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Lung Cancer Heterogeneity and New Strategies for Drug Therapy.
Wang, Diane C; Wang, William; Zhu, Bijun; Wang, Xiangdong.
Affiliation
  • Wang DC; Zhongshan Hospital Institute of Clinical Science, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Clinical Bioinformatics, Shanghai 200032, China; email: Xiangdong.wang@clintransmed.org.
  • Wang W; Zhongshan Hospital Institute of Clinical Science, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Clinical Bioinformatics, Shanghai 200032, China; email: Xiangdong.wang@clintransmed.org.
  • Zhu B; Zhongshan Hospital Institute of Clinical Science, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Clinical Bioinformatics, Shanghai 200032, China; email: Xiangdong.wang@clintransmed.org.
  • Wang X; Zhongshan Hospital Institute of Clinical Science, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Clinical Bioinformatics, Shanghai 200032, China; email: Xiangdong.wang@clintransmed.org.
Annu Rev Pharmacol Toxicol ; 58: 531-546, 2018 01 06.
Article in En | MEDLINE | ID: mdl-28977762
ABSTRACT
Lung cancer heterogeneity plays an important role in the development of drug resistance. Comprehensive molecular characterizations of lung cancer can describe hereditary and somatic gene changes, mutation, and heterogeneity. We discuss heterogeneity specificity, characterization, and roles of PIK3CD, TP53, and KRAS, as well as target-driven therapies and strategies applied in clinical trials based on a proposed precise self-validation system. The system is a specifically selected strategy of treatment for patients with cancer gene mutations and heterogeneity based on gene sequencing, following validation of the strategies in the patient's own cancer cells or in patient-derived xenografts using their own cancer cells isolated during surgery or biopsies. These results will be more precise if the drugs used in the strategies are selected through protein structure-guided compound screening or a DNA-encoded chemical library before validation in the patient's own cancer cells. Thus, a deeper understanding of heterogeneity mechanisms and improved validation of the therapeutic strategy will result in more precise treatments for patients.
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Full text: 1 Database: MEDLINE Main subject: Genetic Heterogeneity / Lung Neoplasms / Antineoplastic Agents Limits: Animals / Humans Language: En Journal: Annu Rev Pharmacol Toxicol Year: 2018 Type: Article

Full text: 1 Database: MEDLINE Main subject: Genetic Heterogeneity / Lung Neoplasms / Antineoplastic Agents Limits: Animals / Humans Language: En Journal: Annu Rev Pharmacol Toxicol Year: 2018 Type: Article