Sheng-bang Yang
Guangdong Key Laboratory Of Clinical Molecular Medicine And Diagnostics
Guangzhou, China
Guangzhou, China
Last Updated: 09/26/2026
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Found 9 publications
The study of multiple diagnosis models of human prostate cancer based on Taylor database by artificial neural networks.
Journal: Journal of the Chinese Medical Association : JCMA
Published: March 29, 2020
Increasing of FKBP9 can predict poor prognosis in patients with prostate cancer.
Journal: Pathology, research and practice
Published: August 05, 2019
miR‑30c suppresses prostate cancer survival by targeting the ASF/SF2 splicing factor oncoprotein.
Journal: Molecular medicine reports
Published: June 18, 2016
miR-195 Inhibits Tumor Progression by Targeting RPS6KB1 in Human Prostate Cancer.
Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
Published: February 20, 2015
Down-regulation of dual-specificity phosphatase 5 predicts poor prognosis of patients with prostate cancer.
Journal: International journal of clinical and experimental medicine
Published: December 18, 2014
CC chemokine ligand 18 correlates with malignant progression of prostate cancer.
Journal: BioMed research international
Published: March 14, 2014
Combined overexpression of HIVEP3 and SOX9 predicts unfavorable biochemical recurrence-free survival in patients with prostate cancer.
Journal: OncoTargets and therapy
Published: February 05, 2014
An integrative proteomics and interaction network-based classifier for prostate cancer diagnosis.
Journal: PloS one
Published: January 27, 2013
Expression of SOCSs in human prostate cancer and their association in prognosis.
Journal: Molecular and cellular biochemistry
Published: December 12, 2012
Showing 1-9 of 9
Last Updated: 09/26/2026