Evidence map›Paper›PMID 37120634›Full record

ArticleNature communications2023

Single-cell metabolic fingerprints discover a cluster of circulating tumor cells with distinct metastatic potential.

Wenjun Zhang, Feifei Xu, Jiang Yao, Changfei Mao, Mingchen Zhu, Moting Qian, Jun Hu, Huilin Zhong, Junsheng Zhou, Xiaoyu Shi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 52 citations in OpenAlex.

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  8. Protein Lactylation in Liver Disease: A Comprehensive Review.Expert reviews in molecular medicine · 2026
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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

11 authors at 4 institutions in 1 country.

Wenjun Zhang *School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
Feifei Xu *School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
Jiang YaoSchool of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
Changfei MaoDepartment of General Surgery, Jiangsu Cancer Hospital (Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital), Nanjing, 210009, China.
Mingchen ZhuDepartment of Clinical Laboratory, Jiangsu Cancer Hospital (Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital), Nanjing, 210009, China.
Moting QianSchool of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
Jun HuSchool of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
Huilin ZhongSchool of Computer Science and Technology, Nanjing Normal University, Nanjing, 210046, China.
Junsheng ZhouSchool of Computer Science and Technology, Nanjing Normal University, Nanjing, 210046, China.
Xiaoyu ShiSchool of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
Yun ChenSchool of Pharmacy, Nanjing Medical University, Nanjing, 211166, China. ychen@njmu.edu.cn.ORCID 0000-0002-0952-8851
Nanjing Medical University · CNJiangsu Cancer Hospital · CNNanjing Normal University · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are recognized as direct seeds of metastasis. However, CTC count may not be the "best" indicator of metastatic risk because their heterogeneity is generally neglected. In this study, we develop a molecular typing system to predict colorectal cancer metastasis potential based on the metabolic fingerprints of single CTCs. After identification of the metabolites potentially related to metastasis using mass spectrometry-based untargeted metabolomics, setup of a home-built single-cell quantitative mass spectrometric platform for target metabolite analysis in individual CTCs and use of a machine learning method composed of non-negative matrix factorization and logistic regression, CTCs are divided into two subgroups, C1 and C2, based on a 4-metabolite fingerprint. Both in vitro and in vivo experiments demonstrate that CTC count in C2 subgroup is closely associated with metastasis incidence. This is an interesting report on the presence of a specific population of CTCs with distinct metastatic potential at the single-cell metabolite level.

Indexed as

Neoplastic Cells, CirculatingBiomarkers, TumorEpithelial-Mesenchymal TransitionHumansMetabolomicsNeoplasm MetastasisBiomarkers, Tumor

Identifiers

PMID37120634
PMCPMC10148826
OpenAlexW4367367735

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.