ReviewJournal of experimental & clinical cancer research : CR2021
Single-cell RNA sequencing in cancer research.
Review in Journal of experimental & clinical cancer research : CR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 257 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
257 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advances in sequencing and omics studies in prostate cancer: unveiling molecular pathogenesis and clinical applications.Frontiers in oncology · 2024Pooled it
- Analysis and validation of prognostic markers for thyroid cancer by single-cell and bulk RNA sequencing.Translational cancer research · 2026Article
- Glutathione metabolism-linked ferroptosis in human seminoma: a spatial multi-omics mapping study.Redox biology · 2026Article
- Single-nucleus RNA sequencing reveals transcriptional heterogeneity in the blastema of favorable-histology Wilms tumor.JCI insight · 2026Article
- Identifying Epithelial-Cell Progression Signatures (ECPSs) from Multi-Resolution Multi-Omics Data for Translational Clinical Applications in Lung Adenocarcinoma.International journal of molecular sciences · 2026Article
- Bioinformatics reveals the prognostic potential of manganese metabolism-related genes in lung adenocarcinoma.Functional & integrative genomics · 2026Article
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
- Single-cell analysis reveals the molecular regulatory mechanisms of high mobility group box 1 in prostate cancer development and progression.International urology and nephrology · 2026Article
- Accelerated protein digestion by numbering-up nanochannels, followed by LC-MS analysis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026Article
- Integrating artificial intelligence and multi-omics data for precision oncology in endometrial cancer: a narrative review.Functional & integrative genomics · 2026Review
- Integrating Single-Cell, Bulk, and Spatial Transcriptomics Unveils a Novel Ribosome Biogenesis-Related Prognostic Model and DefinesInternational journal of molecular sciences · 2026Article
- The emerging roles of alternative splicing in modulating tumor immune responses and immunotherapies.Cell death and differentiation · 2026Review
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- RANBP1 promotes oral cancer progression through activating YAP1 and NDUFB3 derived from the database of single-cell sequencing.Cancer cell international · 2026Article
- Integrated Single-Cell RNA-Seq and Machine Learning to Construct an EMT Infiltration Scoring Model for Prostate Cancer.International journal of molecular sciences · 2026Article
- Single-cell transcriptomic analysis reveals cellular heterogeneity and prognostic subtypes in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Emerging roles of POLR2L of RNA polymerase II dynamics and disease mechanisms (Review).Molecular medicine reports · 2026Review
- Basal cell subsets, as biomarker to predict the therapeutic effect of neoadjuvant therapy for esophageal carcinoma.Journal of cancer research and clinical oncology · 2026Article
- Spatial single-cell landscape of tumor-associated macrophages and their crosstalk with the tumor microenvironment.Cell discovery · 2026Article
- First-in-human single-cell and TCR atlas reveals peripheral immune remodeling before and after irreversible electroporation in prostate cancer.Journal for immunotherapy of cancer · 2026Article
197 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
19 authors.
Funding
Abstract
Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of complex tissues at single-cell levels, can identify differential gene expression and epigenetic factors caused by mutations in unicellular genomes, as well as new cell-specific markers and cell types. scRNA-seq plays an important role in various aspects of tumor research. It reveals the heterogeneity of tumor cells and monitors the progress of tumor development, thereby preventing further cellular deterioration. Furthermore, the transcriptome analysis of immune cells in tumor tissue can be used to classify immune cells, their immune escape mechanisms and drug resistance mechanisms, and to develop effective clinical targeted therapies combined with immunotherapy. Moreover, this method enables the study of intercellular communication and the interaction of tumor cells and non-malignant cells to reveal their role in carcinogenesis. scRNA-seq provides new technical means for further development of tumor research and is expected to make significant breakthroughs in this field. This review focuses on the principles of scRNA-seq, with an emphasis on the application of scRNA-seq in tumor heterogeneity, pathogenesis, and treatment.
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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.