Skip to content
Open access

Integrated Single-Cell and Spatial Transcriptomics Reveal SERPINE1 as a Key Link Between Macro_SPP1 Macrophages and Stromal Remodeling in Gastric Cancer.

Sep 2026 · Biofactors · Vol 52 5, pp. e70145 · 0 citations · 19 references
Medicine

TL;DR

These findings identify SERPINE1 as a macro_SPP1-associated molecule with prognostic and functional relevance and suggest a potential link between macrophage-associated programs, stromal remodeling, and malignant behavior in gastric cancer.

Abstract

Macrophage heterogeneity is increasingly recognized as an important feature of the gastric cancer tumor microenvironment, yet the macrophage states linked to poor outcome and the molecules connecting them to stromal remodeling remain incompletely defined. Here, we integrated single-cell RNA sequencing data from GSE183904, spatial transcriptomic data from GSE251950, and TCGA-STAD bulk transcriptomic data to characterize macrophage diversity and identify clinically relevant macrophage-associated genes. Cell-cell communication analysis revealed intensified intercellular signaling in tumors, with prominent changes in MIF, COLLAGEN, FN1, LAMININ, and SPP1 pathways. Five macrophage subclusters were resolved. Among them, macro_SPP1 and macro_IL1B signatures were associated with shorter overall survival, whereas macro_C3_CX3CR1 was linked to a more favorable outcome. By integrating macro_SPP1 markers with tumor-associated differentially expressed genes and applying Cox regression together with multiple machine learning approaches, SERPINE1 emerged as the most consistent prognostic candidate. High SERPINE1 expression was associated with poor survival and with stromal, myeloid, and vascular features. Spatial analysis further localized SERPINE1-high regions to microenvironments enriched for fibroblast- and endothelial-related components and for TGF-β, hypoxia, inflammatory, and extracellular matrix remodeling programs. Virtual perturbation suggested that SERPINE1 may influence myeloid and matrix-related transcriptional networks. Functionally, SERPINE1 knockdown reduced proliferation, colony formation, migration, and invasion in gastric cancer cells. Together, these findings identify SERPINE1 as a macro_SPP1-associated molecule with prognostic and functional relevance and suggest a potential link between macrophage-associated programs, stromal remodeling, and malignant behavior in gastric cancer.

Read PDF

Similar papers

Open access Sep 2026

Multimodal integration of pathomics and single-cell transcriptomics reveals CDC20 as a link between prostate cancer recurrence and benzo[a]pyrene-responsive phenotypes

These findings identify CDC20 as a recurrence-associated molecular node involved in BaP-responsive malignant biological phenotypes and provide a phenotype-anchored framework linking recurrence biology with environmental exposure-related tumor behavior.

Xu-Chao Dai, Wei Gu, Bo Yu et al. · 0 citations
Open access Sep 2026

Integrated Pan-Cancer, Single-Cell, and Spatial Transcriptomic Analyses Identify ZDHHC12 as a Biomarker Associated with Macrophage Infiltration and the Immune Landscape in Glioma

ZDHHC12 may serve as a candidate pan-cancer prognostic biomarker and its expression was broadly correlated with immune cell recruitment- and activation-related signatures in glioma and in glioma, and was associated with patient prognosis.

Chao Zhang, Da Teng, Yu Wang et al. · 0 citations
Open access Aug 2026

Multi-level Transcriptomic and Machine-learning Analyses Identify MZT1 as a Proliferation-associated Prognostic Marker in Lung Adenocarcinoma

MZT1 is a proliferation-associated marker that integrates clinical risk, transcriptional programs, cellular heterogeneity, and predictive modeling in LUAD, providing a potential framework for biomarker development and risk stratification.

Dahlak Daniel Solomon, Hui-Ru Lin, Yung-Kuo Lee et al. · 0 citations
Open access Sep 2026

Integrative single-cell and bulk transcriptomics uncovers a lipid metabolism-related lncRNA signature alongside the ELFN1-AS1/LYPLA1 axis driving osteosarcoma progression

The oncogenic ELFN1-AS1/LYPLA1 regulatory cascade is characterized as a potential biomarker and therapeutic target for precision management of osteosarcoma and establishes an LMRL-based for osteosarcoma prognostic stratification that reflects immune, genomic and therapeutic heterogeneity.

Xian-Fu Wei, Zhi-Peng Wang, Qiang Yang et al. · 0 citations
Open access Sep 2026

Integrated single-cell and bulk tissue analyses reveal distinct macrophage subtypes and a candidate prognostic signature in colorectal cancer: implications for tumor immune characterization

Introduction Colorectal cancer (CRC) represents a major global health burden, marked by high morbidity and mortality rates that place a considerable strain on healthcare systems. Methods This study leveraged integrated bioinformatic analyses, single-cell RNA sequencing, and clinical sample validation to investigate the...

Hui Chen, Zhi-Peng Li, Zhen Lin et al. · 0 citations
Open access Aug 2026

Ketone body metabolism is associated with macrophage heterogeneity and a protumor phenotype in gastric cancer through single cell and bulk transcriptomic analysis

The heterogeneity of gastric cancer macrophages is identified and suggests that ketone body metabolism is associated with the FOXM1_Mac, which exhibits a terminal, pro-tumor-like phenotype, and the prognostic model indicates the potential clinical relevance of ketone body metabolism.

Ya Tang, Yuan-Man Zhang, Cheng-Jian Wu et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.