Neoadjuvant pembrolizumab plus lenvatinib in patients with resectable stage III melanoma (NeoPele): Analysis of tumor microenvironment (TME) correlated to pathological

Pires da Silva I, Conway JW, Smith LA, Ramanathan A, Adegoke NA, Rawson R, Grover P, Maher N, Braden J, Gonzalez M, Palendira U, Menzies AM, Scolyer RA, Long GV. Annals of Oncology, 35(Sep 24 2024): S269, doi:10.1016/j.annonc.2024.08.141.

Abstract

Background: The phase II SWOG S1801 study showed an improved event-free survival with anti-PD-1 (PD1) neoadjuvant immunotherapy (neoIT) vs adjuvant PD1. One hypothesis explaining this benefit is the presence of tumor-draining lymph nodes (tdLN; defined as the nearest node to the tumor without direct involvement) as a potential reserve of stem-like (TCF7+) T cells, crucial to a good response to IT. We sought to analyze the immune infiltrate of the tumor-involved LN (ie TME) and tdLN from patients (pts) achieving major pathological response (MPR: complete [pCR] or near-complete [near-pCR] pathological response) vs non-MPR (partial [pPR] or no [pNR] pathological response).
Methods: Pts with stage III melanoma treated with 6 weeks of PD1-based neoIT (PD1 + Lenvatinib) were included (NeoPele clinical trial; NCT04207086). Multiplex fluorescent immunohistochemistry of the TME before and after neoIT, and of the tdLN after neoIT was analyzed (T cell panel: CD3, TCF7, CD103, FoxP3, CD39 and Sox10; and B cell panel: CD20, CD21, CXCR5, TCF7, CD3 and SOX10). Lymphoid aggregates, characterized by clusters of CD21+ and CXCR5+ immune cells, were quantified.
Results: Of the 20 pts, 11 (55%) had MPR (8 [40%] with pCR and 3 [15%] with near-pCR) and 9 (45%) had a non-MPR (4 [20%] with pPR and 5 [25%] with pNR). At baseline, MPR pts had a higher % of T cells (11% vs 3%, p = 0.0127) and follicular B helper T cells (CXCR5+; 29% vs 9%, p = 0.0293) than non-MPR pts in the TME. NeoIT led to an increase in the % of T cells, mainly in pts with MPR (median +30%; p = 0.0156) vs non-MPR (median +7%; p = 0.0312) pts, including an increase in the % of tumor-reactive (CD39+) T cells (p = 0.0195), but a decrease in % of tissue-resident stem-like (CD103+ TCF7+) T cells (p = 0.0195). Within the B cell compartment, there was an increase in the % of CD21+ B cells and mature (CD21+ CXCR5+) B cells in MPR vs non-MPR pts. At week 6, MPR pts maintained a higher % of T cells (36% vs 11%, p = 0.0172), follicular B helper T cells (20% vs 9%, p = 0.0133), and mature B cells (10% vs 2%, p = 0.0021) in the TME compared with non-MPR. NeoIT led to a significant increase in the number of lymphoid aggregates in the TME from MPR pts (median +42; p = 0,0156), but no difference in non-MPR pts. No differences were observed in the tdLN based on pathological response.
Conclusions: MPR pts had a higher density of T cells in the TME at baseline, and a more differentiated and activated immune profile after neoIT compared with non-MPR pts. MPR pts had a significant increase in the number of lymphoid aggregates at week 6 compared to non-MPR pts; however, the role of these lymphoid aggregates, including the follicular B helper T cell subset and mature B cells, promoting a good pathological response to neoIT is yet to be clarified.