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Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Clinical management has improved the prognosis of early HCC, but that of advanced HCC remains poor. Sorafenib, an oral multikinase inhibitor, provided a treatment option for advanced-stage HCC, and prolonged...

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Autores principales: Kohno, Tomoki, Morishita, Asahiro, Iwama, Hisakazu, Fujita, Koji, Tani, Joji, Takuma, Kei, Nakahara, Mai, Oura, Kyoko, Tadokoro, Tomoko, Nomura, Takako, Yoneyama, Hirohito, Kato, Kiyohito, Okano, Keiichi, Suzuki, Yasuyuki, Nishiyama, Akira, Himoto, Takashi, Masaki, Tsutomu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377167/
https://www.ncbi.nlm.nih.gov/pubmed/32724415
http://dx.doi.org/10.3892/ol.2020.11696
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author Kohno, Tomoki
Morishita, Asahiro
Iwama, Hisakazu
Fujita, Koji
Tani, Joji
Takuma, Kei
Nakahara, Mai
Oura, Kyoko
Tadokoro, Tomoko
Nomura, Takako
Yoneyama, Hirohito
Kato, Kiyohito
Okano, Keiichi
Suzuki, Yasuyuki
Nishiyama, Akira
Himoto, Takashi
Masaki, Tsutomu
author_facet Kohno, Tomoki
Morishita, Asahiro
Iwama, Hisakazu
Fujita, Koji
Tani, Joji
Takuma, Kei
Nakahara, Mai
Oura, Kyoko
Tadokoro, Tomoko
Nomura, Takako
Yoneyama, Hirohito
Kato, Kiyohito
Okano, Keiichi
Suzuki, Yasuyuki
Nishiyama, Akira
Himoto, Takashi
Masaki, Tsutomu
author_sort Kohno, Tomoki
collection PubMed
description Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Clinical management has improved the prognosis of early HCC, but that of advanced HCC remains poor. Sorafenib, an oral multikinase inhibitor, provided a treatment option for advanced-stage HCC, and prolonged the survival and inhibited tumor progression as first-line therapy in patients with advanced HCC. In this study, we investigated if specific microRNAs could act as predictive biomarkers of sorafenib effectiveness and indicate the best time to switch to second-line therapies. Sorafenib inhibited the proliferation of the Li-7, Hep3B, HepG2 and Huh7 liver cancer cell lines (effective group), but not that of the HLE, HLF and ALEX cancer cell lines (non-effective group). A microRNA (miRNA/miR) analysis was performed comparing sorafenib-effective and non-effective cells lines as well as serum samples from patients with HCC from sorafenib-effective (complete response/partial response) and -non-effective (progressive disease) groups before sorafenib administration and detected three differentially-expressed miRNAs that were common among the in vivo and in vitro samples. The increase rate (effective/non-effective) of hsa-miR-30d in the medium was higher than that in the cancer cells. hsa-miR-30d was highly expressed in the serum and exosomes of patients with HCC in the effective group when compared to those of the non-effective group. Additionally, the hsa-miR-30d expression in the medium of cancer cell lines was highly upregulated in the effective group compared with the non-effective group. These results suggested that hsa-miR-30d might be secreted by the cancer cells to the serum through the exosomes. We identified a specific circulating miRNA that is related to refractory HCC under sorafenib therapy. Therefore, hsa-miR-30d might serve as a predictive biomarker for the efficacy of sorafenib therapy in HCC.
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spelling pubmed-73771672020-07-27 Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma Kohno, Tomoki Morishita, Asahiro Iwama, Hisakazu Fujita, Koji Tani, Joji Takuma, Kei Nakahara, Mai Oura, Kyoko Tadokoro, Tomoko Nomura, Takako Yoneyama, Hirohito Kato, Kiyohito Okano, Keiichi Suzuki, Yasuyuki Nishiyama, Akira Himoto, Takashi Masaki, Tsutomu Oncol Lett Articles Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Clinical management has improved the prognosis of early HCC, but that of advanced HCC remains poor. Sorafenib, an oral multikinase inhibitor, provided a treatment option for advanced-stage HCC, and prolonged the survival and inhibited tumor progression as first-line therapy in patients with advanced HCC. In this study, we investigated if specific microRNAs could act as predictive biomarkers of sorafenib effectiveness and indicate the best time to switch to second-line therapies. Sorafenib inhibited the proliferation of the Li-7, Hep3B, HepG2 and Huh7 liver cancer cell lines (effective group), but not that of the HLE, HLF and ALEX cancer cell lines (non-effective group). A microRNA (miRNA/miR) analysis was performed comparing sorafenib-effective and non-effective cells lines as well as serum samples from patients with HCC from sorafenib-effective (complete response/partial response) and -non-effective (progressive disease) groups before sorafenib administration and detected three differentially-expressed miRNAs that were common among the in vivo and in vitro samples. The increase rate (effective/non-effective) of hsa-miR-30d in the medium was higher than that in the cancer cells. hsa-miR-30d was highly expressed in the serum and exosomes of patients with HCC in the effective group when compared to those of the non-effective group. Additionally, the hsa-miR-30d expression in the medium of cancer cell lines was highly upregulated in the effective group compared with the non-effective group. These results suggested that hsa-miR-30d might be secreted by the cancer cells to the serum through the exosomes. We identified a specific circulating miRNA that is related to refractory HCC under sorafenib therapy. Therefore, hsa-miR-30d might serve as a predictive biomarker for the efficacy of sorafenib therapy in HCC. D.A. Spandidos 2020-08 2020-06-05 /pmc/articles/PMC7377167/ /pubmed/32724415 http://dx.doi.org/10.3892/ol.2020.11696 Text en Copyright: © Kohno et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Kohno, Tomoki
Morishita, Asahiro
Iwama, Hisakazu
Fujita, Koji
Tani, Joji
Takuma, Kei
Nakahara, Mai
Oura, Kyoko
Tadokoro, Tomoko
Nomura, Takako
Yoneyama, Hirohito
Kato, Kiyohito
Okano, Keiichi
Suzuki, Yasuyuki
Nishiyama, Akira
Himoto, Takashi
Masaki, Tsutomu
Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
title Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
title_full Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
title_fullStr Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
title_full_unstemmed Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
title_short Comprehensive analysis of circulating microRNAs as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
title_sort comprehensive analysis of circulating micrornas as predictive biomarkers for sorafenib therapy outcome in hepatocellular carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377167/
https://www.ncbi.nlm.nih.gov/pubmed/32724415
http://dx.doi.org/10.3892/ol.2020.11696
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