Evidence map›Paper›PMID 36530081›Full record

ArticleCancer biomarkers : section A of Disease markers2023

Clinical correlations with EGFR circulating tumor DNA testing in all-stage lung adenocarcinoma.

Pimpin Incharoen, Artit Jinawath, Lalida Arsa, Kaettipong Kamprerasart, Narumol Trachu, Nanamon Monnamo, Khantong Khiewngam, Dittapol Muntham, Phichai Chansriwong, Ekaphop Sirachainan and 1 more

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
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

11 authors at 3 institutions in 1 country.

Pimpin IncharoenDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Artit JinawathDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Lalida ArsaDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Kaettipong KamprerasartDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Narumol TrachuResearch Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Nanamon MonnamoResearch Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Khantong KhiewngamDepartment of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Dittapol MunthamDepartment of Mathematics, Faculty of Science and Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi, Thailand.
Phichai ChansriwongDivision of Medical Oncology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Ekaphop SirachainanDivision of Medical Oncology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Thanyanan ReungwetwattanaDivision of Medical Oncology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Mahidol University · THRamathibodi Hospital · THRajamangala University of Technology Isan · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation on genetic alterations, notably EGFR mutations, is important for guiding non-small-cell lung cancer (NSCLC) treatment. Circulating tumor DNA (ctDNA) analysis represents a less invasive alternative to tissue biopsy for analyzing mutation status, but its clinical value may vary across disease stages.

objectiveTo explore clinical correlates of ctDNA and tissue/plasma-based EGFR mutation (EGFRm) status across all NSCLC stages.

methodsNinety patients were analyzed, representing three cohorts: newly-diagnosed early-stage, advanced-stage, and recurrent NSCLC. Relationships among clinical/surgical parameters, ctDNA, EGFRm status, and survival outcomes were analyzed.

resultsPlasma/tissue EGFRm concordance was lower in early-stage (58.6%) than in advanced-stage patients (87.5%). In early-stage patients, ctDNA levels were variable and not significantly associated with clinical/surgical parameters. In advanced-stage patients, time to EGFR-TKI treatment failure (TTF), but not overall survival (OS), was significantly longer in EGFRm-positive vs. EGFRm-negative patients. In patients with recurrent disease, 40% of plasma samples were EGFRT790M-positive at recurrence. In T790M-positive patients, we noted slight trends toward longer OS with vs. without osimertinib treatment and longer OS and TTF with second-line vs. later-line osimertinib.

conclusionsOur results affirm the use of ctDNA testing in advanced-stage and recurrent NSCLC. Further studies on osimertinib as early-line therapy, clinical correlates and the utility of plasma-based testing in early-stage NSCLC are warranted.

Indexed as

Adenocarcinoma of LungAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCirculating Tumor DNALung NeoplasmsAcrylamidesAniline CompoundsErbB ReceptorsHumansIndolesMutationNeoplasm Recurrence, LocalProtein Kinase InhibitorsPyrimidinesAcrylamidesAniline CompoundsAntineoplastic AgentsCirculating Tumor DNAEGFR protein, humanErbB ReceptorsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesCirculating tumor DNAmutationosimertinibpulmonary adenocarcinoma

Identifiers

PMID36530081
PMCPMC12412792
OpenAlexW4311343405

What OpenQuestion holds

Textmetadata
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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.