ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
Diagnostic and prognostic values of tissue hsa-miR-30c and hsa-miR-203 in prostate carcinoma.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 16 citations in OpenAlex.
- Non-Coding RNA Biomarkers in Prostate Cancer: Evidence Mapping and In Silico Characterization.Life (Basel, Switzerland) · 2026Article
- Article
- MicroRNA-21 and microRNA-30c as diagnostic biomarkers for prostate cancer: a meta-analysis.Cancer management and research · 2019Article
- Expression of miR-30c and miR-29b in prostate cancer and its diagnostic significance.Oncology letters · 2018Article
- miR‑30c suppresses prostate cancer survival by targeting the ASF/SF2 splicing factor oncoprotein.Molecular medicine reports · 2017Article
- MicroRNA-203 predicts human survival after resection of colorectal liver metastasis.Oncotarget · 2017Article
- MicroRNAs as Biomarkers for Diagnosis, Prognosis and Theranostics in Prostate Cancer.International journal of molecular sciences · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PCa) has become a prevalent malignant disease in males globally. Accumulating data suggested that hsa-microRNAs (miRNAs) could be potential biomarkers for tumor diagnosis due to their important roles in the cell cycle. This study investigated the diagnostic and prognostic values of hsa-miR-203 and hsa-miR-30c in PCa tissues. There were 44 pathologically confirmed PCa patients who were enrolled in this study. Tissue samples were collected from both tumor tissues and adjacent normal tissues. RNA was extracted and the expression levels of hsa-miR-203 and hsa-miR-30c in tumor and normal tissues were compared. The receiver operating characteristic (ROC) curves were plotted to evaluate the reliability of hsa-miR-203 and hsa-miR-30c in detecting PCa. All subjects in this study were followed up by 36 months, and the Kaplan-Meier method was conducted to investigate the survival status of PCa patients. The average relative expressions of hsa-miR-203 and hsa-miR-30c in tumor tissues were significantly different from those in adjacent normal tissues (P < 0.001), and the predictive power of the two hsa-miRNAs for PCa prognosis was reliable. Besides that, the average survival times of low-hsa-miR-30c and high-hsa-miR-203 groups were significantly lower than those of the corresponding groups with the log-rank P of 0.015 and 0.023, respectively. In summary, our study suggested that both hsa-miR-203 and hsa-miR-30c are potential biomarkers for detection and prognosis of PCa.
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.