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Pei-yu Pu

Publications and source records attributed to Pei-yu Pu.

5 recordsLinked to original sources

[Study on the expression of epidermal growth factor receptor and p53 in astrocytic gliomas: evidence for a distinct genetic pathway].

OBJECTIVE: To study further the most important and frequent genetic alterations of p53 and epidermal growth factor receptor (EGFR) in astrocytic gliomas. METHODS: (1) EGFR expression was examined in samples collected from 37 astrocytic gliomas and 6 normal brain tissue using reverse transcriptase polymerase chain reaction and immunohistochemical staining. (2) p53 gene mutation and accumulation were detected simultaneously in the same specimens using PCR-SSCP, DNA sequencing and immunohistochemical staining. RESULTS: The frequency of p53 mutation in diffuse astrocytomas, anaplastic astrocytomas, primary glioblastomas and secondary glioblastomas was 1/10, 4/19 (21.1%), 4/6 and 2/2, respectively and the frequency of EGFR overexpression was 5/10, 10/19 (52.6%), 5/6 and 2/2, respectively. Both p53 accumulation and EGFR overexpression increased accompanied by a successive increase of degree of the glioma malignancy. CONCLUSIONS: EGFR overexpression is not infrequently seen, however, p53 mutation is rarely seen in the low grade gliomas. Both p53 gene mutation and EGFR overexpression are often associated with primary and secondary glioblastoma. Consequently, EGFR overexpression and p53 gene mutation are not mutually exclusive in astrocytic gliomagenesis but synergistically to promote the glioma progression.

Adult↗

[Preliminary analysis on the gene expression profiles of medulloblastomas by use of cDNA array].

OBJECTIVE: To explore the molecular genesis of medulloblastomas with cDNA array. METHODS: Four samples of medulloblastomas and 1 sample of normal brain tissue were collected freshly. After total RNA extraction, the (32)P targeted cDNA probes were converted and then hybridized with Atlas Human Cancer Array 1.2. The gene expression profiles were acquired through autoradiography. The discrepancy between the tumor and the normal brain tissue was analyzed with Atlas Image 1.01a. RESULTS: In comparison with the genes in the normal brain tissue, 6 down-regulated and 35 up-regulated genes in the medulloblastomas were revealed by means of the microarrays and autoradiography, and were verified by reverse transcriptase-PCR. The regulatory trends of most differential expression genes were in compliance with the biological features of this tumor. CONCLUSION: Medulloblastomas are diseases involving multiple genes with some molecular pathological mechanisms different from the astrocytic gliomas. There are complex interrelationships between these genes, which need to be further researched.

Child↗

[Preliminary study on the mechanism of connexin 43 gene transfection in the control of glioma cell proliferation].

OBJECTIVE: To study the mechanism involved in the control of glioma cell proliferation with transfection of connexin (Cx) 43 gene. METHODS: C6 rat glioma and TJ905 human glioblastoma cell lines without Cx43 gene expression were transfected with Cx43cDNA mediated by lipofectamine. Northern blot, in situ hybridization and immunohistochemical technology were used to detect the expression of Cx43mRNA and its protein with MTT assay and silver colloid stain for the detection of cell proliferation, TUNEL method for determination of cell apoptosis, scrape loading dye transfer (SLDT) for GJIC, Western blot and immunohistochemical technology for bFGF, PDGF, EGFR, IGF-I and IGFBP3 expression. RESULTS: Cx 43 gene transfected glioma cells showed decreased proliferation, restored GJIC and decreased bFGF, PDGF, IGFBP3, except EGFR expression and cell apoptosis which showed no change. CONCLUSION: The mechanism of Cx 43 gene inhibiting gliomas cell proliferation is the restoration of GJIC and decreased autocrine growth factors.

Animals↗

[Preliminary study on the gene expression profiles of ependymomas with cDNA array].

OBJECTIVE: To investigate the differential gene expression of ependymomas. METHODS: Four fresh samples of ependymomas and 1 of normal brain tissue were collected during operation. The extracted total RNAs were converted as (32)P tagged cDNA probes, which were then hybridized with the Atlas Human Cancer Array, producing the array based hybridization maps following the protocol provided with the kit. A set of special software was applied to the analysis and RT-PCR was performed to test the result. RESULT: In comparison with the normal brain tissue, there were 31 upregulated gene and 1 downregulated gene in ependymomas, most of which were firstly found to be differentially expressed in this kind of tumor. CONCLUSION: The discrepancy of gene expression profiles between ependymomas and normal brain tissues is highly put through and effectively detected with cDNA array, which provides new information for the further research on the molecular mechanisms of this lesion.

Brain↗

[Preliminary analysis on the gene expression profiles of different types of gliomas with cDNA array].

BACKGROUND & OBJECTIVE: There is great signification to classify the molecular pathogenesis of gliomas. Gene chip is able to profile the gene expression of tumors, which may become a new method for studying molecular pathology of tumors. The cDNA was used in order to detect the differences in gene expression profiles of different types of gliomas. METHODS: cDNA probes tagged with 32P were converted from total RNA extracted from 4 samples of 3 different pathological types, including oligodendrogliomas, anaplastic astrocytomas and ependymomas, and one sample of normal human brain tissue as well, which were then hybridized to the Atlas array. After autoradiography, the gene expression profiles were analyzed with the special software and by the cluster analysis. RESULTS: As compared to the normal brain tissue, the number of differential expressed genes in these tumor samples ranging from 11 to 118 was found. These 4 samples could be divided into 3 kinds of types when 107 differential expressed genes were selected to be as the cluster analysis index. This result was in accordance with the neuropathological diagnosis. CONCLUSION: cDNA array is able to profile gene expression in different types of gliomas. Combined with the bioinformational method, we may further obtain useful information about molecular pathology of gliomas.

Gene Expression Profiling↗