Evidence map›Paper›PMID 26448936›Full record

ReviewBioMed research international2015

The Emergent Landscape of Detecting EGFR Mutations Using Circulating Tumor DNA in Lung Cancer.

Wei-Lun Huang, Fang Wei, David T Wong, Chien-Chung Lin, Wu-Chou Su

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Review
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  4. Review
  5. Article
  6. Review
  7. Article
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

5 authors.

Wei-Lun HuangDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No. 138, Shengli Road, North District, Tainan City 704, Taiwan ; Institute of Oral Medicine, College of Medicine, National Cheng Kung University, No. 1, University Road, East District, Tainan City 704, Taiwan.
Fang WeiUCLA School of Dentistry, 10833 Le Conte, CHS-Box 951668, Los Angeles, CA 90095-1668, USA.
David T WongUCLA School of Dentistry, 10833 Le Conte, CHS-Box 951668, Los Angeles, CA 90095-1668, USA.
Chien-Chung LinDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No. 138, Shengli Road, North District, Tainan City 704, Taiwan ; Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No. 35, Xiaodong Road, North District, Tainan City 704, Taiwan.
Wu-Chou SuDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No. 138, Shengli Road, North District, Tainan City 704, Taiwan ; Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No. 35, Xiaodong Road, North District, Tainan City 704, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advances in targeted therapies for lung cancer are based on the evaluation of specific gene mutations especially the epidermal growth factor receptor (EGFR). The assays largely depend on the acquisition of tumor tissue via biopsy before the initiation of therapy or after the onset of acquired resistance. However, the limitations of tissue biopsy including tumor heterogeneity and insufficient tissues for molecular testing are impotent clinical obstacles for mutation analysis and lung cancer treatment. Due to the invasive procedure of tissue biopsy and the progressive development of drug-resistant EGFR mutations, the effective initial detection and continuous monitoring of EGFR mutations are still unmet requirements. Circulating tumor DNA (ctDNA) detection is a promising biomarker for noninvasive assessment of cancer burden. Recent advancement of sensitive techniques in detecting EGFR mutations using ctDNA enables a broad range of clinical applications, including early detection of disease, prediction of treatment responses, and disease progression. This review not only introduces the biology and clinical implementations of ctDNA but also includes the updating information of recent advancement of techniques for detecting EGFR mutation using ctDNA in lung cancer.

Indexed as

DNA, NeoplasmLung NeoplasmsMutationAnimalsDNA Mutational AnalysisErbB ReceptorsHumansDNA, NeoplasmEGFR protein, humanErbB Receptors

Identifiers

PMID26448936
PMCPMC4584057

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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.