ITIH5作为P53样膀胱癌症预后和免疫治疗反应的预测因子,与细胞增殖和侵袭有关。

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular omics Pub Date : 2023-07-11 DOI:10.1039/D2MO00322H
Kun Peng, Degang Ding, Ning Wang, Tao Du, Lingdian Wang and Xiaoyu Duan
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引用次数: 0

摘要

p53样膀胱癌症(BLCA)是一种对基于顺铂的化疗具有耐药性的癌症亚型。这类肿瘤的理想治疗方式仍不明确,免疫疗法似乎是一种潜在的方法。因此,了解p53样BLCA的风险分层并确定新的治疗靶点具有重要意义。ITIH5是α-胰蛋白酶间抑制(ITI)基因家族的成员,ITIH5对p53样BLCA的影响仍然难以捉摸。在本研究中,TCGA数据和体外实验用于探讨ITIH5对p53样BLCA的预后价值及其对肿瘤细胞增殖、迁移和侵袭的影响。使用七种不同的算法探讨了ITIH5对免疫细胞浸润水平的影响,并结合独立的免疫疗法队列探讨了ITIH5对p53样BLCA免疫疗法疗效的预测价值。结果表明,ITIH5高表达患者预后较好,且ITIH5过表达可抑制肿瘤细胞的增殖、迁移和侵袭。两种或多种算法一致表明ITIH5促进抗肿瘤免疫细胞的浸润,如B细胞、CD4+T细胞和CD8+T细胞。此外,ITIH5的表达与许多免疫检查点的表达水平呈正相关,高ITIH5表达组对PD-L1和CTLA-4治疗显示出更好的应答率。简言之,ITIH5是p53样BLCA的预后和免疫治疗反应的预测因子,并与肿瘤免疫相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ITIH5, as a predictor of prognosis and immunotherapy response for P53-like bladder cancer, is related to cell proliferation and invasion†

ITIH5, as a predictor of prognosis and immunotherapy response for P53-like bladder cancer, is related to cell proliferation and invasion†

p53-like bladder cancer (BLCA) is a bladder cancer subtype that is resistant to cisplatin-based chemotherapy. The ideal treatment modality for such tumors remains poorly defined, and immunotherapy seems to be a potential approach. Therefore, it is significant to understand the risk stratification of p53-like BLCA and identify novel therapeutic targets. ITIH5 is a member of the inter-α-trypsin inhibitory (ITI) gene family, and the effect of ITIH5 on p53-like BLCA remains elusive. In this study, TCGA data and in vitro experiments were used to explore the prognostic value of ITIH5 for p53-like BLCA and its effect on tumor cell proliferation, migration, and invasion. The impact of ITIH5 on the level of immune cell infiltration was explored using seven different algorithms, and the predictive value of ITIH5 on the efficacy of immunotherapy for p53-like BLCA was explored in combination with an independent immunotherapy cohort. The results showed that patients with high ITIH5 expression had a better prognosis, and overexpression of ITIH5 could inhibit the proliferation, migration, and invasion of tumor cells. Two or more algorithms consistently showed that ITIH5 promoted the infiltration of antitumor immune cells, such as B cells, CD4+ T cells, and CD8+ T cells. In addition, ITIH5 expression was positively correlated with the expression levels of many immune checkpoints, and the high ITIH5 expression group showed better response rates to PD-L1 and CTLA-4 therapies. In short, ITIH5 is a predictor of prognosis and the immunotherapy response for p53-like BLCA and is correlated with tumor immunity.

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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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