PIV and PILE Score at Baseline Predict Clinical Outcome of Anti-PD-1/PD-L1 Inhibitor Combined With Chemotherapy in Extensive-Stage Small Cell Lung Cancer Patients

Objectives

The objective of this study is to evaluate whether PIV (Pan-Immune-Inflammation Value) and PILE [a score derived from PIV, lactate dehydrogenase (LDH), and Eastern Cooperative Oncology Group Performance Status (ECOG PS)] can predict clinical outcome of anti-PD-1/PD-L1 inhibitor combined with chemotherapy in patients with extensive-stage (ES) small cell lung cancer (SCLC).

Methods

A total of 53 patients with ES-SCLC in the control group of clinical trial (NCT03041311) were included in this study. PIV was calculated as follows: (neutrophil count × platelet count × monocyte count)/lymphocyte count. The PILE scores were composited based on PIV, LDH levels, and ECOG PS. The Kaplan–Meier method and Cox hazards regression models were used for survival analyses. Moreover, the predictive ability of PIV and PILE was validated in an independent real-world group consisting of 84 patients.

Results

Patients in the low PIV group (PIV < median) had longer progression-free survival (PFS) and overall survival (OS) than those in the high PIV group (PIV ≥ median), along with the HR, which was 2.157 and 2.359, respectively (PFS HR 95% CI: 1.181–3.940, p = 0.012; OS HR 95% CI: 1.168–4.762, p = 0.020). High PILE score was observed relating to worse treatment efficacy (disease control rate (DCR): 84.21% vs. 100%, p = 0.047; durable clinical benefit (DCB) rate: 10% vs. 48.5%, p = 0.060) and poor clinical outcome (median PFS: 4.75 vs. 5.53 m, p = 0.043; median OS: 7.13 vs. 15.93 m, p = 0.002). Similar results were obtained about the predictive and prognostic abilities of PIV and PILE scores in the validation group.

Conclusions

High PIV and high PILE were correlated with worse clinical outcomes in ES-SCLC patients treated with anti-PD-1/PD-L1 inhibitor combined with chemotherapy, reflecting that PIV and PILE might be useful to identify patients unlikely to benefit from anti-PD-1/PD-L1 therapy.

PILE: a candidate prognostic score in cancer patients treated with immunotherapy

BACKGROUND

Although the immune checkpoint inhibitors (ICIs) became a vital part of cancer care, many patients do not respond to treatment, indicating need for biomarkers. The Pan-Immune-Inflammation Value (PIV) is a recently developed peripheral blood count-based biomarker. Herein, we evaluated a PIV-based candidate scoring system as a prognostic biomarker in ICI-treated patients.

METHODS

A total of 120 advanced cancer patients treated with anti-PD-1 or anti-PD-L1 inhibitors for any cancer type were included in this study. The PILE scoring system incorporating the PIV (< median vs. ≥ median), lactate dehydrogenase levels (normal vs. > normal) and Eastern Cooperative Oncology Group performance status (0 vs. ≥ 1) was constructed from the multivariate analyses and used for stratification. The association between overall survival (OS), progression-free survival and PILE risk category was evaluated with multivariate analysis.

RESULTS

The median follow-up was 9.62 months and the median OS of all cohort were 12.42 ± 2.75 months. Patients with higher PIV had significantly decreased OS (7.75 ± 1.64 vs. 18.63 ± 4.26 months, p = 0.037). The patients in the PILE high-risk group (PILE score 2-3) had decreased OS (18.63 ± 4.02 vs. 5.09 ± 1.23 months, HR: 2.317, 95% CI: 1.450-3.700, p < 0.001) and PFS (7.69 ± 1.30 vs. 2.69 ± 0.65 months, HR: 1.931, 95% CI: 1.263-2.954, p = 0.002) compared to PILE low-risk group (PILE score 0-1). The Harrell C-Index values were 0.65 and 0.61 for OS and PFS prediction, respectively.

CONCLUSION

In this study, we demonstrated a decreased overall survival in ICI-treated patients with a higher PILE score. If prospective studies validate our results, PILE score could be a biomarker for immunotherapy.