Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience
Lung cancer is one of the most common cancers and a leading cause of cancer-related mortality in Malaysia. This analysis aimed to evaluate the prevalence of actionable and common mutations, as well as co-mutations frequently occurring with EGFR variants in lung cancer. Mutational profiling of lung t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/109443/ http://psasir.upm.edu.my/id/eprint/109443/1/jmp-04-00004.pdf |
| _version_ | 1848865372359360512 |
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| author | Rajadurai, Pathmanathan Yap, Ning Yi Mohamed Yousoof, Saira Bahnu Cheah, Yoke Kqueen |
| author_facet | Rajadurai, Pathmanathan Yap, Ning Yi Mohamed Yousoof, Saira Bahnu Cheah, Yoke Kqueen |
| author_sort | Rajadurai, Pathmanathan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Lung cancer is one of the most common cancers and a leading cause of cancer-related mortality in Malaysia. This analysis aimed to evaluate the prevalence of actionable and common mutations, as well as co-mutations frequently occurring with EGFR variants in lung cancer. Mutational profiling of lung tumour samples was performed using next generation sequencing (NGS) panels at the Subang Jaya Medical Centre laboratory. A total of 469 lung tumour samples referred from several medical facilities in Malaysia were analysed and 84% were of the adenocarcinoma subtype. The three most frequent mutations found were EGFR (46.5%), TP53 (37.5%) and KRAS (14.3%). Actionable mutations with approved drug targets for lung cancer were detected in 63.5% of patient samples. Among patients with EGFR mutations, deletions in exon 19 were detected in 44.5% and p.L858R in 38.5% of samples. The most common co-mutations for samples with EGFR mutations were found in the TP53 gene (38.1%). A median turnaround time (TAT) of 3 working days was achievable with an automated NGS platform. NGS testing can provide valuable information on the mutational landscape and the prevalence of common or actionable mutations present in lung cancer patients. This real-world experience demonstrates the high percentage of actionable mutations detected and highlights the value of NGS testing in a clinical diagnostic setting. |
| first_indexed | 2025-11-15T14:03:40Z |
| format | Article |
| id | upm-109443 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:03:40Z |
| publishDate | 2023 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1094432024-12-10T03:03:02Z http://psasir.upm.edu.my/id/eprint/109443/ Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience Rajadurai, Pathmanathan Yap, Ning Yi Mohamed Yousoof, Saira Bahnu Cheah, Yoke Kqueen Lung cancer is one of the most common cancers and a leading cause of cancer-related mortality in Malaysia. This analysis aimed to evaluate the prevalence of actionable and common mutations, as well as co-mutations frequently occurring with EGFR variants in lung cancer. Mutational profiling of lung tumour samples was performed using next generation sequencing (NGS) panels at the Subang Jaya Medical Centre laboratory. A total of 469 lung tumour samples referred from several medical facilities in Malaysia were analysed and 84% were of the adenocarcinoma subtype. The three most frequent mutations found were EGFR (46.5%), TP53 (37.5%) and KRAS (14.3%). Actionable mutations with approved drug targets for lung cancer were detected in 63.5% of patient samples. Among patients with EGFR mutations, deletions in exon 19 were detected in 44.5% and p.L858R in 38.5% of samples. The most common co-mutations for samples with EGFR mutations were found in the TP53 gene (38.1%). A median turnaround time (TAT) of 3 working days was achievable with an automated NGS platform. NGS testing can provide valuable information on the mutational landscape and the prevalence of common or actionable mutations present in lung cancer patients. This real-world experience demonstrates the high percentage of actionable mutations detected and highlights the value of NGS testing in a clinical diagnostic setting. Multidisciplinary Digital Publishing Institute 2023-01-11 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/109443/1/jmp-04-00004.pdf Rajadurai, Pathmanathan and Yap, Ning Yi and Mohamed Yousoof, Saira Bahnu and Cheah, Yoke Kqueen (2023) Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience. Journal of Molecular Pathology, 4 (1). pp. 31-43. ISSN 2673-5261 https://www.mdpi.com/2673-5261/4/1/4 10.3390/jmp4010004 |
| spellingShingle | Rajadurai, Pathmanathan Yap, Ning Yi Mohamed Yousoof, Saira Bahnu Cheah, Yoke Kqueen Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience |
| title | Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience |
| title_full | Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience |
| title_fullStr | Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience |
| title_full_unstemmed | Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience |
| title_short | Mutational profiling of lung cancer using next generation sequencing: a Malaysian real-world clinical diagnostic experience |
| title_sort | mutational profiling of lung cancer using next generation sequencing: a malaysian real-world clinical diagnostic experience |
| url | http://psasir.upm.edu.my/id/eprint/109443/ http://psasir.upm.edu.my/id/eprint/109443/ http://psasir.upm.edu.my/id/eprint/109443/ http://psasir.upm.edu.my/id/eprint/109443/1/jmp-04-00004.pdf |