Evidence map›Paper›PMID 36040519›Full record

ArticleCancer immunology, immunotherapy : CII2023

Single-cell and spatial transcriptome analyses revealed cell heterogeneity and immune environment alternations in metastatic axillary lymph nodes in breast cancer.

Xiaofan Mao, Dan Zhou, Kairong Lin, Beiying Zhang, Juntao Gao, Fei Ling, Lewei Zhu, Sifei Yu, Peixian Chen, Chuling Zhang and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 28 citations in OpenAlex.

  1. Single-cell dissection of pleural and systemic immunity uncovers pathogen-specific immune reprogramming in tuberculosis versus lung adenocarcinoma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

15 authors at 4 institutions in 4 countries.

Xiaofan Mao *Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Dan Zhou *Department of Breast Surgery, The First People's Hospital of Foshan, Foshan, China.
Kairong Lin *Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Beiying Zhang *Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Juntao GaoMOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic and Systems Biology, BNRist; Department of Automation, Tsinghua University, Beijing, China.
Fei LingSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Lewei ZhuDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, China.
Sifei YuClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Peixian ChenDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, China.
Chuling ZhangClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Chunguo ZhangClinical Research Institute, The First People's Hospital of Foshan, Foshan, China.
Guolin YeDepartment of Breast Surgery, The First People's Hospital of Foshan, Foshan, China.
Simon FongDepartment of Computer and Information Science, University of Macau, Macau SAR, China.
Guoqiang ChenDepartment of Rheumatology and Immunology, The First People's Hospital of Foshan, Foshan, China. 13929981788@139.com.
Wei LuoClinical Research Institute, The First People's Hospital of Foshan, Foshan, China. luowei_421@163.com.
First People's Hospital of Foshan · CNInstitute of Bioinformatics · INSouth China University of Technology · CNUniversity of Macau · MO

Funding

Basic and Applied Basic Research Fund of Guangdong Province 2019A1515110677Foshan city climbing peak plan 2019A004National Natural Science Foundation of China 81972335National Natural Science Foundation of China 82103347
6 · The paper itself

Abstract

backgroundTumor heterogeneity plays essential roles in developing cancer therapies, including therapies for breast cancer (BC). In addition, it is also very important to understand the relationships between tumor microenvironments and the systematic immune environment.

methodsHere, we performed single-cell, VDJ sequencing and spatial transcriptome analyses on tumor and adjacent normal tissue as well as axillar lymph nodes (LNs) and peripheral blood mononuclear cells (PBMCs) from 8 BC patients.

resultsWe found that myeloid cells exhibited environment-dependent plasticity, where a group of macrophages with both M1 and M2 signatures possessed high tumor specificity spatially and was associated with worse patient survival. Cytotoxic T cells in tumor sites evolved in a separate path from those in the circulatory system. T cell receptor (TCR) repertoires in metastatic LNs showed significant higher consistency with TCRs in tumor than those in nonmetastatic LNs and PBMCs, suggesting the existence of common neo-antigens across metastatic LNs and primary tumor cites. In addition, the immune environment in metastatic LNs had transformed into a tumor-like status, where pro-inflammatory macrophages and exhausted T cells were upregulated, accompanied by a decrease in B cells and neutrophils. Finally, cell interactions showed that cancer-associated fibroblasts (CAFs) contributed most to shaping the immune-suppressive microenvironment, while CD8

conclusionsThis study revealed the cell structures of both micro- and macroenvironments, revealed how different cells diverged in related contexts as well as their prognostic capacities, and displayed a landscape of cell interactions with spatial information.

Indexed as

Breast NeoplasmsFemaleGene Expression ProfilingHumansLeukocytes, MononuclearLymph NodesPrognosisTumor MicroenvironmentBreast cancerCirculating immune systemImmune and stromal cell heterogeneityMetastatic lymph nodesSingle-cell and spatial sequencing

Identifiers

PMID36040519
PMCPMC10991914
OpenAlexW4293769755

What OpenQuestion holds

Textmetadata
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.