ArticlePloS one2011
Detection of somatic mutations by high-resolution DNA melting (HRM) analysis in multiple cancers.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Diagnostic accuracy of high-resolution melting curve analysis for discrimination of oncology-associatedThe Journal of international medical research · 2025Pooled it
- Endometrial tumour BRAF mutations and MLH1 promoter methylation as predictors of germline mismatch repair gene mutation status: a literature review.Familial cancer · 2014Pooled it
- Association ofInternational journal of molecular sciences · 2024Article
- Novel Method for Detection of PIK3CA Mutations in Circulating Tumor DNA of Patients with Colorectal Cancer.Applied biochemistry and biotechnology · 2023Article
- Association of DNA Promoter Methylation andCurrent oncology (Toronto, Ont.) · 2023Article
- Levels of Genetic Variants Among Symptomatic Blastocystis Subtypes and their Relationship to Mucosal Immune Surveillance in the Precancerous Colons of Experimentally Infected Rats.Acta parasitologica · 2023Article
- Interaction between Microsatellite Instability (MSI) and Tumor DNA Methylation in the Pathogenesis of Colorectal Carcinoma.Cancers · 2021Article
- High-resolution melting effectively pre-screens for TP53 mutations before direct sequencing in patients with diffuse glioma.Human cell · 2021Article
- SLAM-MS: Mutation scanning of stem-loop amplicons with TaqMan probes by quantitative DNA melting analysis.Scientific reports · 2020Article
- Evaluation of PCR-HRM, RFLP, and direct sequencing as simple and cost-effective methods to detect common EGFR mutations in plasma cell-free DNA of non-small cell lung cancer patients.Cancer reports (Hoboken, N.J.) · 2019Observational
- Mutation profiling of anaplastic ependymoma grade III by Ion Proton next generation DNA sequencing.F1000Research · 2019Article
- Facile profiling of molecular heterogeneity by microfluidic digital melt.Science advances · 2018Article
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- Activation of the PI3K/AKT pathway correlates with prognosis in stage II colon cancer.British journal of cancer · 2014Article
- [High resolution melting curve method for detection of BIM deletion].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2014Article
- Detection of EGFR mutation in supernatant, cell pellets of pleural effusion and tumor tissues from non-small cell lung cancer patients by high resolution melting analysis and sequencing.International journal of clinical and experimental pathology · 2014Article
- SPOP mutations in prostate cancer across demographically diverse patient cohorts.Neoplasia (New York, N.Y.) · 2014Article
- Development of user-friendly functional molecular markers forMolecular breeding : new strategies in plant improvement · 2014Article
- High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.Pharmacogenomics · 2013Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
Identification of somatic mutations in cancer is a major goal for understanding and monitoring the events related to cancer initiation and progression. High resolution melting (HRM) curve analysis represents a fast, post-PCR high-throughput method for scanning somatic sequence alterations in target genes. The aim of this study was to assess the sensitivity and specificity of HRM analysis for tumor mutation screening in a range of tumor samples, which included 216 frozen pediatric small rounded blue-cell tumors as well as 180 paraffin-embedded tumors from breast, endometrial and ovarian cancers (60 of each). HRM analysis was performed in exons of the following candidate genes known to harbor established commonly observed mutations: PIK3CA, ERBB2, KRAS, TP53, EGFR, BRAF, GATA3, and FGFR3. Bi-directional sequencing analysis was used to determine the accuracy of the HRM analysis. For the 39 mutations observed in frozen samples, the sensitivity and specificity of HRM analysis were 97% and 87%, respectively. There were 67 mutation/variants in the paraffin-embedded samples, and the sensitivity and specificity for the HRM analysis were 88% and 80%, respectively. Paraffin-embedded samples require higher quantity of purified DNA for high performance. In summary, HRM analysis is a promising moderate-throughput screening test for mutations among known candidate genomic regions. Although the overall accuracy appears to be better in frozen specimens, somatic alterations were detected in DNA extracted from paraffin-embedded samples.
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