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Increased PAFAH1B3 was associated with poor prognosis and T-cell exhaustion microenvironment in hepatocellular carcinoma PAFAH1B3 的增加与肝细胞癌的不良预后和 T 细胞衰竭微环境有关
Pub Date : 2023-12-08 DOI: 10.1007/s12672-023-00845-6
Genhao Zhang

The link between T-cell exhaustion (TEX) and PAFAH1B3 in hepatocellular carcinoma (HCC) remains unknown, even though both of them are related to overall survival. PAFAH1B3 expression was investigated in TCGA and ICGC data, and 50 paired clinical tissue section samples were used for qRT-PCR and immunohistochemistry (IHC) confirmation. The Immunocell Abundance Identifier (ImmuCellAI) was used to precisely calculate the abundance of TEX, and its accuracy was verified by single-cell RNA-seq and labeling of CD8 + T cells in clinical tissue sections. The IMVigor 210 cohort was used to demonstrate the predictive value of PAFAH1B3 for immunotherapy efficacy. Increased PAFAH1B3 is a standalone effector of poor prognosis in HCC patients. Patients who had greater PAFAH1B3 levels had more TEX infiltration. PAFAH1B3 expression was increased in TEX in the single-cell RNA-seq data. Patients with high PAFAH1B3 expression were more likely to respond favorably to PD1/PD-L1 treatment. In conclusion, PAFAH1B3 is closely related to TEX in the tumor microenvironment (TME) and can be a useful indicator for PD1/PD-L1 therapy.

肝细胞癌(HCC)中的T细胞衰竭(TEX)与PAFAH1B3之间的联系仍然未知,尽管两者都与总生存率有关。研究人员在TCGA和ICGC数据中调查了PAFAH1B3的表达,并使用50个配对的临床组织切片样本进行qRT-PCR和免疫组化(IHC)确认。免疫细胞丰度识别器(ImmuCellAI)用于精确计算TEX的丰度,其准确性通过单细胞RNA-seq和临床组织切片中CD8 + T细胞的标记得到了验证。IMVigor 210队列用于证明PAFAH1B3对免疫疗法疗效的预测价值。PAFAH1B3的增加是HCC患者预后不良的独立效应因子。PAFAH1B3水平较高的患者有更多的TEX浸润。在单细胞RNA-seq数据中,PAFAH1B3在TEX中的表达增加。PAFAH1B3高表达的患者更有可能对PD1/PD-L1治疗产生良好反应。总之,PAFAH1B3与肿瘤微环境(TME)中的TEX密切相关,可以作为PD1/PD-L1治疗的有用指标。
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引用次数: 0
Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathway 感染 COVID-19 会通过 PI3K-AKT 信号通路促进胰腺癌的进展
Pub Date : 2023-12-08 DOI: 10.1007/s12672-023-00842-9
Xusheng Zhang, Bendong Chen, Kejun Liu, Yongxin Ma, Yimin Liu, Hongcai Zhou, Peng Wei

Objective

To investigate the effect of COVID-19 infection on pancreatic cancer.

Methods

Based on the mRNA-Seq data of COVID-19 patients and pancreatic cancer (PC) patients in the GEO database, we used a support vector machine (SVM), LASSO-Cox regression analysis and random forest tree (RF) to screen the common signature genes of the two diseases and further investigate their effects and functional characteristics on PC, respectively. The above procedures were performed in R software.

Results

The proteins COL10A1/FAP/FN1 were found to be common signature genes for COVID-19 and PC, were significantly up-regulated in both diseases and showed good diagnostic efficacy for PC. The risk model based on COL10A1/FAP/FN1 showed good PC risk prediction ability and clinical application potential. Tumor typing based on COL10A1/FAP/FN1 expression levels effectively classified PC into different subtypes and showed significant differences between the two subtypes in terms of survival prognosis, immune levels, immune checkpoint expression levels, mutation status of common tumor mutation sites, and drug sensitivity analysis. While pathway analysis also revealed that FN1 as an extracellular matrix component may be involved in the biological process of PC by regulating the PI3K-AKT signaling axis.

Conclusion

The upregulated expression of COL10A1/FAP/FN1, the characteristic genes of COVID-19, are potential diagnostic targets for PC, and the upregulated expression of FN1 may promote the progression of PC by activating the PI3K-AKT signaling pathway. The COL10A1/FAP/FN1-based typing provides a new typing approach for PC, and also provides a good reference and idea for the refinement of PC treatment and subsequent clinical research.

方法基于GEO数据库中COVID-19患者和胰腺癌(PC)患者的mRNA-Seq数据,采用支持向量机(SVM)、LASSO-Cox回归分析和随机森林树(RF)筛选出两种疾病的共同特征基因,并分别进一步研究其对PC的影响和功能特征。结果发现COL10A1/FAP/FN1蛋白是COVID-19和PC的共同特征基因,在两种疾病中均显著上调,对PC有良好的诊断效果。基于COL10A1/FAP/FN1的风险模型具有良好的PC风险预测能力和临床应用潜力。基于COL10A1/FAP/FN1表达水平的肿瘤分型有效地将PC分为不同的亚型,并在生存预后、免疫水平、免疫检查点表达水平、常见肿瘤突变位点的突变状态以及药物敏感性分析等方面显示出两种亚型之间的显著差异。结论 COVID-19 的特征基因 COL10A1/FAP/FN1 的表达上调是 PC 的潜在诊断靶点,而 FN1 的表达上调可能通过激活 PI3K-AKT 信号通路促进 PC 的进展。基于COL10A1/FAP/FN1的分型为PC提供了一种新的分型方法,也为PC的精细化治疗和后续临床研究提供了良好的参考和思路。
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引用次数: 0
MMTV-PyMT and Derived Met-1 Mouse Mammary Tumor Cells as Models for Studying the Role of the Androgen Receptor in Triple-Negative Breast Cancer Progression MMTV-PyMT和衍生的Met-1小鼠乳腺肿瘤细胞作为研究雄激素受体在三阴性乳腺癌进展中的作用的模型
Pub Date : 2017-02-13 DOI: 10.1007/s12672-017-0285-6
Jessica L. Christenson, Kiel T. Butterfield, Nicole S. Spoelstra, J. Norris, J. Josan, Julie A. Pollock, D. McDonnell, B. Katzenellenbogen, J. Katzenellenbogen, J. Richer
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引用次数: 39
The Contribution of Cholesterol and Its Metabolites to the Pathophysiology of Breast Cancer 胆固醇及其代谢产物在乳腺癌病理生理中的作用
Pub Date : 2016-03-28 DOI: 10.1007/s12672-016-0262-5
A. Baek, E. Nelson
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引用次数: 40
Nipple Aspirate Fluid Hormone Concentrations and Breast Cancer Risk 乳头抽吸液激素浓度与乳腺癌风险
Pub Date : 2016-02-22 DOI: 10.1007/s12672-016-0252-7
R. Chatterton, Richard E. Heinz, A. Fought, D. Ivancic, C. Shappell, Subhashini Allu, S. Gapstur, D. Scholtens, P. Gann, S. Khan
{"title":"Nipple Aspirate Fluid Hormone Concentrations and Breast Cancer Risk","authors":"R. Chatterton, Richard E. Heinz, A. Fought, D. Ivancic, C. Shappell, Subhashini Allu, S. Gapstur, D. Scholtens, P. Gann, S. Khan","doi":"10.1007/s12672-016-0252-7","DOIUrl":"https://doi.org/10.1007/s12672-016-0252-7","url":null,"abstract":"","PeriodicalId":13170,"journal":{"name":"Hormones and Cancer","volume":"1 1","pages":"127-136"},"PeriodicalIF":0.0,"publicationDate":"2016-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84151951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Classical and Non-Classical Roles for Pre-Receptor Control of DHT Metabolism in Prostate Cancer Progression 受体前控制DHT代谢在前列腺癌进展中的经典和非经典作用
Pub Date : 2016-01-21 DOI: 10.1007/s12672-016-0250-9
Ailin Zhang, Jiawei Zhang, S. Plymate, E. Mostaghel
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引用次数: 30
Estrogen Metabolism and Risk of Postmenopausal Endometrial and Ovarian Cancer: the B∼FIT Cohort 雌激素代谢与绝经后子宫内膜癌和卵巢癌的风险:B ~ FIT队列
Pub Date : 2016-01-04 DOI: 10.1007/s12672-015-0237-y
C. Dallal, J. Lacey, R. Pfeiffer, D. Bauer, R. Falk, D. Buist, J. Cauley, T. Hue, A. LaCroix, J. Tice, T. Veenstra, Xia Xu, L. Brinton, for the B∼FIT Research Group
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引用次数: 34
The New Instructions to Authors for the Reporting of Steroid Hormone Measurements 类固醇激素测量报告的作者新指南
Pub Date : 2014-10-29 DOI: 10.1007/s12672-014-0202-1
M. Wierman, R. Auchus, D. Haisenleder, J. Hall, David Handelsman, S. Hankinson, W. Rosner, Ravinder J Singh, P. Sluss, F. Stanczyk
{"title":"The New Instructions to Authors for the Reporting of Steroid Hormone Measurements","authors":"M. Wierman, R. Auchus, D. Haisenleder, J. Hall, David Handelsman, S. Hankinson, W. Rosner, Ravinder J Singh, P. Sluss, F. Stanczyk","doi":"10.1007/s12672-014-0202-1","DOIUrl":"https://doi.org/10.1007/s12672-014-0202-1","url":null,"abstract":"","PeriodicalId":13170,"journal":{"name":"Hormones and Cancer","volume":"23 3 1","pages":"357"},"PeriodicalIF":0.0,"publicationDate":"2014-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83579246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Hormones and Cancer is Alive and Well at ICE/ENDO 2014 激素和癌症在ICE/ENDO 2014上活得很好
Pub Date : 2014-04-26 DOI: 10.1007/s12672-014-0178-x
C. Lange
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引用次数: 0
Translational Highlights 转化了
Pub Date : 2014-01-01 DOI: 10.1007/s12672-014-0186-x
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引用次数: 0
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Hormones and Cancer
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