Evidence map›Paper›PMID 39775010›Full record

ArticleScientific reports2025

Comparative analysis of EGFR mutations in circulating tumor DNA and primary tumor tissues from lung cancer patients using BEAMing PCR.

Duhita Mirikar, Nandini Banerjee, Kumar Prabhash, Rajiv Kumar Kaushal, Vanita Naronha, C S Pramesh, George Karimundackal, Amit Joshi, Swapnil Rane, Ranjan Basak

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Applications of circulating tumor DNA in unresectable and advanced non-small cell lung cancer immunotherapy: from stratification to therapeutic guidance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

10 authors.

Duhita Mirikar *Translational Research Laboratory, Advanced Centre for Treatment, Research & Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Nandini Banerjee *Translational Research Laboratory, Advanced Centre for Treatment, Research & Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Kumar PrabhashDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai, India.
Rajiv Kumar KaushalDepartment of Pathology, Tata Memorial Hospital, Parel, Mumbai, India.
Vanita NaronhaDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai, India.
C S PrameshDepartment of Surgical Oncology, Tata Memorial Hospital, Parel, Mumbai, India.
George KarimundackalDepartment of Surgical Oncology, Tata Memorial Hospital, Parel, Mumbai, India.
Amit JoshiDepartment of Medical Oncology, Tata Memorial Hospital, Parel, Mumbai, India.
Swapnil RaneDepartment of Pathology, Tata Memorial Hospital, Parel, Mumbai, India.
Ranjan BasakTranslational Research Laboratory, Advanced Centre for Treatment, Research & Education in Cancer, Tata Memorial Centre, Navi Mumbai, India. rb_tju@yahoo.com.ORCID 0009-0007-3807-1858

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR10867/MED/30/1419/2014Tata Memorial Centre 900117
6 · The paper itself

Abstract

In this study, we measured human epidermal growth factor receptor (EGFR) mutations in both tissue and circulating tumor DNA (ctDNA) by using beads, emulsions, amplifications and magnetic polymerase chain reaction (BEAMing PCR). Noninvasive mutation detection by assessing circulating tumor DNA (ctDNA) offers many advantages over tumor biopsy. One hundred non-small cell lung cancer (NSCLC) patients were enrolled, and both preoperative plasma samples and formalin-fixed and paraffin-embedded (FFPE) samples were collected for the study. The EGFR mutation status was determined by BEAMing PCR in ctDNA. Real-time quantitative PCR (qPCR) data were collected from our hospital database (EMR-qPCR, Electronic Medical Records) for comparative analysis. Additionally, qPCR was also performed on FFPE tissues using a Diatech EGFR qPCR kit. The concordance rates were 98.8%, 98.9% and 95.5% for exons 19, 20 and 21, respectively, when the BEAMing data were compared with the EMR-qPCR data. Additionally, when the BEAMing and Diatech qPCR data were compared, 90%, 100%, 96% and 98% of the genes were obtained for exons 19, 20, 21 (L858R) and 21 (L861Q), respectively. For both comparisons, Cohen's kappa agreement was significant. The advantage of BEAMing is its ability to identify mutated DNA sequences in cancer cells in the background of normal cell DNA contamination. This could be useful for disease monitoring and progression.

Indexed as

Carcinoma, Non-Small-Cell LungCirculating Tumor DNAErbB ReceptorsLung NeoplasmsMutationAdultAgedAged, 80 and overBiomarkers, TumorDNA Mutational AnalysisFemaleHumansMaleMiddle AgedReal-Time Polymerase Chain ReactionBiomarkers, TumorCirculating Tumor DNAEGFR protein, humanErbB ReceptorsBEAMingctDNAEGFRNSCLCqPCR

Identifiers

PMID39775010
PMCPMC11707337

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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.