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Targeted Therapies in Lung Cancers: Current Landscape and Future Prospects

[ Vol. 16 , Issue. 4 ]

Author(s):

Xin Feng, Wenqing Ding, Junhong Ma, Baijun Liu and Hongmei Yuan*   Pages 540 - 551 ( 12 )

Abstract:


Background: Lung cancer is the most common malignant cancer worldwide. Targeted therapies have emerged as a promising treatment strategy for lung cancers.

Objective: To evaluate the current landscape of targets and find promising targets for future new drug discovery for lung cancers, this research identified the science-technology-clinical development pattern and mapped the interaction network of targets.

Methods: Targets for cancers were classified into 3 groups based on a paper published in Nature. We searched for scientific pieces of literature, patent documents and clinical trials of targets in Group 1 and Group 2 for lung cancers. Then, a target-target interaction network of Group 1 was constructed, and the science-technology-clinical (S-T-C) development patterns of targets in Group 1 were identified. Finally, based on the cluster distribution and the development pattern of targets in Group 1, interactions between the targets were employed to predict potential targets in Group 2 for drug development.

Results: The target-target interaction (TTI) network of group 1 resulted in 3 clusters with different developmental stages. The potential targets in Group 2 are divided into 3 ranks. Level-1 is the first priority and level-3 is the last. Level-1 includes 16 targets, such as STAT3, CRKL, and PTPN11, that are mostly involved in signaling transduction pathways. Level-2 and level-3 contain 8 and 6 targets, respectively, related to various biological functions.

Conclusion: This study will provide references for drug development in lung cancers, emphasizing that priorities should be given to targets in Level-1, whose mechanisms are worth further exploration.

Keywords:

Lung cancer, targeted therapies, science-technology-clinic, target-target interaction network, progress and prospects, signal transduction, target prediction.

Affiliation:

School of Business Administration, Shenyang Pharmaceutical University, Shenyang, School of Business Administration, Shenyang Pharmaceutical University, Shenyang, School of Business Administration, Shenyang Pharmaceutical University, Shenyang, School of Business Administration, Shenyang Pharmaceutical University, Shenyang, School of Business Administration, Shenyang Pharmaceutical University, Shenyang



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