Prostate cancer: from the pathophysiologic implications of some genetic risk factors to translation in personalized cancer treatments

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Abstract

Several pathologies affect human prostate, such as prostate cancer (PC), which is the most common non-skin malignant cancer in Western male populations. A complex interaction between genetic and environmental factors (i.e. infectious agents, dietary carcinogens) and hormonal imbalances has been reported to have a fundamental role in PC pathophysiology by evoking chronic inflammation. Thus, chronic inflammation drives prostate carcinogenesis and neoplastic progression. No adequate biomarkers exist until now to guide PC prognosis and treatment. Accordingly, the research has particularly focused its attention on genetic variants in genes, codifying molecules of signaling innate immune/inflammatory and steroid metabolism pathways, which are able to modify the PC genetic susceptibility and clinical disease outcome. Single-nucleotide polymorphisms (SNPs) may operate in combination to create a 'risk profile'. Combinations of several inflammatory and sex steroid hormone pathway SNPs are found in PC patients. Thus, their combinations might be used as promising biomarkers in a pre- and post-treatment clinical PC setting. Indeed, their identification may hold promise for the realization of a personalized PC medicine. Many of these aspects are summarized in this report through the elucidation of literature data and the results of our studies.
Lingua originaleEnglish
pagine (da-a)2-11
Numero di pagine10
RivistaCancer Gene Therapy
Volume21
Stato di pubblicazionePublished - 2014

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Prostatic Neoplasms
Neoplasms
Therapeutics
Single Nucleotide Polymorphism
Prostate
Biomarkers
Inflammation
Gonadal Steroid Hormones
Genetic Predisposition to Disease
Carcinogens
Carcinogenesis
Steroids
Medicine
Pathology
Research
Population
Genes

All Science Journal Classification (ASJC) codes

  • Cancer Research
  • Molecular Biology
  • Molecular Medicine

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title = "Prostate cancer: from the pathophysiologic implications of some genetic risk factors to translation in personalized cancer treatments",
abstract = "Several pathologies affect human prostate, such as prostate cancer (PC), which is the most common non-skin malignant cancer in Western male populations. A complex interaction between genetic and environmental factors (i.e. infectious agents, dietary carcinogens) and hormonal imbalances has been reported to have a fundamental role in PC pathophysiology by evoking chronic inflammation. Thus, chronic inflammation drives prostate carcinogenesis and neoplastic progression. No adequate biomarkers exist until now to guide PC prognosis and treatment. Accordingly, the research has particularly focused its attention on genetic variants in genes, codifying molecules of signaling innate immune/inflammatory and steroid metabolism pathways, which are able to modify the PC genetic susceptibility and clinical disease outcome. Single-nucleotide polymorphisms (SNPs) may operate in combination to create a 'risk profile'. Combinations of several inflammatory and sex steroid hormone pathway SNPs are found in PC patients. Thus, their combinations might be used as promising biomarkers in a pre- and post-treatment clinical PC setting. Indeed, their identification may hold promise for the realization of a personalized PC medicine. Many of these aspects are summarized in this report through the elucidation of literature data and the results of our studies.",
author = "Giuseppina Candore and Domenico Lio and Balistreri, {Carmela Rita} and Giuseppe Carruba",
year = "2014",
language = "English",
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T1 - Prostate cancer: from the pathophysiologic implications of some genetic risk factors to translation in personalized cancer treatments

AU - Candore, Giuseppina

AU - Lio, Domenico

AU - Balistreri, Carmela Rita

AU - Carruba, Giuseppe

PY - 2014

Y1 - 2014

N2 - Several pathologies affect human prostate, such as prostate cancer (PC), which is the most common non-skin malignant cancer in Western male populations. A complex interaction between genetic and environmental factors (i.e. infectious agents, dietary carcinogens) and hormonal imbalances has been reported to have a fundamental role in PC pathophysiology by evoking chronic inflammation. Thus, chronic inflammation drives prostate carcinogenesis and neoplastic progression. No adequate biomarkers exist until now to guide PC prognosis and treatment. Accordingly, the research has particularly focused its attention on genetic variants in genes, codifying molecules of signaling innate immune/inflammatory and steroid metabolism pathways, which are able to modify the PC genetic susceptibility and clinical disease outcome. Single-nucleotide polymorphisms (SNPs) may operate in combination to create a 'risk profile'. Combinations of several inflammatory and sex steroid hormone pathway SNPs are found in PC patients. Thus, their combinations might be used as promising biomarkers in a pre- and post-treatment clinical PC setting. Indeed, their identification may hold promise for the realization of a personalized PC medicine. Many of these aspects are summarized in this report through the elucidation of literature data and the results of our studies.

AB - Several pathologies affect human prostate, such as prostate cancer (PC), which is the most common non-skin malignant cancer in Western male populations. A complex interaction between genetic and environmental factors (i.e. infectious agents, dietary carcinogens) and hormonal imbalances has been reported to have a fundamental role in PC pathophysiology by evoking chronic inflammation. Thus, chronic inflammation drives prostate carcinogenesis and neoplastic progression. No adequate biomarkers exist until now to guide PC prognosis and treatment. Accordingly, the research has particularly focused its attention on genetic variants in genes, codifying molecules of signaling innate immune/inflammatory and steroid metabolism pathways, which are able to modify the PC genetic susceptibility and clinical disease outcome. Single-nucleotide polymorphisms (SNPs) may operate in combination to create a 'risk profile'. Combinations of several inflammatory and sex steroid hormone pathway SNPs are found in PC patients. Thus, their combinations might be used as promising biomarkers in a pre- and post-treatment clinical PC setting. Indeed, their identification may hold promise for the realization of a personalized PC medicine. Many of these aspects are summarized in this report through the elucidation of literature data and the results of our studies.

UR - http://hdl.handle.net/10447/90870

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JF - Cancer Gene Therapy

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