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PLEK2 and IFI6, Representing Mesenchymal and Immune-suppressive Microenvironment, Predicts Resistance to Neoadjuvant Immunotherapy in Esophageal Squamous Cell Carcinoma

Abstract

Background: Immunotherapy has largely improved clinical outcome of patients with esophageal squamous cell carcinoma (ESCC). However, a proportion of patients still fail to benefit. Thus, biomarkers predicting therapeutic resistance and underlying mechanism needs to be investigated.

Methods: Transcriptomic profiling was applied in FFPE tissues from 103 ESCC patients, including surgical samples from 66 treatment-naïve patients with long-term follow-up, and endoscopic biopsies from 37 local advanced ESCC cases receiving neoadjuvant immunotherapy plus chemotherapy. Unsupervised clustering indicated an aggressive phenotype with mesenchymal character in 66 treatment-naïve samples. Univariant logistic regression was applied to identify candidate biomarkers potentially predicted resistance to neoadjuvant immunotherapy within the range of mesenchymal phenotype enriched genes. These biomarkers were further validated by immunohistochemistry. Putative mechanisms mediating immunotherapy resistance, as indicated by microenvironment and immune cell infiltration, were evaluated by transcriptomic data, and validated by multiplex immunofluorescence.

Results: PLEK2 and IFI6, highly expressed in mesenchymal phenotype, were identified as novel biomarkers relating to non-MPR in neoadjuvant immunotherapy cohort [PLEK2, OR (95% CI): 2.15 (1.07-4.33), P = 0.032; IFI6, OR (95% CI): 2.21 (1.16-4.23), P = 0.016). PLEK2 and IFI6 ESCC patients (versus low expressed patients) further exhibit higher chance of non-major pathological remissions (90%, P = 0.004) in neoadjuvant immunotherapy cohort and high mortality (78.9%, P = 0.05), poor prognosis in retrospective cohort. PLEK2/IFI6 ESCC recapitulated mesenchymal phenotype, characterized by extracellular matrix composition and matrix remodeling. In addition, PLEK2 or IFI6 ESCC displayed an immune-unfavored microenvironment, represented by positive correlating with regulatory T cells, Helper 2 T cell as well as less infiltration of B cells, effector T cells and mast cells.

Conclusions: PLEK2 and IFI6 was discovered of first time to identify a distinct ESCC subpopulation cannot be benefited from neoadjuvant immunotherapy and present a poor survival, which putatively associated with mesenchymal and immune-suppressive microenvironment.

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References
1.
Kaesler S, Wolbing F, Kempf W, Skabytska Y, Koberle M, Volz T . Targeting tumor-resident mast cells for effective anti-melanoma immune responses. JCI Insight. 2019; 4(19). PMC: 6795496. DOI: 10.1172/jci.insight.125057. View

2.
Nathan C, Cunningham-Bussel A . Beyond oxidative stress: an immunologist's guide to reactive oxygen species. Nat Rev Immunol. 2013; 13(5):349-61. PMC: 4250048. DOI: 10.1038/nri3423. View

3.
Bagaev A, Kotlov N, Nomie K, Svekolkin V, Gafurov A, Isaeva O . Conserved pan-cancer microenvironment subtypes predict response to immunotherapy. Cancer Cell. 2021; 39(6):845-865.e7. DOI: 10.1016/j.ccell.2021.04.014. View

4.
Helmink B, Reddy S, Gao J, Zhang S, Basar R, Thakur R . B cells and tertiary lymphoid structures promote immunotherapy response. Nature. 2020; 577(7791):549-555. PMC: 8762581. DOI: 10.1038/s41586-019-1922-8. View

5.
Wang B, Li L, Liao Y, Li J, Yu X, Zhang Y . Mast cells expressing interleukin 17 in the muscularis propria predict a favorable prognosis in esophageal squamous cell carcinoma. Cancer Immunol Immunother. 2013; 62(10):1575-85. PMC: 11028606. DOI: 10.1007/s00262-013-1460-4. View