Literature DB >> 33357315

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

Yanfei Wang1, Zhen Liang2, Yong Liu3, Furong Kou1, Danfeng Jiang1, Yanqun Zheng1, Wei Liu1, Budong Zhu1.   

Abstract

BACKGROUND: Malignant 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.
METHODS: Pleural 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.
RESULTS: The 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.
CONCLUSIONS: Our 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.

Entities:  

Keywords:  Cell separation media; Gene mutation detection; Next-generation sequencing; Pleural effusion; Tumor cells isolation

Year:  2020        PMID: 33357315      PMCID: PMC7786232          DOI: 10.3779/j.issn.1009-3419.2020.103.18

Source DB:  PubMed          Journal:  Zhongguo Fei Ai Za Zhi        ISSN: 1009-3419


  10 in total

1.  Clinical practice. Pleural effusion.

Authors:  Richard W Light
Journal:  N Engl J Med       Date:  2002-06-20       Impact factor: 91.245

Review 2.  Microfluidic approaches for cancer cell detection, characterization, and separation.

Authors:  Jian Chen; Jason Li; Yu Sun
Journal:  Lab Chip       Date:  2012-03-21       Impact factor: 6.799

3.  Microfluidic sorting and multimodal typing of cancer cells in self-assembled magnetic arrays.

Authors:  Antoine-Emmanuel Saliba; Laure Saias; Eleni Psychari; Nicolas Minc; Damien Simon; François-Clément Bidard; Claire Mathiot; Jean-Yves Pierga; Vincent Fraisier; Jean Salamero; Véronique Saada; Françoise Farace; Philippe Vielh; Laurent Malaquin; Jean-Louis Viovy
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

4.  Laser-capture microdissection.

Authors:  Virginia Espina; Julia D Wulfkuhle; Valerie S Calvert; Amy VanMeter; Weidong Zhou; George Coukos; David H Geho; Emanuel F Petricoin; Lance A Liotta
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

5.  Cross regulation by IL-10 and IL-2/IL-12 of the helper T cells and the cytolytic activity of lymphocytes from malignant effusions of lung cancer patients.

Authors:  Y M Chen; W K Yang; C C Ting; W Y Tsai; D M Yang; J Whang-Peng; R P Perng
Journal:  Chest       Date:  1997-10       Impact factor: 9.410

6.  Improved detection of EGFR mutations in the tumor cells enriched from the malignant pleural effusion of non-small cell lung cancer patient.

Authors:  Yi Wang; Zhian Liu; Hanlu Yin; Jiahua Hu; Shanliang Zhong; Wenping Chen; Jianhua Zhao
Journal:  Gene       Date:  2017-10-31       Impact factor: 3.688

7.  Microfluidic purification and concentration of malignant pleural effusions for improved molecular and cytomorphological diagnostics.

Authors:  James Che; Albert J Mach; Derek E Go; Ish Talati; Yong Ying; Jianyu Rao; Rajan P Kulkarni; Dino Di Carlo
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

Review 8.  Circulating biomarkers to monitor cancer progression and treatment.

Authors:  Suthee Rapisuwon; Eveline E Vietsch; Anton Wellstein
Journal:  Comput Struct Biotechnol J       Date:  2016-06-01       Impact factor: 7.271

9.  Next-generation sequencing reveals mutational accordance between cell-free DNA from plasma, malignant pleural effusion and ascites and directs targeted therapy in a gastric cancer patient.

Authors:  Shujuan Zhou; Bo Xu; Liang Qi; Dongqin Zhu; Baorui Liu; Jia Wei
Journal:  Cancer Biol Ther       Date:  2018-08-17       Impact factor: 4.742

10.  Tumor-derived DNA from pleural effusion supernatant as a promising alternative to tumor tissue in genomic profiling of advanced lung cancer.

Authors:  Lin Tong; Ning Ding; Xiaoling Tong; Jiamin Li; Yong Zhang; Xiaodan Wang; Xiaobo Xu; Maosong Ye; Chun Li; Xue Wu; Hairong Bao; Xin Zhang; Qunying Hong; Yuanlin Song; Yang W Shao; Chunxue Bai; Jian Zhou; Jie Hu
Journal:  Theranostics       Date:  2019-07-28       Impact factor: 11.556

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.