This study identifies SIGLEC1 as a mediator of macrophage-CD8+ T cell interactions in melanoma and shows its correlation with response to immune checkpoint blockade.

bioRxiv · Jul 15, 2026 · PreprintImmunology

Explainable machine learning identifies features and thresholds predictive of immunotherapy response

Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, Lotte L. Hoeijmakers, Christian U. Blank, Mireia Crispin‐Ortuzar, Elizabeth D. Williams, Olga Kondrashova, John V. Pearson, Nicola Waddell

The paper develops a multi-omic random forest model to predict immunotherapy response in melanoma using SHAP for feature threshold identification.

Scientific Reports · May 23, 2026Peer-reviewedBioinformatics

CMAS dampens anti-tumor immunity and associates with response to neoadjuvant immunotherapy in melanoma

Magalí B. Coccimiglio, Sofia Ibáñez‐Molero, Babet O. Springer, Laura J. W. Kruijssen, Georgia Clayton, Reece Davison, Tao Zhang, S C M A Wijnen, Ernesto Rodríguez, Katarzyna Olesek, S. Veenstra, Thomas van den Brekel, Eleonora Nardini, Joelle van Elk, Eelco D. Keuning, , Yvette van Kooyk

The paper shows CMAS in melanoma cells correlates with poor survival and reduced response to immunotherapy by altering tumor-immune interactions.

bioRxiv · Apr 29, 2026 · PreprintCancer Biology