ArticleOncotarget2017
Biomarkers identified for prostate cancer patients through genome-scale screening.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed, 22 citations in OpenAlex.
- SPOCK: Master regulator of malignant tumors (Review).Molecular medicine reports · 2024Review
- The Potential of Extracellular Matrix- and Integrin Adhesion Complex-Related Molecules for Prostate Cancer Biomarker Discovery.Biomedicines · 2023Review
- Mechanism of prognostic marker SPOCK3 affecting malignant progression of prostate cancer and construction of prognostic model.BMC cancer · 2023Article
- Genes associated with diagnosis and prognosis of Burkitt lymphoma.IET systems biology · 2022Article
- The Gene Expression Landscape of Prostate Cancer BM Reveals Close Interaction with the Bone Microenvironment.International journal of molecular sciences · 2022Article
- Increased SPON1 promotes pancreatic ductal adenocarcinoma progression by enhancing IL-6 trans-signalling.Cell proliferation · 2022Article
- Limitations of Explainability for Established Prognostic Biomarkers of Prostate Cancer.Frontiers in genetics · 2021Article
- The miR-1908/SRM regulatory axis contributes to extracellular vesicle secretion in prostate cancer.Cancer science · 2020Article
- Assessment of the Utility of Gene Positioning Biomarkers in the Stratification of Prostate Cancers.Frontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is a threat to men and usually occurs in aged males. Though prostate specific antigen level and Gleason score are utilized for evaluation of the prostate cancer in clinic, the biomarkers for this malignancy have not been widely recognized. Furthermore, the outcome varies across individuals receiving comparable treatment regimens and the underlying mechanism is still unclear. We supposed that genetic feature may be responsible for, at least in part, this process and conducted a two-cohort study to compare the genetic difference in tumorous and normal tissues of prostate cancer patients. The Gene Expression Omnibus dataset were used and a total of 41 genes were found significantly differently expressed in tumor tissues as compared with normal prostate tissues. Four genes (SPOCK3, SPON1, PTN and TGFB3) were selected for further evaluation after Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis and clinical association analysis. MIR1908 was also found decreased expression level in prostate cancer whose target genes were found expressing in both prostate tumor and normal tissues. These results indicated that these potential biomarkers deserve attention in prostate cancer patients and the underlying mechanism should be further investigated.
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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.