Abstract 773: Single-cell and spatial transcriptomic profiling reveal fibrosis-related tumor states in lung squamous cell carcinoma associated with idiopathic pulmonary fibrosis.

Abstract Background: Patients with idiopathic pulmonary fibrosis (IPF) have an elevated risk of lung cancer, particularly lung squamous cell carcinoma (LUSC), which is associated with limited treatment options and poor outcomes. Although LUSC occurring in IPF patients is collectively referred to as LUSC associated with IPF regardless of location, tumors arising within usual interstitial pneumonia (UIP) lesions may harbor distinct molecular traits shaped by the local fibrotic microenvironment compared with those arising outside UIP. Methods: We performed integrated single-cell RNA sequencing (scRNA-seq) and Digital Spatial Profiling (GeoMx DSP) to characterize tumors and adjacent lung tissue from LUSC patients with UIP patterns. scRNA-seq was performed on paired tumor and adjacent lung tissue from an In-UIP case and an Out-UIP case, while GeoMx profiling was conducted in an independent cohort (In-UIP n=3, Out-UIP n=3). scRNA-seq data were processed using Scanpy (v1.10.4) and spatial transcriptomics data were processed using GeomxTools (v3.8.0). Cellular trajectories were analyzed using scTour (v1.0.0). Spatial deconvolution was performed using Cell2location (v0.9.6), with validation in an external fibrosing ILD spatial dataset. Results: To infer lineage relationships from the scRNA-seq data, we applied partition-based graph abstraction (PAGA), which demonstrated a connection between basal cells and malignant cells, suggesting basal cells as a cellular origin of LUSC. Tumor cells were further resolved into four transcriptionally distinct malignant states, one of which was characterized by upregulation of oxidative stress-response and detoxification programs, including induction of multiple WNT ligand genes. scTour vector-field and pseudotime modeling showed expansion of this state at late phase exclusively in the In-UIP tumor. Spatial profiling by GeoMx DSP followed by Cell2location deconvolution confirmed significant enrichment of this stress-tolerant malignant state in In-UIP tumors compared with Out-UIP tumors. In adjacent non-malignant regions, UIP lungs exhibited marked expansion of basal and club populations, reflecting UIP-specific epithelial remodeling. Analysis of an independent spatial ILD cohort validated this epithelial shift specifically in IPF. Conclusions: Single-cell and spatial analyses demonstrate that UIP lesions create a selective niche that reshapes local epithelial composition and promotes regional enrichment of a stress-tolerant malignant cell state. These data indicate that the fibrotic lung microenvironment of IPF conditions malignant cell states and their spatial organization, nominating microenvironment-driven programs as potential therapeutic targets in LUSC associated with IPF. Citation Format: KENTA MANABE, Atsushi Matsuoka, Kazuhiko Shien, Shuta Tomida, Hidejiro Torigoe, Kazuya Hisamatsu, Ryota Fujiwara, Kosei Ishimura, Shunsuke Mori, Ryunosuke Fujii, Asuka Mimata, Kazuhiro Okada, Ryo Yoshichika, Mao Yoshikawa, Yuma Fukumoto, Haruchika Yamamoto, Kumi Nakajima, Shin Tanaka, Ken Suzawa, Kentaroh Miyoshi, Mikio Okazaki, Seiichiro Sugimoto, Shinichi Toyooka. Single-cell and spatial transcriptomic profiling reveal fibrosis-related tumor states in lung squamous cell carcinoma associated with idiopathic pulmonary fibrosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 773.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-773
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 773: Single-cell and spatial transcriptomic profiling reveal fibrosis-related tumor states in lung squamous cell carcinoma associated with idiopathic pulmonary fibrosis.

Kazuhiko Shien, Ryo Yoshichika, Mikio Okazaki, Shunsuke Mori et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 773: Single-cell and spatial transcriptomic profiling reveal fibrosis-related tumor states in lung squamous cell carcinoma associated with idiopathic pulmonary fibrosis.

Kazuhiko Shien, Ryo Yoshichika, Mikio Okazaki, Shunsuke Mori, Haruchika Yamamoto, Mao Yoshikawa, S. Toyooka, Ryota Fujiwara, Kazuhiro Okada, Kazuya Hisamatsu, Yuma Fukumoto, Kosei Ishimura, Kenta Manabe, Shin Tanaka, Hidejiro Torigoe, Shuta Tomida, Kumi Nakajima, Ken Suzawa, Atsushi Matsuoka, Kentaroh Miyoshi, Asuka Mimata, Ryunosuke Fujii, Seiichiro Sugimoto
article en

Abstract

Abstract Background: Patients with idiopathic pulmonary fibrosis (IPF) have an elevated risk of lung cancer, particularly lung squamous cell carcinoma (LUSC), which is associated with limited treatment options and poor outcomes. Although LUSC occurring in IPF patients is collectively referred to as LUSC associated with IPF regardless of location, tumors arising within usual interstitial pneumonia (UIP) lesions may harbor distinct molecular traits shaped by the local fibrotic microenvironment compared with those arising outside UIP. Methods: We performed integrated single-cell RNA sequencing (scRNA-seq) and Digital Spatial Profiling (GeoMx DSP) to characterize tumors and adjacent lung tissue from LUSC patients with UIP patterns. scRNA-seq was performed on paired tumor and adjacent lung tissue from an In-UIP case and an Out-UIP case, while GeoMx profiling was conducted in an independent cohort (In-UIP n=3, Out-UIP n=3). scRNA-seq data were processed using Scanpy (v1.10.4) and spatial transcriptomics data were processed using GeomxTools (v3.8.0). Cellular trajectories were analyzed using scTour (v1.0.0). Spatial deconvolution was performed using Cell2location (v0.9.6), with validation in an external fibrosing ILD spatial dataset. Results: To infer lineage relationships from the scRNA-seq data, we applied partition-based graph abstraction (PAGA), which demonstrated a connection between basal cells and malignant cells, suggesting basal cells as a cellular origin of LUSC. Tumor cells were further resolved into four transcriptionally distinct malignant states, one of which was characterized by upregulation of oxidative stress-response and detoxification programs, including induction of multiple WNT ligand genes. scTour vector-field and pseudotime modeling showed expansion of this state at late phase exclusively in the In-UIP tumor. Spatial profiling by GeoMx DSP followed by Cell2location deconvolution confirmed significant enrichment of this stress-tolerant malignant state in In-UIP tumors compared with Out-UIP tumors. In adjacent non-malignant regions, UIP lungs exhibited marked expansion of basal and club populations, reflecting UIP-specific epithelial remodeling. Analysis of an independent spatial ILD cohort validated this epithelial shift specifically in IPF. Conclusions: Single-cell and spatial analyses demonstrate that UIP lesions create a selective niche that reshapes local epithelial composition and promotes regional enrichment of a stress-tolerant malignant cell state. These data indicate that the fibrotic lung microenvironment of IPF conditions malignant cell states and their spatial organization, nominating microenvironment-driven programs as potential therapeutic targets in LUSC associated with IPF. Citation Format: KENTA MANABE, Atsushi Matsuoka, Kazuhiko Shien, Shuta Tomida, Hidejiro Torigoe, Kazuya Hisamatsu, Ryota Fujiwara, Kosei Ishimura, Shunsuke Mori, Ryunosuke Fujii, Asuka Mimata, Kazuhiro Okada, Ryo Yoshichika, Mao Yoshikawa, Yuma Fukumoto, Haruchika Yamamoto, Kumi Nakajima, Shin Tanaka, Ken Suzawa, Kentaroh Miyoshi, Mikio Okazaki, Seiichiro Sugimoto, Shinichi Toyooka. Single-cell and spatial transcriptomic profiling reveal fibrosis-related tumor states in lung squamous cell carcinoma associated with idiopathic pulmonary fibrosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 773.

Cancer ResearchVol. 86(7_Supplement)
Okayama Shoka University (JP), Okayama University (JP), Okayama University Hospital (JP)
No poverty
Openalex Percentile: Top 30%
Single-cell and spatial transcriptomics
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