Proteomic profiling identifies prognostic signature for Krukenberg tumor of gastrointestinal origin

Krukenberg tumor (KT) primarily originates from the stomach and colorectum, but reliable biomarkers for distinguishing KT from other tumors at the same sites and predicting ovarian metastasis remain lacking. Using pressure cycling technology (PCT) and data-independent acquisition (DIA) mass spectrometry, we analyzed 263 formalin-fixed paraffin-embedded (FFPE) samples, identifying 10,837 proteins. The results revealed distinct proteomic signatures from the primary gastrointestinal lesions of KT. Comparative analyses identified group-specific pathways, particularly mesenchymal-epithelial transition (MET) signaling pathways and extracellular matrix (ECM) pathways, that were enriched in the primary lesions of KT. We developed protein-based classifiers with promising diagnostic value in distinguishing the primary gastrointestinal lesions of KT from those without ovarian metastases. We depicted distinct proteomic signatures in the primary gastrointestinal lesions of KT and identified potential biomarkers for prediction and early intervention of gastrointestinal cancer patients at risk of ovarian metastases.

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Journal
iScience
Published
2026-01-13
DOI
https://doi.org/10.1016/j.isci.2026.114682
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
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article

Proteomic profiling identifies prognostic signature for Krukenberg tumor of gastrointestinal origin

Zhangzhi Xue, Xiaodong Teng, Xiao Yi, Bo Wang et al.
iScience
Ovarian cancer diagnosis and treatment
article

Proteomic profiling identifies prognostic signature for Krukenberg tumor of gastrointestinal origin

Zhangzhi Xue, Xiaodong Teng, Xiao Yi, Bo Wang, Wei Liu, Tiannan Guo, Yi Zhu, Han ZHANG, Xiaoling WANG
article en

Abstract

Krukenberg tumor (KT) primarily originates from the stomach and colorectum, but reliable biomarkers for distinguishing KT from other tumors at the same sites and predicting ovarian metastasis remain lacking. Using pressure cycling technology (PCT) and data-independent acquisition (DIA) mass spectrometry, we analyzed 263 formalin-fixed paraffin-embedded (FFPE) samples, identifying 10,837 proteins. The results revealed distinct proteomic signatures from the primary gastrointestinal lesions of KT. Comparative analyses identified group-specific pathways, particularly mesenchymal-epithelial transition (MET) signaling pathways and extracellular matrix (ECM) pathways, that were enriched in the primary lesions of KT. We developed protein-based classifiers with promising diagnostic value in distinguishing the primary gastrointestinal lesions of KT from those without ovarian metastases. We depicted distinct proteomic signatures in the primary gastrointestinal lesions of KT and identified potential biomarkers for prediction and early intervention of gastrointestinal cancer patients at risk of ovarian metastases.

iScienceVol. 29(2)
Westlake University (CN), First Affiliated Hospital Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 90%
Ovarian cancer diagnosis and treatment
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