Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy

Radiotherapy (RT) is a major modality of postoperative treatment in breast cancer. The maximal standardized value (SUVmax) is 18FDG-PET/CT derived parameter that reported to be a valuable prognostic factor in cancer patients. Herein, we aimed to identify a prognostic gene signature associated with g...

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Autores principales: Jin Meng, Emmanuel Deshayes, Li Zhang, Wei Shi, Xiaomeng Zhang, Xingxing Chen, Xin Mei, Jinli Ma, Yizhou Jiang, Jiong Wu, Zhimin Shao, Xiaoli Yu, Zhaozhi Yang, Xiaomao Guo
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:d3255fe1958849e4a8702e05732e7e462021-11-14T04:34:25ZPrognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy2372-770510.1016/j.omto.2021.10.008https://doaj.org/article/d3255fe1958849e4a8702e05732e7e462021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2372770521001455https://doaj.org/toc/2372-7705Radiotherapy (RT) is a major modality of postoperative treatment in breast cancer. The maximal standardized value (SUVmax) is 18FDG-PET/CT derived parameter that reported to be a valuable prognostic factor in cancer patients. Herein, we aimed to identify a prognostic gene signature associated with glucose uptake for breast cancer patients after RT by leveraging the mRNA expression profiling on public datasets. The glucose uptake signature was constructed using the single sample gene set enrichment analysis (ssGSEA) algorithm and evaluated in GSE21217 where SUVmax value was measured by PET-CT directly. The prognostic value was validated in three post-RT breast cancer cohorts (GSE103744, NKI, and FUSCC databases). The patients were stratified into glucose uptake signature score-high and low groups. Patients with a higher score had worse survival than those with a lower score. Mechanistically, the glucose uptake signature was calculated in each cell type of a single-cell RNA-seq database from five breast cancer patients. Glucose uptake signature score was significantly elevated in the malignant epithelial cells compared with normal ones. The immunosuppression markers including PDCD1, TIGIT, LAG3, and HAVCR2 were significantly upregulated in the T cells bearing a high glucose uptake signature score. Collectively, our results demonstrated the potential prognostic value of a glucose uptake signature in the post-RT breast cancer patients.Jin MengEmmanuel DeshayesLi ZhangWei ShiXiaomeng ZhangXingxing ChenXin MeiJinli MaYizhou JiangJiong WuZhimin ShaoXiaoli YuZhaozhi YangXiaomao GuoElsevierarticlebreast cancerradiotherapyFDG uptakegene signatureimmunosuppressionNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENMolecular Therapy: Oncolytics, Vol 23, Iss , Pp 412-419 (2021)
institution DOAJ
collection DOAJ
language EN
topic breast cancer
radiotherapy
FDG uptake
gene signature
immunosuppression
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle breast cancer
radiotherapy
FDG uptake
gene signature
immunosuppression
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Jin Meng
Emmanuel Deshayes
Li Zhang
Wei Shi
Xiaomeng Zhang
Xingxing Chen
Xin Mei
Jinli Ma
Yizhou Jiang
Jiong Wu
Zhimin Shao
Xiaoli Yu
Zhaozhi Yang
Xiaomao Guo
Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy
description Radiotherapy (RT) is a major modality of postoperative treatment in breast cancer. The maximal standardized value (SUVmax) is 18FDG-PET/CT derived parameter that reported to be a valuable prognostic factor in cancer patients. Herein, we aimed to identify a prognostic gene signature associated with glucose uptake for breast cancer patients after RT by leveraging the mRNA expression profiling on public datasets. The glucose uptake signature was constructed using the single sample gene set enrichment analysis (ssGSEA) algorithm and evaluated in GSE21217 where SUVmax value was measured by PET-CT directly. The prognostic value was validated in three post-RT breast cancer cohorts (GSE103744, NKI, and FUSCC databases). The patients were stratified into glucose uptake signature score-high and low groups. Patients with a higher score had worse survival than those with a lower score. Mechanistically, the glucose uptake signature was calculated in each cell type of a single-cell RNA-seq database from five breast cancer patients. Glucose uptake signature score was significantly elevated in the malignant epithelial cells compared with normal ones. The immunosuppression markers including PDCD1, TIGIT, LAG3, and HAVCR2 were significantly upregulated in the T cells bearing a high glucose uptake signature score. Collectively, our results demonstrated the potential prognostic value of a glucose uptake signature in the post-RT breast cancer patients.
format article
author Jin Meng
Emmanuel Deshayes
Li Zhang
Wei Shi
Xiaomeng Zhang
Xingxing Chen
Xin Mei
Jinli Ma
Yizhou Jiang
Jiong Wu
Zhimin Shao
Xiaoli Yu
Zhaozhi Yang
Xiaomao Guo
author_facet Jin Meng
Emmanuel Deshayes
Li Zhang
Wei Shi
Xiaomeng Zhang
Xingxing Chen
Xin Mei
Jinli Ma
Yizhou Jiang
Jiong Wu
Zhimin Shao
Xiaoli Yu
Zhaozhi Yang
Xiaomao Guo
author_sort Jin Meng
title Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy
title_short Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy
title_full Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy
title_fullStr Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy
title_full_unstemmed Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy
title_sort prognostic value of metabolic signature on 18f-fdguptake in breast cancer patients after radiotherapy
publisher Elsevier
publishDate 2021
url https://doaj.org/article/d3255fe1958849e4a8702e05732e7e46
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