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Updated: Jan 11, 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
Advances in Precision Oncology: From Molecular Profiling to Regulatory-Approved Targeted Therapies
Petar Brlek1,2,3,4, Vedrana Škaro2, Nenad Hrvatin1,5
1St. Catherine Specialty Hospital, 10000 Zagreb, Croatia.
Abstract:
The rapid evolution of sequencing technologies has profoundly advanced precision oncology. Whole-exome sequencing (WES), whole-genome sequencing (WGS), and whole-transcriptome sequencing (RNA-Seq) enable comprehensive characterization of tumor biology by detecting actionable mutations, gene fusions, splice variants, copy number alterations, and pathway dysregulation. These approaches also provide critical insights into biomarkers such as homologous recombination deficiency (HRD), tumor mutational burden (TMB), and microsatellite instability (MSI), which are increasingly essential for guiding therapeutic decisions. Importantly, comprehensive genomic profiling not only refines patient stratification for targeted therapies but also sheds light on tumor-immune interactions and the tumor microenvironment, paving the way for more effective immunotherapeutic combinations. WGS is considered the gold standard for detecting germline mutations and complex structural variants, while WES remains central for detecting somatic driver mutations that guide targeted therapies. RNA-Seq complements these methods by capturing gene expression dynamics, identifying clinically relevant fusions, and revealing mechanisms of resistance. Together with advances in bioinformatics and artificial intelligence, these tools translate molecular data into actionable strategies for patient care. This review integrates insights from WGS, WES, and RNA-Seq with an overview of FDA- and EMA-approved targeted therapies, organized by tumor type, and highlights the molecular signaling pathways that drive cancer development and treatment. By bridging genomic profiling with regulatory-approved therapies, we outline current advances and future perspectives in delivering personalized cancer care.
Insights
Precision oncology uses advanced sequencing like whole-genome sequencing (WGS) and whole-exome sequencing (WES) to guide cancer therapies. These methods identify mutations and biomarkers, personalizing treatment for better patient outcomes.
Area of Science:
- Genomics
- Oncology
- Bioinformatics
Background:
- Precision oncology has been revolutionized by advancements in DNA and RNA sequencing technologies.
- Comprehensive genomic profiling is crucial for identifying actionable mutations, biomarkers, and therapeutic targets in cancer.
Purpose of the Study:
- To review the integration of whole-exome sequencing (WES), whole-genome sequencing (WGS), and RNA-Seq in precision oncology.
- To correlate genomic findings with FDA- and EMA-approved targeted therapies across various tumor types.
- To highlight the role of genomic data in understanding cancer biology, treatment resistance, and immune interactions.
Main Methods:
- Review of current literature on WES, WGS, and RNA-Seq applications in oncology.
- Analysis of biomarkers such as homologous recombination deficiency (HRD), tumor mutational burden (TMB), and microsatellite instability (MSI).
- Integration of genomic profiling data with approved targeted therapies and immunotherapies.
Main Results:
- WES, WGS, and RNA-Seq provide comprehensive characterization of tumor biology, including mutations, gene fusions, and pathway dysregulation.
- Genomic biomarkers are essential for patient stratification and guiding therapeutic decisions in oncology.
- Sequencing data offers insights into tumor-immune interactions and mechanisms of therapeutic resistance.
Conclusions:
- The synergy of WES, WGS, and RNA-Seq, coupled with bioinformatics and AI, enables personalized cancer care.
- Bridging genomic profiling with approved therapies optimizes treatment strategies and improves patient outcomes.
- Future directions involve leveraging comprehensive genomic data for novel therapeutic combinations and improved cancer management.
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