Evidence map›Paper›PMID 32028979›Full record

ArticleJournal of translational medicine2020

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

Jing Chen, Changsheng Ye, Jianyu Dong, Shunwang Cao, Yanwei Hu, Bo Situ, Xiaoxue Xi, Sihua Qin, Jiasen Xu, Zhen Cai and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  15. Association of circulating tumor cells andFrontiers in oncology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Jing ChenDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510515, China.
Changsheng YeDepartment of Breast Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China.
Jianyu DongDepartment of Breast Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China.
Shunwang CaoDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Yanwei HuLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China.
Bo SituLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China.
Xiaoxue XiLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China.
Sihua QinDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510515, China.
Jiasen XuSurExam Bio-Tech, Guangzhou Technology Innovation Base, Science City, Guangzhou, 510000, China.
Zhen CaiLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China. caizh@smu.edu.cn.
Lei ZhengLaboratory Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China. nfyyzhenglei@smu.edu.cn.
Qian WangDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510515, China. nfyywangqian@163.com.
Southern Medical University · CNNanfang Hospital · CNGuangzhou University of Chinese Medicine · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating 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.

methodsOncomine, 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.

resultsPGK1 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

conclusionsThis work establishes a PGK1/G6PD-based method for CTCs metabolic classification to identify the aggressive CTCs subpopulation. Metabolically active GM

Indexed as

Breast NeoplasmsNeoplastic Cells, CirculatingBiomarkers, TumorEpithelial-Mesenchymal TransitionHumansNeoplasm MetastasisNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorBreast cancerCirculating tumor cells typingMetabolic reprogramming

Identifiers

PMID32028979
PMCPMC7003411
OpenAlexW3006225619

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.