Identifying 8-mRNAsi Based Signature for Predicting Survival in Patients With Head and Neck Squamous Cell Carcinoma via Machine Learning
FRONTIERS IN GENETICS
Authors: Tian, Yuxi; Wang, Juncheng; Qin, Chao; Zhu, Gangcai; Chen, Xuan; Chen, Zhixiang; Qin, Yuexiang; Wei, Ming; Li, Zhexuan; Zhang, Xin; Lv, Yunxia; Cai, Gengming
Cancer stem cells (CSCs) have been characterized by several exclusive features that include differentiation, self-renew, and homeostatic control, which allows tumor maintenance and spread. Recurrence and therapeutic resistance of head and neck squamous cell carcinomas (HNSCC) have been identified to be attributed to CSCs. However, the biomarkers led to the development of HNSCC stem cells remain less defined. In this study, we quantified cancer stemness by mRNA expression-based stemness index (mRNAsi), and found that mRNAsi indices were higher in HNSCC tissues than that in normal tissue. A significantly higher mRNAsi was observed in HPV positive patients than HPV negative patients, as well as in male patients than in female patients. The 8-mRNAsi signature was identified from the genes in two modules which were mostly related to mRNAsi screened by weighted gene co-expression network analysis. In this prognostic signatures, high expression of RGS16, LYVE1, hnRNPC, ANP32A, and AIMP1 focus in promoting cell proliferation and tumor progression. While ZNF66, PIK3R3, and MAP2K7 are associated with a low risk of death. The riskscore of eight signatures have a powerful capacity for 1-, 3-, 5-year of overall survival prediction (5-year AUC 0.77, 95% CI 0.69-0.85). These findings based on stemness indices may provide a novel understanding of target therapy for suppressing HNSCC stem cells.
Co-infection between genotypes of the human papillomavirus andChlamydia trachomatisin Mexican women
INTERNATIONAL JOURNAL OF STD & AIDS
Authors: Escarcega-Tame, Marco A.; Lopez-Hurtado, Marcela; Escobedo-Guerra, Marcos R.; Reyes-Maldonado, Elba; Castro-Escarpulli, Graciela; Guerra-Infante, Fernando M.
Not all human papillomavirus (HPV) infections develop into cervical cancer (CC), so it is proposed that other factors may influence this, such as co-infection withChlamydia trachomatis(CT). To identify the prevalence of co-infection, we included 189 women with suspicion of HPV. Viral typing was performed by carrying out the Roche HP Linear Array test, while CT detection was performed with the COBAS (R) TaqMan (R) 48 kit from Roche. Of the 189 women only 184 had an infection with HPV, CT or both: 56.6% were positive for one or several HPV genotypes, and 67.7% for CT. Clinical data showed an association between HPV and CIN I (n = 22; RR = 2.43; 95% CI 1.72-3.43, p < 0.05). CT infection was only associated with cervicitis (n = 40; RR = 1.73; 95% CI 1.34-2.23, p < 0.05). The CT-HPV co-infection rate was 28%. Co-infection revealed an association with CIN I (n = 31, RR= 3.33; 95% CI 2.08-5.34 p < 0.05), CIN III (n = 7; RR = 2.57; 95% CI 1.53-4.31, p < 0.05); and a significant risk of 2.3 (95% CI 1.08-4.90) times higher to develop CC; nevertheless, this risk was not statistically significant. CT/HPV co-infection was associated with the development of a high-grade lesion (CIN III) as well as an important risk for developing CC.