Abstract 2630: Use of the “coexpression extrapolation” algorithm to identify tumor biomarkers that predict drug sensitivity to Vorinostat and Velcade in non-small cell lung cancer

Author(s):  
Alykhan S. Nagji ◽  
Sang-Hoon Cho ◽  
Yuan Liu ◽  
Jae K. Lee ◽  
David R. Jones
Neoplasma ◽  
2018 ◽  
Vol 65 (06) ◽  
pp. 888-897 ◽  
Author(s):  
D. P. Wang ◽  
L. L. Gu ◽  
Q. Xue ◽  
H. Chen ◽  
G. X. Mao

2020 ◽  
Vol 17 (5) ◽  
pp. 587-595 ◽  
Author(s):  
ANCA NASTASE ◽  
AUDREY LUPO ◽  
VICTORIA LASZLO ◽  
DIANE DAMOTTE ◽  
SIMONA DIMA ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20090-e20090
Author(s):  
Peng Luo ◽  
Zhengang Qiu ◽  
Anqi Lin ◽  
Kun Li ◽  
Weiyin Lin ◽  
...  

e20090 Background: Platinum-based chemotherapy, consisting of etoposide and cisplatin (EP), has been the cornerstone of therapy for extensive-stage small cell lung cancer (ES-SCLC) for decades. Despite the marked initial sensitivity of SCLC to chemotherapy, EP regimens cannot avoid the emergence of drug resistance in clinical practice. With the rise of new chemotherapy regimens in recent years and the primary resistance or insensitivity of ES-SCLC to EP regimens, it is desirable to be able to identify patients with resistant or insensitive ES-SCLC. Methods: The sequencing and drug sensitivity data of SCLC cell lines were provided by The Genomics of Drug Sensitivity in Cancer Project (GDSC); the data regarding of sensitivity to etoposide of 54 SCLC cell lines were analyzed, and etoposide-sensitive cell lines and etoposide-resistant cell lines were differentiated according to the IC50 values defined by the GDSC. ROC curve analysis was performed on all mutations and combinations of mutations to select the optimal panel to predict resistance to etoposide. Results: Receiver Operating Characteristic(ROC) analysis of etoposide resistance revealed that the most significant single gene mutation indicating resistance to etoposide was CSMD3, and the accuracy of predicting resistance to etoposide proved to be the highest when there was any mutation in CSMD3/PCLO/RYR1/EPB41L3, area under the curve (AUC) = 0.804 (95% confidence interval (CI): 0.679-0.930, p < 0.001). Conclusions: This study found that a panel with four genes (CSMD3, EPB41L3, PCLO, and RYR1) can accurately predict sensitivity to etoposide. These findings provide new insights into the overall treatment for patients with ES-SCLC that is resistant or insensitive to etoposide.


2016 ◽  
Vol 34 (15_suppl) ◽  
pp. 11602-11602
Author(s):  
Dage Liu ◽  
Nariyasu Nakashima ◽  
Yoshuke Kita ◽  
Yoshimasa Tokunaga ◽  
Kazuhito Nii ◽  
...  

Author(s):  
Elizabeth McMillan ◽  
Christopher DeSevo ◽  
Nathaniel Oswald ◽  
Jordan Hanson ◽  
Pei-Hsuan Chen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document