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Updated: Jun 27, 2026

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
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Genetic Alteration Profiling in North Macedonian Lung Cancer Patients.
Aleksandar Eftimov1, Rubens Jovanovic1, Slavica Kostadinova Kunovska1
1Institute of Pathology, Faculty of Medicine, Ss. Cyril and Methodius University, 1000 Skopje, North Macedonia.
Genes
|October 29, 2025
Summary
This study analyzed genetic alterations in 603 lung cancer patients, finding 36.65% had at least one mutation. Comprehensive gene testing is crucial for effective lung cancer treatment and patient prognosis.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Lung cancer, including non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC), has a poor prognosis due to late diagnosis and inefficient treatments.
- Developing targeted therapies requires identifying new oncogenes and thoroughly investigating known driver genes.
Purpose of the Study:
- To investigate the prevalence of alterations in eight key lung cancer genes: BRAF, EGFR, KRAS, ALK, ROS1, HER2, PD-L1, and PIK3CA.
Main Methods:
- Utilized real-time polymerase chain reaction (RT-PCR) for KRAS and EGFR mutations.
- Employed multiplex PCR and microarray hybridization for KRAS/BRAF/PIK3CA mutations.
- Conducted immunohistochemical analysis for ALK, HER2/NEU, ROS-1, and PD-L1 alterations.
Main Results:
- 36.65% of 603 patients (221) had at least one genetic alteration; 3.65% had multiple alterations.
- Identified mutations in KRAS (8.29%), EGFR (7.46%), PIK3CA (1.82%), and BRAF (0.66%).
- Detected PD-L1 overexpression (10.45%), ALK rearrangements (5.31%), and HER2/NEU expression (2.36%), with no ROS-1 rearrangements.
Conclusions:
- Comprehensive testing for somatic alterations in EGFR, BRAF, KRAS, and PIK3CA is vital for guiding lung cancer treatment decisions.
- Routine genetic profiling of lung cancers is recommended for efficient and cost-effective patient management.
- Establishing a thorough genetic profile aids in selecting appropriate targeted therapies and improving patient outcomes.

