scholarly journals Prognostic impact of insulin receptor expression on survival of patients with nonsmall cell lung cancer

Cancer ◽  
2011 ◽  
Vol 118 (9) ◽  
pp. 2454-2465 ◽  
Author(s):  
Jin-Soo Kim ◽  
Edward S. Kim ◽  
Diane Liu ◽  
J. Jack Lee ◽  
Luisa Solis ◽  
...  
Oncotarget ◽  
2017 ◽  
Vol 8 (5) ◽  
pp. 8738-8751 ◽  
Author(s):  
Yusuke Inoue ◽  
Katsuhiro Yoshimura ◽  
Nobuya Kurabe ◽  
Tomoaki Kahyo ◽  
Akikazu Kawase ◽  
...  

2020 ◽  
Vol 147 (8) ◽  
pp. 2327-2334 ◽  
Author(s):  
Shinkichi Takamori ◽  
Kazuki Takada ◽  
Mototsugu Shimokawa ◽  
Taichi Matsubara ◽  
Naoki Haratake ◽  
...  

Cancer ◽  
1996 ◽  
Vol 78 (1) ◽  
pp. 178-179 ◽  
Author(s):  
Paolo Carbognani ◽  
Michele Rusca ◽  
Antonello Romani ◽  
Lorenzo Spaggiari ◽  
Leonardo Cattelani ◽  
...  

2015 ◽  
Vol 24 (136) ◽  
pp. 340-355 ◽  
Author(s):  
Sandra Wallerek ◽  
Jens Benn Sørensen

Biomarkers may be useful when deciding which nonsmall cell lung cancer (NSCLC) patients may benefit from adjuvant chemotherapy following complete resection and which chemotherapeutic agents may be used preferably in individual patients in order to maximise survival.A literature search covering the period from 2003 to May, 2014 was conducted using PubMed and the following search terms: “non-small cell lung cancer”, “NSCLC”, “adjuvant chemotherapy”, “randomized”, “randomised”, “biomarkers”, “prognostic”, “predictive”. This review focuses on current knowledge of biomarkers for prognosis or efficacy of adjuvant treatment following complete resection in stage I–IIIA NSCLC patients.This review includes results on 18 different biomarkers and five gene profiles. A statistically significant prognostic impact was reported for: iNTR, TUBB3, RRM1, ERCC1, BRCA1, p53, MRP2, MSH2, TS, mucin, BAG-1, pERK1/2, pAkt-1, microRNA, TopIIA, 15-gene profile, 92-gene profile, 31-gene profile and 14-gene profile. A statistically significant predictive impact was reported for: ERCC1, p53, MSH2, p27, TUBB3, PARP1, ATM, 37-gene profile, 31-gene profile, 15-gene profile and 92-gene profile.Uncertainties regarding the optimal analysis method and cut-off levels for the individual markers may blur the prognostic or predictive signals. None of the possible predictive markers have been validated in prospective trials. Thus, there are no biomarkers ready to use in an adjuvant setting in NSCLC.


Cancer ◽  
2010 ◽  
Vol 116 (24) ◽  
pp. 5676-5685 ◽  
Author(s):  
Tom Donnem ◽  
Sigve Andersen ◽  
Khalid Al-Shibli ◽  
Samer Al-Saad ◽  
Lill-Tove Busund ◽  
...  

Cancer ◽  
2011 ◽  
Vol 117 (14) ◽  
pp. 3193-3200 ◽  
Author(s):  
Tom Donnem ◽  
Kenneth Lonvik ◽  
Katrine Eklo ◽  
Thomas Berg ◽  
Sveinung W. Sorbye ◽  
...  

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