Literature DB >> 30239046

Somatic mutational profiles of stage II and III gastric cancer according to tumor microenvironment immune type.

Jiwon Koh1, Soo Kyung Nam2, Hanseong Roh3, Jonghyuk Kim3, Byung-Chul Lee3, Jin Won Kim4, Sang-Hoon Ahn5, Do Joong Park5, Hyung-Ho Kim5, Kyoung Un Park6, Jin Haeng Chung2,7, Woo Ho Kim1,7, Hye Seung Lee2,7.   

Abstract

We aimed to determine somatic mutational profiles of stage II/III gastric cancers (GCs) according to their tumor microenvironment immune types (TMITs), which classify cancer based on co-assessment of PD-L1 expression and CD8+ tumor infiltrating lymphocytes. Eighty patients with stage II/III GC were classified as follows: TMIT I (PD-L1+ /CD8High ), TMIT II (PD-L1- /CD8Low ), TMIT III (PD-L1+ /CD8Low ), and TMIT IV (PD-L1- /CD8High ). Deep targeted sequencing using a panel of 170 cancer-related genes was performed on an Illumina HiSeq-2500 system. Most frequently mutated genes included GNAQ (41.3%), TP53 (38.8%), CREBBP (35.0%), and MAP3K1 (35.0%). PIK3CA mutations were observed more frequently in TMIT I (45.8%) and III (66.7%), than in II (12.0%) and IV (8.0%). Other genes with enriched mutations within TMIT I included ATM (33.3%), BRCA2 (33.3%), MAP3K4 (29.2%), and FLT4 (25.0%). FGFR3, MAP3K1, and RUNX1 mutations were more frequently found in TMIT II. TMIT III had a unique somatic mutation profile harboring enriched mutations of histone modifiers including CREBBP and KMT2A, and we found FGFR2 amplification exclusively within TMIT IV. Fuzzy clustering analysis based on somatic mutation frequencies identified a hypermutated group (cluster 1) and a hypomutated group (cluster 2). Cluster 1 had significant associations with TMIT I, EBV+ GCs, and MSI-H GCs (P = .023, .014, and .004), and had better overall survival (P = .057) than Cluster 2. TMIT I, EBV+ , and MSI-H GCs were estimated to have greater tumor mutational burden (P = .023, .003, and .015). By analyzing somatic mutation profiles according to TMIT classification, we identified TMIT-specific genetic alterations that provide clues for biological linkage between GC genetics and microenvironment.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  cancer microenvironment; gastric cancer; high-throughput nucleotide sequencing; programmed cell death 1 ligand 1; tumor-infiltrating lymphocytes

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Year:  2018        PMID: 30239046     DOI: 10.1002/gcc.22683

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  6 in total

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2.  Immunoscore is a strong predictor of survival in the prognosis of stage II/III gastric cancer patients following 5-FU-based adjuvant chemotherapy.

Authors:  Sumi Yun; Jiwon Koh; Soo Kyung Nam; Yoonjin Kwak; Sang-Hoon Ahn; Joong Do Park; Hyung-Ho Kim; Woo Ho Kim; Hye Seung Lee
Journal:  Cancer Immunol Immunother       Date:  2020-08-12       Impact factor: 6.968

3.  Prediction of TP53 mutations by p53 immunohistochemistry and their prognostic significance in gastric cancer.

Authors:  Hye Jung Hwang; Soo Kyung Nam; Hyunjin Park; Yujun Park; Jiwon Koh; Hee Young Na; Yoonjin Kwak; Woo Ho Kim; Hye Seung Lee
Journal:  J Pathol Transl Med       Date:  2020-07-01

4.  MAP3K1 rs889312 genotypes influence survival outcomes of Chinese gastric cancer patients who received adjuvant chemotherapy based on platinum and fluorouracil regimes.

Authors:  Jian Yang; Wei Zheng; Zhi Xu; Jinfei Chen
Journal:  Onco Targets Ther       Date:  2019-08-22       Impact factor: 4.147

5.  A genomic mutation signature predicts the clinical outcomes of immunotherapy and characterizes immunophenotypes in gastrointestinal cancer.

Authors:  Xi Jiao; Xin Wei; Shuang Li; Chang Liu; Huan Chen; Jifang Gong; Jian Li; Xiaotian Zhang; Xicheng Wang; Zhi Peng; Changsong Qi; Zhenghang Wang; Yujiao Wang; Yanni Wang; Na Zhuo; Henghui Zhang; Zhihao Lu; Lin Shen
Journal:  NPJ Precis Oncol       Date:  2021-05-04

6.  Correlation Between Dual-Time-Point FDG PET and Tumor Microenvironment Immune Types in Non-Small Cell Lung Cancer.

Authors:  Jianyuan Zhou; Sijuan Zou; Siyuan Cheng; Dong Kuang; Dan Li; Lixing Chen; Cong Liu; Jianhua Yan; Xiaohua Zhu
Journal:  Front Oncol       Date:  2021-03-18       Impact factor: 6.244

  6 in total

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