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April 5, 2026Cancer Research0 citations

Abstract 807: Integrated transcriptomic and proteomic characterization of the lung tumor microenvironment using BD®OMICS-One-Protein-Panels for CITE-seq.

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SSSamuel ShiCSCynthia J. SakofskyHSHye-won Song

Key Points

  • The aim is to characterize the lung tumor microenvironment (TME) using integrated transcriptomic and proteomic approaches.
  • Applied CITE-seq on human lung cancer samples to analyze single-cell RNA and protein data.
  • Generated single-cell suspensions using BD Horizon™ Dri Tumor & Tissue Dissociation Reagent.
  • Utilized BD OMICS-One™ WTA Next Assay for sequencing and BD®OMICS-One-Protein-Panels for antibody profiling.
  • Performed non-supervised clustering to identify major cell clusters within the TME.
  • Determined differential expression profiles of immune and tumor cells.
  • Identified 12 major cell clusters within the TME including various immune and tumor cell populations.
  • Detected over 50 protein epitopes facilitating characterization of TME heterogeneity.
  • Differentiated between alveolar macrophages and infiltrating hematogenous macrophages based on gene and protein expression.
  • Characterized functional states of tumor-infiltrating lymphocytes (TILs) using gene sets for naive, activated, and exhausted states.
  • Demonstrated a comprehensive workflow for high-resolution analysis of TME components.

Abstract

Abstract The tumor microenvironment (TME) is a heterogeneous and continuously evolving system. It is composed of malignant cells, numerous infiltrating immune cells, stromal cells, blood vessels, and extracellular matrix. The interactions of tumor and non-tumor cells produce an immune-reactive milieu, altering cellular phenotypes and function, thus contributing to tumor growth and progression or antitumor immunity. Profiling the components and alterations in the TME at high resolution is crucial to identify factors influencing cancer progression or evaluating the efficacy of immunotherapies. Advancements of single cell multiomics techniques provide powerful means to scrutinize the tumor and TME at high resolution, shedding light on discrete cell subsets and their potential functions. Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) enables concurrent single-cell RNA sequencing alongside surface protein profiling by using oligonucleotide-tagged antibodies. By combining proteomic and transcriptomic data from the same cell, CITE-seq is an especially powerful approach for phenotyping discrete cell populations, especially suitable for the TME. Here we applied CITE-seq to clinically relevant human lung cancer samples. A single cel suspension was obtained with BD Horizon™ Dri Tumor Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 807.

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Cite This Study

Shi et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd13a79560c99a0a2e3dhttps://doi.org/10.1158/1538-7445.am2026-807
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