ArticleJournal of extracellular vesicles2026
Tissue-Derived Extracellular Vesicles Define Diagnostic Biomarkers for Renal Cell Carcinoma.
Article in Journal of extracellular vesicles, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Extracellular Vesicles as a Potential Tool in Cancer Diagnosis and Therapy.Biomedicines · 2026Review
- Glycosylation of Extracellular Vesicles: Analytical and Translational Insights into Biomarker Discovery and Regenerative Medicine.International journal of molecular sciences · 2026Review
- Tissue-derived small extracellular vesicles in cancer diagnosis and prognosis: current insights and future directions.Cell communication and signaling : CCS · 2026Review
- Tissue-Derived Extracellular Vesicles Define Diagnostic Biomarkers for Renal Cell Carcinoma.Journal of extracellular vesicles · 2026Article
- Advances in Exosome Research in Renal Cell Carcinoma: Mechanisms, Biomarkers, and Therapeutic Applications.International journal of nanomedicine · 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
16 authors.
Funding
Abstract
Tissue-derived extracellular vesicles (Ti-EVs) play a crucial role in tumour progression, but their value as differential diagnostic markers for various renal cell carcinoma (RCC) subtypes remains uncertain. Through analysis of paired tumour and normal tissues, along with their corresponding Ti-EVs, we identified NEAT1 and MMP15 as markers for papillary RCC (pRCC); DSG2 and AC026888.1 for chromophobe RCC (chRCC); NDUFA4L2, SERPINA1, VEGFA, EGLN3, CPE and C6orf223 for low-grade clear cell RCC (low-grade ccRCC); and NDUFA4L2, APOC1, TGFBI and LINC00887 for high-grade ccRCC (high-grade ccRCC). In an external validation cohort, an area under the curve (AUC) of 0.922 for low-grade ccRCC detection and 0.874 for high-grade ccRCC detection was achieved, respectively, using urinary EVs. Furthermore, integrating single-cell sequencing data revealed that SERPINA1 and VEGFA in low-grade ccRCC, and APOC1 and TGFBI in high-grade ccRCC, were derived from tumour-associated macrophages, whereas NDUFA4L2 originated from cancer cells in both low- and high-grade ccRCC.
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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.