Alcohol drinking and pancreatic cancer risk: a meta‐analysis of the dose‐risk relation

In order to provide a more precise quantification of the association between alcohol consumption and pancreatic cancer risk, we performed a meta‐analysis of relevant dose‐risk results. We conducted a PubMed search of all case‐control (N=21) and cohort (N=11) studies published up to March 2009. We computed summary relative risk (RR) estimates using either fixed‐ or, in the presence of heterogeneity, random‐effects models. The pooled RR was 0.92 (95% confidence interval, 95% CI, 0.86–0.97) for <3 drinks/day and 1.22 (95% CI, 1.12–1.34) for ≥3 drinks/day. The increased risk for heavy drinking was similar in women and men, but apparently stronger in cohort studies (RR=1.29), in studies with high quality index (RR=1.30), and did not appear to be explained by residual confounding by either history of pancreatitis or tobacco smoking. This meta‐analysis provides strong evidence for the absence of a role of moderate drinking in pancreatic carcinogenesis, coupled to an increased risk for heavy alcohol drinking. Given the moderate increase in risk and the low prevalence of heavy drinkers in most populations, alcohol appears to be responsible only for a small fraction of all pancreatic cancers.     

Metabolome analysis for pancreatic cancer risk in nested case‐control study: Japan Public Health Center‐based prospective Study

Discovery of a high‐risk group for pancreatic cancer is important for prevention of pancreatic cancer. The present study was conducted as a nested case‐control study including 170 pancreatic cancer cases and 340 matched controls of our population‐based cohort study involving 30 239 subjects who answered a baseline questionnaire and supplied blood samples. Twelve targeted metabolites were quantitatively analyzed by gas chromatography/tandem mass spectrometry. Odds ratios (OR) and their corresponding 95% confidence intervals (CI) were calculated using conditional logistic regression models. Statistically significant P‐value was defined as P < .05. Increasing 1,5‐anhydro‐d ‐glucitol (1,5‐AG) levels were associated with a decreasing trend in pancreatic cancer risk (OR of quartile 4 [Q4], 0.50; 95% CI, 0.27‐0.93; P = .02). Increasing methionine levels were also associated with an increasing trend of pancreatic cancer risk (OR of Q4, 1.79; 95% CI, 0.94‐3.40: P = .03). Additional adjustment for potential confounders attenuated the observed associations of 1,5‐AG and methionine (P for trend = .06 and .07, respectively). Comparing subjects diagnosed in the first 0‐6 years, higher levels of 1,5‐AG, asparagine, tyrosine and uric acid showed a decreasing trend for pancreatic cancer risk (P for trend = .04, .04, .04 and .02, respectively), even after adjustment for potential confounders. We found that the 12 target metabolites were not associated with pancreatic cancer risk. However, metabolic changes in the subjects diagnosed in the first 0‐6 years showed a similar tendency to our previous reports. These results might suggest that these metabolites are useful for early detection but not for prediction of pancreatic cancer.     

The development of a cancer genetic‐specific measure of coping: the GRACE

Objective: Generic measures of coping fail to capture the process of undergoing specific health processes such as cancer genetic risk assessment. The Genetic Risk Assessment Coping Evaluation (GRACE) has been developed to provide greater specificity of measurement. Method: Based upon previous research findings, the GRACE measures the degree of stress associated with 11 recognised sources of stress for individuals undergoing the early stages of cancer genetic risk assessment, and the use of up to eight coping strategies they may elicit. This paper reports preliminary data from the piloting of the GRACE within a randomised trial of a coping intervention. Results: Of the 265 participants who completed and returned their baseline questionnaire (prior to being informed of their level of genetic risk), 257 completed the GRACE. The most highly endorsed sources of stress involved concerns relating to family members, endorsed by over 60% of respondents, and concerns about how the participants would cope if found to be at increased risk (59%). Participants made use of multiple coping strategies across different sources of stress. The most frequently reported coping strategies were emotion‐focused, which may reflect the stage of the assessment process. Conclusion: The completion rates for the matrix and specificity of responses provided suggest that the GRACE may be an acceptable measurement tool. Further data collection and validation is ongoing. Copyright © 2009 John Wiley & Sons, Ltd.     

External validation of genetically predicted protein biomarkers for pancreatic cancer risk using aptamer-based plasma levels: A prospective analysis in the Atherosclerosis Risk in Communities Study

Genetically predicted proteins have been associated with pancreatic cancer risk previously. We aimed to externally validate the associations of 53 candidate proteins with pancreatic cancer risk using directly measured, prediagnostic levels. We conducted a prospective cohort study of 10 355 US Black and White men and women in the Atherosclerosis Risk in Communities (ARIC) study. Aptamer-based plasma proteomic profiling was previously performed using blood collected in 1993 to 1995, from which the proteins were selected. By 2015 (median: 20 years), 93 incident pancreatic cancer cases were ascertained. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for protein tertiles, and adjust for age, race, and known risk factors. Of the 53 proteins, three were statistically significantly, positively associated with risk—GLCE (tertile 3 vs 1: HR = 1.88, 95% CI: 1.12-3.13; P-trend = 0.01), GOLM1 (aptamer 1: HR = 1.98, 95% CI: 1.16-3.37; P-trend = 0.01; aptamer 2: HR = 1.86, 95% CI: 1.07-3.24; P-trend = 0.05), and QSOX2 (HR = 1.96, 95% CI: 1.09-3.58; P-trend = 0.05); two were inversely associated—F177A (HR = 0.59, 95% CI: 0.35-1.00; P-trend = 0.05) and LIFsR (HR = 0.55, 95% CI: 0.32-0.93; P-trend = 0.03); and one showed a statistically significant lower risk in the middle tertile—endoglin (HR = 0.50, 95% CI: 0.29-0.86); by chance, we expected significant associations for 2.65 proteins. FAM3D, IP10, sTie-1 (positive); SEM6A and JAG1 (inverse) were suggestively associated with risk. Of these 11, 10 proteins—endoglin, FAM3D, F177A, GLCE, GOLM1, JAG1, LIFsR, QSOX2, SEM6A and sTie-1—were consistent in direction of association with the discovery studies. This prospective study validated or supports 10 proteins as associated with pancreatic cancer risk.     

Cancer‐specific mortality of high‐risk prostate cancer after carbon‐ion radiotherapy plus long‐term androgen deprivation therapy

The treatment outcomes of patients with high‐risk localized prostate cancer (PC) after carbon‐ion radiotherapy (CIRT) combined with long‐term androgen deprivation therapy (LTADT) were analyzed, and compared with those of other treatment modalities, focusing on PC‐specific mortality (PCSM). A total of 1247 patients were enrolled in three phase II clinical trials of fixed‐dose CIRT between 2000 and 2013. Excluding patients with T4 disease, 608 patients with high‐risk or very‐high‐risk PC, according to the National Comprehensive Cancer Network classification system, who received CIRT with LTADT were evaluated. The median follow‐up time was 88.4 months, and the 5‐/10‐year PCSM rates were 1.5%/4.3%, respectively. T3b disease, Gleason score of 9–10 and percentage of positive biopsy cores >75% were associated with significantly higher PCSM on univariate and multivariate analyses. The 10‐year PCSM rates of patients having all three (n = 16), two (n = 74) or one of these risk factors (n = 217) were 27.1, 11.6 and 5.7%, respectively. Of the 301 patients with none of these factors, only 1 PCSM occurred over the 10‐year follow‐up (10‐year PCSM rate, 0.3%), and significant differences were observed among the four stratified groups (P <0.001). CIRT combined with LTADT yielded relatively favorable treatment outcomes in patients with high‐risk PC and very favorable results in patients without any of the three abovementioned factors for PCSM. Because a significant difference in PCSM among the high‐risk PC patient groups was observed, new categorization and treatment intensity adjustment may be required for high‐risk PC patients treated with CIRT.