Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1782396165259526144 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4612400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT horikawanaoki genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT babatsukasa genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT matsumuranoriomi genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT murakamiryusuke genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT abikokaoru genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT hamanishijunzo genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT yamaguchiken genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT koshiyamamasafumi genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT yoshiokayumiko genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients AT konishiikuo genomicprofilepredictstheefficacyofneoadjuvantchemotherapyforcervicalcancerpatients |