Fu Jen Catholic University

About: Fu Jen Catholic University is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Population & Medicine. The organization has 6842 authors who have published 9512 publications receiving 171005 citations. The organization is also known as: FJU & Fu Jen.

Concurrent Gene Signatures for Han Chinese Breast Cancers

Abstract: The interplay between copy number variation (CNV) and differential gene expression may be able to shed light on molecular process underlying breast cancer and lead to the discovery of cancer-related genes. In the current study, genes concurrently identified in array comparative genomic hybridization (CGH) and gene expression microarrays were used to derive gene signatures for Han Chinese breast cancers. We performed 23 array CGHs and 81 gene expression microarrays in breast cancer samples from Taiwanese women. Genes with coherent patterns of both CNV and differential gene expression were identified from the 21 samples assayed using both platforms. We used these genes to derive signatures associated with clinical ER and HER2 status and disease-free survival. Distributions of signature genes were strongly associated with chromosomal location: chromosome 16 for ER and 17 for HER2. A breast cancer risk predictive model was built based on the first supervised principal component from 16 genes (RCAN3, MCOLN2, DENND2D, RWDD3, ZMYM6, CAPZA1, GPR18, WARS2, TRIM45, SCRN1, CSNK1E, HBXIP, CSDE1, MRPL20, IKZF1, and COL20A1), and distinct survival patterns were observed between the high- and low-risk groups from the combined dataset of 408 microarrays. The risk score was significantly higher in breast cancer patients with recurrence, metastasis, or mortality than in relapse-free individuals (0.241 versus 0, P<0.001). The concurrent gene risk predictive model remained discriminative across distinct clinical ER and HER2 statuses in subgroup analysis. Prognostic comparisons with published gene expression signatures showed a better discerning ability of concurrent genes, many of which were rarely identifiable if expression data were pre-selected by phenotype correlations or variability of individual genes. We conclude that parallel analysis of CGH and microarray data, in conjunction with known gene expression patterns, can be used to identify biomarkers with prognostic values in breast cancer.

Morphological awareness and learning to read Chinese

Abstract: This study investigated the nature of morphological awareness and its relation to learning to read Chinese characters among 46 Chinese-speaking preschool children. The children took a morphological awareness task, which varied in semantic transparency and morpheme position. Children’s vocabulary knowledge and extant character reading ability were measured. Additionally, a character learning task was administered. Results showed that children’s performances on morphological awareness were affected by semantic transparency but not by morpheme position. Morphological awareness was related to vocabulary knowledge when partialling out character reading ability but not to character reading ability after partialling out vocabulary knowledge. The results of the character learning task further revealed that morphological awareness was related to character identification in the words that were just taught but not to character identification in the words that were not taught or in pseudowords. The relation between morphological awareness and character identification ceased to be significant when partialling out the variance in children’s prior knowledge of the characters to be learnt. Taken together, the findings suggested that vocabulary knowledge may play a more important role than reading ability in the initial development of morphological awareness and that the facilitative effect of morphological knowledge in reading does not seem to be significant in the very initial stages of reading acquisition.

Combining hepatitis B core-related and surface antigens at end of nucleos(t)ide analogue treatment to predict off-therapy relapse risk

Abstract: Background There remains an unmet need for convenient biomarkers to assess the risks of discontinuing nucleos(t)ide analogues (NAs) in chronic hepatitis B (CHB). Aim To investigate if hepatitis B core-related antigen (HBcrAg) is an independent of surface antigen (HBsAg) for risk prediction of NA cessation. Methods This prospective multicentre study enrolled 135 CHB patients who stopped entecavir or tenofovir after achieving viral remission for a median of 25.2 months. All patients stopped NA with negative HBeAg and undetectable viral DNA, and were then observed for clinical relapse and HBsAg loss. Predictors including HBsAg and HBcrAg levels were explored using Cox proportional hazard model and weighted to develop a risk score. Results During a median follow-up of 25.9 months, clinical relapse and HBsAg loss occurred in 66 and eight patients, respectively, with a 5-year cumulative incidence of 56.1% (95% CI 46.7-66.0%) and 8.8% (95% CI 4.3-17.4%), respectively. HBcrAg was an independent relapse predictor, as well as HBsAg, age, ALT and tenofovir use. A score (SCALE-B) was calculated by the equation of 35*HBsAg (log IU/mL) + 20*HBcrAg (log U/mL) + 2*age (year) + ALT (U/L) + 40 for tenofovir use. The concordance rates for clinical relapse were 0.87, 0.88, 0.87, 0.85 and 0.90 at 1, 2, 3, 4 and 5 years, respectively. Moreover, HBsAg loss occurred exclusively in low-risk patients predicted by the score. Conclusions Serum HBcrAg and HBsAg levels were independent predictors of off-NA relapse and can be factored into a risk score to guide treatment cessation in patients with CHB.