Abstract

Stomach adenocarcinoma (STAD) is the major cancer worldwide with high morbidity and mortality rate. Late diagnosis and limited treatment options of STAD lead to disease progression, spread, and metastasis. Therefore, finding a new biomarker to diagnosis and treatment is very important for STAD in clinical practice. The clinical data, transcriptome data and CCLE data were downloaded from TCGA database and CCLE database, respectively. TIMER website, TISIDB website and CIBERSORT methodology were used to analyse immune infiltration. R software and R package were used to analyse gene difference expression, determine co-expression genes, conduct gene enrichment analyses, construct a prognostic signature and establish nomogram. MASP1 was decreased in STAD compared with normal tissue at the mRNA level (p < 0.001). The enrichment analysis showed that mismatch repair (MMR) was related to the MASP1 gene. Up-regulation of MAPS1 expression was positively associated with dendritic cells (p < 0.01), neutrophils (p < 0.05), macrophages (p < 0.001), CD4+ T cells (p < 0.001) and B cells (p < 0.05). A four-gene prognostic signature was determined based on MASP1-related immunomodulators. The prognostic signature was an independent prognostic predictor in STAD. Finally, we established a nomogram to forecast survival and the nomogram has a good prediction accuracy. In STAD, MASP1 is closely related to immunity. MASP1 has the potential to positively regulate the abundance of immune cells. The MASP1-related prognosis signature and nomogram can accurately predict the survival of patients with STAD. Therefore, MASP1 is likely to be a diagnosis and promising immunotherapy target spot in STAD clinical practice.

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