The Opportunities and Challenges of Next-Generation Sequencing in Cancer Biology
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: 25 October 2025 | Viewed by 43
Special Issue Editors
2. Border Biomedical Research Center, The University of Texas at El Paso, El Paso, TX 79968, USA
Interests: bioinformatics; regulatory genomics; insect vectors; molecular genetics; cancer biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Next-generation sequencing (NGS) has revolutionized omics studies, including genomics, transcriptomics, and epigenomics, allowing researchers to explore a wide array of biological questions. NGS’s high throughput and parallel processing capabilities reduce the cost of sequencing significantly compared to traditional methods. Over the past decade, there has been tremendous progress in NGS technologies alongside a sharp decrease in per-base costs. NGS has revolutionized the study and treatment of cancer as it has become an essential tool for gaining a deeper and more accurate understanding of the molecular basis of individual tumors, particularly in genomics-focused pharmacology and personalized medicine. As targeted therapies become the new standard of care in oncology, NGS-driven companion diagnostics are increasingly recognized as crucial for selecting treatments that optimize patient outcomes. NGS offers improved accuracy, sensitivity, and speed over traditional methods in oncology. By assessing multiple genes in a single test, NGS reduces the time to obtain results and conserves valuable clinical samples. Its high sensitivity allows for the detection of mutations present in a low number of the DNA from a tumor sample. While NGS is transforming cancer diagnosis and treatment and offers great potential, it also faces challenges, such as technical limitations, high costs, complex data interpretation, and the need for equitable patient access.
Dr. Sourav Roy
Dr. Taslim Al-Hilal
Guest Editors
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Keywords
- bioinformatics
- DNA-seq
- RNA-seq
- Chip-seq
- epigenomics
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