Abstract 682: Novel Mesenchyme Homeobox2-target transcription axes are involved in cancer-drug resistance, overall survival and therapy prognosis in lung cancer patients: a functional epigenome wide study

2017 ◽  
Author(s):  
Federico Avila Moreno ◽  
Leonel Armas lopez ◽  
Patricia Piña-Sánchez ◽  
Oscar Arrieta ◽  
Enrique Gúzman de Alba ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Drug Resistance ◽  
Cancer Patients ◽  
Cancer Drug ◽  
Lung Cancer Patients ◽  
Cancer Drug Resistance

scholarly journals Epigenomic study identifies a novel mesenchyme homeobox2-GLI1 transcription axis involved in cancer drug resistance, overall survival and therapy prognosis in lung cancer patients

Oncotarget ◽  
2017 ◽  
Vol 8 (40) ◽  
pp. 67056-67081 ◽  
Author(s):  
Leonel Armas-López ◽  
Patricia Piña-Sánchez ◽  
Oscar Arrieta ◽  
Enrique Guzman de Alba ◽  
Blanca Ortiz-Quintero ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Drug Resistance ◽  
Cancer Patients ◽  
Cancer Drug ◽  
Lung Cancer Patients ◽  
Cancer Drug Resistance

scholarly journals Computational methods for the analysis and prediction of drug resistance in EGFR-mutated non-small cell lung cancer patients

2021 ◽  
Author(s):  
Rizwan Qureshi
Keyword(s):  
Lung Cancer ◽  
Drug Resistance ◽  
Computational Methods ◽  
Review Paper ◽  
Small Cell ◽  
Cancer Drug ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Cancer Drug Resistance ◽  
Egfr Mutated

This is a review paper for the analysis and prediction of lung cancer drug resistance. We explore several computational methods, that can provide, biological insights for the analysis, visualization and prediction of lung cancer drug resistance.

scholarly journals Computational methods for the analysis and prediction of drug resistance in EGFR-mutated non-small cell lung cancer patients

2021 ◽  
Author(s):  
Rizwan Qureshi
Keyword(s):  
Lung Cancer ◽  
Drug Resistance ◽  
Computational Methods ◽  
Review Paper ◽  
Small Cell ◽  
Cancer Drug ◽  
Small Cell Lung ◽  
Lung Cancer Patients ◽  
Cancer Drug Resistance ◽  
Egfr Mutated

This is a review paper for the analysis and prediction of lung cancer drug resistance. We explore several computational methods, that can provide, biological insights for the analysis, visualization and prediction of lung cancer drug resistance.

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