Evidence map›Paper›PMID 39210391›Full record

ArticleJournal of translational medicine2024

Single-cell landscape of intratumoral heterogeneity and tumor microenvironment remolding in pre-nodal metastases of breast cancer.

Kaidong Liu, Huiming Han, Kai Xiong, Songmei Zhai, Xiuqi Yang, Xinmiao Yu, Bo Chen, Mingyue Liu, Qi Dong, Hongxue Meng and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Kaidong Liu *Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Huiming Han *Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Kai Xiong *Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Songmei ZhaiDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiuqi YangDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xinmiao YuDepartment of Human Anatomy, Harbin Medical University, Harbin, China.
Bo ChenDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Mingyue LiuDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Qi DongDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hongxue MengDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin, China. menghongxue@hrbmu.edu.cn.
Yunyan GuDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China. guyunyan@ems.hrbmu.edu.cn.ORCID 0000-0001-5693-4126

Funding

Heilongjiang Province Innovation Base Award Project JD2023SJ03National Natural Science Foundation of China 32270710National Natural Science Foundation of China 82072985Outstanding Youth Foundation of Heilongjiang Province of China YQ2021H005Scientific Research Project of Provincial Scientific Research Institutes of Heilongjiang Province CZKYF2024-1-A010
6 · The paper itself

Abstract

backgroundThe metastasis of cancer cells is influenced by both their intrinsic characteristics and the tumor microenvironment (TME). However, the molecular mechanisms underlying pre-nodal metastases of breast cancer remain unclear.

methodsWe integrated a total of 216,963 cells from 54 samples across 6 single-cell datasets to profile the cellular landscape differences between primary tumors and pre-nodal metastases.

resultsWe revealed three distinct metastatic epithelial cell subtypes (Epi1, Epi2 and Epi3), which exhibited different metastatic mechanisms. Specifically, the marker gene KCNK15 of the Epi1 subtype exhibited increased gene expression along the cell differentiation trajectory and was specifically regulated by the transcription factor ASCL1. In the Epi3 subtype, we highlighted NR2F1 as a regulator targeting the marker gene MUCL1. Additionally, we found that the Epi2 and Epi3 subtypes shared some regulons, such as ZEB1 and NR2C1. Similarly, we identified specific subtypes of stromal and immune cells in the TME, and discovered that vascular cancer-associated fibroblasts might promote capillary formation through CXCL9

conclusionsIn summary, this study dissects the intratumoral heterogeneity and remodeling of the TME in pre-nodal metastases of breast cancer, providing novel insights into the mechanisms underlying breast cancer metastasis.

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticGenetic HeterogeneityNeoplasm MetastasisSingle-Cell AnalysisTumor MicroenvironmentCancer-Associated FibroblastsEpithelial CellsFemaleHumansBreast cancerPre-nodal metastasisSingle-cell analysisTumor microenvironment remodeling

Identifiers

PMID39210391
PMCPMC11363495

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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.