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Tumor immune microenvironment is influenced by frameshift mutations and tumor mutational burden in gastric cancer.
- Source :
- Current Treatment Options in Oncology; Feb2022, Vol. 23 Issue 2, p556-567, 12p
- Publication Year :
- 2022
-
Abstract
- Purpose: Immunoscore can effectively predict prognosis in patients with colon cancer; however, its clinical application is limited. We modified the Immunoscore and created a tumor immune microenvironment (TIM) classification system for gastric carcinoma. Unlike previous studies that used small sample sizes or focused on particular immune-cell subtypes, our simplified system enables pathologists to classify gastric carcinomas intuitively using H&E-stained sections. Methods: Samples from 326 patients with advanced gastric carcinoma were reviewed and analyzed by pathologists using simple determination and digital image analysis. Comprehensive results of cancer-panel sequencing, Epstein-Barr‒virus (EBV) status, and PD-L1, HER2, ATM, PTEN, MET, FGFR2, and EGFR immunohistochemistry were evaluated with respect to the TIM class. Results: The TIM was classified as "hot" (n = 22), "immunosuppressed" (n = 178), "excluded" (n = 83), or "cold" (n = 43). TIM category was significantly associated with numbers of frameshift mutations (P < 0.001) and high tumor mutational burden (P < 0.004), and predicted overall survival. It was also significantly associated with age, histological type, degree of fibrosis, PD-L1 expression, loss of ATM and PTEN expression (P < 0.001), sex, EBV positivity, and HER2 overexpression (P < 0.04). "Hot" tumors were frequent in PD-L1 expressing and EBV-positive samples, and in those with ATM and PTEN loss. "Excluded" tumors were frequent in HER2-positive cases, whereas "cold" tumors were more frequent in younger patients with poorly cohesive histology and high fibrosis levels. Conclusions: TIM classification system for gastric carcinoma has prognostic significance and results in classes that are associated with molecular characteristics. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15272729
- Volume :
- 23
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Current Treatment Options in Oncology
- Publication Type :
- Academic Journal
- Accession number :
- 156444664
- Full Text :
- https://doi.org/10.1007/s12094-021-02714-6