Evidence map›Paper›PMID 31611986›Full record

ArticleOncology letters2019

Comprehensive analysis of genomic alterations detected by next-generation sequencing-based tissue and circulating tumor DNA assays in Chinese patients with non-small cell lung cancer.

Hua Yang, Junjie Zhang, Lemeng Zhang, Xiaoping Wen, Yongzhong Luo, Dingquan Yao, Tianli Cheng, Huanqing Cheng, Huina Wang, Feng Lou and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

14 authors at 2 institutions in 1 country.

Hua YangDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Junjie ZhangDepartment of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, P.R. China.
Lemeng ZhangDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Xiaoping WenDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Yongzhong LuoDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Dingquan YaoDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Tianli ChengDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Huanqing ChengAcornmed Biotechnology Co., Ltd., Beijing 100176, P.R. China.
Huina WangAcornmed Biotechnology Co., Ltd., Beijing 100176, P.R. China.
Feng LouAcornmed Biotechnology Co., Ltd., Beijing 100176, P.R. China.
Jing GuoAcornmed Biotechnology Co., Ltd., Beijing 100176, P.R. China.
Xiayuan LiangAcornmed Biotechnology Co., Ltd., Beijing 100176, P.R. China.
Shanbo CaoAcornmed Biotechnology Co., Ltd., Beijing 100176, P.R. China.
Jianhua ChenDepartment of Thoracic Internal Medicine, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya Medical School of Central South University, Changsha, Hunan 410013, P.R. China.
Central South University · CNHunan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While tumor genotyping is the standard treatment for patients with non-small cell lung cancer (NSCLC), spatial and temporal tumor heterogeneity and insufficient specimens can lead to limitations in the use of tissue-based sequencing. Circulating tumor DNA (ctDNA) fully encompasses tumor-specific sequence alterations and offers an alternative to tissue sample biopsies. However, few studies have evaluated whether the frequency of multiple genomic alterations observed following ctDNA sequencing is similar to that observed following tissue sequencing in NSCLC. Therefore, in the present study, targeted next-generation sequencing (NGS) was performed on tissue and plasma ctDNA samples in 99 patients with NSCLC. Overall, the frequencies of genetic alterations detected in ctDNA were positively correlated with those detected via tissue profiling (r=0.812; P=0.022). Genomic data revealed significant mutual exclusivity between alterations in epidermal growth factor receptor (EGFR) and tumor protein 53 (TP53; P=0.020), and between alterations in EGFR and KRAS (P=0.008), as well as potential mutual exclusivity between alterations in EGFR and Erb-B2 receptor tyrosine kinase 2 (P=0.059). Furthermore, the EGFR mutant allele frequency (MAF) was positively correlated with the TP53 MAF in individual tumors (r=0.773; P=0.005), and there was a marked difference in the EGFR MAF between patients with and without the TP53 mutation (P=0.001). Levels of the tumor serum marker CA242 in patients with ctDNA-detectable mutations were higher compared with those in patients without ctDNA-detectable mutations. The data from the present study highlight the importance of tissue and plasma ctDNA screening by NGS to guide personalized therapy and promote the clinical management of patients with NSCLC.

Indexed as

circulating tumor DNAnext-generation sequencingnon-small cell lung cancertargeted therapytissue

Identifiers

PMID31611986
PMCPMC6781496
OpenAlexW2971412695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.