ArticleOncotarget2018
Transcriptome analysis reveals a long non-coding RNA signature to improve biochemical recurrence prediction in prostate cancer.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessment of biochemical recurrence of prostate cancer (Review).International journal of oncology · 2019Pooled it
- Mutator-Derived lncRNA Landscape: A Novel Insight Into the Genomic Instability of Prostate Cancer.Frontiers in oncology · 2022Article
- A DNA methylation profile of long non-coding RNAs can predict OS in prostate cancer.Bioengineered · 2021Article
- Article
- Should androgen deprivation therapy and other systemic treatments be used in men with prostate cancer and a rising PSA post-local treatments?Therapeutic advances in medical oncology · 2021Review
- Coexpression Network Analysis Identifies a Novel Nine-RNA Signature to Improve Prognostic Prediction for Prostate Cancer Patients.BioMed research international · 2020Article
- Identification of a Six-lncRNA Signature With Prognostic Value for Breast Cancer Patients.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite highly successful treatments for localized prostate cancer (PCa), prognostic biomarkers are needed to improve patient management and prognosis. Accumulating evidence suggests that long noncoding RNAs (lncRNAs) are key regulators with biological and clinical significance. By transcriptome analysis, we identified a set of consistently dysregulated lncRNAs in PCa across different datasets and revealed an eight-lncRNA signature that significantly associated with the biochemical recurrence (BCR)-free survival. Based on the signature, patients could be classified into high- and low-risk groups with significantly different survival (HR = 2.19; 95% CI = 1.67-2.88;
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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.