Abstract

e16055 Background: Gastric cancer (GC) is a malignant tumor with a high lethality rate, with the highest incidence occurring in China. Gastric cancer is phenotypically heterogeneous, therefore the identification of genomic alteration is crucial for guiding clinical treatment. In this study, we aimed to use liquid biopsies to detect somatic mutations of GC patients and describe the mutational landscape of circulating tumor DNA. Methods: The blood samples of 157 Chinese patients with gastric malignancies were collected between 2018 to 2022. Somatic alterations were detected by either whole exome sequencing or high-depth targeted gene panel sequencing of ctDNA, using white blood cells as germline DNA control. Results: In our cohort, 1002 alterations of 323 genes were detected from plasma samples. We used MutSigCV tool to define the significantly mutated genes (SMG) and identified 16 SMG. Overall, the five most common mutated genes were TP53 (52.6%), LRP1B (15.4%), ARID1A(14.7%), SYNE1(12.2%), CDH1(10.9%). Recurrent mutations were identified in TP53 genes including c.524G > A, c.713G > T, which lead to loss of function of P53 protein according to evidence of clinical actionability from OncoKB (http://oncokb.org/). Genetic amplification of ERBB2 was detected in 8 patients (5.1%). 6 out of 95 samples were microsatellite instability (MSI), 3 were MSI-H and 3 were MSI-L.The median blood tumor mutation burden (bTMB) of all samples was 1.97 (range 0–143.51) mutations/Mb, 2 patients (1.27%) to high bTMB (≥ 20 mutations/Mb), 37 patients (23.57%) to intermediate bTMB (5-19 mutations/Mb), 118 patients (75.16%) to low bTMB ( < 5 mutations/Mb). The Co-occurrence and mutual exclusivity of gastric cancer variations was investigated. Mutually exclusive mutation patterns were observed in TP53-KRAS (p < 0.05), TP53-ARID1A (p < 0.05), TP53-CDH1 (p < 0.05) gene pairs. In addition, Gene Ontology (GO) and KEGG analysis were performed to analyze enrichment of somatic mutated genes and understand their biological function. The altered signaling pathway included PI3K−Akt signaling, MAPK signaling, Ras signaling, Rap1 signaling etc. 61 genes with somatic mutations were enriched to PI3K–Akt signaling pathway. Conclusions: In this study, we characterized the somatic mutational landscape of gastric cancer in 157 Chinese patients utilizing ctDNA which might guide clinical treatment.

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