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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
Next generation sequencing in cancer: opportunities and challenges for precision cancer medicine
Carmela Paolillo1, Eric Londin2, Paolo Fortina1
1a Department of Cancer Biology , Sidney Kimmel Medical College , Philadelphia , PA , USA ;
Abstract:
Over the past decade, testing the genes of patients and their specific cancer types has become standardized practice in medical oncology since somatic mutations, changes in gene expression and epigenetic modifications are all hallmarks of cancer. However, while cancer genetic assessment has been limited to single biomarkers to guide the use of therapies, improvements in nucleic acid sequencing technologies and implementation of different genome analysis tools have enabled clinicians to detect these genomic alterations and identify functional and disease-associated genomic variants. Next-generation sequencing (NGS) technologies have provided clues about therapeutic targets and genomic markers for novel clinical applications when standard therapy has failed. While Sanger sequencing, an accurate and sensitive approach, allows for the identification of potential novel variants, it is however limited by the single amplicon being interrogated. Similarly, quantitative and qualitative profiling of gene expression changes also represents a challenge for the cancer field. Both RT-PCR and microarrays are efficient approaches, but are limited to the genes present on the array or being assayed. This leaves vast swaths of the transcriptome, including non-coding RNAs and other features, unexplored. With the advent of the ability to collect and analyze genomic sequence data in a timely fashion and at an ever-decreasing cost, many of these limitations have been overcome and are being incorporated into cancer research and diagnostics giving patients and clinicians new hope for targeted and personalized treatment. Below we highlight the various applications of next-generation sequencing in precision cancer medicine.
Insights
Next-generation sequencing (NGS) advances cancer diagnostics by enabling comprehensive genomic analysis, identifying therapeutic targets, and personalizing treatment for patients when standard therapies fail.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Cancer is characterized by somatic mutations, gene expression changes, and epigenetic modifications.
- Traditional genetic testing often relies on single biomarkers, limiting comprehensive analysis.
- Previous methods like Sanger sequencing, RT-PCR, and microarrays have limitations in scope and throughput.
Purpose of the Study:
- To highlight the applications of next-generation sequencing (NGS) in precision cancer medicine.
- To demonstrate how NGS overcomes limitations of older sequencing and gene expression profiling technologies.
- To showcase the role of genomic alterations in identifying therapeutic targets and guiding personalized treatment.
Main Methods:
- Utilized advancements in nucleic acid sequencing technologies and genome analysis tools.
- Employed next-generation sequencing (NGS) for comprehensive genomic profiling.
- Analyzed genomic sequence data for timely and cost-effective insights.
Main Results:
- NGS enables detection of a wide range of genomic alterations, including non-coding RNAs.
- Identified functional and disease-associated genomic variants beyond single biomarkers.
- Provided insights into novel therapeutic targets and clinical applications for treatment-resistant cancers.
Conclusions:
- Next-generation sequencing is revolutionizing cancer research and diagnostics.
- NGS facilitates targeted and personalized treatment strategies, offering new hope for patients.
- The integration of NGS into clinical practice is crucial for advancing precision cancer medicine.
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