Publications by authors named "Ying-zhong Fan"

Wilms tumor (WT) is the most common malignant tumor of the urinary system in children. Though the traditional treatment of surgery plus radiotherapy and chemotherapy achieves exciting clinical efficacy, in relapsed and refractory cases, the long-term overall survival rates are poor. Besides, chemotherapy and radiation have serious long-term toxic side effects on children.

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Objective: To screen and identify serum biomarkers for childhood hepatoblastoma (HB).

Methods: The serum samples from 30 children with hepatoblastoma (HB), 20 children with systemic inflammatory response syndrome, and 20 normal children were treated with magnetic bead-based weak cation exchange chromatography. The platform of surface-enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS) was used to eliminate the interference of inflammatory factors and to screen out the differentially expressed proteins in serum between tumor group and normal group.

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MicroRNAs (miRNAs) are dynamically regulated during neurodevelopment, yet few reports have examined their role in spina bifida. In this study, we used an established fetal rat model of spina bifida induced by intragastrically administering olive oil-containing all-trans retinoic acid to dams on day 10 of pregnancy. Dams that received intragastric administration of all-trans retinoic acid-free olive oil served as controls.

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Aim: Combination treatment consisting of surgery and pre-or post-operative corticosteroids for chronic subdural hematoma (CSH) tend to have better outcomes than surgery only. However, there are many complications after long-term use of corticosteroids. In this study, we evaluated the clinical outcomes of local application of corticosteroids combined with surgery for CSH.

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Objective: To analyze the treatment of acute renal failure caused by irrational drug use.

Method: Data of 41 cases of acute renal failure seen from July 2008 to June 2012 in our hospital were reviewed. Bilateral renal parenchymas diffuse echo was found enhanced by ultrasound in all cases.

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Objective: The objective of this study was to identify a specific fingerprint chromatogram model of serum proteins for early screening and diagnosis of Hirschsprung disease.

Methods: To detect the protein mass spectrograms of 78 serum specimens (42 specimens of Hirschsprung disease, 16 specimens of adhesive ileus including appendicitis and Meckel diverticulum after operation and inflammatory bowel disease, and 20 specimens of normal control subjects), we used surface-enhanced laser desorption/ionization time of flight mass spectrometry technology, combined with bioinformatics methods (support vector machine) to develop and compare protein mass spectrograms from serum samples.

Results: We identified 3 protein markers, the mass-to-charge ratio of which is positioned at 3221.

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Objective: To find new biomarkers and to establish serum protein fingerprint models for early detection and diagnosis of nephroblastoma by SELDI-TOF-MS and bioinformatics tools.

Methods: Seventy five serum samples from 35 nephroblastoma patients, 30 children's abdominal solid tumor patients, and 20 healthy children were bound to WCX2 protein chip and tested by surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS). The data of spectra were analyzed by support vector machine(SVM).

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Background: Dendritic cells (DCs) loaded with complex antigen are always used to induce cytotoxic T lymphocytes (CTLs) which have a specific anti-tumor activity. However, CTLs can assault autologous cells induced by DCs loaded with autologous antigen. This study aimed to explore how to weaken the autoimmune reaction induced by DC vaccine by combining mature DC (mDC) activating immunity and immature DC (imDC) leading to immune tolerance to make hepatocellular carcinoma (HCC) vaccine in vitro.

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Article Synopsis
  • The study aimed to identify new biomarkers and create a serum protein fingerprint model to help detect thyroid cancer early.
  • It involved analyzing serum samples from 40 thyroid cancer patients, 9 patients with thyroid adenoma, and 32 healthy individuals using advanced mass spectrometry and machine learning techniques.
  • The resulting diagnostic model effectively distinguished thyroid cancer from healthy samples and adenomas with high specificity and sensitivity, showing promise for accurate early diagnosis.
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