Evidence map›Paper›PMID 36148946›Full record

ArticleActa biochimica et biophysica Sinica2022

Microenvironment components and spatially resolved single-cell transcriptome atlas of breast cancer metastatic axillary lymph nodes.

Kun Xu, Runtian Wang, Qin Chen, Yiqiu Liu, Xintong Li, Ling Mao, Cenzhu Wang, Fangyan Gao, Longfei Hu, Hui Xie and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 8 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Kun XuDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Runtian WangDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Qin ChenDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Yiqiu LiuDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Xintong LiDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Ling MaoDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Cenzhu WangDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Fangyan GaoDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Longfei HuSingleron Biotechnologies, Nanjing 210044, China.
Hui XieDepartment of Breast Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Cong WangDepartment of Pathology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Guohua ZhouDepartment of Pharmacology, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China.
Xiaoxiang GuanDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jiangsu Province Hospital · CNNanjing Medical University · CNNanjing General Hospital of Nanjing Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an indicator of clinical prognosis, lymph node metastasis of breast cancer has drawn great attention. Many reports have revealed the characteristics of metastatic breast cancer cells, however, the effect of breast cancer cells on the microenvironment components of lymph nodes and spatial transcriptome atlas remains unclear. In this study, by integrating single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics, we investigate the transcriptional profiling of six surgically excised lymph node samples and the spatial organization of one positive lymph node. We identify the existence of osteoclast-like giant cells (OGC) which have high expressions of CD68 and CD163, the biomarkers of tumor-associated macrophages (TAMs). Through a spatially resolved transcriptomic method, we find that OGCs are scattered among metastatic breast cancer cells. In the lymph node microenvironment with breast cancer cell infiltration, TAMs are enriched in protumoral pathways including NF-κB signaling pathways and NOD-like receptor signaling pathways. Further subclustering demonstrates the potential differentiation trajectory in which macrophages develop from a state of active chemokine production to a state of active lymphocyte activation. This study is the first to integrate scRNA-seq and spatial transcriptomics in the tumor microenvironment of axillary lymph nodes, offering a systematic approach to delve into breast cancer lymph node metastasis.

Indexed as

Breast NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesSignal TransductionTranscriptomeTumor Microenvironmentbreast cancermetastasismicroenvironmentsingle-cell RNA sequencingspatial transcriptomics

Identifiers

PMID36148946
PMCPMC9828062
OpenAlexW4295106730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.