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1.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-405867

ABSTRACT

Objective To investigate the technical points and the clinical effectiveness of transcatheter arterial chemoembolization (TACE) combined with CT-guided ~(125)I radioactive particle implantation for the treatment of liver cancer. Methods Twenty-seven patients with hepatic cancer, proved by color Doppler ultrasonography, CT and AFP, were enrolled in this study. All the patients received embolization therapy with lipiodol not long before. Of the 27 patients, preoperative CT scanning was performed in 16. Based on the CT findings, the therapeutic protocol was formulated to determine the amount and site of ~(125)I radioactive particle to be implanted. When drawing the outline of target area, the targeted sedimentation extent which was delineated on CT scan should be exceeded the area with deposits of lipiodol by 0.5-1.0 cm. The average energy of ~(125)I radioactive particle was 27-35 keV. Results Of 27 patients, complete remission was seen in 2, partial remission in 16, unchanged condition in 6 and exacerbation of the condition in 3, with a total efficiency of 66.7%. The patients were followed up for 6 months. One patient died of distant metastasis and the remaining ones survived so far. Conclusion Transcatheter arterial chemoembolization combined with CT-guided ~(125)I radioactive particle implantation is a safe and effective treatment for liver cancer.

2.
Oncogene ; 21(47): 7164-74, 2002 Oct 17.
Article in English | MEDLINE | ID: mdl-12370806

ABSTRACT

The microarray array experimental system generates noisy data that require validation by other experimental methods for measuring gene expression. Here we present an algebraic modeling of noise that extracts expression measurements true to a high degree of confidence. This work profiles the expression of 19 200 cDNAs in 35 human gliomas; the experiments are designed to generate four replicate spots/gene with switching of probes. The validity of the extracted measurements is confirmed by: (1) cluster analysis that generates a molecular classification differentiating glioblastoma from lower-grade tumors and radiation necrosis; (2) By what other investigators have reported in gliomas using paradigms for assaying molecular expression other than gene profiling; and (3) Real-time RT-PCR. The results yield a genetic analysis of gliomas and identify classes of genetic expression that link novel genes to the biology of gliomas.


Subject(s)
Gene Expression , Glioma/genetics , Models, Theoretical , Brain Neoplasms/genetics , Gene Expression Profiling , Glioblastoma/genetics , Humans , Multigene Family , Reverse Transcriptase Polymerase Chain Reaction
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