1.Application of totally implantable venous access ports in chemotherapy for young children with malig-nant tumors
Shiqin QI ; Jian BIAN ; Chengchao LYU
Chinese Journal of Clinical Nutrition 2016;24(2):124-126
Objective To summarize our experiences of applying totally implantable venous access ports ( TIVAP) in chemotherapy for young children with malignant tumors.Methods Between December 2011 and May 2015, 50 young children with malignant tumors were implanted with TIVAP in Anhui Provincial Children's Hospital for chemotherapy.A retrospective review was conducted with their clinical records, focusing on success rate, clinical effect, and complications of TIVAP.Results The technical success rate was 100%with no intrao-perative complication such as puncture-related injury.In one case the device had to be adjusted through reopera-tion due to malposition of catheter tip.The port was removed in one case after 1 year due to infection.15 patients had the ports removed after the completion of chemotherapy.5 patients died due to the relapse and metastasis of tumor.29 patients are still using the port with no complications.Conclusion TIVAP is a safe device in young children, ensuring reliable vascular access for chemotherapy and improving patients'quality of life.
2. Clinical characteristics and risk factors of congenital choledochal cysts
Jing XIAO ; Yang YANG ; Yi XIANG ; Peng LI ; Chengchao LYU ; Baisha HUANG ; Long CEN ; Penghui HAN ; Shenglin LE
Chinese Journal of Perinatal Medicine 2020;23(1):8-17
Objective:
To investigate the clinical characteristics and risk factors of congenital choledochal cysts (CCC).
Methods:
This retrospective study recruited 52 cases who were antenatally diagnosed with CCC and underwent surgical treatment after birth in Guangdong Women and Children Hospital from January 2013 to August 2018, with complete clinical data. According to the enlargement of cysts during pregnancy, they were divided into two groups: progressive group (≥15 mm, 22) and stable group (<15 mm, 30). Antenatal and postpartum ultrasound and MRI features of the two groups were analyzed. Clinical manifestations and biochemical examination results before and after operation were compared between the two groups. Other data, including amylase level in cyst fluid during operation, cholangiography findings, liver biopsy results, and post-operation follow-up, were also analyzed.
3.A highly efficient protein corona-based proteomic analysis strategy for the discovery of pharmacodynamic biomarkers
Yuqing MENG ; Jiayun CHEN ; Yanqing LIU ; Yongping ZHU ; Yin-Kwan WONG ; Haining LYU ; Qiaoli SHI ; Fei XIA ; Liwei GU ; Xinwei ZHANG ; Peng GAO ; Huan TANG ; Qiuyan GUO ; Chong QIU ; Chengchao XU ; Xiao HE ; Junzhe ZHANG ; Jigang WANG
Journal of Pharmaceutical Analysis 2022;12(6):879-888
The composition of serum is extremely complex,which complicates the discovery of new pharmaco-dynamic biomarkers via serum proteome for disease prediction and diagnosis.Recently,nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum.Here,we synthesized a silica-coated iron oxide nanoparticle and devel-oped a highly efficient and reproducible protein corona(PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis.We identified 1,070 proteins with a median coefficient of variation of 12.56%using PC-based proteomic analysis,which was twice the number of proteins iden-tified by direct digestion.There were also more biological processes enriched with these proteins.We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis(CIA)rat model treated with methotrexate(MTX).The bioinformatic results indicated that 485 differentially expressed proteins(DEPs)were found in CIA rats,of which 323 DEPs recovered to near normal levels after treatment with MTX.This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies,but also provide more pharmacodynamic biomarkers for disease prediction,diagnosis,and treatment.