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Next Generation Sequencing in Clinical Oncology: Applications, Challenges and Promises: A Review Article
Faezeh Shabani Azim1, Hamidreza Houri2, Zohreh Ghalavand2
1Student Scientific Research Center, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Background:
The aim of this mini-review is to highlight the potential applications of next-generation sequencing technology to the field of clinical oncology with respect to genetic diagnosis, cancer classification, predictive biomarkers and personalized medicine.
Methods:
Scientific databases were searched to collect relative data.
Results:
Effective systematic analysis of whole-genome sequence and whole-exome sequence of tumors, targeted genome profiling, transcriptome sequencing and tumor-normal comparisons can be performed using NGS in order to diagnosis of several types of cancer.
Conclusion:
NGS technology can be powerful enough to discover new and infrequent gene alterations, identify hereditary cancer mutation carriers and provide a reliable molecular portrait of wide range of cancers in a quick and cost-effective manner.
Insights
Next-generation sequencing (NGS) offers powerful applications in clinical oncology for genetic diagnosis, cancer classification, and personalized medicine. This technology enables rapid, cost-effective molecular profiling for improved cancer care.
Area of Science:
- Genomics and Bioinformatics
- Oncology and Cancer Research
- Molecular Diagnostics
Background:
- Clinical oncology increasingly relies on advanced molecular insights for patient care.
- Next-generation sequencing (NGS) technology has emerged as a transformative tool in this domain.
Purpose of the Study:
- To review the applications of next-generation sequencing in clinical oncology.
- To highlight its role in genetic diagnosis, cancer classification, predictive biomarkers, and personalized medicine.
Main Methods:
- A comprehensive search of scientific databases was conducted.
- Relevant data pertaining to NGS applications in oncology was collected and analyzed.
Main Results:
- NGS facilitates effective analysis of whole-genome and whole-exome sequences of tumors.
- Targeted genome profiling, transcriptome sequencing, and tumor-normal comparisons are achievable.
- These analyses aid in the diagnosis of various cancer types.
Conclusions:
- NGS technology is capable of discovering novel and rare gene alterations.
- It aids in identifying hereditary cancer mutation carriers.
- NGS provides a reliable, quick, and cost-effective molecular portrait of diverse cancers.
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