RESUMO
BACKGROUND: Taxane- based chemotherapy is widely used in patients with platinum- and immunotherapy refractory, metastatic urothelial carcinoma (mUC). Outcomes are poor and biomarkers associated with outcome are lacking. We aim to identify cancer hallmarks associated with survival in patients receiving paclitaxel. METHODS: Whole-transcriptome profiles were generated for a subset of patients enrolled in a randomised phase II study investigating paclitaxel and pazopanib in platinum refractory mUC (PLUTO, EudraCT 2011-001841-34). Estimates of gene expression were calculated and input into the Almac proprietary analysis pipeline and signature scores were calculated using ClaraT V3.0.0. Ten key gene signatures were assessed: Immuno-Oncology, Epithelial to Mesenchymal Transition, Angiogenesis, Proliferation, Cell Death, Genome Instability, Energetics, Inflammation, Immortality and Evading Growth. Hazard ratios were calculated using Cox regression model and Kaplan-Meier methods were used to estimate progression free survival (PFS) and overall survival (OS). RESULTS: 38 and 45 patients treated with paclitaxel or pazopanib were included. Patients with high genome instability expression treated with paclitaxel had significantly improved survival with a HR of 0.29 (95% CI: 0.14-0.61, p=0.001) and HR 0.34 (95% CI: 0.17-0.69, p=0.003) for PFS and OS, respectively. Similarly, patients with high evading growth suppressor expression treated with paclitaxel had improved PFS and OS with a HR of 0.35 (95% CI: 0.19-0.77, p=0.007) and HR 0.46 (95% CI: 0.23-0.91, p=0.026), respectively. No other gene signatures had significant impact on outcome. In both paclitaxel and pazopanib cohorts, angiogenesis activation was associated with worse PFS and OS, and VEGF targeted therapy did not improve outcomes. CONCLUSION: High Genome-instability and Evading-growth suppressor biologies are associated with improved survival in patients with platinum refractory mUC receiving paclitaxel. These may refine mUC risk stratification and guide treatment decision in the future.
RESUMO
BACKGROUND: Reliable biomarkers in renal cell carcinoma (RCC) remain elusive. While several markers have been shown to be associated with prognosis, and may aid in risk assessment, predictive biomarkers of response to immune checkpoint inhibitors (ICIs) have not been established. Previous studies have shown that a high pretreatment neutrophil-lymphocyte ratio (NLR) is a negative prognostic factor in RCC. However, a clinically useful cut-off for the predictive and prognostic value of NLR has not been well defined. METHODS: We conducted a retrospective analysis of 132 patients with previously untreated metastatic clear cell RCC (ccRCC) who received first line ICI-based therapy. ICI-based therapy included anti-PD-1/PD-L1 alone or in combination with anti-CTLA-4 or VEGF-TKI. Platelet, haemoglobin, neutrophil and lymphocyte counts were collected prior to treatment and at 12-weeks after treatment initiation. Radiologic response at 12-weeks and overall survival (OS) data was also collected. RESULTS: Low haemoglobin, high platelet count, and NLR ≥3 were statistically significant negative predictive biomarkers when assessed at 12-weeks, but not at baseline. Median OS was shorter in patients with low haemoglobin (20.3 months vs. 51.6 months, P = .009), high platelet count (14.3 months vs. 43.8 months, P = .003), and NLR ≥ 3 (17.5 months vs. 40.3 months, P < .001) at 12-weeks. In an IMDC-risk adjusted analysis, only NLR ≥3 at 12-weeks remained statistically significant (OR of 2.11, P = .003) A dynamic change towards lower absolute NLR overtime was associated with longer OS. In patients who had baseline NLR ≥ 3, those who achieved NLR < 3 at 12-weeks demonstrated significant longer median OS compared to those whose NLR remained persistently ≥ 3 (40.3 months vs. 14.7 months, P = .004). CONCLUSION: NLR ≥3, low haemoglobin and elevated platelet count after 12-weeks of ICI-based first line therapy were negatively prognostic and predictive in patients with metastatic RCC. Normalization of NLR in patients with baseline elevation was associated with longer median OS and response to therapy. These results suggest that monitoring of routine haematologic biomarkers during therapy may provide important predictive and prognostic information, beyond what is available with baseline risk assessment scoring systems.
