Molecular classification and precision therapy of cancer: immune checkpoint inhibitors.
10.1007/s11684-017-0581-0
- Author:
Yingyan YU
1
,
2
Author Information
1. Department of Surgery, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
2. Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. yingyan3y@sjtu.edu.cn.
- Publication Type:Journal Article
- Keywords:
MSI-H;
PD-1/PD-L1;
molecular classification;
pembrolizumab;
precision medicine
- MeSH:
Antibodies, Monoclonal, Humanized;
adverse effects;
therapeutic use;
Antineoplastic Agents, Immunological;
adverse effects;
therapeutic use;
Biomarkers, Tumor;
Humans;
Neoplasms;
drug therapy;
Precision Medicine;
Programmed Cell Death 1 Receptor;
antagonists & inhibitors;
Treatment Outcome;
United States
- From:
Frontiers of Medicine
2018;12(2):229-235
- CountryChina
- Language:English
-
Abstract:
On May 23, 2017, the US Food and Drug Administration (FDA) approved a treatment for cancer patients with positive microsatellite instability-high (MSI-H) markers or mismatch repair deficient (dMMR) markers. This approach is the first approved tumor treatment using a common biomarker rather than specified tumor locations in the body. FDA previously approved Keytruda for treatment of several types of malignancies, such as metastatic melanoma, metastatic non-small-cell lung cancer, recurrent or metastatic head and neck cancer, refractory Hodgkin lymphoma, and urothelial carcinoma, all of which carry positive programmed death-1/programmed death-ligand 1 biomarkers. Therefore, indications of Keytruda significantly expanded. Several types of malignancies are disclosed by MSI-H status due to dMMR and characterized by increased neoantigen load, which elicits intense host immune response in tumor microenvironment, including portions of colorectal and gastric carcinomas. Currently, biomarker-based patient selection remains a challenge. Pathologists play important roles in evaluating histology and biomarker results and establishing detection methods. Taking gastric cancer as an example, its molecular classification is built on genome abnormalities, but it lacks acceptable clinical characteristics. Pathologists are expected to act as "genetic interpreters" or "genetic translators" and build a link between molecular subtypes with tumor histological features. Subsequently, by using their findings, oncologists will carry out targeted therapy based on molecular classification.
