Abstract 1605: Personalization of cancer treatments with a CLIA-certified high-complexity and high-throughput drug sensitivity test

Author(s):  
Hallie A. Swan ◽  
Michael J. Churchill ◽  
Rachele Rosati ◽  
Franz X. Schaub ◽  
Reid C. Shaw ◽  
...  
2013 ◽  
Vol 17 (4) ◽  
pp. 630-637 ◽  
Author(s):  
Hiroyuki Naitoh ◽  
Hiroshi Yamamoto ◽  
Satoshi Murata ◽  
Hisayuki Kobayashi ◽  
Katsunori Inoue ◽  
...  

Lung Cancer ◽  
2003 ◽  
Vol 41 ◽  
pp. S16
Author(s):  
Motoshi Takao ◽  
Kentaro Inoue ◽  
Fumiaki Watanabe ◽  
Tomohito Tarukawa ◽  
Masanori Kaneda ◽  
...  

2017 ◽  
Vol 39 (5) ◽  
pp. 395-401 ◽  
Author(s):  
Hiroaki Goto ◽  
Norihiko Kitagawa ◽  
Hironobu Sekiguchi ◽  
Yohei Miyagi ◽  
Dai Keino ◽  
...  

2020 ◽  
Vol 10 (8) ◽  
pp. 1213-1217
Author(s):  
Jinghua Xiao ◽  
Yani Li ◽  
Yanxia Wang ◽  
Xinru Wang ◽  
Wanwan Zhang ◽  
...  

This study aims to investigate the killing effect of γ-Fe2O3 combined with carmustine on cervical carcinoma cells, as well as the mechanism of drug resistance of this combined treatment. RT-PCR was used to detect the expression of Multidrug Resistance Gene (MDR-l) gene in all the samples. Results showed that the combination of γ-Fe2O3 and carmustine drugs was significantly better than the control group (P < 0.05), and the tumor showed different degrees of tolerance in combination with the drug. The results of an in vitro drug sensitivity test were consistent with those of mRNA expression of MDR-l gene (P < 0.04). The combination of superparamagnetic γ-Fe2O3 and carmustine derivatives has a better therapeutic effect on cervical carcinoma than either treatment alone. The drug sensitivity test and MDR-l mRNA detection in vitro can improve the accuracy and predictability of cervical carcinoma chemotherapy, providing a scientific basis for individual tumor chemotherapy.


1984 ◽  
Vol 75 (3) ◽  
pp. 453-458
Author(s):  
Takashi Tominaga ◽  
Hironori Kaneko ◽  
Hiroichi Kishi ◽  
Tadao Niijima

2011 ◽  
Vol 13 (6) ◽  
pp. 623-626 ◽  
Author(s):  
Dong Mei Wu ◽  
Guang Lei Fu ◽  
Jing Tao Wang ◽  
Li Ya Ge ◽  
Jian Hua Zhu ◽  
...  

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