Evidence map›Paper›PMID 42656703›Full record

ArticleFrontiers in bioinformatics2026

Single cell mapping of B and T cell dynamics in breast cancer lymph node metastasis.

Sajid Khan, Sabahat Jamil, Muhammad Hamza, Zarlish Attique, Suping Zhang

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sajid KhanShenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Guangdong Key Laboratory for Genome Stability and Human Disease Prevention, Department of Pharmacology, School of Basic Medical Science, Base for International Science and Technology Cooperation, Carson Cancer Stem Cell Vaccines R&D Center, International Cancer Center, Shenzhen University Medical School, Shenzhen University, Shenzhen, China.
Sabahat JamilDepartment of Bioinformatics, Government Postgraduate College Mandian, Abbottabad, Pakistan.
Muhammad HamzaDepartment of Bioinformatics, Government Postgraduate College Mandian, Abbottabad, Pakistan.
Zarlish AttiqueDepartment of Bioinformatics, Government Postgraduate College Mandian, Abbottabad, Pakistan.
Suping ZhangShenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Guangdong Key Laboratory for Genome Stability and Human Disease Prevention, Department of Pharmacology, School of Basic Medical Science, Base for International Science and Technology Cooperation, Carson Cancer Stem Cell Vaccines R&D Center, International Cancer Center, Shenzhen University Medical School, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic breast cancer remains difficult to cure, and the way B and T lymphocytes adapt across metastatic niches especially under therapy remains insufficiently defined. Clarifying compartment specific immune remodeling may help explain resistance to PD-1/PD-L1 blockade and identify actionable targets. We performed an integrated meta-analysis of single cell RNA-seq datasets from normal breast tissue, primary tumors, tumor-draining lymph nodes (TLNs), and peripheral blood mononuclear cells (PBMCs), focusing on B and Tcell states. Immune composition differed notably by compartment. Tumors were enriched for effector CD8 states (CD8 cytotoxic 20.1%; CD8 activated 13.5%), whereas TLNs preserved larger naïve and memory reservoirs (CD4 naïve 40.7%; B naïve 11.4%; B memory 12.0%) and contained a higher B cell fraction than tumors (39.6% vs. 19.5%). Post therapy, PBMCs and TLNs showed increased BTLA-HVEM (TNFRSF14) checkpoint signaling and enhanced MIF-CD74 interactions with a shift from CD44 toward CXCR4, consistent with CXCR4 driven migratory and survival programs. In TLNs, TNFRSF14 signaling was unidirectional (B→T), absent in the reverse direction, and not detected in tumors. Clinically, higher tumor CXCR4 combined with lower TNFRSF14 was associated with shorter progression free survival in TCGA-BRCA, most evident in node positive, early stage disease. To target the BTLA-HVEM checkpoint axis, we performed structure guided

Indexed as

breast cancerB&T cross talkchemokine-cytokine signalinglymph node metastasisScRNA-seq

Identifiers

PMID42656703
PMCPMC13506802

What OpenQuestion holds

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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.