2019
DOI: 10.1007/s13167-019-00187-w
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TMT-based quantitative proteomics revealed follicle-stimulating hormone (FSH)-related molecular characterizations for potentially prognostic assessment and personalized treatment of FSH-positive non-functional pituitary adenomas

Abstract: BackgroundNon-functional pituitary adenoma (NFPA) is highly heterogeneous with different hormone expression subtypes. Of them, follicle-stimulating hormone (FSH)-positive expression is an important subtype of NFPAs. It is well-known that FSH exerted its functions through binding its receptor. However, the expression rate of FSH receptor was significantly higher in aggressive pituitary adenomas. This study aimed to investigate the molecular characteristics of FSH-positive NFPAs for effective stratification of p… Show more

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Cited by 21 publications
(15 citation statements)
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“…5 b-c). Noticeably, we also highlighted FSTL4 , GAS2 , AIG1 , GNG2 , FSHR and SPTA1 genes, which were associated with folliculogenesis or hormone [ 42 – 47 ]. For instance, “circ 9:131264261–131268491”, which was down-regulated in the pre- vs. post-puberty groups, might interact with FSTL4 via ssc-miR-320, might interact with GAS2 via ssc-miR-582-5p, and might interact with FSHR via ssc-miR-493-3p (Additional files 9 and 10 ).…”
Section: Resultsmentioning
confidence: 99%
“…5 b-c). Noticeably, we also highlighted FSTL4 , GAS2 , AIG1 , GNG2 , FSHR and SPTA1 genes, which were associated with folliculogenesis or hormone [ 42 – 47 ]. For instance, “circ 9:131264261–131268491”, which was down-regulated in the pre- vs. post-puberty groups, might interact with FSTL4 via ssc-miR-320, might interact with GAS2 via ssc-miR-582-5p, and might interact with FSHR via ssc-miR-493-3p (Additional files 9 and 10 ).…”
Section: Resultsmentioning
confidence: 99%
“…After that, differentially expressed genes were used to predict the circRNA-miRNA-gene regulatory network ( Figure 4 b). Noticeably, we highlight FSTL4 , TSHR , SULT1E1 , NPFFR2 , RGCC , and ADAMTS4 genes, which were associated with puberty [ 34 , 35 , 36 , 37 , 38 , 39 ] ( Supplementary Table S7 ). Interestingly, one of these differentially expressed circRNAs, “circ 11:4104218-4118265” that interacted with FSTL4 via ssc-miR-34a, was down-regulated in the pre- vs. in-puberty groups, as well as down-regulated in the pre- vs. post-puberty groups ( Supplementary Tables S6 and S7 ).…”
Section: Resultsmentioning
confidence: 99%
“…A series of omics analyses have been performed in PAs to reach our long-term goals that clarify molecular mechanisms and discover effective biomarkers and therapeutic targets for PAs ( Zhan and Desiderio, 2010a ; Long et al, 2019 ; Cheng et al, 2019 ; Wang Y. et al, 2019 ), including NFPA quantitative transcriptomics (differentially expressed genes, DEGs) ( Moreno et al, 2005 ; Cheng et al, 2019 ), NFPA quantitative proteomics (differentially expressed proteins, DEPs) ( Moreno et al, 2005 ), NFPA proteomic mapping ( Zhan and Desiderio, 2003 ; Wang X. et al, 2015 ; Cheng et al, 2019 ), NFPA nitroproteomics ( Zhan and Desiderio, 2006 ), invasive NFPA quantitative transcriptomics ( Galland et al, 2010 ; Zhou et al, 2011 ; Wang Y. et al, 2019 ), invasive NFPA quantitative proteomics ( Zhan et al, 2014b ), control pituitary proteomic mapping ( Beranova-Giorgianni et al, 2002 ; Giorgianni et al, 2003 ; Zhao et al, 2005 ), pituitary control nitroproteomics ( Zhan and Desiderio, 2004 ; Zhan and Desiderio, 2007 ), control pituitary phosphoproteomics ( Giorgianni et al, 2004 ; Beranova-Giorgianni et al, 2006 ), PRL-secreting adenoma proteomics and transcriptomics ( Evans et al, 2008 ), and ACTH-secreting adenoma proteomics and metabolomics ( Feng et al, 2018 ). Integrative analysis of these omics data has revealed some important signaling pathway network alterations in PA pathogenesis, including mitochondrial dysfunction, oxidative stress, cell cycle dysregulation, and mitogen-activated protein kinase (MAPK) signaling pathway alteration ( Zhan and Desiderio, 2010a ; Long et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%