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

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

Abstract

Abstract 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+CD45PGK1/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.

Funder

Natural Science Foundation of Guangdong Province

Science and Technology Planning Project of Guangdong Province

Guangzhou Science and Technology Program key projects

President Foundation of Nanfang Hospital, Southern Medical University

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

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