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Omics · study · 2026

Molecular signatures of T cells targeting multiple myeloma

Listed in NCBI GEO

Immunotherapeutic approaches including cell therapy are believed to be the next generation of paradigm-changing treatment options in hematological malignancies.

Description

Cell therapy using CAR-T cells or expanded autologous T cells (TILs) has shown promising results in non-solid and solid malignancies. However, acquired resistance to immunotherapy or rapid disease progression represent major clinical challenges in hematological cancers.

Transgenic T cell receptors (TCRs) redirect patient-autologous lymphocytes to tumor antigens and can induce regression of refractory solid tumors. However, a bone fide population of myeloma reactive TCRs has yet to be identified. Here, we have established a multiplexed optical barcoding assay that allows for ex vivo profiling of single bone marrow-resident T cells in order to identify sequences and transcriptional signatures of patient-individual tumor-reactive lymphocytes.

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By integrating antigen specificity and the transcriptional profile of single myeloma-associated T cells using the CDR3 sequence as clone-specific barcode, we found that tumor-reactivity results in a specific gene expression state of bone marrow-resident CD8+ T cells. Non-tumor-reactive clones were either CD4+ or enriched for viral specificities, while myeloma reactive TCRs demonstrated an increased clonality within the overall lymphocyte repertoire.

We furthermore describe a subset of CD29 (ITGB1)-expressing effector-memory CD8+ T cells that is associated with response to induction immunochemotherapy. Our results demonstrate antitumor reactivity in a subset of bone marrow-resident T cells against malignant plasma cells and provide the rationale for future personalized TCR-transgenic cell therapy approaches in newly diagnosed multiple myeloma patients. More broadly, the generated resources from this project might contribute to identifying and monitoring tumor reactive T cell responses targeting hematological neoplasias.

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Life Sciences
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Cancer 65% · Disease 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE24288312 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[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