m+Medelevator.RU
← Поиск публикаций
Communications biology · 2022

Proteogenomic landscape and clinical characterization of GH-producing pituitary adenomas/somatotroph pituitary neuroendocrine tumors.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

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

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты