ReviewBioMed research international2014
Novel RNA markers in prostate cancer: functional considerations and clinical translation.
Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- LncRNA expression in prostate cancer: FromNon-coding RNA research · 2026Article
- Role of non-coding RNA in lineage plasticity of prostate cancer.Cancer gene therapy · 2025Review
- Bioinformatics-Assisted Extraction of All PCa miRNAs and their Target Genes.MicroRNA (Shariqah, United Arab Emirates) · 2024Article
- Beyond the Genome: Deciphering the Role of MALAT1 in Breast Cancer Progression.Current genomics · 2024Review
- Molecular basis and therapeutic targets in prostate cancer: A comprehensive review.Biomolecules & biomedicine · 2023Review
- Review
- Long non-coding RNA in prostate cancer.American journal of clinical and experimental urology · 2022Review
- Androgen Receptor-Related Non-coding RNAs in Prostate Cancer.Frontiers in cell and developmental biology · 2021Review
- Integrating biomarkers across omic platforms: an approach to improve stratification of patients with indolent and aggressive prostate cancer.Molecular oncology · 2018Article
- Novel biomarkers for the detection of prostate cancer.Journal of clinical urology · 2016Article
- Ago-RIP-Seq identifies Polycomb repressive complex I member CBX7 as a major target of miR-375 in prostate cancer progression.Oncotarget · 2016Article
- Clinical prospects of long noncoding RNAs as novel biomarkers and therapeutic targets in prostate cancer.Prostate cancer and prostatic diseases · 2016Review
- Long noncoding RNAs in development and cancer: potential biomarkers and therapeutic targets.Molecular and cellular therapies · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The availability of ultra-high throughput DNA and RNA sequencing technologies in recent years has led to the identification of numerous novel transcripts, whose functions are unknown as yet. Evidence is accumulating that many of these molecules are deregulated in diseases, including prostate cancer, and potentially represent novel targets for diagnosis and therapy. In particular, functional genomic analysis of microRNA (miRNA) and long noncoding RNA (lncRNA) in cancer is likely to contribute insights into tumor development. Here, we compile recent efforts to catalog differential expression of miRNA and lncRNA in prostate cancer and to understand RNA function in tumor progression. We further highlight technologies for molecular characterization of noncoding RNAs and provide an overview of current activities to exploit them for the diagnosis and therapy of this complex tumor.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.