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TMEM65的预后和免疫浸润的泛癌分析,尤其是针对乳腺癌的分析。

Pan-Cancer Analysis of Prognostic and Immune Infiltrates for the TMEM65, Especially for the Breast Cancer.

作者信息

Song Xinming, Wang Pintian, Feng Ruiling, Chetry Mandika, Li E, Wu Xiaohua, Liu Zewa, Liao Shasha, Lin Jing

机构信息

Department of Oncology, The First Affiliated Hospital of Shantou University Medical College, Shantou 515041, Guangdong, China.

Department of Oncology, Shantou Longhu People's Hospital, Shantou, Guangdong, China.

出版信息

Evid Based Complement Alternat Med. 2023 Apr 17;2023:9349494. doi: 10.1155/2023/9349494. eCollection 2023.

DOI:10.1155/2023/9349494
PMID:37101716
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10125759/
Abstract

INTRODUCTION

Transmembrane protein 65 (TMEM65) is an inner mitochondrial membrane protein, which played important role in mediating autophagy, smooth muscle contraction, protein glycosylation, and immune response. In recent years, the interest had risen for exploring the function of the TMEM genes in the cancer fields. As a consequence, in our pan-cancer research of the TMEM65, we explored the function of the gene in kinds of database and tried to apply the finding in the clinical practice.

METHODS

In this research, we provide a comprehensive investigation of TMEM65 expression in a pan-cancer manner containing 33 cancer types. We evaluated the association of TMEM65 with the prognosis, immune infiltration, drug sensitivity analysis, GSVA enrichment analysis, TMB, MSI, NEO, and hotspot mechanisms.

RESULTS

TMEM65 was abnormally expressed in 24 types of cancers and showed correlation with the OS for 6 cancers and PFI for 9 cancers and kpI for 3 types. Moreover, the TME score, CD8 T effector, and immune checkpoint scoring systems showed a close correlation with the TMEM65. Moreover, TMEM65 was strongly correlated with some of the most common tumor-related genes and certain pathways (TGF beta signaling, TNFA signaling, hypoxia, pyroptosis, DNA repairing, autophagy, ferroptosis, and other related genes). Additionally, the TMEM65 showed correlations with the tumor mutational burden (TMB), microsatellite instability (MSI), NEO, and drug sensitivity. Finally, we confirmed several pathways by the GSEA and GSVA for the TMEM65 at the breast cancer aspects. Nomogram prediction model was also established for the breast tumors based on the TMEM65 level and other variables.

CONCLUSION

Above all, the TMEM65 played important roles in predicting the prognosis of the cancers and correlated with the tumor immunity in the pan-cancer analysis.

摘要

引言

跨膜蛋白65(TMEM65)是一种线粒体内膜蛋白,在介导自噬、平滑肌收缩、蛋白质糖基化和免疫反应中发挥重要作用。近年来,人们对探索TMEM基因在癌症领域的功能兴趣日益浓厚。因此,在我们对TMEM65的泛癌研究中,我们在各种数据库中探索了该基因的功能,并试图将研究结果应用于临床实践。

方法

在本研究中,我们以泛癌方式全面研究了TMEM65在33种癌症类型中的表达情况。我们评估了TMEM65与预后、免疫浸润、药物敏感性分析、基因集变异分析(GSVA)富集分析、肿瘤突变负荷(TMB)、微卫星不稳定性(MSI)、新抗原(NEO)和热点机制的相关性。

结果

TMEM65在24种癌症中异常表达,与6种癌症的总生存期(OS)、9种癌症的无进展生存期(PFI)和3种癌症的疾病进展指数(kpI)相关。此外,肿瘤微环境(TME)评分、CD8 T效应细胞和免疫检查点评分系统与TMEM65密切相关。此外,TMEM与一些最常见的肿瘤相关基因和某些通路(转化生长因子β信号通路、肿瘤坏死因子α信号通路、缺氧、细胞焦亡、DNA修复、自噬、铁死亡及其他相关基因)密切相关。此外,TMEM65与肿瘤突变负荷(TMB)、微卫星不稳定性(MSI)、新抗原(NEO)和药物敏感性相关。最后,我们通过基因集富集分析(GSEA)和基因集变异分析(GSVA)在乳腺癌方面证实了TMEM65的几种通路。还基于TMEM65水平和其他变量为乳腺肿瘤建立了列线图预测模型。

结论

综上所述,TMEM65在预测癌症预后中发挥重要作用,且在泛癌分析中与肿瘤免疫相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/e6495d4c3b5f/ECAM2023-9349494.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/9cd68c104964/ECAM2023-9349494.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/80e1982c22c1/ECAM2023-9349494.002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/87f2f3657211/ECAM2023-9349494.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/a945c4aa2f6d/ECAM2023-9349494.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/e6495d4c3b5f/ECAM2023-9349494.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/9cd68c104964/ECAM2023-9349494.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/80e1982c22c1/ECAM2023-9349494.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/0047f6528981/ECAM2023-9349494.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/c3cad5a335d9/ECAM2023-9349494.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/87f2f3657211/ECAM2023-9349494.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/a945c4aa2f6d/ECAM2023-9349494.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbf3/10125759/e6495d4c3b5f/ECAM2023-9349494.007.jpg

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