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Updated: Mar 30, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Translating cancer genomes and transcriptomes for precision oncology
Sameek Roychowdhury1,2,3, Arul M Chinnaiyan4,5,6,7,8,9
1Assistant Professor, Department of Internal Medicine, Division of Medical Oncology, The Ohio State University, Columbus, OH.
Next-generation sequencing reveals the cancer genome and transcriptome, enabling personalized diagnostics and targeted therapies. This molecular understanding is crucial for advancing cancer care and clinical decision-making.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Molecular cancer profiling is key for developing clinical biomarkers.
- Next-generation sequencing (NGS) technologies have advanced cancer genome and transcriptome characterization.
- The Cancer Genome Atlas (TCGA) project exemplifies large-scale genomic and transcriptomic analysis.
Purpose of the Study:
- To review the translation of basic cancer genomics and transcriptomics research into clinical applications.
- To outline opportunities for integrating molecular data into patient care.
- To discuss the impact of cancer genome and transcriptome characterization on clinical decision-making.
Main Methods:
- Review of current literature on cancer genomics and transcriptomics.
- Analysis of applications of molecular data in clinical oncology.
- Discussion of future directions for genomic-based cancer research and trials.
Main Results:
- Cancer genome (DNA alterations) and transcriptome (RNA alterations) provide a comprehensive view of tumors.
- Molecular classification, heritable cancer risk, and targeted therapy eligibility are key applications.
- Genomic data is increasingly impacting real-time clinical decisions.
Conclusions:
- Translating cancer genome and transcriptome findings into clinical practice is essential for advancing patient care.
- Genomic-based clinical trials and personalized medicine represent the future of oncology.
- Continued integration of molecular insights promises improved diagnostics, prognostics, and therapeutics.
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