Clinical trial · Observational
Association of SNPs in Long Intergenic Noncoding RNA 00511 (LINC00511) With Breast Cancer Among the Egyptian Population
Studying the Association of Genetic Variations in Long Intergenic Noncoding RNA 00511 (LINC00511) With Breast Cancer Among the Egyptian Population
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Long non-coding RNAs (lncRNAs) play an important role in different types of cancer, including breast cancer, through regulation of gene expression and epigenetic signatures. Genetic variations such as single nucleotide polymorphisms (SNPs) in lncRNAs have been found to be associated with cancer. Our aim was to provide information about the role of LINC00511 SNPs (rs11657109 or rs17780195 or rs9906859, rs4432291 and rs1558535) in breast cancer susceptibility in the Egyptian population.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (2)
- label
- Breast cancer Cases
- description
- Histopathologically confirmed primary female breast cancer patients with age group (20-70 years)
- label
- Controls
- description
- Healthy female volunteers not suffering from any disease
Primary outcomes (1)
- measure
- Investigating the relationship of the genotypes of each SNP of the LINC00511 SNPs (rs11657109 or rs17780195 or rs9906859 or rs4432291 and rs1558535) with either increased or decreased risk of breast cancer or no effect in the Egyptian population
- timeFrame
- two years
- description
- By using Taqman SNP genotyping assay
Secondary outcomes (6)
- measure
- Finding out the association between LINC00511 SNPs (rs11657109 or rs17780195 or rs9906859 or rs4432291 and rs1558535) and Estrogen receptor
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 20 Years
- Maximum age
- 70 Years
Show eligibility criteria text
Inclusion Criteria: * Histopathologically confirmed primary BC patients * Age group (Adult female BC patients 20-70 years) Exclusion Criteria: * Patients suffering from any cancer other than BC * Females of age less than 20 or more than 70 * Patients with incomplete histopathology diagnosis
References
Publications (17)
- BACKGROUNDThorat MA, Balasubramanian R. Breast cancer prevention in high-risk women. Best Pract Res Clin Obstet Gynaecol. 2020 May;65:18-31. doi: 10.1016/j.bpobgyn.2019.11.006. Epub 2019 Nov 21. PMID 31862315
- BACKGROUNDWu B, Yuan Y, Han X, Wang Q, Shang H, Liang X, Jing H, Cheng W. Structure of LINC00511-siRNA-conjugated nanobubbles and improvement of cisplatin sensitivity on triple negative breast cancer. FASEB J. 2020 Jul;34(7):9713-9726. doi: 10.1096/fj.202000481R. Epub 2020 Jun 4. PMID 32497336
- BACKGROUNDManzour AF, Gamal Eldin DA. Awareness about breast cancer and mammogram among women attending outpatient clinics, Ain Shams University Hospitals, Egypt. J Egypt Public Health Assoc. 2019 Dec 4;94(1):26. doi: 10.1186/s42506-019-0026-5. PMID 32813088
- BACKGROUNDEliyatkin N, Yalcin E, Zengel B, Aktas S, Vardar E. Molecular Classification of Breast Carcinoma: From Traditional, Old-Fashioned Way to A New Age, and A New Way. J Breast Health. 2015 Apr 1;11(2):59-66. doi: 10.5152/tjbh.2015.1669. eCollection 2015 Apr. PMID 28331693
- BACKGROUNDPark JH, Ahn JH, Kim SB. How shall we treat early triple-negative breast cancer (TNBC): from the current standard to upcoming immuno-molecular strategies. ESMO Open. 2018 May 3;3(Suppl 1):e000357. doi: 10.1136/esmoopen-2018-000357. eCollection 2018. PMID 29765774
- BACKGROUNDSun YS, Zhao Z, Yang ZN, Xu F, Lu HJ, Zhu ZY, Shi W, Jiang J, Yao PP, Zhu HP. Risk Factors and Preventions of Breast Cancer. Int J Biol Sci. 2017 Nov 1;13(11):1387-1397. doi: 10.7150/ijbs.21635. eCollection 2017. PMID 29209143
- BACKGROUNDHe Y, Liu H, Chen Q, Shao Y, Luo S. Relationships between SNPs and prognosis of breast cancer and pathogenic mechanism. Mol Genet Genomic Med. 2019 Sep;7(9):e871. doi: 10.1002/mgg3.871. Epub 2019 Jul 17.