Citations

Abstract The success of clinical trials for patients with malignant melanoma (MM) designed from the “promising” results using pre-clinical models is minimal. With its increase in incidence, there is a dire need to develop both pre-clinical models comparable to clinical practice that have the capability to translate from bench-to-bedside and novel therapeutic agents for this life-threatening form of skin cancer. To address this concern, we have developed a panel of pre-clinical MM models including patient matched cell lines, patient cell-line derived xenograft models and patient tumor tissue-derived xenograft models. Patient derived xenograft (PDX) models are purported to most closely replicate a patient's response to therapy. Since the development of patient-derived cell lines and tumors grown in mice were more efficacious, their genetic, phenotypic, and therapeutic responses were compared to those of their corresponding patient-matched PDX model. Each model was molecularly characterized to confirm a match to that of the originating patient tumor tissue via protein immunohistochemistry (IHC), mRNA quantitative polymerase chain reaction (qPCR), DNA short tandem repeat (STR) analysis, and Sanger sequencing. Each pre-clinical model provided a genetic match to their respective patient tumor sample. All pre-clinical models were positive for the melanoma-specific markers (S-100 beta, HMB-45, and Melan-A) confirming a melanoma phenotype. Soft agar studies and tumor growth of our PDX and patient cell-line derived xenograft models confirmed tumorigenicity within our models providing the foundation to perform therapeutic studies. Mutation status data (i.e. BRAF, RAS), patient therapeutic clinical history and oncogene overexpression analysis (pERK, pAKT, PI3K, pmTOR, etc.) provide the platform and rationale behind the use of specific therapeutic agents per model. BRAF, NRAS and KRAS mutations were identified along with elevated pERK, pAKT and pmTOR in the models. Targeted therapies (trametinib/MEK inhibitor; vemurafenib/BRAF inhibitor; MK-2206/pAKT inhibitor; and everolimus/mTOR inhibitor) demonstrated dose dependent inhibition of cell proliferation in each of the models based upon oncogenic expression or mutations. In vivo experiments are in progress, which will allow comparison of the three models. The next steps include combination therapy to identify antitumor synergy targeting oncogenic signaling pathways. Citation Format: Antoneicka L. Harris, Laura Marlow, Adam Mathias, Louis Dawson, William Durham, Kenneth Meshaw, Robert Mullin, Daniel Small, Aidan Synnott, Kevin Wu, Dragana Milosevic, Brian Netzel, Stefan Grebe, Svetomir Markovic, John Copland. Characterization of novel patient derived melanoma xenografts and cell lines in response to targeted therapies. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2417. doi:10.1158/1538-7445.AM2015-2417

Objective: We conducted a systematic review to evaluate whether caregiver-involved interventions improve patient outcomes among adults with dementia or Alzheimer’s disease. Method: We identified and summarized data from randomized controlled trials enrolling adults with dementia or Alzheimer’s disease by searching MEDLINE, PsycINFO, and other sources. Patient outcomes included global quality of life, physical and cognitive functioning, depression/anxiety, symptom control and management, and health care utilization. Results: We identified 31 trials; 20 compared a caregiver intervention with usual care or usual care with promise of intervention at completion of study period. Fifteen compared one caregiver intervention with another individual or caregiver intervention (active control). Compared with usual care or active controls, caregiver-involved interventions had low to insufficient strength of evidence and did not consistently improve patient outcomes. Discussion: Evidence is insufficient to endorse use of most caregiver interventions to improve outcomes for patients with dementia or Alzheimer’s disease.

Objective To update a previously proposed prognostic scoring system that predicts risk of biochemical recurrence ( BCR ) after salvage radiation therapy ( SRT ) for recurrent prostate cancer when using additional patients and a PSA value of 0.2 ng/ mL and rising as the definition of BCR . Patients and Methods We included 577 patients who received SRT for a rising PSA after radical prostatectomy in this retrospective cohort study. Clinical, pathological, and SRT characteristics were evaluated for association with BCR using relative risks ( RR s) from multivariable Cox regression models. Results With a median follow‐up of 5.5 years after SRT , 354 patients (61%) experienced BCR . At 5 years after SRT , 40% of patients were free of BCR . Independent associations with BCR were identified for the PSA level before SRT ( RR [doubling]: 1.25, P < 0.001), pathological tumour stage ( RR [T3a vs T2] 1.21, P = 0.19; RR [T3b/T4 vs T2] 2.09, P < 0.001; overall P < 0.001), Gleason score ( RR [7 vs <7] 1.63, P < 0.001; RR [8–10 vs <7] 2.28, P < 0.001; overall P < 0.001), and surgical margin status ( RR [positive vs negative] 0.71, P = 0.003). We combined these four variables to create a prognostic scoring system that predicted BCR risk with a c ‐index of 0.66. Scores ranged from 0 to 7, and 5‐year freedom from BCR for different levels of the score was as follows: Score = 0–1: 66%, Score = 2: 46%, Score = 3: 28%, Score = 4: 19%, and Score = 5–7: 15%. Conclusion We developed a scoring system that provides an estimation of the risk of BCR after SRT . These findings will be useful for patients and physicians in decision making for radiation therapy in the salvage setting.

AbstractIntroductionAfrican‐American (AA) individuals have a higher risk for late‐onset Alzheimer's disease (LOAD) than Americans of primarily European ancestry (EA). Recently, the largest genome‐wide association study in AAs to date confirmed that six of the Alzheimer's disease (AD)‐related genetic variants originally discovered in EA cohorts are also risk variants in AA; however, the risk attributable to many of the loci (e.g., APOE, ABCA7) differed substantially from previous studies in EA. There likely are risk variants of higher frequency in AAs that have not been discovered.MethodsWe performed a comprehensive analysis of genetically determined local and global ancestry in AAs with regard to LOAD status.ResultsCompared to controls, LOAD cases showed higher levels of African ancestry, both globally and at several LOAD relevant loci, which explained risk for AD beyond global differences.DiscussionExploratory post hoc analyses highlight regions with greatest differences in ancestry as potential candidate regions for future genetic analyses.

Abstract Background. The increase in breast cancer risk during pregnancy and postpartum is well known; however, the molecular phenotype of breast cancers occurring shortly after pregnancy has not been well studied. Given this, we investigated whether nulliparity and the time interval since pregnancy among parous women affects the breast cancer phenotype in young women. Materials and Methods. We examined molecular phenotype in relation to time since pregnancy in a prospective cohort of 707 young women (aged ≤40 years) with breast cancer. Parity was ascertained from study questionnaires. Using tumor histologic grade on central review and biomarker expression, cancers were categorized as luminal A- or B-like, HER2 enriched, and triple negative. Results. Overall, 32% were luminal A-like, 41% were luminal B-like, 9% were HER2 enriched, and 18% were triple negative. Although, numerically, patients diagnosed &gt;5 years after pregnancy had more luminal A-like subtypes than women with shorter intervals since pregnancy, there was no evidence of a relationship between these intervals and molecular subtypes once family history of breast cancer and age at diagnosis were considered. Conclusion. Distribution of breast cancer molecular phenotype did not differ significantly among young women by parity or time interval since parturition when important predictors of tumor phenotype such as age and family history were considered. Implications for Practice: Distribution of breast cancer molecular phenotype did not differ among parous young women by time interval since pregnancy. The implication of these findings for clinical practice suggests that pregnancy-associated breast cancers may be seen up to 5 years beyond parturition.

Abstract Background: Excess adiposity has been associated with lymphomagenesis, possibly mediated by increased cytokine production causing a chronic inflammatory state. The relationship between obesity, cytokine polymorphisms, and selected mature B-cell neoplasms is reported. Method: Data on 4,979 cases and 4,752 controls from nine American/European studies from the InterLymph consortium (1988–2008) were pooled. For diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), joint associations of body mass index (from self-reported height and weight) and 12 polymorphisms in cytokines IL1A (rs1800587), IL1B (rs16944, rs1143627), IL1RN (rs454078), IL2 (rs2069762), IL6 (rs1800795, rs1800797), IL10 (rs1800890, rs1800896), TNF (rs1800629), LTA (rs909253), and CARD15 (rs2066847) were investigated using unconditional logistic regression. BMI-polymorphism interaction effects were estimated using the relative excess risk due to interaction (RERI). Results: Obesity (BMI ≥ 30 kg/m2) was associated with DLBCL risk [OR = 1.33; 95% confidence interval (CI), 1.02–1.73], as was TNF-308GA+AA (OR = 1.24; 95% CI, 1.07–1.44). Together, being obese and TNF-308GA+AA increased DLBCL risk almost 2-fold relative to those of normal weight and TNF-308GG (OR = 1.93; 95% CI, 1.27–2.94), with a RERI of 0.41 (95% CI, −0.05–0.84; Pinteraction = 0.13). For FL and CLL/SLL, no associations with obesity or TNF-308GA+AA, either singly or jointly, were observed. No evidence of interactions between obesity and the other polymorphisms were detected. Conclusions: Our results suggest that cytokine polymorphisms do not generally interact with BMI to increase lymphoma risk but obesity and TNF-308GA+AA may interact to increase DLBCL risk. Impact: Studies using better measures of adiposity are needed to further investigate the interactions between obesity and TNF-308G&gt;A in the pathogenesis of lymphoma. Cancer Epidemiol Biomarkers Prev; 24(7); 1061–70. ©2015 AACR.