Evidence map›Paper›PMID 38903524›Full record

ArticleFrontiers in immunology2024

Investigating cellular similarities and differences between upper tract urothelial carcinoma and bladder urothelial carcinoma using single-cell sequencing.

Qingyun Zhang, Chengbang Wang, Min Qin, Yu Ye, Yingxi Mo, Qinggui Meng, Guanglin Yang, Guanzheng Feng, Rui Lin, Shinan Xian and 4 more

Abstract read
In one paragraph

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

14 authors.

Qingyun Zhang *Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Chengbang Wang *Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Min Qin *Human Sperm Bank, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yu YeDepartment of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yingxi MoDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Qinggui MengDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Guanglin YangDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Guanzheng FengDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Rui LinDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Shinan XianDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Jueling WeiDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Shaohua ChenDepartment of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Shan WangDepartment of Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Upper tract urothelial carcinoma (UTUC) and bladder urothelial carcinoma (BLCA) both originate from uroepithelial tissue, sharing remarkably similar clinical manifestations and therapeutic modalities. However, emerging evidence suggests that identical treatment regimens may lead to less favorable outcomes in UTUC compared to BLCA. Therefore, it is imperative to explore molecular processes of UTUC and identify biological differences between UTUC and BLCA. Methods: In this study, we performed a comprehensive analysis using single-cell RNA sequencing (scRNA-seq) on three UTUC cases and four normal ureteral tissues. These data were combined with publicly available datasets from previous BLCA studies and RNA sequencing (RNA-seq) data for both cancer types. This pooled analysis allowed us to delineate the transcriptional differences among distinct cell subsets within the microenvironment, thus identifying critical factors contributing to UTUC progression and phenotypic differences between UTUC and BLCA. Results: scRNA-seq analysis revealed seemingly similar but transcriptionally distinct cellular identities within the UTUC and BLCA ecosystems. Notably, we observed striking differences in acquired immunological landscapes and varied cellular functional phenotypes between these two cancers. In addition, we uncovered the immunomodulatory functions of vein endothelial cells (ECs) in UTUC, and intercellular network analysis demonstrated that fibroblasts play important roles in the microenvironment. Further intersection analysis showed that MARCKS promote UTUC progression, and immunohistochemistry (IHC) staining revealed that the diverse expression patterns of MARCKS in UTUC, BLCA and normal ureter tissues. Conclusion: This study expands our multidimensional understanding of the similarities and distinctions between UTUC and BLCA. Our findings lay the foundation for further investigations to develop diagnostic and therapeutic targets for UTUC.

Indexed as

Single-Cell AnalysisTumor MicroenvironmentUrinary Bladder NeoplasmsCarcinoma, Transitional CellGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSequence Analysis, RNATranscriptomeUrotheliumcellular heterogeneityinteraction networksingle-cell RNA sequencingtumor microenvironmentupper tract urothelial carcinoma

Identifiers

PMID38903524
PMCPMC11187293

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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.