Human Papillomavirus Oral- and Sero- Positivity in Fanconi Anemia

Sauter, Sharon; Zhang, Xue; Romick-Rosendale, Lindsey E.; Wells, Susanne I.; Myers, Kasiani C.; Brusadelli, Marion G.; Poff, Charles; Brown, Darron R.; Panicker, Gitika; Unger, Elizabeth R.; Mehta, Parinda A.; Bleesing, Jack J.; Davies, Stella M.; Kovacic, Melinda Butsch

doi:10.3390/cancers13061368

Cited by 7 publications

(1 citation statement)

References 37 publications

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“…FARG was shown to be differentially expressed and tended to concentrate on similar functional pathways in various cancers ( Figures 1B,K ). FARGs play an important role in DNA repair, as well as in protecting the human genome during genome integration of viruses such as HPV ( Ruiz-Torres et al, 2021 ; Sauter et al, 2021 ). Based on this information, we found that some sites in FARGs were HPV integration hot-spots, and expression of FARGs was moderately or strongly correlated with the expression of the genes where the integration hot-spots were located.…”

Section: Discussionmentioning

confidence: 99%

Fanconi Anemia Pathway Genes Advance Cervical Cancer via Immune Regulation and Cell Adhesion

Wang

Ding

Cui

et al. 2021

Front. Cell Dev. Biol.

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Fanconi anemia (FA) pathway is a typical and multienzyme-regulated DNA damage repairer that influences the occurrence and development of disease including cancers. Few comprehensive analyses were reported about the role of FA-related genes (FARGs) and their prognostic values in cancers. In this study, a comprehensive pan-cancer analysis on 79 FARGs was performed. According to the correlation analyses between HPV integration sites and FARGs, we found that FARGs played specific and critical roles in HPV-related cancers, especially in cervical cancer (CC). Based on this, a FARGs-associated prognostic risk score (FPS) model was constructed, and subsequently a nomogram model containing the FPS was developed with a good accuracy for CC overall survival (OS) and recurrence-free survival (RFS) outcome prediction. We also used the similar expression pattern of FARGs by consensus clustering analysis to separate the patients into three subgroups that exhibited significant differential OS but not RFS. Moreover, differential expressed genes (DEGs) between the two risk groups or three clusters were identified and immune pathways as well as cell adhesion processes were determined by functional enrichment analysis. Results indicated that FARGs might promote occurrence and development of CC by regulating the immune cells’ infiltration and cell adhesion. In addition, through the machine learning models containing decision tree, random forest, naïve bayes, and support vector machine models, screening of important variables on CC prognosis, we finally determined that ZBTB32 and CENPS were the main elements affecting CC OS, while PALB2 and BRCA2 were for RFS. Kaplan-Meier analysis revealed that bivariate prediction of CC outcome was reliable. Our study systematically analyzed the prognostic prediction values of FARGs and demonstrated their potential mechanism in CC aggressiveness. Results provided perspective in FA pathway-associated modification and theoretical basis for CC clinical treatments.

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Section: Discussionmentioning

confidence: 99%

Fanconi Anemia Pathway Genes Advance Cervical Cancer via Immune Regulation and Cell Adhesion

Wang

Ding

Cui

et al. 2021

Front. Cell Dev. Biol.

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Viral Infections

Harwood,

Sterling

2024

Rook's Textbook of Dermatology

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Viruses can cause disease in the skin or mucosa by direct infection or, via a systemic infection, produce secondary skin abnormalities. The chapter reviews the viruses associated with skin lesions, outlining the pathophysiology, the clinical features, diagnostic methods and the approaches to treatment. Primary skin infection following direct contact occurs with poxviruses, some herpesviruses and papillomaviruses leading to visible features which may be readily diagnostic. Less specific skin changes are seen with systemic infections, when infection is often via mucosae or inoculation, for example with parvovirus, measles or coronavirus and for these infections, diagnosis will usually involve body fluid analysis.

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