# Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen Exposure

**Authors:** Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian‐Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao‐Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y. Liu, Beibei Huang, Frank R. Rojas, Parra Cuentas. Edwin Roger, Ou Shi, Monique B. Nilsson, Alissa Poteete, Khaja B. Khan, Wei Lu, Luisa M. Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I. Wistuba, Zhubo Wei, Linghua Wang, Don L. Gibbons, Ken Chen, Alexandre Reuben, Jason M. Schenkel, John V. Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

PMC · DOI: 10.1002/advs.202512597 · Advanced Science · 2026-01-25

## TL;DR

This study uses advanced techniques to track how lung cancer and immune responses evolve in mice, comparing genetically caused and carcinogen-induced tumors.

## Contribution

The study integrates spatial transcriptomics, whole-exome sequencing, and imaging mass cytometry to reveal distinct molecular and immune dynamics in mouse lung cancer models.

## Key findings

- 129S4 U tumors showed higher mutational and neoantigen burdens but lower copy number variations compared to 129S4 K tumors.
- Macrophage abundance increased with tumor progression, while CD8 T-cell and B-cell densities declined in late-stage LUAD.
- 129S4 U exhibited greater immune infiltration and higher T-cell cytotoxicity signatures in both tumor and adjacent normal tissue.

## Abstract

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with findings of higher mutational burden in human smoking‐related LUAD than nonsmoking LUAD. We profiled over 1.4 million spatial single cells from 284 IMC regions of interest and 51,531 spatial transcriptomic spots from 156 lesions across 141 mice. Macrophage abundance increased with tumor progression, while CD8 T‐cell and B‐cell densities declined in late‐stage LUAD. 129S4 U showed greater immune infiltration in both tumor and adjacent normal tissue, higher T‐cell cytotoxicity signature score in line with its higher mutational and neoantigen burdens. LUAD progression was marked by early morphological shifts and late‐stage changes in cell states and interactions. These data define spatial and genetic landscapes of LUAD development and provide a framework for investigating immune evolution and therapeutic strategies in early carcinogenesis.

Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis.

## Linked entities

- **Genes:** KRAS (KRAS proto-oncogene, GTPase) [NCBI Gene 3845]
- **Diseases:** lung adenocarcinoma (MONDO:0005061)

## Full-text entities

- **Diseases:** carcinogenesis (MESH:D063646), LUAD (MESH:D000077192), Tumor (MESH:D009369)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]
- **Mutations:** G12D

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13042775/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13042775/full.md

## References

68 references — full list in the complete paper: https://tomesphere.com/paper/PMC13042775/full.md

---
Source: https://tomesphere.com/paper/PMC13042775