TFPI2 expression predicts resistance to immunotherapy plus tyrosine kinase inhibitor and informs first-line therapy selection in metastatic renal cell carcinoma.

PURPOSE: Combinations of anti-PD-1/PD-L1 immunotherapy (IO) and anti-VEGF tyrosine kinase inhibitor (TKI) are recommended as first-line therapy for metastatic renal cell carcinoma (RCC). We aimed to evaluate the predictive value of tissue factor pathway inhibitor 2 (TFPI2) for IO + TKI response.

METHODS

TFPI2 expression and its association with IO + TKI response and progression-free survival (PFS) were analyzed in the ZS-MRCC and JAVELIN Renal 101 cohorts. Tumor microenvironment analyses were conducted in ZS-HRRCC and TCGA-KIRC cohorts using RNA-sequencing, flow cytometry, immunohistochemistry, and immunofluorescence.

RESULTS

TFPI2 expression was elevated in IO + TKI non-responders (p = 0.044) and predicted shorter PFS in ZS-MRCC (p = 0.026) and JAVELIN Renal 101 (p = 0.007) cohorts. Multivariate analysis confirmed TFPI2 as an independent prognostic factor (HR = 2.42; p = 0.030). High-TFPI2 tumors exhibited reduced Granzyme B+CD8+ (p = 0.05) and Granzyme B+CD4+ (p = 0.02) T cell infiltration, with elevated exhaustion markers including TIGIT (p = 0.039), CTLA4 (p = 0.021), EOMES (p = 0.047), and TCF1 (p = 0.034), a marker of progenitor exhausted T cells (Tpex). A random forest model integrating TFPI2 and immune-related genes stratified IO + TKI benefit: the RF score-low group derived significant benefit from IO + TKI (HR = 0.477; 95% CI: 0.354-0.644), whereas the RF score-high group did not (HR = 0.936; 95% CI: 0.692-1.265, p for interaction = 0.001).

CONCLUSION

TFPI2 overexpression is associated with immune evasion and poor PFS in RCC patients treated with IO + TKI. The RF model may facilitate precision treatment selection between IO + TKI and TKI monotherapy.