Deep visual proteomics reveals DNA replication stress as a hallmark of signet ring cell carcinoma

Signet Ring Cell Carcinoma (SRCC) is a rare and highly malignant form of adenocarcinoma with increasing incidence and poor prognosis due to late diagnosis and limited treatment options. We employed Deep Visual Proteomics (DVP), which combines AI-directed cell segmentation and classification with laser microdissection and ultra-high sensitivity mass spectrometry, for cell-type-specific proteomic analysis of SRCC across the bladder, prostate, seminal vesicle, and a lymph node of a single patient. DVP identified significant alterations in DNA damage response (DDR) proteins, particularly within the ATR and mismatch repair (MMR) pathways, indicating replication stress as a crucial factor in SRCC mutagenicity. Additionally, we observed substantial enrichment of immune-related proteins, reflecting high levels of cytotoxic T lymphocyte infiltration and elevated PD-1 expression. These findings suggest that pembrolizumab immunotherapy may be more effective than conventional chemotherapy for this patient. Our results provide novel insights into the proteomic landscape of SRCC, identify potential targets, and open up for personalized therapeutic strategies in managing SRCC.

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Publication Details

Journal
npj Precision Oncology
Published
2025-02-05
DOI
https://doi.org/10.1038/s41698-025-00819-7
Citations
9
Primary Topic
Nonmelanoma Skin Cancer Studies
Type
article
Field-Weighted Citation Impact
12.19

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article

Deep visual proteomics reveals DNA replication stress as a hallmark of signet ring cell carcinoma

George D. Pappas, Matthew Paul Padula, Xiang Zheng, Sonja Kabatnik et al.
9 citations
npj Precision Oncology
Nonmelanoma Skin Cancer Studies
12.19
article

Deep visual proteomics reveals DNA replication stress as a hallmark of signet ring cell carcinoma

George D. Pappas, Matthew Paul Padula, Xiang Zheng, Sonja Kabatnik, Sophia Steigerwald, Matthias Mann
article en
9 citations

Abstract

Signet Ring Cell Carcinoma (SRCC) is a rare and highly malignant form of adenocarcinoma with increasing incidence and poor prognosis due to late diagnosis and limited treatment options. We employed Deep Visual Proteomics (DVP), which combines AI-directed cell segmentation and classification with laser microdissection and ultra-high sensitivity mass spectrometry, for cell-type-specific proteomic analysis of SRCC across the bladder, prostate, seminal vesicle, and a lymph node of a single patient. DVP identified significant alterations in DNA damage response (DDR) proteins, particularly within the ATR and mismatch repair (MMR) pathways, indicating replication stress as a crucial factor in SRCC mutagenicity. Additionally, we observed substantial enrichment of immune-related proteins, reflecting high levels of cytotoxic T lymphocyte infiltration and elevated PD-1 expression. These findings suggest that pembrolizumab immunotherapy may be more effective than conventional chemotherapy for this patient. Our results provide novel insights into the proteomic landscape of SRCC, identify potential targets, and open up for personalized therapeutic strategies in managing SRCC.

npj Precision OncologyVol. 9(1)
University of Technology Sydney (AU), University of Copenhagen (DK), Aarhus University (DK), Novo Nordisk Foundation (DK), Max Planck Institute of Biochemistry (DE)
Max-Planck-Gesellschaft, Novo Nordisk, Novo Nordisk Fonden
Good health and well-being
Openalex Percentile: Top 1%
Nonmelanoma Skin Cancer Studies
12.19
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