Cell of origin alters myeloid immunoreactive states in the lung adenocarcinoma microenvironment

Published: 7 May 2025| Version 1 | DOI: 10.17632/f2h22rhdwk.1
Contributors:
Minxiao Yang, Jonathan Castillo, Crystal Marconett

Description

The study aims to investigate how the cellular origin of lung adenocarcinoma (LUAD), specifically whether it arises from alveolar type I (AT1) or alveolar type II (AT2) cells, influences the tumor immune microenvironment (TIME), immune cell composition, and metastatic potential. The hypothesis is that AT1- and AT2-derived LUADs exhibit distinct immune landscapes and functional pathways, impacting tumor progression and therapeutic response. Data Description Supplemental File 1: Myeloid_Annotated.RDS (and .zip) Description: Annotated single-nucleus RNA sequencing (snRNA-seq) data focused on myeloid cells from AT1- and AT2-derived LUAD samples. Supplemental File 2: R code for snRNA-seq analyses (R file and .zip) Description: R scripts for preprocessing, clustering, and differential expression analysis of snRNA-seq data. Supplemental File 3: Trajectory analysis (ipynb and .zip) Description: Jupyter notebooks for trajectory inference to trace cell differentiation paths and lineage relationships. Supplemental Files 4-5: CCCObj_in_AT1LUAD.RDS/.zip and CCCObj_in_AT2LUAD.RDS/.zip Description: Cell-cell communication (CCC) analysis objects for AT1- and AT2-derived LUAD, respectively. Supplemental File 6: CCC_analysis via LIANA.Rmd and .zip Description: LIANA analysis scripts for cell-cell communication using snRNA-seq data. Supplemental File 7: STSeq_LUAD_xzcompressed.Rds Description: Spatial transcriptomics (ST) data for LUAD samples, capturing gene expression with spatial context. Supplemental File 8: TIME Visium Analysis (R file and .zip) Description: R scripts for Visium spatial transcriptomics analysis, including data normalization and spatial clustering. Supplemental Tables Supplemental Table 1: Overall Cell Composition (.pdf and .xlsx) Description: Quantitative breakdown of overall cell populations within LUAD samples. Supplemental Table 2: Myeloid Cell Composition (.pdf and .xlsx) Description: Detailed cell-type composition focusing specifically on myeloid populations. Supplemental Table 3: Myeloid Cell Composition per Mouse ID (.pdf and .xlsx) Description: Myeloid cell counts stratified by individual mouse IDs, providing insights into sample variability. Supplemental Table 4: FDR-Corrected MP DEGs_AT1 vs. AT2 (.pdf) Description: Differentially expressed genes (DEGs) between AT1- and AT2-derived LUAD, corrected for false discovery rate (FDR). Supplemental Table 5: PANTHER Pathways for MP DEGs_AT1 vs. AT2 (.pdf and .xlsx) Description: Pathway analysis results for DEGs, highlighting enriched biological processes and signaling pathways. Notable Findings and Key Insights AT1-derived LUAD exhibits a more immunoreactive TIME, with increased T cell infiltration and reduced immunosuppressive MDSCs, compared to AT2-derived LUAD. Spatial transcriptomics reveals distinct localization patterns of immune cells, suggesting differential immune cell recruitment based on tumor cell origin.

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Categories

Oncology, Lung Cancer, Single-Cell RNA Sequencing, Spatial Transcriptomics, Tumor Immune Microenvironment

Funding

National Cancer Institute

R01 CA262258

National Cancer Institute

R01 CA283169

American Cancer Society

RMC-RSG-20-135-01

National Heart Lung and Blood Institute

R35 HL135747

United States Department of Defense

W81XWH-22-1-0306

Licence