Abstract A023: Differential Patterns of Immune Infiltration in the Tumor Immune Microenvironment Associate with Therapeutic Response in Primary Prostate Cancer Following Chemohormonal Therapy

Abstract Background: There is a critical need to develop novel therapeutic strategies and diagnostic tools to precisely deliver treatments to improve survival for men with prostate cancer (PCa). To support this development, improved strategies are needed to better understand heterogenous tumor microenvironments and tumor biology that associate with variable treatment responses. We hypothesized that the tumor immune microenvironment (TIME) plays a critical role in treatment resistance. In this study we aimed to evaluate TIME signatures of treatment response and resistance utilizing a novel, integrated technological tool to identify response patterns and enable precision sampling for comparative cellular and molecular analysis. Methods: 30 patients with newly-diagnosed, locally advanced, high-risk, primary PCa underwent 18F-DCFPyL PSMA PET with multiparametric MRI (mpMRI) imaging on a dedicated PET/MRI scanner followed by 3 cycles of chemohormonal therapy (NCT03358563). Repeat PSMA PET/MRI was performed prior to prostatectomy and scans were interpreted by an experienced radiologist and nuclear medicine physician as complete response (CR), partial response (PR), no response (NR) or normal tissue. MRI scans were used to print a 3D mold of the prostate to allow PET and MRI directed mapping and microdissection of regions of interest from the resected prostate with slice-by-slice and lesion-to-lesion correlation. Cellular infiltrates were analyzed by flow cytometry in 3 to 5 tissue specimens per patient. Results: The frequency of CD8+ T cells in the total CD45+ infiltrate was highest in normal and CR areas and was significantly reduced in PR vs CR (p<0.01). CXCR3+CD8+ and CD103+CD8+ Tcell frequencies were also reduced in PR vs CR foci (p<0.01, p<0.05, respectively). Meanwhile, the frequency of CXCR3+CD8+ T and CXCR3+++CD8+ T cells was highest and significantly elevated in CR vs normal tissue suggesting enrichment of activated, homing, Tc1 CD8T cells. An increase in total CD8+ and CD103+CD8+ T cells was associated with longer progression-free survival. DESeq2 analysis of bulk mRNA sequencing showed enrichment of CD8a and ITGAE (CD103) gene expression differential in CR vs PR lesions (p=0.028, p=0.00029, respectively). CD8a expression was reduced in panCK- AOI of resistant (PR) foci by GeoMx WTA spatial transcriptomic analysis in two model patients with multi-focal tumors. Flow analysis of EpCAM+ cells had a significant increase in B7H3 expression in PR vs CR lesions (p<0.05). We are currently integrating analysis of myeloid cells and expand spatial transcriptomic analysis of matched multi-focal tumors to further dissect patterns of therapeutic response in our study cohort. Conclusions: In conclusion, PSMA /PET and mpMRI based precision sampling of tumor tissue associated with differential therapeutic response patterns captured differences in the TIME infiltrates and these observations may provide hypothesis to test biological mechanisms to expedite discovery of targetable mechanisms to improve tumor stratification and targeting in high-risk prostate cancer. Citation Format: Erika Heninger, Jamie M. Sperger, Kristin Weinstein, Brian P. Johnson, Peter G. Geiger, Shane A. Wells, Steve Y. Cho, Wei Huang, Philippos Tsourkas, Sean McIlwain, Irene M. Ong, David Quigley, David F. Jarrard, Sheena C. Kerr, David J. Beebe, Joshua M. Lang. Differential Patterns of Immune Infiltration in the Tumor Immune Microenvironment Associate with Therapeutic Response in Primary Prostate Cancer Following Chemohormonal Therapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl):Abstract nr A023.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-01-20
DOI
https://doi.org/10.1158/1538-7445.prostateca26-a023
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract A023: Differential Patterns of Immune Infiltration in the Tumor Immune Microenvironment Associate with Therapeutic Response in Primary Prostate Cancer Following Chemohormonal Therapy

David F. Jarrard, Joshua M. Lang, Brian P. Johnson, D. Beebe et al.
Cancer Research
Cancer Immunotherapy and Biomarkers
article

Abstract A023: Differential Patterns of Immune Infiltration in the Tumor Immune Microenvironment Associate with Therapeutic Response in Primary Prostate Cancer Following Chemohormonal Therapy

David F. Jarrard, Joshua M. Lang, Brian P. Johnson, D. Beebe, Steve Y. Cho, Sean J. McIlwain, Erika Héninger, Philippos K. Tsourkas, Sheena C. Kerr, Jamie M. Sperger, Shane A. Wells, Kristin Weinstein, Peter Geiger, Irene Ong, Wei Huang, David Quigley
article en

Abstract

Abstract Background: There is a critical need to develop novel therapeutic strategies and diagnostic tools to precisely deliver treatments to improve survival for men with prostate cancer (PCa). To support this development, improved strategies are needed to better understand heterogenous tumor microenvironments and tumor biology that associate with variable treatment responses. We hypothesized that the tumor immune microenvironment (TIME) plays a critical role in treatment resistance. In this study we aimed to evaluate TIME signatures of treatment response and resistance utilizing a novel, integrated technological tool to identify response patterns and enable precision sampling for comparative cellular and molecular analysis. Methods: 30 patients with newly-diagnosed, locally advanced, high-risk, primary PCa underwent 18F-DCFPyL PSMA PET with multiparametric MRI (mpMRI) imaging on a dedicated PET/MRI scanner followed by 3 cycles of chemohormonal therapy (NCT03358563). Repeat PSMA PET/MRI was performed prior to prostatectomy and scans were interpreted by an experienced radiologist and nuclear medicine physician as complete response (CR), partial response (PR), no response (NR) or normal tissue. MRI scans were used to print a 3D mold of the prostate to allow PET and MRI directed mapping and microdissection of regions of interest from the resected prostate with slice-by-slice and lesion-to-lesion correlation. Cellular infiltrates were analyzed by flow cytometry in 3 to 5 tissue specimens per patient. Results: The frequency of CD8+ T cells in the total CD45+ infiltrate was highest in normal and CR areas and was significantly reduced in PR vs CR (p<0.01). CXCR3+CD8+ and CD103+CD8+ Tcell frequencies were also reduced in PR vs CR foci (p<0.01, p<0.05, respectively). Meanwhile, the frequency of CXCR3+CD8+ T and CXCR3+++CD8+ T cells was highest and significantly elevated in CR vs normal tissue suggesting enrichment of activated, homing, Tc1 CD8T cells. An increase in total CD8+ and CD103+CD8+ T cells was associated with longer progression-free survival. DESeq2 analysis of bulk mRNA sequencing showed enrichment of CD8a and ITGAE (CD103) gene expression differential in CR vs PR lesions (p=0.028, p=0.00029, respectively). CD8a expression was reduced in panCK- AOI of resistant (PR) foci by GeoMx WTA spatial transcriptomic analysis in two model patients with multi-focal tumors. Flow analysis of EpCAM+ cells had a significant increase in B7H3 expression in PR vs CR lesions (p<0.05). We are currently integrating analysis of myeloid cells and expand spatial transcriptomic analysis of matched multi-focal tumors to further dissect patterns of therapeutic response in our study cohort. Conclusions: In conclusion, PSMA /PET and mpMRI based precision sampling of tumor tissue associated with differential therapeutic response patterns captured differences in the TIME infiltrates and these observations may provide hypothesis to test biological mechanisms to expedite discovery of targetable mechanisms to improve tumor stratification and targeting in high-risk prostate cancer. Citation Format: Erika Heninger, Jamie M. Sperger, Kristin Weinstein, Brian P. Johnson, Peter G. Geiger, Shane A. Wells, Steve Y. Cho, Wei Huang, Philippos Tsourkas, Sean McIlwain, Irene M. Ong, David Quigley, David F. Jarrard, Sheena C. Kerr, David J. Beebe, Joshua M. Lang. Differential Patterns of Immune Infiltration in the Tumor Immune Microenvironment Associate with Therapeutic Response in Primary Prostate Cancer Following Chemohormonal Therapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl):Abstract nr A023.

Cancer ResearchVol. 86(2_Supplement)
University of Wisconsin System (US), University of Wisconsin–Madison (US), University of California, San Francisco (US), University of Michigan (US), Madison Group (United States) (US), University of San Francisco (US), Michigan State University (US)
Good health and well-being
Openalex Percentile: Top 83%
Cancer Immunotherapy and Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.