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Beyond precision surgery: Molecularly motivated precision care for gastric cancer
1Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Abstract:
Gastric cancer is one of the leading causes of cancer-related deaths worldwide. Despite the high disease prevalence, gastric cancer research has not gained much attention. Recently, genome-scale technology has made it possible to explore the characteristics of gastric cancer at the molecular level. Accordingly, gastric cancer can be classified into molecular subtypes that convey more detailed information of tumor than histopathological characteristics, and these subtypes are associated with clinical outcomes. Furthermore, this molecular knowledge helps to identify new actionable targets and develop novel therapeutic strategies. To advance the concept of precision patient care in the clinic, patient-derived xenograft (PDX) models have recently been developed. PDX models not only represent histology and genomic features, but also predict responsiveness to investigational drugs in patient tumors. Molecularly curated PDX cohorts will be instrumental in hypothesis generation, biomarker discovery, and drug screening and testing in proof-of-concept preclinical trials for precision therapy. In the era of precision medicine, molecularly tailored therapeutic strategies should be individualized for cancer patients. To improve the overall clinical outcome, a multimodal approach is indispensable for advanced cancer patients. Careful, oncological principle-based surgery, combined with a molecularly guided multidisciplinary approach, will open new horizons in surgical oncology.
Insights
Gastric cancer research is advancing with molecular subtypes and patient-derived xenograft (PDX) models. These innovations are crucial for developing personalized therapies and improving patient outcomes in precision medicine.
Area of Science:
- Oncology
- Genomics
- Precision Medicine
Background:
- Gastric cancer is a leading cause of global cancer deaths, yet research has lagged.
- Molecular-level understanding of gastric cancer is crucial for advancing treatment.
- Patient-derived xenograft (PDX) models offer a promising preclinical tool.
Purpose of the Study:
- To highlight the importance of molecular subtyping in gastric cancer.
- To emphasize the role of PDX models in precision oncology.
- To advocate for a multimodal, molecularly guided approach to gastric cancer treatment.
Main Methods:
- Utilizing genome-scale technologies to classify gastric cancer molecular subtypes.
- Developing and employing patient-derived xenograft (PDX) models.
- Integrating molecular data with clinical outcomes and drug response.
Main Results:
- Molecular subtypes provide deeper tumor insights than histopathology, correlating with clinical outcomes.
- PDX models accurately reflect patient tumor histology and genomics.
- PDX models predict patient response to investigational drugs.
Conclusions:
- Molecular classification and PDX models are vital for identifying therapeutic targets and strategies.
- Personalized, molecularly tailored treatments are essential for precision medicine.
- A multimodal approach combining surgery and molecularly guided therapies improves outcomes for advanced gastric cancer.
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