LRP1B mutation is associated with tumor HPV status and promotes poor disease outcomes with a higher mutation count in HPV-related cervical carcinoma and head & neck squamous cell carcinoma

• Published in: International journal of biological sciences 2021-01, Vol.17 (7), p.1744-1756
• Main Authors: Cao, Can-Hui, Liu, Rang, Lin, Xin-Ran, Luo, Jia-Qi, Cao, Li-Juan, Zhang, Qiu-Ju, Lin, Shou-Ren, Geng, Lan, Sun, Zhong-Yi, Ye, Si-Kang, Yu, Zhi-Ying, Shi, Yu, Xia, Xi
• Format: Article
• Language: English
• Subjects: 1-Phosphatidylinositol 3-kinase; Aneuploidy; Biomarkers; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Cancer; Cell culture; Cell division; Cervical cancer; Cervical carcinoma; Cervix; Chromosomes; Cluster analysis; Clustering; Copy number; Datasets; DNA Copy Number Variations; DNA Mutational Analysis; DNA, Neoplasm - genetics; DNA, Neoplasm - metabolism; Female; Fractions; Gene expression; Gene Expression Profiling; Genomes; Head and neck carcinoma; Head and Neck Neoplasms - genetics; Head and Neck Neoplasms - metabolism; Head and Neck Neoplasms - pathology; Human papillomavirus; Humans; Infections; Lung cancer; Melanoma; Middle Aged; Mutation; p53 Protein; Papillomaviridae; Papillomavirus Infections - genetics; Papillomavirus Infections - metabolism; Papillomavirus Infections - pathology; Prostate cancer; Receptors, LDL - genetics; Receptors, LDL - metabolism; Research Paper; Rewiring; Segregation process; Squamous cell carcinoma; Squamous Cell Carcinoma of Head and Neck - genetics; Squamous Cell Carcinoma of Head and Neck - metabolism; Squamous Cell Carcinoma of Head and Neck - pathology; Survival; Survival analysis; Tumors; Uterine Cervical Neoplasms - genetics; Uterine Cervical Neoplasms - metabolism; Uterine Cervical Neoplasms - pathology
• ISSN: 1449-2288; 1449-2288
• DOI: 10.7150/ijbs.56970

Human papillomavirus (HPV) infection and gene mutations were reputed as key factors in cervical carcinoma (CC) and head and neck squamous cell carcinoma (HNSCC). However, the associations of HPV status and gene mutations remain to be determined. This study aims to identify molecular patterns of mutation and HPV status via rewiring tumor samples of HNSCC (n=1478) and CC (n=178) from the TCGA dataset. Here, we found that mutation was associated with HPV status in CC ( =0.040) and HNSCC ( =0.044), especially in HPV 16 integrated CC ( =0.036). Cancer survival analysis demonstrated that samples with mutation showed poor disease outcomes in CC ( =0.013) and HNSCC ( =0.0124). In addition, the expression status of was more favorable for prediction than or in CC and HNSCC. Mutation clustering analysis showed that samples with mutation showed higher mutation count in CC ( =1.76e-67) and HNSCC (