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Proteogenomic landscape and clinical characterization of GH-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors.
Yamato, Azusa; Nagano, Hidekazu; Gao, Yue; Matsuda, Tatsuma; Hashimoto, Naoko; Nakayama, Akitoshi; Yamagata, Kazuyuki; Yokoyama, Masataka; Gong, Yingbo; Shi, Xiaoyan; Zhahara, Siti Nurul; Kono, Takashi; Taki, Yuki; Furuki, Naoto; Nishimura, Motoi; Horiguchi, Kentaro; Iwadate, Yasuo; Fukuyo, Masaki; Rahmutulla, Bahityar; Kaneda, Atsushi; Hasegawa, Yoshinori; Kawashima, Yusuke; Ohara, Osamu; Ishikawa, Tetsuo; Kawakami, Eiryo; Nakamura, Yasuhiro; Inoshita, Naoko; Yamada, Shozo; Fukuhara, Noriaki; Nishioka, Hiroshi; Tanaka, Tomoaki.
Afiliación
  • Yamato A; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Nagano H; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Gao Y; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Matsuda T; Department of Neurological Surgery, Chiba University Hospital, Chiba, Japan.
  • Hashimoto N; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Nakayama A; Department of Neurological Surgery, Chiba University Hospital, Chiba, Japan.
  • Yamagata K; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Yokoyama M; Research Institute of Disaster Medicine, Chiba University, Chiba, Japan.
  • Gong Y; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Shi X; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Zhahara SN; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Kono T; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Taki Y; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Furuki N; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Nishimura M; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Horiguchi K; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Iwadate Y; Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Fukuyo M; Division of Laboratory Medicine, Chiba University Hospital, Chiba, Japan.
  • Rahmutulla B; Department of Neurological Surgery, Chiba University Hospital, Chiba, Japan.
  • Kaneda A; Department of Neurological Surgery, Chiba University Hospital, Chiba, Japan.
  • Hasegawa Y; Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Kawashima Y; Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Ohara O; Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Ishikawa T; Department of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
  • Kawakami E; Department of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
  • Nakamura Y; Department of Applied Genomics, Kazusa DNA Research Institute, Chiba, Japan.
  • Inoshita N; Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, Kanagawa, Japan.
  • Yamada S; Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Fukuhara N; Department of Extended Intelligence for Medicine, The Ishii-Ishibashi Laboratory, Keio University School of Medicine, Tokyo, Japan.
  • Nishioka H; Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, Kanagawa, Japan.
  • Tanaka T; Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Commun Biol ; 5(1): 1304, 2022 11 27.
Article en En | MEDLINE | ID: mdl-36435867
The clinical characteristics of growth hormone (GH)-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors (GHomas/somatotroph PitNETs) vary across patients. In this study, we aimed to integrate the genetic alterations, protein expression profiles, transcriptomes, and clinical characteristics of GHomas/somatotroph PitNETs to identify molecules associated with acromegaly characteristics. Targeted capture sequencing and copy number analysis of 36 genes and nontargeted proteomics analysis were performed on fresh-frozen samples from 121 sporadic GHomas/somatotroph PitNETs. Targeted capture sequencing revealed GNAS as the only driver gene, as previously reported. Classification by consensus clustering using both RNA sequencing and proteomics revealed many similarities between the proteome and the transcriptome. Gene ontology analysis was performed for differentially expressed proteins between wild-type and mutant GNAS samples identified by nontargeted proteomics and involved in G protein-coupled receptor (GPCR) pathways. The results suggested that GNAS mutations impact endocrinological features in acromegaly through GPCR pathway induction. ATP2A2 and ARID5B correlated with the GH change rate in the octreotide loading test, and WWC3, SERINC1, and ZFAND3 correlated with the tumor volume change rate after somatostatin analog treatment. These results identified a biological connection between GNAS mutations and the clinical and biochemical characteristics of acromegaly, revealing molecules associated with acromegaly that may affect medical treatment efficacy.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias / Acromegalia / Adenoma / Tumores Neuroendocrinos / Adenoma Hipofisario Secretor de Hormona del Crecimiento / Somatotrofos / Proteogenómica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Commun Biol Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Hipofisarias / Acromegalia / Adenoma / Tumores Neuroendocrinos / Adenoma Hipofisario Secretor de Hormona del Crecimiento / Somatotrofos / Proteogenómica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Commun Biol Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido