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Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Molecular circuits of solid tumors: prognostic and predictive tools for bedside use
Charles Ferté1, Fabrice André, Jean-Charles Soria
1INSERM U981, Department of Medicine, Institut Gustave Roussy, 114 rue Edouard Vaillant, 94805 Villejuif, France.
Nature Reviews. Clinical Oncology
|June 17, 2010
Summary
This review highlights key molecular biomarkers for six major cancers, emphasizing their prognostic and predictive potential. Emerging high-throughput strategies may soon replace single biomarker approaches in cancer diagnostics.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Genomics
Background:
- Recent advances in cancer biology have identified molecular circuits driving solid tumor progression.
- Numerous cancer biomarkers have been discovered, but many require further validation for clinical use.
Purpose of the Study:
- To review prognostic and predictive molecular biomarkers in breast, lung, colorectal, prostate, pancreatic, and ovarian cancers.
- To describe biomarker-associated clinicopathological features and molecular interactions.
- To discuss emerging biomarkers and novel high-throughput strategies.
Main Methods:
- Literature review of molecular prognostic and predictive biomarkers.
- Analysis of clinicopathological presentation and molecular interactions for each biomarker.
- Discussion of emerging biomarker classes and high-throughput strategies.
Main Results:
- Identified key molecular biomarkers for six leading cancer types.
- Detailed associated clinicopathological presentations and molecular interactions.
- Highlighted emerging predictors like DNA repair defects and signaling pathway aberrations (MAPK, PI3K/Akt/mTOR).
Conclusions:
- Few molecular biomarkers are currently in clinical practice, but a new generation is emerging.
- Biomarkers may redefine cancer classification beyond organ-based systems.
- High-throughput strategies are poised to supersede single-biomarker approaches.
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