Personalized signaling pathway analysis of gastrointestinal tumors for patient stratification and drug target evaluation using clinically derived core biopsies

Aberrant cellular signaling underlies cancer development and progression. Identifying alterations in these pathways yields critical insights for personalized oncology. Clinically, assessing the activation status of signaling proteins complements genetic and histopathological analyses, improving therapeutic evaluation and accuracy. In this study, we employed the high-throughput Western blot system DigiWest for the characterization of gastrointestinal tumors, both retrospectively and in a proof-of-concept direct clinical application. Retrospective analyses of pancreatic and colorectal carcinomas (n = 20) compared with matched normal tissues revealed distinct protein expression and activation patterns differentiating tumor subtypes and defining clinically relevant subgroups. By resolving individualized, treatment-relevant signaling signatures we demonstrate the feasibility of molecular-level personalization in samples with high clinical heterogeneity. In the clinical proof-of-concept, single core needle biopsies from 14 patients with gastrointestinal tumors who underwent Molecular Tumor Board presentation were analyzed. The resulting proteomic profiles uncovered patient-specific, targetable pathway activation patterns and showed concordance with mutational data and therapy recommendations. Collectively, these findings establish DigiWest as a valuable, robust complementary tool to sequencing-based approaches for personalized diagnostics and treatment evaluation in precision oncology.

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Publication Details

Journal
npj Precision Oncology
Published
2026-02-25
DOI
https://doi.org/10.1038/s41698-026-01304-5
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Personalized signaling pathway analysis of gastrointestinal tumors for patient stratification and drug target evaluation using clinically derived core biopsies

Karsten Büringer, Sven Mattern, M Templin, Felix Schäfer-Ruoff et al.
npj Precision Oncology
Cancer Genomics and Diagnostics
article

Personalized signaling pathway analysis of gastrointestinal tumors for patient stratification and drug target evaluation using clinically derived core biopsies

Karsten Büringer, Sven Mattern, M Templin, Felix Schäfer-Ruoff, Katja Schenke‐Layland, Michael Bitzer, Tatjana Hoffmann, NISAR P. MALEK, Stephan Singer, Aaron Stahl, Pavlos Missios
article en

Abstract

Aberrant cellular signaling underlies cancer development and progression. Identifying alterations in these pathways yields critical insights for personalized oncology. Clinically, assessing the activation status of signaling proteins complements genetic and histopathological analyses, improving therapeutic evaluation and accuracy. In this study, we employed the high-throughput Western blot system DigiWest for the characterization of gastrointestinal tumors, both retrospectively and in a proof-of-concept direct clinical application. Retrospective analyses of pancreatic and colorectal carcinomas (n = 20) compared with matched normal tissues revealed distinct protein expression and activation patterns differentiating tumor subtypes and defining clinically relevant subgroups. By resolving individualized, treatment-relevant signaling signatures we demonstrate the feasibility of molecular-level personalization in samples with high clinical heterogeneity. In the clinical proof-of-concept, single core needle biopsies from 14 patients with gastrointestinal tumors who underwent Molecular Tumor Board presentation were analyzed. The resulting proteomic profiles uncovered patient-specific, targetable pathway activation patterns and showed concordance with mutational data and therapy recommendations. Collectively, these findings establish DigiWest as a valuable, robust complementary tool to sequencing-based approaches for personalized diagnostics and treatment evaluation in precision oncology.

npj Precision OncologyVol. 10(1)
Natural and Medical Sciences Institute (DE), University Children's Hospital Tübingen (DE), University of Tübingen (DE)
Good health and well-being
Openalex Percentile: Top 43%
Cancer Genomics and Diagnostics
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