Elevated Expression of Gamma-Glutamyl Hydrolase Is Associated With Poor Prognosis and Altered Immune Signature in Uterine Corpus Endometrial Carcinoma

被引:10
作者
Yu, Cong [1 ]
Qi, Haining [2 ]
Zhang, Yanhui [3 ]
Zhao, Wen [4 ]
Wu, Guoying [1 ]
机构
[1] Qilu Normal Univ, Sch Life Sci, Jinan, Peoples R China
[2] Shandong Univ Tradit Chinese Med, Affiliated Hosp, Dept Obstet, Jinan, Peoples R China
[3] Shandong Univ, Maternal & Child Hlth Care Hosp Shandong Prov, Jinan, Peoples R China
[4] Shandong Normal Univ, Coll Life Sci, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
GGH; prognosis; uterine corpus endometrial carcinoma; TCGA; immune infiltration; CANCER-CELLS; FOLIC-ACID; FOLATE; GENE; RISK; METABOLISM; DIETARY; GGH;
D O I
10.3389/fgene.2021.764194
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Uterine corpus endometrial carcinoma (UCEC) is a common malignant tumor of the female reproductive system with poor prognosis in advanced, recurrent, and metastatic cases. Identification of reliable molecular markers will help in the development of clinical strategies for early detection, diagnosis, and intervention. Gamma-glutamyl hydrolase (GGH) is a key enzyme in folate metabolism pathway. High expression of GGH is associated with severe clinicopathological features and poor prognosis of several cancers. High GGH expression is also related to cell resistance to antifolate drugs such as methotrexate. In this study we focused on the prognostic value of immunohistochemical GGH expression level in UCEC tissue and RNA-seq data from The Cancer Genome Atlas to establish associations with clinical features and outcomes. Further, we conducted comprehensive bioinformatics analyses to identify and functionally annotate differentially expressed genes (DEGs) associated with UCEC upregulation and assessed the effects of upregulation on immune infiltration. Both GGH mRNA and protein expression levels were elevated in tumor tissues, and higher expression was significantly associated with advanced clinicopathological features and poor prognosis by univariate analysis. Further multivariate analysis identified elevated GGH expression as an independent risk factor for poor outcome. Nomograms including GGH expression yielded a c-index for disease-specific survival prediction of 0.884 (95% confidence interval: 0.861-0.907). A total of 520 DEGs (111 upregulated and 409 downregulated) were identified between high and low GGH expression groups. Analysis using Gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway, Gene set enrichment analysis, and protein-protein interaction indicated significant associations of altered GGH expression with cell proliferation, immune response, and the occurrence and development of UCEC tumors. Finally, GGH expression level was associated with high Th2 cell and low natural killer CD56bright cell infiltration. Collectively, these findings indicate that GGH drives UCEC progression and could be a useful biomarker for survival prediction as well as a therapeutic target.
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页数:16
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共 59 条
[1]   Ameloblastin induces tumor suppressive phenotype and enhances chemosensitivity to doxorubicin via Src-Stat3 inactivation in osteosarcoma [J].
Ando, Toshinori ;
Kudo, Yasusei ;
Iizuka, Shinji ;
Tsunematsu, Takaaki ;
Umehara, Hanako ;
Shrestha, Madhu ;
Matsuo, Toshihiro ;
Kubo, Tadahiko ;
Shimose, Shouji ;
Arihiro, Koji ;
Ogawa, Ikuko ;
Ochi, Mitsuo ;
Takata, Takashi .
SCIENTIFIC REPORTS, 2017, 7
[2]   RANK-ligand (RANKL) expression in young breast cancer patients and during pregnancy [J].
Azim, Hatem A., Jr. ;
Peccatori, Fedro A. ;
Brohee, Sylvain ;
Branstetter, Daniel ;
Loi, Sherene ;
Viale, Giuseppe ;
Piccart, Martine ;
Dougall, William C. ;
Pruneri, Giancarlo ;
Sotiriou, Christos .
BREAST CANCER RESEARCH, 2015, 17
[3]   Endometrial Cancer: When Upfront Surgery Is Not an Option [J].
Barcellini, Amelia ;
Roccio, Marianna ;
Laliscia, Concetta ;
Zanellini, Francesca ;
Pettinato, Diana ;
Valvo, Francesca ;
Mirandola, Alfredo ;
Orlandi, Ester ;
Gadducci, Angiolo .
ONCOLOGY, 2021, 99 (02) :65-71
[4]   Spatiotemporal Dynamics of Intratumoral Immune Cells Reveal the Immune Landscape in Human Cancer [J].
Bindea, Gabriela ;
Mlecnik, Bernhard ;
Tosolini, Marie ;
Kirilovsky, Amos ;
Waldner, Maximilian ;
Obenauf, Anna C. ;
Angell, Helen ;
Fredriksen, Tessa ;
Lafontaine, Lucie ;
Berger, Anne ;
Bruneval, Patrick ;
Fridman, Wolf Herman ;
Becker, Christoph ;
Pages, Franck ;
Speicher, Michael R. ;
Trajanoski, Zlatko ;
Galon, Jerome .
IMMUNITY, 2013, 39 (04) :782-795
[5]  
Bray F, 2018, CA-CANCER J CLIN, V68, P394, DOI [10.3322/caac.21492, 10.3322/caac.21609]
[6]   Human natural killer cells [J].
Caligiuri, Michael A. .
BLOOD, 2008, 112 (03) :461-469
[7]   Promising New Tools for Targeting p53 Mutant Cancers: Humoral and Cell-Based Immunotherapies [J].
Chasov, Vitaly ;
Zaripov, Mikhail ;
Mirgayazova, Regina ;
Khadiullina, Raniya ;
Zmievskaya, Ekaterina ;
Ganeeva, Irina ;
Valiullina, Aigul ;
Rizvanov, Albert ;
Bulatov, Emil .
FRONTIERS IN IMMUNOLOGY, 2021, 12
[8]   Cancer Statistics in China, 2015 [J].
Chen, Wanqing ;
Zheng, Rongshou ;
Baade, Peter D. ;
Zhang, Siwei ;
Zeng, Hongmei ;
Bray, Freddie ;
Jemal, Ahmedin ;
Yu, Xue Qin ;
He, Jie .
CA-A CANCER JOURNAL FOR CLINICIANS, 2016, 66 (02) :115-132
[9]   Identification of a Quantitative MINT Locus Methylation Profile Predicting Local Regional Recurrence of Rectal [J].
de Maat, Michiel F. G. ;
van de Velde, Cornelis J. H. ;
Benard, Anne ;
Putter, Hein ;
Morreau, Hans ;
van Krieken, J. Han J. M. ;
Klein-Kranenbarg, Elma Meershoek ;
de Graaf, Eelco J. ;
Tollenaar, Rob A. E. M. ;
Hoon, Dave S. B. .
CLINICAL CANCER RESEARCH, 2010, 16 (10) :2811-2818
[10]   Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data [J].
Doncheva, Nadezhda T. ;
Morris, John H. ;
Gorodkin, Jan ;
Jensen, Lars J. .
JOURNAL OF PROTEOME RESEARCH, 2019, 18 (02) :623-632