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Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer

التفاصيل البيبلوغرافية
العنوان: Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
المؤلفون: Yosuke Iwatate, Hajime Yokota, Isamu Hoshino, Fumitaka Ishige, Naoki Kuwayama, Makiko Itami, Yasukuni Mori, Satoshi Chiba, Hidehito Arimitsu, Hiroo Yanagibashi, Wataru Takayama, Takashi Uno, Jason Lin, Yuki Nakamura, Yasutoshi Tatsumi, Osamu Shimozato, Hiroki Nagase
المصدر: PLoS ONE, Vol 17, Iss 6 (2022)
بيانات النشر: Public Library of Science (PLoS), 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Transcriptomic analysis of cancer samples helps identify the mechanism and molecular markers of cancer. However, transcriptomic analyses of pancreatic cancer from the Japanese population are lacking. Hence, in this study, we performed RNA sequencing of fresh and frozen pancreatic cancer tissues from 12 Japanese patients to identify genes critical for the clinical pathology of pancreatic cancer among the Japanese population. Additionally, we performed immunostaining of 107 pancreatic cancer samples to verify the results of RNA sequencing. Bioinformatics analysis of RNA sequencing data identified ITGB1 (Integrin beta 1) as an important gene for pancreatic cancer metastasis, progression, and prognosis. ITGB1 expression was verified using immunostaining. The results of RNA sequencing and immunostaining showed a significant correlation (r = 0.552, p = 0.118) in ITGB1 expression. Moreover, the ITGB1 high-expression group was associated with a significantly worse prognosis (p = 0.035) and recurrence rate (p = 0.028). We believe that ITGB1 may be used as a drug target for pancreatic cancer in the future.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159604/?tool=EBI; https://doaj.org/toc/1932-6203
URL الوصول: https://doaj.org/article/531c38c3c0214a17b9031bed43148906
رقم الأكسشن: edsdoj.531c38c3c0214a17b9031bed43148906
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203