Literature DB >> 33472173

Genomic and transcriptomic analysis of pituitary adenomas reveals the impacts of copy number variations on gene expression and clinical prognosis among prolactin-secreting subtype.

Yiyuan Chen1, Hua Gao1, Weiyan Xie1, Jing Guo1, Qiuyue Fang1, Peng Zhao2, Chunhui Liu2, Haibo Zhu2, Zhuang Wang3, Jichao Wang4, Songbai Gui2,5,6, Yazhuo Zhang1,2,5,6, Chuzhong Li1,2,5,6.   

Abstract

Pituitary adenomas (PAs) are slow growing and benign primary intracranial tumors that often cause occupying effects or endocrine symptoms. PAs can be classified into various subtypes according to hormone secretion. Although widespread transcriptional alterations that cause aberrant hormone secretion have been characterized, the impact of genomic variations on transcriptional alterations is unclear due to the rare occurrence of single-nucleotide variations in PA. In this study, we performed whole-genome sequencing (WGS) on 76 PA samples across three clinical subtypes (PRL-PAs; GH-PAs, and NFPAs); transcriptome sequencing (RNA-seq) of 54 samples across these subtypes was also conducted. Nine normal pituitary tissues were used as controls. Common and subtype-specific transcriptional alterations in PAs were identified. Strikingly, widespread genomic copy number amplifications were discovered for PRL-PAs, which are causally involved in transcriptomic changes in this subtype. Moreover, we found that the high copy number variations (CNVs) in PRL-PA cause increased prolactin production, drug resistance and proliferative capacity, potentially through key genes with copy number amplification and transcriptional activation, such as BCAT1. This study provides insight into how genomic CNVs affect the transcriptome and clinical outcomes of PRL-PA and sheds light on the development of potential therapeutics for aberrantly activated targets.

Entities:  

Keywords:  CNV; WGS; bromocriptine resistance; pituitary adenoma

Mesh:

Substances:

Year:  2020        PMID: 33472173      PMCID: PMC7834992          DOI: 10.18632/aging.202304

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  37 in total

1.  Activation of DRD5 (dopamine receptor D5) inhibits tumor growth by autophagic cell death.

Authors:  Zhi Gen Leng; Shao Jian Lin; Ze Rui Wu; Yu Hang Guo; Lin Cai; Han Bing Shang; Hao Tang; Ya Jun Xue; Mei Qing Lou; Wenxiu Zhao; Wei-Dong Le; Wei Guo Zhao; Xun Zhang; Zhe Bao Wu
Journal:  Autophagy       Date:  2017-06-14       Impact factor: 16.016

Review 2.  Gene and protein expression in pituitary corticotroph adenomas: a systematic review of the literature.

Authors:  Justin Seltzer; Charles E Ashton; Thomas C Scotton; Dhiraj Pangal; John D Carmichael; Gabriel Zada
Journal:  Neurosurg Focus       Date:  2015-02       Impact factor: 4.047

3.  Novel molecular signaling and classification of human clinically nonfunctional pituitary adenomas identified by gene expression profiling and proteomic analyses.

Authors:  Carlos S Moreno; Chheng-Orn Evans; Xianquan Zhan; Mammerhi Okor; Dominic M Desiderio; Nelson M Oyesiku
Journal:  Cancer Res       Date:  2005-11-15       Impact factor: 12.701

4.  Co-expression network analysis of differentially expressed genes associated with metastasis in prolactin pituitary tumors.

Authors:  Wei Zhang; Zhenle Zang; Yechun Song; Hui Yang; Qing Yin
Journal:  Mol Med Rep       Date:  2014-04-15       Impact factor: 2.952

5.  GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers.

Authors:  Craig H Mermel; Steven E Schumacher; Barbara Hill; Matthew L Meyerson; Rameen Beroukhim; Gad Getz
Journal:  Genome Biol       Date:  2011-04-28       Impact factor: 13.583

6.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

7.  Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression.

Authors:  Etienne Becht; Nicolas A Giraldo; Laetitia Lacroix; Bénédicte Buttard; Nabila Elarouci; Florent Petitprez; Janick Selves; Pierre Laurent-Puig; Catherine Sautès-Fridman; Wolf H Fridman; Aurélien de Reyniès
Journal:  Genome Biol       Date:  2016-10-20       Impact factor: 13.583

8.  Signal transducer and activator of transcription 3 (STAT3) promoter methylation and expression in pituitary adenoma.

Authors:  Indre Valiulyte; Giedrius Steponaitis; Daina Skiriute; Arimantas Tamasauskas; Paulina Vaitkiene
Journal:  BMC Med Genet       Date:  2017-07-14       Impact factor: 2.103

Review 9.  Glucose Abnormalities Associated to Prolactin Secreting Pituitary Adenomas.

Authors:  Renata S Auriemma; Dario De Alcubierre; Rosa Pirchio; Rosario Pivonello; Annamaria Colao
Journal:  Front Endocrinol (Lausanne)       Date:  2019-05-22       Impact factor: 5.555

10.  The genome-wide mutational landscape of pituitary adenomas.

Authors:  Zhi-Jian Song; Zachary J Reitman; Zeng-Yi Ma; Jian-Hua Chen; Qi-Lin Zhang; Xue-Fei Shou; Chuan-Xin Huang; Yong-Fei Wang; Shi-Qi Li; Ying Mao; Liang-Fu Zhou; Bao-Feng Lian; Hai Yan; Yong-Yong Shi; Yao Zhao
Journal:  Cell Res       Date:  2016-09-27       Impact factor: 25.617

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  1 in total

1.  Presence of regulatory T-cells in endometrial cancer predicts poorer overall survival and promotes progression of tumor cells.

Authors:  Thomas Kolben; Mareike Mannewitz; Carolin Perleberg; Konstantin Schnell; David Anz; Laura Hahn; Sarah Meister; Elisa Schmoeckel; Alexander Burges; Bastian Czogalla; Anna Hester; Sven Mahner; Mirjana Kessler; Udo Jeschke; Stefanie Corradini; Fabian Trillsch; Susanne Beyer
Journal:  Cell Oncol (Dordr)       Date:  2022-09-13       Impact factor: 7.051

  1 in total

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