Evidence map›Paper›PMID 39525026›Full record

ArticleTranslational cancer research2024

Identifying functional cuproptosis-related long non-coding RNAs in patients with bladder cancer.

Yunchao Wang, Yihan Zhao, Qing Liu, Jiwei Yang, Zhipeng Xu, Wenzhi Du, Guanbao Tang, Chuanpai Zhang, Xiaoqing Si, Jianning Wang

Abstract read
In one paragraph

Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yunchao Wang *Department of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Yihan Zhao *Department of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Qing Liu *Department of Medical Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Jiwei YangDepartment of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Zhipeng XuDepartment of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Wenzhi DuDepartment of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Guanbao TangDepartment of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Chuanpai ZhangDepartment of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Xiaoqing SiDepartment of Dermatology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Jianning WangDepartment of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer is the most common malignancy of the urinary tract and one of the most common cancers in the world. Cuproptosis is a novel type of cell death associated with tumorigenesis. In this study, we assessed the correlation between cuproptosis-related genes and tumorigenesis. Moreover, we constructed a prognostic signature. Methods: Pearson correlation analysis and univariate Cox regression were utilized to extract cuproptosis-related long non-coding RNAs (lncRNAs) predicting prognosis in The Cancer Genome Atlas (TCGA) database. The least absolute shrinkage and selection operator (LASSO) Cox regression was utilized to establish a cuproptosizs-related prognostic signature. A nomogram signature was generated to predict individual survival. Results: We obtained 19 cuproptosis-related genes and 14 prognostic cuproptosis-related lncRNAs. We constructed a seven-prognostic risk signature. Time-dependent receiver operating characteristic (ROC) curves demonstrated good predictive power (1-, 3-, and 5-year survival rates of 0.711, 0.673, and 0.684, respectively). The high-risk group reported a worse prognosis than the low-risk group, and the risk signature was identified as an independent factor. The biological process of risk-related genes primarily involved tumorigenesis and migration. The high-risk group expressed high chemokines and T cell inhibition and low antigen-presenting cells. Conclusions: Cuproptosis-related lncRNAs are central to tumorigenesis, providing a novel therapeutic target for patients with bladder cancer. We constructed an individualized predictive signature based on cuproptosis-related lncRNAs.

Indexed as

bioinformatics analysisbladder cancerCuproptosislong non-coding RNA (lncRNA)prognostic signature

Identifiers

PMID39525026
PMCPMC11543048

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.