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Updated: Jun 24, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Molecular classification of solid tumours: towards pathway-driven therapeutics
1Translational Cancer Therapeutics Laboratory, Cancer Research UK London Research Institute, London, UK.
Abstract:
The last decade has witnessed unprecedented developments in the genetic and epigenetic analyses of solid tumours. Transcriptional and DNA copy-number studies have improved our understanding and classification of solid tumours and highlighted the patterns of genomic aberrations associated with outcome. The identification of altered transcriptional and translational silencing by microRNAs and epigenetic modification by methylation in tumours has showed a layer of additional intricacy to the regulation of gene expression in different tumour types. The advent of massive parallel sequencing has allowed whole cancer genomes to be sequenced with extraordinary speed and accuracy providing insight into the bewildering complexity of gene mutations present in solid tumours. Functional genomic studies using RNA interference-screening tools promises to improve the classification of solid tumours by probing the relevance of each gene to tumour phenotype. In this review, we discuss how these studies have contributed to solid tumour classification and why such studies are central to the future of oncology. We suggest that these developments are gradually leading to a change in emphasis of early clinical trials to a therapeutic model guided by the molecular classification of tumours. The investigation of drug efficacy later in development is beginning to rely on patient selection defined by predictive molecular criteria that complement solid tumour classification based on anatomic site.
Insights
Recent advances in cancer genomics and epigenetics are revolutionizing solid tumor classification. Molecular profiling guides future oncology clinical trials and patient selection for targeted therapies.
Area of Science:
- Oncology
- Genomics
- Epigenetics
Background:
- The past decade has seen significant progress in genetic and epigenetic analyses of solid tumors.
- Transcriptional and DNA copy-number studies have enhanced tumor classification and identified genomic aberrations linked to patient outcomes.
- MicroRNA-mediated silencing and DNA methylation add complexity to gene expression regulation in tumors.
Purpose of the Study:
- To review the impact of genetic and epigenetic studies on solid tumor classification.
- To discuss the central role of these studies in the future of oncology.
- To highlight the shift towards molecularly guided therapeutic strategies.
Main Methods:
- Massive parallel sequencing for whole cancer genome analysis.
- Functional genomic studies utilizing RNA interference (RNAi) screening.
- Analysis of transcriptional, copy-number, microRNA, and methylation data.
Main Results:
- Improved understanding and classification of solid tumors.
- Identification of gene mutations and their association with tumor characteristics.
- Revelation of complex gene expression regulatory networks.
Conclusions:
- Genetic and epigenetic studies are crucial for advancing solid tumor classification.
- These advancements are driving a transition to molecularly guided clinical trials.
- Patient selection based on predictive molecular criteria is becoming integral to drug development.
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