NF-κB1 intronic region polymorphisms as risk factor for head and neck cancer in HPV-infected population from Pakistan

2021 ◽  
Vol 21 ◽  
Author(s):  
Sumaira Sarwar ◽  
Muammad Usman Tareen ◽  
Maimoona Sabir ◽  
Aneesa Sultan ◽  
Salman A Malik

Background: Head and neck cancer (HNC) developed due to the number of risk factors, including infection of Human Papillomavirus (HPV). The genetic predisposition also plays an important role in deregulating the NF-κB pathway, and certain polymorphisms are reported to affect the pathway genes. Objectives: The present study was conducted for the detection of HPV and polymorphisms in the NF-κB1 gene of HNC patients in the Pakistani population. Methods: Genomic DNA from HNC tumors samples were extracted using the Exgene SV DNA extraction Kit. Allele-specific PCR and direct sequencing were done for analysis of NF-κB1 SNPs, 94ins/del (rs28362491), rs1598858, and rs4648068. Results: The genotypes AG (36.2%/ 12%) of rs1598858, and AG (28.3%/ 12%) and GG (28.3%/ 22%) of rs4648068 were associated with significantly (p≤0.05) increased risk of head and neck cancer in studied population. Furthermore, among the HNC cases, genotypes AGrs1598858 (p≤0.014) and GGrs4648068 (p≤0.001) had increased risk of HPV related cancers. Tobacco use (OR-3.158442; [1.140, 8.754]), lymph nodes involvement (OR 4.05128; [1.854, 8.852]), and poorly differentiated tumors (OR 1.997155; [0.940, 4.245]) were positively associated with HPV induced cancers. Conclusion: It was the first comprehensive study from Pakistan, to evaluate the polymorphic variants of NF-κB1. Genotypes AGrs4648068, GGrs4648068, and AGrs1598858 of NF-κB1 gene are associated with increased risk of head and neck cancers in the Pakistani population. It can be concluded that HPV infection, lymph nodes and tobacco use can act synergetic to each other and add up in modulating HNC when present together with intronic SNPs of NF-κB1 gene.

2013 ◽  
Vol 28 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Maimoona Sabir ◽  
Ruqia Mehmood Baig ◽  
Ishrat Mahjabeen ◽  
Mahmood Akhtar Kayani

Cyclin D1 plays a key role in cell cycle control, particularly in the transition from G1 to S phase, regulated by cyclin-dependent kinases. The objective of the present study was to screen the cyclin D1 gene (CCND1) for polymorphisms in patients with head and neck cancer (HNC). Genomic DNA was isolated from blood samples of 380 HNC patients and 350 controls. In a hospital-based case-control study using the PCR-SSCP technique we found 3 novel germline mutations: g3578C>A, g3475G>C and g3383delA. The commonly reported guanine to adenine polymorphisms in exon 4 g7656G>A (rs9344) and g10861C>A (rs7177) in 3′UTR of CCND1 were also observed. The calculated frequencies of the g7656G>A (rs9344) polymorphism in GG, GA and AA genotypes were 27.3%, 38.6%, and 33.9% in HNC cases, and 44.2%, 29.4%, and 26.2% in normal healthy controls, respectively. Adjusted by age (in years), sex and smoking status, multivariate logistic regression analysis showed that the AA and GA genotypes were associated with a significantly increased risk (OR 1.34, 95% CI 1.03-1.64, p=0.028) for HNC. The CCND1 AA genotype variant was associated with an increased risk in individuals who were <40 years old (OR 1.45, 95% CI 1.02-2.08, p=0.04). In conclusion, it is suggested that the CCND1 G/A polymorphism is associated with the early onset of HNC and may contribute to HNC susceptibility in a Pakistani population.


Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1910
Author(s):  
Kaley Woods ◽  
Robert K. Chin ◽  
Kiri A. Cook ◽  
Ke Sheng ◽  
Amar U. Kishan ◽  
...  

This study evaluates the potential for tumor dose escalation in recurrent head and neck cancer (rHNC) patients with automated non-coplanar volumetric modulated arc therapy (VMAT) stereotactic body radiation therapy (SBRT) planning (HyperArc). Twenty rHNC patients are planned with conventional VMAT SBRT to 40 Gy while minimizing organ-at-risk (OAR) doses. They are then re-planned with the HyperArc technique to match these minimal OAR doses while escalating the target dose as high as possible. Then, we compare the dosimetry, tumor control probability (TCP), and normal tissue complication probability (NTCP) for the two plan types. Our results show that the HyperArc technique significantly increases the mean planning target volume (PTV) and gross tumor volume (GTV) doses by 10.8 ± 4.4 Gy (25%) and 11.5 ± 5.1 Gy (26%) on average, respectively. There are no clinically significant differences in OAR doses, with maximum dose differences of <2 Gy on average. The average TCP is 23% (± 21%) higher for HyperArc than conventional plans, with no significant differences in NTCP for the brainstem, cord, mandible, or larynx. HyperArc can achieve significant tumor dose escalation while maintaining minimal OAR doses in the head and neck—potentially enabling improved local control for rHNC SBRT patients without increased risk of treatment-related toxicities.


2021 ◽  
pp. 238008442110003
Author(s):  
T.M. Nguyen ◽  
U. Tonmukayakul ◽  
H. Calache

The coronavirus disease 2019 (COVID-19) has disrupted essential oral healthcare in Australia. Sources for COVID-19 transmission via dental settings is considered to have high potential due to the production of aerosols and because transmission can occur through the airborne route. However, COVID-19 cases in dentistry is reportedly low. Delayed timely dental care, where severe oral diseases remain undetected, untreated, or asymptomatic such as advanced dental caries, periodontitis, and head and neck cancer, can have detrimental consequences for individuals at increased risk for oral diseases. The dental profession should remain vigilant and advocate for the continuation of essential oral healthcare even in times of uncertainty. Knowledge Transfer Statement: The reportedly low COVID-19 transmission occurring in dental settings highlight achievements made by the dental profession. There are valid reasons to reconsider risk-based essential oral healthcare during the COVID-19 pandemic.


Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 3092
Author(s):  
Ekaterina Pylaeva ◽  
Irem Ozel ◽  
Anthony Squire ◽  
Ilona Spyra ◽  
Charlotte Wallner ◽  
...  

The role of neutrophils during cancer formation and elimination is diverse. Here, for the first time, we investigate neutrophil helper cells (NBH), their influence on B cell activity in the regional lymph nodes (RLN) of head-and-neck cancer patients and the effect of this neutrophil/B cell interaction on patient prognosis. Circulating and RLN neutrophils of patients with stage I–IV head-and-neck squamous cell carcinoma were investigated with flow cytometry and qPCR. In addition, neutrophil/B cell co-localization in RLNs was evaluated using immunohistochemistry. B cell proliferation was assessed and correlated with the distance to neutrophils. Patient survival was evaluated. Neutrophils with the helper cell phenotype were identified in the RLN of HNC patients. B cells in close proximity to such NBH showed significantly higher proliferation rates, together with elevated activation-induced cytidine deaminase (AID) expression. Notably, patient survival was significantly higher in individuals with high NBH frequencies in the B follicles of RLNs. Neutrophils in RLN can support T cell-independent activation of the adaptive immune system through B cell stimulation, capturing helper cell phenotype character. The presence of such helper neutrophils in the RLNs of HNC patients positively correlates with patient prognosis.


2013 ◽  
Vol 116 (4) ◽  
pp. 474-484 ◽  
Author(s):  
Patrizia Morbini ◽  
Barbara Dal Bello ◽  
Paola Alberizzi ◽  
Laura Mannarini ◽  
Niccolò Mevio ◽  
...  

2017 ◽  
Vol 5 (2) ◽  
pp. 127-132
Author(s):  
Palla Madhuri ◽  
◽  
C. Sanjeeva Kumari ◽  

2020 ◽  
Vol 6 (1) ◽  
pp. FSO433 ◽  
Author(s):  
William T Tran ◽  
Harini Suraweera ◽  
Karina Quaioit ◽  
Daniel Cardenas ◽  
Kai X Leong ◽  
...  

Aim: We aimed to identify quantitative ultrasound (QUS)-radiomic markers to predict radiotherapy response in metastatic lymph nodes of head and neck cancer. Materials & methods: Node-positive head and neck cancer patients underwent pretreatment QUS imaging of their metastatic lymph nodes. Imaging features were extracted using the QUS spectral form, and second-order texture parameters. Machine-learning classifiers were used for predictive modeling, which included a logistic regression, naive Bayes, and k-nearest neighbor classifiers. Results: There was a statistically significant difference in the pretreatment QUS-radiomic parameters between radiological complete responders versus partial responders (p < 0.05). The univariable model that demonstrated the greatest classification accuracy included: spectral intercept (SI)-contrast (area under the curve = 0.741). Multivariable models were also computed and showed that the SI-contrast + SI-homogeneity demonstrated an area under the curve = 0.870. The three-feature model demonstrated that the spectral slope-correlation + SI-contrast + SI-homogeneity-predicted response with accuracy of 87.5%. Conclusion: Multivariable QUS-radiomic features of metastatic lymph nodes can predict treatment response a priori.


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