D-Loop Region Variability in Ovarian Cancer Among Senegalese Patients

Our study aimed to determine the genetic variability of the D-loop region in a Senegalese population with ovarian cancer. This research involved healthy and cancerous tissue samples obtained from Senegalese women diagnosed with ovarian cancer. Extraction of mtDNA from the D-loop region, followed by sequencing, yielded 49 nucleotide sequences. These sequences will be utilized to investigate several parameters of genetic variability: allelic frequencies, nucleotide frequencies, and mutation rates. Additionally, we will explore intra- and inter-individual diversity, assess genetic variability between different tissue types from distinct individuals, and illustrate both intra- and inter-individual haplotypic diversity.

Authors

Publication Details

Journal
Trends in General Medicine
Published
2024-08-31
DOI
https://doi.org/10.33425/2996-3893.1012
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

D-Loop Region Variability in Ovarian Cancer Among Senegalese Patients

Rouguiyatou Ka, Bineta Kénéme, Mbacké SEMBENE, Fatimata Mbaye et al.
Trends in General Medicine
Ovarian cancer diagnosis and treatment
article

D-Loop Region Variability in Ovarian Cancer Among Senegalese Patients

Rouguiyatou Ka, Bineta Kénéme, Mbacké SEMBENE, Fatimata Mbaye, Habib Fall
article en

Abstract

Our study aimed to determine the genetic variability of the D-loop region in a Senegalese population with ovarian cancer. This research involved healthy and cancerous tissue samples obtained from Senegalese women diagnosed with ovarian cancer. Extraction of mtDNA from the D-loop region, followed by sequencing, yielded 49 nucleotide sequences. These sequences will be utilized to investigate several parameters of genetic variability: allelic frequencies, nucleotide frequencies, and mutation rates. Additionally, we will explore intra- and inter-individual diversity, assess genetic variability between different tissue types from distinct individuals, and illustrate both intra- and inter-individual haplotypic diversity.

Trends in General MedicineVol. 2(2)
Openalex Percentile: Top 64%
Ovarian cancer diagnosis and treatment
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