Abstract 2512: BRCA1 and BRCA2 mutations and its clinical relevance among egyptian breast cancer women
Bibliographic record
Abstract
Abstract Introduction: Breast cancer (BC) is a multifactorial disease, that is attributed to non-familial factors such as environmental or genetic factors that play a vital role in the development of the disease. BRCA1/2 mutations represent a high risk of breast cancer. The current study focused on exploring the relationship between the presence of BRCA1/2 mutations and some clinicopathological characteristics which might impact the pathogenesis of BC disease. Material and Methods: Genomic DNA samples were obtained from 19 fresh tissues using Gene JET Extraction Kit (Thermo Scientific/US, Canada), and 29 FFPE using QIAamp DNA FFPE Tissue Kit (Qiagen, Valencia, USA) obtained from pretreatment BC patients. Library preparation was performed using Devyser BRCA NGS kit (DEVYSER, Stockholm, Sweden), according to the manufacturer's instructions. The reagent kit V2, 500 Cycles PE, on the Illumina MiSeq System (Illumina, San Diego, CA, USA). The BRCA1 and BRCA2 genes reference were: NM_007300 and NM_000059, respectively. Variants were called using freebayes (1.1.0.46) and annotated using ANNOVAR(version2019Oct24). All samples were subjected for detection of Human Mammary Tumor Virus (HMTV) and Human Papillomavirus (HPV) DNAs using qualitative PCR assay. Result: The study identified 40 and 54 different BRCA1 and BRCA2 mutations, mostly in the form of frameshift and stop codon mutations. Regarding, BRCA1, 14 pathogenic mutations were detected, exon10 and exon 9 showed to be the most affected exons representing (c.C1612T (25%) and c.C1471T(22.9%), respectively. For BRCA2, only five pathogenic mutations were identified, exon 11 and exon 14 showed to be the most affected exons (cT4001A(6.25%) and c.7231delA(4.16%), respectively. Regarding relation between BRCA1/2 genes mutations and clinicopathological parameters, BRCA1 and BRCA2 carriers were younger than non-carriers though not significant (p=0.440). Regarding the tumor characteristics, BRCA1/2 carriers had large tumor size (p=0.091), high tumor grade compared to non-carriers but without significance (P=0.098). Micro-classifications positivity (60%) was also more frequently among BRCA1/2 carrier than non-carrier (p= 0.082). Regarding detection of HMTV and HPV, BRCA1/2 mutation carriers has a skew towards negative results (P=<0.001 and 0.004, respectively). Conclusion: Our data suggest that BRCA1/2 mutations might contribute to the pathogenesis among both familial and non-familial Egyptian breast cancer patients, but we need more sample size to confirm the findings. It also identifies the most affected exons in preparation for establishing a diagnostic tool like HRM for genetic counseling, which will help when selecting treatment modalities for BC patients. STDF Acknowledgment: This project was supported financially by the Science and Technology Development Fund (STDF), Egypt, Grant No.22944 Citation Format: Samah A. Loutfy, Nasra F. Abdel Fattah, Ahmed B. Barakat, Omar R. Alfarouk, Tarek M. Hashem, Ahmed M. Osman, Shimaa A. Metwally, Maha A. Abo-Shadi, Amany M. Helal, Shaza A. Habib, Ahmed A. El Sherif, Abdel Wahab El Ghareeb, Mohamed M. Mouneer, Manar M. Moneer, Marwa A. Abdel-Wahed, Mona A. Salem, Asmaa M. M. M. Salama, Fatma S. Hafez, Sara H. Agwa, Hesham Elghazaly, Manal M. El-Mahdy, Mark J. Dunning, Sherif F. El-Khamisy. BRCA1 and BRCA2 mutations and its clinical relevance among egyptian breast cancer women [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2512.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".