Evidence map›Paper›PMID 39400959›Full record

ArticleJournal of cellular and molecular medicine2024

Integrated analysis of bulk and single-cell RNA-seq data reveals cell differentiation-related subtypes and a scoring system in bladder cancer.

Sheng Li, Fucun Zheng, Zhipeng Wang, Situ Xiong, Jin Zeng, Songhui Xu, Bin Fu, Xiaoqiang Liu

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 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

8 authors.

Sheng LiDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Fucun ZhengDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Zhipeng WangDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Situ XiongDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Jin ZengDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Songhui XuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Bin FuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.ORCID 0000-0001-5318-3873
Xiaoqiang LiuDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.

Funding

Jiangxi Provincial "Double Thousand Plan" Fund Project Grant Number. jxsq2019201027Jiangxi Provincial Natural Science Foundation 20232BAB206090Jiangxi Provincial Natural Science Foundation For Distinguished Young Scholar 20232ACB216014National Natural Science Foundation of China 82260511Natural Science Foundation of Jiangxi Province 20212BAB216037
6 · The paper itself

Abstract

Bladder cancer (BLCA) exhibits notable molecular heterogeneity, influencing diverse clinical outcomes. However, the molecular subtypes associated with cell differentiation-related genes (CDR) and their prognostic implications remain unexplored. Analysing two GEO single-cell datasets, we identified genes linked to cell differentiation. Utilizing these genes, we explored distinct molecular subtypes. WGCNA analysis further identified CDR-associated genes, and the CDR score system, constructed using Lasso and Cox regression, was developed. Clinical prognosis and variations in immune-related factors among patient groups were assessed. Core genes were selected and confirmed through in vitro experiments. Two BLCA subtypes related to cell differentiation were identified: Subtype B demonstrated a favourable prognosis, while Subtype A exhibited significant immune cell infiltration. The CDR score system of nine genes revealed a positive correlation between higher scores and a poorer prognosis. The comprehensive analysis uncovered a positive association between CDR genes and M2 macrophages and unresponsiveness to immune therapy. Functional experiments validated that ANXA5 downregulation influences tumour cell migration without affecting proliferation. Our study reveals distinct cell differentiation-related molecular subtypes and introduces the CDR scoring system in BLCA. ANXA5 emerges as a potential therapeutic target, offering promising avenues for personalized treatment strategies.

Indexed as

Cell DifferentiationGene Expression Regulation, NeoplasticRNA-SeqSingle-Cell AnalysisUrinary Bladder NeoplasmsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationFemaleGene Expression ProfilingHumansMalePrognosisSingle-Cell Gene Expression AnalysisBiomarkers, Tumorbladder cancercell differentiationsingle‐cell datasubtypesWGCNA

Identifiers

PMID39400959
PMCPMC11481023

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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.