tumor PD-L1 expression.

Original languageEnglish
Pages (from-to)958-964
Number of pages7
JournalOncology Letters
Volume14
Issue number1
DOIs
Publication statusPublished - 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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