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Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer

BACKGROUND: Circulating tumor cells (CTCs) has been demonstrated as a promising liquid biopsy marker for breast cancer (BC). However, the intra-patient heterogeneity of CTCs remains a challenge to clinical application. We aim at profiling aggressive CTCs subpopulation in BC utilizing the distinctive...

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Autores principales: Chen, Jing, Ye, Changsheng, Dong, Jianyu, Cao, Shunwang, Hu, Yanwei, Situ, Bo, Xi, Xiaoxue, Qin, Sihua, Xu, Jiasen, Cai, Zhen, Zheng, Lei, Wang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003411/
https://www.ncbi.nlm.nih.gov/pubmed/32028979
http://dx.doi.org/10.1186/s12967-020-02237-8
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author Chen, Jing
Ye, Changsheng
Dong, Jianyu
Cao, Shunwang
Hu, Yanwei
Situ, Bo
Xi, Xiaoxue
Qin, Sihua
Xu, Jiasen
Cai, Zhen
Zheng, Lei
Wang, Qian
author_facet Chen, Jing
Ye, Changsheng
Dong, Jianyu
Cao, Shunwang
Hu, Yanwei
Situ, Bo
Xi, Xiaoxue
Qin, Sihua
Xu, Jiasen
Cai, Zhen
Zheng, Lei
Wang, Qian
author_sort Chen, Jing
collection PubMed
description BACKGROUND: Circulating tumor cells (CTCs) has been demonstrated as a promising liquid biopsy marker for breast cancer (BC). However, the intra-patient heterogeneity of CTCs remains a challenge to clinical application. We aim at profiling aggressive CTCs subpopulation in BC utilizing the distinctive metabolic reprogramming which is a hallmark of metastatic tumor cells. METHODS: Oncomine, TCGA and Kaplan–Meier plotter databases were utilized to analyze expression and survival relevance of the previously screened metastasis-promoting metabolic markers (PGK1/G6PD) in BC patients. CTCs detection and metabolic classification were performed through micro-filtration and multiple RNA in situ hybridization using CD45 and PGK1/G6PD probes. Blood samples were collected from 64 BC patients before treatment for CTCs analysis. Patient characteristics were recorded to evaluate clinical applications of CTCs metabolic subtypes, as well as morphological EMT subtypes classified by epithelial (EpCAM/CKs) and mesenchymal (Vimentin/Twist) markers. RESULTS: PGK1 and G6PD expressions were up-regulated in invasive BC tissues compared with normal mammary tissues. Increased tissue expressions of PGK1 or G6PD indicated shortened overall and relapse-free survival of BC patients (P < 0.001). Blood GM(+)CTCs (DAPI(+)CD45(−)PGK1/G6PD(+)) was detectable (range 0–54 cells/5 mL) in 61.8% of tCTCs > 0 patients. Increased GM(+)CTCs number and positive rate were correlated with tumor metastasis and progression (P < 0.05). The GM(+)CTCs ≥ 2/5 mL level presented superior AUC of ROC at 0.854 (95% CI 0.741–0.968) in the diagnosis of BC metastasis (sensitivity/specificity: 66.7%/91.3%), compared with that of tCTCs (0.779) and CTCs-EMT subtypes (E-CTCs 0.645, H-CTCs 0.727 and M-CTCs 0.697). Moreover, GM(+)CTCs(+) group had inferior survival with decreased 2 years-PFS proportion (18.5%) than GM(+)CTCs(−) group (87.9%; P = 0.001). CONCLUSIONS: This work establishes a PGK1/G6PD-based method for CTCs metabolic classification to identify the aggressive CTCs subpopulation. Metabolically active GM(+)CTCs subtype is suggested a favorable biomarker of distant metastasis and prognosis in BC patients.
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spelling pubmed-70034112020-02-10 Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer Chen, Jing Ye, Changsheng Dong, Jianyu Cao, Shunwang Hu, Yanwei Situ, Bo Xi, Xiaoxue Qin, Sihua Xu, Jiasen Cai, Zhen Zheng, Lei Wang, Qian J Transl Med Research BACKGROUND: Circulating tumor cells (CTCs) has been demonstrated as a promising liquid biopsy marker for breast cancer (BC). However, the intra-patient heterogeneity of CTCs remains a challenge to clinical application. We aim at profiling aggressive CTCs subpopulation in BC utilizing the distinctive metabolic reprogramming which is a hallmark of metastatic tumor cells. METHODS: Oncomine, TCGA and Kaplan–Meier plotter databases were utilized to analyze expression and survival relevance of the previously screened metastasis-promoting metabolic markers (PGK1/G6PD) in BC patients. CTCs detection and metabolic classification were performed through micro-filtration and multiple RNA in situ hybridization using CD45 and PGK1/G6PD probes. Blood samples were collected from 64 BC patients before treatment for CTCs analysis. Patient characteristics were recorded to evaluate clinical applications of CTCs metabolic subtypes, as well as morphological EMT subtypes classified by epithelial (EpCAM/CKs) and mesenchymal (Vimentin/Twist) markers. RESULTS: PGK1 and G6PD expressions were up-regulated in invasive BC tissues compared with normal mammary tissues. Increased tissue expressions of PGK1 or G6PD indicated shortened overall and relapse-free survival of BC patients (P < 0.001). Blood GM(+)CTCs (DAPI(+)CD45(−)PGK1/G6PD(+)) was detectable (range 0–54 cells/5 mL) in 61.8% of tCTCs > 0 patients. Increased GM(+)CTCs number and positive rate were correlated with tumor metastasis and progression (P < 0.05). The GM(+)CTCs ≥ 2/5 mL level presented superior AUC of ROC at 0.854 (95% CI 0.741–0.968) in the diagnosis of BC metastasis (sensitivity/specificity: 66.7%/91.3%), compared with that of tCTCs (0.779) and CTCs-EMT subtypes (E-CTCs 0.645, H-CTCs 0.727 and M-CTCs 0.697). Moreover, GM(+)CTCs(+) group had inferior survival with decreased 2 years-PFS proportion (18.5%) than GM(+)CTCs(−) group (87.9%; P = 0.001). CONCLUSIONS: This work establishes a PGK1/G6PD-based method for CTCs metabolic classification to identify the aggressive CTCs subpopulation. Metabolically active GM(+)CTCs subtype is suggested a favorable biomarker of distant metastasis and prognosis in BC patients. BioMed Central 2020-02-06 /pmc/articles/PMC7003411/ /pubmed/32028979 http://dx.doi.org/10.1186/s12967-020-02237-8 Text en © The Author(s) 2020 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, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://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
Chen, Jing
Ye, Changsheng
Dong, Jianyu
Cao, Shunwang
Hu, Yanwei
Situ, Bo
Xi, Xiaoxue
Qin, Sihua
Xu, Jiasen
Cai, Zhen
Zheng, Lei
Wang, Qian
Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
title Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
title_full Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
title_fullStr Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
title_full_unstemmed Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
title_short Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
title_sort metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003411/
https://www.ncbi.nlm.nih.gov/pubmed/32028979
http://dx.doi.org/10.1186/s12967-020-02237-8
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