ReviewGenome biology2018
Understanding tumor ecosystems by single-cell sequencing: promises and limitations.
Review in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04927611 (Single-cell Sequencing and Establishment of Cell Lines, Organoids, and Transplanted Tumor Models in Neuroendocrine Neoplasm), which is not on this map. Cited by 129 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Single-cell Sequencing and Establishment of Cell Lines, Organoids, and Transplanted Tumor Models in Neuroendocrine Neoplasm
Who cites it
129 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cutting edges and therapeutic opportunities on tumor-associated macrophages in lung cancer.Frontiers in immunology · 2022Pooled it
- Single-cell RNA sequencing reveals the tumor microenvironment and facilitates strategic choices to circumvent treatment failure in a chemorefractory bladder cancer patient.Genome medicine · 2020Trial
- Immune Landscape and Tumour Heterogeneity in Ovarian Cancer: Insights From Single-Cell RNA Sequencing.Journal of cellular and molecular medicine · 2026Review
- Integration of 117 machine learning algorithms and single-cell transcriptomics identifies macrophage polarization and ER stress signatures for cancer prognosis and precision therapy.Discover oncology · 2026Article
- HMGN2 deficiency drives DLBCL progression through impaired R-loop formation and PI3K-AKT hyperactivation.Journal of translational medicine · 2026Article
- Single-cell transcriptomic landscape highlights epithelial-fibroblast interactions and CD44-mediated malignant traits in laryngeal squamous cell carcinoma.NPJ precision oncology · 2026Article
- Identification of a Novel Mitochondrial-Related Gene Signature for BMSCs in Osteoporosis Combining Single-Cell and Bulk Transcriptome Data.Biochemical genetics · 2026Article
- Integrating single-cell and bulk transcriptomes with machine learning reveals a CAF signature for immunotherapy response in dMMR endometrial cancer.Discover oncology · 2026Article
- Review
- NLRP12 in cancer: a context-dependent regulator of tumor progression, immunity, and metabolism.Frontiers in oncology · 2026Review
- Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks.Scientific reports · 2025Article
- EGR4 transcriptionally upregulates GDF15 to promote gastric cancer metastasis.Cell death & disease · 2025Article
- Droplet-based single-cell RNA sequencing: decoding cellular heterogeneity for breakthroughs in cancer, reproduction, and beyond.Journal of translational medicine · 2025Review
- Single-cell sequencing technology in renal cancer: insights into tumor biology and clinical application.Biomarker research · 2025Review
- Iterative clustering algorithm G-DESC-E and pan-cancer key gene analysis based on single-cell sequencing data.Briefings in bioinformatics · 2025Article
- cytoKernel: robust kernel embeddings for assessing differential expression of single-cell data.Bioinformatics (Oxford, England) · 2025Article
- Detection of mRNA Transcript Variants.Genes · 2025Review
- SCANER: robust and sensitive identification of malignant cells from the scRNA-seq profiled tumor ecosystem.Briefings in bioinformatics · 2025Article
- Article
- Single-Cell Transcriptomic Analysis Highlights the Impact of NFKB2-Mediated MIF-CD44 Signaling Axis in Endometrioid Endometrial Cancer.International journal of women's health · 2025Article
69 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular heterogeneity within and across tumors has been a major obstacle in understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor tissues are used for analysis. The advent of rapidly developing single-cell sequencing technologies, which include methods related to single-cell genome, epigenome, transcriptome, and multi-omics sequencing, have been applied to cancer research and led to exciting new findings in the fields of cancer evolution, metastasis, resistance to therapy, and tumor microenvironment. In this review, we discuss recent advances and limitations of these new technologies and their potential applications in cancer studies.
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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.