Disease Score gda Association Type Type Original DB Sentence supporting the association PMID PMID Year
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE The detection of prostate cancer (PCa) biomarkers in bodily fluids, a process known as liquid biopsy, is a promising approach and particularly beneficial when performed in urine samples due to their maximal non-invasiveness requirement of collection. 31807193 2019
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE The current best PCa biomarker (level of prostate-specific antigen in serum) lacks specificity for PCa diagnostics and this is why novel PCa biomarkers in addition to the conventional ones based on biomolecules such as DNA, RNA and proteins need to be identified. 30451032 2019
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE With the advances in deep sequencing technology, a series of new PCa biomarkers have been recently proposed to improve the diagnostic value of PSA, such as prostate cancer antigen 3 (PCA3), TMPRSS2-ETS fusion gene, microRNA, and other regulatory non-coding RNAs. 31421692 2019
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE Copy number variations in regions encompassing important PCa genes were predictive of cancer significance and have the potential to identify men with LRP PCa by needle biopsy who have IHRP PCa in their prostate gland. 30611450 2019
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 AlteredExpression disease BEFREE RNA-Seq analysis of the putative DTC population collected from samples above (3 patients) and below (5 patients) the threshold of 4 putative DTCs per million showed increased expression of PCa marker genes in 4 of 8 patients with localized PCa, but not the one normal donor who had the putative DTC population present. 31449673 2019
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE Extensive efforts have recently been made to identify and commercialize novel PCa biomarkers for more effective detection of PCa, either alone or in combination with current screening methods. 30363496 2018
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE This investigation aimed to modify finasteride (1) to finasteride dithiocarbamate (2) for subsequent synthesis of the rhenium analogue (3) and [<sup>99m</sup> Tc]tricarbonyl complexes (4), to assess its prostate cancer (PCa) targeting potential in a rat model. 29532957 2018
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE The importance to investigate populations of circulating EVs would be of great importance as prostate cancer (PCa) biomarkers. 29951374 2018
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE For these reasons, there is an urgent need for more accurate PCa biomarkers that can detect PCa with high sensitivity and specificity. 30197761 2018
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE We investigated whether serum testosterone and testosterone/prostate-specific antigen ratio (T/PSA) might be prostate cancer (PCa) biomarkers. 28752596 2018
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE New PCa biomarkers have been proposed to improve the accuracy of PSA in the management of early PCa. 29844697 2018
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE In the present study, we aimed to investigate whether hydrostatic filtration dialysis (HFD) is suitable for urinary EVs (UEVs) isolation and whether such reported PCa-related miRNAs can be detected in UEVs as PCa biomarkers. 28617988 2017
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE Also, our study indicates that miR-3622a is a novel PCa biomarker and potential drug target for developing therapeutic regimens against advanced PCa. 28498363 2017
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE An optically transparent patterned indium tin oxide (ITO) three-electrode sensor integrated with a microfluidic channel was designed for label-free immunosensing of prostate-specific membrane antigen (PSMA), a prostate cancer (PCa) biomarker, expressed on prostate tissue and circulating tumor cells but also found in serum. 28445813 2017
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 AlteredExpression disease BEFREE In this review, we examine the miRNAs most commonly observed to be de-regulated in PCa gene expression analyses and review the potential contribution of these miRNAs to important pathways in PCa initiation and progression. 27056344 2017
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE Early prostate cancer (PCa) diagnostic is crucial to enhance patient survival rates; besides, non-invasive platforms have been developed worldwide in order to precisely detect PCa biomarkers. 29032455 2017
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE A new generation of prostate cancer (PCa) biomarkers has emerged, including diagnostic serum and urine markers aimed at refining the identification high-grade tumors and tissue-based gene expression assays offering prognostic and predictive clinical information. 27023445 2016
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE In blind studies, the five miRNA PCa biomarkers were able to differentiate patients with VHR PCas from those with LR forms as well as healthy individuals with at least 89% accuracy. 27601638 2016
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE The TMPRSS2:ERG gene fusion is one of a series of highly promising prostate cancer (PCa) biomarker alternatives to the controversial serum PSA. 27470540 2016
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE Current prostate cancer (PCa) biomarkers such as PSA are not optimal in distinguishing cancer from benign prostate diseases and predicting disease outcome. 25686826 2015
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE The present review describes several in vitro studies that demonstrate the role of vesicles in PCa progression and several in vivo studies that highlight the potential use of vesicles as PCa biomarkers. 24707491 2014
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 AlteredExpression disease BEFREE Prostate cancer (PCa) gene expression marker 1 (PCGEM1), a long noncoding RNA, has drawn increasing attention for its important role in PCa. 23459097 2013
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE We constructed PCa genes specific transcription regulatory networks, finding several important genetic regulators for PCa, such as IGF-1/IGF-2 receptors, SP1, CREB1, and androgen receptor (AR). 24564736 2013
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 GeneticVariation disease BEFREE Previous CRAds used in prostate cancer (PCa) gene therapy require androgens to activate prostate-specific promoters and induce viral replication. 23764901 2013
CUI: C0376358
Disease: Malignant neoplasm of prostate
Malignant neoplasm of prostate
0.100 Biomarker disease BEFREE We used known prostate cancer (PCa) genes (identified through KnowledgeNet) as a training set to build a binary logistic regression model identifying PCa genes. 23166609 2012