ReviewNature reviews. Clinical oncology2025
Emerging clinical applications of single-cell RNA sequencing in oncology.
Review in Nature reviews. Clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Single-cell RNA sequencing unravels mosquito biology and host-pathogen interactions.Parasites & vectors · 2026Review
- Rates of Evolution Differ Between Cell Types Identified by Single-Cell RNAseq in Threespine Stickleback.Molecular ecology · 2026Article
- Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.Signal transduction and targeted therapy · 2026Review
- Resveratrol Modulates Lung Cancer-Associated Hub Genes Identified by Integrated Bioinformatics, Single-Cell Analysis, Molecular Docking, and Experimental Validation.Cell biochemistry and biophysics · 2026Article
- Integrated pan-cancer analysis reveals a cancer-associated fibroblast oxidative stress response signature predicting immunotherapy response and prognosis.Apoptosis : an international journal on programmed cell death · 2026Article
- Antibody-Drug Conjugates in Lung Cancer: Promise, Progress, and Persistent Challenges.Current issues in molecular biology · 2026Review
- Comprehensive Analysis of Starvation Response-Related Genes in the Diagnosis of Ischemic Stroke: Based on Machine Learning and Single-Cell RNA Sequencing Data.Journal of molecular neuroscience : MN · 2026Article
- Innovative technologies and future perspectives in tumor microbiomics.Science China. Life sciences · 2026Review
- Review
- A clinically relevant SLC2A1-associated malignant epithelial cell state predicts prognosis and immunotherapy response in lung adenocarcinoma.Functional & integrative genomics · 2026Article
- From Pyroptosis Heterogeneity to an Interpretable Prognostic Signature for Risk Stratification and Therapy Insights in Pancreatic Adenocarcinoma.Biomedicines · 2026Article
- Multi-Omics Analysis IdentifiedInternational journal of molecular sciences · 2026Article
- Harnessing PDX and PDX 2.0: the next-generation paradigm for precision oncology and translational breakthroughs.Molecular cancer · 2026Review
- Single-cell RNA sequencing combined with single-cell genome-wide association study identifies SF3B4 as a hub gene in hepatocellular carcinoma progression.Discover oncology · 2026Article
- Single-cell omics in tumor lymph node metastasis: mechanisms and therapeutic implications.Molecular cancer · 2026Review
- Review
- Comprehensive pan-cancer analysis and experimental verification of the roles of SCP2 in colon adenocarcinoma.BMC cancer · 2026Article
- Integrative Multiomics and Single-Cell Profiling Identify TNFRSF1AComputational and structural biotechnology journal · 2026Article
- Decoding benign prostatic hyperplasia at single-cell resolution: heterogeneity, inflammation, and beyond androgen-driven pathogenesis.Frontiers in immunology · 2026Review
- Transmembrane lectins in cancer immunity: emerging drivers of myeloid-mediated immunosuppression.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of complex tissues both in health and in disease. Over the past decade, scRNA-seq has been applied to tumour samples obtained from patients with cancer in hundreds of studies, thereby advancing the view that each tumour is a complex ecosystem and uncovering the diverse states of both cancer cells and the tumour microenvironment. Such studies have primarily investigated and provided insights into the basic biology of cancer, although considerable research interest exists in leveraging these findings towards clinical applications. In this Review, we summarize the available data from scRNA-seq studies investigating samples from patients with cancer with a particular focus on findings that are of potential clinical relevance. We highlight four main research objectives of scRNA-seq studies and describe some of the most relevant findings towards such goals. We also describe the limitations of scRNA-seq, as well as future approaches in this field that are anticipated to further advance clinical applicability.
Indexed as
Identifiers
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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.