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Clinical Trial
. 2021 Jun;70(6):1583-1592.
doi: 10.1007/s00262-020-02788-1. Epub 2020 Nov 24.

Blood serum amyloid A as potential biomarker of pembrolizumab efficacy for patients affected by advanced non-small cell lung cancer overexpressing PD-L1: results of the exploratory "FoRECATT" study

Affiliations
Clinical Trial

Blood serum amyloid A as potential biomarker of pembrolizumab efficacy for patients affected by advanced non-small cell lung cancer overexpressing PD-L1: results of the exploratory "FoRECATT" study

Vincenzo Di Noia et al. Cancer Immunol Immunother. 2021 Jun.

Abstract

Background: Identifying the patients who may benefit the most from immune checkpoints inhibitors remains a great challenge for clinicians. Here we investigate on blood serum amyloid A (SAA) as biomarker of response to upfront pembrolizumab in patients with advanced non-small-cell lung cancer (NSCLC).

Methods: Patients with PD-L1 ≥ 50% receiving upfront pembrolizumab (P cohort) and with PD-L1 0-49% treated with chemotherapy (CT cohort) were evaluated for blood SAA and radiological response at baseline and every 9 weeks. Endpoints were response rate (RR) according to RECIST1.1, progression-free (PFS) and overall survival (OS). The most accurate SAA cut-off to predict response was established with ROC analysis in the P cohort.

Results: In the P Cohort (n = 42), the overall RR was 38%. After a median follow-up of 18.5 months (mo), baseline SAA ≤ the ROC-derived cut-off (29.9 mg/L; n = 28/42.67%) was significantly associated with higher RR (53.6 versus 7.1%; OR15, 95% CI 1.72-130.7, p = 0.009), longer PFS (17.4 versus 2.1 mo; p < 0.0001) and OS (not reached versus 7.2mo; p < 0.0001) compared with SAA > 29.9 mg/L. In multivariate analysis, low SAA positively affects PFS (p = 0.001) and OS (p = 0.048) irrespective of ECOG PS, number of metastatic sites and pleural effusion. SAA monitoring (n = 40) was also significantly associated with survival endpoints: median PFS 17.4 versus 2.1 mo and median OS not reached versus 7.2 mo when SAA remained low (n = 14) and high (n = 12), respectively. In the CT Cohort (n = 30), RR was not affected by SAA level (p > 0.05) while low SAA at baseline (n = 17) was associated with better PFS (HR 0.38, 95% CI 0.16-0.90, p = 0.006) and OS (HR 0.25, 95% CI 0.09-0.67, p < 0.001).

Conclusion: Low SAA predicts good survival outcomes irrespective of treatment for advanced NSCLC patients and higher likelihood of response to upfront pembrolizumab only. The strong prognostic value might be exploited to easily identify patients most likely to benefit from immunotherapy. A further study (FoRECATT-2) is ongoing to confirm results in a larger sample size and to investigate the effect of SAA on immune response in vitro assays.

Keywords: Biomarker of response; NSCLC; Pembrolizumab; Predictive/prognostic factors to immune-checkpoint inhibitors; Serum amyloid A.

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Conflict of interest statement

V.D.N. received speakers’ fee by Astrazeneca, MSD, BMS, Istituto Gentili, Boehringer Ingelheim. V.D.N. received grant consultancies by Astrazeneca, MSD, BMS, Boehringer Ingelheim and travels’ fee from MSD and Boehringer Ingelheim. V.D.N. received institutional research grants from Roche. E.B. received speakers’ and travels’ fee from MSD, Astra-Zeneca, Celgene, Pfizer, Helsinn, Eli-Lilly, BMS, Novartis and Roche. E.B received consultant’s fee from Roche, Pfizer. E.B. received institutional research grants from Astra-Zeneca, Roche.

Figures

Fig. 1
Fig. 1
a ROC curve for baseline SAA and RR in P cohort. b Baseline SAA and RR in P cohort
Fig. 2
Fig. 2
PFS a and OS b according to baseline SAA in P cohort
Fig. 3
Fig. 3
PFS a and OS b according to SAA at baseline and during the treatment in P cohort

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