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Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma

Biomarkers for optimizing the outcome of treatment with lenvatinib in patients with advanced hepatocellular carcinoma remain to be established despite intensive and comprehensive genomic research. Lenvatinib is characterized by its prominent inhibitory potency for fibroblast growth factor receptor (...

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Autores principales: Yamauchi, Masami, Ono, Atsushi, Ishikawa, Akira, Kodama, Kenichiro, Uchikawa, Shinsuke, Hatooka, Haruna, Zhang, Peiyi, Teraoka, Yuji, Morio, Kei, Fujino, Hatsue, Nakahara, Takashi, Murakami, Eisuke, Miki, Daiki, Kawaoka, Tomokazu, Tsuge, Masataka, Hiramatsu, Akira, Imamura, Michio, Hayes, Clair Nelson, Fujita, Masashi, Nakagawa, Hidewaki, Yasui, Wataru, Aikata, Hiroshi, Chayama, Kazuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263646/
https://www.ncbi.nlm.nih.gov/pubmed/32677805
http://dx.doi.org/10.14309/ctg.0000000000000179
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author Yamauchi, Masami
Ono, Atsushi
Ishikawa, Akira
Kodama, Kenichiro
Uchikawa, Shinsuke
Hatooka, Haruna
Zhang, Peiyi
Teraoka, Yuji
Morio, Kei
Fujino, Hatsue
Nakahara, Takashi
Murakami, Eisuke
Miki, Daiki
Kawaoka, Tomokazu
Tsuge, Masataka
Hiramatsu, Akira
Imamura, Michio
Hayes, Clair Nelson
Fujita, Masashi
Nakagawa, Hidewaki
Yasui, Wataru
Aikata, Hiroshi
Chayama, Kazuaki
author_facet Yamauchi, Masami
Ono, Atsushi
Ishikawa, Akira
Kodama, Kenichiro
Uchikawa, Shinsuke
Hatooka, Haruna
Zhang, Peiyi
Teraoka, Yuji
Morio, Kei
Fujino, Hatsue
Nakahara, Takashi
Murakami, Eisuke
Miki, Daiki
Kawaoka, Tomokazu
Tsuge, Masataka
Hiramatsu, Akira
Imamura, Michio
Hayes, Clair Nelson
Fujita, Masashi
Nakagawa, Hidewaki
Yasui, Wataru
Aikata, Hiroshi
Chayama, Kazuaki
author_sort Yamauchi, Masami
collection PubMed
description Biomarkers for optimizing the outcome of treatment with lenvatinib in patients with advanced hepatocellular carcinoma remain to be established despite intensive and comprehensive genomic research. Lenvatinib is characterized by its prominent inhibitory potency for fibroblast growth factor receptor (FGFR) 4 compared with earlier tyrosine kinase inhibitors. Thus, in this study, we focused on simplified quantification of FGFR4 in tumors as a potential predictive indicator. METHODS: According to The Cancer Genome Atlas data set curation, FGFR4 messenger RNA is broadly overexpressed in hepatocellular carcinoma in the absence of gene alteration. Gene set enrichment analysis revealed that the aggressiveness of the tumor was closely related to the FGFR4 level. To confirm the relationship between the benefits of lenvatinib and tumor addiction to the FGFR4 pathway, we analyzed protein levels in tumors and peripheral blood obtained from 57 prospectively registered patients treated with lenvatinib. RESULTS: Positive immunohistochemistry (>10% of tumor cells) for FGFR4 in biopsy samples before treatment was associated with a longer progression-free survival (2.5 vs 5.5 months, P = 0.01) and a favorable objective response rate (31% vs 81%, P = 0.006). By contrast, the concentration of soluble FGFR4 in peripheral blood as measured by an enzyme-linked immunosorbent assay was not associated with survival outcomes, because its fluctuations reflect hepatic fibrosis. Additional RNA sequencing analysis using archival surgical specimens (n = 90) suggested that alternative RNA splicing of FGFR4 in cancer may also explain this discrepancy. DISCUSSION: The tumor FGFR4 level was an independent predictor of response to lenvatinib.
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spelling pubmed-72636462020-06-29 Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma Yamauchi, Masami Ono, Atsushi Ishikawa, Akira Kodama, Kenichiro Uchikawa, Shinsuke Hatooka, Haruna Zhang, Peiyi Teraoka, Yuji Morio, Kei Fujino, Hatsue Nakahara, Takashi Murakami, Eisuke Miki, Daiki Kawaoka, Tomokazu Tsuge, Masataka Hiramatsu, Akira Imamura, Michio Hayes, Clair Nelson Fujita, Masashi Nakagawa, Hidewaki Yasui, Wataru Aikata, Hiroshi Chayama, Kazuaki Clin Transl Gastroenterol Article Biomarkers for optimizing the outcome of treatment with lenvatinib in patients with advanced hepatocellular carcinoma remain to be established despite intensive and comprehensive genomic research. Lenvatinib is characterized by its prominent inhibitory potency for fibroblast growth factor receptor (FGFR) 4 compared with earlier tyrosine kinase inhibitors. Thus, in this study, we focused on simplified quantification of FGFR4 in tumors as a potential predictive indicator. METHODS: According to The Cancer Genome Atlas data set curation, FGFR4 messenger RNA is broadly overexpressed in hepatocellular carcinoma in the absence of gene alteration. Gene set enrichment analysis revealed that the aggressiveness of the tumor was closely related to the FGFR4 level. To confirm the relationship between the benefits of lenvatinib and tumor addiction to the FGFR4 pathway, we analyzed protein levels in tumors and peripheral blood obtained from 57 prospectively registered patients treated with lenvatinib. RESULTS: Positive immunohistochemistry (>10% of tumor cells) for FGFR4 in biopsy samples before treatment was associated with a longer progression-free survival (2.5 vs 5.5 months, P = 0.01) and a favorable objective response rate (31% vs 81%, P = 0.006). By contrast, the concentration of soluble FGFR4 in peripheral blood as measured by an enzyme-linked immunosorbent assay was not associated with survival outcomes, because its fluctuations reflect hepatic fibrosis. Additional RNA sequencing analysis using archival surgical specimens (n = 90) suggested that alternative RNA splicing of FGFR4 in cancer may also explain this discrepancy. DISCUSSION: The tumor FGFR4 level was an independent predictor of response to lenvatinib. Wolters Kluwer 2020-05-22 /pmc/articles/PMC7263646/ /pubmed/32677805 http://dx.doi.org/10.14309/ctg.0000000000000179 Text en © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Yamauchi, Masami
Ono, Atsushi
Ishikawa, Akira
Kodama, Kenichiro
Uchikawa, Shinsuke
Hatooka, Haruna
Zhang, Peiyi
Teraoka, Yuji
Morio, Kei
Fujino, Hatsue
Nakahara, Takashi
Murakami, Eisuke
Miki, Daiki
Kawaoka, Tomokazu
Tsuge, Masataka
Hiramatsu, Akira
Imamura, Michio
Hayes, Clair Nelson
Fujita, Masashi
Nakagawa, Hidewaki
Yasui, Wataru
Aikata, Hiroshi
Chayama, Kazuaki
Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma
title Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma
title_full Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma
title_fullStr Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma
title_full_unstemmed Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma
title_short Tumor Fibroblast Growth Factor Receptor 4 Level Predicts the Efficacy of Lenvatinib in Patients With Advanced Hepatocellular Carcinoma
title_sort tumor fibroblast growth factor receptor 4 level predicts the efficacy of lenvatinib in patients with advanced hepatocellular carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263646/
https://www.ncbi.nlm.nih.gov/pubmed/32677805
http://dx.doi.org/10.14309/ctg.0000000000000179
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