Single cell RNA sequencing for breast cancer: present and future

被引：26

作者：

Ren, Lili ^{[1
]}

Li, Junyi ^{[1
]}

Wang, Chuhan ^{[1
]}

Lou, Zheqi ^{[1
]}

Gao, Shuangshu ^{[1
]}

Zhao, Lingyu ^{[1
]}

Wang, Shuoshuo ^{[1
]}

Chaulagain, Anita ^{[2
]}

Zhang, Minghui ^{[3
]}

Li, Xiaobo ^{[1
]}

Tang, Jing ^{[1
]}

机构：

[1] Harbin Med Univ, Dept Pathol, Harbin 150081, Peoples R China

[2] Harbin Med Univ, Dept Microbiol, Harbin 150081, Peoples R China

[3] Chifeng City Hosp, Dept Oncol, Chifeng 024000, Peoples R China

来源：

CELL DEATH DISCOVERY | 2021年 / 7卷 / 01期

关键词：

GENE-EXPRESSION PATTERNS; MAMMARY STEM-CELLS; HETEROGENEITY; EVOLUTION; REVEALS; SEQ; PHENOTYPE; RISK;

D O I：

10.1038/s41420-021-00485-1

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Breast cancer is one of the most common malignant tumors in women. It is a heterogeneous disease related to genetic and environmental factors. Presently, the treatment of breast cancer still faces challenges due to recurrence and metastasis. The emergence of single-cell RNA sequencing (scRNA-seq) technology has brought new strategies to deeply understand the biological behaviors of breast cancer. By analyzing cell phenotypes and transcriptome differences at the single-cell level, scRNA-seq reveals the heterogeneity, dynamic growth and differentiation process of cells. This review summarizes the application of scRNA-seq technology in breast cancer research, such as in studies on cell heterogeneity, cancer cell metastasis, drug resistance, and prognosis. scRNA-seq technology is of great significance to deeply analyze the mechanism of breast cancer occurrence and development, identify new therapeutic targets and develop new therapeutic approaches for breast cancer.

引用

页数：11

共 63 条

[11] Single-cell RNA-sequencing of migratory breast cancer cells: discovering genes associated with cancer metastasis [J].

Chen, Yu-Chih ;

Sahoo, Saswat ;

Brien, Riley ;

Jung, Seungwon ;

Humphries, Brock ;

Lee, Woncheol ;

Cheng, Yu-Heng ;

Zhang, Zhixiong ;

Luker, Kathryn E. ;

Wicha, Max S. ;

Luker, Gary D. ;

Yoon, Euisik .

ANALYST, 2019, 144 (24) :7296-7309

[12] Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer [J].

Chung, Woosung ;

Eum, Hye Hyeon ;

Lee, Hae-Ock ;

Lee, Kyung-Min ;

Lee, Han-Byoel ;

Kim, Kyu-Tae ;

Ryu, Han Suk ;

Kim, Sangmin ;

Lee, Jeong Eon ;

Park, Yeon Hee ;

Kan, Zhengyan ;

Han, Wonshik ;

Park, Woong-Yang .

NATURE COMMUNICATIONS, 2017, 8

[13] Differential Variation Analysis Enables Detection of Tumor Heterogeneity Using Single-Cell RNA-Sequencing Data [J].

Davis-Marcisak, Emily F. ;

Sherman, Thomas D. ;

Orugunta, Pranay ;

Stein-O'Brien, Genevieve L. ;

Puram, Sidharth V. ;

Torres, Evanthia T. Roussos ;

Hopkins, Alexander C. ;

Jaffee, Elizabeth M. ;

Favorov, Alexander V. ;

Afsari, Bahman ;

Goff, Loyal A. ;

Fertig, Elana J. .

CANCER RESEARCH, 2019, 79 (19) :5102-5112

[14] Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy [J].

Denkert, Carsten ;

von Minckwitz, Gunter ;

Darb-Esfahani, Silvia ;

Lederer, Bianca ;

Heppner, Barbara I. ;

Weber, Karsten E. ;

Budczies, Jan ;

Huober, Jens ;

Klauschen, Frederick ;

Furlanetto, Jenny ;

Schmitt, Wolfgang D. ;

Blohmer, Jens-Uwe ;

Karn, Thomas ;

Pfitzner, Berit M. ;

Kuemmel, Sherko ;

Engels, Knut ;

Schneeweiss, Andreas ;

Hartmann, Arndt ;

Noske, Aurelia ;

Fasching, Peter A. ;

Jackisch, Christian ;

van Mackelenbergh, Marion ;

Sinn, Peter ;

Schem, Christian ;

Hanusch, Claus ;

Untch, Michael ;

Loibl, Sibylle .

LANCET ONCOLOGY, 2018, 19 (01) :40-50

[15] Mechanisms and Consequences of Alternative Polyadenylation [J].

Di Giammartino, Dafne Campigli ;

Nishida, Kensei ;

Manley, James L. .

MOLECULAR CELL, 2011, 43 (06) :853-866

[16] Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer [J].

Gao, Ruli ;

Kim, Charissa ;

Sei, Emi ;

Foukakis, Theodoros ;

Crosetto, Nicola ;

Chan, Leong-Keat ;

Srinivasan, Maithreyan ;

Zhang, Hong ;

Meric-Bernstam, Funda ;

Navin, Nicholas .

NATURE COMMUNICATIONS, 2017, 8

[17]

GOLD M, 2019, BIOCOMPUT-PAC SYM, V24, P374

[18] Single-cell RNA sequencing: Technical advancements and biological applications [J].

Hedlund, Eva ;

Deng, Qiaolin .

MOLECULAR ASPECTS OF MEDICINE, 2018, 59 :36-46

[19] Cancer drug resistance: an evolving paradigm [J].

Holohan, Caitriona ;

Van Schaeybroeck, Sandra ;

Longley, Daniel B. ;

Johnston, Patrick G. .

NATURE REVIEWS CANCER, 2013, 13 (10) :714-726

[20] Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy [J].

Hong, Sung Pil ;

Chan, Thalia E. ;

Lombardo, Ylenia ;

Corleone, Giacomo ;

Rotmensz, Nicole ;

Bravaccini, Sara ;

Rocca, Andrea ;

Pruneri, Giancarlo ;

McEwen, Kirsten R. ;

Coombes, R. Charles ;

Barozzi, Iros ;

Magna, Luca .

NATURE COMMUNICATIONS, 2019, 10 (1)

← 1 2 3 4 5 6 7 →