Evidence map›Paper›PMID 33357315›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2020

[A Method for Isolating Tumor Cells from Large Volume of Malignant Pleural 
Effusion and Its Efficacy Evaluation].

Yanfei Wang, Zhen Liang, Yong Liu, Furong Kou, Danfeng Jiang, Yanqun Zheng, Wei Liu, Budong Zhu

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 72% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 2 countries.

Yanfei Wang *Daycare Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Zhen Liang *Department of Thoracic Surgery I, Key Laboratory of Carcinogenesis and Translational Research 
(Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China.
Yong LiuComWin Biotech Co., Ltd, Beijing 102206, China.
Furong KouDaycare Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Danfeng JiangDaycare Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Yanqun ZhengDaycare Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Wei LiuDaycare Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Budong ZhuDaycare Center, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Peking University · CNMinistry of Education · ETSinovac Biotech · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant plural effusion (MPE) is one of the most common specimen for liquid biopsy gene detection. This study aims to explore a method for isolating tumor cells from large volume of MPE and evaluate its efficacy and application prospect in gene detection.

methodsPleural effusions (>500 mL) from 20 advanced lung cancer patients were obtained by effusion drainage and used to isolate tumor cells with cell separation media Percoll and Ficoll. Cell number and purity were calculated. DNA was extracted from the supernatant (etDNA), total cells and isolated tumor cells of pleural effusion (ETC-DNA) to detect the mutation of tumor-related genes by next-generation sequencing.

resultsThe median number of cells isolated from malignant pleural effusion was 8.50×10⁴ (interquel range: 9.25×10³-3.75×10⁵), 85.50%±5.80% of the cells were identified as tumor cells. The detection rates of epidermal growth factor receptor (EGFR) gene mutation of etDNA, total cell DNA and ETC-DNA were 70.00%, 50.00% and 70.00%, reseparately, while the median EGFR mutation abundance in 3 components was 16.05% (4.78%-43.06%), 1.09% (0.00%-2.39%), and 33.02% (18.50%-76.70%), respectively. ETC-DNA had good consistency with tissue DNA (P>0.999, kappa=1.000) and etDNA (P>0.999, kappa=1.000). ETC-DNA inclined to have higher EGFR mutation than etDNA, but the result was not statistically significant.

conclusionsOur method can isolate large amount of tumor cells from a large volume of malignant pleural effusion with high purity. Using ETC-DNA as specimen improves the efficacy of gene detection, thus is worth further study.

Indexed as

MutationPleural Effusion, MalignantAdultAgedCell SeparationDNA, NeoplasmErbB ReceptorsFemaleHumansLung NeoplasmsMaleMiddle AgedDNA, NeoplasmErbB ReceptorsCell separation mediaGene mutation detectionNext-generation sequencingPleural effusionTumor cells isolation

Identifiers

PMID33357315
PMCPMC7786232
OpenAlexW3117488034

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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.