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Conghuan Shen
Researcher at Shanghai Jiao Tong University
Publications - 18
Citations - 428
Conghuan Shen is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Liver transplantation & Medicine. The author has an hindex of 8, co-authored 10 publications receiving 344 citations.
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Cisplatin-induced downregulation of miR-199a-5p increases drug resistance by activating autophagy in HCC cell
TL;DR: It is found that miR-199a-5p levels were significantly reduced in HCC patients treated with cisplatin-based chemotherapy, thus offering a new target for chemotherapy of HCC.
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Upregulated miR-130a increases drug resistance by regulating RUNX3 and Wnt signaling in cisplatin-treated HCC cell.
TL;DR: It is demonstrated that upregulated miR-130a directly inhibited expression of tumor suppressor gene RUNX3, which resulted in activation of Wnt/β-catenin signaling and increased drug resistance, thus offering a new target for chemotherapy of HCC.
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Liver transplantation for biliary atresia: A nationwide investigation from 1996 to 2013 in mainland China
Ping Wan,Dongwei Xu,Jianjun Zhang,Qigen Li,Ming Zhang,Xiaosong Chen,Yi Luo,Conghuan Shen,Longzhi Han,Qiang Xia +9 more
TL;DR: The dramatic expansion of pediatric liver transplant programs in mainland China has enabled improved survival for those children affected by this devastating disease, however, screening of BA in neonates should be emphasized throughout the country to enhance early referrals for KP.
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Personalized Tacrolimus Dose Requirement by CYP3A5 but Not ABCB1 or ACE Genotyping in Both Recipient and Donor after Pediatric Liver Transplantation
TL;DR: It is strongly suggested that CYP3A5 genotyping both in recipient and donor, not ABCB1 or ACE is necessary for establishing a personalized TAC dosage regimen in pediatric liver transplant patients.
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Health-related quality of life and sleep among Chinese children after living donor liver transplantation.
TL;DR: Sleep problems are non‐negligible in children after LDLT and predicted significant variance on HRQoL, according to Hierarchical regression analyses.