Network modeling suggests HIV infection phenocopies PI3K-AKT pathway mutations to enhance HPV-associated cervical cancer†

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular omics Pub Date : 2023-05-19 DOI:10.1039/D3MO00025G
Charles Ochieng’ Olwal, Jacqueline M Fabius, Lorena Zuliani-Alvarez, Manon Eckhardt, George Boateng Kyei, Peter Kojo Quashie, Nevan J Krogan, Mehdi Bouhaddou and Yaw Bediako
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引用次数: 0

Abstract

Women coinfected with human immunodeficiency virus type 1 (HIV-1) and human papillomavirus (HPV) are six times as likely to develop invasive cervical carcinoma compared to those without HIV. Unlike other HIV-associated cancers, the risk of cervical cancer development does not change when HPV/HIV coinfected women begin antiretroviral therapy, suggesting HIV-associated immune suppression is not a key driver of cervical cancer development in coinfected women. Here, we investigated whether the persistent secretion of inflammatory factors in HIV-positive patients on antiretroviral therapy could enhance cancer signaling in HPV-infected cervical cells via endocrine mechanisms. We integrated previously reported HIV-induced secreted inflammatory factors (Hi-SIFs), HIV and HPV virus–human protein interactions, and cervical cancer patient genomic data using network propagation to understand the pathways underlying disease development in HPV/HIV coinfection. Our results pinpointed the PI3K-AKT signaling pathway to be enriched at the interface between Hi-SIFs and HPV–host molecular networks, in alignment with PI3K pathway mutations being prominent drivers of HPV-associated, but HIV independent, cervical cancer development. Furthermore, we experimentally stimulated cervical cells with 14 Hi-SIFs to assess their ability to activate PI3K-AKT signaling. Strikingly, we found 8 factors (CD14, CXCL11, CXCL9, CXCL13, CXCL17, AHSG, CCL18, and MMP-1) to significantly upregulate AKT phosphorylation (pAKT-S473) relative to a phosphate buffered saline control. Our findings suggest that Hi-SIFs cooperate with HPV infection in cervical cells to over-activate PI3K-AKT signaling, effectively phenocopying PI3K-AKT pathway mutations, resulting in enhanced cervical cancer development in coinfected women. Our insights could support the design of therapeutic interventions targeting the PI3K-AKT pathway or neutralizing Hi-SIFs in HPV/HIV coinfected cervical cancer patients.

Abstract Image

网络模型表明,HIV感染表型复制PI3K-AKT途径突变可增强HPV相关的宫颈癌症。
与未感染艾滋病毒的女性相比,同时感染人类免疫缺陷病毒1型(HIV-1)和人乳头瘤病毒(HPV)的女性患侵袭性宫颈癌的可能性是前者的六倍。与其他艾滋病毒相关癌症不同,当HPV/HIV共同感染的女性开始抗逆转录病毒治疗时,宫颈癌症发展的风险不会改变,这表明艾滋病毒相关免疫抑制不是共同感染女性宫颈癌症发展的关键驱动因素。在此,我们研究了接受抗逆转录病毒治疗的HIV-阳性患者持续分泌炎症因子是否可以通过内分泌机制增强感染HPV的宫颈细胞中的癌症信号。我们整合了先前报道的HIV-诱导的分泌性炎症因子(Hi-SIF)、HIV和HPV病毒-人蛋白相互作用以及宫颈癌症患者基因组数据,使用网络传播来了解HPV/HIV共同感染中潜在的疾病发展途径。我们的研究结果表明,PI3K-AKT信号通路在Hi-SIF和HPV-宿主分子网络之间的界面富集,与PI3K通路突变一致,PI3K途径突变是HPV-相关但与HIV无关的宫颈癌症发展的主要驱动因素。此外,我们通过实验用14个Hi-SIF刺激宫颈细胞,以评估其激活PI3K-AKT信号的能力。引人注目的是,我们发现8个因子(CD14、CXCL11、CXCL9、CXCL13、CXCL17、AHSG、CCL18和MMP-1)相对于磷酸盐缓冲盐水对照显著上调AKT磷酸化(pAKT-S473)。我们的研究结果表明,Hi-SIF与宫颈细胞中的HPV感染协同作用,过度激活PI3K-AKT信号,有效地表型复制了PI3K-AKT途径突变,导致共感染女性的宫颈癌症发展增强。我们的见解可以支持在HPV/HIV共感染的癌症宫颈癌患者中设计针对PI3K-AKT途径或中和Hi-SIF的治疗干预措施。
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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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