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Abstract：
UNASSIGNED: Cervical cancer remains a prevalent cancer among women, and reliance on surgical and radio-chemical therapies can irreversibly affect patients\' life span and quality of life. Thus, early diagnosis and further exploration into the pathogenesis of cervical cancer are crucial. Mass spectrometry technology is widely applied in clinical practice and can be used to further investigate the protein alterations during the onset of cervical cancer.
UNASSIGNED: Employing labeled-free quantitative proteomics technology and bioinformatics tools, we analyzed and compared the differential protein expression profiles between normal cervical squamous cell tissues and cervical squamous cell cancer tissues. GEPIA is an online website for analyzing the RNA sequencing expression data of tumor and normal tissue data from the TCGA and the GTEx databases. This approach aided in identifying qualitative and quantitative changes in key proteins related to the progression of cervical cancer.
UNASSIGNED: Compared to normal samples, a total of 562 differentially expressed proteins were identified in cervical cancer samples, including 340 up-regulated and 222 down-regulated proteins. Gene ontology functional annotation, and KEGG pathway, and enrichment analysis revealed that the differentially expressed proteins mainly participated in metabolic pathways, spliceosomes, regulation of the actin cytoskeleton, and focal adhesion signaling pathways. Specifically, desmoplakin (DSP), protein phosphatase 1, regulatory (inhibitor) subunit 13 like (PPP1R13L) and ANXA8 may be involved in cervical tumorigenesis by inhibiting apoptotic signal transmission. Moreover, we used GEPIA database to validate the expression of DSP, PPP1R13L and ANXA8 in human cancers and normal cervix.
UNASSIGNED: In this study, we identified 562 differentially expressed proteins, and there were three proteins expressed higher in the cervical cancer tissues. The functions and signaling pathways of these differentially expressed proteins lay a theoretical foundation for elucidating the molecular mechanisms of cervical cancer.
UNASSIGNED: Employing labeled-free quantitative proteomics technology and bioinformatics tools, we analyzed and compared the differential protein expression profiles between normal cervical squamous cell tissues and cervical squamous cell cancer tissues. GEPIA is an online website for analyzing the RNA sequencing expression data of tumor and normal tissue data from the TCGA and the GTEx databases. This approach aided in identifying qualitative and quantitative changes in key proteins related to the progression of cervical cancer.
UNASSIGNED: Compared to normal samples, a total of 562 differentially expressed proteins were identified in cervical cancer samples, including 340 up-regulated and 222 down-regulated proteins. Gene ontology functional annotation, and KEGG pathway, and enrichment analysis revealed that the differentially expressed proteins mainly participated in metabolic pathways, spliceosomes, regulation of the actin cytoskeleton, and focal adhesion signaling pathways. Specifically, desmoplakin (DSP), protein phosphatase 1, regulatory (inhibitor) subunit 13 like (PPP1R13L) and ANXA8 may be involved in cervical tumorigenesis by inhibiting apoptotic signal transmission. Moreover, we used GEPIA database to validate the expression of DSP, PPP1R13L and ANXA8 in human cancers and normal cervix.
UNASSIGNED: In this study, we identified 562 differentially expressed proteins, and there were three proteins expressed higher in the cervical cancer tissues. The functions and signaling pathways of these differentially expressed proteins lay a theoretical foundation for elucidating the molecular mechanisms of cervical cancer.
摘要：
■宫颈癌仍然是女性中普遍存在的癌症，依赖手术和放射化学治疗会不可逆转地影响患者的寿命和生活质量。因此，早期诊断和进一步探索宫颈癌的发病机制至关重要。质谱技术在临床实践中应用广泛,可用于进一步研究宫颈癌发病过程中的蛋白质变化。
■采用无标记定量蛋白质组学技术和生物信息学工具，我们分析并比较了正常宫颈鳞状细胞组织和宫颈鳞状细胞癌组织的差异蛋白表达谱。GEPIA是一个在线网站，用于分析来自TCGA和GTEx数据库的肿瘤和正常组织数据的RNA测序表达数据。这种方法有助于鉴定与宫颈癌进展相关的关键蛋白质的定性和定量变化。
■与正常样本相比，总共在宫颈癌样本中鉴定出562种差异表达蛋白，包括340个上调蛋白和222个下调蛋白。基因本体功能注释，和KEGG通路，和富集分析表明，差异表达的蛋白质主要参与代谢途径，剪接体,肌动蛋白细胞骨架的调节，和局灶性粘附信号通路。具体来说,desmoplakin(DSP),蛋白磷酸酶1，调节（抑制剂）亚基13（PPP1R13L）和ANXA8可能通过抑制凋亡信号传递而参与宫颈肿瘤发生。此外，我们使用GEPIA数据库来验证DSP的表达式，PPP1R13L和ANXA8在人类癌症和正常子宫颈中的作用。
■在这项研究中，我们鉴定了562种差异表达的蛋白质，有三种蛋白在宫颈癌组织中表达较高。这些差异表达蛋白的功能和信号通路为阐明宫颈癌的分子机制奠定了理论基础。
■采用无标记定量蛋白质组学技术和生物信息学工具，我们分析并比较了正常宫颈鳞状细胞组织和宫颈鳞状细胞癌组织的差异蛋白表达谱。GEPIA是一个在线网站，用于分析来自TCGA和GTEx数据库的肿瘤和正常组织数据的RNA测序表达数据。这种方法有助于鉴定与宫颈癌进展相关的关键蛋白质的定性和定量变化。
■与正常样本相比，总共在宫颈癌样本中鉴定出562种差异表达蛋白，包括340个上调蛋白和222个下调蛋白。基因本体功能注释，和KEGG通路，和富集分析表明，差异表达的蛋白质主要参与代谢途径，剪接体,肌动蛋白细胞骨架的调节，和局灶性粘附信号通路。具体来说,desmoplakin(DSP),蛋白磷酸酶1，调节（抑制剂）亚基13（PPP1R13L）和ANXA8可能通过抑制凋亡信号传递而参与宫颈肿瘤发生。此外，我们使用GEPIA数据库来验证DSP的表达式，PPP1R13L和ANXA8在人类癌症和正常子宫颈中的作用。
■在这项研究中，我们鉴定了562种差异表达的蛋白质，有三种蛋白在宫颈癌组织中表达较高。这些差异表达蛋白的功能和信号通路为阐明宫颈癌的分子机制奠定了理论基础。
