机构:[1]Department of Laboratory Medicine, Zhujiang Hospital, Southern MedicalUniversity, Guangzhou 510515, China[2]Laboratory Medicine Center, NanfangHospital, Southern Medical University, Guangzhou 510000, China[3]Department of Breast Surgery, Nanfang Hospital, Southern Medical University,Guangzhou 510000, China[4]Department of Laboratory Medicine, The SecondAffiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou510000, China深圳市中医院深圳医学信息中心[5]Clinical Laboratory, Guangzhou Women and Children’sMedical Center, Guangzhou Medical University, Guangzhou 510000, China[6]SurExam Bio-Tech, Guangzhou Technology Innovation Base, Science City,Guangzhou 510000, China
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.
基金:
Guangdong Natural Science Foundation, ChinaNational Natural Science Foundation of Guangdong Province [2015A030313247]; Guangdong Science and Technology Planning Project, China [2016A010105006]; Guangzhou Science and Technology Planning Project, China [201704020213]; President Foundation of Nanfang Hospital, Southern Medical University, China [2016L007]
第一作者机构:[1]Department of Laboratory Medicine, Zhujiang Hospital, Southern MedicalUniversity, Guangzhou 510515, China[2]Laboratory Medicine Center, NanfangHospital, Southern Medical University, Guangzhou 510000, China
通讯作者:
推荐引用方式(GB/T 7714):
Chen Jing,Ye Changsheng,Dong Jianyu,et al.Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer[J].JOURNAL OF TRANSLATIONAL MEDICINE.2020,18(1):doi:10.1186/s12967-020-02237-8.
APA:
Chen, Jing,Ye, Changsheng,Dong, Jianyu,Cao, Shunwang,Hu, Yanwei...&Wang, Qian.(2020).Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer.JOURNAL OF TRANSLATIONAL MEDICINE,18,(1)
MLA:
Chen, Jing,et al."Metabolic classification of circulating tumor cells as a biomarker for metastasis and prognosis in breast cancer".JOURNAL OF TRANSLATIONAL MEDICINE 18..1(2020)