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The human gastrointestinal microbiome contains commensal bacteria and other microbiota that have been gaining increasing attention in the context of cancer development and response to treatment. Microbiota play a role in the maintenance of host barrier surfaces that contribute to both local inflammation and other systemic metabolic functions. In the context of prostate cancer, the gastrointestinal microbiome may play a role through metabolism of estrogen, an increase of which has been linked to the induction of prostatic neoplasia. Specific microbiota such as Bacteroides, Streptococcus, Bacteroides massiliensis, Faecalibacterium prausnitzii, Eubacterium rectalie, and Mycoplasma genitalium have been associated with differing risks of prostate cancer development or extensiveness of prostate cancer disease. In this Review, we discuss gastrointestinal microbiota's effects on prostate cancer development, the ability of the microbiome to regulate chemotherapy for prostate cancer treatment, and the importance of using Next Generation Sequencing to further discern the microbiome's systemic influence on prostate cancer.

Background: A significant proportion of cancer survivors endorse ongoing health information needs and may use the internet to access information. We assessed patterns and predictors of general and health-specific internet use among cancer survivors. Methods: Using data from the National Health Interview Survey (NHIS), which was administered in 2013 through 2018, for adults reporting a cancer diagnosis, sample weight-adjusted estimates defined prevalence and multivariable logistic regressions defined adjusted odds ratios (aORs) of general and health-specific internet use, adjusting for relevant sociodemographic covariates, including healthcare satisfaction as the primary independent variable. The analysis for health-specific internet use was also repeated including a sex (female vs male)*healthcare satisfaction (very satisfied/somewhat satisfied vs somewhat dissatisfied/very dissatisfied) interaction term. Results: Among 12,970 survivors of cancer, general and health-specific internet use increased from 2013 to 2018 (from 63.2% to 70.8% and from 46.8% to 52.2%, respectively; P<.05 for both). Survivors who were very dissatisfied with healthcare were more likely to use the internet for health information compared with those who were very satisfied (59.5% vs 48.0%; aOR, 1.78; 95% CI, 1.20–2.64; P=.004). Younger age, female sex, higher educational attainment, and higher socioeconomic status were all associated with increased reported use of the internet for both general and health-specific purposes (P<.001 for all). There was a significant sex*healthcare satisfaction interaction (P=.009) such that for female survivors, healthcare dissatisfaction was associated with higher odds of health-specific internet use (61.4% vs 52.5%; P<.001; men, P=.97). No association was found between healthcare satisfaction and general internet use (P=.42). Conclusions: The increasing proportion of survivors of cancer using the internet for health-specific information may be associated with self-reported dissatisfaction with healthcare. Efforts are needed to improve both access to the internet and the quality of cancer-relevant online health information, and to enhance patients’ online health literacy.

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ObjectiveTo estimate contemporary population‐based patterns of the relative burden of prostate cancer‐specific mortality (PCSM) attributable to each N0M0 prostate cancer risk‐group, that may guide prioritization in research, trial design, and clinical practice.MethodsWe categorized 2004‐2015 Surveillance, Epidemiology, and End Results database patients by risk group (low, favorable intermediate, unfavorable intermediate, high, and very highrisk). Using the Fine‐Gray method, we calculated the relative burden of 10‐year PCSM attributable to each risk group.ResultsAmong N = 337 162 men (6.8‐year median follow‐up; median age 65 years), the relative proportion of low‐, favorable intermediate‐, unfavorable intermediate‐, high‐, and very high‐risk diagnoses were 29.9% (N = 100 969), 31.1% (N = 104 696), 17.9% (N = 60 360), 18.1% (N = 61 023), and 3.0% (N = 10 114). Within 10 years of diagnosis, among patients who died of prostate cancer (N = 15 064), 5.0% (N = 746) had low‐risk, 13.7% (N = 2060) had favorable intermediate‐risk, 16.1% (N = 2429) had unfavorable intermediate‐risk, 47.8% (N = 7196) had high‐risk, and 17.5% (N = 2633) had very high‐risk disease at diagnosis. Patients aged 65 and older accounted for 51.9% of all diagnoses and 72.3% of 10‐year PCSM. Although black patients accounted for 15.0% of low‐risk diagnoses, they accounted for 20.6% of 10‐year PCSM. White patients accounted for 80.3% of low‐risk diagnoses and 75.7% of 10‐year PCSM.ConclusionAlthough high‐risk and very high‐risk disease account for one‐fifth of diagnoses, they account for two‐thirds of 10‐year PCSM. Older patients and black patients with low‐risk disease accounted for a disproportionately large proportion of deaths. These findings support targeting research toward high‐risk disease and ensuring adequate representation of older and black men in clinical trials.

BACKGROUND: A subgroup of men with favorable high-risk prostate cancer (T1c with either a Gleason score of 4 + 4 = 8 and a prostate-specific antigen [PSA] level <10 ng/mL or a Gleason score of 6 and a PSA level >20 ng/mL) has been associated with improved outcomes in comparison with other standard high-risk patients. This study was designed to validate the prognostic utility of a subclassification for high-risk disease with a prospectively collected data set. METHODS: This study identified 3033 men from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial who had been diagnosed from 1993 to 2001 with clinically localized prostate cancer-either intermediate-risk disease (clinical stage T2b-c, a Gleason score of 7, or a PSA level of 10 to 20 ng/mL) or high-risk disease (clinical stage T3-T4, a Gleason score of 8-10, or a PSA level >20 ng/mL)-that was managed with radical prostatectomy or radiation therapy. Multivariable logistic regression was used to calculate adjusted odds ratios (aORs) for pathological T3 to T4 or N1 (pT3-T4/ pN1) disease. Fine and Gray competing risks regression was used to determine adjusted hazard ratios (aHRs) of prostate cancer-specific mortality (PCSM). RESULTS: The median follow-up was 5.7 years. Patients with favorable high-risk disease had lower 8-year PCSM in comparison with patients with standard high-risk disease (2.2% vs 10.8%; aHR, 0.26; 95% confidence interval [CI], 0.09-0.73; P = .01) but similar PCSM in comparison with patients with intermediate-risk disease (2.2% vs 2.2%; aHR, 0.90; 95% CI, 0.32-2.54; P = .84). Among those who underwent surgery, those with favorable high-risk disease had lower odds of pT3-T4/pN1 disease than those with standard high-risk disease (46.2% vs 63.3%; aOR, 0.50; 95% CI, 0.27-0.94; P = .03). CONCLUSIONS: This study validates the prognostic utility of a subclassification for high-risk disease in a prospectively collected patient cohort. Patients with favorable high-risk disease have PCSM similar to that of patients with intermediate-risk disease and significantly better than that of patients with standard high-risk disease. Future trials are needed to assess possible de-intensification of therapy for favorable high-risk disease.

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