Cerhan, James R.

209 Background: Predictive markers of response to AA are not known. In a prior study, we found that 8 single nucleotide polymorphisms (SNPs) from 4 candidate hormone-related genes (JAK2, TRMT11, NKX3-1 and HSD17B12) were associated with response to AA in HSPC in a North American cohort of 519 subjects. We attempt to replicate these findings in a cohort of Portuguese patients. Methods: The Portuguese cohort consisted of 308 HSPC patients, and the primary endpoint was time to AA failure, defined as time from initiating continuous AA to two serial PSA increases over the nadir, initiation of chemotherapy for progressive disease, or clinical or imaging based progression, whichever came first. For each SNP, we calculated hazard ratios (HRs) and 95% confidence intervals (CI) for time to AA failure using a recessive model with adjustment for Gleason score (GS). Results: The median age of the Portuguese cohort was 69 years (range 43, 85). The GS distribution was 35% subjects with GS≥8; 35% with GS=7 and 30% with GS<7. Median time to AA failure for the cohort was 1.8 years (IQ range: 0.3, 3.6). Association of each SNP with time to AA failure is shown in the Table. None of the SNPs replicated. However, there was a suggestive inverse association for rs10503733 (NKX3.1) with time to AA failure (P=0.07). Conclusions: While we were not able to replicate our initial findings, there was an unexpected association with rs10503733 (NKX3.1 gene) that may warrant additional clinical validation. [Table: see text]

12 Background: Cholesterol is needed in prostate cancer cells for cell proliferation and for androgen biosynthesis. Cholesterol-lowering statin drug use is associated with a lower risk of total and advanced prostate cancer and lower prostate cancer-specific mortality (PCSM). We hypothesized that tumor expression of cholesterol synthesis enzymes, transporters and regulators is associated with PCSM. Methods: We studied mRNA expression of 43 cholesterol metabolism genes in surgical specimens from 249 participants in the Health Professionals' Follow-up Study diagnosed with prostate cancer between 1986 and 2004. We included 81 cases of lethal prostate cancer and 168 indolent cases who survived >8 years without metastases. After multivariate dimensionality reduction for the synthesis, transport and regulator pathways using principal components analysis, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression. We adjusted for age, year of diagnosis, body mass index, smoking status, family history, multivitamin use, high serum cholesterol and cholesterol-lowering drug use. Results: Reflecting the impact of the synthesis pathway and of the regulator pathway, respectively, the expression of squalene epoxidase (SQLE) and low-density lipoprotein receptor (LDLR) were significantly associated with lethal cancer in opposing directions. Compared to men with the mean level of SQLE expression, men with SQLE expression >1 standard deviation (SD) above the mean were 15.4 times more likely to have lethal cancer (95% CI: 3.31–71.53). For LDLR, expression >1 SD above the mean was associated with 96% lower odds of lethal cancer (95% CI: 0.01–0.70). Higher SQLE expression and lower LDLR expression were associated with higher Gleason grades (Fisher's test, p < 0.001 and p = 0.036, respectively) and were also predictive of PCSM independently from grade and tumor stage. Conclusions: These results suggest that the local cholesterol metabolism of the prostate tumor is tightly linked with mortality. Lethal cancers have higher activity of the second rate-controlling enzyme of cholesterol synthesis and are less dependent on cholesterol uptake.

77 Background: Prostate cancer cells rely on cholesterol for proliferation and androgen production. We recently demonstrated that increased expression of the second key enzyme of cholesterol synthesis, squalene monooxygenase (SQLE), is associated with higher prostate cancer-specific mortality (PCSM). We here validate findings in two additional prospective studies and investigate putative mechanisms. Methods: We analyzed the prospective prostatectomy cohorts within the Health Professionals Follow-up Study (HPFS) and the Physicians’ Health Study (PHS) as well as initially expectantly managed patients in the Swedish Watchful Waiting Study (SWWS). 258 lethal cancer cases and 469 patients who survived > 8 years without metastases were included. SQLE mRNA was measured in tumor specimens at diagnosis of all patients and in benign prostate tissue of 197 patients. Markers of tumor angiogenesis were assessed via immunohistochemistry in 169 HPFS patients. We estimated multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression. Results: Higher SQLE expression was confirmed to be predictive of higher PCSM in the validation prostatectomy cohort PHS. Combining the two prostatectomy cohorts, men with high SQLE expression ( > 1 standard deviation above the mean) were 6.7 times (95% CI, 2.9 to 15.8; p < 0.001) more likely to die from their cancer compared to men with the mean level of SQLE expression. A 10% higher ratio of SQLE mRNA expression in tumor vs. benign prostate tissue of the same patient was predictive of 42% higher PCSM (95% CI, 15% to 74%). Higher SQLE expression was strongly associated with increased angiogenesis markers (all p ≤ 0.001). This increased risk associated with high SQLE expression was not modified by statin use (p ≥ 0.52). In initially untreated patients in SWWS, a more modest association of tumor SQLE expression with PCSM was observed (p = 0.047). Conclusions: SQLE, the second rate-limiting enzyme of cholesterol synthesis, is associated with prostate cancer progression. Its expression at cancer diagnosis is predictive of lethal disease both after curative-intent prostatectomy and in a watchful waiting setting, possibly by facilitating micrometastatic disease.

313 Background: We evaluated variation in candidate genes implicated in either initiation or progression of prostate cancer with survival in CRPC stage. Methods: Germline DNA was extracted from peripheral blood mononuclear cells of CRPC patients enrolled in a clinically annotated registry. Fourteen candidate genes were tagged using single nucleotide polymorphisms (SNPs) from HapMap with minor allele frequency of > 5%. The primary endpoint was overall survival (OS), defined as time from development of CRPC to death. Principal component analysis was used for gene levels tests of significance. For SNP level results the per allele hazard ratios (HR) and 95% confidence intervals (CI) under the additive allele model using Cox regression adjusted for age at CRCP and Gleason score (GS) were used. Results: Two hundred and forty five CRPC patients who met the criteria of having adequate DNA were genotyped (14 genes, 84 SNPs). The median age of the cohort was 69 years (range 43-93). The GS distribution was 55% with GS≥8, 32% with GS = 7 and 13% with GS < 7 or unknown. Median time from castration resistance to death for the cohort was 2.67 years (IQ range: 1.6-4.07, 144 deaths). At the gene level JAK2 was detected to be associated with OS. Six of 18 JAK2 SNPs were associated with OS after adjustment for age and GS as well as pruning of SNPs in high linkage disequilibrium with each other (see table). In our multivariate model including age, GS, rs2149556, and rs4372063, the adjusted HRs for rs2149556 and rs4372063 were 0.67 (95% CI 0.38-1.18) and 2.17 (95% CI 1.25-3.76), respectively. The protective effect of rs2149556 appears after adjusting for the presence of minor alleles for rs4372063 in this dataset. Conclusions: Germline variation in the JAK2gene is associated with survival in CRPC stage and warrants further validation as a potential prognostic biomarker. [Table: see text]

236 Background: Patients (pts) with aggressive lymphoma are generally treated with curative intent and many become long-term survivors. There is little data on health behaviors after lymphoma diagnosis and their effect on QOL and long-term outcomes. Methods: Lymphoma pts were prospectively enrolled within 9 months of diagnosis in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) and systematically followed. We measured QOL (FACT-G) and health behaviors (tobacco/alcohol use; diet/exercise habits) 3 years after diagnosis. For this study, “survivor” was defined as alive at 3 years from diagnosis with no active disease or treatment within the previous year. Results: From 2002-2012, 671 patients with aggressive lymphoma were enrolled, met survivor definition, and completed 3-year QOL and health behavior questionnaires. At 3-years, 31% of female (F) and 48% of male (M) reported a history of tobacco use for 6+ months. Of these, 13% of F and 7% of M were still smoking; 52% reported decreased use from baseline. 66% reported no change in alcohol intake at 3-years while 25% of F and 34% of M reported decreased intake. 60% often chose whole grains and 65% get 2+ servings of vegetables daily. 42% of F and 38% of M “somewhat” believed diet could change the course of their lymphoma. Most pts endorsed no significant change in diet as a result of diagnosis. Those who made changes did so primarily out of concern for “health problems other than cancer”. Overweight/obese responders were 72% pre- and 66% post-treatment. A desire to lose weight was reported by 55% of pts. 14% of F and 23% of M often engaged in regular physical activity (PA). Nearly 50% reported a decrease in PA. Pts with advanced stage (p = 0.006), age > 60 (p = 0.001), ECOG PS > 2 (p = 0.04), and worse prognostic score (p = 0.006) were more likely to report decreased PA since diagnosis. 68% of F and 61% of M intend to become more active in the next months. Regular PA (p = < 0.0001) was associated with higher QOL, while increased alcohol intake was associated with lower QOL (p = 0.009) at 3 years. Conclusions: Many survivors of aggressive NHL strive to adopt healthy behaviors and these behaviors are associated with higher QOL. Interventions aimed at emphasizing these behaviors may have potential to improve long-term outcomes and QOL.

44 Background: We investigated the association of germline genetic variation in hormone biosynthesis and metabolism genes with prostate cancer specific mortality in a cohort of advanced prostate cancer patients. Methods: We successfully genotyped 852 single nucleotide polymorphisms (SNPs) from 97 genes in a cohort of 267 advanced prostate cancer patients at the time of progression to castration recurrence (CRPC) during on-going androgen ablation. Tagging SNPs with minor allele frequency (MAF) of >5% and r2 ≥0.8 were selected from HapMap, NIEHS and Seattle SNP databases. Medical records were queried for cause of death. The primary endpoint of time to prostate cancer specific mortality (PCSM), was pre-defined as time from development of CRPC to death from prostate cancer progression. Principle components analysis was used for gene-levels tests, and to account for multiple testing, we calculated the false discovery rate (FDR). For SNP level results, hazard ratios (HR) and 95% confidence intervals (CI) were estimated using cox regression. Results: The median age of the cohort was 72 years at CRPC. 43% had a Gleason score (GS)=8-10, 33% a GS=7, and 24% a GS<7. After a median follow-up of 1.8 years (IQ range: 0.8–3.3 years), 139 patients died, of which 107 were due to prostate cancer progression. In unadjusted gene level analyses, UGT1A7 (p=0.0059; FDR=0.19), UGT1A10 (p=0.0017; FDR=0.17) and UGT1A3 (p=0.0037; FDR=0.18) were associated with PCSM. After adjusting for age and GS, SNPs strongly associated with PCSM are listed in the Table . Conclusions: Variation in UGT genes involved in hormone metabolism yield prognostic information in CRPC. Further validation is needed to develop these as prognostic biomarkers. [Table: see text] No significant financial relationships to disclose.

14 Background: We evaluated the association of germline variation in genes regulating hormonal pathways with duration of treatment response in prostate cancer patients receiving ADT, focusing on genes in the androgen biosynthesis (the C4 Δ; C5 Δ; C21 CYP pathways and the alternate “backdoor pathway”) and metabolism pathways. Methods: We successfully genotyped 747 single nucleotide polymorphisms (SNPs) from 84 genes in a cohort of 304 patients with advanced prostate cancer who progressed on ADT. Tagging SNPs with a minor allele frequency (MAF) of >5% and r2 ≥0.8 were selected from HapMap, NIEHS and Seattle SNP databases. The primary endpoint was time to ADT failure, and we conducted a gene-level test (principal components), along with individual SNP level tests adjusted for patient age and Gleason score. To account for multiple testing, we calculated the false discovery rate (FDR), and FDRs of 0.10 were considered noteworthy. Results: The median age of the cohort at ADT failure was 72 years (range 65-78 years), and the overall median time to ADT failure was 3.21 years (IQ [25-75]: 1.54-6.20 years). At the gene level, TRMT11 (tRNA methyltransferase 11 homologue) showed the strongest association with time to ADT failure (p<0.0008; adjusted p-value for FDR-0.068). Two of four TRMT11 tag SNPs were associated with time to ADT failure. The first was the intronic SNP rs1268121 (A>G) with a MAF of 15%, for which there was a positive association of median time to ADT failure with the number of variant alleles (p=0.023): 3.1 years for 0, 4.1 years for 1, and 5.9 years for 2 variant alleles. The second was the SNP rs6900796 (A>G) in the 3' untranscribed region with a MAF of 49%, for which the median time to ADT failure was 2.6 years for 0, 2.5 years for 1, and 3.8 years for 2 variant alleles (p=0.023). Four additional genes showed an association with ADT response at the p<0.10 level, including LOC390956, PRMT3, SLC7A6OS, and WBSCR22, although all FDRs were >0.95. Conclusions: Variation in TRMT11 was associated with time to ADT failure. Confirmation of these findings in an independent cohort is needed. No significant financial relationships to disclose.

Abstract Background: Host immune response may predict the course of colorectal cancer. We examined the survival of 468 colorectal cancer patients associated with two tumor-infiltrating immune biomarkers, the number of cytotoxic T lymphocytes (CTLs), and the activated CTLs, as reflected by the number of cells expressing granzyme B (GZMB) in the prospective Iowa Women's Health Study. Methods: Using paraffin-embedded tissue samples, we constructed and immunostained tumor microarrays with CD8 (for CTL) and GZMB antibodies. We scored CTL and GZMB densities in tumor epithelial and stromal tissues and also created a composite score for each biomarker (sum of the scores across tissue compartments). Cox regression estimated the HR and 95% confidence intervals (CI) for all-cause and colorectal cancer–specific death associated with each composite score. Results: CTL and GZMB composite scores were positively correlated (r = 0.65) and each biomarker was inversely correlated with stage at diagnosis. Both composite scores were higher in proximal colon tumors and tumors characterized by MSI-high, CIMP-high, or BRAF mutation status. HRs (95% CI) were 0.53 (0.38–0.75; Ptrend = 0.0004) and 0.66 (0.51–0.86; Ptrend = 0.002) for all-cause death, respectively, and 0.30 (0.18–0.51; Ptrend &lt; 0.0001) and 0.41 (0.27–0.63; Ptrend &lt; 0.0001) for colorectal cancer–related death, respectively. Including CTL and GZMB scores simultaneously in the model significantly improved the predictive performance of the models for all-cause and colorectal cancer–related death. Conclusions: Higher tumor infiltration with CTL and GZMB cells is associated with improved all-cause and cancer-specific survival of colorectal cancer patients. Impact: Both the number of CTLs and GZMB appear to be useful prognostic factors in colorectal cancer, irrespective of stage. Cancer Epidemiol Biomarkers Prev; 26(4); 622–31. ©2016 AACR.

ABSTRACT Collectively, lymphoid neoplasms are the fourth most common cancer and the sixth leading cause of cancer death in the United States. The authors provide contemporary lymphoid neoplasm statistics by subtype based on the 2008 World Health Organization classifications, including the most current US incidence and survival data. Presented for the first time are estimates of the total numbers of US lymphoid neoplasm cases by subtype as well as a detailed evaluation of incidence and survival statistics. In 2016, 136,960 new lymphoid neoplasms are expected. Overall lymphoma incidence rates have declined in recent years, but trends vary by subtype. Precursor lymphoid neoplasm incidence rates increased from 2001 to 2012, particularly for B‐cell neoplasms. Among the mature lymphoid neoplasms, the fastest increase was for plasma cell neoplasms. Rates also increased for mantle cell lymphoma (males), marginal zone lymphoma, hairy cell leukemia, and mycosis fungoides. Like incidence, survival for both mature T‐cell lymphomas and mature B‐cell lymphomas varied by subtype and by race. Patients with peripheral T‐cell lymphomas had among the worst 5‐year relative survival (36%‐56%, depending on race/sex), while those with mycosis fungoides had among the best survival (79%‐92%). For B‐cell lymphomas, 5‐year survival ranged from 83% to 91% for patients with marginal zone lymphoma and from 78% to 92% for those with hairy cell leukemia; but the rates were as low as 47% to 63% for patients with Burkitt lymphoma and 44% to 48% for those with plasma cell neoplasms. In general, black men had the lowest survival across lymphoid malignancy subtypes. These contemporary incidence and survival statistics are useful for developing management strategies for these cancers and can offer clues regarding their etiology. CA Cancer J Clin 2016;66:443–459. © 2016 American Cancer Society .