Cargando…
Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma
BACKGROUND: This study aimed to evaluate whether hypereosinophilia is a clinical biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma treated with nivolumab plus ipilimumab. METHODS: This was a retrospective cohort study conducted at Jichi Medical Un...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040214/ https://www.ncbi.nlm.nih.gov/pubmed/35468815 http://dx.doi.org/10.1186/s12902-022-01024-4 |
_version_ | 1784694288787963904 |
---|---|
author | Yamada, Hodaka Washino, Satoshi Suzuki, Daisuke Saikawa, Rika Tonezawa, Shiori Hagiwara, Rie Funazaki, Shunsuke Yoshida, Masashi Konishi, Tsuzumi Saito, Kimitoshi Miyagawa, Tomoaki Hara, Kazuo |
author_facet | Yamada, Hodaka Washino, Satoshi Suzuki, Daisuke Saikawa, Rika Tonezawa, Shiori Hagiwara, Rie Funazaki, Shunsuke Yoshida, Masashi Konishi, Tsuzumi Saito, Kimitoshi Miyagawa, Tomoaki Hara, Kazuo |
author_sort | Yamada, Hodaka |
collection | PubMed |
description | BACKGROUND: This study aimed to evaluate whether hypereosinophilia is a clinical biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma treated with nivolumab plus ipilimumab. METHODS: This was a retrospective cohort study conducted at Jichi Medical University Saitama Medical Center between January 2018 and December 2020. In total, 12 patients with renal cell carcinoma who presented with immune checkpoint inhibitor-induced hypopituitarism were enrolled in this study. The clinical parameters and symptoms at baseline, last visit, and onset of hypopituitarism were analyzed. RESULTS: The median period from the initial treatment with immune checkpoint inhibitors to the onset of hypopituitarism was 82.5 (range: 56–196) days. Most patients developed hypopituitarism within 6 months. One patient presented with hypophysitis and 11 patients presented with isolated adrenocorticotropic hormone deficiency. The major symptoms noted at onset were fatigue (66.7%) and loss of appetite (41.7%). None of the patients had symptoms during the last visit. However, four developed hypereosinophilia. Eosinophil fraction (%) and eosinophil count (/µL) increased during the last visit and at the onset of hypopituitarism, respectively. The serum sodium and plasma glucose levels were similar. CONCLUSIONS: The eosinophil count increased before the onset of hypopituitarism. Thus, hypereosinophilia can be an early predictor of hypopituitarism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-022-01024-4. |
format | Online Article Text |
id | pubmed-9040214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90402142022-04-27 Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma Yamada, Hodaka Washino, Satoshi Suzuki, Daisuke Saikawa, Rika Tonezawa, Shiori Hagiwara, Rie Funazaki, Shunsuke Yoshida, Masashi Konishi, Tsuzumi Saito, Kimitoshi Miyagawa, Tomoaki Hara, Kazuo BMC Endocr Disord Research BACKGROUND: This study aimed to evaluate whether hypereosinophilia is a clinical biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma treated with nivolumab plus ipilimumab. METHODS: This was a retrospective cohort study conducted at Jichi Medical University Saitama Medical Center between January 2018 and December 2020. In total, 12 patients with renal cell carcinoma who presented with immune checkpoint inhibitor-induced hypopituitarism were enrolled in this study. The clinical parameters and symptoms at baseline, last visit, and onset of hypopituitarism were analyzed. RESULTS: The median period from the initial treatment with immune checkpoint inhibitors to the onset of hypopituitarism was 82.5 (range: 56–196) days. Most patients developed hypopituitarism within 6 months. One patient presented with hypophysitis and 11 patients presented with isolated adrenocorticotropic hormone deficiency. The major symptoms noted at onset were fatigue (66.7%) and loss of appetite (41.7%). None of the patients had symptoms during the last visit. However, four developed hypereosinophilia. Eosinophil fraction (%) and eosinophil count (/µL) increased during the last visit and at the onset of hypopituitarism, respectively. The serum sodium and plasma glucose levels were similar. CONCLUSIONS: The eosinophil count increased before the onset of hypopituitarism. Thus, hypereosinophilia can be an early predictor of hypopituitarism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-022-01024-4. BioMed Central 2022-04-26 /pmc/articles/PMC9040214/ /pubmed/35468815 http://dx.doi.org/10.1186/s12902-022-01024-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yamada, Hodaka Washino, Satoshi Suzuki, Daisuke Saikawa, Rika Tonezawa, Shiori Hagiwara, Rie Funazaki, Shunsuke Yoshida, Masashi Konishi, Tsuzumi Saito, Kimitoshi Miyagawa, Tomoaki Hara, Kazuo Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
title | Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
title_full | Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
title_fullStr | Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
title_full_unstemmed | Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
title_short | Hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
title_sort | hypereosinophilia is a predictive biomarker of immune checkpoint inhibitor-induced hypopituitarism in patients with renal cell carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040214/ https://www.ncbi.nlm.nih.gov/pubmed/35468815 http://dx.doi.org/10.1186/s12902-022-01024-4 |
work_keys_str_mv | AT yamadahodaka hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT washinosatoshi hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT suzukidaisuke hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT saikawarika hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT tonezawashiori hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT hagiwararie hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT funazakishunsuke hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT yoshidamasashi hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT konishitsuzumi hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT saitokimitoshi hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT miyagawatomoaki hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma AT harakazuo hypereosinophiliaisapredictivebiomarkerofimmunecheckpointinhibitorinducedhypopituitarisminpatientswithrenalcellcarcinoma |