Evidence map›Paper›PMID 34611125›Full record

ArticleOncogenesis2021

Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis.

Kun Xu, Runtian Wang, Hui Xie, Longfei Hu, Cong Wang, Jiali Xu, Chengjun Zhu, Yiqiu Liu, Fangyan Gao, Xintong Li and 6 more

Abstract read
In one paragraph

Article in Oncogenesis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

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  15. [Construction of a prognosis forecasting model for breast cancer based on lipid metabolism-related genes and functional verification ofZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
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58 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

16 authors.

Kun Xu *Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Runtian Wang *Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hui Xie *Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Longfei Hu *Singleron Biotechnologies, Yaogu Avenue 11, Nanjing, Jiangsu, China.
Cong WangDepartment of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiali XuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chengjun ZhuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yiqiu LiuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Fangyan GaoDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xintong LiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Cenzhu WangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jinyi HuangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wenbin ZhouDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Guohua ZhouDepartment of Pharmacology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China. ghzhou@nju.edu.cn.ORCID http://orcid.org/0000-0001-6675-4452
Yongqian ShuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. shuyongqian@csco.org.cn.ORCID http://orcid.org/0000-0002-3034-685X
Xiaoxiang GuanDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. xguan@njmu.edu.cn.ORCID http://orcid.org/0000-0003-3382-7808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular mechanisms underlying breast cancer lymph node metastasis remain unclear. Using single-cell sequencing, we investigated the transcriptome profile of 96,796 single cells from 15 paired samples of primary tumors and axillary lymph nodes. We identified nine cancer cell subclusters including CD44 + / ALDH2 + /ALDH6A1 + breast cancer stem cells (BCSCs), which had a copy-number variants profile similar to that of normal breast tissue. Importantly, BCSCs existed only in primary tumors and evolved into metastatic clusters infiltrating into lymph nodes. Furthermore, transcriptome data suggested that NECTIN2-TIGIT-mediated interactions between metastatic breast cancer cells and tumor microenvironment (TME) cells, which promoted immune escape and lymph node metastasis. This study is the first to delineate the transcriptome profile of breast cancer lymph node metastasis using single-cell RNA sequencing. Our findings offer novel insights into the mechanisms underlying breast cancer metastasis and have implications in developing novel therapies to inhibit the initiation of breast cancer metastasis.

Identifiers

PMID34611125
PMCPMC8492772

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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.