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

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...

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Autores principales: Iwatate, Yosuke, Yokota, Hajime, Hoshino, Isamu, Ishige, Fumitaka, Kuwayama, Naoki, Itami, Makiko, Mori, Yasukuni, Chiba, Satoshi, Arimitsu, Hidehito, Yanagibashi, Hiroo, Takayama, Wataru, Uno, Takashi, Lin, Jason, Nakamura, Yuki, Tatsumi, Yasutoshi, Shimozato, Osamu, Nagase, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159604/
https://www.ncbi.nlm.nih.gov/pubmed/35648752
http://dx.doi.org/10.1371/journal.pone.0268630
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author Iwatate, Yosuke
Yokota, Hajime
Hoshino, Isamu
Ishige, Fumitaka
Kuwayama, Naoki
Itami, Makiko
Mori, Yasukuni
Chiba, Satoshi
Arimitsu, Hidehito
Yanagibashi, Hiroo
Takayama, Wataru
Uno, Takashi
Lin, Jason
Nakamura, Yuki
Tatsumi, Yasutoshi
Shimozato, Osamu
Nagase, Hiroki
author_facet Iwatate, Yosuke
Yokota, Hajime
Hoshino, Isamu
Ishige, Fumitaka
Kuwayama, Naoki
Itami, Makiko
Mori, Yasukuni
Chiba, Satoshi
Arimitsu, Hidehito
Yanagibashi, Hiroo
Takayama, Wataru
Uno, Takashi
Lin, Jason
Nakamura, Yuki
Tatsumi, Yasutoshi
Shimozato, Osamu
Nagase, Hiroki
author_sort Iwatate, Yosuke
collection PubMed
description 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.
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spelling pubmed-91596042022-06-02 Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer Iwatate, Yosuke Yokota, Hajime Hoshino, Isamu Ishige, Fumitaka Kuwayama, Naoki Itami, Makiko Mori, Yasukuni Chiba, Satoshi Arimitsu, Hidehito Yanagibashi, Hiroo Takayama, Wataru Uno, Takashi Lin, Jason Nakamura, Yuki Tatsumi, Yasutoshi Shimozato, Osamu Nagase, Hiroki PLoS One Research Article 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. Public Library of Science 2022-06-01 /pmc/articles/PMC9159604/ /pubmed/35648752 http://dx.doi.org/10.1371/journal.pone.0268630 Text en © 2022 Iwatate et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Iwatate, Yosuke
Yokota, Hajime
Hoshino, Isamu
Ishige, Fumitaka
Kuwayama, Naoki
Itami, Makiko
Mori, Yasukuni
Chiba, Satoshi
Arimitsu, Hidehito
Yanagibashi, Hiroo
Takayama, Wataru
Uno, Takashi
Lin, Jason
Nakamura, Yuki
Tatsumi, Yasutoshi
Shimozato, Osamu
Nagase, Hiroki
Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
title Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
title_full Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
title_fullStr Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
title_full_unstemmed Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
title_short Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer
title_sort transcriptomic analysis reveals high itgb1 expression as a predictor for poor prognosis of pancreatic cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159604/
https://www.ncbi.nlm.nih.gov/pubmed/35648752
http://dx.doi.org/10.1371/journal.pone.0268630
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