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Background: Cervical cancer (CC) is the main cause of cancer-related deaths among women in developing countries. It is the second leading female malignancy in Bangladesh in terms of incidence and mortality. Our present study aimed to investigate the association of IL1β (rs16944), IL4R (rs1801275), and IL6 (rs1800797) gene polymorphisms with the susceptibility of cervical cancer.
Materials And Methods: This case-control study was conducted on 252 cervical cancer patients and 228 healthy volunteers, using tetra-primer amplification refractory mutation system-polymerase chain reaction (ARMS-PCR).
Results: In the case of rs16944 polymorphism, GG genotype (OR = 2.10, 95%CI = 1.24-3.56), dominant model (OR = 1.71, 95% CI = 1.11-2.63), recessive model (OR = 1.54, 95% CI = 1.01-2.35), and G allele (OR = 1.30, 95% CI = 1.005-1.68) were significantly associated with increased cervical cancer risk. Among these, GG genotype and dominant model remained significant after the Bonferroni correction (p < 0.017). For rs1801275 polymorphism, GG genotype (OR = 2.66, 95% CI = 1.49-4.75), dominant model (OR = 1.49, 95% CI = 1.04-2.14), recessive model (OR = 2.45, 95% CI = 1.40-4.27), and G allele (OR = 1.59, 95% CI = 1.21-2.10) significantly elevated the risk of cervical cancer but significance did not exist for dominant model after the Bonferroni correction. rs1800797 variant showed significantly increased risk in all genetic models including, AG genotype (OR = 8.13, 95% CI = 5.27-12.55), AA genotype (OR = 9.86, 95% CI = 2.76-35.21), dominant model (OR = 8.25, 95% CI = 5.40-12.60), recessive model (OR = 4.41, 95% CI = 1.25-15.56), and A allele (OR = 4.99, 95% CI = 3.49-7.13) and the significances were consistent with the Bonferroni correction except recessive model. Haplotyping analysis indicates that GAA (p = 5.15x10) and GAG haplotypes (p = 4.72x10) significantly decreased the risk of CC, whereas AAA (p = 3.89x10-9), AAG (p = 0.0003), AGA (p = 3.98x10-5) and AGG haplotypes (p = 0.002) significantly increased the risk of CC. The IL1β mRNA level was up-regulated, which was associated with poor prognosis in silico.
Conclusion: Our results conclude that rs16944 (IL1β), rs1801275 (IL4R), and rs1800797 (IL6) polymorphisms are associated with cervical cancer in Bangladeshi women.
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http://dx.doi.org/10.1016/j.intimp.2020.107131 | DOI Listing |
Cancer Causes Control
September 2025
College of Public Health, Iowa Cancer Registry, Epidemiology Department, University of Iowa, Iowa City, IA, USA.
Purpose: Human papillomavirus (HPV) causes oral and anogenital cancers, the incidence of which is increasing. Late-stage diagnosis is associated with increased mortality. Neighborhood-level characteristics and distance to place of diagnosis may impact timely diagnosis.
View Article and Find Full Text PDFJpn J Clin Oncol
September 2025
International Health Program, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Beitou Dist., Taipei City 112, Taipei, Taiwan.
Objectives: Treatment delay can adversely affect cancer prognosis and public health. However, previous studies have not examined the association between cancer treatment delay and 5-year mortality risk for various cancer types in a single study population.
Methods: We used retrospective cohort data from 21 740 patients diagnosed with common cancers between 2000 and 2017, with mortality follow-up to 2022, from the Philippines' Department of Health-Rizal Cancer Registry to understand how treatment delay of <30, 30-90, or >90 days was associated with 5-year all-cause mortality risk, by cancer type and stage at diagnosis.
Int J Gen Med
September 2025
Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Purpose: The fourth most common cause of cancer-related deaths in women is cervical cancer. Though treatment of early-stage cervical cancer is often effective, middle and advanced stage cervical cancer is hard to treat and prone to recurrence. We sought to explore the mechanism underlying cervical cancer progression to identify new therapeutic approaches.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.