ArticleOncology letters2019
HTR1D, TIMP1, SERPINE1, MMP3 and CNR2 affect the survival of patients with colon adenocarcinoma.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 37 citations in OpenAlex.
- HTR1D regulates the PI3K/Akt signaling pathway to impact hepatocellular carcinoma development and resistance to sorafenib.BMC cancer · 2025Article
- Bacteroides ovatus-derived N-methylserotonin inhibit colorectal cancer via the HTR1D-mediated cAMP-PKA-NF-κB signaling axis.Frontiers in immunology · 2025Article
- Article
- The synergism of SMC1A cohesin gene silencing and bevacizumab against colorectal cancer.Journal of experimental & clinical cancer research : CR · 2024Article
- Developing a prognosis and chemotherapy evaluating model for colon adenocarcinoma based on mitotic catastrophe-related genes.Scientific reports · 2024Article
- Leveraging diverse cell-death patterns to predict the prognosis, immunotherapy and drug sensitivity of clear cell renal cell carcinoma.Scientific reports · 2023Article
- Computational prognostic evaluation of Alzheimer's drugs from FDA-approved database through structural conformational dynamics and drug repositioning approaches.Scientific reports · 2023Article
- Network pharmacology and bioinformatics were used to construct a prognostic model and immunoassay of core target genes in the combination of quercetin and kaempferol in the treatment of colorectal cancer.Journal of Cancer · 2023Article
- An epithelial-mesenchymal transition-related mRNA signature associated with the prognosis, immune infiltration and therapeutic response of colon adenocarcinoma.Pathology oncology research : POR · 2023Article
- Complement C5 is a novel biomarker for liver metastasis of colorectal cancer.Journal of gastrointestinal oncology · 2022Article
- Cancer-associated stroma reveals prognostic biomarkers and novel insights into the tumour microenvironment of colorectal cancer and colorectal liver metastases.Cancer medicine · 2022Article
- Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis.Chinese medicine · 2021Article
- Association of Breast Tumour Expression of Cannabinoid Receptors CBR1 and CBR2 with Prognostic Factors and Survival in Breast Cancer Patients.Journal of personalized medicine · 2021Article
- Circ-GALNT16 restrains colorectal cancer progression by enhancing the SUMOylation of hnRNPK.Journal of experimental & clinical cancer research : CR · 2021Article
- Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer.Scientific reports · 2021Article
- Article
- Unraveling the Molecular Nexus between GPCRs, ERS, and EMT.Mediators of inflammation · 2021Review
- The underlying molecular mechanism and drugs for treatment in adrenal cortical carcinoma.International journal of medical sciences · 2021Article
- Identification of an extracellular vesicle-related gene signature in the prediction of pancreatic cancer clinical prognosis.Bioscience reports · 2020Article
- Identification and verification of three key genes associated with survival and prognosis of COAD patients via integrated bioinformatics analysis.Bioscience reports · 2020Observational
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is a tumor that derives from the rectum or colon, and colon adenocarcinoma (COAD) is the most common type of CRC. The present study was performed to identify genes that serve critical roles in the survival of patients with COAD. RNA-sequencing data of COAD was extracted from The Cancer Genome Atlas database, which included 480 tumor samples and 41 normal samples. Using the limma package, differential expression analysis was performed to identify the differentially expressed genes (DEGs). In addition, the potential functions and pathways for the identified DEGs were analyzed using the clusterProfiler package. After the samples were divided into high and low expression groups, survival analysis for the two groups was performed using the Kaplan-Meier model. Using Cytoscape software, a protein-protein interaction network was generated for the survival-associated genes. A total of 1,519 DEGs, including 568 upregulated genes and 951 downregulated genes, were identified in the COAD samples. Enrichment analysis suggested that the DEGs were implicated in numerous functional terms and pathways. Furthermore, 109 DEGs were identified to be survival-associated genes in COAD. According to the degrees of the network nodes, 5-hydroxytryptamine receptor 1D (HTR1D), TIMP metallopeptidase inhibitor 1 (TIMP1), serpin family E member 1 (SERPINE1), matrix metallopeptidase 3 (MMP3) and cannabinoid receptor 2 (CNR2) were key nodes, and the expression levels of these genes were analyzed in clinical samples of CRC. Therefore, the results of the present study suggest HTR1D, TIMP1, SERPINE1, MMP3 and CNR2 may affect the prognosis of patients with COAD.
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