Literature DB >> 33990550

Single cell RNA sequencing for breast cancer: present and future.

Lili Ren1, Junyi Li1, Chuhan Wang1, Zheqi Lou1, Shuangshu Gao1, Lingyu Zhao1, Shuoshuo Wang1, Anita Chaulagain2, Minghui Zhang3, Xiaobo Li4, Jing Tang5.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33990550     DOI: 10.1038/s41420-021-00485-1

Source DB:  PubMed          Journal:  Cell Death Discov        ISSN: 2058-7716


  62 in total

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Authors:  Kornelia Polyak
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Journal:  JAMA       Date:  2019-01-22       Impact factor: 56.272

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  5 in total

Review 1.  Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures.

Authors:  Dharambir Kashyap; Deeksha Pal; Riya Sharma; Vivek Kumar Garg; Neelam Goel; Deepika Koundal; Atef Zaguia; Shubham Koundal; Assaye Belay
Journal:  Biomed Res Int       Date:  2022-04-18       Impact factor: 3.246

2.  Development of an Inflammation-Related lncRNA-miRNA-mRNA Network Based on Competing Endogenous RNA in Breast Cancer at Single-Cell Resolution.

Authors:  Jingxing Liu; Shuyuan Xiao; Jing Chen
Journal:  Front Cell Dev Biol       Date:  2022-01-25

3.  A Differentiation-Related Gene Prognostic Index Contributes to Prognosis and Immunotherapy Evaluation in Patients with Hepatocellular Carcinoma.

Authors:  Jingjing Xiao; Tao Liu; Zhenhua Liu; Chuan Xiao; Jun Du; Shi Zuo; Haiyang Li; Huajian Gu
Journal:  Cells       Date:  2022-07-26       Impact factor: 7.666

4.  Identification of differentially expressed genes at the single-cell level and prognosis prediction through bulk RNA sequencing data in breast cancer.

Authors:  Hanghang Chen; Tian Tian; Haihua Luo; Yong Jiang
Journal:  Front Genet       Date:  2022-09-16       Impact factor: 4.772

Review 5.  How Lineage Tracing Studies Can Unveil Tumor Heterogeneity in Breast Cancer.

Authors:  Elena Vinuesa-Pitarch; Daniel Ortega-Álvarez; Verónica Rodilla
Journal:  Biomedicines       Date:  2021-12-21
  5 in total

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