Literature DB >> 34249429

MiR-19b-3p and miR-101-3p as potential biomarkers for prostate cancer diagnosis and prognosis.

Rocío B Duca1, Cintia Massillo1, Guillermo N Dalton1, Paula L Farré1, Karen D Graña1, Kevin Gardner2, Adriana De Siervi1.   

Abstract

Prostate cancer (PCa) is the most commonly diagnosed male malignancy worldwide. Early diagnosis and metastases detection are crucial features to diminish patient mortality. High fat diet (HFD) and metabolic syndrome increase PCa risk and aggressiveness. Our goal was to identify miRNAs-based biomarkers for PCa diagnosis and prognosis associated with HFD. Mice chronically fed with a HFD or control diet (CD) were subcutaneously inoculated with androgen insensitive PC3 cells. Xenografts from HFD-fed mice showed increased expression of 7 miRNAs that we named "candidates" compared to CD-fed mice. These miRNAs modulate specific metabolic and cancer related pathways. Using bioinformatic tools and human datasets we found that hsa-miR-19b-3p and miR-101-3p showed more than 1,100 validated targets involved in proteoglycans in cancer and fatty acid biosynthesis. These miRNAs were significantly increased in the bloodstream of PCa patients compared to non-PCa volunteers, and in prostate tumors compared to normal adjacent tissues (NAT). Interestingly, both miRNAs were also increased in tumors of metastatic patients compared to tumors of non-metastatic patients. Further receiver-operating characteristic (ROC) analysis determined that hsa-miR-19b-3p and hsa-miR-101-3p in serum showed poor predictive power to discriminate PCa from non-PCa patients. Hsa-miR-19b-3p showed the best score to discriminate between tumor and NAT, while hsa-miR-101-3p was useful to differentiate between metastatic and non-metastatic PCa patients. Hsa-miR-101-3p was increased in exosomes isolated from blood of PCa patients. Although more detailed functional exploration and validation of the molecular mechanisms are required, we identified hsa-miR-19b-3p and hsa-miR-101-3p with high potential for PCa diagnosis and prognosis. AJCR
Copyright © 2021.

Entities:  

Keywords:  High fat diet; biomarker; miR-101-3p; miR-19b-3p; prostate cancer

Year:  2021        PMID: 34249429      PMCID: PMC8263646     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  45 in total

1.  Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report.

Authors: 
Journal:  Circulation       Date:  2002-12-17       Impact factor: 29.690

2.  RLIP76-dependent suppression of PI3K/AKT/Bcl-2 pathway by miR-101 induces apoptosis in prostate cancer.

Authors:  Jing Yang; Qi Song; Yi Cai; Peng Wang; Min Wang; Dong Zhang
Journal:  Biochem Biophys Res Commun       Date:  2015-06-09       Impact factor: 3.575

3.  Prostate tumor growth is impaired by CtBP1 depletion in high-fat diet-fed mice.

Authors:  Cristian P Moiola; Paola De Luca; Florencia Zalazar; Javier Cotignola; Santiago A Rodríguez-Seguí; Kevin Gardner; Roberto Meiss; Pablo Vallecorsa; Omar Pignataro; Osvaldo Mazza; Elba S Vazquez; Adriana De Siervi
Journal:  Clin Cancer Res       Date:  2014-05-19       Impact factor: 12.531

Review 4.  Implications of microRNA dysregulation in the development of prostate cancer.

Authors:  Cintia Massillo; Guillermo N Dalton; Paula L Farré; Paola De Luca; Adriana De Siervi
Journal:  Reproduction       Date:  2017-10       Impact factor: 3.906

5.  miR-17-92 plays an oncogenic role and conveys chemo-resistance to cisplatin in human prostate cancer cells.

Authors:  Peng Zhou; Liang Ma; Jun Zhou; Min Jiang; Enyu Rao; Yong Zhao; Feng Guo
Journal:  Int J Oncol       Date:  2016-02-15       Impact factor: 5.650

6.  Laminin-1 and alpha6beta1 integrin regulate acinar morphogenesis of normal and malignant human prostate epithelial cells.

Authors:  D Bello-DeOcampo; H K Kleinman; N D Deocampo; M M Webber
Journal:  Prostate       Date:  2001-02-01       Impact factor: 4.104

Review 7.  MicroRNAs: novel regulators in the hallmarks of human cancer.

Authors:  Kai Ruan; Xiaoguang Fang; Gaoliang Ouyang
Journal:  Cancer Lett       Date:  2009-05-22       Impact factor: 8.679

8.  Biomarker microRNAs for prostate cancer metastasis: screened with a network vulnerability analysis model.

Authors:  Yuxin Lin; Feifei Chen; Li Shen; Xiaoyu Tang; Cui Du; Zhandong Sun; Huijie Ding; Jiajia Chen; Bairong Shen
Journal:  J Transl Med       Date:  2018-05-21       Impact factor: 5.531

9.  CTBP1 depletion on prostate tumors deregulates miRNA/mRNA expression and impairs cancer progression in metabolic syndrome mice.

Authors:  Guillermo Nicolás Dalton; Cintia Massillo; Georgina Daniela Scalise; Rocío Duca; Juliana Porretti; Paula Lucia Farré; Kevin Gardner; Alejandra Paez; Geraldine Gueron; Paola De Luca; Adriana De Siervi
Journal:  Cell Death Dis       Date:  2019-04-01       Impact factor: 8.469

10.  Four microRNAs promote prostate cell proliferation with regulation of PTEN and its downstream signals in vitro.

Authors:  Ling Tian; Yu-xiang Fang; Jing-lun Xue; Jin-zhong Chen
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

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  1 in total

Review 1.  Regulation of Neuroendocrine-like Differentiation in Prostate Cancer by Non-Coding RNAs.

Authors:  Eva Slabáková; Zuzana Kahounová; Jiřina Procházková; Karel Souček
Journal:  Noncoding RNA       Date:  2021-12-02
  1 in total

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