ArticleMolecular medicine reports2016
Quantitative analysis of gene expression in fixed colorectal carcinoma samples as a method for biomarker validation.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Analysis of exportins expression unveils their prognostic significance in colon adenocarcinoma: insights from public databases.Discover oncology · 2025Article
- The effect of genetic variants of SLC22A18 on proliferation, migration, and invasion of colon cancer cells.Scientific reports · 2024Article
- Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.Medical oncology (Northwood, London, England) · 2021Article
- Differential Expression Analysis Revealing CLCA1 to Be a Prognostic and Diagnostic Biomarker for Colorectal Cancer.Frontiers in oncology · 2020Article
- KPNA2-Associated Immune Analyses Highlight the Dysregulation and Prognostic Effects of GRB2, NRAS, and Their RNA-Binding Proteins in Hepatocellular Carcinoma.Frontiers in genetics · 2020Article
- Identification of Tumorigenic and Prognostic Biomarkers in Colorectal Cancer Based on microRNA Expression Profiles.BioMed research international · 2020Article
- Identification of a Novel Tumor Microenvironment-Associated Eight-Gene Signature for Prognosis Prediction in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2020Article
- Calcium-activated chloride channel regulator 1 (CLCA1): More than a regulator of chloride transport and mucus production.The World Allergy Organization journal · 2019Article
- The transcriptome difference between colorectal tumor and normal tissues revealed by single-cell sequencing.Journal of Cancer · 2019Article
- Solute carrier transporters: potential targets for digestive system neoplasms.Cancer management and research · 2018Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomarkers have been described as the future of oncology. Modern proteomics provide an invaluable tool for the near‑whole proteome screening for proteins expressed differently in neoplastic vs. healthy tissues. However, in order to select the most promising biomarkers, an independent method of validation is required. The aim of the current study was to propose a methodology for the validation of biomarkers. Due to material availability the majority of large scale biomarker studies are performed using formalin‑fixed paraffin‑embedded (FFPE) tissues, therefore these were selected for use in the current study. A total of 10 genes were selected from what have been previously described as the most promising candidate biomarkers, and the expression levels were analyzed with reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) using calibrator normalized relative quantification with the efficiency correction. For 6/10 analyzed genes, the results were consistent with the proteomic data; for the remaining four genes, the results were inconclusive. The upregulation of karyopherin α 2 (KPNA2) and chromosome segregation 1‑like (CSE1L) in colorectal carcinoma, in addition to downregulation of chloride channel accessory 1 (CLCA1), fatty acid binding protein 1 (FABP1), sodium channel, voltage gated, type VII α subunit (SCN7A) and solute carrier family 26 (anion exchanger), member 3 (SLC26A3) was confirmed. With the combined use of proteomic and genetic tools, it was reported, for the first time to the best of our knowledge, that SCN7A was downregulated in colorectal carcinoma at mRNA and protein levels. It had been previously suggested that the remaining five genes served an important role in colorectal carcinogenesis, however the current study provided strong evidence to support their use as biomarkers. Thus, it was concluded that combination of RT‑qPCR with proteomics offers a powerful methodology for biomarker identification, which can be used to analyze FFPE samples.
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