Evidence map›Paper›PMID 36310733›Full record

ArticleClinical Medicine Insights. Oncology2022

Concordance of Genomic Profiles in Matched Tissue and Plasma Samples From Chinese Patients With Lung Cancer.

Yueming He, Weifeng Guo, Meng Xu, Junling Huang, Xiange Zhang, Huanzhang Su, Dongxia Hong, Qun Liu

Abstract read
In one paragraph

Article in Clinical Medicine Insights. Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Yueming HeDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Weifeng GuoDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Meng XuDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Junling HuangDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Xiange ZhangDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Huanzhang SuDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Dongxia HongDepartment of Respiratory Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Qun LiuDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-7209-2317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Next-generation sequencing (NGS) has been widely used to identify targetable variants for patients with solid tumors, especially lung cancer. Circulating tumor DNA (ctDNA) has emerged as an alternative approach for tumor biopsy. However, the feasibility of ctDNA in detecting molecular variants remains debatable. Methods: Herein, we performed NGS on matched tissue and plasma samples from 146 Chinese patients with lung cancer. The concordance of variants between tissue and plasma samples was explored at patient and variant levels. Results: More than 80% of patients harbored at least one concordant variant in tissue and plasma samples. A total of 506 variants were shared between tissue and plasma samples, and 432 variants were identified in tissue only and 92 variants were identified in plasma only. The sensitivity and positive predictive value (PPV) of all variants detected in plasma were 53.9% and 84.6%, respectively. High concordance was observed in several driver genes. In details, epidermal growth factor receptor exon 19 deletion ( Conclusions: Our work provided the clinical evidence of feasibility of ctDNA-based NGS in guiding decision-making in treatment. ctDNA-based NGA could be a reliable alternative approach for tissue biopsy in patients with lung cancer.

Indexed as

driver geneliquid biopsyNon-small cell lung cancertargeted sequencing

Identifiers

PMID36310733
PMCPMC9597027

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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.