Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma

Zheqi Liu1,2, Zhen Zhang1, Yu Zhang1, Wenkai Zhou1, Xu Zhang1, Canbang Peng3, Tong Ji2, Xin Zou4,5, Zhiyuan Zhang1,6, Zhenhu Ren1,6

PDF
International Journal of Oral Science ›› 2024, Vol. 16 ›› Issue (0) : 9. DOI: 10.1038/s41368-023-00267-8
ARTICLE

Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma

  • Zheqi Liu1,2, Zhen Zhang1, Yu Zhang1, Wenkai Zhou1, Xu Zhang1, Canbang Peng3, Tong Ji2, Xin Zou4,5, Zhiyuan Zhang1,6, Zhenhu Ren1,6
Author information +
History +

Abstract

Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment. Oral squamous cell carcinoma (OSCC), a representative hypoxic tumor, has a heterogeneous internal metabolic environment. To clarify the relationship between different metabolic regions and the tumor immune microenvironment (TME) in OSCC, Single cell (SC) and spatial transcriptomics (ST) sequencing of OSCC tissues were performed. The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data. The metabolic activity of each spot was calculated using scMetabolism, and k-means clustering was used to classify all spots into hyper-, normal-, or hypometabolic regions. CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others. Through CellPhoneDB and NicheNet cell-cell communication analysis, it was found that in the hypermetabolic region, fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts (iCAFs), and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12. The secretion of CXCL12 recruits regulatory T cells (Tregs), leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment. This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC, ST and TCGA bulk data, and highlights potential targets for therapy.

Cite this article

Download citation ▾
Zheqi Liu, Zhen Zhang, Yu Zhang, Wenkai Zhou, Xu Zhang, Canbang Peng, Tong Ji, Xin Zou, Zhiyuan Zhang, …Zhenhu Ren. Spatial transcriptomics reveals that metabolic characteristics define the tumor immunosuppression microenvironment via iCAF transformation in oral squamous cell carcinoma. International Journal of Oral Science, 2024, 16(0): 9 https://doi.org/10.1038/s41368-023-00267-8

References

1. Ren, Z. H., Hu, C. Y., He, H. R., Li, Y. J. & Lyu, J. Global and regional burdens of oral cancer from 1990 to 2017: Results from the global burden of disease study. Cancer Commun. (Lond.) 40, 81-92 (2020).
2. Siegel R. L., Miller K. D., Fuchs H. E.& Jemal, A. Cancer statistics, 2022.CA Cancer J. Clin. 72, 7-33 (2022).
3. Bhandari, V.et al.Molecular landmarks of tumor hypoxia across cancer types.Nat. Genet. 51, 308-318 (2019).
4. Puram, S. V.et al.Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer.Cell 171, 1611-1624 (2017).
5. Cillo, A. R.et al.Immune landscape of viral- and carcinogen-driven head and neck cancer.Immunity 52, 183-199 (2020).
6. Obradovic, A.et al.Immunostimulatory cancer-associated fibroblast subpopulations can predict immunotherapy response in head and neck cancer.Clin. Cancer Res. 28, 2094-2109 (2022).
7. Luoma, A. M.et al.Tissue-resident memory and circulating T cells are early responders to pre-surgical cancer immunotherapy.Cell 185, 2918-2935 (2022).
8. Zhao, E.et al.Spatial transcriptomics at subspot resolution with BayesSpace.Nat. Biotechnol. 39, 1375-1384 (2021).
9. Elosua-Bayes, M., Nieto, P., Mereu, E., Gut, I. & Heyn, H. SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes.Nucleic Acids Res. 49, e50(2021).
10. Wu, Y.et al.Spatiotemporal immune landscape of colorectal cancer liver metastasis at single-cell level.Cancer Discov. 12, 134-153 (2022).
11. Efremova M.,Vento-Tormo, M., Teichmann, S. A. & Vento-Tormo, R. CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes.Nat. Protoc. 15, 1484-1506 (2020).
12. Browaeys, R., Saelens, W.& Saeys, Y. NicheNet: modeling intercellular communication by linking ligands to target genes.Nat. Methods 17, 159-162 (2020).
13. Schwörer, S.et al.Fibroblast pyruvate carboxylase is required for collagen production in the tumour microenvironment.Nat. Metab. 3, 1484-1499 (2021).
14. Quinn W. J.3rd et al. Lactate Limits T Cell Proliferation via the NAD(H) Redox State.Cell Rep. 33, 108500(2020).
15. Angelin, A.et al.Foxp3 Reprograms T Cell metabolism to function in low-glucose, high-lactate environments.Cell Metab. 25, 1282-1293 (2017).
16. Li, X.et al.Single-cell RNA sequencing reveals a pro-invasive cancer-associated fibroblast subgroup associated with poor clinical outcomes in patients with gastric cancer.Theranostics 12, 620-638 (2022).
17. Costa, A.et al.Fibroblast Heterogeneity and Immunosuppressive Environment in Human Breast Cancer.Cancer Cell 33, 463-479 (2018).
18. Dong, S.et al.ROS/PI3K/Akt and Wnt/β-catenin signalings activate HIF-1α-induced metabolic reprogramming to impart 5-fluorouracil resistance in colorectal cancer.J. Exp. Clin. Cancer Res. 41, 15(2022).
19. Pan, T.et al.Immune effects of PI3K/Akt/HIF-1α-regulated glycolysis in polymorphonuclear neutrophils during sepsis.Crit. Care 26, 29(2022).
20. Zhang, T.et al.Targeting the ROS/PI3K/AKT/HIF-1α/HK2 axis of breast cancer cells: Combined administration of Polydatin and 2-Deoxy-d-glucose.J. Cell Mol. Med. 23, 3711-3723 (2019).
21. Janssens, R., Struyf, S.& Proost, P. The unique structural and functional features of CXCL12.Cell Mol. Immunol. 15, 299-311 (2018).
22. Santiago, B.et al.CXCL12 gene expression is upregulated by hypoxia and growth arrest but not by inflammatory cytokines in rheumatoid synovial fibroblasts.Cytokine 53, 184-190 (2011).
23. Bindea, G.et al.Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer.Immunity 39, 782-795 (2013).
24. Fu, J.et al.Large-scale public data reuse to model immunotherapy response and resistance.Genome Med. 12, 21(2020).
25. Jiang, P.et al.Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response.Nat. Med. 24, 1550-1558 (2018).
26. Jing, X.et al.Role of hypoxia in cancer therapy by regulating the tumor microenvironment.Mol. Cancer 18, 157(2019).
27. Watson, M. J.et al.Metabolic support of tumour-infiltrating regulatory T cells by lactic acid.Nature 591, 645-651 (2021).
28. Wang, D.et al.Targeting EZH2 Reprograms Intratumoral Regulatory T Cells to Enhance Cancer Immunity.Cell Rep. 23, 3262-3274 (2018).
29. Korbecki, J.et al. The Effect of Hypoxia on the Expression of CXC Chemokines and CXC Chemokine Receptors-A Review of Literature. Int. J. Mol. Sci. 22, https://doi.org/10.3390/ijms22020843 (2021).
30. Smit, M. J.et al.The CXCL12/CXCR4/ACKR3 Axis in the Tumor Microenvironment: Signaling, Crosstalk, and Therapeutic Targeting.Annu. Rev. Pharmacol. Toxicol. 61, 541-563 (2021).
31. Dürr, C.et al.CXCL12 mediates immunosuppression in the lymphoma microenvironment after allogeneic transplantation of hematopoietic cells.Cancer Res. 70, 10170-10181 (2010).
32. Hao, Y.et al.Integrated analysis of multimodal single-cell data.Cell 184, 3573-3587 (2021).
33. Yu G., Wang L. G., Han Y.& He, Q. Y. clusterProfiler: an R package for comparing biological themes among gene clusters.Omics 16, 284-287 (2012).
34. Charoentong, P.et al.Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade.Cell Rep. 18, 248-262 (2017).
PDF

Accesses

Citations

Detail

Sections
Recommended

/