Evidence map›Paper›PMID 33846305›Full record

ArticleNature communications2021

Atlas of breast cancer infiltrated B-lymphocytes revealed by paired single-cell RNA-sequencing and antigen receptor profiling.

Qingtao Hu, Yu Hong, Pan Qi, Guangqing Lu, Xueying Mai, Sheng Xu, Xiaoying He, Yu Guo, Linlin Gao, Zhiyi Jing and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers.

0numbers the graph read from it
0cells of the map it votes in
138citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

138 citing papers in PubMed, 201 citations in OpenAlex.

  1. Trial
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  3. B cells in cancer: functions, mechanisms and therapeutic advances.Signal transduction and targeted therapy · 2026
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  9. Regulatory B cells andBiomolecules & biomedicine · 2026
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78 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

13 authors at 3 institutions in 1 country.

Qingtao Hu *National Institute of Biological Sciences, Beijing, China.ORCID 0000-0002-8291-7116
Yu Hong *National Institute of Biological Sciences, Beijing, China.
Pan Qi *Xinxiang Central Hospital, Xinxiang, Henan, China.
Guangqing LuNational Institute of Biological Sciences, Beijing, China.ORCID 0000-0002-5042-6419
Xueying MaiNational Institute of Biological Sciences, Beijing, China.
Sheng XuXinxiang Central Hospital, Xinxiang, Henan, China.
Xiaoying HeXinxiang Central Hospital, Xinxiang, Henan, China.
Yu GuoXinxiang Central Hospital, Xinxiang, Henan, China.
Linlin GaoNational Institute of Biological Sciences, Beijing, China.
Zhiyi JingNational Institute of Biological Sciences, Beijing, China.
Jiawen WangNational Institute of Biological Sciences, Beijing, China.
Tao CaiNational Institute of Biological Sciences, Beijing, China.ORCID 0000-0003-4358-4213
Yu ZhangNational Institute of Biological Sciences, Beijing, China. zhangyu@nibs.ac.cn.ORCID 0000-0002-4888-5923
National Institute of Biological Sciences, Beijing · CNXinxiang Central Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To gain mechanistic insights into the functions and developmental dynamics of tumor-infiltrated immune cells, especially B-lymphocytes, here we combine single-cell RNA-sequencing and antigen receptor lineage analysis to characterize a large number of triple-negative breast cancer infiltrated immune cells and report a comprehensive atlas of tumor-infiltrated B-lymphocytes. The single-cell transcriptional profiles reveal significant heterogeneity in tumor-infiltrated B-cell subgroups. The single-cell antigen receptor analyses demonstrate that compared with those in peripheral blood, tumor-infiltrated B-cells have more mature and memory B-cell characteristics, higher clonality, more class switching recombination and somatic hypermutations. Combined analyses suggest local differentiation of infiltrated memory B-cells within breast tumors. The B-cell signatures based on the single-cell RNA-sequencing results are significantly associated with improved survival in breast tumor patients. Functional analyses of tumor-infiltrated B-cell populations suggest that mechanistically, B-cell subgroups may contribute to immunosurveillance through various pathways. Further dissection of tumor-infiltrated B-cell populations will provide valuable clues for tumor immunotherapy.

Indexed as

Gene Expression ProfilingSequence Analysis, RNASingle-Cell AnalysisAgedBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansImmunoglobulin Heavy ChainsKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMiddle AgedReceptors, AntigenTranscriptomeImmunoglobulin Heavy ChainsReceptors, Antigen

Identifiers

PMID33846305
PMCPMC8042001
OpenAlexW3153020115

What OpenQuestion holds

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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.