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1.
Breast Cancer Res Treat ; 203(2): 291-306, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37851288

ABSTRACT

PURPOSE: Breast cancer is a molecularly heterogeneous disease, and multiple genetic variants contribute to its development and prognosis. Most of previous genome-wide association studies (GWASs) and polygenic risk scores (PRSs) analyses focused on studying breast cancers of Caucasian populations, which may not be applicable to other population. Therefore, we conducted the largest breast cancer cohort of Taiwanese population to fill in the knowledge gap. METHODS: A total of 152,534 Participants recruited by China Medical University Hospital between 2003 and 2019 were filtered by several patient selection criteria and GWAS quality control steps, resulting in the inclusion of 2496 cases and 9984 controls for this study. We then conducted GWAS for all breast cancers and PRS analyses for all breast cancers and the four breast cancer subtypes, including luminal A, luminal B, basal-like, and HER2-enriched. RESULTS: The GWAS analyses identified 113 SNPs, 50 of which were novel. The PRS models for all breast cancers and the luminal A subtype showed positively correlated trends between the PRS and the risk of developing breast cancer. The odds ratios (95% confidence intervals) for the groups with the highest PRS in all breast cancers and the luminal A subtype were 5.33 (3.79-7.66) and 3.55 (2.13-6.14), respectively. CONCLUSION: In summary, we explored the association of genetic variants with breast cancer in the largest Taiwanese cohort and developed two PRS models that can predict the risk of developing any breast cancer and the luminal A subtype in Taiwanese women.


Subject(s)
Breast Neoplasms , Genome-Wide Association Study , Female , Humans , Breast Neoplasms/epidemiology , Breast Neoplasms/genetics , Genetic Predisposition to Disease , Polymorphism, Single Nucleotide , Prognosis , Risk Factors , East Asian People/genetics
2.
Appl Biochem Biotechnol ; 180(4): 753-765, 2016 Oct.
Article in English | MEDLINE | ID: mdl-27179516

ABSTRACT

Soluble coffee, being one of the world's most popular consuming drinks, produces a considerable amount of spent coffee ground (SCG) along with its production. The SCG could function as a potential lignocellulosic feedstock for production of bioproducts. The objective of this study is to investigate the possible optimal condition of dilute acid hydrolysis (DAH) at high solids and mild temperature condition to release the reducing sugars from SCG. The optimal condition was found to be 5.3 % (w/w) sulfuric acid concentration and 118 min reaction time. Under the optimal condition, the mean yield of reducing sugars from enzymatic saccharification of defatted SCG acid hydrolysate was 563 mg/g. The SCG hydrolysate was then successfully applied to culture Lipomyces starkeyi for microbial oil fermentation without showing any inhibition. The results suggested that dilute acid hydrolysis followed by enzymatic saccharification has the great potential to convert SCG carbohydrates to reducing sugars. This study is useful for the further developing of biorefinery using SCG as feedstock at a large scale.


Subject(s)
Bacteria/metabolism , Carbohydrate Metabolism/drug effects , Cellulase/metabolism , Coffee/chemistry , Fermentation/drug effects , Oils/metabolism , Sulfuric Acids/pharmacology , Temperature , Analysis of Variance , Biomass , Carbohydrates/analysis , Hydrolysis , Models, Theoretical , Waste Products
3.
Org Lett ; 14(24): 6146-9, 2012 Dec 21.
Article in English | MEDLINE | ID: mdl-23228019

ABSTRACT

A cyclotriveratrylene-based molecular cage that favors the formation of a room temperature isolable hemicarceplex with C(70), in the presence of C(60), has been developed. Significant differences in the association and dissociation kinetics of the molecular cage and buckyballs allowed the isolation of C(70) in high purity (≥99.0%) from a commercial fullerene extract without the need for recrystallization or HPLC.


Subject(s)
Fullerenes/chemistry , Polycyclic Compounds/chemistry , Magnetic Resonance Spectroscopy , Models, Molecular , Molecular Structure
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