Evidence map›Paper›PMID 37950728›Full record

ArticleAging2023

Collaborating single-cell and bulk RNA sequencing for comprehensive characterization of the intratumor heterogeneity and prognostic model development for bladder cancer.

Jie Wang, Zili Zuo, Zongze Yu, Zhigui Chen, Lisa Jia Tran, Jing Zhang, Jinsong Ao, Fangdie Ye, Zhou Sun

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

9 authors at 7 institutions in 3 countries.

Jie WangDepartment of Urology, The Second People’s Hospital of Meishan, Meishan, Sichuan 620500, China.
Zili ZuoDepartment of Urology, The Second People’s Hospital of Meishan, Meishan, Sichuan 620500, China.
Zongze YuDepartment of Urology, The Second People’s Hospital of Meishan, Meishan, Sichuan 620500, China.
Zhigui ChenDepartment of Urology, The Second People’s Hospital of Meishan, Meishan, Sichuan 620500, China.
Lisa Jia TranDepartment of General, Visceral, And Transplant Surgery, Ludwig-Maximilians-University Munich, Bayern, Munich 81377, Germany.
Jing ZhangDivision of Basic Biomedical Sciences, The University of South Dakota Sanford School of Medicine, Vermillion, SD 57069, USA.
Jinsong AoDepartment of Urology, The First People’s Hospital of Jiangxia, Wuhan 430200, Hubei, China.
Fangdie YeDepartment of Urology, Huashan Hospital, Fudan University, Jing’an 200000, Shanghai, China.
Zhou SunDepartment of Urology, The First People’s Hospital of Jiangxia, Wuhan 430200, Hubei, China.
Jilin University · CNMeizhou City People's Hospital · CNFudan University · CNLudwig-Maximilians-Universität München · DEThe First People's Hospital of Jiangxia District · CNUniversity of South Dakota · USXian Yang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGaining a deeper insight into the single-cell RNA sequencing (scRNA-seq) results of bladder cancer (BLCA) provides a transcriptomic profiling of individual cancer cells, which may disclose the molecular mechanisms involved in BLCA carcinogenesis.

methodsscRNA data were obtained from GSE169379 dataset. We used the InferCNV software to determine the copy number variant (CNV) with normal epithelial cells serving as the reference, and performed the pseudo-timing analysis on subsets of epithelial cell using Monocle3 software. Transcription factor analysis was conducted using the Dorothea software. Intercellular communication analysis was performed using the Liana software. Cox analysis and LASSO regression were applied to establish a prognostic model.

resultsWe investigated the heterogeneity of tumors in four distinct cell types of BLCA cancer, namely immune cells, endothelial cells, epithelial cells, and fibroblasts. We evaluated the transcription factor activity of different immune cells in BLCA and identified significant enrichment of TCF7 and TBX21 in CD8+ T cells. Additionally, we identified two distinct subtypes of cancer-associated fibroblasts (CAFs), namely iCAFs and myoCAFs, which exhibited distinct communication patterns. Using sub-cluster and cell trajectory analyses, we identified different states of normal-to-malignant cell transformation in epithelial cells. TF analysis further revealed high activation of MYC and SOX2 in tumor cells. Finally, we identified five model genes (SLCO3A1, ANXA1, TENM3, EHBP1, LSAMP) for the development of a prognostic model, which demonstrated high effectiveness in stratifying patients across seven different cohorts.

conclusionsWe have developed a prognostic model that has demonstrated significant efficacy in stratifying patients with BLCA.

Indexed as

Endothelial CellsUrinary Bladder NeoplasmsBase SequenceHumansMembrane ProteinsNerve Tissue ProteinsPrognosisTranscription FactorsTumor MicroenvironmentMembrane ProteinsNerve Tissue ProteinsTENM3 protein, humanTranscription Factorsbladder cancercancer-associated fibroblastsprognostic modelsingle-cell RNA sequencingtumor heterogeneity

Identifiers

PMID37950728
PMCPMC10683618
OpenAlexW4388424871

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.