Analysis of the rs1048943 Polymorphism in the CYP1A1 Gene in Patients with Laryngeal Cancer: A Case–Control Study

Background The CYP1A1 Ile462Val (rs1048943 A > G) polymorphism has been associated with susceptibility to several cancers, but its role in laryngeal cancer remains unclear. This study investigated the association between rs1048943 and laryngeal cancer risk in a Sudanese population. Methods A hospital-based case–control study included 49 patients with histologically confirmed laryngeal cancer and 50 healthy controls. Genotyping of rs1048943 was performed using polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP). Associations were evaluated using odds ratios (ORs) and 95% confidence intervals (CIs). Results The mean patient age was 51.2 years, and well-differentiated squamous cell carcinoma was the predominant histopathological subtype. All patients carried the wild-type AA genotype, whereas four controls (8%) had the heterozygous AG genotype. No GG genotype was detected. The rs1048943 polymorphism was not significantly associated with laryngeal cancer risk (OR = 0.10, 95% CI: 0.005–1.99; p = 0.133). Conclusions The CYP1A1 rs1048943 polymorphism was not associated with laryngeal cancer susceptibility in this Sudanese cohort. Larger studies investigating additional CYP1A1 variants and gene–environment interactions are needed to clarify the genetic basis of laryngeal carcinogenesis.

Authors

Institutions

Publication Details

Journal
F1000Research
Published
2026-09-21
DOI
https://doi.org/10.12688/f1000research.28291.2
Primary Topic
Glutathione Transferases and Polymorphisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Analysis of the rs1048943 Polymorphism in the CYP1A1 Gene in Patients with Laryngeal Cancer: A Case–Control Study

Mona Mohammed Hashim Ellaithi, Marwa Abdalwahab
F1000Research
Glutathione Transferases and Polymorphisms
article

Analysis of the rs1048943 Polymorphism in the CYP1A1 Gene in Patients with Laryngeal Cancer: A Case–Control Study

Mona Mohammed Hashim Ellaithi, Marwa Abdalwahab
article en

Abstract

Background The CYP1A1 Ile462Val (rs1048943 A > G) polymorphism has been associated with susceptibility to several cancers, but its role in laryngeal cancer remains unclear. This study investigated the association between rs1048943 and laryngeal cancer risk in a Sudanese population. Methods A hospital-based case–control study included 49 patients with histologically confirmed laryngeal cancer and 50 healthy controls. Genotyping of rs1048943 was performed using polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP). Associations were evaluated using odds ratios (ORs) and 95% confidence intervals (CIs). Results The mean patient age was 51.2 years, and well-differentiated squamous cell carcinoma was the predominant histopathological subtype. All patients carried the wild-type AA genotype, whereas four controls (8%) had the heterozygous AG genotype. No GG genotype was detected. The rs1048943 polymorphism was not significantly associated with laryngeal cancer risk (OR = 0.10, 95% CI: 0.005–1.99; p = 0.133). Conclusions The CYP1A1 rs1048943 polymorphism was not associated with laryngeal cancer susceptibility in this Sudanese cohort. Larger studies investigating additional CYP1A1 variants and gene–environment interactions are needed to clarify the genetic basis of laryngeal carcinogenesis.

F1000ResearchVol. 10
Al-Neelain University (SD)
Good health and well-being
Openalex Percentile: Top 18%
Glutathione Transferases and Polymorphisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.