全面泛癌分析 KLF 转录因子 2 (KLF2) 在人类肿瘤中的预后作用。

IF 2.7 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
OncoTargets and therapy Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI:10.2147/OTT.S476179
Rong Xu, Yuhan Chen, Shicai Wei, Jun Chen
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引用次数: 0

摘要

背景:KLF2是哺乳动物发育早期表达的转录因子,在发育和疾病的许多过程中发挥作用。方法:我们利用 TCGA(癌症基因组图谱)、GEO(基因表达总库)数据集、人类蛋白质图谱(HPA)、UALCAN 数据库、CancerSEA、GSCALite 和多种生物信息学工具,探讨了 KLF2 在 33 种肿瘤类型中的作用。此外,我们还进行了免疫组化和 qPCR,以进一步验证 KLF2 在多种癌症中的作用及其与预后的相关性:结果:我们发现,KLF2在大多数肿瘤中表达不足,通常预示着肿瘤患者的OS较差。我们发现,KLF2的扩增可能是卵巢浆液性囊腺癌(OV)患者的一个危险因素。我们还分析了特定免疫亚群(包括 CD8+ T 淋巴细胞(T 细胞)、CD4+ T 细胞、巨噬细胞和内皮细胞)的检查点和标记物的丰度,它们与泛癌组织中 KLF2 的表达水平显著相关。在某些癌症中,KLF2 的表达水平与基因启动子 DNA 甲基化和药物敏感性呈正相关。此外,我们还发现 KLF2 在某些癌症中参与了单细胞水平的细胞侵袭。此外,KLF2 还与多个参与免疫系统过程的细胞内信号转导基因共同表达。免疫组化和 qPCR 证实了 KLF2 在 STAD(胃腺癌)和肾癌中的低表达:我们的泛癌症分析全面概述了 KLF2 在多种人类癌症中的致癌作用,可将其视为潜在的预后标志物和癌症免疫疗法的新靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Pan-Cancer Analysis of the Prognostic Role of KLF Transcription Factor 2 (KLF2) in Human Tumors.

Background: KLF2 is a transcription factor expressed early in mammalian development that plays a role in many processes of development and disease. Recently, increasing studies revealed that KLF2 plays a key role in the occurrence and progression of cancer.

Purpose: The aim of this study was to explore the role of KLF2 in various tumor types using the Cancer Genome Atlas dataset.

Methods: Here, we set out to explore the role of KLF2 in 33 tumor types using TCGA (The Cancer Genome Atlas), GEO (Gene Expression Omnibus) dataset, Human Protein Atlas (HPA), UALCAN database, CancerSEA, GSCALite and several bioinformatic tools. Furthermore, we also performed immunohistochemistry and qPCR to further validate the role of KLF2 in multiple cancers and its correlation with prognosis.

Results: We found that KLF2 was underexpressed in most tumors and generally predicted poor OS in tumor patients. We found that amplification of KLF2 may be a risk factor for patients with OV (Ovarian serous cystadenocarcinoma). We also analyzed the abundance of checkpoints and markers of specific immune subsets including CD8+ T lymphocytes (T cells), CD4+ T cells, macrophages, and endothelial cells that significantly correlated with the expression level of KLF2 in pan-carcinoma tissues. In some cancers, KLF2 expression levels are positively correlated with gene promoter DNA methylation and drug sensitivity. In addition, we found that KLF2 is involved in single-cell level cell invasion in some cancers. In addition, KLF2 is co-expressed with several intracellular signal transduction genes involved in immune system processes. Immunohistochemistry and qPCR confirmed the low expression of KLF2 in STAD (stomach adenocarcinoma) and renal cancer.

Conclusion: Our pan-cancer analysis provides a comprehensive overview of the oncogenic roles of KLF2 in multiple human cancers and can be regarded as a potential prognostic marker and a novel target for cancer immunotherapy.

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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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