Malignant and Nonmalignant Gene Signatures in Squamous Head and Neck Cancer

Genetic events specific to the pathogenesis of malignancy can offer clues to the tumorigenesis process. The objective of this study was to identify gene alterations that differentiate tumor and nontumor lesions in squamous head and neck cancer (HNSCC). DNA from 220 primary HNSCC with concurrently present tumor and nontumor lesions from the same patient was interrogated for genomic alterations of loss or gain of copy. Conditional logistic regression dealt with tumor and non-tumor records within a patient. Of 113 genes, 53 had univariate effects (P<0.01), of which 16 genes remained in the multivariable model withP<0.01. The model had a C-index (ROC) of 0.93. Loss ofCDKN2Band gain ofBCL6, FGF3, andPTP4A3predicted tumor. Loss ofBAK1andCCND1and gain ofSTCHpredicted nontumor. This highly powered model assigned alterations in 16 genes specific for malignant versus nonmalignant lesions, supporting their contribution to the pathogenesis of HNSCC as well as their potential utility as relevant targets for further evaluation as markers of early detection and progression.

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Effects of in IL-1B/IL-1RN variants on the susceptibility to head and neck cancer in a chinese Han population

Cancer Cell International ◽

10.1186/s12935-021-01750-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Yanhai Yin ◽

Fen Li ◽

Liangqian Tong ◽

Chunru Chen ◽

Bo Yuan

Keyword(s):

Logistic Regression ◽

Head And Neck Cancer ◽

Head And Neck ◽

Genetic Association ◽

Neck Cancer ◽

Chinese Han Population ◽

Nucleotide Polymorphisms ◽

Chinese Han ◽

Han Population ◽

Logistic Regression Models

Abstract Background The study aimed to evaluate the relationship of IL-1B/IL-1RN polymorphisms to the predisposition of head and neck cancer (HNC) in a Chinese Han population. Methods Nine single-nucleotide polymorphisms (SNPs) in IL-1B/IL-1RN were genotyped based on Agena MassARRAY platform. Logistic regression models were used to analyze the genetic association between these SNPs and HNC risk by calculating odds ratios (ORs) and 95% confidence intervals (CI). Haplotype analysis were performed using Haploview program and logistic regression model. Results The genetic association between rs1143643 in IL-1B and the higher risk of HNC was found (OR = 1.23, 95% CI 1.04–1.46) in the overall. IL-1RN rs17042888 was related to a reduced risk of HNC in the subjects aged > 46 years (OR = 0.70, 95% CI: 0.50–0.98) and in females (OR = 0.71, 95% CI 0.52–0.98), while rs1143643 increased the predisposition of HNC among females (OR = 1.76, 95% CI 1.13–2.74). Furthermore, rs1143643 had an increased susceptibility to thyroid carcinoma (OR = 1.61, 95% CI 1.10–2.34). Moreover, compared with stage I–II, the frequency of IL-1RN rs452204-AG genotype was lower in patients with stage III–IV. Conclusions IL-1B (rs1143643) and IL-1RN (rs17042888 and rs452204) polymorphisms might be related to the individual susceptibility of HNC in the Chinese Han population. These results might help to improve the understanding of IL-1B and IL-1RN genes in the occurrence of HNC.

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