ArticleFrontiers in oncology2021
Single-Cell RNA Sequencing in Multiple Pathologic Types of Renal Cell Carcinoma Revealed Novel Potential Tumor-Specific Markers.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.
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Who cites it
88 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.
- Meta-analysis of single-cell and single-nucleus transcriptomics reveals kidney cell type consensus signatures.Scientific data · 2023Pooled it
- 3D co-culture model of tumor spheroid and endothelial cells unveils ccRCC aberrant vasculature and distinct sensitivity to targeted treatments.Angiogenesis · 2026Article
- Multi-omic characterization of 14q deletion in renal clear cell carcinoma identifiesJournal for immunotherapy of cancer · 2026Article
- Lysyl oxidase drives ccRCC progression by coordinating HIF-2α transcription program with tumor microenvironment.bioRxiv : the preprint server for biology · 2026Article
- Stratification system with tumor-associated macrophages for predicting prognostic and therapeutic implications in clear cell renal cell carcinoma.Journal of the National Cancer Center · 2026Article
- The FOXC2-LAMA4 Axis Orchestrates Vasculogenic Mimicry and Immunosuppressive Niche Formation to Drive Metastatic Cascade in Renal Cell Carcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- CSF1-CSF1R signaling mediates tumor cell-macrophage crosstalk and prognosis in ccRCC.Cancer gene therapy · 2026Article
- Multi-omics profiling identifies ectopic olfactory receptors as putative drivers of tumor progression and prognostic indicators in clear cell renal cell carcinoma.Clinical and experimental medicine · 2026Article
- SPOCK1 overexpression suggests poor prognosis in head and neck squamous cell carcinomas.Pathology oncology research : POR · 2026Article
- FKBP10 promotes M2 polarization of macrophage via MEK/ERK/CXCL8 axis and facilitates tumor progression in clear cell renal cell carcinoma.International journal of biological sciences · 2026Article
- Retinoic Acid Reprograms Mast Cells Toward a Proinflammatory State to Enhance Antitumor Immunity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatial pharmacology of anti-cancer immunomodulators: a comprehensive review.Frontiers in pharmacology · 2026Review
- REG/Reg family proteins: mediating gut microbiota homeostasis and implications in digestive diseases.Gut microbes · 2025Review
- Integrating multi-omics data and machine learning to identify endocrine disrupting chemicals targeting key ccRCC-related genes.Discover oncology · 2025Article
- Integrating whole-exome sequencing and scRNA-seq reveal the characteristic in one clear cell renal cell carcinoma sample arising in the setting of VHL disease.Scientific reports · 2025Article
- Integration of scRNA-Seq and scATAC-Seq Reveals Malignant Characteristics of Sarcomatoid Clear Cell Renal Cell Carcinoma.Cancer science · 2025Article
- Prognostic modeling and immune infiltration analysis in hepatocellular carcinoma using glutathione metabolism-associated genes.European journal of medical research · 2025Article
- Article
- Pan-Cancer Landscape of Magnesium Homeostasis: Bulk Omics Research and Single-Cell Sequencing Validation.Biological procedures online · 2025Article
- Single-cell transcriptomic insights into ccRCC: a stemness gene signature for prognosis and treatment response prediction.Discover oncology · 2025Article
28 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
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Abstract
backgroundRenal cell carcinoma (RCC) is the most common type of kidney cancer. Studying the pathogenesis of RCC is particularly important, because it could provide a direct guide for clinical treatment. Given that tumor heterogeneity is probably reflected at the mRNA level, the study of mRNA in RCC may reveal some potential tumor-specific markers, especially single-cell RNA sequencing (scRNA-seq).
methodsWe performed an exploratory study on three pathological types of RCC with a small sample size. This study presented clear-cell RCC (ccRCC), type 2 pRCC, and chRCC in a total of 30,263 high-quality single-cell transcriptome information from three pathological types of RCC. In addition, scRNA-seq was performed on normal kidneys. Tumor characteristics were well identified by the comparison between different pathological types of RCC and normal kidneys at the scRNA level.
resultsSome new tumor-specific markers for different pathologic types of RCC, such as
conclusionsTaken together, these findings considerably enriched the single-cell transcriptomic information for RCC, thereby providing new insights into the diagnosis and treatment of RCC.
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