Author:
Hanafi Arif Riswahyudi,Hanif Muhammad Alfin,Pangaribuan Mariska T.G.,Ariawan Wily Pandu,Sutandyo Noorwati,Kurniawati Sri Agustini,Setiawan Lyana,Cahyanti Dian,Rayhani Farilaila,Imelda Priscillia
Abstract
Abstract
Introduction
Advances in molecular biology bring advantages to lung cancer management. Moreover, high-throughput molecular tests are currently useful for revealing genetic variations among lung cancer patients. We investigated the genomics profile of the lung cancer patients at the National Cancer Centre of Indonesia.
Methods
A retrospective study enrolled 627 tissue biopsy samples using real time polymerase chain reaction (RT-PCR) and 80 circulating tumour DNA (ctDNA) liquid biopsy samples using next-generation sequencing (NGS) from lung cancer patients admitted to the Dharmais Cancer Hospital from January 2018 to December 2022. Data were obtained from medical records. Data statistically analysed with p < 0.05 is considered significant.
Result
The EGFR test results revealed by RT-PCR were wild type (51.5%), single variant (38.8%), double variant (8.3%), and triple variant (1.4%), with 18.66% L85R, 18.22% Ex19del, and 11.08% L861Q variant. Liquid biopsy ctDNA using NGS showed only 2.5% EGFR wild type, 62.5% single variant and 35% co-variant, with EGFR/TP53 and EGFR/PIK3CA as the highest.
Conclusion
EGFR variants are the most found in our centre. Liquid biopsy with ctDNA using NGS examination could detect broad variants and co-variants that will influence the treatment planning.
Publisher
Springer Science and Business Media LLC
Subject
Pulmonary and Respiratory Medicine
Reference61 articles.
1. Global Cancer Observatory (gco.iacr.fr) [Internet]. Lyon: International Agency for Research of Cancer; 2022. Cancer today pie chart: Estimated number of new cases in 2020 worldwide, both sexes, all ages. Available from: Cancer Today (iarc.fr). Accessed on August 22, 2023.
2. World Health Organization. Indonesia [Internet]. World Health Organization; 2021. p1–2. Available from: https://gco.iarc.fr/today/data/factsheets/populations/360-indonesia-fact-sheets.pdf. Accessed on August 22, 2023.
3. Hu T, Chitnis N, Monos D, Dinh A. Next-generation sequencing technologies: an overview. Hum Immunol. 2021;82(11):801–11. https://doi.org/10.1016/j.humimm.2021.02.012.
4. Sabour L, Sabour M, Ghorbian S. Clinical applications of next-generation sequencing in Cancer diagnosis. Pathol Oncol Res. 2017;23(2):225–34. https://doi.org/10.1007/s12253-016-0124-z.
5. Midha A, Dearden S, McCormack R. EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII). Am J Cancer Res. 2015;5(9):2892–911.