Evidence map›Paper›PMID 41684542›Full record

ArticleFrontiers in immunology2025

B cell phenotypes and antibody signatures associate with interpatient variation in the lung adenocarcinoma tumor microenvironment.

Kamille M Rasche, David Tieri, Samantha M Morrissey, Hong Li, Fan Zhang, William S Gibson, Easton E Ford, Uddalok Jana, Melissa L Smith, Jun Yan and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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
–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

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

11 authors.

Kamille M RascheDepartment of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY, United States.
David TieriDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Samantha M MorrisseyDepartment of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY, United States.
Hong LiDepartment of Medicine, University of Louisville School of Medicine, Louisville, KY, United States.
Fan ZhangDepartment of Surgery, University of Louisville School of Medicine, Louisville, KY, United States.
William S GibsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Easton E FordDepartment of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY, United States.
Uddalok JanaDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Melissa L SmithDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Jun YanDepartment of Surgery, University of Louisville School of Medicine, Louisville, KY, United States.
Corey T WatsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.

Funding

The role of ECM-mediated mechanosignaling on regional immunosuppression in GBMP20GM135004 · NIGMS · UNIVERSITY OF LOUISVILLE · PI Sharmila Nair · 2020 to 2026
$21.1M
NIGMS NIH HHS P20 GM135004
6 · The paper itself

Abstract

Introduction: Non-small cell lung cancer is the leading cause of cancer-related mortality worldwide, with lung adenocarcinoma (LUAD) as the most common subtype. Although early-stage disease is often treated surgically, advanced LUAD typically requires chemotherapy, radiation, and/or immunotherapy, largely focused on T cell-mediated responses. Therapeutic efficacy, however, is also shaped by tumor-infiltrating (TI) B cells, whose roles in LUAD remain incompletely understood. Methods: We performed cytometry by time of flight (CyTOF) using 44 markers on matched tumor, adjacent lung, and peripheral blood samples from 48 LUAD patients to define TI immune landscapes. 66 immune cell subsets were identified, and patients were stratified into four groups based on TI cell composition. Adaptive immune receptor repertoire sequencing (AIRR-seq) of IgM and IgG was conducted on matched samples from 29 patients to assess clonal expansion and affinity maturation. Subisotype-resolved AIRR-seq was additionally performed on tumor samples from 18 patients. Results: CyTOF analysis revealed four patient groups with distinct TI immune profiles. AIRR-seq demonstrated increased clonal expansion and affinity maturation in tumors compared to adjacent lung and blood. Tumor-specific IGHV enrichment patterns were observed but were not associated with patient group assignment. Instead, clonal expansion was greatest in tumors with higher lymphocyte proportions. Subisotype-resolved analysis showed enrichment of IGHG2 and IGHG3 in tumors from patients with low TI B cell abundance, whereas IGHG4 was enriched in patients with high TI B cell infiltration and correlated with four CyTOF-defined immune subsets. Discussion: These findings reveal substantial inter-individual variation in TI immune landscapes and highlight distinct B cell repertoire and subisotype features within LUAD tumors. Together, these data suggest that B cell composition and antibody subisotype usage may contribute to immune contexture and could inform the development of more tailored immunotherapeutic strategies in LUAD.

Indexed as

Adenocarcinoma of LungB-LymphocytesLung NeoplasmsLymphocytes, Tumor-InfiltratingTumor MicroenvironmentAgedFemaleHumansImmunoglobulin MImmunophenotypingMaleMiddle AgedPhenotypeImmunoglobulin Mantibody repertoireB cellscytometry by time-of-flightlung adenocarcinomasequencing

Identifiers

PMID41684542
PMCPMC12891238

What Socratic holds

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LicenceCC BY
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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 Socratic graph.