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Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients

BACKGROUND: Neoadjuvant chemotherapy (NAC) using platinum and irinotecan (CPT-11) followed by radical excision has been shown to be a valid treatment for locally advanced squamous cervical cancer (SCC) patients. However, in NAC-resistant or NAC-toxic cases, surgical treatment or radiotherapy might b...

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Autores principales: Horikawa, Naoki, Baba, Tsukasa, Matsumura, Noriomi, Murakami, Ryusuke, Abiko, Kaoru, Hamanishi, Junzo, Yamaguchi, Ken, Koshiyama, Masafumi, Yoshioka, Yumiko, Konishi, Ikuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4612400/
https://www.ncbi.nlm.nih.gov/pubmed/26482555
http://dx.doi.org/10.1186/s12885-015-1703-1
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author Horikawa, Naoki
Baba, Tsukasa
Matsumura, Noriomi
Murakami, Ryusuke
Abiko, Kaoru
Hamanishi, Junzo
Yamaguchi, Ken
Koshiyama, Masafumi
Yoshioka, Yumiko
Konishi, Ikuo
author_facet Horikawa, Naoki
Baba, Tsukasa
Matsumura, Noriomi
Murakami, Ryusuke
Abiko, Kaoru
Hamanishi, Junzo
Yamaguchi, Ken
Koshiyama, Masafumi
Yoshioka, Yumiko
Konishi, Ikuo
author_sort Horikawa, Naoki
collection PubMed
description BACKGROUND: Neoadjuvant chemotherapy (NAC) using platinum and irinotecan (CPT-11) followed by radical excision has been shown to be a valid treatment for locally advanced squamous cervical cancer (SCC) patients. However, in NAC-resistant or NAC-toxic cases, surgical treatment or radiotherapy might be delayed and the prognosis may be adversely affected. Therefore, it is important to establish a method to predict the efficacy of NAC. METHODS: Gene expression microarrays of SCC tissue samples (n = 12) and UGT1A1 genotyping of blood samples (n = 23) were investigated in terms of their association with NAC sensitivity. Gene expression and drug sensitivity of SCC cell lines were analyzed for validation. RESULTS: Microarray analysis revealed that the glutathione metabolic pathway (GMP) was significantly up-regulated in NAC-resistant patients (p < 0.01), and there was a positive correlation between 50 % growth inhibitory concentrations of CPT-11 and predictive scores of GMP activation in SCC cells (r = 0.32, p < 0.05). The intracellular glutathione (GSH) concentration showed a highly positive correlation with GMP scores among 4 SCC cell lines (r = 0.72). UGT1A1 genotyping revealed that patients with UGT1A1 polymorphisms exhibited significantly higher response rates to NAC than those with the wild-type (79.5 vs. 49.5 %, respectively, p < 0.05). CONCLUSIONS: These results indicate that GMP scores of cancerous tissue combined with UGT1A1 genotyping of blood samples may serve as highly potent markers for predicting the efficacy of NAC for individual SCC patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1703-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-46124002015-10-22 Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients Horikawa, Naoki Baba, Tsukasa Matsumura, Noriomi Murakami, Ryusuke Abiko, Kaoru Hamanishi, Junzo Yamaguchi, Ken Koshiyama, Masafumi Yoshioka, Yumiko Konishi, Ikuo BMC Cancer Research Article BACKGROUND: Neoadjuvant chemotherapy (NAC) using platinum and irinotecan (CPT-11) followed by radical excision has been shown to be a valid treatment for locally advanced squamous cervical cancer (SCC) patients. However, in NAC-resistant or NAC-toxic cases, surgical treatment or radiotherapy might be delayed and the prognosis may be adversely affected. Therefore, it is important to establish a method to predict the efficacy of NAC. METHODS: Gene expression microarrays of SCC tissue samples (n = 12) and UGT1A1 genotyping of blood samples (n = 23) were investigated in terms of their association with NAC sensitivity. Gene expression and drug sensitivity of SCC cell lines were analyzed for validation. RESULTS: Microarray analysis revealed that the glutathione metabolic pathway (GMP) was significantly up-regulated in NAC-resistant patients (p < 0.01), and there was a positive correlation between 50 % growth inhibitory concentrations of CPT-11 and predictive scores of GMP activation in SCC cells (r = 0.32, p < 0.05). The intracellular glutathione (GSH) concentration showed a highly positive correlation with GMP scores among 4 SCC cell lines (r = 0.72). UGT1A1 genotyping revealed that patients with UGT1A1 polymorphisms exhibited significantly higher response rates to NAC than those with the wild-type (79.5 vs. 49.5 %, respectively, p < 0.05). CONCLUSIONS: These results indicate that GMP scores of cancerous tissue combined with UGT1A1 genotyping of blood samples may serve as highly potent markers for predicting the efficacy of NAC for individual SCC patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1703-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-19 /pmc/articles/PMC4612400/ /pubmed/26482555 http://dx.doi.org/10.1186/s12885-015-1703-1 Text en © Horikawa et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Horikawa, Naoki
Baba, Tsukasa
Matsumura, Noriomi
Murakami, Ryusuke
Abiko, Kaoru
Hamanishi, Junzo
Yamaguchi, Ken
Koshiyama, Masafumi
Yoshioka, Yumiko
Konishi, Ikuo
Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
title Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
title_full Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
title_fullStr Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
title_full_unstemmed Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
title_short Genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
title_sort genomic profile predicts the efficacy of neoadjuvant chemotherapy for cervical cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4612400/
https://www.ncbi.nlm.nih.gov/pubmed/26482555
http://dx.doi.org/10.1186/s12885-015-1703-1
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