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基于生物信息学分析发现用于 CAR-T 治疗卵巢癌的差异表达蛋白。

Discovery of differentially expressed proteins for CAR-T therapy of ovarian cancers with a bioinformatics analysis.

机构信息

International Ph.D. Program in Cell Therapy and Regenerative Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.

Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Makassar, Makassar 90221, Indonesia.

出版信息

Aging (Albany NY). 2024 Jul 18;16(14):11409-11433. doi: 10.18632/aging.206024.

Abstract

Target antigens are crucial for developing chimeric antigen receptor (CAR)-T cells, but their application to ovarian cancers is limited. This study aimed to identify potential genes as CAR-T-cell antigen candidates for ovarian cancers. A differential gene expression analysis was performed on ovarian cancer samples from four datasets obtained from the GEO datasets. Functional annotation, pathway analysis, protein localization, and gene expression analysis were conducted using various datasets and tools. An oncogenicity analysis and network analysis were also performed. In total, 153 differentially expressed genes were identified in ovarian cancer samples, with 60 differentially expressed genes expressing plasma membrane proteins suitable for CAR-T-cell antigens. Among them, 21 plasma membrane proteins were predicted to be oncogenes in ovarian cancers, with nine proteins playing crucial roles in the network. Key genes identified in the oncogenic pathways of ovarian cancers included , , , , , , , , and , suggesting them as recommended antigens for CAR-T-cell therapy for ovarian cancers. This study sheds light on potential targets for immunotherapy in ovarian cancers.

摘要

靶抗原对于嵌合抗原受体 (CAR)-T 细胞的发展至关重要,但将其应用于卵巢癌受到限制。本研究旨在确定潜在的基因作为卵巢癌 CAR-T 细胞抗原候选物。对从 GEO 数据集获得的四个数据集的卵巢癌样本进行差异基因表达分析。使用各种数据集和工具进行功能注释、通路分析、蛋白质定位和基因表达分析。还进行了致癌性分析和网络分析。总共在卵巢癌样本中鉴定出 153 个差异表达基因,其中 60 个差异表达基因表达适合 CAR-T 细胞抗原的质膜蛋白。其中,21 个质膜蛋白被预测为卵巢癌中的致癌基因,其中 9 个蛋白在网络中发挥关键作用。在卵巢癌致癌途径中鉴定出的关键基因包括、、、、、、、和,表明它们是卵巢癌 CAR-T 细胞治疗的推荐抗原。本研究为卵巢癌的免疫治疗提供了潜在的靶点。

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