Immunotherapy, Immunobiomarkers and Gene Analysis Role in the Improvement of Lung Cancer Treatment
Immunotherapy, Immunobiomarkers and Gene Analysis Role in the Improvement of Lung Cancer Treatment
Author Info
Mostafa Wael Mostafa Hosam Arwa Youssef Rawan Ellackany Abdelrahman Alzahabi
Corresponding Author
Mostafa WaelFaculty of Medicine, Modern University for Technology and Information, Cairo, Egypt
A B S T R A C T
Lung cancer is the second most common cancer with a poor survival rate (18.6%). Recently treatment of lung cancer has been improved starting from choosing appropriate treatment by gene and immunobiomarkers analysis to immunotherapy which played a major role in the treatment of lung cancer and showed improvement in overall survival (OS), progression-free survival (PFS) and objective response rate (ORR) with less adverse effects. Through this triad Immunotherapy, immunobiomarkers and Gene analysis oncologists can provide better treatment for lung cancer patients. The most important cause that makes immunotherapy shows good results in the treatment of lung cancer is P53 gene mutation which is present in more than half of lung cancer patients. P53 gene mutation causes high genetic instability so causes more mutations in cancer cells and more neoantigens are formed. These neoantigens make cancer cells more immunogenic and respond better to the treatment of lung cancer by immunotherapy. The most common immunotherapy drug family that is effective in the treatment of lung cancer is Immune checkpoint inhibitors. Throughout the journey of treatment Immune checkpoint inhibitors can develop resistance by multiple mechanisms that are discussed in the review and to overcome these mechanisms Immune checkpoint inhibitors can be used in combination with other immunotherapies or radiotherapy.
Article Info
Article Type
Review ArticlePublication history
Received: Thu 27, Oct 2022Accepted: Thu 10, Nov 2022
Published: Thu 15, Dec 2022
Copyright
© 2023 Mostafa Wael. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.DOI: 10.31487/j.RCO.2022.01.01