The prognostic value of peripheral blood inflammatory indices early variation in patients (pts) with metastatic renal cell carcinoma (mRCC) treated with nivolumab (Δ-Meet-URO analysis)

Background: Immunotherapy has improved the treatment landscape of mRCC pts and identifying biomarkers for patients’ selection is clinically needed. Inflammatory indices from peripheral blood showed a prognostic value in different tumors and therapies, including immunotherapy. These biomarkers are inexpensive and readily available in clinical practice. We aimed to assess the prognostic role of the dynamic evaluation of these indices in immunotherapy-naïve pretreated mRCC pts. Methods: The Meet-URO 15 multicentric retrospective study enrolled 571 pretreated mRCC pts receiving nivolumab. The Δ-Meet-URO was a secondary analysis on the early variation through the first four cycles of therapy compared with baseline (difference, delta - Δ) of white blood cells, platelets and inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII, platelets x NLR), their comparison with baseline values and correlation with treatment response, overall (OS) and progression-free survival (PFS). The baseline and Δ cut-offs were identified by ROC curves for OS. Results: The analysis was performed on 422 mRCC pts (74% of the entire cohort). Patients with ΔNeutrophils < 730 at 2nd, 3rd and 4th cycles were more responders (p < 0.001, p = 0.003 and p < 0.001) with longer mPFS (11 vs 6.1 months, p = 0.033) and mOS (46.9 vs 20.8 months, p = 0.046) compared to ΔNeutrophils ≥ 730. There was a significant interaction between baseline and ΔNeutrophils on PFS (p = 0.047). Pts with baseline neutrophils ≥ 4330/mm3 had longer mPFS when ΔNeutrophils < 730 (p = 0.002), whilst no difference was observed in those pts with baseline neutrophils < 4330/mm3 according to ΔNeutrophils (p = 0.46). Similar non-significant trends were observed in mOS. Patients with ΔNLR < 0.5 at 3rd and 4th cycles were more responders (p = 0.004 and p = 0.001, respectively) with doubled mPFS (12.1 vs 6.4 months, p = 0.007) and mOS (46.9 vs 21.7 months, p = 0.062) compared to ΔNLR ≥ 0.5. No significant interaction between baseline NLR and ΔNLR was observed in PFS and OS, suggesting a similar association between ΔNLR and PFS or OS, regardless of the baseline NLR cut-off of 3.2. The multivariable analyses confirmed all these results. Conclusions: The early assessment of NLR and neutrophils variations during immunotherapy for mRCC pts is a promising, affordable and non-invasive prognostic tool. Prospective and external validation analyses are warranted

The prognostic role of nephrectomy in patients (pts) with metastatic renal cell carcinoma (mRCC) treated with immunotherapy according to the novel prognostic Meet-URO score: Subanalysis of the Meet-URO 15 study

Background: Most of mRCC pts with favorable and intermediate prognosis, according to the IMDC classification, are offered a nephrectomy. However, in the immunotherapy era, the role of nephrectomy is still unclear. In the Meet-URO 15 study we reported the higher prognostic accuracy of the Meet-URO score compared to the IMDC score, by the addition of the neutrophil-to-lymphocyte ratio (NLR) and the presence of bone metastases to the IMDC score, identifying five categories with progressively worse prognosis. For this reason, we aimed to explore the prognostic impact of the previous nephrectomy (PN) on mRCC pts receiving immunotherapy and according to the Meet-URO score groups. Methods: The Meet-URO 15 study was a multicentric retrospective analysis on 571 pretreated mRCC pts receiving nivolumab. Univariable analysis of the correlation between PN and overall survival (OS) and multivariate analysis adjusted for IMDC score, therapy line, NLR and metastatic sites were performed. The interaction of PN with the Meet-URO prognostic groups was then evaluated. Results: 503/571 pts (88%) underwent PN. A reduced risk of death (HR = 0.44; 95% CI: 0.32-0.60; p< 0.001) and higher mOS and OS rate were observed in pts with PN than without (mOS: 36 vs 13 monhts; 1-year-OS 72% vs 52% and 2-year-OS 57% vs 24%, respectively). The reduced risk of death for pts who underwent PN was confirmed at the multivariate analysis (HR = 0.69; 95% CI: 0.49-0.97; p= 0.032). The percentage of pts receiving PN progressively reduced through the five Meet-URO prognostic groups (PN: group 1: 98%, group 2: 95%, group 3: 84%, group 4: 79%, group 5: 59%). No significant interaction was observed between the PN and Meet-URO score when all the five groups were considered (p= 0.17). A significant interaction was observed when the Meet-URO groups 1,2 and 3 were taken together (HR = 0.40; 95% CI: 0.25-0.63; p< 0.001), highlighting the significant protective role of the PN on OS for these three groups. For the Meet-URO groups 4 and 5, the interaction was indeed not significant (HR = 0.81; 95% CI: 0.51-1.30; p= 0.39). Conclusions: PN has a favourable prognostic impact on pretreated mRCC pts receiving immunotherapy. This benefit may be limited to mRCC pts with more favorable diseases as belonging to Meet-URO prognostic groups 1, 2 and 3. Further analysis of the type of PN (i.e., radical vs cytoreductive) is ongoing and confirmatory prospective evaluations are warranted

High familial burden of cancer correlates with improved outcome from immunotherapy in patients with NSCLC independent of somatic DNA damage response gene status

Family history of cancer (FHC) is a hallmark of cancer risk and an independent predictor of outcome, albeit with uncertain biologic foundations. We previously showed that FHC-high patients experienced prolonged overall (OS) and progression-free survival (PFS) following PD-1/PD-L1 checkpoint inhibitors. To validate our findings in patients with NSCLC, we evaluated two multicenter cohorts of patients with metastatic NSCLC receiving either first-line pembrolizumab or chemotherapy. From each cohort, 607 patients were randomly case-control matched accounting for FHC, age, performance status, and disease burden. Compared to FHC-low/negative, FHC-high patients experienced longer OS (HR 0.67 [95% CI 0.46-0.95], p\u2009=\u20090.0281), PFS (HR 0.65 [95% CI 0.48-0.89]; p\u2009=\u20090.0074) and higher disease control rates (DCR, 86.4% vs 67.5%, p\u2009=\u20090.0096), within the pembrolizumab cohort. No significant associations were found between FHC and OS/PFS/DCR within the chemotherapy cohort. We explored the association between FHC and somatic DNA damage response (DDR) gene alterations as underlying mechanism to our findings in a parallel cohort of 118 NSCLC, 16.9% of whom were FHC-high. The prevalence of\u2009 65\u20091 somatic DDR gene mutation was 20% and 24.5% (p\u2009=\u20090.6684) in FHC-high vs. FHC-low/negative, with no differences in tumor mutational burden (6.0 vs. 7.6 Mut/Mb, p\u2009=\u20090.6018) and tumor cell PD-L1 expression. FHC-high status identifies NSCLC patients with improved outcomes from pembrolizumab but not chemotherapy, independent of somatic DDR gene status. Prospective studies evaluating FHC alongside germline genetic testing are warranted

Smoking status during first-line immunotherapy and chemotherapy in NSCLC patients: A case–control matched analysis from a large multicenter study

Background: Improved outcome in tobacco smoking patients with non-small cell lung cancer (NSCLC) following immunotherapy has previously been reported. However, little is known regarding this association during first-line immunotherapy in patients with high PD-L1 expression. In this study we compared clinical outcomes according to the smoking status of two large multicenter cohorts. Methods: We compared clinical outcomes according to the smoking status (never smokers vs. current/former smokers) of two retrospective multicenter cohorts of metastatic NSCLC patients, treated with first-line pembrolizumab and platinum-based chemotherapy. Results: A total of 962 NSCLC patients with PD-L1 expression ≥50% who received first-line pembrolizumab and 462 NSCLC patients who received first-line platinum-based chemotherapy were included in the study. Never smokers were confirmed to have a significantly higher risk of disease progression (hazard ratio [HR] = 1.49 [95% CI: 1.15–1.92], p = 0.0022) and death (HR = 1.38 [95% CI: 1.02–1.87], p = 0.0348) within the pembrolizumab cohort. On the contrary, a nonsignificant trend towards a reduced risk of disease progression (HR = 0.74 [95% CI: 0.52–1.05], p = 0.1003) and death (HR = 0.67 [95% CI: 0.45–1.01], p = 0.0593) were reported for never smokers within the chemotherapy cohort. After a random case–control matching, 424 patients from both cohorts were paired. Within the matched pembrolizumab cohort, never smokers had a significantly shorter progression-free survival (PFS) (HR = 1.68 [95% CI: 1.17–2.40], p = 0.0045) and a nonsignificant trend towards a shortened overall survival (OS) (HR = 1.32 [95% CI: 0.84–2.07], p = 0.2205). On the contrary, never smokers had a significantly longer PFS (HR = 0.68 [95% CI: 0.49–0.95], p = 0.0255) and OS (HR = 0.66 [95% CI: 0.45–0.97], p = 0,0356) compared to current/former smoker patients within the matched chemotherapy cohort. On pooled multivariable analysis, the interaction term between smoking status and treatment modality was concordantly statistically significant with respect to ORR (p = 0.0074), PFS (p = 0.0001) and OS (p = 0.0020), confirming the significantly different impact of smoking status across the two cohorts. Conclusions: Among metastatic NSCLC patients with PD-L1 expression ≥50% receiving first-line pembrolizumab, current/former smokers experienced improved PFS and OS. On the contrary, worse outcomes were reported among current/former smokers receiving first-line chemotherapy

Prognostic stratification by the Meet-URO score in a real-world elderly population of patients (pts) with metastatic renal cell carcinoma (mRCC) receiving cabozantinib: A subanalysis of the prospective ZEBRA study (Meet-URO 9)

Background: The combination of neutrophil to lymphocyte (NLR), bone metastases and IMDC score in the novel prognostic Meet-URO score has shown a higher prognostic performance than the IMDC score alone in mRCC pts receiving ≥2nd line nivolumab or cabozantinib in two retrospective analyses and 1st line nivolumab-ipilimumab in a real-world prospective study [http://bit.ly/Meet-URO15_score]. Further validation is needed since this score represents an easy prognostic tool for clinical practice with no additional costs. Methods: A real-world analysis of elderly (≥70 yo) mRCC pts treated with any line cabozantinib was conducted in the multicenter observational prospective Zebra study. Baseline Meet-URO score was assessed. The primary endpoint was overall survival (OS) and the Harrell’s c-index was calculated to compare accuracy of survival prediction of the Meet-URO and IMDC scores. Results: 104 mRCC pts received cabozantinib as 1st (38%), 2nd (20%), 3rd (33%) and 4th (8%) line, with a median follow-up of 11.2 months (mo) and a median overall survival (mOS) of 18.4 mo. According to the IMDC score, favorable- (15%), intermediate- (65%) and poor-risk (19%) pts had a mOS not reached (NR), 15.6 and of 5.7 mo, respectively (p = 0.011). Reclassifying the population according to the Meet-URO score, we observed that group 1 (10%) and group 2 (25%) had both mOS NR, whereas group 3 (33%), group 4 (25%) and group 5 (8%) had a mOS of 13.6, 12.5 and 3.7 mo, respectively (p = 0.001). Moreover, the Meet-URO score maintained its discrimination ability also merging group 1-2 vs 3-4 vs 5 (p < 0.001). NLR < 3.2 was the heaviest component of the score (p < 0.001, mOS 24.8 vs 11.5 mo). The Meet-URO score (using both original with 5 groups and modified with 3 groups) has shown a higher prognostic power than the IMDC score alone (c-index of 0.686 and 0.676 vs 0.622). Conclusions: This analysis confirmed the higher accuracy in survival stratification of the Meet-URO score compared with the IMDC score alone also in a specific population like elderly mRCC pts treated with cabozantinib. NLR was confirmed as a strong prognostic factor with cabozantinib. Further applications of the Meet-URO score in mRCC pts treated with first-line immune-combinations are planned and highly awaited

High familial burden of cancer correlates with improved outcome from immunotherapy in patients with NSCLC independent of somatic DNA damage response gene status

Family history of cancer (FHC) is a hallmark of cancer risk and an independent predictor of outcome, albeit with uncertain biologic foundations. We previously showed that FHC-high patients experienced prolonged overall (OS) and progression-free survival (PFS) following PD-1/PD-L1 checkpoint inhibitors. To validate our findings in patients with NSCLC, we evaluated two multicenter cohorts of patients with metastatic NSCLC receiving either first-line pembrolizumab or chemotherapy. From each cohort, 607 patients were randomly case–control matched accounting for FHC, age, performance status, and disease burden. Compared to FHC-low/negative, FHC-high patients experienced longer OS (HR 0.67 [95% CI 0.46–0.95], p = 0.0281), PFS (HR 0.65 [95% CI 0.48–0.89]; p = 0.0074) and higher disease control rates (DCR, 86.4% vs 67.5%, p = 0.0096), within the pembrolizumab cohort. No significant associations were found between FHC and OS/PFS/DCR within the chemotherapy cohort. We explored the association between FHC and somatic DNA damage response (DDR) gene alterations as underlying mechanism to our findings in a parallel cohort of 118 NSCLC, 16.9% of whom were FHC-high. The prevalence of ≥ 1 somatic DDR gene mutation was 20% and 24.5% (p = 0.6684) in FHC-high vs. FHC-low/negative, with no differences in tumor mutational burden (6.0 vs. 7.6 Mut/Mb, p = 0.6018) and tumor cell PD-L1 expression. FHC-high status identifies NSCLC patients with improved outcomes from pembrolizumab but not chemotherapy, independent of somatic DDR gene status. Prospective studies evaluating FHC alongside germline genetic testing are warranted

Predictive ability of a drug-based score in patients with advanced non–small-cell lung cancer receiving first-line immunotherapy

Background: We previously demonstrated the cumulative poor prognostic role of concomitant medications on the clinical outcome of patients with advanced cancer treated with immune checkpoint inhibitors, creating and validating a drug-based prognostic score to be calculated before immunotherapy initiation in patients with advanced solid tumours. This ‘drug score’ was calculated assigning score 1 for each between proton-pump inhibitor and antibiotic administration until a month before cancer therapy initiation and score 2 in case of corticosteroid intake. The good risk group included patients with score 0, intermediate risk with score 1–2 and poor risk with score 3–4.  Methods: Aiming at validating the prognostic and putative predictive ability depending on the anticancer therapy, we performed the present comparative analysis in two cohorts of advanced non–small-cell lung cancer (NSCLC), respectively, receiving first-line pembrolizumab or chemotherapy through a random case-control matching and through a pooled multivariable analysis including the interaction between the computed score and the therapeutic modality (pembrolizumab vs chemotherapy).  Results: Nine hundred fifty and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. After the case-control random matching, 589 patients from the pembrolizumab cohort and 589 from the chemotherapy cohort were paired, with no statistically significant differences between the characteristics of the matched subjects. Among the pembrolizumab-treated group, good, intermediate and poor risk evaluable patients achieved an objective response rate (ORR) of 50.0%, 37.7% and 23.4%, respectively, (p < 0.0001), whereas among the chemotherapy-treated group, patients achieved an ORR of 37.0%, 40.0% and 32.4%, respectively (p = 0.4346). The median progression-free survival (PFS) of good, intermediate and poor risk groups was 13.9 months, 6.3 months and 2.8 months, respectively, within the pembrolizumab cohort (p < 0.0001), and 6.2 months, 6.2 months and 4.3 months, respectively, within the chemotherapy cohort (p = 0.0280). Among the pembrolizumab-treated patients, the median overall survival (OS) for good, intermediate and poor risk patients was 31.4 months, 14.5 months and 5.8 months, respectively, (p < 0.0001), whereas among the chemotherapy-treated patients, it was 18.3 months, 16.8 months and 10.6 months, respectively (p = 0.0003). A similar trend was reported considering the two entire populations. At the pooled analysis, the interaction term between the score and the therapeutic modality was statistically significant with respect to ORR (p = 0.0052), PFS (p = 0.0003) and OS (p < 0.0001), confirming the significantly different effect of the score within the two cohorts.  Conclusion: Our ‘drug score’ showed a predictive ability with respect to ORR in the immunotherapy cohort only, suggesting it might be a useful tool for identifying patients unlikely to benefit from first-line single-agent pembrolizumab. In addition, the prognostic stratification in terms of PFS and OS was significantly more pronounced among the pembrolizumab-treated patients

Differential influence of antibiotic therapy and other medications on oncological outcomes of patients with non-small cell lung cancer treated with first-line pembrolizumab versus cytotoxic chemotherapy

Background: Some concomitant medications including antibiotics (ATB) have been reproducibly associated with worse survival following immune checkpoint inhibitors (ICIs) in unselected patients with non-small cell lung cancer (NSCLC) (according to programmed death-ligand 1 (PD-L1) expression and treatment line). Whether such relationship is causative or associative is matter of debate. Methods: We present the outcomes analysis according to concomitant baseline medications (prior to ICI initiation) with putative immune-modulatory effects in a large cohort of patients with metastatic NSCLC with a PD-L1 expression 6550%, receiving first-line pembrolizumab monotherapy. We also evaluated a control cohort of patients with metastatic NSCLC treated with first-line chemotherapy. The interaction between key medications and therapeutic modality (pembrolizumab vs chemotherapy) was validated in pooled multivariable analyses. Results: 950 and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. Corticosteroid and proton pump inhibitor (PPI) therapy but not ATB therapy was associated with poorer performance status at baseline in both the cohorts. No association with clinical outcomes was found according to baseline statin, aspirin, \u3b2-blocker and metformin within the pembrolizumab cohort. On the multivariable analysis, ATB emerged as a strong predictor of worse overall survival (OS) (HR=1.42 (95% CI 1.13 to 1.79); p=0.0024), and progression free survival (PFS) (HR=1.29 (95% CI 1.04 to 1.59); p=0.0192) in the pembrolizumab but not in the chemotherapy cohort. Corticosteroids were associated with shorter PFS (HR=1.69 (95%\u2009CI 1.42 to 2.03); p&lt;0.0001), and OS (HR=1.93 (95% CI 1.59 to 2.35); p&lt;0.0001) following pembrolizumab, and shorter PFS (HR=1.30 (95% CI 1.08 to 1.56), p=0.0046) and OS (HR=1.58 (95% CI 1.29 to 1.94), p&lt;0.0001), following chemotherapy. PPIs were associated with worse OS (HR=1.49 (95% CI 1.26 to 1.77); p&lt;0.0001) with pembrolizumab and shorter OS (HR=1.12 (95% CI 1.02 to 1.24), p=0.0139), with chemotherapy. At the pooled analysis, there was a statistically significant interaction with treatment (pembrolizumab vs chemotherapy) for corticosteroids (p=0.0020) and PPIs (p=0.0460) with respect to OS, for corticosteroids (p&lt;0.0001), ATB (p=0.0290), and PPIs (p=0.0487) with respect to PFS, and only corticosteroids (p=0.0033) with respect to objective response rate. Conclusion: In this study, we validate the significant negative impact of ATB on pembrolizumab monotherapy but not chemotherapy outcomes in NSCLC, producing further evidence about their underlying immune-modulatory effect. Even though the magnitude of the impact of corticosteroids and PPIs is significantly different across the cohorts, their effects might be driven by adverse disease features