Publications by authors named "Zhen-Hua Du"

Background And Objective: We have previously reported that heterozygous variation presented in platinum-resistant patients. This study aimed to further investigate the mechanism of mutation in the development of platinum resistance in ovarian cancer.

Methods: The was synthesized and used to exchange 1 wildtype allele followed by sequencing to confirm the mutant allele sequence.

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Existing evidence has revealed inconsistent results on the association between metabolic syndrome (MetS) and endometrial cancer (EC) risk. Herein, we aim to better understand this association. Systematic searches of PubMed, EMBASE, and Web of Science through 12 December 2019 were conducted.

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Background: By using a high-throughput sequencing technique, we sought to delineate genetic alterations in recurrent ovarian cancer patients and further compare genetic changes in drug-resistant and -sensitive recurrent ovarian cancer patients. We also sought to study the specificity, sensitivity, and consistency of DNA biomarkers in liquid biopsy specimens and ovarian cancer tissue DNA.

Methods: Tumor tissue specimens and blood samples were obtained from pathologically proven recurrent ovarian cancer patients.

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Background: Colon cancer is the third most common cancer in the world, and its metastasis and drug resistance are challenging for its effective treatment. The PI3K/Akt/mTOR pathway plays a crucial role in the pathogenesis of colon cancer. The aim of this study was to investigate the targeting of PI3K in colon cancer cells HT-29 and HCT-116 in vitro.

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Glioblastoma multiforme (GBM) is known as a highly malignant brain tumor with a poor prognosis, despite intensive research and clinical efforts. In this study, we observed that microRNA-873 (miR-873) was expressed at low levels in GBM and that the overexpression of miR-873 dramatically reduced the cell proliferation, migration, and invasion of GBM cells. Our further investigations of the inhibition mechanism indicated that miR-873 negatively affected the carcinogenesis and metastasis of GBM by down-regulating the expression of IGF2BP1, which stabilizes the mRNA transcripts of its target genes.

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Objective: To define the lower confidence limit of the system reliability of the space metabolism simulation device by using the test data of the comprising units in their development phases.

Method: A new method for defining the environmental conversion factors of failure times has been given basing on the AMSAA model, and the MTBF point evaluated values and lower confidence limits of the units were defined, at last, the lower confidence limit of the system reliability was obtained using L-M method.

Result: The lower confidence limit of the system reliability under confidence level of 0.

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