Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy
(2022) In Scientific Reports 12.- Abstract
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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2022-12
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Scientific Reports
- volume
- 12
- article number
- 4513
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:35296733
- scopus:85126313110
- ISSN
- 2045-2322
- DOI
- 10.1038/s41598-022-08503-7
- language
- English
- LU publication?
- yes
- id
- 8d9e166c-4890-4fba-b9b2-e7b6117fdd6d
- date added to LUP
- 2022-06-08 11:53:25
- date last changed
- 2024-06-13 13:55:11
@article{8d9e166c-4890-4fba-b9b2-e7b6117fdd6d, abstract = {{<p>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.</p>}}, author = {{Uno, Kaname and Yoshikawa, Nobuhisa and Tazaki, Akira and Ohnuma, Shoko and Kitami, Kazuhisa and Iyoshi, Shohei and Mogi, Kazumasa and Yoshihara, Masato and Koya, Yoshihiro and Sugiyama, Mai and Tamauchi, Satoshi and Ikeda, Yoshiki and Yokoi, Akira and Kikkawa, Fumitaka and Kato, Masashi and Kajiyama, Hiroaki}}, issn = {{2045-2322}}, language = {{eng}}, publisher = {{Nature Publishing Group}}, series = {{Scientific Reports}}, title = {{Significance of platinum distribution to predict platinum resistance in ovarian cancer after platinum treatment in neoadjuvant chemotherapy}}, url = {{http://dx.doi.org/10.1038/s41598-022-08503-7}}, doi = {{10.1038/s41598-022-08503-7}}, volume = {{12}}, year = {{2022}}, }