ArticleBMC cancer2021
Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
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- Integration of aged brain multi-omics reveals cross-system mechanisms underlying Alzheimer's disease heterogeneity.bioRxiv : the preprint server for biology · 2025Article
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- Multi Omics Applications in Biological Systems.Current issues in molecular biology · 2024Review
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- Construction of an immune-related risk score signature for gastric cancer based on multi-omics data.Scientific reports · 2024Article
- Methods for multi-omic data integration in cancer research.Frontiers in genetics · 2024Review
- DNA methylation biomarkers distinguishing early-stage prostate cancer from benign prostatic hyperplasia.Prostate international · 2023Article
- The characteristics and clinical relevance of tumor fusion burden in non-EBV (+) gastric cancer with MSS.BMC gastroenterology · 2023Article
- Advances of Epigenetic Biomarkers and Epigenome Editing for Early Diagnosis in Breast Cancer.International journal of molecular sciences · 2022Review
- Transcriptomic data analysis coupled with copy number aberrations reveals a blood-based 17-gene signature for diagnosis and prognosis of patients with colorectal cancer.Frontiers in genetics · 2022Article
- Signature and Molecular Mechanism of Mitochondrial Energy Metabolism Pathway-Related Genes in Lung Adenocarcinoma.Disease markers · 2022Article
- Regulatory role of the transforming growth factor-β signaling pathway in the drug resistance of gastrointestinal cancers.World journal of gastrointestinal oncology · 2021Review
- CT-detected extramural venous invasion-related gene signature for the overall survival prediction in patients with gastric cancer.Cancer medicine · 2021Article
- Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGastric cancer is a fatal gastrointestinal cancer with high morbidity and poor prognosis. The dismal 5-year survival rate warrants reliable biomarkers to assess and improve the prognosis of gastric cancer. Distinguishing driver mutations that are required for the cancer phenotype from passenger mutations poses a formidable challenge for cancer genomics.
methodsWe integrated the multi-omics data of 293 primary gastric cancer patients from The Cancer Genome Atlas (TCGA) to identify key driver genes by establishing a prognostic model of the patients. Analyzing both copy number alteration and somatic mutation data helped us to comprehensively reveal molecular markers of genomic variation. Integrating the transcription level of genes provided a unique perspective for us to discover dysregulated factors in transcriptional regulation.
resultsWe comprehensively identified 31 molecular markers of genomic variation. For instance, the copy number alteration of WASHC5 (also known as KIAA0196) frequently occurred in gastric cancer patients, which cannot be discovered using traditional methods based on significant mutations. Furthermore, we revealed that several dysregulation factors played a hub regulatory role in the process of biological metabolism based on dysregulation networks. Cancer hallmark and functional enrichment analysis showed that these key driver (KD) genes played a vital role in regulating programmed cell death. The drug response patterns and transcriptional signatures of KD genes reflected their clinical application value.
conclusionsThese findings indicated that KD genes could serve as novel prognostic biomarkers for further research on the pathogenesis of gastric cancers. Our study elucidated a multidimensional and comprehensive genomic landscape and highlighted the molecular complexity of GC.
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