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Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Personalized treatment using predictive biomarkers in solid organ malignancies: A review
Haoming Tang1, Yi Xin Li1, Jun Jie Lian1
1Duke-NUS Medical School, Singapore.
Predictive biomarkers are crucial for personalized cancer treatment, improving diagnosis, treatment selection, and monitoring for solid organ malignancies. Their application guides effective management and enhances patient outcomes in various cancers.
Area of Science:
- Oncology
- Biomarker Research
- Personalized Medicine
Background:
- Biomarkers are increasingly vital in diagnosing and predicting outcomes for solid organ cancers.
- Predictive biomarkers guide personalized treatment strategies, impacting cancer management from initiation to long-term adjustment.
Purpose of the Study:
- To review the application of predictive biomarkers in treating solid organ malignancies.
- To analyze the goals, types, and clinical efficacy of personalized cancer treatment using predictive biomarkers.
Main Methods:
- Literature review focusing on predictive biomarkers in solid organ cancers.
- Analysis of biomarker-guided treatment strategies for common and high-mortality cancers.
- Evaluation of the relative efficacies of predictive biomarkers in clinical settings.
Main Results:
- Predictive biomarkers significantly influence diagnosis, treatment initiation, and monitoring of treatment efficacy and side effects.
- Personalized treatment approaches utilizing predictive biomarkers are effective across diverse solid organ malignancies.
- The review covers colorectal, breast, lung, prostate, pancreatic, liver, kidney, and central nervous system cancers.
Conclusions:
- Predictive biomarkers are essential for advancing personalized oncology and optimizing solid organ malignancy treatment.
- The integration of predictive biomarkers enhances treatment efficacy and patient management in clinical practice.
- Further research into biomarker-driven therapies promises improved outcomes for various cancer types.
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