Cargando…

Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients

BACKGROUND: Recently, immunotherapy has been used to treat metastatic triple‐negative breast cancer (mTNBC). Basic research has indicated a relation between tumor heterogeneity and the immune response. Tumor heterogeneity derived from (18)F‐FDG PET/CT is a potential predictor of chemotherapy results...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Yizhao, Liu, Cheng, Zhao, Yannan, Gong, Chengcheng, Li, Yi, Hu, Shihui, Song, Shaoli, Hu, Xichun, Yang, Zhongyi, Wang, Biyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9089221/
https://www.ncbi.nlm.nih.gov/pubmed/35275444
http://dx.doi.org/10.1002/cam4.4522
_version_ 1784704474490601472
author Xie, Yizhao
Liu, Cheng
Zhao, Yannan
Gong, Chengcheng
Li, Yi
Hu, Shihui
Song, Shaoli
Hu, Xichun
Yang, Zhongyi
Wang, Biyun
author_facet Xie, Yizhao
Liu, Cheng
Zhao, Yannan
Gong, Chengcheng
Li, Yi
Hu, Shihui
Song, Shaoli
Hu, Xichun
Yang, Zhongyi
Wang, Biyun
author_sort Xie, Yizhao
collection PubMed
description BACKGROUND: Recently, immunotherapy has been used to treat metastatic triple‐negative breast cancer (mTNBC). Basic research has indicated a relation between tumor heterogeneity and the immune response. Tumor heterogeneity derived from (18)F‐FDG PET/CT is a potential predictor of chemotherapy results; however, few studies have focused on immunotherapy. This study aims to develop a convenient and efficient measurement of tumor heterogeneity for the prediction of immunotherapy in mTNBC patients. METHODS: We enrolled mTNBC patients who received immunotherapy (PD‐1/PD‐L1 antibody) plus chemotherapy as first‐line treatment and underwent (18)F‐FDG PET/CT scans before treatment. We defined a novel index representing tumor heterogeneity calculated from the standard uptake value (SUV) as IATH and IETH. Optimal cutoffs were determined using time‐dependent receiver operator characteristics (ROC) analysis. RESULTS: A total of 32 patients were enrolled and analyzed in this trial. A significantly longer median PFS was observed in the low SUVmax group than in the high SUVmax group (9.4 vs. 5.8 months, HR = 0.3, 95% CI 0.1–0.9, p = 0.025). The median PFS of low‐IATH patients was significantly longer than that of high‐IATH patients (HR = 0.3, 95% CI 0.1–0.8, p = 0.022). Similarly, patients with low IETH had significantly longer PFS than patients with high IETH (9.4 vs. 4.9 months, HR = 0.3, 95% CI 0.1–0.7, p = 0.01). Multivariate analysis demonstrated IETH as an independent predictor of PFS. CONCLUSIONS: This study proposed a novel method to assess intratumor and intertumor heterogeneity among metastatic breast cancer patients and determined that baseline IETH derived from (18)F‐FDG PET/CT could represent a simple and promising predictor for first‐line immunotherapy among mTNBC patients.
format Online
Article
Text
id pubmed-9089221
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-90892212022-05-16 Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients Xie, Yizhao Liu, Cheng Zhao, Yannan Gong, Chengcheng Li, Yi Hu, Shihui Song, Shaoli Hu, Xichun Yang, Zhongyi Wang, Biyun Cancer Med Clinical Cancer Research BACKGROUND: Recently, immunotherapy has been used to treat metastatic triple‐negative breast cancer (mTNBC). Basic research has indicated a relation between tumor heterogeneity and the immune response. Tumor heterogeneity derived from (18)F‐FDG PET/CT is a potential predictor of chemotherapy results; however, few studies have focused on immunotherapy. This study aims to develop a convenient and efficient measurement of tumor heterogeneity for the prediction of immunotherapy in mTNBC patients. METHODS: We enrolled mTNBC patients who received immunotherapy (PD‐1/PD‐L1 antibody) plus chemotherapy as first‐line treatment and underwent (18)F‐FDG PET/CT scans before treatment. We defined a novel index representing tumor heterogeneity calculated from the standard uptake value (SUV) as IATH and IETH. Optimal cutoffs were determined using time‐dependent receiver operator characteristics (ROC) analysis. RESULTS: A total of 32 patients were enrolled and analyzed in this trial. A significantly longer median PFS was observed in the low SUVmax group than in the high SUVmax group (9.4 vs. 5.8 months, HR = 0.3, 95% CI 0.1–0.9, p = 0.025). The median PFS of low‐IATH patients was significantly longer than that of high‐IATH patients (HR = 0.3, 95% CI 0.1–0.8, p = 0.022). Similarly, patients with low IETH had significantly longer PFS than patients with high IETH (9.4 vs. 4.9 months, HR = 0.3, 95% CI 0.1–0.7, p = 0.01). Multivariate analysis demonstrated IETH as an independent predictor of PFS. CONCLUSIONS: This study proposed a novel method to assess intratumor and intertumor heterogeneity among metastatic breast cancer patients and determined that baseline IETH derived from (18)F‐FDG PET/CT could represent a simple and promising predictor for first‐line immunotherapy among mTNBC patients. John Wiley and Sons Inc. 2022-03-11 /pmc/articles/PMC9089221/ /pubmed/35275444 http://dx.doi.org/10.1002/cam4.4522 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Xie, Yizhao
Liu, Cheng
Zhao, Yannan
Gong, Chengcheng
Li, Yi
Hu, Shihui
Song, Shaoli
Hu, Xichun
Yang, Zhongyi
Wang, Biyun
Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
title Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
title_full Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
title_fullStr Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
title_full_unstemmed Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
title_short Heterogeneity derived from (18)F‐FDG PET/CT predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
title_sort heterogeneity derived from (18)f‐fdg pet/ct predicts immunotherapy outcome for metastatic triple‐negative breast cancer patients
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9089221/
https://www.ncbi.nlm.nih.gov/pubmed/35275444
http://dx.doi.org/10.1002/cam4.4522
work_keys_str_mv AT xieyizhao heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT liucheng heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT zhaoyannan heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT gongchengcheng heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT liyi heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT hushihui heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT songshaoli heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT huxichun heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT yangzhongyi heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients
AT wangbiyun heterogeneityderivedfrom18ffdgpetctpredictsimmunotherapyoutcomeformetastatictriplenegativebreastcancerpatients