Abstract 4061
Background
Lung cancer is a leading cause of cancer-related deaths. Knowledge is evolving regarding cancer driver genes. In Egypt, very limited data exist about cancer driver genes for non-small cell lung cancer. EGFR mutation testing was initiated in Egypt through a collaboration between Colors lab and AstraZeneca. Data collection was planned to detect the prevalence of EGFR and determine consequent medical decisions. In this real-world evidence context, we tried to sketch out the Egyptian EGFR gene mutations and correlatie them to patient demographics regarding gender, age, smoking history and pathological sub-types.
Methods
A total of 2017 formalin-fixed, paraffin-embedded (FFPE) tumors from patients diagnosed with non-small cell lung cancer were tested for EGFR mutation during the period between 2016 & 2018, following all aspects of GLP procedures including human rights, legal regulatory requirements, and AstraZeneca’s policy on bioethics. Patients were consented to collect their demographic and clinico-pathological data anonymously. DNA extraction was carried out using QIAamp DNA FFPE Tissue Kit. Extracted samples were tested by use of Therascreen EGFR RGQ PCR Kit on Rotorgene®, Qiagen.
Results
A total of 353 (17.5%) out of 2017 tested samples were positive for EGFR mutations. Mutations subtypes were detected in EGFR mutations presenting 151 (42.78%) for ex19 del, 106 (30.0%) for L858R point mutation, 39 (11.05%) for T790M mutations, 12 (3.4%) for insertions in exon 20, 8 (2.27%) for L861Q mutation, 8 (2.27%) for S768I mutation and 29 (8.22%) for other mutations. The older the patient age showed higher significance in prevalence rate (P < 0.001) than in younger age. EGFR prevalence was numerically (NS) higher among females than males. Both current and formerly smoking patients showed highly significant (P < 0.001) mutation frequencies compared with non-smokers. Adenocarcinoma showed a frequency of 55.8% with higher significance than other pathological cell types.
Conclusions
This is the first and largest study on EGFR mutation prevalence among Egyptian patients showing a slightly higher percentage than in European patients. Age, smoking status and pathological reports define significant impact on EGFR mutation pattern in Egyptian patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
AstraZeneca Egypt.
Funding
AstraZeneca Egypt.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract
5678 - Nanomaterials Augmented LDI-TOF-MS for Hepatocellular Carcinoma Diagnosis and Classification
Presenter: Jian Zhou
Session: Poster Display session 3
Resources:
Abstract