Evidence map›Paper›PMID 40635223›Full record

ReviewCurrent molecular medicine2026

A Comparative Review of Methods for Detecting Epidermal Growth Factor Receptor Mutations in Cell-free DNA from Lung Cancer Patients.

Sepideh Shohani, Mahmood Barati, Arshad Hosseini

Abstract readReviewComparative Study
PubMed Publisher
In one paragraph

Review in Current molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sepideh ShohaniDepartment of Medical Biotechnology, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mahmood BaratiDepartment of Medical Biotechnology, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Arshad HosseiniDepartment of Medical Biotechnology, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer remains the leading cause of cancer-related mortality. Determining the T790M resistance variants and epidermal growth factor receptor (EGFR) mutations is crucial for personalized treatment, especially when using targeted therapies.

objectiveThis review article aims to comprehensively compare some of the various diagnostic techniques associated with liquid biopsies, such as cell-free DNA (cfDNA) for T790M and EGFR mutant identification. It also aims to evaluate their pertinence in clinical settings, as well as their sensitivity and specificity to determine how effectively they monitor treatment response and resistance.

methodsA literature search was conducted using databases including PubMed, Scopus, and Web of Science. The keyword list included "EGFR mutations," "T790M resistance," "liquid biopsy," "COLD PCR," "NGS," "ddPCR," "BEAMing," and other methods. The effect of these studies on diagnostic technologies for identifying EGFR mutations was assessed in terms of clinical practice, methodological accuracy, and significance. Sensitivity, specificity, clinical applicability, cost analysis, turnaround times, and ease of integration into clinical workflows were used as parameters for evaluation based on the literature.

resultsThere are advantages and disadvantages to cfDNA monitoring strategies for treatment response and resistance, as well as to the assessment of sensitivity, specificity, and clinical applicability for identifying EGFR mutations.

conclusionAdvanced techniques such as COLD-PCR, LC-MS, qPCR, NGS sequencing, Sanger sequencing, PNA microarrays, the Allele-Specific Competitive Extension (ASCE) real-time PCR assay, and nanopore technology are necessary for personalized lung cancer management. However, depending on the objective of the work, the suitable method should be selected based on its benefits and drawbacks.

Indexed as

Cell-Free Nucleic AcidsErbB ReceptorsLung NeoplasmsMutationBiomarkers, TumorDNA Mutational AnalysisDrug Resistance, NeoplasmHumansLiquid BiopsyBiomarkers, TumorCell-Free Nucleic AcidsEGFR protein, humanErbB ReceptorscfDNAEGFR mutationsliquid biopsyLung cancermutation detectionT790M resistance

Identifiers

PMID40635223

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