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ICOS-ImmunoPET Monitors T Cell Activation After Combination Immune Checkpoint Blockade in a Mouse Model of Melanoma Brain Metastasis.

Overview

Authors: Renesmee C Kuo1,2, Rohit Verma3, Sydney C Nagy2, Mausam Kalita2, Samuel Aubert4, Josué Ballesteros‐Álvarez4, Pedro Machado Almeida4, Hannes Vogel5, Israt S Alam2, Michael Lim3, Michelle L James2,6
  1. Department of Electrical Engineering, Stanford University, Stanford, California, USA
  2. Molecular Imaging Program at Stanford, Department of Radiology, Stanford University, Stanford, California, USA
  3. Department of Neurosurgery, Stanford University, Stanford, California, USA
  4. Lunaphore Technologies, Tolochenaz, Switzerland
  5. Department of Pathology, Stanford University, Stanford, California, USA
  6. Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
Institutions: Stanford Medicine (United States); Stanford University (United States); Nanophase Technologies (United States) (United States); Lumtec (Taiwan) (Taiwan)
Dates: received 1 April 2026; accepted 15 July 2026; published online 15 August 2026; in print August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1002/advs.76803 · PMID 42603288 · PMCID PMC13477249 · OpenAlex W7203532043
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: human (organism), mouse (organism), other condition (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: brain metastases, immune checkpoint blockade, immunoPET, melanoma, T cell activation
Topic: Cancer Immunotherapy and Biomarkers (Oncology, Medicine), according to OpenAlex
Funding: NCI NIH HHS (U54 CA261717, R01 CA286998); NIH HHS (R01CA286998-03, U54CA261717); NIA NIH HHS (F31 AG094229); National Institutes of Health fellowship (F31AG094229); National Science Foundation (DGE-2146755)
Citations: not cited yet (Europe PMC); 46 references in the paper

Abstract

Immune checkpoint inhibitors (ICIs) have transformed outcomes for melanoma brain metastases (MBM), yet early response assessment remains challenging because currently available tools such as magnetic resonance imaging (MRI) lack molecular specificity and are confounded by pseudoprogression. Antibody‐based positron emission tomography (immunoPET) is a highly sensitive and specific molecular imaging technique that enables noninvasive, whole‐body visualization of immune dynamics in vivo. The inducible T cell costimulatory receptor (ICOS) is a promising biomarker of therapy‐induced T cell activation. Here, a previously validated tracer, [89Zr]DFO‐ICOS mAb, is used to track activated T cells in a murine MBM model treated with combined anti‐PD‐1/anti‐CTLA‐4 therapy, and immunoPET signal is shown to correspond with therapeutic response and intratumoral T cell activation. To establish clinical relevance of ICOS‐immunoPET, single‐cell RNA sequencing data from 6 human MBM specimens are reanalyzed, revealing significantly higher ICOS expression accompanied by coordinated activation signatures in ICI‐treated tumors. These findings support ICOS‐immunoPET as a promising strategy for earlier, noninvasive, functionally informative assessment of immunotherapy response, with potential to improve patient stratification in brain metastases.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

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Data

Datasets cited

Data Availability Statement

All data associated with this study are present in the paper and/or the Supplementary Information. The raw data files for the previously published and publicly available scRNA‐seq data are available in the Gene Expression Omnibus database (GSE193745 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193745)).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, pages, dates, 11 authors, 5 keywords, 5 funders, 44 references.

Cite

This paper

Kuo, R. C., Verma, R., Nagy, S. C., Kalita, M., Aubert, S., Ballesteros‐Álvarez, J., Almeida, P. M., Vogel, H., Alam, I. S., Lim, M., & James, M. L. (2026). ICOS-ImmunoPET Monitors T Cell Activation After Combination Immune Checkpoint Blockade in a Mouse Model of Melanoma Brain Metastasis. Advanced science (Weinheim, Baden-Wurttemberg, Germany), e76803. https://doi.org/10.1002/advs.76803

BibTeX

@article{kuo2026icos,
author = {Kuo, Renesmee C and Verma, Rohit and Nagy, Sydney C and Kalita, Mausam and Aubert, Samuel and Ballesteros‐Álvarez, Josué and Almeida, Pedro Machado and Vogel, Hannes and Alam, Israt S and Lim, Michael and James, Michelle L},
title = {{ICOS-ImmunoPET Monitors T Cell Activation After Combination Immune Checkpoint Blockade in a Mouse Model of Melanoma Brain Metastasis}},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
year = {2026},
month = aug,
pages = {e76803},
publisher = {Wiley},
issn = {2198-3844},
doi = {10.1002/advs.76803},
url = {https://doi.org/10.1002/advs.76803},
pmid = {42603288},
pmcid = {PMC13477249}
}

RIS

TY - JOUR
AU - Kuo, Renesmee C
AU - Verma, Rohit
AU - Nagy, Sydney C
AU - Kalita, Mausam
AU - Aubert, Samuel
AU - Ballesteros‐Álvarez, Josué
AU - Almeida, Pedro Machado
AU - Vogel, Hannes
AU - Alam, Israt S
AU - Lim, Michael
AU - James, Michelle L
TI - ICOS-ImmunoPET Monitors T Cell Activation After Combination Immune Checkpoint Blockade in a Mouse Model of Melanoma Brain Metastasis
T2 - Advanced science (Weinheim, Baden-Wurttemberg, Germany)
J2 - Adv Sci (Weinh)
PY - 2026
DA - 2026/08/15
SP - e76803
SN - 2198-3844
PB - Wiley
DO - 10.1002/advs.76803
UR - https://doi.org/10.1002/advs.76803
LA - en
ER -

CSL-JSON

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