Professor | Jun Xiao | Asia Growth Partners

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Name	Jun Xiao
Contact Information	ixiaojun@ustc.edu.cn
Language ability	Chinese, English
Province	Anhui

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Name

Jun Xiao

Contact Information

ixiaojun@ustc.edu.cn

Language ability

Chinese, English

Province

Anhui

University/Lab Affiliation and Title	University of Science and Technology of China
Faculty	Mayo Clinic College of Medicine
Academic Background & Achievements	1993-09 to 1998-06: Bachelor's in Clinical Medicine, Bengbu Medical College 2004-09 to 2007-06: Master's in Urology, Anhui Medical University 2008-09 to 2011-06: Doctorate in Urology, Sun Yat-sen University
Work Experience	1998-07 to 2003-12: Resident Physician, Urology, Anhui Provincial Hospital 2004-01 to 2011-11: Attending Physician, Urology, Anhui Provincial Hospital 2011-12 to 2016-11: Associate Chief Physician, Urology, Anhui Provincial Hospital 2016-12 to Present: Chief Physician, Urology, The First Affiliated Hospital of USTC (Anhui Provincial Hospital)

University/Lab Affiliation and Title

University of Science and Technology of China

Faculty

Mayo Clinic College of Medicine

Academic Background & Achievements

1993-09 to 1998-06: Bachelor's in Clinical Medicine, Bengbu Medical College
2004-09 to 2007-06: Master's in Urology, Anhui Medical University
2008-09 to 2011-06: Doctorate in Urology, Sun Yat-sen University

Work Experience

1998-07 to 2003-12: Resident Physician, Urology, Anhui Provincial Hospital
2004-01 to 2011-11: Attending Physician, Urology, Anhui Provincial Hospital
2011-12 to 2016-11: Associate Chief Physician, Urology, Anhui Provincial Hospital
2016-12 to Present: Chief Physician, Urology, The First Affiliated Hospital of USTC (Anhui Provincial Hospital)

Areas of Focus	Mechanisms of Tumorigenesis and Tumor Immunity Epigenetics and Microbiology Screening and Detection of Early Tumor Markers Mechanisms of Antitumor Drug Resistance Occurrence and Drug Resistance Mechanisms of Urological Tumors
Publications	Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies., Changming Wang, Lei Yuan, Deyun Shen, Bin Zhang, Baorui Wu, Panrui Zhang, Jun Xiao, Tao Tao, 2022 Construction and Validation of a Clinical Predictive Nomogram for Improving the Cancer Detection of Prostate Naive Biopsy Based on Chinese Multicenter Clinical Data., Tao Tao, Changming Wang, Weiyong Liu, Lei Yuan, Qingyu Ge, Lang Zhang, Biming He, Lei Wang, Ling Wang, Caiping Xiang, Haifeng Wang, Shuqiu Chen, Jun Xiao, 2022 BCL2L13: physiological and pathological meanings., Fei Meng, Naitong Sun, Dongyan Liu, Jia Jia, Jun Xiao, Haiming Dai, 2021 Establishing a novel prediction model for improving the positive rate of prostate biopsy., Tao Tao, Deyun Shen, Lei Yuan, Ailiang Zeng, Kaiguo Xia, Bin Li, Qingyu Ge, Jun Xiao, 2020

Areas of Focus

Mechanisms of Tumorigenesis and Tumor Immunity
Epigenetics and Microbiology
Screening and Detection of Early Tumor Markers
Mechanisms of Antitumor Drug Resistance
Occurrence and Drug Resistance Mechanisms of Urological Tumors

Publications

Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies., Changming Wang, Lei Yuan, Deyun Shen, Bin Zhang, Baorui Wu, Panrui Zhang, Jun Xiao, Tao Tao, 2022
Construction and Validation of a Clinical Predictive Nomogram for Improving the Cancer Detection of Prostate Naive Biopsy Based on Chinese Multicenter Clinical Data., Tao Tao, Changming Wang, Weiyong Liu, Lei Yuan, Qingyu Ge, Lang Zhang, Biming He, Lei Wang, Ling Wang, Caiping Xiang, Haifeng Wang, Shuqiu Chen, Jun Xiao, 2022
BCL2L13: physiological and pathological meanings., Fei Meng, Naitong Sun, Dongyan Liu, Jia Jia, Jun Xiao, Haiming Dai, 2021
Establishing a novel prediction model for improving the positive rate of prostate biopsy., Tao Tao, Deyun Shen, Lei Yuan, Ailiang Zeng, Kaiguo Xia, Bin Li, Qingyu Ge, Jun Xiao, 2020

Tumorigenesis Tumor Immunity Epigenetics Microbiology Early Tumor Markers Detection Antitumor Drug Resistance Urological Tumors Occurrence Mechanisms

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