Evidence map›Paper›PMID 34168986›Full record

ArticleFrontiers in oncology2021

Single-Cell RNA-seq Identification of the Cellular Molecular Characteristics of Sporadic Bilateral Clear Cell Renal Cell Carcinoma.

Zhenyuan Yu, Wenhao Lu, Cheng Su, Yufang Lv, Yu Ye, Bingqian Guo, Deyun Liu, Haibiao Yan, Hua Mi, Tianyu Li and 3 more

Abstract read
In one paragraph

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  15. A new insight of immunosuppressive microenvironment in osteosarcoma lung metastasis.Experimental biology and medicine (Maywood, N.J.) · 2023
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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

13 authors.

Zhenyuan YuDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wenhao LuDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Cheng SuDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yufang LvDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yu YeCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Bingqian GuoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Deyun LiuDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Haibiao YanDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Hua MiDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Tianyu LiDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qingyun ZhangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Jiwen ChengDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zengnan MoDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bilateral renal cell carcinoma (RCC) is a rare disease that can be classified as either familial or sporadic. Studying the cellular molecular characteristics of sporadic bilateral RCC is important to provide guidance for clinical treatment. Cellular molecular characteristics can be expressed at the RNA level, especially at the single-cell degree. Single-cell RNA sequencing (scRNA-seq) was performed on bilateral clear cell RCC (ccRCC). A total of 3,575 and 3,568 high-quality single-cell transcriptome data were captured from the left and right tumour tissues, respectively. Gene characteristics were identified by comparing left and right tumours at the scRNA level. The complex cellular environment of bilateral ccRCC was presented by using scRNA-seq. Single-cell transcriptomic analysis revealed high similarity in gene expression among most of the cell types of bilateral RCCs but significant differences in gene expression among different site tumour cells. Additionally, the potential biological function of different tumour cell types was determined by gene ontology (GO) analysis. The transcriptome characteristics of tumour tissues in different locations at the single-cell transcriptome level were revealed through the scRNA-seq of bilateral sporadic ccRCC. This work provides new insights into the diagnosis and treatment of bilateral RCC.

Indexed as

single-cell RNA atlassingle-cell RNA sequencingsporadic bilateral clear cell renal cell carcinomatumour cell microenvironmenttumour cellular molecular characteristics

Identifiers

PMID34168986
PMCPMC8217644

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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 OpenQuestion graph.