Evidence map›Paper›PMID 31739500›Full record

ArticleGenes2019

CNV Detection from Circulating Tumor DNA in Late Stage Non-Small Cell Lung Cancer Patients.

Hao Peng, Lan Lu, Zisong Zhou, Jian Liu, Dadong Zhang, Kejun Nan, Xiaochen Zhao, Fugen Li, Lei Tian, Hua Dong and 1 more

Abstract readValidation Study
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Circulating tumor DNA predicts clinical benefits of immune checkpoint blockade in HER2-negative patients with advanced gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
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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

11 authors.

Hao PengDepartment of Clinical Medicine, Kunming University of Science and Technology, Yunnan 650093, China.
Lan LuNational Cancer Center, National Clinical Research Center for Cancer, Shenzhen 518116, China.
Zisong ZhouThe Bioinformatics Department, 3D Medicines Inc., Shanghai 201114, China.
Jian LiuDepartment of Clinical Medicine, Guangzhou Medical University, Guangzhou 511436, China.
Dadong ZhangThe Translational Medicine Department, 3D Medicines Inc., Shanghai 201114, China.
Kejun NanDepartment of Medical Oncology, Xi'an Jiaotong University, Shaanxi 710061, China.
Xiaochen ZhaoThe Medical Department, 3D Medicines Inc., Shanghai 201114, China.ORCID 0000-0002-6603-257X
Fugen LiThe Bioinformatics Department, 3D Medicines Inc., Shanghai 201114, China.
Lei TianDepartment of Thoracic Surgery Clinical Colleage, Chongqing Medical University, Chongqing 400016, China.
Hua DongThe Bioinformatics Department, 3D Medicines Inc., Shanghai 201114, China.ORCID 0000-0003-4265-5702
Yu YaoDepartment of Medical Oncology, Xi'an Jiaotong University, Shaanxi 710061, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While methods for detecting SNVs and indels in circulating tumor DNA (ctDNA) with hybridization capture-based next-generation sequencing (NGS) have been available, copy number variations (CNVs) detection is more challenging. Here, we present a method enabling CNV detection from a 150-gene panel using a very low amount of ctDNA. First, a read depth-based CNV estimation method without a paired blood sample was developed and cfDNA sequencing data from healthy people were used to build a panel of normal (PoN) model. Then, in silico and in vitro simulations were performed to define the limit of detection (LOD) for EGFR, ERBB2, and MET. Compared to the WES results of the 48 samples, the concordance rate for EGFR, ERBB2, and MET CNVs was 78%, 89.6%, and 92.4%, respectively. In another cohort profiled with the 150-gene panel from 5980 lung cancer ctDNA samples, we detected the three genes' amplification with comparable population frequency with other cohorts. One lung adenocarcinoma patient with MET amplification detected by our method reached partial response to crizotinib. These findings show that our ctDNA CNV detection pipeline can detect CNVs with high specificity and concordance, which enables CNV calling in a non-invasive way for cancer patients when tissues are not available.

Indexed as

DNA Copy Number VariationsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCell Line, TumorCirculating Tumor DNAClonal EvolutionCohort StudiesComputer SimulationCrizotinibDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesErbB ReceptorsExome SequencingFemaleGene AmplificationGenetic TestingAntineoplastic AgentsCirculating Tumor DNACrizotinibEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsMET protein, humanProto-Oncogene Proteins c-metcirculating tumor DNAcopy number variationsnon-small cell lung cancertargeted sequencing

Identifiers

PMID31739500
PMCPMC6895974

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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.