bioRxivCancer BiologyPreprint
Deciphering Tumor Microenvironment Dynamics in Tumorigenesis and Lymph Node Metastasis of Esophageal Squamous Cell Carcinoma using Single-Cell RNA Sequencing
H. K. NaiD, Tae Hee HongiD, Chung LeeiD, Young Ho YangiD, Ha Eun KimiD, Byung Jo ParkiD, Hyun Ki Kim, Dae Joon KimiD
Abstract
Esophageal squamous cell carcinoma (ESCC) exhibits profound inter-tissue heterogeneity, yet how immune and stromal ecosystems diverge between primary tumors and metastatic lymph nodes remains poorly understood. Here, we generated a single-cell atlas of 344,790 cells and paired T cell receptor profiles from primary tumor mucosa, adjacent mucosa, non-metastatic lymph nodes, and metastatic lymph nodes from 18 patients with treatment-naive ESCC. We identify compartment-specific immune and stromal architectures that shape distinct antitumor responses and suppressive programs. Primary tumors were characterized by marked enrichment of regulatory T cells (TREG) and activated dendritic cells coordinated through CTLA4-associated circuits, accompanied by accelerated CD8+ T cell differentiation toward intermediate and terminal exhaustion with loss of cytotoxicity. In contrast, metastatic lymph nodes preserved substantial pools of pre-exhausted CD8+ T cells with retained effector potential and strong clonal connectivity to the primary tumor, suggesting sustained antigen-driven trafficking. However, these reinvigoration-competent populations were embedded within a niche dominated by TREM2high macrophages that delivered SPP1-dependent suppressive signals to exhausted and regulatory T cells. Stromal lineages also displayed niche-specific specialization: tumor mucosa contained chemokine-rich inflammatory fibroblasts, whereas metastatic lymph nodes upregulated extracellular matrix remodeling programs. Together, our findings demonstrate that ESCC progression is governed by anatomically distinct exhaustion trajectories, clonal behaviors, stromal states, and suppressive circuits. This framework provides mechanistic insight into why lymph node response is a key determinant of clinical outcome and highlights the need for site-tailored immunomodulation strategies that target TREG-mediated suppression in primary tumors and TREM2high macrophage programs in metastatic nodes.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Tumor Niche Network-Defined Subtypes Predict Immunotherapy Response of Esophageal Squamous Cell Cancer
K.-P. Ko, S. Zhang, … J.-I. Park·bioRxiv·Feb 15, 2023
- High-dimensional and spatial analysis reveals immune landscape dependent progression in cutaneous squamous cell carcinoma
A. L. Ferguson, A. R. Sharman, … U. Palendira·bioRxiv·Apr 19, 2022
- A Single-cell and Spatially Resolved Cell Atlas of Human Esophageal Squamous Cell Carcinoma
Yong Shi, Ke An, … Xin Tian·Genomics Proteomics & BioinformaticsPeer-reviewed·Nov 4, 2025
- Mesenchymal-epithelial transition in lymph node metastases of oral squamous cell carcinoma is accompanied by ZEB1 expression
K. Horny, C. Sproll, … J. C. Becker·Journal of Translational MedicinePeer-reviewed·Apr 19, 2023
- Spatial tumor microenvironmental architecture of chemoradiotherapy-resistant residual esophageal squamous cell carcinoma
Sungwoo Bae, Jungyoon Ohn, … Byoung Hyuck Kim·bioRxiv·Jun 4, 2026
- Disrupting Myeloid Persistence and Replenishment Enables Sustained Control of Esophageal Squamous Cell Carcinoma
Bryan Chee-chad Lung, Alvin Ka-Kiu Leung, … Valen Zhuoyou Yu·bioRxiv·Aug 28, 2026