African health sciences
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African health sciences · Jun 2023
Overexpression of C19orf48 correlates with poor prognosis in breast cancer.
As one of the most commonly diagnosed cancers in women around the world, breast cancer has been detailed studied. This study aimed to identify the expression of c19orf48 in several kinds of cancers including liver, lung and breast cancers etc. The driving factors behind it were analysed and it found that the amplification of c19orf48 may relate with the elevated expression. ⋯ It was inferred that the c19orf48 play its oncogenic role in development of breast cancer by involving in cell-cycle related biological process. In conclusion, c19orf48 may be a useful and predictive biomarker for the prognosis of breast cancer patients. To the best of our knowledge, this is the first report describing the expression of c19orf48, the potential driving factor led to this and its effect.
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African health sciences · Jun 2023
Meta AnalysisEmricasan for the treatment of liver cirrhosis: a meta-analysis of randomized controlled trials.
The efficacy of emricasan for liver cirrhosis remains controversial. We conduct a systematic review and meta-analysis to explore the influence of emricasan versus placebo on the treatment of liver cirrhosis. ⋯ Emricasan treatment provided no benefit for the treatment of liver cirrhosis.
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African health sciences · Jun 2023
Randomized Controlled TrialEffects of resistance exercise in elderly cancer patients.
To investigate the effects of resistance exercise (RE) in elderly cancer patients (ECPs). ⋯ RE effectively relieved the cancer-related fatigue (CRF) in ECPs, improved their mental state, quality of life and mobility.
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African health sciences · Jun 2023
Factors influencing clinical pregnancy outcome of in vitro fertilization/intracytoplasmic sperm injection in older women.
To analyse the factors influencing clinical pregnancy outcome of in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) in older women, and to establish a risk prediction model. ⋯ The risk prediction model for the pregnancy outcome of IVF/ICSI in older women helps evaluate the fertility probability and risk, providing references for formulating reasonable assisted reproduction plans.