ArticleJournal of oncology2022
A New Prognostic Signature Constructed with Necroptosis-Related lncRNA in Bladder Cancer.
Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- LINC02178 drives lung adenocarcinoma progression and serves as a therapeutic target for nanodelivery-based intervention.Scientific reports · 2025Article
- Identification of molecular subtypes and prognostic risk model of glucocorticoid-related lncRNAs in bladder cancer to evaluate prognosis and immunological characteristics.Translational andrology and urology · 2025Article
- The fate and function of non-coding RNAs during necroptosis.Epigenomics · 2024Review
- Target deubiquitinase OTUB1 as a therapeatic strategy for BLCA via β-catenin/necroptosis signal pathway.International journal of biological sciences · 2024Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bladder cancer (BC) accounts for the most common urologic malignancy, leading to a heavy social burden over the world. We aim to search for a novel prognostic biomarker with necroptosis-related lncRNAs of bladder cancer in this study. Methods: We download the RNA-sequencing data and corresponding clinical information of BC patients from TCGA. We performed Pearson correlation analysis to identify necroptosis-related lncRNAs (NRlncRNAs). Then, we used univariate Cox regression, Lasso Cox analysis, and multivariate Cox regression to construct the optimal prognostic model. Next, we used Kaplan-Meier curves, Cox regression, receiver operating characteristic (ROC) curves, nomogram, and stratified survival analysis to evaluate the capacity of the prognostic signature. Furthermore, gene set enrichments in the signature and the correlation between prognostic signature and necroptosis genes, tumor microenvironment, immune infiltration, and immune checkpoints of BC were also explored. Results: A 7-NRlncRNAs signature comprising FKBP14-AS1, AL731567.1, LINC02178, AC011503.2, LINC02195, AC068196.1, and AL136084.2 was constructed to predict the prognosis of BC in this research. Cox regression analysis showed that the signature could be an independent prognostic factor for BC patients ( Conclusions: The 7-NRlncRNAs signature can predict the overall survival of BC and may provide help for the individualized treatment of BC patients.
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Registered trials
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