结直肠手术腹膜后肿瘤的综合计算机分析:进展和意义。

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Wenqing Liu, Weida Chen, Maosheng Tang, Shibo Liu, Haichen Gao, Chengli Miao
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引用次数: 0

摘要

腹膜后肿瘤由于其复杂的解剖位置、侵袭性行为和异质性,在结直肠手术中构成了重大挑战。传统的诊断和治疗方法往往不能有效地控制这些肿瘤。本研究利用先进的计算机方法对与结直肠疾病相关的腹膜后肿瘤进行全面分析。通过整合计算建模和尖端生物信息学工具,我们的目标是加强对肿瘤生物学的理解,提高诊断精度,优化手术结果。我们的综合方法结合了转录组学和蛋白质组学数据,这些数据来自于癌症基因组图谱(TCGA)和基因表达图谱(GEO)等公开可用的数据库。转录组学分析揭示了差异表达基因(DEGs)作为早期诊断和预后的潜在生物标志物。蛋白质组学分析强调了参与肿瘤发生和转移的关键蛋白质相互作用网络和途径。我们的综合方法鉴定关键deg并构建蛋白蛋白相互作用(PPI)网络,以确定关键调控基因,如VWF, PF4, ITGA2B, CXCL8和GP9,这些基因可能作为潜在的生物标志物或治疗靶点。功能富集分析揭示了肿瘤发生的重要途径,包括细胞增殖、免疫反应和DNA修复。此外,使用CIBERSORT算法的免疫细胞浸润分析显示,以调节性T细胞(Tregs)和M2巨噬细胞增加为特征的免疫抑制肿瘤微环境可能有助于肿瘤免疫逃避。未来的研究应侧重于这些发现的临床验证和计算模型的扩展,以包括不同的患者群体。通过这些努力,我们的目标是彻底改变结直肠手术中腹膜后肿瘤的治疗,最终改善患者的护理和生存率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative In-Silico Analysis of Retroperitoneal Tumors in Colorectal Surgery: Advancements and Implications.

Retroperitoneal tumors pose significant challenges in colorectal surgery due to their complex anatomical location, aggressive behavior, and heterogeneous nature. Traditional diagnostic and treatment methods often fall short in effectively managing these tumors. This study leverages advanced in-silico methodologies to perform a comprehensive analysis of retroperitoneal tumors associated with colorectal conditions. By integrating computational modeling and cutting-edge bioinformatics tools, we aim to enhance the understanding of tumor biology, improve diagnostic precision, and optimize surgical outcomes. Our integrative approach combines transcriptomic, and proteomic data from publicly available databases such as The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Transcriptomic analysis reveals differentially expressed genes (DEGs) that serve as potential biomarkers for early diagnosis and prognosis. Proteomic analysis highlights critical protein interaction networks and pathways involved in tumorigenesis and metastasis. Our integrative approach identifies key DEGs and constructs protein-protein interaction (PPI) networks to pinpoint critical regulatory genes, such as VWF, PF4, ITGA2B, CXCL8, and GP9, that may serve as potential biomarkers or therapeutic targets. Functional enrichment analysis reveals significant pathways involved in tumorigenesis, including cell proliferation, immune response, and DNA repair. Additionally, immune cell infiltration analysis using the CIBERSORT algorithm demonstrates an immunosuppressive tumor microenvironment characterized by increased regulatory T cells (Tregs) and M2 macrophages, which could contribute to tumor immune evasion.Future studies should focus on clinical validation of these findings and the expansion of computational models to include diverse patient populations. Through these efforts, we aim to revolutionize the management of retroperitoneal tumors in colorectal surgery, ultimately improving patient care and survival rates.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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