Paired Transcriptomic Profiling Identifies Shared Liver Metastasis-Associated Molecular Features in Colorectal Cancer

Colorectal cancer liver metastasis (CCLM) is closely associated with poor patient prognosis, yet patient-specific molecular heterogeneity complicates the identification of recurrent molecular changes during metastasis. To address this, we performed RNA sequencing on paired primary tumors and liver metastases synchronously resected from six patients and analyzed gene expression changes using a paired design that accounted for interpatient variability. This analysis identified differentially expressed genes (DEGs) and metastasis-associated pathways through functional enrichment analysis and gene set enrichment analysis (GSEA). The reproducibility of these changes was further assessed across multiple independent publicly available transcriptomic datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Selected candidate genes were additionally evaluated in a metastasis-selected colorectal cancer cell model, in which several genes showed expression changes consistent with the transcriptomic findings. Together, these results indicate that recurrent molecular changes accompany CCLM despite substantial interpatient heterogeneity and provide a strategy for identifying metastasis-associated molecular features and potential therapeutic targets.

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Publication Details

Journal
Current Issues in Molecular Biology
Published
2026-10-05
DOI
https://doi.org/10.3390/cimb48101033
Primary Topic
Colorectal Cancer Treatments and Studies
Type
article
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article

Paired Transcriptomic Profiling Identifies Shared Liver Metastasis-Associated Molecular Features in Colorectal Cancer

Shin‐Wha Lee, Chan Wook Kim, Si Yeol Song, Jong Lyul Lee et al.
Current Issues in Molecular Biology
Colorectal Cancer Treatments and Studies
article

Paired Transcriptomic Profiling Identifies Shared Liver Metastasis-Associated Molecular Features in Colorectal Cancer

Shin‐Wha Lee, Chan Wook Kim, Si Yeol Song, Jong Lyul Lee, Jung Jin Hwang, Ga Won Son, Seong‐Yun Jeong, Eun Jung Park, Eun Jin Ju, Seung‐Jae Myung, Seok Soon Park, Seol Hwa Shin, Mi Ri Kwon, Jin Park, Hye Won Lee, Eun Jung Ko, Heetaek Yang, Tae Won Kim
article en

Abstract

Colorectal cancer liver metastasis (CCLM) is closely associated with poor patient prognosis, yet patient-specific molecular heterogeneity complicates the identification of recurrent molecular changes during metastasis. To address this, we performed RNA sequencing on paired primary tumors and liver metastases synchronously resected from six patients and analyzed gene expression changes using a paired design that accounted for interpatient variability. This analysis identified differentially expressed genes (DEGs) and metastasis-associated pathways through functional enrichment analysis and gene set enrichment analysis (GSEA). The reproducibility of these changes was further assessed across multiple independent publicly available transcriptomic datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Selected candidate genes were additionally evaluated in a metastasis-selected colorectal cancer cell model, in which several genes showed expression changes consistent with the transcriptomic findings. Together, these results indicate that recurrent molecular changes accompany CCLM despite substantial interpatient heterogeneity and provide a strategy for identifying metastasis-associated molecular features and potential therapeutic targets.

Current Issues in Molecular BiologyVol. 48(10)
Asan Medical Center (KR), University of Ulsan (KR), Kangbuk Samsung Hospital (KR)
Openalex Percentile: Top 15%
Colorectal Cancer Treatments and Studies
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