Literature DB >> 29592867

Periprostatic fat tissue transcriptome reveals a signature diagnostic for high-risk prostate cancer.

Stefano Mangiola1,2,3, Ryan Stuchbery1, Geoff Macintyre4,5,6, Michael J Clarkson1, Justin S Peters7, Anthony J Costello1,2,7, Christopher M Hovens1,2,7, Niall M Corcoran1,2,7,8.   

Abstract

Evidence suggests that altered adipose tissue homeostasis may be an important contributor to the development and/or progression of prostate cancer. In this study, we investigated the adipose transcriptional profiles of low- and high-risk disease to determine both prognostic potential and possible biological drivers of aggressive disease. RNA was extracted from periprostatic adipose tissue from patients categorised as having prostate cancer with either a low or high risk of progression based on tumour characteristics at prostatectomy and profiled by RNA sequencing. The expression of selected genes was then quantified by qRT-PCR in a cross-validation cohort. In the first phase, a total of 677 differentially transcribed genes were identified, from which a subset of 14 genes was shortlisted. In the second phase, a 3 gene (IGHA1, OLFM4, RERGL) signature was refined and evaluated using recursive feature selection and cross-validation, obtaining a promising discriminatory utility (area under curve 0.72) at predicting the presence of high-risk disease. Genes implicated in immune and/or inflammatory responses predominated. Periprostatic adipose tissue from patients with high-risk prostate cancer has a distinct transcriptional signature that may be useful for detecting its occult presence. Differential expression appears to be driven by a local immune/inflammatory reaction to more advanced tumours, than any specific adipose tissue-specific tumour-promoting mechanism. This signature is transferable into a clinically usable PCR-based assay, which in a cross-validation cohort shows diagnostic potential.
© 2018 Society for Endocrinology.

Entities:  

Keywords:  diagnostics; periprostatic adipose; prostate

Mesh:

Year:  2018        PMID: 29592867     DOI: 10.1530/ERC-18-0058

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  11 in total

1.  Pre-treatment ratio of periprostatic to subcutaneous fat thickness on MRI is an independent survival predictor in hormone-naïve men with advanced prostate cancer.

Authors:  Takeshi Sasaki; Yusuke Sugino; Manabu Kato; Kouhei Nishikawa; Hideki Kanda
Journal:  Int J Clin Oncol       Date:  2019-10-15       Impact factor: 3.402

2.  Multimetric feature selection for analyzing multicategory outcomes of colorectal cancer: random forest and multinomial logistic regression models.

Authors:  Catherine H Feng; Mary L Disis; Chao Cheng; Lanjing Zhang
Journal:  Lab Invest       Date:  2021-09-18       Impact factor: 5.662

3.  Androgen deprivation therapy promotes an obesity-like microenvironment in periprostatic fat.

Authors:  Stefano Mangiola; Ryan Stuchbery; Patrick McCoy; Ken Chow; Natalie Kurganovs; Michael Kerger; Anthony Papenfuss; Christopher M Hovens; Niall M Corcoran
Journal:  Endocr Connect       Date:  2019-05-01       Impact factor: 3.335

4.  Identification of a Transcriptomic Prognostic Signature by Machine Learning Using a Combination of Small Cohorts of Prostate Cancer.

Authors:  Benjamin Vittrant; Mickael Leclercq; Marie-Laure Martin-Magniette; Colin Collins; Alain Bergeron; Yves Fradet; Arnaud Droit
Journal:  Front Genet       Date:  2020-11-25       Impact factor: 4.599

5.  Identification of genes that correlate clear cell renal cell carcinoma and obesity and exhibit potential prognostic value.

Authors:  Jiale Zhou; Zhaolin Yang; Xiaorong Wu; Jin Zhang; Wei Zhai; Yonghui Chen
Journal:  Transl Androl Urol       Date:  2021-02

Review 6.  Thromboinflammatory Processes at the Nexus of Metabolic Dysfunction and Prostate Cancer: The Emerging Role of Periprostatic Adipose Tissue.

Authors:  Ibrahim AlZaim; Aya Al-Saidi; Safaa H Hammoud; Nadine Darwiche; Yusra Al-Dhaheri; Ali H Eid; Ahmed F El-Yazbi
Journal:  Cancers (Basel)       Date:  2022-03-25       Impact factor: 6.639

7.  Transcriptome sequencing and multi-plex imaging of prostate cancer microenvironment reveals a dominant role for monocytic cells in progression.

Authors:  Niall M Corcoran; Anthony T Papenfuss; Christopher M Hovens; Stefano Mangiola; Patrick McCoy; Martin Modrak; Fernando Souza-Fonseca-Guimaraes; Daniel Blashki; Ryan Stuchbery; Simon P Keam; Michael Kerger; Ken Chow; Chayanica Nasa; Melanie Le Page; Natalie Lister; Simon Monard; Justin Peters; Phil Dundee; Scott G Williams; Anthony J Costello; Paul J Neeson; Bhupinder Pal; Nicholas D Huntington
Journal:  BMC Cancer       Date:  2021-07-22       Impact factor: 4.430

8.  Autophagy inhibition in 3T3-L1 adipocytes breaks the crosstalk with tumor cells by suppression of adipokine production.

Authors:  Sung-Hee Hwang; Michael Lee
Journal:  Anim Cells Syst (Seoul)       Date:  2019-12-08       Impact factor: 1.815

9.  Prognostic Value of CT-Attenuation and 18F-Fluorodeoxyglucose Uptake of Periprostatic Adipose Tissue in Patients with Prostate Cancer.

Authors:  Jeong Won Lee; Youn Soo Jeon; Ki Hong Kim; Hee Jo Yang; Chang Ho Lee; Sang Mi Lee
Journal:  J Pers Med       Date:  2020-10-22

10.  Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.

Authors:  Yu Zhang; Jia Luo; Zhe Liu; Xudong Liu; Ying Ma; Bohang Zhang; Yuxuan Chen; Xiaofeng Li; Zhiguo Feng; Ningning Yang; Dayun Feng; Lei Wang; Xinqiang Song
Journal:  Biosci Rep       Date:  2021-07-30       Impact factor: 3.840

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