Changes in prostate gene expression in men undergoing an intensive nutrition and lifestyle intervention

Epidemiological and prospective studies indicate that comprehensive lifestyle changes may modify the progression of prostate cancer. However, the molecular mechanisms by which improvements in diet and lifestyle might affect the prostate microenvironment are poorly understood. We conducted a pilot study to examine changes in prostate gene expression in a unique population of men with low-risk prostate cancer who declined immediate surgery, hormonal therapy, or radiation and participated in an intensive nutrition and lifestyle intervention while undergoing careful surveillance for tumor progression. Consistent with previous studies, significant improvements in weight, abdominal obesity, blood pressure, and lipid profile were observed (all P < 0.05), and surveillance of low-risk patients was safe. Gene expression profiles were obtained from 30 participants, pairing RNA samples from control prostate needle biopsy taken before intervention to RNA from the same patient's 3-month postintervention biopsy. Quantitative real-time PCR was used to validate array observations for selected transcripts. Two-class paired analysis of global gene expression using significance analysis of microarrays detected 48 up-regulated and 453 down-regulated transcripts after the intervention. Pathway analysis identified significant modulation of biological processes that have critical roles in tumorigenesis, including protein metabolism and modification, intracellular protein traffic, and protein phosphorylation (all P < 0.05). Intensive nutrition and lifestyle changes may modulate gene expression in the prostate. Understanding the prostate molecular response to comprehensive lifestyle changes may strengthen efforts to develop effective prevention and treatment. Larger clinical trials are warranted to confirm the results of this pilot study.

[1]  R. Elashoff,et al.  Feasibility of a low-fat/high-fiber diet intervention with soy supplementation in prostate cancer patients after prostatectomy , 2008, European Journal of Clinical Nutrition.

[2]  Eivind Hovig,et al.  MArray: analysing single, replicated or reversed microarray experiments , 2002, Bioinform..

[3]  Stijn van Dongen,et al.  miRBase: tools for microRNA genomics , 2007, Nucleic Acids Res..

[4]  P. Walsh,et al.  Expectant management of nonpalpable prostate cancer with curative intent: preliminary results. , 2002, The Journal of urology.

[5]  Yudong D. He,et al.  Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer , 2001, Nature Biotechnology.

[6]  Y. Nikolsky,et al.  Nutrigenomics: concepts and applications to pharmacogenomics and clinical medicine. , 2007, Pharmacogenomics.

[7]  M. Campbell,et al.  PANTHER: a library of protein families and subfamilies indexed by function. , 2003, Genome research.

[8]  J. Meyerhardt,et al.  Impact of physical activity on cancer recurrence and survival in patients with stage III colon cancer: findings from CALGB 89803. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[9]  E. Brown,et al.  Quantitative analysis of mRNA amplification by in vitro transcription. , 2001, Nucleic acids research.

[10]  B. Ljung,et al.  The gene expression signatures of melanoma progression , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Barbara Gandek,et al.  Sf-12v2 How to score version 2 of the sf-12 health survey. Quality Metric Incorporated , 2002 .

[12]  L. Penland,et al.  Use of a cDNA microarray to analyse gene expression patterns in human cancer , 1996, Nature Genetics.

[13]  Peter H Gann,et al.  Overdiagnosis due to prostate-specific antigen screening: lessons from U.S. prostate cancer incidence trends. , 2002, Journal of the National Cancer Institute.

[14]  A W Partin,et al.  Use of the percentage of free prostate-specific antigen to enhance differentiation of prostate cancer from benign prostatic disease: a prospective multicenter clinical trial. , 1998, JAMA.

[15]  N. Mendell,et al.  Intensive lifestyle changes may affect the progression of prostate cancer. , 2005, The Journal of urology.

[16]  Robert M Elashoff,et al.  Dietary fat reduction and breast cancer outcome: interim efficacy results from the Women's Intervention Nutrition Study. , 2007, Journal of the National Cancer Institute.

[17]  David Botstein,et al.  SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data , 2003, Nucleic Acids Res..

[18]  J. Epstein,et al.  The Utility of Basal Cell—Specific Anti‐Cytokeratin Antibody (34βE12) in the Diagnosis of Prostate Cancer: A Review of 228 Cases , 1995, The American journal of surgical pathology.

[19]  Christine Chi,et al.  Lifestyle and health-related quality of life of men with prostate cancer managed with active surveillance. , 2006, Urology.

[20]  E. Giovannucci,et al.  Role of diet in prostate cancer development and progression. , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[21]  A. Lechtermann,et al.  Exercise affects the gene expression profiles of human white blood cells. , 2007, Journal of applied physiology.

[22]  P. Clarke,et al.  Cell Biology: Ran, Mitosis and the Cancer Connection , 2006, Current Biology.

[23]  T. Uchida,et al.  The ratio of free to total serum prostate specific antigen and its use in differential diagnosis of prostate carcinoma in japan , 1997, Cancer.

[24]  L. Niskanen,et al.  Dietary carbohydrate modification induces alterations in gene expression in abdominal subcutaneous adipose tissue in persons with the metabolic syndrome: the FUNGENUT Study. , 2007, The American journal of clinical nutrition.

[25]  Xin Yu,et al.  Heterogeneous expression and functions of androgen receptor co-factors in primary prostate cancer. , 2002, The American journal of pathology.

[26]  E. Wynder,et al.  Comparative epidemiology of cancers of the colon, rectum, prostate and breast in Shanghai, China versus the United States. , 1991, International journal of epidemiology.

[27]  M. Horowitz,et al.  Impact of Event Scale: A Measure of Subjective Stress , 1979, Psychosomatic medicine.

[28]  G. W. Hatfield,et al.  Effects of exercise on gene expression in human peripheral blood mononuclear cells. , 2004, Journal of applied physiology.

[29]  K. Gould,et al.  Intensive lifestyle changes for reversal of coronary heart disease. , 1998, JAMA.

[30]  B. Tombal,et al.  Free to total prostate‐specific antigen (PSA) ratio is superior to total‐PSA in differentiating benign prostate hypertrophy from prostate cancer , 1996, The Prostate. Supplement.

[31]  Matthew R Cooperberg,et al.  Contemporary trends in low risk prostate cancer: risk assessment and treatment. , 2007, The Journal of urology.

[32]  M. Nosrati,et al.  Osteopontin as a molecular prognostic marker for melanoma , 2008, Cancer.

[33]  M. Mason,et al.  The prevalence and predictors of psychological distress in patients with early localized prostate cancer , 2002, BJU international.

[34]  L. Klotz Low-risk prostate cancer can and should often be managed with active surveillance and selective delayed intervention , 2008, Nature Clinical Practice Urology.

[35]  B. Tombal,et al.  Free to total prostate-specific antigen (PSA) ratio improves the discrimination between prostate cancer and benign prostatic hyperplasia (BPH) in the diagnostic gray zone of 1.8 to 10 ng/mL total PSA. , 1996, Urology.

[36]  Pablo Rodriguez-Viciana,et al.  A phosphatase holoenzyme comprised of Shoc2/Sur8 and the catalytic subunit of PP1 functions as an M-Ras effector to modulate Raf activity. , 2006, Molecular cell.

[37]  E. Rimm,et al.  Diet After Diagnosis and the Risk of Prostate Cancer Progression, Recurrence, and Death (United States) , 2006, Cancer Causes & Control.

[38]  Stacey A. Kenfield,et al.  Diet and Lifestyle Interventions in Active Surveillance Patients with Favorable-Risk Prostate Cancer , 2007, Current treatment options in oncology.

[39]  F. Baehner,et al.  Prognostic significance of nuclear receptor coactivator-3 overexpression in primary cutaneous melanoma. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[40]  T. Downs,et al.  Potential Attenuation of Disease Progression in Recurrent Prostate Cancer With Plant-Based Diet and Stress Reduction , 2006, Integrative cancer therapies.

[41]  P. Carroll,et al.  Dietary trial in prostate cancer: Early experience and implications for clinical trial design. , 2001, Urology.

[42]  P. Arner,et al.  Changes in Adipose Tissue Gene Expression with Energy-restricted Diets in Obese Women , 2022 .

[43]  Ming Zhang,et al.  Sno/scaRNAbase: a curated database for small nucleolar RNAs and cajal body-specific RNAs , 2006, Nucleic Acids Res..

[44]  Terrence S. Furey,et al.  The UCSC Genome Browser Database , 2003, Nucleic Acids Res..

[45]  Kay Nieselt,et al.  cDNA microarray analysis reveals novel candidate genes expressed in human peripheral blood following exhaustive exercise. , 2005, Physiological genomics.

[46]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.