Evidence map›Paper›PMID 37186065›Full record

ArticleJournal of cancer research and clinical oncology2023

Genomic profiling of NGS-based ctDNA from Chinese non-small cell lung cancer patients.

Yanfeng Xi, Zhongyuan Bai, Sihang Gao, Jianghong Guo, Zhen Zhang, Hongling Zhang, Li Qu, Bing Xu, Weiwei Wang, Guangyu Shan and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. 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
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

13 authors at 2 institutions in 1 country.

Yanfeng Xi *Department of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China.
Zhongyuan Bai *First Clinical Medical School, Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
Sihang Gao *Department of Bioinformatics, Beijing USCI Medical Devices Co., Ltd., Beijing, 102699, China.
Jianghong GuoDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China.
Zhen ZhangDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China.
Hongling ZhangDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China.
Li QuDepartment of Bioinformatics, Beijing USCI Medical Devices Co., Ltd., Beijing, 102699, China.
Bing XuDepartment of Bioinformatics, Beijing USCI Medical Devices Co., Ltd., Beijing, 102699, China.
Weiwei WangDepartment of Bioinformatics, Beijing USCI Medical Devices Co., Ltd., Beijing, 102699, China.
Guangyu ShanDepartment of Bioinformatics, Beijing USCI Medical Devices Co., Ltd., Beijing, 102699, China.
Wei CuiDepartment of Pathology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China. weicui929@163.com.ORCID http://orcid.org/0009-0009-1046-4910
Wenqi BaiDepartment of Colorectal Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China. 326498302@qq.com.ORCID http://orcid.org/0009-0008-1456-7792
Xiaoyong JiDepartment of Bioinformatics, Beijing USCI Medical Devices Co., Ltd., Beijing, 102699, China. xiaoyongji@usci-ivd.cn.ORCID http://orcid.org/0009-0006-3445-1696
Shanxi Medical University · CNBeijing VDJBio (China) · CN

Funding

"Four Batches" of the Science And Technology Innovation Plan of Shanxi Provincial Health Commission No. 2020TD07
6 · The paper itself

Abstract

purposeCell-free circulating tumor DNA (ctDNA) in plasma enables rapid and repeat testing of actionable mutations. Next-generation sequencing (NGS) is an attractive platform for multiplex sequencing capabilities compared to traditional methods such as PCR. The purpose of this study is to evaluate the value of the NGS-based ctDNA assay and to identify the genomic alteration profile of ctDNA in real-world Chinese non-small cell lung (NSCLC) patients.

methodsIn total, 294 Chinese patients with pathological diagnosis of Phase III-IV NSCLC were enrolled. 3-4 mL peripheral blood was collected and NGS-based analysis was carried out using a 20-gene panel. The analytical sensitivity and specificity of ctDNA NGS-based assay was validated using droplet digital PCR (ddPCR).

resultsWe have tested 570 sites from 286 samples using ddPCR, which included 108 positive sites and 462 negative sites from NGS results, and the concordance rate was 99.8% (418/419) for single-nucleotide variants (SNVs) and 96.7% (146/151) for insertions and deletions (InDels). The most frequent genes were TP53 (32%), EGFR (31.97%), KRAS (6.46%), PIK3CA (4.76%), and MET (4.08%). Exon 19 deletion (19del) was the most common alteration in EGFR and G12C was the most common alteration in KRAS. Furthermore, the detection rate of TP53 was higher in the male and patients with squamous cell carcinoma. We also found the prevalence of TP53 in L858R was higher than in 19del (61.29% vs. 40%; p = 0.1115).

conclusionThe results indicate that the results of NGS-based ctDNA assay are highly consistent with ddPCR. In Chinese NSCLC patients, TP53 mutation was more frequently associated with male and squamous cell carcinoma. The prevalence of concomitant mutations in L858R may be different from that in 19del.

Indexed as

Carcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCirculating Tumor DNALung NeoplasmsBiomarkers, TumorEast Asian PeopleErbB ReceptorsFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMaleMutationProto-Oncogene Proteins p21(ras)Biomarkers, TumorCirculating Tumor DNAErbB ReceptorsProto-Oncogene Proteins p21(ras)Circulating tumor DNADroplet digital PCRNext-generation sequencingNon-small cell lung cancer

Identifiers

PMID37186065
PMCPMC11797347
OpenAlexW4366981203

What OpenQuestion holds

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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.