ArticleDiscover oncology2025
Molecular characterization of colorectal cancer (CRC) using next generation sequencing (NGS) in bridging the gap between research and clinical practice: from biomarker discovery to clinical implementation.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Analysis of PIK3CA mutation prevalence variation among colorectal cancer populations: a comprehensive review.Molecular biology reports · 2025Pooled it
- Exome Sequencing Identifies Variants in MLH1 and ERBB2 as Potential Cancer-Predisposing Factors in Familial Early-Onset Colorectal Cancer.The Kaohsiung journal of medical sciences · 2026Article
- Myokine-mediated mechanisms of immune checkpoint inhibitors-associated colorectal injury and repair in rectal cancer.Frontiers in immunology · 2026Review
- Development andTheranostics · 2026Article
- Methodological Comparison of Short-Read and Long-Read Sequencing Methods on Colorectal Cancer Samples.International journal of molecular sciences · 2025Article
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11 authors.
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Abstract
backgroundColorectal cancer (CRC) is the second most common cancer in men and third in females, a heterogeneous disease involving multistep mechanisms that represents 10% of all cancers globally. This study investigates gene mutation profiling in CRC using Next-Generation sequencing machine.
methodFormalin-fixed paraffin-embedded tissues of 30 CRC patients were retrieved and reviewed. DNA was isolated from selected tissues. Desirable quality check using Qubit and Nanoquant machine was done, and desirable libraries prepared were loaded into the sequencer for sequencing. Using Illumina BaseSpace and Illumina Variant interpreter, generated FastQ data were treated for annotation, alignment, and mapping with reference genome. Sequencing-runs with Phred-score ≥ 30 were selected as desirable runs. Finally, the variants were validated on NCBI-dsSNP and Ensembl databases for clinical consequence interpretations.
resultsOverall, patient distribution consists of 12(40%) females and 18 (60%) males with mean age (53.2 + 5.3). most patients were in TNM stage-3: 53.3% (15/30) and the least was Stage-4: 20%(6/30) respectively. Overall, 73.3%: (22/30) completed the sequencing, and 552 mutations involving 29 genes and 12 chromosomes were detected. The most upregulated variants are KIT:68(12.3%), FGFR4:61(11.1%), EGFR:60(10.9%), ALK:53(9.6%), DCUN1D1:41(7.4%), PDGFR:40(7.2%), KRAS:33(6.0%), CDK4:27(4.9%), FGFR3:26(4.7%), MTOR:14(2.6), while NRAS, CDK6, PIK3CA, and RET each has 13(2.4%) apiece. Chromosomes 4:134/55(24.2%), chr7:84/552(15.2%), chr12:71/552(12.9%), chr5:64/552(11.6%), chr2:61/552(11.1%), chr3:54/552(9.8%), and chr1:43/552(7.8%) are the most involved chromosomes. Nine genes (APC, NRAS, ALK, PIK3CA, KRAS, IDH1, FGFR1, ERBB2, and ESR1) are identified as pathogenic-causing variants in CRC.
conclusionThis is the first NGS-based molecular study on FFPE-CRC tissues in hospital-USM that showed the most upregulated variants in CRC and identified nine genes as crucial pathogenic variants.
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