Microenvironmental markers are correlated with lymph node metastasis in invasive submucosal colorectal cancer
| Autor: | Noriyuki Yamada, Noriyuki Uesugi, Mai Hashimoto, Takayuki Matsumoto, Mitsumasa Osakabe, Makoto Eizuka, Yoshihito Tanaka, Ryo Sugimoto, Tamotsu Sugai, Naoki Yanagawa |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Histology Colorectal cancer cancer‐associated fibroblast MMP7 Pathology and Forensic Medicine Metastasis hierarchical cluster analysis Growth factor receptor Cancer-Associated Fibroblasts medicine Biomarkers Tumor Tumor Microenvironment Humans Epithelial–mesenchymal transition cancer cell Aged Aged 80 and over epithelial‐mesenchymal transition biology General Medicine Original Articles Middle Aged medicine.disease Podoplanin Lymphatic Metastasis Cancer cell biology.protein Cancer research Original Article submucosal colorectal cancer Female Colorectal Neoplasms Platelet-derived growth factor receptor |
| Zdroj: | Histopathology |
| ISSN: | 1365-2559 0309-0167 |
| Popis: | AIMS Recent studies have shown that the microenvironment can include cancer cells and cancer-associated fibroblasts (CAFs), and that both play important roles in the progression and metastasis of CRC. Here, we aimed to analyse the expression patterns of cancer cell- and CAF-related proteins in submucosal invasive colorectal cancer (SiCRC) and whether such markers are correlated with lymph node metastasis (LNM). METHODS AND RESULTS Quantitative analysis was conducted for Ki-67, p53, β-catenin and matrix metalloproteinase-7 (MMP7) to assess cancer cell markers. In addition, we examined CAF markers, including smooth muscle alpha-actin (α-SMA), CD10, podoplanin, fibroblast-specific protein 1 (FSP-1), platelet-derived growth factor receptor (PDGFR)-α, PDGFR-β, adipocyte enhancer-binding protein 1 (AEBP1), fibroblast-associated protein 1 (FAP-1), zinc finger E-box binding homeobox 1 (ZEB1) and TWIST-related protein 1 (TWIST1). In both cases, we conducted digital pathology with Aperio software. We also examined the expression patterns of biomarkers using hierarchical cluster analysis. Two subgroups were established based on the expression patterns of cancer cell- and CAF- related markers, and the associations of these subgroups with clinicopathological variables. In multivariate analysis, subgroup 2, which was characterised by high expression of Ki-67, p53, FAP-1, platelet-derived growth factor receptor (PDGFR)-α, PDGFR-β and TWIST1, was correlated with LNM (P |
| Databáze: | OpenAIRE |
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