Cargando…
Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy
Most patients with ovarian cancer experience recurrence and develop resistance to platinum-based agents. The diagnosis of platinum resistance based on the platinum-free interval is not always accurate and timely in clinical settings. Herein, we used laser ablation inductively coupled plasma mass spe...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927415/ https://www.ncbi.nlm.nih.gov/pubmed/35296733 http://dx.doi.org/10.1038/s41598-022-08503-7 |
_version_ | 1784670441569255424 |
---|---|
author | Uno, Kaname Yoshikawa, Nobuhisa Tazaki, Akira Ohnuma, Shoko Kitami, Kazuhisa Iyoshi, Shohei Mogi, Kazumasa Yoshihara, Masato Koya, Yoshihiro Sugiyama, Mai Tamauchi, Satoshi Ikeda, Yoshiki Yokoi, Akira Kikkawa, Fumitaka Kato, Masashi Kajiyama, Hiroaki |
author_facet | Uno, Kaname Yoshikawa, Nobuhisa Tazaki, Akira Ohnuma, Shoko Kitami, Kazuhisa Iyoshi, Shohei Mogi, Kazumasa Yoshihara, Masato Koya, Yoshihiro Sugiyama, Mai Tamauchi, Satoshi Ikeda, Yoshiki Yokoi, Akira Kikkawa, Fumitaka Kato, Masashi Kajiyama, Hiroaki |
author_sort | Uno, Kaname |
collection | PubMed |
description | Most patients with ovarian cancer experience recurrence and develop resistance to platinum-based agents. The diagnosis of platinum resistance based on the platinum-free interval is not always accurate and timely in clinical settings. Herein, we used laser ablation inductively coupled plasma mass spectrometry to visualize the platinum distribution in the ovarian cancer tissues at the time of interval debulking surgery after neoadjuvant chemotherapy in 27patients with advanced high-grade serous ovarian cancer. Two distinct patterns of platinum distribution were observed. Type A (n = 16): platinum accumulation at the adjacent stroma but little in the tumor; type B (n = 11): even distribution of platinum throughout the tumor and adjacent stroma. The type A patients treated post-surgery with platinum-based adjuvant chemotherapy showed significantly shorter periods of recurrence after the last platinum-based chemotherapy session (p = 0.020) and were diagnosed with “platinum-resistant recurrence”. Moreover, type A was significantly correlated with worse prognosis (p = 0.031). Post-surgery treatment with non-platinum-based chemotherapy could be effective for the patients classified as type A. Our findings indicate that the platinum resistance can be predicted prior to recurrence, based on the platinum distribution; this could contribute to the selection of more appropriate adjuvant chemotherapy, which may lead to improves prognoses. |
format | Online Article Text |
id | pubmed-8927415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89274152022-03-17 Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy Uno, Kaname Yoshikawa, Nobuhisa Tazaki, Akira Ohnuma, Shoko Kitami, Kazuhisa Iyoshi, Shohei Mogi, Kazumasa Yoshihara, Masato Koya, Yoshihiro Sugiyama, Mai Tamauchi, Satoshi Ikeda, Yoshiki Yokoi, Akira Kikkawa, Fumitaka Kato, Masashi Kajiyama, Hiroaki Sci Rep Article Most patients with ovarian cancer experience recurrence and develop resistance to platinum-based agents. The diagnosis of platinum resistance based on the platinum-free interval is not always accurate and timely in clinical settings. Herein, we used laser ablation inductively coupled plasma mass spectrometry to visualize the platinum distribution in the ovarian cancer tissues at the time of interval debulking surgery after neoadjuvant chemotherapy in 27patients with advanced high-grade serous ovarian cancer. Two distinct patterns of platinum distribution were observed. Type A (n = 16): platinum accumulation at the adjacent stroma but little in the tumor; type B (n = 11): even distribution of platinum throughout the tumor and adjacent stroma. The type A patients treated post-surgery with platinum-based adjuvant chemotherapy showed significantly shorter periods of recurrence after the last platinum-based chemotherapy session (p = 0.020) and were diagnosed with “platinum-resistant recurrence”. Moreover, type A was significantly correlated with worse prognosis (p = 0.031). Post-surgery treatment with non-platinum-based chemotherapy could be effective for the patients classified as type A. Our findings indicate that the platinum resistance can be predicted prior to recurrence, based on the platinum distribution; this could contribute to the selection of more appropriate adjuvant chemotherapy, which may lead to improves prognoses. Nature Publishing Group UK 2022-03-16 /pmc/articles/PMC8927415/ /pubmed/35296733 http://dx.doi.org/10.1038/s41598-022-08503-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Uno, Kaname Yoshikawa, Nobuhisa Tazaki, Akira Ohnuma, Shoko Kitami, Kazuhisa Iyoshi, Shohei Mogi, Kazumasa Yoshihara, Masato Koya, Yoshihiro Sugiyama, Mai Tamauchi, Satoshi Ikeda, Yoshiki Yokoi, Akira Kikkawa, Fumitaka Kato, Masashi Kajiyama, Hiroaki Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
title | Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
title_full | Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
title_fullStr | Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
title_full_unstemmed | Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
title_short | Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
title_sort | significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927415/ https://www.ncbi.nlm.nih.gov/pubmed/35296733 http://dx.doi.org/10.1038/s41598-022-08503-7 |
work_keys_str_mv | AT unokaname significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT yoshikawanobuhisa significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT tazakiakira significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT ohnumashoko significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT kitamikazuhisa significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT iyoshishohei significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT mogikazumasa significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT yoshiharamasato significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT koyayoshihiro significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT sugiyamamai significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT tamauchisatoshi significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT ikedayoshiki significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT yokoiakira significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT kikkawafumitaka significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT katomasashi significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy AT kajiyamahiroaki significanceofplatinumdistributiontopredictplatinumresistanceinovariancancerafterplatinumtreatmentinneoadjuvantchemotherapy |