scholarly journals Nuclear excision repair-based personalized therapy for non-small cell lung cancer: From hypothesis to reality

2007 ◽  
Vol 39 (7-8) ◽  
pp. 1318-1328 ◽  
Author(s):  
George R. Simon ◽  
Roohi Ismail-Khan ◽  
Gerold Bepler
2020 ◽  
Vol 21 (6) ◽  
pp. 477-481
Author(s):  
Apostolia M. Tsimberidou ◽  
Sheryl Elkin ◽  
Robert Dumanois ◽  
Daryl Pritchard

2011 ◽  
Vol 6 (3) ◽  
pp. 652
Author(s):  
Giulio Rossi ◽  
Nazarena Nannini ◽  
Marcello Tiseo

2007 ◽  
Vol 25 (19) ◽  
pp. 2747-2754 ◽  
Author(s):  
Manuel Cobo ◽  
Dolores Isla ◽  
Bartomeu Massuti ◽  
Ana Montes ◽  
Jose Miguel Sanchez ◽  
...  

Purpose Although current treatment options for metastatic non–small-cell lung cancer (NSCLC) rely on cisplatin-based chemotherapy, individualized approaches to therapy may improve response or reduce unnecessary toxicity. Excision repair cross-complementing 1 (ERCC1) has been associated with cisplatin resistance. We hypothesized that assigning cisplatin based on pretreatment ERCC1 mRNA levels would improve response. Patients and Methods From August 2001 to October 2005, 444 stage IV NSCLC patients were enrolled. RNA was isolated from pretreatment biopsies, and quantitative real-time reverse transcriptase PCR assays were performed to determine ERCC1 mRNA expression. Patients were randomly assigned in a 1:2 ratio to either the control or genotypic arm before ERCC1 assessment. Patients in the control arm received docetaxel plus cisplatin. In the genotypic arm, patients with low ERCC1 levels received docetaxel plus cisplatin, and those with high levels received docetaxel plus gemcitabine. The primary end point was the overall objective response rate. Results Of 444 patients enrolled, 78 (17.6%) went off study before receiving one cycle of chemotherapy, mainly due to insufficient tumor tissue for ERCC1 mRNA assessment. Of the remaining 346 patients assessable for response, objective response was attained by 53 patients (39.3%) in the control arm and 107 patients (50.7%) in the genotypic arm (P = .02). Conclusion Assessment of ERCC1 mRNA expression in patient tumor tissue is feasible in the clinical setting and predicts response to docetaxel and cisplatin. Additional studies are warranted to optimize methodologies for ERCC1 analysis in small tumor samples and to refine a multibiomarker profile predictive of patient outcome.


2009 ◽  
Vol 27 (26) ◽  
pp. 4254-4259 ◽  
Author(s):  
Bente Holm ◽  
Anders Mellemgaard ◽  
Torsten Skov ◽  
Birgit Guldhammer Skov

Purpose The excision repair cross-complementation group 1 (ERCC1) status was assessed in patients receiving carboplatin and gemcitabine for inoperable non–small-cell lung cancer (NSCLC). We analyzed the association between the ERCC1 status and the overall survival after the chemotherapy. Patients and Methods We retrospectively identified 163 patients with inoperable NSCLC and sufficient tumor tissue for ERCC1 analysis, who had received carboplatin and gemcitabine as first-line treatment. Immunohistochemistry was used to assess the expression of ERCC1. Results One hundred sixty-three patients were included. Seventy (42%) were ERCC1 positive. Patients treated with carboplatin and gemcitabine and having ERCC1-negative tumors had a significantly increased survival when compared to patients with ERCC1-positive tumors (median survival, 12.0 months v 8.2 months; P = .02). This difference was mainly seen in men, where those with ERCC1-negative tumors had a significantly increased survival compared to men with ERCC1-positive tumors (median survival, 11.8 months v 7.9 months; P = .005). Conversely, women who were ERCC1 negative did not have a survival advantage over ERCC1-positive women. Conclusion We confirmed previous reports that ERCC1 expression is predictive for outcome in patients treated with carboplatin and gemcitabine. Patients with ERCC1-negative tumors had an increased survival compared to patients with ERCC1-positive tumors and this difference was mainly attributable to a survival difference among men.


2004 ◽  
Vol 22 (14_suppl) ◽  
pp. 3040-3040
Author(s):  
S. Gurubhagavatula ◽  
W. Zhou ◽  
S. Park ◽  
D. S. Neuberg ◽  
T. J. Lynch ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document