ArticleJournal of translational medicine2023
Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 21 citations in OpenAlex.
- Integrative transcriptomic analysis reveals tumor-adjacent mucosal remodeling in colorectal cancer.Functional & integrative genomics · 2026Article
- Integrated miRNA Sequencing and Network Analysis Reveal a Molecular Continuum Between Peritumoral and Tumor Tissue in Prostate Cancer.International journal of molecular sciences · 2026Article
- Article
- Integrated multi-regional multiomic profiling of breast phyllodes tumours reveals peritumoural immune activation and stromal remodelling.Clinical and translational medicine · 2026Article
- Comprehensive analysis of non-tumor lung, liver, and kidney transcriptomes in canine metastatic osteosarcoma.Communications biology · 2026Article
- Colorectal microenvironment determines the prognosis of colorectal cancer.Experimental & molecular medicine · 2026Article
- Multi-omics fusion network for prediction of early recurrence in colorectal liver metastases.NPJ precision oncology · 2026Article
- A postoperative recurrence prediction model for intrahepatic cholangiocarcinoma based on multi-omics analysis of adjacent-to-tumor tissues.Frontiers in oncology · 2026Article
- Paired-Sample and Pathway-Anchored MLOps Framework for Robust Transcriptomic Machine Learning in Small Cohorts: Model Classification Study.JMIR bioinformatics and biotechnology · 2025Article
- Review
- A subset of Polycomb-targeted transcription factor genes become hypermethylated yet upregulated in colorectal cancer.Computational and structural biotechnology journal · 2025Article
- HLA-G expression in peritumoral fundic gland mucous neck cells, but not in tumor lesions, related to poor survival in patients with gastric cancer.Frontiers in immunology · 2025Article
- Intra Operative Mild Cooling of Large Tumors Reduces Their Invasive and Metastatic Functions While Increasing Their Resistance to Apoptosis.Therapeutic hypothermia and temperature management · 2024Article
- Enhanced prognostic signature for lung adenocarcinoma through integration of adjacent normal and tumor gene expressions.Heliyon · 2024Article
- Peritumoral tissue (PTT): increasing need for naming convention.British journal of cancer · 2024Review
- Changes in the Expression of Genes Regulating the Response to Hypoxia, Inflammation, Cell Cycle, Apoptosis, and Epithelial Barrier Functioning during Colitis-Associated Colorectal Cancer Depend on Individual Hypoxia Tolerance.International journal of molecular sciences · 2024Article
- Celecoxib Suppresses NF-κB p65 (RelA) and TNFα Expression Signaling in Glioblastoma.Journal of clinical medicine · 2023Article
- Correction: Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.Journal of translational medicine · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundPrevious investigations of transcriptomic signatures of cancer patient survival and post-therapy relapse have focused on tumor tissue. In contrast, here we show that in colorectal cancer (CRC) transcriptomes derived from normal tissues adjacent to tumors (NATs) are better predictors of relapse.
resultsUsing the transcriptomes of paired tumor and NAT specimens from 80 Korean CRC patients retrospectively determined to be in recurrence or nonrecurrence states, we found that, when comparing recurrent with nonrecurrent samples, NATs exhibit a greater number of differentially expressed genes (DEGs) than tumors. Training two prognostic elastic net-based machine learning models-NAT-based and tumor-based in our Samsung Medical Center (SMC) cohort, we found that NAT-based model performed better in predicting the survival when the model was applied to the tumor-derived transcriptomes of an independent cohort of 450 COAD patients in TCGA. Furthermore, compositions of tumor-infiltrating immune cells in NATs were found to have better prognostic capability than in tumors. We also confirmed through Cox regression analysis that in both SMC-CRC as well as in TCGA-COAD cohorts, a greater proportion of genes exhibited significant hazard ratio when NAT-derived transcriptome was used compared to when tumor-derived transcriptome was used.
conclusionsTaken together, our results strongly suggest that NAT-derived transcriptomes and immune cell composition of CRC are better predictors of patient survival and tumor recurrence than the primary tumor.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.