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

Yi Chuan

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

Published: February 2019

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.

Download full-text PDF

Source
http://dx.doi.org/10.16288/j.yczz.18-230DOI Listing

Publication Analysis

Top Keywords

tumor cells
36
tumor
15
cells malignant
12
malignant pleural
12
tumor heterogeneity
12
metastatic tumor
12
cells
10
pleural effusion
8
lung cancer
8
pleural effusions
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!