Evidence map›Paper›PMID 36594618›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Combined Single-Cell and Spatial Transcriptomics Reveal the Metabolic Evolvement of Breast Cancer during Early Dissemination.

Yi-Ming Liu, Jing-Yu Ge, Yu-Fei Chen, Tong Liu, Lie Chen, Cui-Cui Liu, Ding Ma, Yi-Yu Chen, Yu-Wen Cai, Ying-Ying Xu and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
–field-weighted citation impact
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

98 citing papers in PubMed.

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  17. CD8Nature communications · 2026
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38 more citing papers are in PubMed but not listed here.

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.

Yi-Ming LiuDepartment of Breast Surgery, Shanghai Cancer Center and Cancer Institute, Fudan University, Shanghai, 200032, P. R. China.
Jing-Yu GeShanghai Medical College, Fudan University, Shanghai, 200032, P. R. China.
Yu-Fei ChenShanghai Medical College, Fudan University, Shanghai, 200032, P. R. China.
Tong LiuDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, P. R. China.
Lie ChenShanghai Medical College, Fudan University, Shanghai, 200032, P. R. China.
Cui-Cui LiuDepartment of Breast Surgery, Shanghai Cancer Center and Cancer Institute, Fudan University, Shanghai, 200032, P. R. China.
Ding MaDepartment of Breast Surgery, Shanghai Cancer Center and Cancer Institute, Fudan University, Shanghai, 200032, P. R. China.
Yi-Yu ChenShanghai Medical College, Fudan University, Shanghai, 200032, P. R. China.
Yu-Wen CaiShanghai Medical College, Fudan University, Shanghai, 200032, P. R. China.
Ying-Ying XuDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110000, P. R. China.
Zhi-Ming ShaoDepartment of Breast Surgery, Shanghai Cancer Center and Cancer Institute, Fudan University, Shanghai, 200032, P. R. China.
Ke-Da YuDepartment of Breast Surgery, Shanghai Cancer Center and Cancer Institute, Fudan University, Shanghai, 200032, P. R. China.ORCID 0000-0002-2883-1282

Funding

2018 Shanghai Youth Excellent Academic LeaderChinese Young Breast Experts Research Project CYBER-2021-A01Fudan ZHUOSHI ProjectNational Natural Science Foundation of China 81672600National Natural Science Foundation of China 81722032National Natural Science Foundation of China 82072916
6 · The paper itself

Abstract

Breast cancer is now the most frequently diagnosed malignancy, and metastasis remains the leading cause of death in breast cancer. However, little is known about the dynamic changes during the evolvement of dissemination. In this study, 65 968 cells from four patients with breast cancer and paired metastatic axillary lymph nodes are profiled using single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics. A disseminated cancer cell cluster with high levels of oxidative phosphorylation (OXPHOS), including the upregulation of cytochrome C oxidase subunit 6C and dehydrogenase/reductase 2, is identified. The transition between glycolysis and OXPHOS when dissemination initiates is noticed. Furthermore, this distinct cell cluster is distributed along the tumor's leading edge. The findings here are verified in three different cohorts of breast cancer patients and an external scRNA-seq dataset, which includes eight patients with breast cancer and paired metastatic axillary lymph nodes. This work describes the dynamic metabolic evolvement of early disseminated breast cancer and reveals a switch between glycolysis and OXPHOS in breast cancer cells as the early event during lymph node metastasis.

Indexed as

Breast NeoplasmsFemaleGlycolysisHumansLymphatic MetastasisLymph NodesTranscriptomebreast cancerearly disseminationmetabolismsingle-cell RNA sequencingspatial transcriptomics

Identifiers

PMID36594618
PMCPMC9951304

What OpenQuestion holds

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Registered trials

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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.