Preliminary evidence on the uptake, use and benefits of the CONSORT-PRO extension.

PURPOSE: This study assessed the uptake of the CONsolidated Standards of Reporting Trials (CONSORT)-Patient-Reported Outcomes (PRO) statement; determined if use of CONSORT-PRO was associated with more complete reporting of PRO endpoints in randomised controlled trials (RCTs) and identified the extent to which high-impact journals publishing RCTs with PRO endpoints endorse CONSORT-PRO. METHODS: CONSORT-PRO citations were identified by systematically searching Medline, EMBASE and Google from 2013 (year CONSORT-PRO released) to 17 December 2015. RCTs that cited CONSORT-PRO (cases) were compared to a comparable control sample of RCTs in terms of adherence to CONSORT-PRO using t tests. General linear models assessed the relationship between CONSORT-PRO score and key, pre-specified variables. The 100 highest-impact journals that published RCTs with PRO endpoints (2014-2015) were identified via a systematic Medline search. Instructions for authors were reviewed to determine whether journals endorsed CONSORT-PRO. RESULTS: Total CONSORT-PRO scores ranged from 47 to 100% for cases and 25-96% for controls. Cases had significantly higher total CONSORT-PRO scores compared to controls: t = 2.64, p = 0.01. 'Citing CONSORT-PRO', 'journal endorsing CONSORT-PRO' and 'dedicated PRO paper' were significant predictors of higher CONSORT-PRO adherence score: R (2) = 0.48, p < 0.001. 11/100 top-ranked journals endorsed CONSORT-PRO in their instructions to authors, seven of these journals published RCTs included as cases in this study. CONCLUSION: This study demonstrated improved PRO reporting associated with journal endorsement and author use of the CONSORT-PRO extension. Despite growing awareness, more work is needed to promote appropriate use of CONSORT-PRO to improve completeness of reporting; in particular, stronger journal endorsement of CONSORT-PRO

Genome-wide germline correlates of the epigenetic landscape of prostate cancer.

Oncogenesis is driven by germline, environmental and stochastic factors. It is unknown how these interact to produce the molecular phenotypes of tumors. We therefore quantified the influence of germline polymorphisms on the somatic epigenome of 589 localized prostate tumors. Predisposition risk loci influence a tumor's epigenome, uncovering a mechanism for cancer susceptibility. We identified and validated 1,178 loci associated with altered methylation in tumoral but not nonmalignant tissue. These tumor methylation quantitative trait loci influence chromatin structure, as well as RNA and protein abundance. One prominent tumor methylation quantitative trait locus is associated with AKT1 expression and is predictive of relapse after definitive local therapy in both discovery and validation cohorts. These data reveal intricate crosstalk between the germ line and the epigenome of primary tumors, which may help identify germline biomarkers of aggressive disease to aid patient triage and optimize the use of more invasive or expensive diagnostic assays

Genome-wide germline correlates of the epigenetic landscape of prostate cancer

Oncogenesis is driven by germline, environmental and stochastic factors. It is unknown how these interact to produce the molecular phenotypes of tumors. We therefore quantified the influence of germline polymorphisms on the somatic epigenome of 589 localized prostate tumors. Predisposition risk loci influence a tumor's epigenome, uncovering a mechanism for cancer susceptibility. We identified and validated 1,178 loci associated with altered methylation in tumoral but not nonmalignant tissue. These tumor methylation quantitative trait loci influence chromatin structure, as well as RNA and protein abundance. One prominent tumor methylation quantitative trait locus is associated with AKT1 expression and is predictive of relapse after definitive local therapy in both discovery and validation cohorts. These data reveal intricate crosstalk between the germ line and the epigenome of primary tumors, which may help identify germline biomarkers of aggressive disease to aid patient triage and optimize the use of more invasive or expensive diagnostic assays