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Analysis of Human T Cell Activity in an Allogeneic Co-Culture Setting of Pre-Treated Tumor Cells
Published on: March 7, 2025
Molecular classification and precision therapy of cancer: immune checkpoint inhibitors
1Department of Surgery, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. yingyan3y@sjtu.edu.cn.
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.
Insights
The FDA approved a novel cancer treatment for patients with microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) biomarkers, marking a shift towards biomarker-based therapy over tumor location. This expands Keytruda
Area of Science:
- Oncology
- Genetics
- Immunology
Background:
- The US FDA approved a novel cancer treatment based on microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) biomarkers in May 2017.
- This approval represents a significant shift towards biomarker-driven cancer therapy, moving beyond traditional tumor location-based treatments.
- Keytruda, previously approved for various cancers with PD-1/PD-L1 biomarkers, saw its indications expand with this new approach.
Purpose of the Study:
- To highlight the significance of the FDA's approval of a biomarker-based cancer treatment.
- To discuss the expansion of Keytruda's indications.
- To emphasize the role of pathologists in biomarker evaluation and linking molecular subtypes to histological features for targeted therapy.
Main Methods:
- Review of FDA approval data for MSI-H/dMMR cancer treatments.
- Analysis of Keytruda's expanded indications and associated biomarkers (PD-1/PD-L1).
- Discussion of the role of pathologists in interpreting molecular and histological data for patient selection.
Main Results:
- First tumor treatment approved based on a common biomarker (MSI-H/dMMR) rather than tumor site.
- Significant expansion of Keytruda's therapeutic applications.
- Identification of MSI-H/dMMR status in various malignancies, including colorectal and gastric carcinomas, linked to increased neoantigen load and immune response.
Conclusions:
- Biomarker-based patient selection, particularly MSI-H/dMMR, is crucial for modern targeted cancer therapy.
- Pathologists are essential in bridging molecular classification and histological features, enabling effective targeted treatment strategies.
- The development signifies a paradigm shift in oncology, prioritizing genetic profiles for treatment decisions.
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