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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 (18)FDG-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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605077/ https://www.ncbi.nlm.nih.gov/pubmed/34853812 http://dx.doi.org/10.1016/j.omto.2021.10.008 |
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author | Meng, Jin Deshayes, Emmanuel Zhang, Li Shi, Wei Zhang, Xiaomeng Chen, Xingxing Mei, Xin Ma, Jinli Jiang, Yizhou Wu, Jiong Shao, Zhimin Yu, Xiaoli Yang, Zhaozhi Guo, Xiaomao |
author_facet | Meng, Jin Deshayes, Emmanuel Zhang, Li Shi, Wei Zhang, Xiaomeng Chen, Xingxing Mei, Xin Ma, Jinli Jiang, Yizhou Wu, Jiong Shao, Zhimin Yu, Xiaoli Yang, Zhaozhi Guo, Xiaomao |
author_sort | Meng, Jin |
collection | PubMed |
description | Radiotherapy (RT) is a major modality of postoperative treatment in breast cancer. The maximal standardized value (SUVmax) is (18)FDG-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 | Online Article Text |
id | pubmed-8605077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-86050772021-11-30 Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy Meng, Jin Deshayes, Emmanuel Zhang, Li Shi, Wei Zhang, Xiaomeng Chen, Xingxing Mei, Xin Ma, Jinli Jiang, Yizhou Wu, Jiong Shao, Zhimin Yu, Xiaoli Yang, Zhaozhi Guo, Xiaomao Mol Ther Oncolytics Original Article Radiotherapy (RT) is a major modality of postoperative treatment in breast cancer. The maximal standardized value (SUVmax) is (18)FDG-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. American Society of Gene & Cell Therapy 2021-10-28 /pmc/articles/PMC8605077/ /pubmed/34853812 http://dx.doi.org/10.1016/j.omto.2021.10.008 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Meng, Jin Deshayes, Emmanuel Zhang, Li Shi, Wei Zhang, Xiaomeng Chen, Xingxing Mei, Xin Ma, Jinli Jiang, Yizhou Wu, Jiong Shao, Zhimin Yu, Xiaoli Yang, Zhaozhi Guo, Xiaomao Prognostic value of metabolic signature on 18F-FDGuptake in breast cancer patients after radiotherapy |
title | 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_short | 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 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605077/ https://www.ncbi.nlm.nih.gov/pubmed/34853812 http://dx.doi.org/10.1016/j.omto.2021.10.008 |
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