ArticleCancer gene therapy2015
Identification of commonly dysregulated genes in colorectal cancer by integrating analysis of RNA-Seq data and qRT-PCR validation.
Article in Cancer gene therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 39 citations in OpenAlex.
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- Molecular mechanism of CD163Annals of translational medicine · 2022Article
- Impact of neoadjuvant chemotherapy on somatic mutation status in high-grade serous ovarian carcinoma.Journal of ovarian research · 2022Article
- ADAMTS6: Emerging roles in cardiovascular, musculoskeletal and cancer biology.Frontiers in molecular biosciences · 2022Review
- Defining the combined stress response in wild Arachis.Scientific reports · 2021Article
- Identified a disintegrin and metalloproteinase with thrombospondin motifs 6 serve as a novel gastric cancer prognostic biomarker by bioinformatics analysis.Bioscience reports · 2021Article
- Gallbladder Adenosquamous Cancer with Situs Inversus Totalis: A Case Report and Literature Review.OncoTargets and therapy · 2021Article
- The clinicopathological significance and predictive value for immunotherapy of programmed death ligand-1 expression in Epstein-Barr virus-associated gastric cancer.Oncoimmunology · 2021Article
- A metalloproteinase of the disintegrin and metalloproteinases and the ThromboSpondin Motifs 6 as a novel marker for colon cancer: functional experiments.Genetics and molecular biology · 2020Article
- Prognostic Values for the mRNA Expression of the ADAMTS Family of Genes in Gastric Cancer.Journal of oncology · 2020Article
- Somatic mutation of DNAH genes implicated higher chemotherapy response rate in gastric adenocarcinoma patients.Journal of translational medicine · 2019Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The progression of colorectal cancer (CRC) is a multistep process and metastatic CRC is always incurable; consequently, CRC is the leading cause of cancer-related deaths. There is therefore an urgent need for identifying useful biomarkers with enough sensitivity and specificity to detect this disease at early stages, which will significantly reduce the mortality for this malignancy. In this study, we performed an integrating analysis of different RNA-Seq data sets to find new candidate biomarkers for diagnosis, prognosis and as therapeutic targets for this malignancy, as well as to elucidate the molecular mechanisms of CRC carcinogenesis. We identified 883 differentially expressed genes (DEGs) across the studies between CRC and normal control (NC) tissues by combining five RNA-Seq data sets. Gene function analysis revealed high correlation with carcinogenesis. The top 10 most significantly DEGs were further evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) in both rectal cancer (RC) and colon cancer (CC), and the results matched well with integrating data, suggesting that the method of integrating analysis of different RNA-seq data sets is acceptable. Therefore, integrating analysis of different RNA-seq data sets may be a useful way to overcome the limitation of small sample size in a single RNA-seq study. In addition, our study showed that some genes, such as SIM2, ADAMTS6, FOXD4L4 and DNAH5, may have an important role in the development of CRC, which could be applied for diagnosis, prognosis and as therapy for this malignancy. Our findings would also help to understand the pathology of CRC.
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