Publications by authors named "Huibo An"
The teratomas formation has severely hindered the application of embryonic stem cells (ESCs) in clinical trials. Apurinic/apyrimidinic endonuclease 1 (APE1) is strongly involved in the development of tumors and differentiation process of stem cells. However, the role of APE1 in teratomas remains unknown.
View Article and Find Full Text PDFObjective: The advanced lung cancer inflammation index (ALI) can predict the survival of patients with lung cancer and other malignancies. However, the prognostic significance of ALI in neuroblastoma has not been reported. This study aimed to evaluate the correlation between ALI and neuroblastoma patient prognosis.
View Article and Find Full Text PDFPurpose: Overexpression of collagen triple helix-repeat containing 1 (CTHRC1) has been reported in many malignancies, where it plays an important role in tumorigenesis and progression. This study aimed to examine the clinical significance of CTHRC1 expression in patients with Wilms' tumor (WT).
Methods: The expression of CTHRC1, and its correlations with various clinicopathological parameters, was analyzed using immunohistochemistry in 42 WT tissues and 42 adjacent non-cancerous tissues.
[Investigation of risk factors for hearing impairment in premature infants].
Zhongguo Dang Dai Er Ke Za Zhi
December 2013
Article Synopsis
- The study examined hearing impairment risk factors in 895 premature infants admitted to a neonatal unit over one year, using otoacoustic emissions for detection.
- The initial hearing screening had a failure rate of 38.4%, with notable percentages of failures based on gestational age, birth weight, and conditions like asphyxia and infection.
- Key risk factors identified included gestational age, birth weight, hyperbilirubinemia, and septicemia, highlighting the need for early screening and follow-up for premature infants to facilitate timely intervention.
Partial least squares based identification of Duchenne muscular dystrophy specific genes.
J Zhejiang Univ Sci B
November 2013
Large-scale parallel gene expression analysis has provided a greater ease for investigating the underlying mechanisms of Duchenne muscular dystrophy (DMD). Previous studies typically implemented variance/regression analysis, which would be fundamentally flawed when unaccounted sources of variability in the arrays existed. Here we aim to identify genes that contribute to the pathology of DMD using partial least squares (PLS) based analysis.
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