Soluble PD-L1 as an early marker of progressive disease on nivolumab. Issue 2 (7th February 2022)

• Record Type: Journal Article
• Authors: Mahoney, Kathleen M; Ross-Macdonald, Petra; Yuan, Long; Song, Linan; Veras, Eliseo; Wind-Rotolo, Megan; McDermott, David F; Stephen Hodi, F; Choueiri, Toni K; Freeman, Gordon J
• Is Part Of: Journal for immunotherapy of cancer. Volume 10:Issue 2(2022)
• Publication Date: 2022-02-07
• Subjects: melanoma -- biomarkers -- tumor -- immunoassay -- immunotherapy -- kidney neoplasms; Cancer -- Immunotherapy -- Periodicals; Cancer -- Immunological aspects -- Periodicals; Tumors -- Immunological aspects -- Periodicals; Immunotherapy -- Periodicals; 616.99406105
• DOI: 10.1136/jitc-2021-003527
• Languages: English
• ISSNs: 2051-1426

Abstract

Abstract : Background: Soluble PD-L1 (sPD-L1) has been associated with worse prognosis in numerous solid tumors. We determined sPD-L1 levels before and during nivolumab treatment in two prospective clinical trials of metastatic clear cell renal cell carcinoma (RCC) and melanoma patients, and investigated its relationship to clinical factors, biomarkers, and outcome. Methods: Using a new Single Molecule Array assay, serum sPD-L1 level were determined in RCC (CheckMate 009, n=91) and melanoma (CheckMate 038-Part 1, n=78) prior to, and at two time points on treatment. Gene expression data was obtained from biopsies taken prior to, and at day 28 on treatment. Results were integrated with clinical variables, tumor PD-L1 status from immuno-histochemistry, and genomic mutation status. Results: In RCC patients, sPD-L1 levels were higher in patients with progressive disease as their best response. For both RCC and melanoma patients, progressive or stable disease was associated with an increase in sPD-L1 on nivolumab therapy, whereas mean sPD-L1 levels did not change or declined in patients with objective responses. By categorizing RCC patients into transcriptomic molecular subtypes, we identified a subgroup where the associations between sPD-L1 and progressive disease were particularly evident. In baseline biopsies, we identified six biological processes that were associated with sPD-L1 level in both RCC and melanoma: higher sPD-L1 is associated with lower tumor expression of the Hallmark gene sets 'hypoxia', 'fatty acid metabolism', 'glycolysis', 'MTORC1 signaling' and 'androgen response', and with higher expression of 'KRAS signaling_Down'. Conclusion: Baseline and on-therapy sPD-L1 levels in RCC have the potential to predict progressive disease on PD-1 inhibitor nivolumab. In a hypothesis-generating analysis of tumor gene expression, high baseline sPD-L1 is associated with a tumor metabolic state reflecting potentially targetable processes in both melanoma and RCC. In both trials, we observed associations between change in sPD-L1 on treatment and outcome metrics. sPD-L1 levels may further refine a nivolumab-refractory subtype of RCC within transcriptionally based subtypes of RCC.