ArticleHepatology (Baltimore, Md.)2021
A Transcriptomic Signature for Risk-Stratification and Recurrence Prediction in Intrahepatic Cholangiocarcinoma.
Article in Hepatology (Baltimore, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Integrated DNA and RNA profiling refines prognostic stratification independent of therapeutic actionability in cholangiocarcinoma.BMC cancer · 2026Article
- Robust transcriptomic hallmarks targeting intratumor heterogeneity in intrahepatic cholangiocarcinoma.Cell reports. Medicine · 2026Article
- POC1A promotes malignant phenotypes in non-triple-negative breast cancer cell models with EMT- and Wnt/β-catenin-related alterations.Frontiers in oncology · 2026Article
- Article
- POC1A induces epithelial-mesenchymal transition to promote growth and metastasis through the STAT3 signaling pathway in triple-negative breast cancer.Molecular medicine (Cambridge, Mass.) · 2025Article
- State-of-the-Art Liver Cancer Organoids: Modeling Cancer Stem Cell Heterogeneity for Personalized Treatment.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025Review
- Upregulation of POC1A in lung adenocarcinoma promotes tumour progression and predicts poor prognosis.Journal of cellular and molecular medicine · 2024Article
- SerpinB3/4 Expression Is Associated with Poor Prognosis in Patients with Cholangiocarcinoma.Cancers · 2024Article
- Application of preoperative NLR-based prognostic model in predicting prognosis of intrahepatic cholangiocarcinoma following radical surgery.Frontiers in nutrition · 2024Article
- ScRNA-seq and bulk RNA-seq reveal the characteristics of ferroptosis and establish a risk signature in cholangiocarcinoma.Molecular therapy oncolytics · 2022Article
- Article
- New molecular mechanisms in cholangiocarcinoma: signals triggering interleukin-6 production in tumor cells and KRAS co-opted epigenetic mediators driving metabolic reprogramming.Journal of experimental & clinical cancer research : CR · 2022Article
- Genome-wide CRISPR screen identified Rad18 as a determinant of doxorubicin sensitivity in osteosarcoma.Journal of experimental & clinical cancer research : CR · 2022Article
- A transcriptomic signature that predicts cancer recurrence after hepatectomy in patients with colorectal liver metastases.European journal of cancer (Oxford, England : 1990) · 2022Article
- Review
- Identification of Mutator-Derived Alternative Splicing Signatures of Genomic Instability for Improving the Clinical Outcome of Cholangiocarcinoma.Frontiers in oncology · 2021Article
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11 authors.
Funding
Abstract
BACKGROUND AND
aimsTumor recurrence is frequent even in intrahepatic cholangiocarcinoma (ICC), and improved strategies are needed to identify patients at highest risk for such recurrence. We performed genome-wide expression profile analyses to discover and validate a gene signature associated with recurrence in patients with ICC. APPROACH AND
resultsFor biomarker discovery, we analyzed genome-wide transcriptomic profiling in ICC tumors from two public data sets: The Cancer Genome Atlas (n = 27) and GSE107943 (n = 28). We identified an eight-gene panel (BIRC5 [baculoviral IAP repeat containing 5], CDC20 [cell division cycle 20], CDH2 [cadherin 2], CENPW [centromere protein W], JPH1 [junctophilin 1], MAD2L1 [mitotic arrest deficient 2 like 1], NEIL3 [Nei like DNA glycosylase 3], and POC1A [POC1 centriolar protein A]) that robustly identified patients with recurrence in the discovery (AUC = 0.92) and in silico validation cohorts (AUC = 0.91). We next analyzed 241 specimens from patients with ICC (training cohort, n = 64; validation cohort, n = 177), followed by Cox proportional hazard regression analysis, to develop an integrated transcriptomic panel and establish a risk-stratification model for recurrence in ICC. We subsequently trained this transcriptomic panel in a clinical cohort (AUC = 0.89; 95% confidence interval [CI] = 0.79-0.95), followed by evaluating its performance in an independent validation cohort (AUC = 0.86; 95% CI = 0.80-0.90). By combining our transcriptomic panel with various clinicopathologic features, we established a risk-stratification model that was significantly superior for the identification of recurrence (AUC = 0.89; univariate HR = 6.08, 95% CI = 3.55-10.41, P < 0.01; and multivariate HR = 3.49, 95% CI = 1.81-6.71, P < 0.01). The risk-stratification model identified potential recurrence in 85% of high-risk patients and nonrecurrence in 76% of low-risk patients, which is dramatically superior to currently used pathological features.
conclusionsWe report a transcriptomic signature for risk-stratification and recurrence prediction that is superior to currently used clinicopathological features in patients with ICC.
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