METHODS: A total of 12,901 breast cancer cases and 12,583 controls from 12 case-control studies were included in our pooled analysis. HLA imputation was performed using SNP2HLA on 10,886 quality-controlled variants within the 15-55 Mb region on chromosome 6. HLA alleles (n = 175) with info scores greater than 0.8 and frequencies greater than 0.01 were included (resolution at two-digit level: 71; four-digit level: 104). We studied the associations between HLA alleles and breast cancer risk using logistic regression, adjusting for population structure and age. Associations between HLA alleles and the risk of subtypes of breast cancer (ER-positive, ER-negative, HER2-positive, HER2-negative, early-stage, and late-stage) were examined.
RESULTS: We did not observe associations between any HLA allele and breast cancer risk at P
METHODS: Gene panel sequencing was performed for 34 known or suspected breast cancer predisposition genes, of which nine genes (ATM, BRCA1, BRCA2, CHEK2, PALB2, BARD1, RAD51C, RAD51D, and TP53) were associated with breast cancer risk. Associations between PTV carriership in one or more genes and tumor characteristics were examined using multinomial logistic regression. Ten-year overall survival was estimated using Cox regression models in 6477 breast cancer patients after excluding older patients (≥75years) and stage 0 and IV disease.
RESULTS: PTV9genes carriership (n = 690) was significantly associated (p < 0.001) with more aggressive tumor characteristics including high grade (poorly vs well-differentiated, odds ratio [95% confidence interval] 3.48 [2.35-5.17], moderately vs well-differentiated 2.33 [1.56-3.49]), as well as luminal B [HER-] and triple-negative subtypes (vs luminal A 2.15 [1.58-2.92] and 2.85 [2.17-3.73], respectively), adjusted for age at diagnosis, study, and ethnicity. Associations with grade and luminal B [HER2-] subtype remained significant after excluding BRCA1/2 carriers. PTV25genes carriership (n = 289, excluding carriers of the nine genes associated with breast cancer) was not associated with tumor characteristics. However, PTV25genes carriership, but not PTV9genes carriership, was suggested to be associated with worse 10-year overall survival (hazard ratio [CI] 1.63 [1.16-2.28]).
CONCLUSIONS: PTV9genes carriership is associated with more aggressive tumors. Variants in other genes might be associated with the survival of breast cancer patients. The finding that PTV carriership is not just associated with higher breast cancer risk, but also more severe and fatal forms of the disease, suggests that genetic testing has the potential to provide additional health information and help healthy individuals make screening decisions.
METHODS: A qualitative research design was used. In-depth interviews with structured questions following the Context, Input, Process, and Product/Outcomes model framework were conducted with four academic staff, three alumni, and three alumni supervisors from six study sites in six countries. Interview questions were constructed in Thai and translated to English by using forward and backward translation. Verbatim transcriptions were used to perform thematic analysis with investigator triangulation.
RESULTS: Sixty participants were included. The context showed three main themes related to Burden of NCDs, Pharmacist Roles in NCDs, and Goals. The input showed three main themes of Teaching Methods, Development Plans for Academic Staff, and Budgets and Infrastructure. The process showed one main theme of Struggles in Teaching Methods. The outcomes/outputs showed three main themes of Individual, Organizational, and Professional Levels. Schools need curricula that focus on NCDs, pharmacist competency and skills, and academic preparation of students for practice. Gaps limiting achievement of goals included lack of well-trained academic staff, limited learning facilities, self-learning opportunities, acceptance from other health professionals, and career ladders.
CONCLUSIONS: The preparation of pharmacy students varied in six ASEAN countries. Pharmacy education programs must address existing gaps that limit achievement of goals related to NCDs.
METHODS: A parallel RCT was conducted in two hospitals in Malaysia, where 129 CML patients were randomised to MMS or control (usual care) groups using a stratified 1:1 block randomisation method. The 6-month MMS included three face-to-face medication use reviews, CML and TKI-related education, two follow-up telephone conversations, a printed information booklet and two adherence aids. Medication adherence (primary outcome), molecular responses and health-related quality of life (HRQoL) scores were assessed at baseline, 6th and 12th month. Medication adherence and HRQoL were assessed using medication possession ratio and the European Organisation for Research and Treatment in Cancer questionnaire (EORTC_QLQ30_CML24) respectively.
RESULTS: The MMS group (n = 65) showed significantly higher adherence to TKIs than the control group (n = 64) at 6th month (81.5% vs 56.3%; p = 0.002), but not at 12th month (72.6% vs 60.3%; p = 0.147). In addition, a significantly higher proportion of participants in the MMS group achieved major molecular response at 6th month (58.5% vs 35.9%; p = 0.010), but not at 12th month (66.2% vs 51.6%; p = 0.092). Significant deep molecular response was also obtained at 12th month (24.6% vs 10.9%; p = 0.042). Six out of 20 subscales of EORTC-QLQ30-CML24 were significantly better in the MMS group.
CONCLUSIONS: The MMS improved CML patients' adherence to TKI as well as achieved better clinical outcomes.
TRIAL REGISTRATION: Clinicaltrial.gov (ID: NCT03090477).
MATERIALS AND METHODS: In the present study, we examined the adjuvant effect of polymyxin B on the antibacterial activity of curcumin-mediated aPDT against P. aeruginosa. P. aeruginosa was treated with curcumin in the presence of 0.1-0.5 mg/L polymyxin B and irradiated by blue LED light (10 J/cm2). Bacterial cultures treated with curcumin alone served as controls. Colony forming units (CFU) were counted and the viability of P. aeruginosa was calculated after aPDT treatment. The possible underlying mechanisms for the enhanced killing effects were also explored.
RESULTS: The killing effects of curcumin-mediated aPDT against P. aeruginosa was significantly enhanced by polymyxin B (over 2-log reductions). Moreover, it was also observed that addition of polymyxin B in the curcumin-mediated aPDT led to the apparent bacterial membrane damage with increased leakage of cytoplasmic contents and extensive DNA and protein degradation.
DISCUSSION: The photodynamic action of curcumin against P. aeruginosa could be significantly enhanced by the FDA-approved drug polymyxin B. Our results highlight the potential of introducing polymyxin B to enhance the effects of aPDT treatment against gram-negative skin infections, in particular, P. aeruginosa.
METHODS: This study included participants from the intervention arm of a randomised controlled trial which was conducted to evaluate the effects of pharmacist-led interventions on CML patients treated with TKIs. Participants were recruited and followed up in the haematology clinics of two hospitals in Malaysia from March 2017 to January 2019. A pharmacist identified DRPs and helped to resolve them. Patients were followed-up for six months, and their DRPs were assessed based on the Pharmaceutical Care Network Europe Classification for DRP v7.0. The identified DRPs, the pharmacist's interventions, and the acceptance and outcomes of the interventions were recorded. A Poisson multivariable regression model was used to analyse factors associated with the number of identified DRPs per participant.
RESULTS: A total of 198 DRPs were identified from 65 CML patients. The median number of DRPs per participants was 3 (interquartile range: 2, 4). Most participants (97%) had at least one DRP, which included adverse drug events (45.5%), treatment ineffectiveness (31.5%) and patients' treatment concerns or dissatisfaction (23%). The 228 causes of DRPs identified comprised the following: lack of disease or treatment information, or outcome monitoring (47.8%), inappropriate drug use processes (23.2%), inappropriate patient behaviour (19.9%), suboptimal drug selection (6.1%), suboptimal dose selection (2.6%) and logistic issues in dispensing (0.4%). The number of concomitant medications was significantly associated with the number of DRPs (adjusted Odds Ratio: 1.100; 95% CI: 1.005, 1.205; p = 0.040). Overall, 233 interventions were made. These included providing patient education on disease states or TKI-related side effects (75.1%) and recommending appropriate instructions for taking medications (7.7%). Of the 233 interventions, 94.4% were accepted and 83.7% were implemented by the prescriber or patient. A total of 154 DRPs (77.3%) were resolved.
CONCLUSIONS: The pharmacist-led interventions among CML patients managed to identify various DRPs, were well accepted by both TKI prescribers and patients, and had a high success rate of resolving the DRPs.
Methods: This double-blind, randomized, placebo-controlled trial involved fifty subjects with sleep complaints. Subjects with a Pittsburgh Sleep Quality Index (PSQI) score between 6 and 15 were randomized to receive either IQP-AO-101 or placebo for 6 weeks, following a run-in period of one week. Sleep parameters were assessed at baseline and after 1, 4, and 6 weeks using the modified Athens Insomnia Scale (mAIS). Subjects were also instructed to wear an activity tracker and keep a sleep diary during the study. Other questionnaires administered were the Frankfurt Attention Inventory (FAIR-2) and the Profile of Mood States (POMS-65). Blood samples for safety laboratory parameters were taken before and at the end of the study.
Results: After 6 weeks, subjects who consumed IQP-AO-101 reported significant improvements in mAIS scores compared with placebo, including mAIS total score (11.76 ± 6.85 vs 4.00 ± 4.80; p < 0.001); night parameters composite score (5.20 ± 3.80 vs 2.04 ± 3.16; p = 0.001); and day parameters composite score (6.56 ± 4.10 vs 1.96 ± 2.65; p < 0.001). All individual parameters (Items 1 to 8) were also significantly improved from baseline after 6 weeks of IQP-AO-101 intake. Analysis of variance with baseline values as covariates showed statistically significant improvements across all individual parameters for IQP-AO-101 when compared to placebo. The measurements using the activity tracker, sleep diary, FAIR-2, and POMS did not reveal any significant differences between groups. No adverse effects related to the intake of IQP-AO-101 were reported. Tolerability was rated as very good by all the subjects and by the investigator for all cases.
Conclusions: In this study, IQP-AO-101 was well tolerated and efficacious for promoting sleep and enhancing daytime performance in subjects with moderate sleep disturbances.
Clinical Trial Registration: This trial is registered with ClinicalTrials.gov, no. NCT03114696.