ReviewNature cell biology2018
Tumour heterogeneity and metastasis at single-cell resolution.
Review in Nature cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 329 papers, 1 of them a synthesis that pooled it.
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
329 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cholesterol and Its Derivatives: Multifaceted Players in Breast Cancer Progression.Frontiers in oncology · 2022Pooled it
- Clinical metastatic cancer from initiation to colonization: emerging challenges and breakthroughs.Oncogene · 2026Review
- Contact percolation governs collective motility via mechano-chemical feedback in heterogeneous breast cancer.Nature communications · 2026Article
- Lipid droplet-associated gene signatures classify metabolic subtypes and identify PLIN3 as a key driver in hepatocellular carcinoma.Genes & diseases · 2026Article
- Democratized single-cell proteomics resolves cell state heterogeneity in skin tumors.Life science alliance · 2026Article
- Adaptive epithelial-mesenchymal bi-directional transition: A key invasive plasticity for tumor metastasis.iScience · 2026Review
- Integrative spatial multi-omics reveals the tumor ecosystem: From mechanistic insights to therapeutic strategies.iScience · 2026Review
- Single-cell profiling reveals peripheral blood immune landscape remodelling in breast cancer lymph node metastasis.Clinical and translational medicine · 2026Article
- scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments.Scientific reports · 2026Article
- Subclonal β-catenin/YAP signaling heterogeneity accelerates ovarian cancer metastasis through a senescence-associated secretory phenotype.Cell death & disease · 2026Article
- Clustering single-cell multi-omics data via weighted distance penalty and adaptive consistent graph regularization.PLoS computational biology · 2026Article
- A Single-cell and Spatially Resolved Cell Atlas of Human Esophageal Squamous Cell Carcinoma.Genomics, proteomics & bioinformatics · 2026Article
- The Evolution of Spatial Omics Technologies Introduces A Novel Avenue for Lung Cancer Research.Genomics, proteomics & bioinformatics · 2026Review
- Integrating Multi-Omics Atlas to Uncover Genetic and Epigenetic Mechanisms and Reveal Cell State Evolution Across Ecotypes in Male Urological Cancers.International journal of molecular sciences · 2026Article
- Epithelial plasticity shapes intratumoral heterogeneity and cell lineages in early-stage lung cancer.Science advances · 2026Article
- Pan-Cancer Single-Cell RNA Sequencing Analysis Refines Multi-Origin Monocyte and Macrophage Lineages.Cancer immunology research · 2026Article
- Tumor-Associated Macrophages as Therapeutic Targets: Deciphering Interaction Networks and Advancing Clinical Translation.MedComm · 2026Review
- scXDR: drug response prediction across single-cell datasets via heterogeneous network transfer learning.Communications biology · 2026Article
- Exploring tumorigenesis as a process of phenotypic state-space exploration and selective funneling.Evolution, medicine, and public health · 2026Article
- Lineage-resolved lifetime modelling reveals potential quiescence and synchronization among MDA-MB-468 breast cancer cells.Frontiers in cell and developmental biology · 2026Article
269 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
5 authors.
Funding
Abstract
Tumours comprise a heterogeneous collection of cells with distinct genetic and phenotypic properties that can differentially promote progression, metastasis and drug resistance. Emerging single-cell technologies provide a new opportunity to profile individual cells within tumours and investigate what roles they play in these processes. This Review discusses key technological considerations for single-cell studies in cancer, new findings using single-cell technologies and critical open questions for future applications.
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.