ArticleOncology letters2021
Comprehensive genomic analysis contrasting primary colorectal cancer and matched liver metastases.
Article in Oncology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Cancer evolution and multi-omic profile of relapsed colorectal liver metastases after treatment.Genome medicine · 2026Article
- Comparison of gene mutations of liver metastases to the primary tumor in colorectal cancer: lessons from a small cohort.Frontiers in oncology · 2026Article
- Multi-omics in colorectal cancer liver metastasis: applications and research advances.Cancer biology & medicine · 2025Review
- Spatial Transcriptome Mapping of the Desmoplastic Growth Pattern of Colorectal Liver Metastases by In Situ Sequencing Reveals a Biologically Relevant Zonation of the Desmoplastic Rim.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Neighboring macrophage-induced alteration in the phenotype of colorectal cancer cells in the tumor budding area.Cancer cell international · 2024Article
- GPNMB Expression Associates with Inferior Prognosis in Patients with Small Cell Lung Cancer.Journal of Cancer · 2024Article
- Long-term outcomes of staged liver resection for synchronous liver metastases from colorectal cancer and the clinical impact of early recurrence: A single-center retrospective cohort study.Annals of gastroenterological surgery · 2023Article
- Article
- The Future of ctDNA-Defined Minimal Residual Disease: Personalizing Adjuvant Therapy in Colorectal Cancer.Clinical colorectal cancer · 2022Review
- Review
- Relation of Osteopontin Expression to Tumor-Associated Macrophages-Derived Transforming Growth Factor Beta 1 Expression in Non-small Cell Lung Carcinoma.Journal of microscopy and ultrastructureArticle
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies have revealed that colorectal cancer (CRC) displays intratumor genetic heterogeneity, and that the cancer microenvironment plays an important role in the proliferation, invasion and metastasis of CRC. The present study performed genomic analysis on paired primary CRC and synchronous colorectal liver metastasis (CRLM) tissues collected from 22 patients using whole-exome sequencing, cancer gene panels and microarray gene expression profiling. In addition, immunohistochemical analysis was used to confirm the protein expression levels of genes identified as highly expressed in CRLM by DNA microarray analysis. The present study identified 10 genes that were highly expressed in CRLM compared with in CRC, from 36,022 probes obtained from primary CRC, CRLM and normal liver tissues by gene expression analysis with DNA microarrays. Of the 10 genes identified, five were classified as encoding 'matricellular proteins' [(osteopontin, periostin, thrombospondin-2, matrix Gla protein (MGP) and glycoprotein nonmetastatic melanoma protein B (GPNMB)] and were selected for immunohistochemical analysis. Osteopontin was strongly expressed in CRLM (6 of 22 cases: 27.3%), but not in CRC (0 of 22: 0%; P=0.02). Periostin also exhibited strong immunoreactivity in CRLM (17 of 22: 68.2%) compared with in CRC (7 of 22: 31.8%; P=0.006). Thrombospondin-2 exhibited strong immunoreactivity in both CRC and CRLM (54.5% in CRC, 45.5% in CRLM; P=0.55). GPNMB and MGP were rarely positive for both CRC and CRLM. A comparison of immunoreactive positive factors for these five genes revealed the complexities of gene expression in CRLM. Of the cases examined, 16 (72.7%) cases of CRC showed zero or only one positive immunoreactive factor. By contrast, CRLM showed more frequent and multiple immunoreactive factors; for example, 16 cases (72.7%) shared two or more factors, which was statistically more frequent than in CRC (P=0.007). The present study revealed the genomic heterogeneity between paired primary CRC and CRLM, in terms of cancer cell microenvironment. This finding may lead to novel diagnostic and therapeutic targets in the era of genome-guided personalized cancer treatment.
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