METHODS: Self-administered questionnaires adapted from the Nordic Musculoskeletal Questionnaire were sent to 105 physiotherapists at three main public hospitals in Kuala Lumpur, Malaysia. The questionnaire had 12 items that covered demographic information, areas of musculoskeletal problems and physiotherapy techniques that could contribute to work-related musculoskeletal disorders. The data obtained were analyzed using the Statistical Package for Social Science version 14 software.
RESULTS: The overall prevalence of work-related injuries during the past 12 months was 71.6%. Female therapists reported a significantly higher prevalence of work-related musculoskeletal disorders than the male therapists (73.0%, p,0.001). Significant differences were observed between the proportion of therapists who had work-related musculoskeletal disorders and those who did not for the group with a body mass index (BMI) .25 (x² = 9.0, p = 0.003) and the group with a BMI of 18-25 (x² = 7.8, p = 0.006). Manual therapy (58.6%) and lifting/transfer tasks (41.3%) were the two physiotherapy techniques that most often contributed to work-related musculoskeletal disorders.
CONCLUSION: Work-related injuries are significantly higher among the physiotherapists in Malaysia compared with many other countries. Female therapists reported a higher incidence of work-related musculoskeletal disorders in this study, and work-related musculoskeletal disorders were more common among therapists working in the pediatric specialty. This study contributes to the understanding of work-related disorders among physiotherapists from a southeast Asian perspective where the profession is in its development stage.
MATERIALS AND METHODS: This randomized, double-blinded, placebo-controlled trial involved treatment-naïve H. pylori-positive patients. Ninety patients received standard triple therapy for 2 weeks before receiving either a probiotic or placebo for 4 weeks. The posttreatment eradication rate was assessed via a 14 C urea breath test in Week 8. The Gastrointestinal Symptom Rating Scale (GSRS) questionnaire and an interview on treatment adverse effects were conducted during this study.
RESULTS: The eradication rate was higher in the probiotic group than in the placebo group, with a 22.2% difference in the intention-to-treat analysis (91.1% vs. 68.9%; p = 0.007) and 24.3% difference in the per-protocol analysis (93.2% vs. 68.9%; p = 0.007). The probiotic group showed significant pre- to post-treatment reductions in indigestion, constipation, abdominal pain, and total GSRS scores. The probiotic group showed significantly greater reductions in GSRS scores than the placebo group: indigestion (4.34 ± 5.00 vs. 1.78 ± 5.64; p = 0.026), abdominal pain (2.64 ± 2.88 vs. 0.89 ± 3.11; p = 0.007), constipation (2.34 ± 3.91 vs. 0.64 ± 2.92; p = 0.023), and total score (12.41 ± 12.19 vs. 4.24 ± 13.72; p = 0.004). The probiotic group reported significantly fewer adverse headache (0% vs. 15.6%; p = 0.012) and abdominal pain (0% vs. 13.3%; p = 0.026) effects.
CONCLUSIONS: There was a significant increase in H. pylori eradication rate and attenuation of symptoms and adverse treatment effects when L. reuteri was given as an adjunct treatment.
METHODS: In total, DNA samples were obtained from 14,525 case subjects with invasive EOC and from 23,447 controls from 43 sites in the Ovarian Cancer Association Consortium (OCAC). Two hundred seventy nine SNPs, representing 131 genes, were genotyped using an Illumina Infinium iSelect BeadChip as part of the Collaborative Oncological Gene-environment Study (COGS). SNP analyses were conducted using unconditional logistic regression under a log-additive model, and the FDR q<0.2 was applied to adjust for multiple comparisons.
RESULTS: The most significant evidence of an association for all invasive cancers combined and for the serous subtype was observed for SNP rs17216603 in the iron transporter gene HEPH (invasive: OR = 0.85, P = 0.00026; serous: OR = 0.81, P = 0.00020); this SNP was also associated with the borderline/low malignant potential (LMP) tumors (P = 0.021). Other genes significantly associated with EOC histological subtypes (p<0.05) included the UGT1A (endometrioid), SLC25A45 (mucinous), SLC39A11 (low malignant potential), and SERPINA7 (clear cell carcinoma). In addition, 1785 SNPs in six genes (HEPH, MGST1, SERPINA, SLC25A45, SLC39A11 and UGT1A) were imputed from the 1000 Genomes Project and examined for association with INV EOC in white-European subjects. The most significant imputed SNP was rs117729793 in SLC39A11 (per allele, OR = 2.55, 95% CI = 1.5-4.35, p = 5.66x10-4).
CONCLUSION: These results, generated on a large cohort of women, revealed associations between inherited cellular transport gene variants and risk of EOC histologic subtypes.
METHODS: In a population of 15,596 epithelial ovarian cancer (EOC) cases and 23,236 controls, we measured genetic associations of 1,351 SNPs in Treg cell pathway genes with odds of ovarian cancer and tested pathway and gene-level associations, overall and by histotype, for the 25 genes, using the admixture likelihood (AML) method. The most significant single SNP associations were tested for correlation with expression levels in 44 ovarian cancer patients.
RESULTS: The most significant global associations for all genes in the pathway were seen in endometrioid ( p = 0.082) and clear cell ( p = 0.083), with the most significant gene level association seen with TGFBR2 ( p = 0.001) and clear cell EOC. Gene associations with histotypes at p < 0.05 included: IL12 ( p = 0.005 and p = 0.008, serous and high-grade serous, respectively), IL8RA ( p = 0.035, endometrioid and mucinous), LGALS1 ( p = 0.03, mucinous), STAT5B ( p = 0.022, clear cell), TGFBR1 ( p = 0.021 endometrioid) and TGFBR2 ( p = 0.017 and p = 0.025, endometrioid and mucinous, respectively).
CONCLUSIONS: Common inherited gene variation in Treg cell pathways shows some evidence of germline genetic contribution to odds of EOC that varies by histologic subtype and may be associated with mRNA expression of immune-complex receptor in EOC patients.
METHODS: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls).
RESULTS: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network.
CONCLUSION: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development.
IMPACT: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization.
METHODS: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data.
RESULTS: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). We found seven loci associated with risk for both cancers (P Bonferroni < 2.4 × 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation.
CONCLUSIONS: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis.
IMPACT: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.