ArticleBMC medical genomics2014
Heterogeneity analysis of the proteomes in clinically nonfunctional pituitary adenomas.
Article in BMC medical genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed, 39 citations in OpenAlex.
- Proteomic insights into the invasiveness and tumor progression of non-functioning pituitary adenomas: A scoping review.Journal of neuroendocrinology · 2026Article
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- Proteomic Profiles Associated With Postsurgical Progression in Nonfunctioning Pituitary Adenomas.The Journal of clinical endocrinology and metabolism · 2024Article
- scRNA sequencing technology for PitNET studies.Frontiers in endocrinology · 2024Review
- Oxidative stress in pituitary neuroendocrine tumors: Affecting the tumor microenvironment and becoming a new target for pituitary neuroendocrine tumor therapy.CNS neuroscience & therapeutics · 2023Review
- ACT001 inhibits pituitary tumor growth by inducing autophagic cell death via MEK4/MAPK pathway.Acta pharmacologica Sinica · 2022Article
- Muti-omics integration analysis revealed molecular network alterations in human nonfunctional pituitary neuroendocrine tumors in the framework of 3P medicine.The EPMA journal · 2022Review
- Architects of Pituitary Tumour Growth.Frontiers in endocrinology · 2022Review
- Article
- Targeting Nrf2-Mediated Oxidative Stress Response Signaling Pathways as New Therapeutic Strategy for Pituitary Adenomas.Frontiers in pharmacology · 2021Article
- Novel Insights into Pituitary Tumorigenesis: Genetic and Epigenetic Mechanisms.Endocrine reviews · 2020Review
- Article
- Article
- A Novel Expression Profile of Cell Cycle and DNA Repair Proteins in Nonfunctioning Pituitary Adenomas.Endocrine pathology · 2020Article
- Identification of driver genes and key pathways of non-functional pituitary adenomas predicts the therapeutic effect of STO-609.PloS one · 2020Article
- Editorial: Molecular Network Study of Pituitary Adenomas.Frontiers in endocrinology · 2020Article
- Article
- Splicing Machinery is Dysregulated in Pituitary Neuroendocrine Tumors and is Associated with Aggressiveness Features.Cancers · 2019Article
- DNA hypomethylation-related overexpression of SFN, GORASP2 and ZYG11A is a novel prognostic biomarker for early stage lung adenocarcinoma.Oncotarget · 2019Article
- Multiomics-Based Signaling Pathway Network Alterations in Human Non-functional Pituitary Adenomas.Frontiers in endocrinology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundClinically nonfunctional pituitary adenomas (NFPAs) without any clinical elevation of hormone and with a difficulty in its early-stage diagnosis are highly heterogeneous with different hormone expressions in NFPA tissues, including luteinizing hormone (LH)-positive, follicle-stimulating hormone (FSH)-positive, LH/FSH-positive, and negative (NF). Elucidation of molecular mechanisms and discovery of biomarkers common and specific to those different subtypes of NFPAs will benefit NFPA patients in early-stage diagnosis and individualized treatment.
methodsTwo-dimensional gel electrophoresis (2DGE) and PDQuest image analyses were used to compare proteomes of different NFPA subtypes (NF-, LH-, FSH-, and LH/FSH-positive) relative to control pituitaries (Con). Differentially expressed proteins (DEPs) were characterized with mass spectrometry (MS). Each set of DEPs in four NFPA subtypes was evaluated with overlap analysis and signaling pathway network analysis with comparison to determine any DEP and pathway network that are common and specific to each NFPA subtype.
resultsA total of 93 differential protein-spots were determined with comparison of each NFPA type (NF-, LH-, FSH-, and LH/FSH-positive) versus control pituitaries. A total of 76 protein-spots were MS-identified (59 DEPs in NF vs. Con; 65 DEPs in LH vs. Con; 63 DEPs in FSH vs. Con; and 55 DEPs in LH/FSH vs. Con). A set of DEPs and pathway network data were common and specific to each NFPA subtype. Four important common pathway systems included MAPK-signaling abnormality, oxidative stress, mitochondrial dysfunction, and cell-cycle dysregulation. However, these pathway systems were, in fact, different among four NFPA subtypes with different protein-expression levels of most of nodes, different protein profiles, and different pathway network profiles.
conclusionsThese result data demonstrate that common and specific DEPs and pathway networks exist in four NFPA subtypes, and clarify proteome heterogeneity of four NFPA subtypes. Those findings will help to elucidate molecular mechanisms of NFPAs, and discover protein biomarkers to effectively manage NFPA patients towards personalized medicine.
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