Regulation of tumor-associated fibroblasts by TACSTD2 in esophageal squamous cell carcinoma and its potential role in immunotherapy resistance.
Abstract
e16045 Background: Esophageal squamous cell carcinoma (ESCC) has high global incidence and mortality, with poor prognosis due to late diagnosis and limited chemotherapy efficacy. Immune checkpoint inhibitors targeting PD-1/PD-L1 improve survival in some ESCC patients, but benefits are limited to a subset, lacking biomarkers to identify responsive populations. Identifying biomarkers to predict immunotherapy efficacy is crucial for advancing treatment. Methods: Biopsy tissue samples were collected from four ESCC patients before treatment. All patients received three cycles of neoadjuvant therapy with TC regimen plus sintilimab. Post-treatment pathological responses were classified as pCR (pathological complete response), or tumor regression of grades 1 to 3 (P0, P1, P2, and P3). Surgical resection tissue samples were also collected from patients with pCR (P0-after) and tumor regression grade 3 (P3-after). Spatial transcriptomics was performed on these six tissue samples. Additionally, single-cell RNA sequencing data from two untreated patients and one immune therapy-treated ESCC patient from the GSE221561 dataset were included, and cell types were annotated. Results from spatial transcriptomics and single-cell sequencing were analyzed to identify key genes and pathways influencing immunotherapy efficacy, as well as examine cellular distribution, communication, and type-specific effects. The distribution and characteristics of immune cells before and after immunotherapy were explored. Results: (1) Differential genes between non-pCR (P1-P3) and pCR (P0) groups, as well as between Response-good (P0-P1) and Response-poor (P2-P3) groups, included TACSTD2, KRT family, S100A family, membrane proteins, and DSCs. TACSTD2 expression increased across 4 groups, correlating with immunotherapy resistance. Pathway analysis highlighted extracellular matrix organization. (2) Fibroblasts were the second most abundant cell type, with significant differences across 4 groups. These differences matched extracellular matrix-related gene expression, suggesting that tumor-associated fibroblasts (CAFs) influence immunotherapy efficacy by secreting extracellular matrix. (3) TACSTD2 spatial expression significantly overlapped with α-SMA, a CAF marker, suggesting TACSTD2 may induce CAF differentiation. Cell communication analysis showed interactions between ESCC cells and CAFs via TGF-β receptors and ligands. (4) Comparison of non-responding (P3-after) and complete response (P0-after) patients showed differential gene enrichment in extracellular matrix composition and T-cell infiltration, induced by different CAF types. Conclusions: TACSTD2 may regulate CAF differentiation via the TGF-β pathway, promoting immunotherapy resistance through specific extracellular matrix production and T-cell imbalance.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (9)
Jing Han
YuDong Wang
Xue Zhang
Li Feng
State Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science
Zhisong Fan
Department of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City,Hebei Province, China
Long Wang
Liang Ma
Xiao wei Ge
Department of Medical Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
Jing Zuo