Development and evaluation of a train-the-trainer workshop for Hong Kong community social service agency staff

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Disrupting Flavone Synthase II Alters Lignin and Improves Biomass Digestibility

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Krit1 inhibited proliferation and metastasis of human colon cancer via DPPIV signaling pathway

Oral presentationpublished_or_final_versionThe 15th Annual Research Conference of the Department of Medicine, The University of Hong Kong, Hong Kong, 16 January 2010. In Hong Kong Medical Journal, 2010, v. 16, suppl. 1, p. 67, abstract no. 11

Exploring community stakeholders? Perceptions of the enhancing family well-being project in Hong Kong: A qualitative study

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Combined LRRK2 mutation, aging and chronic low dose oral rotenone as a model of Parkinson’s disease

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Evaluation of quality of care of Chronic Disease Management Programmes and Public-Private Partnership Programmes of the Hospital Authority

Parallel Session 3 – Delivery of Health Services: no. S12Conference Theme: Translating Health Research into Policy and Practice for Health of the Populationpublished_or_final_versio

Simple non-laboratory-based and laboratory-based risk assessment algorithms and nomogram for detecting undiagnosed diabetes mellitus

This journal suppl. entitled: Abstracts of the 10th International Diabetes Federation–Western Pacific Region Congress and the 6th AASD Scientific MeetingBACKGROUND: Early detection for undiagnosed diabetes mellitus (DM), through routine screening periodically, is critical to prevent or delay severe diabetes-related complications. In order to classify high-risk subjects for DM screening, risk algorithms for undiagnosed DM detection have been richly developed and validated in diverse populations and health care settings. However, the majority of risk algorithms developed within Chinese population were developed and validated in low income setting. Furthermore, there are no nomograms for the use in detecting undiagnosed DM, of which are simple-to-use graphical tool to guide decision-making in both routine clinical practice and community setting. The purpose of this study was to develop simple a nomogram to predict the risk of undiagnosed DM for use in asymptomatic general population, based on non-laboratory-based ...postprin

Emergence of CD26+ cancer stem cells with metastatic properties in colorectal carcinogenesis

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Simple Non-laboratory- and Laboratory-based Risk Assessment Algorithms and Nomogram for Detecting Undiagnosed Diabetes Mellitus

Background: To develop a simple nomogram which can be used to predict the risk of diabetes mellitus (DM) in asymptomatic non-diabetic general population based on non-laboratory-based and laboratory-based risk algorithms. Methods: Anthropometric data, plasma fasting glucose, full lipid profile, exercise habit and family history of DM were collected from Chinese non-diabetic subjects aged 18-70. Logistic regression analysis was performed on the data of a random sample of 2518 subjects to construct non-laboratory-based and laboratory-based risk assessment algorithms for the detection of undiagnosed DM; both algorithms were validated on the data of the remaining sample (n=839). Hosmer-Lemeshow χ2 statistic and area under the receiver-operating characteristic curve (AUC) were employed to assess the calibration and discrimination of the different DM risk algorithms. Results: Of 3357 subjects recruited, 271 (8.1%) had undiagnosed DM defined by fasting glucose≥7.0mmol/L or 2-hour post-load plasma glucose≥11.1mmol/L after oral glucose tolerance test. The non-laboratory-based risk algorithm, with score ranging from 0 to 33, included age, body mass index, family history of DM, regular exercise and uncontrolled blood pressure; the laboratory-based risk algorithm, with score ranging from 0 to 37, added triglyceride level to the risk factors. Both algorithms demonstrated acceptable calibration (Hosmer-Lemeshow test: P=0.229 and P=0.483, respectively) and discrimination (AUC: 0.709 and 0.711, respectively) for the detection of undiagnosed DM. The optimal cutoff point on the receiver-operating characteristic curve was 18 for the detection of undiagnosed DM in both algorithms. Conclusions: Simple-to-use nomogram for detecting undiagnosed DM has been developed using the validated non-laboratory-based and laboratory-based risk algorithms.postprin

Preclinical analysis of the anti-tumor and anti-metastatic effects of Raf265 on colon cancer cells and CD26(+) cancer stem cells in colorectal carcinoma

© 2015 Chow et al.Background: In colorectal carcinoma (CRC), activation of the Raf/MEK/ERK signaling pathway is commonly observed. In addition, the commonly used 5FU-based chemotherapy in patients with metastatic CRC was found to enrich a subpopulation of CD26+ cancer stem cells (CSCs). As activation of the Raf/MEK/ERK signaling pathway was also found in the CD26+ CSCs and therefore, we hypothesized that an ATP-competitive pan-Raf inhibitor, Raf265, is effective in eliminating the cancer cells and the CD26+ CSCs in CRC patients. Methods: HT29 and HCT116 cells were treated with various concentrations of Raf265 to study the anti-proliferative and apoptotic effects of Raf265. Anti-tumor effect was also demonstrated using a xenograft model. Cells were also treated with Raf265 in combination with 5FU to demonstrate the anti-migratory and invasive effects by targeting on the CD26+ CSCs and the anti-metastatic effect of the combined treatment was shown in an orthotopic CRC model. Results: Raf265 was found to be highly effective in inhibiting cell proliferation and tumor growth through the inhibition of the RAF/MEK/ERK signaling pathway. In addition, anti-migratory and invasive effect was found with Raf265 treatment in combination with 5FU by targeting on the CD26+ cells. Finally, the anti-tumor and anti-metastatic effect of Raf265 in combination with 5FU was also demonstrated. Conclusions: This preclinical study demonstrates the anti-tumor and anti-metastatic activity of Raf265 in CRC, providing the basis for exploiting its potential use and combination therapy with 5FU in the clinical treatment of CRC.published_or_final_versio