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Technique and Method

Identification and single-cell sequencing analysis of rare tumor cells in malignant pleural effusion of lung cancer patients

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  • Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China

Received date: 2018-10-31

  Revised date: 2018-12-27

  Online published: 2019-01-14

Supported by

[Supported by the National Natural Science Foundation of China(21775103);[Supported by the National Natural Science Foundation of China(81501613);Medical Engineering Cross Research Fund of Shanghai Jiao Tong University](YG2017QN54)

Abstract

Tumor heterogeneity refers to distinct genomic or phenotypic characteristics of tumor cells. Under the environmental or drug stress, tumor cells exhibit different responses, corresponding to different properties of cell proliferation, invasion, metastasis and drug resistance. In particular, a small fraction of tumor cells are capable of detaching from primary tumor sites and initiating distant metastases. Thus, tumor heterogeneity sets the basis for tumor resistance and metastasis. Traditional methods in studying tumor heterogeneity are mainly based on bulk cells from different locations in primary tumors, lacking analysis at the single-cell level and of metastatic tumor cells. This study establishes a single-cell method to study metastatic tumor cells in malignant pleural effusions of lung cancer patients. Metabolically active tumor cells in malignant pleural effusions are firstly identified with a metabolic marker 2-NBDG, a fluorescent glucose analog. These metabolically active tumor cells are confirmed to harbor the same driver oncogenic mutations by Sanger sequencing, followed by high-throughput sequencing to analyze copy number variation profiles. Our results show metastatic tumor cells in pleural effusion have the same driver mutations but different features in copy number variation patterns. The study provides new insights to understand the mechanism of tumor metastasis.

Cite this article

Baojun Wu,Zhuo Wang,Yu Dong,Yuliang Deng,Qihui Shi . Identification and single-cell sequencing analysis of rare tumor cells in malignant pleural effusion of lung cancer patients[J]. Hereditas(Beijing), 2019 , 41(2) : 175 -184 . DOI: 10.16288/j.yczz.18-230

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