Evidence map›Paper›PMID 30779318›Full record

ArticleThoracic cancer2019

Malignant pleural effusion supernatant is an alternative liquid biopsy specimen for comprehensive mutational profiling.

Zhihua Guo, Zhanhong Xie, Huifang Shi, Wei Du, Lijun Peng, Wei Han, Feidie Duan, Xin Zhang, Mingyan Chen, Junli Duan and 6 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 46 citations in OpenAlex.

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  13. [Role and Significance of Bioactive Substances in Sputum
 in the Diagnosis of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
    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

16 authors at 4 institutions in 1 country.

Zhihua GuoDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhanhong XieDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Huifang ShiDepartment of Respiratory Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
Wei DuGeneral Hospital of Southern Theater Command, PLA, Guangzhou, China.
Lijun PengGeneral Hospital of Southern Theater Command, PLA, Guangzhou, China.
Wei HanBurning Rock Biotech, Guangzhou, China.
Feidie DuanDepartment of Respiratory Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
Xin ZhangDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Mingyan ChenBurning Rock Biotech, Guangzhou, China.
Junli DuanBurning Rock Biotech, Guangzhou, China.
Jing LinBurning Rock Biotech, Guangzhou, China.
Xuewei ChenDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Analyn Ang LizasoBurning Rock Biotech, Guangzhou, China.
Han Han-ZhangBurning Rock Biotech, Guangzhou, China.
Jianxing HeDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Weiqiang YinDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID 0000-0002-0335-7043
Burning Rock Biotech (China) · CNNational Clinical Research Center for Digestive Diseases · CNGeneral Hospital of Guangzhou Military Command · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical utility of malignant pleural effusion (MPE) to detect mutation has been well documented; however, routine practice of the use of MPE involves collection of the cell pellet to detect mutation, and limited studies have interrogated the MPE supernatant as an alternative source of tumor-derived DNA for mutation profiling. In this study, we investigated the potential of MPE supernatant as a liquid biopsy specimen by comparing its mutation profile with that of matched MPE cell pellets, tissue, and plasma samples.

methodsSequencing data from 17 patients with matched lung tissue, plasma, and MPE samples were retrospectively analyzed. Capture-based targeted sequencing was performed on matched plasma and MPE supernatant samples obtained from 154 patients with advanced lung adenocarcinoma.

resultsMPE supernatants had significantly higher median maximum allelic fractions (maxAFs) than their corresponding cell pellets (P = 0.008) and plasma samples (P = 0.036), and a comparable maxAF value to that of tissue samples (P = 0.675). Comparison of MPE supernatant and matched plasma samples from the larger cohort (n = 154) revealed a comparable mutation detection rate; however, MPE supernatant had a significantly higher median maxAF than plasma (20.3% vs. 1.13%; P < 0.001). Furthermore, the concordance rates between MPE supernatant and plasma for single-nucleotide and copy number variations were 56% and 18%, respectively, suggesting that MPE supernatant reveals a more comprehensive mutation spectrum, particularly for copy number variations.

conclusionOverall, our study shows that MPE supernatant is an optimal alternative source of tumor-derived DNA for comprehensive mutation profiling.

Indexed as

AdultAgedAged, 80 and overCell-Free Nucleic AcidsCirculating Tumor DNADNA Copy Number VariationsDNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansLiquid BiopsyMaleMiddle AgedPlasmaPleural Effusion, MalignantRetrospective StudiesCell-Free Nucleic AcidsCirculating Tumor DNACell-free DNAliquid biopsylung cancermalignant pleural effusionMPE supernatant

Identifiers

PMID30779318
PMCPMC6449231
OpenAlexW2917357429

What OpenQuestion holds

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LicenceCC BY-NC
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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.