Digital spatial profiling of advanced solid tumors and lymphomas from a phase 1 trial of copanlisib and nivolumab.

S Sayak Ghatak (10Fred Hutchinson Cancer Center, Seattle, United States) L Lindsay Dutko (Leidos Biomedical Research, Frederick, MD) K Kaci Paulus (Leidos Biomedical Research, Frederick, MD) M Mary Jane Ong (Developmental Therapeutics Clinic/Early Clinical Trials Development Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD) P Peter Wu (Leidos Biomedical Research, Frederick, MD) C Christina Rosenberger (Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD) L Li Chen P Parimal Kumar (Leidos Biomedical Research, Frederick, MD) B Biswajit Das (Department of Medical Biochemistry and Biophysics, Umeå University) G Geraldine O'Sullivan-Coyne (Developmental Therapeutics Clinic, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD) B Barry C. Johnson (Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD) J Jibran Ahmed (National Cancer Institute, Bethesda, MD) A Alice P. Chen (Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD) C Chris Alan Karlovich (Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD)

Abstract

3127 Background: Digital spatial profiling (DSP) is an innovative technique that facilitates spatially resolved proteotranscriptomic analysis within tissue sections, providing essential insights into the tumor microenvironment (TME). As part of the exploratory objectives in the Phase 1B trial ( NCT03502733 ) evaluating adult patients(pts) with solid tumors and lymphomas copanisib (C), nivolumab (N) + ipilumumab (I), we employed the NanoString-Bruker GeoMx DSP platform to evaluate spatial heterogeneity in differentially regulated biomarkers. Methods: The study analyzed samples from pts in the trial's doublet treatment arm, which included C + N. Pts receive C on days 1 and 15 or days 1, 8, and 15 of each cycle and nivolumab on day 1 or days 1 and 15 of each cycle. Core biopsies collected from 8 pts at cycle 1 day 1 pre-dose (C1D1, baseline), cycle 1 day 8 post-dose (C1D8, C only) and cycle 2 day 15 post-dose (C2D15, C+N) were selected for GeoMx analysis. Tissue sections (5-μm) from archival FFPE blocks were prepared on glass slides and hybridized with photocleavable tag-conjugated antibodies (targeting 85 proteins) and oligonucleotide probes (whole transcriptome- WTA) for protein and WTA analyses respectively. Tissue imaging was performed via high-resolution fluorescent microscopy using morphology markers (cytokeratin AE1/AE3, CD45, CD3, CD20, Syto-13 nuclear marker). At least three rectangular (660 x 784 μm) regions of interest (ROI) per timepoint were analyzed using NanoString nCounter for proteomics and NGS for WTA. Data quality control and analysis were conducted using the GeoMx DSP Control Center (V-3.0) with a significance threshold of α = 0.05. Results: In two lymphoma pts with stable disease (SD) or partial response (PR), PI3K downstream signaling showed downregulation at C1D8 due to C-mediated PI3K-AKT signaling inhibition, possibly through PIK3IP1 overexpression. This signaling returned to baseline by C2D15, likely due to C’s elimination half-life. In a follicular lymphoma case (#18, PR), FOXP3 expression decreased at both C1D8 and C2D15, while CD4 and CD8 levels remained constant. Immune marker expression (PD-L1, PD-1, CTLA-4, CD80) progressively declined. However, in diffuse large B-cell lymphoma (#14, SD), no changes in T-cell markers were observed. Solid tumor cases (#12, #24, SD) showed PI3K-AKT signaling downregulation at C2D15, along with CD3+/CD8+ T-cell infiltration into the tumor. FOXP3 levels slightly decreased in tumor and immune compartments. Progressive disease cases showed no change in T-cell markers. Conclusions: GeoMx DSP demonstrated its capability to investigate phospho-signaling and immune profiles in tumor and stromal compartments of small biopsies, highlighting its potential to enhance the understanding of TMEs in clinical studies. Further applications may provide critical insights for clinical cancer trials. Clinical trial information: NCT03502733 .

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 3127-3127
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (14)

S

Sayak Ghatak

10Fred Hutchinson Cancer Center, Seattle, United States

L

Lindsay Dutko

Leidos Biomedical Research, Frederick, MD

K

Kaci Paulus

Leidos Biomedical Research, Frederick, MD

M

Mary Jane Ong

Developmental Therapeutics Clinic/Early Clinical Trials Development Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD

P

Peter Wu

Leidos Biomedical Research, Frederick, MD

C

Christina Rosenberger

Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD

L

Li Chen

P

Parimal Kumar

Leidos Biomedical Research, Frederick, MD

B

Biswajit Das

Department of Medical Biochemistry and Biophysics, Umeå University

G

Geraldine O'Sullivan-Coyne

Developmental Therapeutics Clinic, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD

B

Barry C. Johnson

Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD

J

Jibran Ahmed

National Cancer Institute, Bethesda, MD

A

Alice P. Chen

Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD

C

Chris Alan Karlovich

Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD