Analysis of tumor stem cell recruitment and integration in microvascular architectural heterogeneity during oral mucosal carcinogenesis: an in vivo experimental study

Tumor stem cells (TSCs) play a central role in oral mucosal carcinogenesis by promoting tumor growth, invasion, and angiogenesis. Microvascular architectural phenotype heterogeneity (MAPH) and vasculogenic mimicry (VM) contribute to vascular complexity within tumors and resistance to conventional anti-angiogenic therapies. However, the mechanisms through which TSCs influence MAPH and VM formation during oral mucosal carcinogenesis remain poorly understood. In this study, we aimed to investigate the role of TSCs in mediating MAPH and VM throughout oral mucosal carcinogenesis. Animal models representing normal mucosa, precancerous lesions, and high-differentiated, moderate-differentiated, and low-differentiated squamous carcinomas were established. TSCs derived from HSC4 cells (isolated through laser capture microdissection (LCM) and validated using stemness markers and sphere-forming assays) were injected into the experimental models. Data were analyzed using one-way analysis of variance (ANOVA) and nonparametric tests, with multiple testing correction applied for proteomic analyses. Microvascular morphology analysis revealed stage-specific heterogeneity. In the TSC-treated groups, fused morphology predominated in the precancerous and highly differentiated stages, budding morphology appeared in the moderately differentiated stage, and finger-like morphology was characteristic of the poorly differentiated stage. LCM proteomics identified 2,215 differential proteins, with angiopoietin-like protein 2 (ANGPTL2), cytokeratin 15 (CK15), and eukaryotic translation elongation factor 1 epsilon 1 (EEF1E1) as key candidates. In the TSC-treated groups, CK15 was upregulated, whereas ANGPTL2 and EEF1E1 were downregulated. In the control groups, CK15 gradually increased across stages, ANGPTL2 peaked in highly differentiated carcinomas, and EEF1E1 peaked in moderately differentiated carcinomas. TSCs intervention shifted ANGPTL2 and EEF1E1 peaks to the precancerous and highly differentiated stages, respectively. These findings suggest that targeting these molecules may provide novel anti-angiogenic strategies for preventing or treating oral mucosal carcinogenesis.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2026-01-16
DOI
https://doi.org/10.1186/s12967-026-07704-2
Primary Topic
Angiogenesis and VEGF in Cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of tumor stem cell recruitment and integration in microvascular architectural heterogeneity during oral mucosal carcinogenesis: an in vivo experimental study

Shigang Yin, Liang He, Li Chen, Ting Wang et al.
Journal of Translational Medicine
Angiogenesis and VEGF in Cancer
article

Analysis of tumor stem cell recruitment and integration in microvascular architectural heterogeneity during oral mucosal carcinogenesis: an in vivo experimental study

Shigang Yin, Liang He, Li Chen, Ting Wang, Xiaoli Zheng, Minhai Nie, Yong Tang, Xuqian Liu, Xiao Chen
article en

Abstract

Tumor stem cells (TSCs) play a central role in oral mucosal carcinogenesis by promoting tumor growth, invasion, and angiogenesis. Microvascular architectural phenotype heterogeneity (MAPH) and vasculogenic mimicry (VM) contribute to vascular complexity within tumors and resistance to conventional anti-angiogenic therapies. However, the mechanisms through which TSCs influence MAPH and VM formation during oral mucosal carcinogenesis remain poorly understood. In this study, we aimed to investigate the role of TSCs in mediating MAPH and VM throughout oral mucosal carcinogenesis. Animal models representing normal mucosa, precancerous lesions, and high-differentiated, moderate-differentiated, and low-differentiated squamous carcinomas were established. TSCs derived from HSC4 cells (isolated through laser capture microdissection (LCM) and validated using stemness markers and sphere-forming assays) were injected into the experimental models. Data were analyzed using one-way analysis of variance (ANOVA) and nonparametric tests, with multiple testing correction applied for proteomic analyses. Microvascular morphology analysis revealed stage-specific heterogeneity. In the TSC-treated groups, fused morphology predominated in the precancerous and highly differentiated stages, budding morphology appeared in the moderately differentiated stage, and finger-like morphology was characteristic of the poorly differentiated stage. LCM proteomics identified 2,215 differential proteins, with angiopoietin-like protein 2 (ANGPTL2), cytokeratin 15 (CK15), and eukaryotic translation elongation factor 1 epsilon 1 (EEF1E1) as key candidates. In the TSC-treated groups, CK15 was upregulated, whereas ANGPTL2 and EEF1E1 were downregulated. In the control groups, CK15 gradually increased across stages, ANGPTL2 peaked in highly differentiated carcinomas, and EEF1E1 peaked in moderately differentiated carcinomas. TSCs intervention shifted ANGPTL2 and EEF1E1 peaks to the precancerous and highly differentiated stages, respectively. These findings suggest that targeting these molecules may provide novel anti-angiogenic strategies for preventing or treating oral mucosal carcinogenesis.

Journal of Translational MedicineVol. 24(1)
Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN)
Good health and well-being
Openalex Percentile: Top 87%
Angiogenesis and VEGF in Cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.