Ubiquitinomics revealed disease- and stage-specific patterns relevant for the 3PM approach in human sigmoid colon cancers

Yang, Hua; Li, Na; Chen, Liang; Zhou, Lei; Zhou, Yuanchen; Liu, Jixiang; Jia, Wenshuang; Chen, Ruofei; Su, Junwen; Yang, Lamei; Gong, Xiaoxia; Zhan, Xianquan

doi:10.1007/s13167-023-00328-2

Cited by 2 publications

(2 citation statements)

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“…The mobility of sigmoid colon cancer (SCC) is nearly 39.2% among all colon cancers. Moreover, patients with SCC show a higher mortality and poor prognosis . Therefore, to provide efficient therapy and accurate prediction, a region-specific proteomic analysis of colorectal cancer was performed.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, patients with SCC show a higher mortality and poor prognosis. 44 Therefore, to provide efficient therapy and accurate prediction, a regionspecific proteomic analysis of colorectal cancer was performed. In TEs and PEs proteomes of early-stage SCC patients, 24 proteins were significantly overexpressed in the TEs sample, including oncogenic proteins KPNA2 31 and CEACAM5, 41 and 107 proteins in the PEs samples (Figure 5A and Table S7).…”

Section: Integrative Proteome Architecture For Progression In Sigmoid...mentioning

confidence: 99%

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Spatial Proteomic Profiling of Colorectal Cancer Revealed Its Tumor Microenvironment Heterogeneity

Xie,

Kong,

et al. 2024

J. Proteome Res.

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Colorectal cancer is a predominant malignancy with a second mortality worldwide. Despite its prevalence, therapeutic options remain constrained and surgical operation is still the most useful therapy. In this regard, a comprehensive spatially resolved quantitative proteome atlas was constructed to explore the functional proteomic landscape of colorectal cancer. This strategy integrates histopathological analysis, laser capture microdissection, and proteomics. Spatial proteome profiling of 200 tissue section samples facilitated by the fully integrated sample preparation technology SISPROT enabled the identification of more than 4000 proteins on the Orbitrap Exploris 240 from 2 mm2 × 10 μm tissue sections. Compared with normal adjacent tissues, we identified a spectrum of cancer-associated proteins and dysregulated pathways across various regions of colorectal cancer including ascending colon, transverse colon, descending colon, sigmoid colon, and rectum. Additionally, we conducted proteomic analysis on tumoral epithelial cells and paracancerous epithelium from early to advanced stages in hallmark rectum cancer and sigmoid colon cancer. Bioinformatics analysis revealed functional proteins and cell-type signatures associated with different regions of colorectal tumors, suggesting potential clinical implications. Overall, this study provides a comprehensive spatially resolved functional proteome landscape of colorectal cancer, serving as a valuable resource for exploring potential biomarkers and therapeutic targets.

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Section: Resultsmentioning

confidence: 99%