Literature DB >> 29534305

Clinicopathological and prognostic features of Epstein-Barr virus infection, microsatellite instability, and PD-L1 expression in gastric cancer.

Marina A Pereira1, Marcus F K P Ramos1, Sheila F Faraj1, Andre R Dias1, Osmar K Yagi1, Bruno Zilberstein1, Ivan Cecconello1, Venancio A F Alves1, Evandro S de Mello1, Ulysses Ribeiro1.   

Abstract

BACKGROUND AND OBJECTIVES: Gastric cancer (GC) has recently been categorized in molecular subtypes, which include Epstein-Barr (EBV)-positive and microsatellite instability (MSI) tumors. This distinction may provide prognostic information and identifies therapeutic targets. The aim of this study was to evaluate EBV, MSI, and PD-L1 immunoexpression in GC and its relationship with clinicopathological characteristics and patient's prognosis.
METHODS: We evaluated 287 GC patients who underwent D2-gastrectomy through immunohistochemistry for DNA mismatch repair proteins and PD-L1, and in situ hybridization for EBV detection utilizing tissue microarray.
RESULTS: EBV-positive and MSI were identified in 10.5% and 27% of the GCs, respectively. EBV positivity was associated to male gender (P = 0.032), proximal location (P < 0.001), undetermined Lauren type (P < 0.001), poorly differentiated histology (P = 0.043) and severe inflammatory infiltrate (P < 0.001). MSI-tumors were associated to older age (P = 0.002), subtotal gastrectomy (P = 0.004), pN0 (P = 0.024) and earlier TNM stage (P = 0.020). PD-L1-positive was seen in 8.8% of cases, with predominant expression in EBV-positive GC (P < 0.001). MSI was associated to better survival outcomes.
CONCLUSION: EBV-positive GCs had increased PD-L1 expression, while MSI GC had better survival outcome. EBV and MSI subgroups are distinct GC entities, their recognition is feasible by conventional techniques, and it may help individualize follow-up and guide adjuvant therapy.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  Epstein-Barr virus infection; microsatellite instability; molecular targeted therapy; programmed death-ligand 1; stomach neoplasms

Mesh:

Substances:

Year:  2018        PMID: 29534305     DOI: 10.1002/jso.25022

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  19 in total

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9.  Integrated assessment of PD-L1 expression and molecular classification facilitates therapy selection and prognosis prediction in gastric cancer.

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10.  Microsatellite instability and Epstein-Barr virus combined with PD-L1 could serve as a potential strategy for predicting the prognosis and efficacy of postoperative chemotherapy in gastric cancer.

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