Objective African American men have higher prostate cancer incidence rates than White men, for reasons not completely understood. This review summarizes the existing literature of race-specific associations between risk factors and prostate cancer in order to examine whether associations differ. Methods We reviewed epidemiologic studies published between January 1970 and December 2008 that reported race-specific effect estimates. We focused mainly on modifiable risk factors related to lifestyle and health. A total of 37 articles from 21 study populations met our inclusion criteria. Results We found no evidence of racial differences in associations between prostate cancer and alcohol intake, tobacco use, and family history of prostate cancer. Research suggests that a modest positive association may exist between height and prostate cancer risk (all prostate cancer and advanced prostate cancer) among Whites only. No clear patterns were observed for associations with physical activity, weight/body mass index, dietary factors, occupational history, sexual behavior, sexually transmissible infections, and other health conditions. Discussion Our results suggest few differences in prostate cancer risk factors exist between racial groups and underscore areas where additional research is needed. Future studies should enroll higher numbers of African American participants and report results for advanced prostate cancer.

These results provide insight into novel risk factors for chemotherapy dose modification that may inform clinicians on management strategies to optimize treatment outcomes.

Several comorbidities have recently been shown to affect risk of chemotherapy‐induced febrile neutropenia (FN). Here, we evaluated the added predictive value of these comorbidities beyond established FN risk factors. A retrospective cohort study was conducted among adult patients diagnosed with cancer and treated with chemotherapy at Kaiser Permanente Southern California between 2000 and 2009. The study cohort was equally split into training and validation datasets to develop and evaluate the performance of FN risk prediction models in the first chemotherapy cycle. A reference model was developed based on the model proposed by Lyman et al (Cancer 2011;117:1917). A new model was developed by incorporating the newly identified comorbidities such as rheumatoid conditions and thyroid disorders into the reference model. Area under the receiver operating characteristic curve (AUROCC), risk reclassification, and integrated discrimination improvement (IDI) were used to evaluate the potential improvement of FN risk prediction by incorporating comorbidities. A total of 15 279 patients were included; 4.2% experienced FN in the first chemotherapy cycle. Including comorbidities in FN risk prediction did not improve AUROCC (reference model 0.71 vs new model 0.72). A significant improvement in individual‐level FN risk prediction was indicated by IDI (P = .02). However, significant improvement in risk reclassification was not observed overall (although 6% of all patients were more accurately classified for their FN risk level, 5% were less accurately classified) or when examining predicted FN risk among patients who did and did not develop FN. Incorporating several new comorbidities into FN prediction led to improved FN risk prediction in the first chemotherapy cycle, although the observed improvements were small and might not be clinically relevant.

No abstract

DNA damage recognition and repair is a complex system of genes focused on maintaining genomic stability. Recently, there has been a focus on how breast cancer susceptibility relates to genetic variation in the DNA bypass polymerases pathway. Race-stratified and subtype-specific logistic regression models were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for the association between 22 single-nucleotide polymorphisms (SNPs) in seven bypass polymerase genes and breast cancer risk in the Carolina Breast Cancer Study, a population-based, case–control study (1,972 cases and 1,776 controls). We used SNP-set kernel association test (SKAT) to evaluate the multi-gene, multi-locus (combined) SNP effects within bypass polymerase genes. We found similar ORs for breast cancer with three POLQ SNPs (rs487848 AG/AA vs. GG; OR = 1.31, 95 % CI 1.03–1.68 for Whites and OR = 1.22, 95 % CI 1.00–1.49 for African Americans), (rs532411 CT/TT vs. CC; OR = 1.31, 95 % CI 1.02–1.66 for Whites and OR = 1.22, 95 % CI 1.00–1.48 for African Americans), and (rs3218634 CG/CC vs. GG; OR = 1.29, 95 % CI 1.02–1.65 for Whites). These three SNPs are in high linkage disequilibrium in both races. Tumor subtype analysis showed the same SNPs to be associated with increased risk of Luminal breast cancer. SKAT analysis showed no significant combined SNP effects. These results suggest that variants in the POLQ gene may be associated with the risk of Luminal breast cancer.

Background: Previously identified patient-level risk factors for chemotherapy-induced febrile neutropenia (FN) indicate several potential underlying pathogenic mechanisms, including bone marrow suppression, impaired neutrophil function, or disturbances of barrier function. This study evaluated whether additional clinical characteristics related to these pathogenic mechanisms were risk factors for FN. Patients and Methods: The study population included patients diagnosed with non-Hodgkin's lymphoma or breast, lung, colorectal, ovarian, or gastric cancer between 2000 and 2009 at Kaiser Permanente Southern California and treated with myelosuppressive chemotherapy. Those who received prophylactic granulocyte colony-stimulating factor or antibiotics were excluded. Potential risk factors of interest included surgery, radiation therapy, selected dermatologic/mucosal conditions, and use of antibiotics and corticosteroids. All data were collected using electronic medical records. Multivariable Cox models were used to evaluate associations between these factors and risk of FN in the first chemotherapy cycle, and adjusted using propensity score-based functions. Results: A total of 15,971 patients were included. Of these, 4.3% developed FN in the first chemotherapy cycle. Use of corticosteroids was significantly associated with increased risk of FN (adjusted hazard ratio [aHR], 1.53; 95% CI, 1.17-1.98). Selected dermatologic/mucosal conditions and intravenous antibiotic use were marginally associated with increased risk of FN (aHR, 1.40; 95% CI, 0.98-1.93, and 1.35; 95% CI, 0.97-1.87, respectively). Surgery, radiation therapy, and oral antibiotic use were not statistically significantly associated with FN. Conclusions: Dermatologic or mucosal conditions that might affect barrier integrity and use of corticosteroids and intravenous antibiotics prior to chemotherapy may increase risk of FN and should be considered in prophylaxis use and FN prediction modeling.

NCCN has classified commonly used chemotherapy regimens into high (>20%), intermediate (10%-20%), or low (<10%) febrile neutropenia (FN) risk categories based primarily on clinical trial evidence. Many chemotherapy regimens, however, remain unclassified by NCCN or lack FN incidence data in real-world clinical practice. We evaluated incidence proportions of FN and grade 4 and 3/4 neutropenia during the first chemotherapy course among patients from Kaiser Permanente Southern California who received selected chemotherapy regimens without well-established FN risk. Patients given granulocyte colony-stimulating factor (G-CSF) prophylaxis were excluded. Sensitivity analyses were performed to account for FN misclassification and censoring. From 2008 to 2013, 1,312 patients with breast cancer who received docetaxel and cyclophosphamide (TC; n=853) or docetaxel, carboplatin, and trastuzumab (TCH; n=459); 1,321 patients with colorectal cancer who received capecitabine and oxaliplatin (XELOX; n=401) or leucovorin, 5-fluorouracil, and oxaliplatin (FOLFOX6; n=920); 307 patients with non-Hodgkin's lymphoma who received bendamustine with or without rituximab; and 181 patients with multiple myeloma who received lenalidomide with or without dexamethasone were included. Crude FN risk was >20% for both breast cancer regimens (TC and TCH). Crude FN risks for XELOX, FOLFOX6, bendamustine, and lenalidomide were <10%; however, when potential FN misclassification and censoring were considered, FN risks were >10%. Our results support published literature highlighting the real-world, "high" FN risk of the TC and TCH regimens for breast cancer. There is strong suggestive evidence that FN risks for XELOX, FOLFOX6, bendamustine, and lenalidomide are>10%. Calculation of chemotherapy course-level FN incidence without controlling for differential censoring for patients who discontinued regimens early, or possible FN misclassification, might have resulted in bias toward an underestimation of the true FN risk. These findings help define FN risk of the selected regimens in the real-world setting and inform prophylactic G-CSF use.

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