ArticleNature cancer2025
The Curated Cancer Cell Atlas provides a comprehensive characterization of tumors at single-cell resolution.
Article in Nature cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- Review
- Ectopic integrin β1 overproduction by squamous carcinoma cells contributes to immune evasion-associated metastasis.Cancer letters · 2026Article
- PHAROS: turning single-cell perturbation models into target-directed drug-combination screens.bioRxiv : the preprint server for biology · 2026Article
- Article
- ETS1 Orchestrates a Hybrid EMT Program Driving Metastasis and Immune Evasion.Cancer research · 2026Article
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.Nature communications · 2026Article
- Formation of the pre-metastatic niche by COL9A1 + cancer-associated fibroblasts via SDC4 engagement promotes multi-organ metastasis in gastric cancer.Journal of gastroenterology · 2026Article
- Pan-cancer multi-omic integration of Trop2 reveals biological determinants and translational implications for ADC therapy.NPJ precision oncology · 2026Article
- MHC Attention: Identifying HLA-E presented cancer antigens through deep learning and high-throughput screening.bioRxiv : the preprint server for biology · 2026Article
- Single-cell multimodal profiling of pan-cancer cell lines uncovers gene regulatory principles underlying intrinsic cell states and environmental features.bioRxiv : the preprint server for biology · 2026Article
- Antibodies blocking PlGF or VEGF interactions with the NRP1 receptor mediate antiproliferative effects.The Journal of biological chemistry · 2026Article
- Single-cell spatial analysis stratifies lung adenocarcinoma with rare actionable mutations and reveals immune-modulatory cellular crosstalk.Cell reports. Medicine · 2026Article
- Local gene editing of fibroblasts in tumors reveals a new cancer-associated fibroblast state.The Journal of experimental medicine · 2026Article
- Unannotated noncoding transcripts as a source of intratumor heterogeneity in malignant cell states.Science China. Life sciences · 2026Article
- Single-cell analysis highlights the significance of malignant cell IFN/MHC-II for immunotherapy response in head and neck squamous cell carcinoma.Cell reports. Medicine · 2026Article
- Review
- spRefine denoises and imputes spatial transcriptomic data with a reference-free framework powered by genomic language model.Genome research · 2026Article
- Spatial omics insights into tumor myeloid cells: roles in tumorigenesis, prognosis, and therapy.Molecular biology reports · 2026Review
- A Pan-Cancer Single-Cell Atlas to Evaluate Tumor Identity, Cell Line Concordance, and Dependency Mapping.bioRxiv : the preprint server for biology · 2026Article
- PARP1 Suppression Drives ROS Resistance in Aneuploid Cancer Cells.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent years have seen a rapid proliferation of single-cell cancer studies, yet most of these studies profiled few tumors, limiting their statistical power. Combining data and results across studies holds great promise but also involves various challenges. We recently began to address these challenges by curating a large collection of cancer single-cell RNA-sequencing datasets, leveraging it for systematic analyses of tumor heterogeneity. Here we greatly extend this repository to 124 datasets for over 40 cancer types, together comprising 2,836 samples, with improved data annotations, visualizations and exploration. Using this vast cohort, we generate an updated map of recurrent expression programs in malignant cells and systematically quantify context-dependent gene expression and cell-cycle patterns across cell types and cancer types. These data, annotations and analysis results are all freely available for exploration and download through the Curated Cancer Cell Atlas, a central community resource that opens new avenues in cancer research.
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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.