ReviewInternational journal of biological sciences2017
Current Progresses of Single Cell DNA Sequencing in Breast Cancer Research.
Review in International journal of biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- CNVeil resolves haplotype-specific copy number and uncovers subclonal architecture hidden from total copy number profiling in single-cell cancer genomes.bioRxiv : the preprint server for biology · 2026Article
- Deciphering the immunological landscape of HR + metastatic breast cancer: insights from single-cell transcriptomics.Human cell · 2026Article
- scII: Dual-Threshold Adaptive Integration of Single-Cell Multiomics Data Driven by Imputation.Journal of chemical information and modeling · 2026Article
- Research progress and the prospect of using single-cell sequencing technology to explore the characteristics of the tumor microenvironment.Genes & diseases · 2025Review
- Histological transformation in lung adenocarcinoma: Insights of mechanisms and therapeutic windows.Journal of translational internal medicine · 2024Article
- Multimodal deep learning approaches for single-cell multi-omics data integration.Briefings in bioinformatics · 2023Review
- Genome-wide analysis of cell-Free DNA methylation profiling with MeDIP-seq identified potential biomarkers for colorectal cancer.World journal of surgical oncology · 2022Article
- Copy Number Variation Detection by Single-Cell DNA Sequencing with SCOPE.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Single-cell Sequencing in the Field of Stem Cells.Current genomics · 2020Review
- SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing.Cell systems · 2020Article
- Dissecting human disease with single-cell omics: application in model systems and in the clinic.Disease models & mechanisms · 2018Review
- Overview on Clinical Relevance of Intra-Tumor Heterogeneity.Frontiers in medicine · 2018Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancers display striking genetic and phenotypic diversities. To date, several hypotheses are raised to explain and understand the heterogeneity, including theories for cancer stem cell (CSC) and clonal evolution. According to the CSC theory, the most tumorigenic cells, while maintaining themselves through symmetric division, divide asymmetrically to generate non-CSCs with less tumorigenic and metastatic potential, although they can also dedifferentiate back to CSCs. Clonal evolution theory recapitulates that a tumor initially arises from a single cell, which then undergoes clonal expansion to a population of cancer cells. During tumorigenesis and evolution process, cancer cells undergo different degrees of genetic instability and consequently obtain varied genetic aberrations. Yet the heterogeneity in breast cancers is very complex, poorly understood and subjected to further investigation. In recent years, single cell sequencing (SCS) technology developed rapidly, providing a powerful new way to better understand the heterogeneity, which may lay foundations to some new strategies for breast cancer therapies. In this review, we will summarize development of SCS technologies and recent advances of SCS in breast cancer.
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