Evidence map›Paper›PMID 39421995›Full record

ArticleCurrent medicinal chemistry2025

Integrative Analysis Reveals Differential Characteristics of DDR1 Mutant and Wild-type Gastric Cancers and Constructs their Prediction Models.

Yonggang Tian, Yunqian Xie, Guirong Yi, FuBing Yu, Feihu Bai, Jun Wang, Dekui Zhang

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Article in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yonggang TianDepartment of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Yunqian XieThe Gastroenterology Clinical Medical Center of Hainan Province, Department of Gastroenterology, The Second Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, China.
Guirong YiDepartment of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
FuBing YuDepartment of Gastroenterology, Yunnan University Hospital, Kunming City, Yunnan Province, China.
Feihu BaiThe Gastroenterology Clinical Medical Center of Hainan Province, Department of Gastroenterology, The Second Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, China.
Jun WangDepartment of Gastroenterology, 986 Hospital, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi Province, China.
Dekui ZhangDepartment of Gastroenterology, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.

Funding

Hainan Province Clinical Medical Center 2021818Hainan Provincial Health Industry Research Project 22A200078Medical Innovation and Development Project of Lanzhou University lzuyxcx-2022-181Natural Science Foundation of Gansu Province 22JR11RA068The Innovation Platform for Academicians of Hainan Province 2022136
6 · The paper itself

Abstract

introductionThe molecular typing of gastric cancer by TCGA is significant for the precision treatment of gastric cancer. However, the molecular typing of gastric cancer by TCGA lacks the typing of the rare gene DDR1. Therefore, this study aimed to integrate the analysis to reveal the differential features of DDR1 mutant and wild-type gastric cancers and construct their prediction models.

methodsRNAseq data from 375 gastric cancer patients were downloaded from the TCGA database to comprehensively compare the differences between mutant DDR1 and wild-type DDR1 gastric cancers and construct a prognostic model for wild-type DDR1 gastric cancer.

resultsFirst, the mutation rate of DDR1 in gastric cancer was 3.23%. Second, the upregulated genes of mutant DDR1 gastric cancer were different from those of wild-type DDR1 gastric cancer in terms of KEGG and GO enrichment. Next, both mutant DDR1 gastric cancers and wild-type DDR1 gastric cancers were associated with EPIC scores and tumour stemness in macrophages. In addition, mutant DDR1 gastric cancers were associated with the iron death-related genes RPL8, CS, and FANCD2 and the m6A-related gene RBM15, compared with wild-type DDR1 gastric cancers. Finally, the established LASSO regression model confirmed that the survival rate of the high-risk group of wild-- type DDR1 gastric cancer would be lower than that of the low-risk group.

conclusionThis study may provide a new molecular typing method for gastric cancer by comparing the differences between mutant DDR1 and wild-type DDR1 gastric cancer.

Indexed as

Discoidin Domain Receptor 1MutationStomach NeoplasmsHumansPrognosisDDR1 protein, humanDiscoidin Domain Receptor 1DDR1ferroptosisGastric cancergene mutationimmune checkpointimmune scoreprognostic model.tumor stemness

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.