The immunogenomic landscape of primary and metastatic gastroesophageal adenocarcinoma.

493 Background: Metastatic gastroesophageal adenocarcinoma (GEA) is a heterogeneous disease with an overall poor prognosis. The tumour microenvironment (TME) between the primary and metastatic compartment is not well characterized. This study aims to describe the immunogenomic features of matched primary and metastatic GEA and their correlation with clinical outcomes. Methods: We performed whole exome sequencing (WES, n=36) and total RNA sequencing (RNA-seq, n=36) on a prospectively collected cohort of metastatic GEA, of which 14 had matched primary and metastatic tissues. We used TME deconvolution (Bagaev et al., 2021) comparing between the primary and metastatic compartments. Using an orthogonal technology, we further integrated immune checkpoint-directed multiplex immunohistochemistry (mIHC) for 22 patients with matched primary and metastatic samples. Results: The median age of our cohort was 61 (range 27-89), primarily male (n=28, 77%), and non-Asian (n=32, 89%). All had metastatic GEA at time of diagnosis. Differential expression showed activation of immune pathways such as tumor necrosis factor signalling and interferon-gamma response in the metastatic compartment. Deconvolution of the TME demonstrated 29% of primary tissues having an immune-inflamed TME compared to 61% of metastatic tissues (p=0.032). Exploring immune cell types, metastatic compartment is characterized by higher abundance of naïve and mature B cell populations (p<0.001), while primary compartment is enriched with CD4+ T cells (p<0.01). In matched cases, only 2 of 14 (14%) had concordant TME subtypes between primary and metastatic samples suggesting high degree of immune divergence. Furthermore, expression of common immune checkpoints aligned more with TME subtypes than within patient compartments suggesting common pathways of immune evasion. M-IHC showed both T-cell and immune checkpoint markers are enriched at the tumor margins compared to the tumor center in both primary and metastatic compartments (CD4; p<0.0001, CD8; p<0.001, CD68; p<0.001). There was a significant increase in the number of CD68+/CD163+/PDL1+ M2-like macrophages in the tumor margins (p<0.0001). Consistent with our deconvolution analysis, there are higher CD4+ T cells in the matched primary compared to metastatic samples. Long-term survivors (>16 months) had decreased number of CD68+ macrophages in the tumor center (p=0.019). Conclusions: Primary and metastatic GEA have divergent TME. This may partially explain varying responses to chemo-immunotherapy approaches. Therapies aimed at modifying TME may provide personalized treatment options.

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Journal
Journal of Clinical Oncology
Published
2025-01-27
DOI
https://doi.org/10.1200/jco.2025.43.4_suppl.493
Primary Topic
Metastasis and carcinoma case studies
Type
article
Field-Weighted Citation Impact
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article

The immunogenomic landscape of primary and metastatic gastroesophageal adenocarcinoma.

Rebecca Wong, Patrick Veit‐Haibach, Benjamin Haibe‐Kains, Valentin Sotov et al.
Journal of Clinical Oncology
Metastasis and carcinoma case studies
article

The immunogenomic landscape of primary and metastatic gastroesophageal adenocarcinoma.

Rebecca Wong, Patrick Veit‐Haibach, Benjamin Haibe‐Kains, Valentin Sotov, Sangeetha Kalimuthu, Lucy Xiaolu, Christine Tran, Ben X. Wang, David Chen, Jonathan Yeung, Yvonne Bach, Xin Wang, Raymond Woo-Jun Jang, Michelle Restrepo, Eric Xueyu Chen, Gavin W. Wilson, Frances Allison, Hiroko Aoyama, Elena Elimova, Elliot Wakeam
article en

Abstract

493 Background: Metastatic gastroesophageal adenocarcinoma (GEA) is a heterogeneous disease with an overall poor prognosis. The tumour microenvironment (TME) between the primary and metastatic compartment is not well characterized. This study aims to describe the immunogenomic features of matched primary and metastatic GEA and their correlation with clinical outcomes. Methods: We performed whole exome sequencing (WES, n=36) and total RNA sequencing (RNA-seq, n=36) on a prospectively collected cohort of metastatic GEA, of which 14 had matched primary and metastatic tissues. We used TME deconvolution (Bagaev et al., 2021) comparing between the primary and metastatic compartments. Using an orthogonal technology, we further integrated immune checkpoint-directed multiplex immunohistochemistry (mIHC) for 22 patients with matched primary and metastatic samples. Results: The median age of our cohort was 61 (range 27-89), primarily male (n=28, 77%), and non-Asian (n=32, 89%). All had metastatic GEA at time of diagnosis. Differential expression showed activation of immune pathways such as tumor necrosis factor signalling and interferon-gamma response in the metastatic compartment. Deconvolution of the TME demonstrated 29% of primary tissues having an immune-inflamed TME compared to 61% of metastatic tissues (p=0.032). Exploring immune cell types, metastatic compartment is characterized by higher abundance of naïve and mature B cell populations (p<0.001), while primary compartment is enriched with CD4+ T cells (p<0.01). In matched cases, only 2 of 14 (14%) had concordant TME subtypes between primary and metastatic samples suggesting high degree of immune divergence. Furthermore, expression of common immune checkpoints aligned more with TME subtypes than within patient compartments suggesting common pathways of immune evasion. M-IHC showed both T-cell and immune checkpoint markers are enriched at the tumor margins compared to the tumor center in both primary and metastatic compartments (CD4; p<0.0001, CD8; p<0.001, CD68; p<0.001). There was a significant increase in the number of CD68+/CD163+/PDL1+ M2-like macrophages in the tumor margins (p<0.0001). Consistent with our deconvolution analysis, there are higher CD4+ T cells in the matched primary compared to metastatic samples. Long-term survivors (>16 months) had decreased number of CD68+ macrophages in the tumor center (p=0.019). Conclusions: Primary and metastatic GEA have divergent TME. This may partially explain varying responses to chemo-immunotherapy approaches. Therapies aimed at modifying TME may provide personalized treatment options.

Journal of Clinical OncologyVol. 43(4_suppl)
Sunnybrook Health Science Centre (CA), University Health Network (CA), University of Toronto (CA), Toronto General Hospital (CA), Health Sciences Centre (CA), Princess Margaret Cancer Centre (CA), Toronto General Hospital Research Institute
Physicians' Services Incorporated Foundation
Openalex Percentile: Top 98%
Metastasis and carcinoma case studies
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