Evidence map›Paper›PMID 32962681›Full record

ArticleBMC cancer2020

Somatic mutation detection efficiency in EGFR: a comparison between high resolution melting analysis and Sanger sequencing.

Reenu Anne Joy, Sukrishna Kamalasanan Thelakkattusserry, Narendranath Vikkath, Renjitha Bhaskaran, Sajitha Krishnan, Damodaran Vasudevan, Prasanth S Ariyannur

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Reenu Anne JoyMolecular Oncology Diagnostics Laboratory, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, 682041, India.
Sukrishna Kamalasanan ThelakkattusserryMolecular Oncology Diagnostics Laboratory, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, 682041, India.
Narendranath VikkathMolecular Oncology Diagnostics Laboratory, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, 682041, India.
Renjitha BhaskaranDepartment of Biostatistics, Amrita School of Medicine, Amrita Vishwa Vidyapeetham, Kochi, 682041, India.
Sajitha KrishnanDepartment of Biochemistry, Amrita School of Medicine, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Ponekkara P.O., Kochi, Kerala, 682041, India.
Damodaran VasudevanMolecular Oncology Diagnostics Laboratory, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, 682041, India.
Prasanth S AriyannurMolecular Oncology Diagnostics Laboratory, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, 682041, India. prasanthas@aims.amrita.edu.ORCID https://orcid.org/0000-0003-0888-8094
Amrita Institute of Medical Sciences and Research Centre · INAmrita Vishwa Vidyapeetham · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh resolution melting curve analysis is a cost-effective rapid screening method for detection of somatic gene mutation. The performance characteristics of this technique has been explored previously, however, analytical parameters such as limit of detection of mutant allele fraction and total concentration of DNA, have not been addressed. The current study focuses on comparing the mutation detection efficiency of High-Resolution Melt Analysis (HRM) with Sanger Sequencing in somatic mutations of the EGFR gene in non-small cell lung cancer.

methodsThe minor allele fraction of somatic mutations was titrated against total DNA concentration using Sanger sequencing and HRM to determine the limit of detection. The mutant and wildtype allele fractions were validated by multiplex allele-specific real-time PCR. Somatic mutation detection efficiency, for exons 19 & 21 of the EGFR gene, was compared in 116 formalin fixed paraffin embedded tumor tissues, after screening 275 tumor tissues by Sanger sequencing.

resultsThe limit of detection of minor allele fraction of exon 19 mutation was 1% with sequencing, and 0.25% with HRM, whereas for exon 21 mutation, 0.25% MAF was detected using both methods. Multiplex allele-specific real-time PCR revealed that the wildtype DNA did not impede the amplification of mutant allele in mixed DNA assays. All mutation positive samples detected by Sanger sequencing, were also detected by HRM. About 28% cases in exon 19 and 40% in exon 21, detected as mutated in HRM, were not detected by sequencing. Overall, sensitivity and specificity of HRM were found to be 100 and 67% respectively, and the negative predictive value was 100%, while positive predictive value was 80%.

conclusionThe comparative series study suggests that HRM is a modest initial screening test for somatic mutation detection of EGFR, which must further be confirmed by Sanger sequencing. With the modification of annealing temperature of initial PCR, the limit of detection of Sanger sequencing can be improved.

Indexed as

MutationAllelesDNA Mutational AnalysisDNA, NeoplasmErbB ReceptorsExonsGenes, erbB-1HumansNeoplasmsNucleic Acid DenaturationProspective StudiesSequence Analysis, DNATemperatureDNA, NeoplasmEGFR protein, humanErbB ReceptorsAnalytical validationEGFRHigh resolution melting analysisLimit of detectionSanger sequencingSomatic mutation

Identifiers

PMID32962681
PMCPMC7510081
OpenAlexW3088834104

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.