Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
11 result(s) for "Vela-Patiño, Sandra"
Sort by:
Transcriptome and methylome analysis reveals three cellular origins of pituitary tumors
Pituitary adenomas (PA) are the second most common intracranial tumors. These neoplasms are classified according to the hormone they produce. The majority of PA occur sporadically, and their molecular pathogenesis is incompletely understood. The present transcriptomic and methylomic analysis of PA revealed that they segregate into three molecular clusters according to the transcription factor driving their terminal differentiation. First cluster, driven by NR5A1, consists of clinically non-functioning PA (CNFPA), comprising gonadotrophinomas and null cell; the second cluster consists of clinically evident ACTH adenomas and silent corticotroph adenomas, driven by TBX19; and the third, POU1F1-driven TSH-, PRL- and GH-adenomas, segregated together. Genes such as CACNA2D4, EPHA4 and SLIT1, were upregulated in each of these three clusters, respectively. Pathway enrichment analysis revealed specific alterations of these clusters: calcium signaling pathway in CNFPA; renin-angiotensin system for ACTH-adenomas and fatty acid metabolism for the TSH-, PRL-, GH-cluster. Non-tumoral pituitary scRNAseq data confirmed that this clustering also occurs in normal cytodifferentiation. Deconvolution analysis identify potential mononuclear cell infiltrate in PA consists of dendritic, NK and mast cells. Our results are consistent with a divergent origin of PA, which segregate into three clusters that depend on the specific transcription factors driving late pituitary cytodifferentiation.
The kinome, cyclins and cyclin-dependent kinases of pituitary adenomas, a look into the gene expression profile among tumors from different lineages
Background Pituitary adenomas (PA) are the second most common intracranial tumors and are classified according to hormone they produce, and the transcription factors they express. The majority of PA occur sporadically, and their molecular pathogenesis is incompletely understood. Methods Here we performed transcriptome and proteome analysis of tumors derived from POU1F1 (GH-, TSH-, and PRL-tumors, N = 16), NR5A1 (gonadotropes and null cells adenomas, n = 17) and TBX19 (ACTH-tumors, n = 6) lineages as well as from silent ACTH-tumors (n = 3) to determine expression of kinases, cyclins, CDKs and CDK inhibitors. Results The expression profiles of genes encoding kinases were distinctive for each of the three PA lineage: NR5A1-derived tumors showed upregulation of ETNK2 and PIK3C2G and alterations in MAPK, ErbB and RAS signaling, POU1F1-derived adenomas showed upregulation of PIP5K1B and NEK10 and alterations in phosphatidylinositol, insulin and phospholipase D signaling pathways and TBX19-derived adenomas showed upregulation of MERTK and STK17B and alterations in VEGFA-VEGFR, EGF-EGFR and Insulin signaling pathways. In contrast, the expression of the different genes encoding cyclins, CDK and CDK inhibitors among NR5A1-, POU1F1- and TBX19-adenomas showed only subtle differences. CDK9 and CDK18 were upregulated in NR5A1-adenomas, whereas CDK4 and CDK7 were upregulated in POUF1-adenomas. Conclusions The kinome of PA clusters these lesions into three distinct groups according to the transcription factor that drives their terminal differentiation. And these complexes could be harnessed as molecular therapy targets.
Longitudinal multiomics analysis of aggressive pituitary neuroendocrine tumors: comparing primary and recurrent tumors from the same patient, reveals genomic stability and heterogeneous transcriptomic profiles with alterations in metabolic pathways
Pituitary neuroendocrine tumors (PitNET) represent the vast majority of sellar masses. Some behave aggressively, growing rapidly and invading surrounding tissues, with high rates of recurrence and resistance to therapy. Our aim was to establish patterns of genomic, transcriptomic and methylomic evolution throughout time in primary and recurrent tumors from the same patient. Therefore, we performed transcriptome- and exome-sequencing and methylome microarrays of aggressive, primary, and recurrent PitNET from the same patient. Primary and recurrent tumors showed a similar exome profile, potentially indicating a stable genome over time. In contrast, the transcriptome of primary and recurrent PitNET was dissimilar. Gonadotroph, silent corticotroph, as well as metastatic corticotroph and a somatotroph PitNET expressed genes related to fatty acid biosynthesis and metabolism, phosphatidylinositol signaling, glycerophospholipid and phospholipase D signaling, respectively . Diacylglycerol kinase gamma (DGKG), a key enzyme in glycerophospholipid metabolism and phosphatidylinositol signaling pathways, was differentially expressed between primary and recurrent PitNET. These alterations did not seem to be regulated by DNA methylation, but rather by several transcription factors. Molecular docking showed that dasatinib, a small molecule tyrosine kinase inhibitor used in the treatment of chronic lymphocytic and acute lymphoblastic leukemia, could target DGKG. Dasatinib induced apoptosis and decreased proliferation in GH3 cells. Our data indicate that pituitary tumorigenesis could be driven by transcriptomically heterogeneous clones, and we describe alternative pharmacological therapies for aggressive and recurrent PitNET.
Mesenchymal Stem Cells Induce an Immunosuppressive Microenvironment in Pituitary Tumors
Abstract Context The tumor microenvironment (TME) includes diverse cellular components such as mesenchymal stem cells (MSCs) and immune cells, among others. MSC have been isolated from different tumors and they favor tumor cell growth; however, their role in pituitary tumors (PTs) remains unknown. Objective Herein we report the presence of MSCs in 2 adrenocorticotropin (ACTH)-secreting PTs causing Cushing disease (MCU), 2 nonfunctioning adenomas of gonadotrope differentiation (MNF), and 2 nontumoral pituitary glands (MS). Methods We have analyzed the transcriptomic profiles by RNA sequencing and compared MSCs in terms of their immunosuppressive effects against lymphoid T-cell and macrophage populations by means of cocultures and flow cytometry. Results Our transcriptomic analysis revealed molecular differences between MSCs derived from nontumoral pituitaries and MSCs derived from PTs. Two distinct subpopulations of MSC emerged: one displaying immunosuppressive properties and the other with increased proproliferative capabilities, regardless of their origin. MSCs derived from ACTH- and nonfunctioning PTs, but not those derived from nontumoral glands, significantly inhibited the proliferation of activated T cells, favored the generation of regulatory T cells, and promoted M2 macrophage polarization. Such immunosuppressive effects were correlated with an upregulation of programmed death ligand 1 and intracellular expression of macrophage colony-stimulating factor (M-CSF) and interleukin-10. Importantly, MSC derived from ACTH-PTs showed a higher immunosuppressive potential than MSC isolated from nonfunctioning tumors. Conclusion This study demonstrates the presence of at least 2 MSC subpopulations in the pituitary gland and suggests that immunosuppressive effects of MSCs may have important implications in PT growth.
The Genomic Landscape of Corticotroph Tumors: From Silent Adenomas to ACTH-Secreting Carcinomas
Corticotroph cells give rise to aggressive and rare pituitary neoplasms comprising ACTH-producing adenomas resulting in Cushing disease (CD), clinically silent ACTH adenomas (SCA), Crooke cell adenomas (CCA) and ACTH-producing carcinomas (CA). The molecular pathogenesis of these tumors is still poorly understood. To better understand the genomic landscape of all the lesions of the corticotroph lineage, we sequenced the whole exome of three SCA, one CCA, four ACTH-secreting PA causing CD, one corticotrophinoma occurring in a CD patient who developed Nelson syndrome after adrenalectomy and one patient with an ACTH-producing CA. The ACTH-producing CA was the lesion with the highest number of single nucleotide variants (SNV) in genes such as USP8, TP53, AURKA, EGFR, HSD3B1 and CDKN1A. The USP8 variant was found only in the ACTH-CA and in the corticotrophinoma occurring in a patient with Nelson syndrome. In CCA, SNV in TP53, EGFR, HSD3B1 and CDKN1A SNV were present. HSD3B1 and CDKN1A SNVs were present in all three SCA, whereas in two of these tumors SNV in TP53, AURKA and EGFR were found. None of the analyzed tumors showed SNV in USP48, BRAF, BRG1 or CABLES1. The amplification of 17q12 was found in all tumors, except for the ACTH-producing carcinoma. The four clinically functioning ACTH adenomas and the ACTH-CA shared the amplification of 10q11.22 and showed more copy-number variation (CNV) gains and single-nucleotide variations than the nonfunctioning tumors.
The Immune Microenvironment Landscape of Pituitary NeuroEndocrine Tumors, a Transcriptomic Approach
Pituitary neuroendocrine tumors (PitNET) are known to be variably infiltrated by different immune cells. Nonetheless, their role in pituitary oncogenesis has only begun to be unveiled. The immune microenvironment could determine the biological and clinical behavior of a neoplasm and may have prognostic implications. To evaluate the expression of immune-related genes and to correlate such expression with the presence of infiltrating immune cells in forty-two PitNETs of different lineages, we performed whole transcriptome analysis and RT-qPCR. Deconvolution analysis was carried out to infer the immune cell types present in each tumor and the presence of immune cells was confirmed by immunofluorescence. We found characteristic expression profiles of immune-related genes including those encoding interleukins and chemokines for each tumor lineage. Genes such as IL4-I1, IL-36A, TIRAP, IL-17REL, and CCL5 were upregulated in all PitNETS, whereas IL34, IL20RA, and IL-2RB characterize the NR5A1-, TBX19-, and POU1F1-derived tumors, respectively. Transcriptome deconvolution analysis showed that M2 macrophages, CD4+ T cells, CD8+ T cells, NK cells, and neutrophils can potentially infiltrate PitNET. Furthermore, CD4+ and CD8+ T cells and NK cells infiltration was validated by immunofluorescence. Expression of CCL18, IL-5RA, and HLA-B as well as macrophage tumor infiltration could identify patients who can potentially benefit from treatment with immune checkpoint inhibitors.
Proteomic and Transcriptomic Analysis Identify Spliceosome as a Significant Component of the Molecular Machinery in the Pituitary Tumors Derived from POU1F1- and NR5A1-Cell Lineages
Background: Pituitary adenomas (PA) are the second most common tumor in the central nervous system and have low counts of mutated genes. Splicing occurs in 95% of the coding RNA. There is scarce information about the spliceosome and mRNA-isoforms in PA, and therefore we carried out proteomic and transcriptomic analysis to identify spliceosome components and mRNA isoforms in PA. Methods: Proteomic profile analysis was carried out by nano-HPLC and mass spectrometry with a quadrupole time-of-flight mass spectrometer. The mRNA isoforms and transcriptomic profiles were carried out by microarray technology. With proteins and mRNA information we carried out Gene Ontology and exon level analysis to identify splicing-related events. Results: Approximately 2000 proteins were identified in pituitary tumors. Spliceosome proteins such as SRSF1, U2AF1 and RBM42 among others were found in PA. These results were validated at mRNA level, which showed up-regulation of spliceosome genes in PA. Spliceosome-related genes segregate and categorize PA tumor subtypes. The PA showed alterations in CDK18 and THY1 mRNA isoforms which could be tumor specific. Conclusions: Spliceosome components are significant constituents of the PA molecular machinery and could be used as molecular markers and therapeutic targets. Splicing-related genes and mRNA-isoforms profiles characterize tumor subtypes.
The hallmarks of cancer… in pituitary tumors?
Abstract Over 20 years ago, Hanahan and Weinberg published a seminal review that addressed the biological processes that underly malignant transformation. This classical review, along with two revisions published in 2011 and 2022, has remain a classic of the oncology literature. Since many of the addressed biological processes may apply to non-malignant tumorigenesis, we evaluated to what extent these hallmarks pertain to the development of pituitary adenomas.Some of the biological processes analyzed in this review include genome instability generated by somatic USP8 and GNAS mutations in Cushing’s diseases and acromegaly respectively; non-mutational epigenetic reprograming through changes in methylation; induction of angiogenesis through alterations of VEGF gene expression; promotion of proliferative signals mediated by EGFR; evasion of growth suppression by disrupting cyclin dependent kinase inhibitors; avoidance of immune destruction; and the promotion of inflammation mediated by alteration of gene expression of immune check points. We also elaborate further on the existence of oncogene induced senescence in pituitary tumors. We conclude that a better understanding of these processes can help us dilucidated why pituitary tumors are so resistant to malignant transformation and can potentially contribute to the development of novel anticancer treatments.
MON-556 Characterizing the Genomic Landscape of MODY in a Latino Population, New Candidate Genes and Insights Beyond MODY 1-14
Abstract Disclosure: A. Moscona-Nissan: None. D. Marrero-Rodríguez: None. S. Andonegui-Elguera: None. E.S. Luna-Ávila: None. F. Martínez-Mendoza: None. S. Vela-Patiño: None. I. Ramírez-Ramos: None. S. Hinojosa-Alvarez: None. J. Hernandez-Perez: None. R.A. Chavez-Santoscoy: None. S. Mercado-Medrez: None. K.S. León-Wu: None. R. De Miguel Ibanez: None. M. Mercado: None. K. Taniguchi-Ponciano: None. A. Ferreira-Hermosillo: None. MODY misdiagnosis remains widespread, existing remarkable variability within genetic variants across populations. While diagnostic tools are based on Caucasian cohorts, Whole Exome Sequencing (WES) studies are needed to identify new genes in non-Caucasians, as up to 77% of patients do not harbor variants of significance in MODY-known genes. In Latino populations, no WES studies have explored MODY’s genomic landscape beyond its canonical genes. We carried WES in 51 participants: 17 patients with MODY, 17 with type 2 diabetes (T2DM) and 17 healthy controls (HC) at a Mexican tertiary care center. MODY diagnosis followed Exeter criteria (score ≥36%) in subjects with minimal or no insulin use. Clinical and genomic data were analyzed, comparing the SNV landscape across groups using Maftools in R, and performing enrichment analyses. We compared genetic variant frequencies of MODY 1-14 and additional genes associated with MODY in other populations using Chi-squared test. Canonical MODY genes used for routine genetic diagnosis showed low discrimination utility, having variants similar frequencies between MODY, T2DM and HC in the Mexican population. We propose 14 candidate genes with variants distinguishing MODY from T2DM and HC, as we detected variants in genes as MAP2K, TPTE, SYT15, PEX5, KCNJ12, KTM2C, OR2A1, RIMBP3, TRIM49C, AQP12B, OR51A4, RIMBP3B, ZNF717, and SUSD2 in 75-100% of MODY cases while absent in T2DM and HC. In MAP2K3, we detected variants c.281G>T (p.Arg94Leu), c.286C>T (p.Arg96Trp), c.304C>T (p.Gln102Ter), and c.164G>C (p.Arg55Thr) in 100% of MODY cases but in none of T2DM/HC cases. In KCNJ12, variant c.128G>A (p.Arg43His) was found in 100% of MODY but 0% of T2DM/HC cases. In TPTE, variants c.1156A>G (p.Lys386Glu) and c.1445A>C (p.Tyr482Ser) were detected in 100% and 94% of MODY cases, respectively, while absent in T2DM/HC. Regarding PEX5, a splicing variant was found in 94% of MODY cases while in 0% of T2DM/HC. Enrichment analysis revealed involvement of the mentioned genes in synaptic vesicle trafficking, insulin/IGF pathway-mitogen activated protein kinase/MAPK cascade, and insulin/IGF pathway-protein kinase B/AKT signaling cascade. This is the first WES study in a MODY Latino population, analyzing beyond canonical genes. Besides improving our understanding of glycemic regulation pathways, candidate genes could serve as diagnostic biomarkers for MODY in Latinos, enabling accurate diagnosis and implementation of personalized therapies for patients. Presentation: Monday, July 14, 2025
THU499 The Mesenchymal Stem Cells Induce Immunosuppressive Microenvironment In Pituitary Tumors
Disclosure: D. Marrero-Rodríguez: None. V. Cortes-Morales: None. K. Taniguchi-Ponciano: None. A. Valenzuela-Perez: None. S. Vela-Patiño: None. A. Cano-Zaragoza: None. F. Martinez-Mendoza: None. J. Kerbel: None. S. Andonegui-Elguera: None. J. Montesinos: None. M. Mercado: None. The tumor microenvironment (TME) includes diverse cellular components such as mesenchymal stem cells (MSC) and immune cells. MSC are a subset of heterogeneous cell populations characterized by the expression of CD105, CD73, and CD90 that can differentiate into chondrocytes, osteoblasts, and adipocytes in vitro. They are known to have immunomodulatory capabilities. Our aim was to isolate and characterize the immunomodulatory capabilities of MSC from pituitary tumors (PT) and non-tumoral gland as well as to describe the immune TME. We isolated and cultivated MSC from LH/FSH-PT and ACTH-PT, as well as non-tumoral pituitary glands. The MSC obtained from PT and non-tumoral gland were co-cultured in the presence of monocytes from healthy donors and their ability to transform into M0, M1 or M2 macrophages was assessed by flow cytometry. The results showed that pituitary tumors derived MSC induce an immunosuppressive M2 macrophage state, by increasing the expression of CD14 and CD206 markers, and decreasing HLA-DR. Upon co-culturing them with naïve T cells, PT MSC were capable inducing a Treg phenotype. To identify PT TME, we performed tumor whole transcriptome characterization and cellular deconvolution using CIBERSORT. Our analysis was indicative of a strong presence of M2 macrophages, TCD4+ and TCD8+ cells, which was confirmed by immunofluorescence, suggesting an immunosuppressive TME. Thus, the MSC immunosuppressive induction correlates directly with immune TME. ACTH-PT derived MSC showed a stronger anti-inflammatory activity than LH/FSH-PT. We also characterized the transcriptomic differences between non-tumoral and PT derived MSC by means of RNAseq. We found differences between the non-tumoral MSC and pituitary tumor derived MSC, but mainly between ACTH- and LH/FSH-PT derived MSC. In conclusion our data suggest that the presence of MSC influence an immunosuppressive tumor microenvironment alongside with tumor cells. Presentation: Thursday, June 15, 2023