Evidence map›Paper›PMID 39840068›Full record

ArticleFrontiers in immunology2024

Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.

Xiyu Song, Jianhua Jiao, Jiayang Qin, Wei Zhang, Weijun Qin, Shuaijun Ma

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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiyu Song *Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jianhua Jiao *Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jiayang Qin *West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China.
Wei ZhangNational Translational Science Center for Molecular Medicine & Department of Cell Biology, Fourth Military Medical University, Xi'an, Shaanxi, China.
Weijun QinDepartment of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Shuaijun MaDepartment of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The role of mast cells (MCs) in clear cell renal carcinoma (ccRCC) is unclear, and comprehensive single-cell studies of ccRCC MCs have not yet been performed. Methods: To investigate the heterogeneity and effects of MCs in ccRCC, we studied single-cell transcriptomes from four ccRCC patients, integrating both single-cell sequencing and bulk tissue sequencing data from online sequencing databases, followed by validation via spatial transcriptomics and multiplex immunohistochemistry (mIHC). Results: We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. Activated and resting MCs were defined as having high and low expression of MC receptors and mediators, respectively, whereas proliferating MCs had high expression of proliferation-related genes. The overall percentage of activated MCs in ccRCC tissues did not change significantly but shifted toward a more activated subpopulation (VEGFA Discussion: In conclusion, this study revealed increased MC density in ccRCC. Although the proportion of activated MCs was not significantly altered in ccRCC tissues compared with normal tissues, this finding highlights a shift in the MC phenotype from CTSG

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMast CellsTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedSingle-Cell AnalysisTumor MicroenvironmentVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Aclear cell renal cell carcinomaheterogeneitymast cellprognosissingle-cell RNA sequencingspatial transcriptomics

Identifiers

PMID39840068
PMCPMC11747552

What Socratic holds

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Registered trials

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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 Socratic graph.