Evidence map›Paper›PMID 36496537›Full record

ArticleScientific reports2022

Identification of cuproptosis-related long noncoding RNA signature for predicting prognosis and immunotherapy response in bladder cancer.

Gaomin Huang, Yawei Huang, Chiyu Zhang, Yi Jiang, Zhenfeng Ye, Chen He, Fanfan Yu, Zitong Chen, Xiaoqing Xi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  5. Review
  6. Construction of prognostic risk model of bladder cancer based on cuproptosis-related long non-coding RNAs.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023
    Article
  7. Article
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 2 institutions in 1 country.

Gaomin Huang *Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Yawei Huang *Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Chiyu Zhang *Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Yi JiangDepartment of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Zhenfeng YeDepartment of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Chen HeJiangxi Key Laboratory of Molecular Medicine, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Fanfan YuDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Zitong ChenDepartment of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China.
Xiaoqing XiDepartment of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, China. xxiaoqing112@126.com.
Nanchang University · CNSecond Affiliated Hospital of Nanchang University · CN

Funding

National Natural Science Foundation of China No.81660119Provincial Natural Science Foundation of Jiangxi 20181BAB205013Science and Technology Research Project of Jiangxi Provincial Education Department 200128
6 · The paper itself

Abstract

Bladder cancer (BC) is the most common malignant tumour of the urinary system and one of the leading causes of cancer-related death. Cuproptosis is a novel form of programmed cell death, and its mechanism in tumours remains unclear. This study aimed to establish the prognostic signatures of cuproptosis-related lncRNAs and determine their clinical prognostic value. RNA sequencing data from The Cancer Genome Atlas were used to detect the expression levels of cuproptosis-related genes in BC. Cuproptosis-related lncRNAs linked to survival were identified using co-expression and univariate Cox regression. Furthermore, consensus cluster analysis divided the lncRNAs into two subtypes. Subsequently, we established a signature model consisting of seven cuproptosis-related lncRNAs (AC073534.2, AC021321.1, HYI-AS1, PPP1R26-AS1, AC010328.1, AC012568.1 and MIR4435-2Hg) using least absolute shrinkage and selection operator regression. Survival analysis based on risk score showed that the overall survival and progression-free survival of patients in the high-risk group were worse than those in the low-risk group. Multivariate Cox analysis demonstrated the independent prognostic potential of this signature model for patients with BC. Moreover, age and clinical stage were also significantly correlated with prognosis. The constructed nomogram plots revealed good predictive power for the prognosis of patients with BC and were validated using calibration plots. Additionally, enrichment analysis, Single sample gene set enrichment analysis and immune infiltration abundance analysis revealed significant differences in immune infiltration between the two risk groups, with high levels of immune cell subset infiltrations observed in the high-risk group accompanied by various immune pathway activation. Moreover, almost all the immune checkpoint genes showed high expression levels in the high-risk group. Moreover, TIDE analysis suggested that the high-risk group was more responsive to immunotherapy. Finally, eight drugs with low IC50 values were screened, which may prove to be beneficial for patients in the high-risk group.

Indexed as

ApoptosisRNA, Long NoncodingUrinary Bladder NeoplasmsCopperHumansImmunotherapyPrognosisRisk FactorsCopperRNA, Long Noncoding

Identifiers

PMID36496537
PMCPMC9741610
OpenAlexW4311666290

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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.