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Omics · study · 2026

Single-cell sequencing reveals dynamic immune features of paraneoplastic pemphigus in a patient with follicular lymphoma

Listed in NCBI GEO

Description

Background

Paraneoplastic pemphigus (PNP) is a highly fatal autoimmune blistering disease that commonly occurs in patients with underlying benign or malignant neoplasms. It poses significant challenges for diagnosis and treatment. To date, the cellular and molecular mechanisms underlying the pathogenesis of PNP remain largely unclear.

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Objective: This study aims to elucidate the cellular and molecular mechanisms of PNP, particularly when it occurs secondary to lymphoma, by analyzing the dynamic immune landscape throughout the course of treatment.

Method

We performed single-cell transcriptome sequencing and single-cell T cell receptor (TCR) analysis on peripheral blood mononuclear cells (PBMCs) and bone marrow cells (BMCs) obtained from a patient with follicular lymphoma (FL) accompanied by PNP. Samples were collected at three critical time points: before treatment, during treatment, and after successful treatment. Result: Before treatment, we observed a specific enrichment of ITGAL+ T cells, abnormal γδT cell subtypes, and BCL2+ B cells in PBMCs.

Notably, naïve T cells and an abnormal B cell subtype were also enriched in BMCs. The single-cell transcriptome results mapped the lymphoma-associated tumor microenvironment and revealed post-treatment immune reconstitution. This reconstitution involved activated DNA damage and T cell immune responses, which was further supported by the observation of a gradually expanded TCR clone as the treatment progressed.

Conclusion: Our study delineates the dynamic immune landscape in a patient with FL-associated PNP throughout treatment, demonstrating that successful treatment correlates with immune reconstitution involving specific T cell responses and TCR clone expansion. These findings provide novel insights into the cellular and molecular mechanisms of PNP, especially in cases secondary to lymphoma.

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From keywords
Life Sciences
Inferred from text
Cancer 65% · Disease 75% · RNA sequencing 65% · Sequencing 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31871711 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[method].geo_series_type:othersource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title