Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Clinical Research

Association of fatty-acid synthase polymorphisms and expression with outcomes after radical prostatectomy

Abstract

Background:

Fatty-acid synthase (FASN), selectively overexpressed in prostate cancer (PCa) cells, has been described as linked to the aggressiveness of PCa. Constitutional genetic variation of the FASN gene and the expression levels of FASN protein in cancer cells could thus be expected to predict outcome after radical prostatectomy (RP). This study evaluates the associations of malignant tissue status, neoadjuvant androgen deprivation therapy (NADT) and single-nucleotide polymorphisms (SNPs) of FASN with FASN protein expression in prostate tissue. The study then examines the associations of FASN SNPs and gene expression with three measures of post-prostatectomy outcome.

Methods:

Seven tagging FASN SNPs were genotyped in 659 European American men who underwent RP at Roswell Park Cancer Institute between 1993 and 2005. FASN protein expression was assessed using immunohistochemistry. The patients were followed for an average of 6.9 years (range: 0.1–20.6 years). Outcome was assessed using three end points: biochemical failure, treatment failure and development of distant metastatic PCa. Cox proportional hazards analyses were used to evaluate the associations of the tagging SNPs and FASN expression with these end points. Bivariate associations with outcomes were considered; the associations also were controlled for known aggressiveness indicators.

Results:

Overall, no SNPs were associated with any known aggressiveness indicators. FASN staining intensity was stronger in malignant than in benign tissue, and NADT was associated with decreased FASN staining in both benign and malignant tissue. The relationships of FASN SNPs and staining intensity with outcome were less clear. One SNP, rs4246444, showed a weak association with outcome. FASN staining intensity also showed a weak and seemingly contradictory relationship with outcome.

Conclusions:

Additional study with longer follow-up and populations that include more metastatic patients is warranted.

Introduction

Prostate cancer (PCa) remains one of the most frequently diagnosed cancers among men in the United States.1 Since the advent of the PSA test, most PCa cases are diagnosed and treated early in their course, and only a small percentage of patients diagnosed develop aggressive, lethal forms of the disease.1 Unfortunately, identifying patients whose PCa at biopsy is or will become aggressive remains difficult. The parameters currently used to identify patient risk (particularly PSA, but also clinical Gleason sum) are neither specific nor sensitive to aggressive disease.2, 3, 4 This leads to over-diagnosis of PCa among patients who never develop clinically significant disease, yet still misses the potential of some patients to later develop aggressive PCa.2, 3, 4, 5 New predictors of unfavorable outcome, especially metastasis, are needed.3, 5

Fatty-acid synthase (FASN), a key enzyme in de novo lipogenesis, is highly expressed in PCa and high-grade prostatic intraepithelial neoplasia.6, 7, 8, 9 Overexpression of FASN, which may lead to increased proliferation and impart growth and survival advantages to malignant cells,10 has been associated with the recurrence or relapse of a number of cancers.11, 12, 13, 14, 15, 16, 17 At the molecular level, tumor-associated FASN could promote PCa growth in several ways: (1) generating lipids, such as phospholipids, for membrane production;18 (2) providing the components for lipid rafts, which serve as membrane platforms for signal transduction;19 or (3) modifying important signaling molecules at the post-translational level, by palmitoylation and myristoylation.20, 21, 22

Several studies of families and twins have documented a higher risk of PCa among family members of PCa patients; that these associations are especially strong among monozygotic twins suggests that this risk stems from genetic effects.23, 24 Recent advances in genetics have allowed more directed studies of the genetics, and specifically single-nucleotide polymorphisms (SNPs)-inherited variations within coding sequences, non-coding regions or in the intergenic regions of genes associated with indolent PCa, as well as aggressive PCa.25, 26, 27, 28 Most SNPs studied have shown a weak relationship with aggressive PCa, though men with multiple risk alleles may have significantly higher risk of aggressive PCa.29, 30 SNPs can be associated with expression of the gene and the activities of its protein products.31 Polymorphisms of several genes, which include 5α-reductase type 1, 5α-reductase type 2 and PSA, have been shown to be involved in PCa pathogenesis and progression.32, 33 A recently reported retrospective cohort study found germline FASN polymorphisms to be associated with more aggressive PCa.34 These studies suggest a genetic link for more aggressive PCa. Genotyping for SNPs could provide a convenient biomarker for predicting poor PCa prognosis. If genetic variations in the FASN gene and its expression mark a subset of patients at risk for a poor outcome after radical prostatectomy (RP), these patients may benefit from early therapeutic intervention.

This study investigated the association of FASN SNPs and its expression with treatment outcome among a cohort of 659 European American RP patients.

Materials and methods

Patients and data collection

After approval from the Roswell Park Cancer Institute (RPCI) Institutional Review Board, detailed information was collected from the records of 659 European American patients who had undergone open or robotic RP at RPCI between 5 January 1993 and 29 December 2005. Annotating data included clinical stage and Gleason score, surgery date, pathological stage and Gleason score, margin and lymph node status, pre- and post-surgery serum PSA tests and PCa-related treatments and dates before or after RP. Recurrence risk categories have been defined by the National Comprehensive Cancer network;35 of the total of 659 patients, 317 (48%) were low recurrence risk, 261 (40%) were intermediate risk, 74 (11%) were high risk and 7 (1%) were very high risk.

All patients were followed by patient, urologist and primary care practitioner correspondence, to track biochemical recurrence, PCa survival and overall survival.

SNPs, sample preparation and genotyping

Tissue cores (14 g needle, 3–4-mm length) of benign epithelial glands were retrieved from formalin-fixed, paraffin-embedded blocks of the patients. Genomic DNA from the deparaffinized formalin-fixed, paraffin-embedded tissue cores was extracted using the QIAamp Blood and Tissue Kit and BioRobot Universal (Qiagen, Valencia, CA, USA) as per manufacturer instructions. DNA yield and concentration were determined using the PicoGreen dsDNA Quantitation Kit (Invitrogen, Grand Island, NY, USA) and spectrofluorimetric micro-plate reader (Molecular Devices, Sunnyvale, CA, USA).

SNP genotyping was performed using the MassARRAY Compact system (Sequenom, San Diego, CA, USA) on a panel of 54 custom SNP assays designed using RealSNP and MassARRAY Assay Designer (Sequenom).36, 37 PCR amplification of 20 ng DNA using SNP-specific primers (IDT, Coralville, IA, USA) was followed by a base extension reaction, using the iPLEX Gold chemistry (Sequenom). The final base extension products were treated and spotted on a 384-pad SpectroCHIP (Sequenom) using a ChipSpotter LT Nanodispenser (Samsung, Seoul, South Korea). A MassARRAY Analyzer Compact MALDI-TOF MS (Sequenom) was used for data acquisition from the SpectroCHIP. The resultant genotypes were called using MassARRAY Typer Analyzer v4.0 (Sequenom). The successful genotyping call rate was ~95%.

The HapMap database (National Center for Biotechnology Information Build 35) was used to generate a list of SNPs that cover most of the genetic variation (R2>0.80) within the genomic region between 5 kb 5′ of the beginning of the first known exon and 5 kb 3′ of the end of the last known exon with a minor allele frequency 5%. The Tagger algorithm identified seven tagging SNPs (rs1127678, rs6502051, rs8066956, rs4246444, rs12949488, rs1140616 and rs4485435) to represent the entire set of FASN SNPs. Two of these SNPs (rs6502051 and rs1140616) were found to be out of Hardy–Weinberg equilibrium (P-values <0.001), and were dropped from further analysis.

TMA construction, immunohistochemistry staining and image analysis

Paraffin-embedded tissue was used for tissue microarrays (TMA) construction. A tissue cylinder with a diameter of 0.6 mm was punched from a region of cancer and a distant region of benign tissue in each donor block and placed in a recipient paraffin block. Figure 1 shows (a) a typical tumor core and (b) a typical benign core. This procedure was repeated a total of three times for each patient to provide three replicate sets of malignant and benign tissue for each of the 659 patients.

Figure 1
figure 1

Images of fatty-acid synthase expression in a typical (a) tumor core and (b) benign core.

Sections of each TMA set were stained with a FASN antibody (Lifespan BioSciences, Seattle, WA, USA) per the manufacturer’s protocol. TMA sections were scored semiquantitatively based on the percentage of cells stained (quantity; Q) and the staining intensity (I) to obtain the final score as the product of I × Q as previously described.38 Staining intensity was evaluated as follows: unstained cells were scored as 0, lightly stained cells were scored as 1, moderately stained cells were scored as 2 and intensely stained cells were scored as 3. Each immunohistochemistry core image was viewed by two independent pathologists, with consensus reached for each image. Each patient’s three benign cores were averaged to yield a benign FASN staining intensity average. Likewise, each patient’s three malignant cores were averaged to yield a malignant FASN staining intensity average.

Statistical analysis

Analysis of variance was used to evaluate the associations among genotypic polymorphisms and clinical and pathological characteristics. Student t-tests, as well as analysis of variance, were used to evaluate the association between FASN staining and each clinical and pathological characteristic. If the prevalence of the least common homozygote category was 5% or less, the category was combined with the heterozygote category for analysis. Cox proportional hazards analyses were used to evaluate the associations of each tagging SNP and FASN staining intensity with each end point. Bivariate associations with outcomes were considered for each tagging SNP and FASN stain; the analyses were controlled for recognized risk factors: age at surgery, body mass index (BMI), diagnostic PSA, clinical and pathologic stage, and Gleason score. Relative risk per unit change in minor allele frequency was estimated. Patients who had not reached biochemical failure, treatment failure or distant metastasis during the study period were censored at death, loss to follow-up or at last follow-up. For analyses linking FASN polymorphisms to staining, patients who had neoadjuvant androgen deprivation therapy (NADT) prior to surgery were excluded owing to the possible confounding effects of NADT.

Results

European–American patients who underwent RP at RPCI from 1993–2005 were studied; their characteristics are summarized in Table 1. During a median follow-up of 6.9 years, 27% patients developed biochemical failure (either persistent disease or biochemical recurrence after RP), 33% developed clinical failure (either biochemical failure or treatment after RP) and 5% developed distant metastatic PCa.

Table 1 Characteristics of radical prostatectomy patients, European Americans only

Genotyping success rates ranged from 90.1% for rs4246444 to 96.1% for rs4485435. Malignant cells generally expressed higher levels of FASN protein than their benign counterparts (Table 2). This difference between average benign and malignant FASN staining intensity is statistically significant among all patients, and persists when patients are stratified for NADT. NADT was associated with a statistically significant, decreased average FASN staining intensity in both benign and malignant cells. The decrease in staining intensity associated with NADT was most substantial—greater than 40%—in benign tissue; the difference, though still significant, was smaller in malignant tissue.

Table 2 Comparison of FASN staining, by tissue type and NADT treatment for European Americans

Increased average benign FASN staining intensity tended to be associated with increased risk of biochemical and of treatment failure, though only one hazard ratio was statistically significant (Table 3). Average benign FASN staining intensity was associated with essentially no alteration of the hazard ratio for distant metastatic cancer. Patients with average malignant FASN staining intensity between 2 and 3 had decreased risk of biochemical failure. This same group of patients showed an increased risk of distant metastatic disease, though this hazards ratio was not statistically significant. The association of average benign and malignant FASN staining with biochemical and treatment failure, and with distant metastatic disease, did not differ when stratified for BMI.

Table 3 Cox proportional hazards analyses: association between FASN stain and outcomes for European Americans, excluding patients with NADT

Clinical and pathological risk factors were distributed similarly among the different FASN genotype groups (Table 4). These results indicate that FASN polymorphisms and expression are independent of any well-known risk factors.

Table 4 Clinical/pathologic characteristics by genotype for each SNP for European Americans

Individual FASN SNP and clinical outcomes were associated only weakly with biochemical failure, treatment failure and distant metastatic disease (Table 5). Both the unadjusted and adjusted hazard ratios for biochemical failure were increased among those with the variant A allele of rs4246444, and both were significant. All associations were examined with adjustment for known risk factors, including age at surgery, race, BMI, PSA, clinical and pathological stage and grade, margin status, NADT, date of surgery and lymph node status. The three outcomes did not differ for each SNP when stratified for BMI above vs below the median. Among patients with BMI below the median, there was a significantly higher risk for treatment failure among those with the variant A allele of rs4246444, which persisted when adjusted for known risk factors.

Table 5 Cox proportional hazards analyses: association between FASN SNPs and outcome for European Americans

No associations were found between FASN SNP and average malignant FASN staining intensity (Table 6). However, the minor variant T allele of SNP rs8066956 was associated with increased average benign FASN staining intensity (1.21 vs 1.07, F=4.39, P=0.037). The minor variant A allele of SNP rs1127678 was very nearly significantly associated with increased average benign FASN staining intensity (1.21 vs 1.07, F=3.61, P=0.058). No other SNPs were significantly associated with average benign FASN staining intensity.

Table 6 FASN stain by genotype for each SNP for Caucasian Americans, excluding NADT patients

Discussion

This report, based on a carefully followed and well-annotated cohort of 659 European American RP patients from RPCI, confirmed that FASN protein expression is higher in malignant than in benign tissue. The analysis also showed that FASN protein expression decreased among those treated by NADT. The results linking FASN SNPs and staining intensity with outcome are less clear; there is some association with FASN SNPs and outcome as defined by recurrence and malignancy, but this analysis shows FASN to be weakly associated with outcome. Only one FASN SNP (rs4246444) was associated with biochemical failure, which persisted after adjusting for known aggressiveness indicators. However, no significant relationship was observed between rs4246444 and treatment failure or distant metastatic disease, suggesting that the association between rs4246444 and outcome may not help in identifying patients with the most aggressive forms of the disease. In no SNP or FASN staining analysis was there a dose—response, and adjustment for aggressiveness indicators frequently made substantial differences in hazards ratios and significance. This analysis of a well-documented data set provides no evidence that FASN SNPs and staining intensities are independent predictors of outcome.

The functions of these SNPs are not known, so the mechanisms by which these SNPs might affect the progression of PCa remain to be identified. SNP rs424644 is located in an intron of the FASN gene. A recently revealed link between rs424644 and LDL peak particle diameter suggests that this genetic variant could indirectly affect the prognosis of PCa through modulation of circulatory LDL.39 On the human genomic map, SNP rs1127678 is positioned upstream of the FASN gene, simultaneously falling into the 3'-untranslated region of coiled-coil domain containing 57, which may have a role in lipid metabolism.40 This could enable genetic variation at rs1127678 to directly affect FASN gene expression and function, or to indirectly affect the FASN gene through regulation by coiled-coil domain containing 57. Additional research to decipher how FASN SNPs are involved in PCa aggressiveness is warranted to clarify the function of these FASN SNPs and their interaction with the delicate networks of lipid metabolism.

A recent study found that genetic variation in the FASN gene was not associated with PCa risk.41 The RPCI results revealed that FASN expression is greatly increased in malignant tissue and FASN expression is decreased by NADT, but any associations between the FASN gene and PCa risk remain unclear. These results suggest that these associations are weak at best.

Nguyen et al.34 found that the minor variant T allele of SNP rs4246444 was associated with decreased PCa-specific mortality. Weak and seemingly contradictory associations between this genotype and PCa progression were found in patients who underwent RP at RPCI. Those with the variant T allele were at increased risk of biochemical failure (HR significant), but decreased risk of distant metastatic disease (HR not significant).

Differences between the Nguyen et al.'s results and those herein may be explained in part by variation in treatment modalities in the Physicians’ Health Study sample of Nguyen et al.; over 10 percent of patients in Nguyen et al. had T3 or T4 disease, and few of these would have undergone surgery. Only two percent of the RPCI patients had T3 or T4 disease, and all RPCI patients underwent RP. Nguyen et al.34 found an association between FASN SNPs and BMI; no such association was found among RPCI patients. Whether patients with higher BMI reported with higher grade disease in Nguyen et al. was not reported. Nguyen et al. observed significant interactions between BMI and the associations of genetic polymorphisms with outcome. In the RPCI series, the weak associations of genetic polymorphisms and treatment outcome were equivalent among those with BMI above and below the median value. Similarly, the associations between FASN staining and outcome were similar among those above and below the median of BMI.

As in Nguyen et al.’s report, no associations between FASN SNPs and FASN protein expression in PCa tissue were found in the RPCI study. However, there were associations between two SNPs—rs1127678 (significant) and rs8066956 (nearly significant)—and staining intensity in benign tissue.

Some associations between FASN staining intensity in benign tissue and outcome were observed. Patients with low-to-moderate average benign FASN staining intensity were at increased risk for treatment failure. Patients with moderate-to-average malignant FASN staining intensity were at decreased risk of biochemical failure. However, elevated malignant staining intensity was associated with increased risk of metastatic disease. Because NADT affects FASN staining intensity, patients with pre-surgery NADT were excluded from the staining analysis. These results show that FASN protein expression, in either benign or malignant tissue, is weakly associated with outcome, and suggests contradictory outcomes.

Androgen, an important element in the development of PCa, could regulate the expression of FASN; several different mechanisms may be involved. Heemers et al. found that androgen stimulates FASN transcription by activation of the sterol regulatory element-binding protein pathway.42 Graner et al.43 found that androgen upregulates the isopeptidase USP2a that can stabilize FASN protein and prevent its degradation. Thus, FASN protein expression may reflect androgen deprivation. In our study, FASN staining intensity in benign and malignant epithelial tissue was decreased by 30% and 6%, respectively. However, the results could be complicated by TMA construction; a TMA may possibly under-represent PCa heterogeneity.

Because of the association between certain SNPs and ethnicity, combined with the lack of non-European Americans among the patients studied, and because the study was not powered to detect modification of associations by ethnicity, analyses were limited to only European Americans. Evaluation and validation of these findings in cohorts with diverse ethnicity is needed.

These results suggest that SNPs in genetic determinants of lipid metabolism and its expression in PCa cells are weak, but worth further study. Patients with different FASN SNPs and increased FASN staining intensity in malignant cells might be candidates for chemoprevention agents that specifically target the lipogenic signaling pathways. Hamilton et al.44 recently reported that statin use was associated with reduced risk of biochemical recurrence after RP. Prospective clinical prevention trials with anti-lipogenic therapies to test this hypothesis are warranted. The information gathered from this study may be useful for the design of clinical trials that specifically target tumor metabolic pathways.

In conclusion, this study confirmed that, although FASN protein concentration staining is much greater in malignant than in benign tissue, genetic polymorphisms in the FASN gene and FASN protein expression in PCa cells were only weakly associated with outcome after RP.

References

  1. Cancer Facts & Figures 2014. American Cancer Society: Atlanta, GA, USA, 2014.

  2. Loberg RD, Mehra R, Pienta KJ, Taichman RS . The evolving biology and treatment of prostate cancer. J Clin Invest 2007; 117: 2351+.

    Article  Google Scholar 

  3. Brawley OW, Ankerst DP, Thompson IM . Screening for prostate cancer. CA Cancer J Clin 2009; 59: 264–273.

    Article  Google Scholar 

  4. Thompson IM, Lucia MS . Diagnosing prostate cancer: through a glass, darkly. J Urol 2006; 175: 1598–1599.

    Article  Google Scholar 

  5. Scardino PT . Natural history and treatment of early stage prostate cancer. Trans Am Clin Climatol Assoc 2000; 111: 201–241.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Myers RB, Oelschlager DK, Weiss HL, Frost AR, Grizzle WE . Fatty acid synthase: an early molecular marker of progression of prostatic adenocarcinoma to androgen independence. J Urol 2001; 165: 1027–1032.

    CAS  Article  Google Scholar 

  7. Pizer ES, Pflug BR, Bova GS, Han WF, Udan MS, Nelson JB . Increased fatty acid synthase as a therapeutic target in androgen-independent prostate cancer progression. Prostate 2001; 47: 102–110.

    CAS  Article  Google Scholar 

  8. Rossi S, Graner E, Febbo P, Weinstein L, Bhattacharya N, Onody T et al. Fatty acid synthase expression defines distinct molecular signatures in prostate cancer. Mol Cancer Res 2003; 1: 707–715.

    CAS  PubMed  Google Scholar 

  9. Swinnen JV, Roskams T, Joniau S, Van Poppel H, Oyen R, Baert L et al. Overexpression of fatty acid synthase is an early and common event in the development of prostate cancer. Int J Cancer 2002; 98: 19–22.

    CAS  Article  Google Scholar 

  10. Menendez JA, Lupu R . Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis. Nat Rev Cancer 2007; 7: 763–777.

    CAS  Article  Google Scholar 

  11. Ogino S, Nosho K, Meyerhardt JA, Kirkner GJ, Chan AT, Kawasaki T et al. Cohort study of fatty acid synthase expression and patient survival in colon cancer. J Clin Oncol 2008; 26: 5713–5720.

    CAS  Article  Google Scholar 

  12. Shurbaji MS, Kalbfleisch JH, Thurmond TS . Immunohistochemical detection of a fatty acid synthase (OA-519) as a predictor of progression of prostate cancer. Hum Pathol 1996; 27: 917–921.

    CAS  Article  Google Scholar 

  13. Jiang B, Li EH, Lu YY, Jiang Q, Cui D, Jing YF et al. Inhibition of Fatty-acid Synthase Suppresses P-AKT and Induces Apoptosis in Bladder Cancer. Urology 2012; 80: 484, e489–484, e415.

    Article  Google Scholar 

  14. Alo PL, Amini M, Piro F, Pizzuti L, Sebastiani V, Botti C et al. Immunohistochemical expression and prognostic significance of fatty acid synthase in pancreatic carcinoma. Anticancer Res 2007; 27: 2523–2527.

    CAS  PubMed  Google Scholar 

  15. Sebastiani V, Botti C, Di Tondo U, Visca P, Pizzuti L, Santeusanio G et al. Tissue microarray analysis of FAS, Bcl-2, Bcl-x, ER, PgR, Hsp60, p53 and Her2-neu in breast carcinoma. Anticancer Res 2006; 26: 2983–2987.

    CAS  PubMed  Google Scholar 

  16. Sebastiani V, Visca P, Botti C, Santeusanio G, Galati GM, Piccini V et al. Fatty acid synthase is a marker of increased risk of recurrence in endometrial carcinoma. Gynecol Oncol 2004; 92: 101–105.

    CAS  Article  Google Scholar 

  17. Visca P, Sebastiani V, Botti C, Diodoro MG, Lasagni RP, Romagnoli F et al. Fatty acid synthase (FAS) is a marker of increased risk of recurrence in lung carcinoma. Anticancer Res 2004; 24: 4169–4173.

    CAS  PubMed  Google Scholar 

  18. Kuhajda FP, Jenner K, Wood FD, Hennigar RA, Jacobs LB, Dick JD et al. Fatty acid synthesis: a potential selective target for antineoplastic therapy. Proc Natl Acad Sci USA 1994; 91: 6379–6383.

    CAS  Article  Google Scholar 

  19. Swinnen JV, Van Veldhoven PP, Timmermans L, De Schrijver E, Brusselmans K, Vanderhoydonc F et al. Fatty acid synthase drives the synthesis of phospholipids partitioning into detergent-resistant membrane microdomains. Biochem Biophys Res Commun 2003; 302: 898–903.

    CAS  Article  Google Scholar 

  20. Fiorentino M, Zadra G, Palescandolo E, Fedele G, Bailey D, Fiore C et al. Overexpression of fatty acid synthase is associated with palmitoylation of Wnt1 and cytoplasmic stabilization of beta-catenin in prostate cancer. Lab Invest 2008; 88: 1340–1348.

    CAS  Article  Google Scholar 

  21. Flavin R, Zadra G, Loda M . Metabolic alterations and targeted therapies in prostate cancer. J Pathol 2011; 223: 283–294.

    CAS  Article  Google Scholar 

  22. Komekado H, Yamamoto H, Chiba T, Kikuchi A . Glycosylation and palmitoylation of Wnt-3a are coupled to produce an active form of Wnt-3a. Genes Cells 2007; 12: 521–534.

    CAS  Article  Google Scholar 

  23. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M et al. Environmental and heritable factors in the causation of cancer — analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 2000; 343: 78–85.

    CAS  Article  Google Scholar 

  24. Hjelmborg JB, Scheike T, Holst K, Skytthe A, Penney KL, Graff RE et al. The heritability of prostate cancer in the Nordic Twin study of cancer. Cancer Epidemiol Biomarkers Prev 2014; 23: 2303–2310.

    Article  Google Scholar 

  25. Duggan D, Zheng SL, Knowlton M, Benitez D, Dimitrov L, Wiklund F et al. Two genome-wide association studies of aggressive prostate cancer implicate putative prostate tumor suppressor gene DAB2IP. J Natl Cancer Inst 2007; 99: 1836–1844.

    CAS  Article  Google Scholar 

  26. FitzGerald LM, Kwon EM, Conomos MP, Kolb S, Holt SK, Levine D et al. Genome-wide association study identifies a genetic variant associated with risk for more aggressive prostate cancer. Cancer Epidemiol Biomarkers Prev 2011; 20: 1196–1203.

    CAS  Article  Google Scholar 

  27. Amin Al Olama A, Kote-Jarai Z, Schumacher FR, Wiklund F, Berndt SI, Benlloch S et al. A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease. Hum Mol Genet 2013; 22: 408–415.

    CAS  Article  Google Scholar 

  28. Lin DW, FitzGerald LM, Fu R, Kwon EM, Zheng SL, Kolb S et al. Genetic variants in the LEPR, CRY1, RNASEL, IL4, and ARVCF genes are prognostic markers of prostate cancer-specific mortality. Cancer Epidemiol Biomarkers Prev 2011; 20: 1928–1936.

    CAS  Article  Google Scholar 

  29. Eeles RA, Olama AAA, Benlloch S, Saunders EJ, Leongamornlert DA, Tymrakiewicz M et al. Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array. Nat Genet 2013; 45: 385–391.

    CAS  Article  Google Scholar 

  30. Demichelis F, Stanford JL . Genetic predisposition to prostate cancer: update and future perspectives. Urol Oncol 2013; 33: 75–84.

    Article  Google Scholar 

  31. Barreiro LB, Laval G, Quach H, Patin E, Quintana-Murci L . Natural selection has driven population differentiation in modern humans. Nat Genet 2008; 40: 340–345.

    CAS  Article  Google Scholar 

  32. Audet-Walsh E, Bellemare J, Nadeau G, Lacombe L, Fradet Y, Fradet V et al. SRD5A polymorphisms and biochemical failure after radical prostatectomy. Eur Urol 2011; 60: 1226–1234.

    CAS  Article  Google Scholar 

  33. Morote J, Del Amo J, Borque A, Ars E, Hernandez C, Herranz F et al. Improved prediction of biochemical recurrence after radical prostatectomy by genetic polymorphisms. J Urol 2010; 184: 506–511.

    CAS  Article  Google Scholar 

  34. Nguyen PL, Ma J, Chavarro JE, Freedman ML, Lis R, Fedele G et al. Fatty acid synthase polymorphisms, tumor expression, body mass index, prostate cancer risk, and survival. J Clin Oncol 2010; 28: 3958–3964.

    CAS  Article  Google Scholar 

  35. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) Prostate Cancer. National Cancer Center Network, 2014. http://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf.

  36. Ding C, Cantor CR . Direct molecular haplotyping of long-range genomic DNA with M1-PCR. Proc Natl Acad Sci USA 2003; 100: 7449–7453.

    CAS  Article  Google Scholar 

  37. Tang K, Fu DJ, Julien D, Braun A, Cantor CR, Koster H . Chip-based genotyping by mass spectrometry. Proc Natl Acad Sci USA 1999; 96: 10016–10020.

    CAS  Article  Google Scholar 

  38. Xu B, Thong N, Tan D, Khoury T . Expression of thyroid transcription factor-1 in colorectal carcinoma. Appl Immunohistochem Mol Morphol 2010; 18: 244–249.

    CAS  Article  Google Scholar 

  39. Dolley G, Boisclair ME, Lamarche B, Despres JP, Bouchard C, Perusse L et al. Interactions between dietary fat intake and FASN genetic variation influence LDL peak particle diameter. J Nutrigenet Nutrigenomics 2011; 4: 137–145.

    CAS  Article  Google Scholar 

  40. Gerdin AK . The Sanger Mouse Genetics Programme: high throughput characterisation of knockout mice. Acta Ophthalmologica 2010; 88: (Issue Supplement S246, page 0).

  41. Campa D, Husing A, Chang-Claude J, Dostal L, Boeing H, Kroger J et al. Genetic variability of the fatty acid synthase pathway is not associated with prostate cancer risk in the European Prospective Investigation on Cancer (EPIC). Eur J Cancer 2011; 47: 420–427.

    CAS  Article  Google Scholar 

  42. Heemers H, Maes B, Foufelle F, Heyns W, Verhoeven G, Swinnen JV . Androgens stimulate lipogenic gene expression in prostate cancer cells by activation of the sterol regulatory element-binding protein cleavage activating protein/sterol regulatory element-binding protein pathway. Mol Endocrinol 2001; 15: 1817–1828.

    CAS  Article  Google Scholar 

  43. Graner E, Tang D, Rossi S, Baron A, Migita T, Weinstein LJ et al. The isopeptidase US P2a regulates the stability of fatty acid synthase in prostate cancer. Cancer Cell 2004; 5: 253–261.

    CAS  Article  Google Scholar 

  44. Hamilton RJ, Banez LL, Aronson WJ, Terris MK, Platz EA, Kane CJ et al. Statin medication use and the risk of biochemical recurrence after radical prostatectomy: results from the Shared Equal Access Regional Cancer Hospital (SEARCH) Database. Cancer 2010; 116: 3389–3398.

    CAS  Article  Google Scholar 

Download references

Acknowledgements

We thank Drs Lara E Sucheston for suggestions on SNP design and data analysis and Dr. Jeffrey M Conroy for helping with genotyping. Financial support from NIH P01 grant (CA 126804). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Author information

Affiliations

Authors

Corresponding author

Correspondence to R P Ondracek.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cheng, J., Ondracek, R., Mehedint, D. et al. Association of fatty-acid synthase polymorphisms and expression with outcomes after radical prostatectomy. Prostate Cancer Prostatic Dis 18, 182–189 (2015). https://doi.org/10.1038/pcan.2015.11

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/pcan.2015.11

Search

Quick links