4.6 Article

Analysis of PD1, PDL1, PDL2 expression and T cells infiltration in 1014 gastric cancer patients

期刊

ONCOIMMUNOLOGY
卷 7, 期 3, 页码 -

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/2162402X.2017.1356144

关键词

gastric cancer; PDL1; PDL2; PD1; prognosis; T cells

资金

  1. National Key Technology Support Program [2014BA109B02]
  2. Beijing Municipal Science and Technology Project [D131100005313010]
  3. Capital Health Development Research Program [2014-1-2151]
  4. National High Technology Research and Development Program of China (863 Program) [2014AA020603]
  5. Beijing Municipal Science and Technology Commission [Z151100004015070]
  6. National Technology Support Program of the Ministry of Science and Technology [2013BAI09B07]
  7. Beijing Municipal Administration of Hospitals [ZYLX201701]
  8. National Science-technology Support Plan Projects [2014BAI09B02]
  9. Beijing Science and Technology Program [Z121100007512010]

向作者/读者索取更多资源

Although immune checkpoint blockade have demonstrated promising results, their effects on gastric cancer (GC) are under investigation. Understanding the clinical significance of PD1 and its ligands' expression, together with T cell infiltration might provide clues for biomarkers screening in GC immunotherapy. Immunohistochemistry were performed on a tissue microarray including 1,014 GC specimens using PD1, PDL1 and PDL2 antibodies. T cell markers CD3 and CD8 were also stained and quantified by automated image analysis. Correlation with clinical features and outcome were analyzed after controlling for potential confounders including EBV infection, HER2, C-met and PCNA expression. 37.8% of the cases showed membranous PD-L1 expression in tumor cells and 74.9% in infiltrating immune cells. PDL1 expression rate was rather higher in patients without metastasis, in EBV positive group and those with C-met and PCNA expression. GC patients with high level PDL1 expression exhibited better survival. GC Patients with higher T cell infiltration also showed elevated PDL1, PDL2 and PD1 expression and predict favorable outcome, indicating an adaptive immune resistance mechanism may exist. The group of patients infiltrated with lower density CD3+ T cells also without PDL1 expression in tumor cells predict the worst outcome in the subgroup of different PTNM stage, which may suggest an inactive immune status. These results highlights the need to assess both PDL1 expression in all tumor context and the characterization of the GC immune microenvironment.

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