Risk factors for monoclonal gammopathy of undetermined significance: a systematic review.

Monoclonal gammopathy of undetermined significance (MGUS), precursor of multiple myeloma, is an asymptomatic plasma cell disorder that overproduces serum monoclonal protein. Older age, male sex, black race, and family history of MGUS increase the risk of MGUS, yet other risk factors are known. We systematically reviewed observational epidemiological studies that examined sociodemographic, clinical, and behavioral risk factors for the development of MGUS. The protocol for this study was registered on the PROSPERO registry for systematic reviews. We identified epidemiological studies from PubMed and Scopus. Articles were limited to those written in English and published before February 2019. Five case-control and three cohort studies were eligible for data extraction. Studies evaluating factors associated with MGUS risk are limited, with conflicting conclusions regarding risk associated with obesity. Despite the limited research, a significant elevated risk for being diagnosed with MGUS was associated with several specific prior infections, inflammatory disorders, and smoking. The sparse existing literature suggests an increased risk of MGUS associated with several risk factors related to immune function. Further research is needed to explore the potential mechanisms underlying the development of MGUS and to confirm risk factors, both modifiable and non-modifiable.

Identifying monoclonal gammopathy of undetermined significance in electronic health data.

PURPOSE: Monoclonal gammopathy of undetermined significance (MGUS) is a prevalent yet largely asymptomatic precursor to multiple myeloma. Patients with MGUS must undergo regular surveillance and testing, with few known predictors of progression. We developed an algorithm to identify MGUS patients in electronic health data to facilitate large-scale, population-based studies of this premalignant condition. METHODS: We developed a four-step algorithm using electronic health record and health claims data from men and women aged 50 years or older receiving care from a large, multispecialty medical group between 2007 and 2015. The case definition required patients to have at least two MGUS ICD-9 diagnosis codes within 12 months, at least one serum and/or urine protein electrophoresis and one immunofixation test, and at least one in-office hematology/oncology visit. Medical charts for selected cases were abstracted then adjudicated independently by two physicians. We assessed algorithm validity by positive predictive value (PPV). RESULTS: We identified 833 people with at least two MGUS diagnosis codes; 429 (52%) met all four algorithm criteria. We randomly selected 252 charts for review, including 206 from patients meeting all four algorithm criteria. The PPV for the 206 algorithm-identified charts was 76% (95% CI, 70%-82%). Among the 49 cases deemed to be false positives (24%), 33 were judged to have multiple myeloma or another lymphoproliferative condition, such as lymphoma. CONCLUSIONS: We developed a simple algorithm that identified MGUS cases in electronic health data with reasonable accuracy. Inclusion of additional steps to eliminate cases with malignant disease may improve algorithm performance.

Dairy intake in relation to prostate cancer survival.

Dairy intake has been associated with increased risk of advanced prostate cancer. Two US cohort studies reported increased prostate cancer-specific mortality with increased high-fat milk intake. We examined whether dairy and related nutrient intake were associated with prostate cancer progression in a Swedish patient population with high dairy consumption. We prospectively followed 525 men with newly diagnosed prostate cancer (diagnosed 1989-1994). We identified and confirmed deaths through February 2011 (n = 222 prostate cancer-specific, n = 268 from other causes). Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI) for the associations between food or nutrient intake and prostate cancer-specific death. On average, patients consumed 5.0 servings/day of total dairy products at diagnosis. In the whole population, high-fat milk intake was not associated with prostate cancer-specific death (95% CI: 0.78, 2.10; p-trend = 0.32; multivariate-adjusted model). However, among patients diagnosed with localized prostate cancer, compared to men who consumed <1 servings/day of high-fat milk, those who drank ≥3 servings/day had an increased hazard of prostate cancer mortality (HR = 6.10; 95% CI: 2.14, 17.37; p-trend = 0.004; multivariate-adjusted model). Low-fat milk intake was associated with a borderline reduction in prostate cancer death among patients with localized prostate cancer. These associations were not observed among patients diagnosed with advanced stage prostate cancer. Our data suggest a positive association between high-fat milk intake and prostate cancer progression among patients diagnosed with localized prostate cancer. Further studies are warranted to investigate this association and elucidate the mechanisms by which high-fat milk intake may promote prostate cancer progression.

Intracellular location of BRCA2 protein expression and prostate cancer progression in the Swedish Watchful Waiting Cohort.

Prostate cancer patients with inherited BRCA2 mutations have a survival disadvantage. However, it is unknown whether progression is associated with BRCA2 protein expression in diagnostic prostate cancer tissue, among men without inherited mutations. We conducted a nested case-control study within the Swedish Watchful Waiting cohort. The case group included all 71 patients who died from prostate cancer within 5 years from diagnosis and controls were all patients (n = 165) who lived at least 7 years after diagnosis. Tissue microarrays were stained using antibodies for C- and N-terminal domains of the BRCA2 protein. Location (nuclear, cytoplasmic and membranous) and magnitude (intensity and percentage) of expression were assessed. Logistic regression models produced odds ratios (OR) and 95% confidence intervals (CI) adjusted for age, year of diagnosis and Gleason score. Positive BRCA2 staining at the cell membrane was associated with reduced risk of death within 5 years (N-terminal: OR = 0.47, 95% CI = 0.21-1.04, P = 0.06; C-terminal: OR = 0.41, 95% CI = 0.18-0.91, P = 0.03) and low Gleason scores (P = 0.006). Positive cytoplasmic C-terminal staining was associated with higher Gleason scores and increased lethality (OR = 3.61, 95% CI = 1.61-8.07, P = 0.002). BRCA2 protein expression at the cell membrane and lack of C-terminal expression in the cytoplasm were associated with a reduced risk of rapidly fatal prostate cancer. BRCA2 protein expression in prostate cancer tissue may have independent prognostic value. The potential biological significance of BRCA2 expression at the cell membrane warrants further investigation.