Abstract
Lung cancer is the leading cause of deaths related to cancer and accounts for nearly 160, 340 deaths per year. Various new strategies have been developed and adapted for treatment; still the survival for five years is just 16% in patients with non-small-cell lung cancer (NSCLC). Most of these strategies to combat NSCLC whether it’s a drug molecule or immunotherapy/vaccine candidate require a big cost and time. Integration of computational modeling with systems biology has opened new avenues for understanding complex cancer biology. Resolving the complex interactions of various pathways and their crosstalk are leading to oncogenic changes could identify new therapeutic targets with lesser cost and time. Herein, this review provides an overview of various aspects of NSCLC along with available strategies for its cure with our insight into how systems approach could serve as a therapeutic intervention dissecting the immunological parameters and cross talk between various pathways involved.
Published Version
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