表1_阐明宫颈鳞状细胞癌和宫颈腺癌预后：一种新的失巢凋亡相关基因特征模型

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• 源站标题：Table_1_Elucidating prognosis in cervical squamous cell carcinoma and endocervical adenocarcinoma: a novel anoikis-related gene signature model.xlsx
• DOI：10.3389/fonc.2024.1352638.s004
• 发布日期：2024-06-26
• 文件数：1 个
• 文件总体积：9.01 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Elucidating_prognosis_in_cervical_squamous_cell_carcinoma_and_endocervical_adenocarcinoma_a_novel_anoikis-related_gene_signature_model_xlsx/26106070

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• Table_1_Elucidating prognosis in cervical squamous cell carcinoma and endocervical adenocarcinoma: a novel anoikis-related gene signature model.xlsx（9.01 KB）

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数据说明

BackgroundCervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are among the most prevalent gynecologic malignancies globally. The prognosis is abysmal once cervical cancer progresses to lymphatic metastasis. Anoikis, a specialized form of apoptosis induced by loss of cell adhesion to the extracellular matrix, plays a critical role. The prediction model based on anoikis-related genes (ARGs) expression and clinical data could greatly aid clinical decision-making. However, the relationship between ARGs and CESC remains unclear.
MethodsARGs curated from the GeneCards and Harmonizome portals were instrumental in delineating CESC subtypes and in developing a prognostic framework for patients afflicted with this condition. We further delved into the intricacies of the immune microenvironment and pathway enrichment across the identified subtypes. Finally, our efforts culminated in the creation of an innovative nomogram that integrates ARGs. The utility of this prognostic tool was underscored by Decision Curve Analysis (DCA), which illuminate its prospective benefits in guiding clinical interventions.
ResultsIn our study, We discerned a set of 17 survival-pertinent, anoikis-related differentially expressed genes (DEGs) in CESC, from which nine were meticulously selected for the construction of prognostic models. The derived prognostic risk score was subsequently validated as an autonomous prognostic determinant. Through comprehensive functional analyses, we observed distinct immune profiles and drug response patterns among divergent prognostic stratifications. Further, we integrated the risk scores with the clinicopathological characteristics of CESC to develop a robust nomogram. DCA corroborated the utility of our model, demonstrating its potential to enhance patient outcomes through tailored clinical treatment strategies.
ConclusionThe predictive signature, encompassing nine pivotal genes, alongside the meticulously constructed nomogram developed in this research, furnishes clinicians with a sophisticated tool for tailoring treatment strategies to individual patients diagnosed with CESC.

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CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2024.1352638.s004（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Elucidating_prognosis_in_cervical_squamous_cell_carcinoma_and_endocervical_adenocarcinoma_a_novel_anoikis-related_gene_signature_model_xlsx/26106070）。