ArticleTechnology in cancer research & treatment
Comprehensive Mutation Profiling of Colorectal Cancer Patients With Lung or Liver Metastasis by Targeted Next-Generation Sequencing.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Multi-omics in colorectal cancer liver metastasis: applications and research advances.Cancer biology & medicine · 2025Review
- Anti-tumor immune modulation and favorable survival outcomes in uterine corpus endometrial carcinoma: insights from PIK3CA/ARID1A co-mutation analysis.Discover oncology · 2025Article
- LRP1B associated with immune cell infiltration influenced the efficacy of immunotherapy in colorectal cancer patients.Clinics (Sao Paulo, Brazil) · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPrimary tumor tissue is often analyzed to search for predictive biomarkers and DNA-guided personalized therapies, but there is an incomplete understanding of the discrepancies in the genomic profiles between primary tumors and metastases, such as liver and lung metastases.
methodsWe performed in-depth targeted next-generation sequencing of 520 key cancer-associated genes for 47 matched primary and metastatic tumor samples which were retrospectively collected.
resultsA total of 699 mutations were detected in the 47 samples. The coincidence rate of primary tumors and metastases was 51.8% (n = 362), and compared to patients with liver metastases, patients with lung metastases had a significantly greater coincidence rate (
conclusionIn this study, we demonstrate significant differences in the genomic landscapes of colorectal cancer patients based on the site of metastasis. Notably, we observe a larger genomic variation between primary tumors and liver metastasis compared to primary tumors and lung metastasis. These findings can be used for tailoring treatments based on the specific metastatic site.
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