Evidence map›Paper›PMID 40075470›Full record

ArticleMolecular cancer2025

Lymphatic system is the mainstream for breast cancer dissemination and metastasis revealed by single-cell lineage tracing.

Kai Miao, Aiping Zhang, Xiaodan Yang, Yipeng Zhang, Anqi Lin, Lijian Wang, Xin Zhang, Heng Sun, Jun Xu, Jingyao Zhang and 10 more

Abstract read
In one paragraph

Article in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
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

20 authors.

Kai Miao *Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China. kaimiao@um.edu.mo.
Aiping Zhang *Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Xiaodan YangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Yipeng ZhangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Anqi LinCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Lijian WangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Xin ZhangCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Heng SunCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Jun XuCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Jingyao ZhangKey Laboratory of Animal Genetics, Breeding and Reproduction of the MARA, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yuzhao FengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Fangyuan ShaoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Sen GuoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Zhihui WengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Peng LuoCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Dong WangDepartment of Developmental Biology, State Key Laboratory of Organ Failure Research, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Shuai GaoKey Laboratory of Animal Genetics, Breeding and Reproduction of the MARA, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Xiao-Yang ZhaoDepartment of Developmental Biology, State Key Laboratory of Organ Failure Research, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Xiaoling XuCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Chu-Xia DengCancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China. cxdeng@umac.mo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer metastasis is the primary cause of cancer-related death, yet the forces that drive cancer cells through various steps and different routes to distinct target organs/tissues remain elusive. In this study, we applied a barcoding system based single-cell lineage tracing approach to study the metastasis rate and route of breast cancer cells and their interactions with the tumor microenvironment (TME) during metastasis. The results indicate that only a small fraction of cells, accounting for fewer than 3% of total barcodes, can intravasate from the primary site into the blood circulation, whereas more cells disseminate through the lymphatic system to different organs. Tumor cells derived from the same progenitor cell exhibit different gene expression patterns in different soils, and the cancer cell-TME communication paradigm varies significantly between primary and metastatic tumors. Furthermore, metastable cells require a prewired particular cytokine expression ability which may be specific for lymph metastasis route although the underlying mechanism requires further investigation. In summary, leveraging a single-cell lineage tracing system, we demonstrate that the crosstalk between tumor cells and the TME is the driving force controlling the preferential metastatic fate of cancer cells through the lymphatic system.

Indexed as

Breast NeoplasmsCell LineageLymphatic SystemSingle-Cell AnalysisAnimalsCell Line, TumorCell TrackingFemaleHumansLymphatic MetastasisMiceNeoplasm MetastasisTumor MicroenvironmentBarcode systemLineage tracingLymphatic metastasisSoil-seed interactionTumor microenvironment

Identifiers

PMID40075470
PMCPMC11899007

What OpenQuestion holds

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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.