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NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION

Year 2022, Volume: 5 Issue: S-1, 28 - 28, 09.08.2022
https://doi.org/10.26650/JARHS2021-1138077

Abstract

In recent years, developments in the field of next-generation sequencing have led to a decrease in prices, making NGS an essential tool in routine diagnosis. Targeted approaches such as gene panels and exome sequencing have provided many advantages in discovering somatic variants with the help of powerful computational algorithms. However, such targeted approaches fall short regarding the discovery of structural variants and regions of non-coding DNA such as introns, non-Coding RNAs, or regulatory elements. Today, the use of whole-genome sequencing is increasing; open-source databases are developing. However, the difficulty of functional studies related to non-coding regions slows down the development of knowledge on this subject and creates a bottleneck in cancer diagnosis and treatment processes. The combination of new generation technologies such as CRISPR-Cas9, Single-cell sequencing, and long-read sequencing provides excellent advantages in discovering and interpreting variants in non-coding regions but creates new generation problems. The ever-increasing need for computational power and the need for trained and highly qualified personnel make the institutionalization of NGS infrastructures rather difficult, which affects the diagnostic processes of patients at the end of the day. Within the scope of this talk, current developments and new generation approaches to these issues will be focused.

References

  • Grozescu T, Popa F. Prostate cancer between prognosis and adequate/proper therapy. J Med Life. 2017;10(1):5-12

NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION

Year 2022, Volume: 5 Issue: S-1, 28 - 28, 09.08.2022
https://doi.org/10.26650/JARHS2021-1138077

Abstract

In recent years, developments in the field of next-generation sequencing have led to a decrease in prices, making NGS an essential tool in routine diagnosis.
Targeted approaches such as gene panels and exome sequencing have provided many advantages in discovering somatic variants with the help of powerful
computational algorithms. However, such targeted approaches fall short regarding the discovery of structural variants and regions of non-coding DNA such
as introns, non-Coding RNAs, or regulatory elements. Today, the use of whole-genome sequencing is increasing; open-source databases are developing.
However, the difficulty of functional studies related to non-coding regions slows down the development of knowledge on this subject and creates a
bottleneck in cancer diagnosis and treatment processes. The combination of new generation technologies such as CRISPR-Cas9, Single-cell sequencing,
and long-read sequencing provides excellent advantages in discovering and interpreting variants in non-coding regions but creates new generation
problems. The ever-increasing need for computational power and the need for trained and highly qualified personnel make the institutionalization of NGS
infrastructures rather difficult, which affects the diagnostic processes of patients at the end of the day. Within the scope of this talk, current developments
and new generation approaches to these issues will be focused.

References

  • Grozescu T, Popa F. Prostate cancer between prognosis and adequate/proper therapy. J Med Life. 2017;10(1):5-12
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Details

Primary Language English
Subjects Clinical Sciences
Journal Section Meeting Abstract
Authors

Ozkan Ozdemir 0000-0002-2647-6416

Publication Date August 9, 2022
Submission Date July 4, 2022
Published in Issue Year 2022 Volume: 5 Issue: S-1

Cite

MLA Ozdemir, Ozkan. “NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION”. Sağlık Bilimlerinde İleri Araştırmalar Dergisi, vol. 5, no. S-1, 2022, pp. 28-28, doi:10.26650/JARHS2021-1138077.