Related Experiment Video

Updated: Feb 21, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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Twenty-First Century Precision Medicine in Oncology: Genomic Profiling in Patients With Cancer

Mitesh J Borad1, Patricia M LoRusso2

  • 1Division of Hematology and Oncology, Mayo Clinic, Scottsdale, AZ; Mayo Clinic Comprehensive Cancer Center, Scottsdale, AZ; Department of Molecular Medicine, Mayo Clinic, Rochester, MN; Center for Individualized Medicine, Mayo Clinic, Rochester, MN.

Mayo Clinic Proceedings
|October 7, 2017
PubMed

Insights

Next-generation sequencing advances cancer care through genomic profiling. Challenges remain in data integration, variant accuracy, tumor heterogeneity, and data privacy for effective clinical application.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) is revolutionizing cancer care by enabling genomic profiling.
  • Current applications focus on target identification in advanced cancers, with ongoing research in prognostication, resistance detection, and early detection.

Purpose of the Study:

  • To review the challenges and considerations in implementing genomic profiling in clinical cancer management.
  • To highlight key areas requiring attention for the effective and ethical use of genomic data in oncology.

Main Methods:

  • This is a review article, synthesizing current knowledge and challenges in the field.
  • It discusses various aspects of genomic profiling implementation, including technological choices and data handling.

Main Results:

  • Genomic profiling offers significant potential but faces hurdles in clinical integration.
  • Key challenges include selecting appropriate sequencing approaches (gene panels vs. comprehensive), integrating diverse data types (DNA and transcriptome), ensuring variant accuracy, managing tumor heterogeneity, handling incidental findings, and addressing data privacy.

Conclusions:

  • Addressing these challenges is crucial for maximizing the benefits of genomic profiling in cancer care.
  • Standardized workflows and collaborative data sharing are essential for advancing the field.

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