ReviewClinical and translational medicine2017
Single-cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis.
Review in Clinical and translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 71 citations in OpenAlex.
- Exploring platelet-covered and naked circulating tumor cells - a single-cell transcriptomic perspective.Journal of translational medicine · 2026Article
- scMVAF: a multi-view adaptive fusion clustering approach for single-cell RNA-sequencing data.Briefings in bioinformatics · 2026Article
- Single-Cell Sequencing Data Revealed Mechanisms of Interactions Between Tumor Cells and Cancer-Associated Fibroblasts in Metastatic Colorectal Cancer.BioMed research international · 2026Article
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Single-Cell Analysis of Bone-Marrow-Disseminated Tumour Cells.Diagnostics (Basel, Switzerland) · 2024Review
- Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research.International journal of molecular sciences · 2024Review
- Clinical significance of genomic sequencing of circulating tumour cells (CTCs) in cancer.The journal of liquid biopsy · 2024Review
- Application of Single-Cell Sequencing Technology in Research on Colorectal Cancer.Journal of personalized medicine · 2024Review
- Recent progress and applications of single-cell sequencing technology in breast cancer.Frontiers in genetics · 2024Review
- The Evolution of Single-Cell RNA Sequencing Technology and Application: Progress and Perspectives.International journal of molecular sciences · 2023Review
- Review
- Cervical cancer heterogeneity: a constant battle against viruses and drugs.Biomarker research · 2022Review
- Circulating tumour cells in the -omics era: how far are we from achieving the 'singularity'?British journal of cancer · 2022Review
- Forward single-cell sequencing into clinical application: Understanding of cancer microenvironment at single-cell solution.Clinical and translational medicine · 2022Article
- Identification and validation of a seven-gene prognostic marker in colon cancer based on single-cell transcriptome analysis.IET systems biology · 2022Article
- Genome profiles of pathologist-defined cell clusters by multiregional LCM and G&T-seq in one triple-negative breast cancer patient.Cell reports. Medicine · 2021Article
- Cancer Explant Models.Current topics in microbiology and immunology · 2021Article
- Detecting cancer metastasis and accompanying protein biomarkers at single cell levels using a 3D-printed microfluidic immunoarray.Biosensors & bioelectronics · 2021Article
- Tumor heterogeneity in muscle-invasive bladder cancer.Translational andrology and urology · 2020Review
- Single-Cell Transcriptomic Analysis Identifies a Unique Pulmonary Lymphangioleiomyomatosis Cell.American journal of respiratory and critical care medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extensive genomic and transcriptomic heterogeneity in human cancer often negatively impacts treatment efficacy and survival, thus posing a significant ongoing challenge for modern treatment regimens. State-of-the-art DNA- and RNA-sequencing methods now provide high-resolution genomic and gene expression portraits of individual cells, facilitating the study of complex molecular heterogeneity in cancer. Important developments in single-cell sequencing (SCS) technologies over the past 5 years provide numerous advantages over traditional sequencing methods for understanding the complexity of carcinogenesis, but significant hurdles must be overcome before SCS can be clinically useful. In this review, we: (1) highlight current methodologies and recent technological advances for isolating single cells, single-cell whole-genome and whole-transcriptome amplification using minute amounts of nucleic acids, and SCS, (2) summarize research investigating molecular heterogeneity at the genomic and transcriptomic levels and how this heterogeneity affects clonal evolution and metastasis, and (3) discuss the promise for integrating SCS in the clinical care arena for improved patient care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.