Abstract
Background: Immune checkpoint inhibitors (ICIs), such as anti-programmed cell death protein 1 (PD-1) and anti-cytotoxic T-lymphocyte associated protein 4 (CTLA-4), have transformed the management of stage III melanoma in the neoadjuvant setting. However, a substantial proportion of patients do not derive benefit from ICI therapy. To improve clinical outcomes, there remains a critical unmet need to identify early biomarkers of response to neoadjuvant immunotherapy in stage III melanoma. Methods: In this study, we performed longitudinal serum proteomic profiling in 39 patients undergoing neoadjuvant combination anti-PD-1 and anti-CTLA-4 therapy. Using a multiplex proximity extension assay, we measured 702 proteins at three timepoints: baseline, early on-treatment (3–4 weeks after treatment initiation), and pre-surgery (4–8 weeks post-treatment). Results: The most pronounced differences between major pathological responders (MPR) and non-MPR patients were detected at baseline and were linked to interferon gamma (IFNγ) signalling, but these differences diminish at later timepoints. A 10-protein IFNγ-associated signature derived from baseline serum profile achieved an AUC of 0.68 for predicting pathological response, comparable to a previously reported tumour-based IFNγ gene signature (AUC = 0.67). Conclusions: These findings support the use of circulating protein signatures as minimally invasive, scalable biomarkers to inform early treatment decisions in the neoadjuvant setting.
| Original language | English |
|---|---|
| Article number | 424 |
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | Cancer Cell International |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Bibliographical note
Copyright the Author(s) 2025. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Immune checkpoint inhibitors
- Machine learning
- Proteomic profiling
- Proximity extension assay
- Serum proteins
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