The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Neoangiogenesis-related genes are hallmarks of fast-growing hepatocellular carcinomas and worst survival. Results from a prospective study
Open accessAbstract
Objective: The biological heterogeneity of hepatocellular carcinoma (HCC) makes prognosis difficult. We translate the results of a genome-wide high-throughput analysis into a tool that accurately predicts at presentation tumour growth and survival of patients with HCC. Design: Ultrasound surveillance identified HCC in 78 (training set) and 54 (validation set) consecutive patients with cirrhosis. Patients underwent two CT scans 6 weeks apart (no treatment in-between) to determine tumour volumes (V 0 and V 1) and calculate HCC doubling time. Baseline-paired HCC and surrounding tissue biopsies for microarray study (Agilent Whole Human Genome Oligo Microarrays) were also obtained. Predictors of survival were assessed by multivariate Cox model. Results: Calculated tumour doubling times ranged from 30 to 621 days (mean, 107±91 days; median, 83 days) and were divided into quartiles: ≤53 days (n=19), 54–82 days (n=20), 83–110 days (n=20) and ≥111 days (n=19). Median survival according to doubling time was significantly lower for the first quartile versus the others (11 vs 41 months, 42, and 47 months, respectively) (p<0.0001). A five-gene transcriptomic hepatic signature including angiopoietin-2 (ANGPT2), delta-like ligand 4 (DLL4), neuropilin (NRP)/tolloid (TLL)-like 2 (NETO2), endothelial cell-specific molecule-1 (ESM1), and nuclear receptor subfamily 4, group A, member 1 (NR4A1) was found to accurately identify rapidly growing HCCs of the first quartile (ROC AUC: 0.961; 95% CI 0.919 to 1.000; p<0.0001) and to be an independent factor for mortality (HR: 3.987; 95% CI 1.941 to 8.193, p<0.0001). Conclusions: The hepatic five-gene signature was able to predict HCC growth in individual patient and the consequent risk of death. This implies a role of this molecular tool in the future therapeutic management of patients with HCC. Trial registration number: ClinicalTrials.gov Identifier: NCT01657695.
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Genetic landscape and biomarkers of hepatocellular carcinoma
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TGF-β and the Tissue Microenvironment: Relevance in Fibrosis and Cancer
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Self-citationDistinguishing features of microglia- and monocyte-derived macrophages after stroke
Kronenberg, G., Uhlemann, R., Richter, N., Klempin, F., Wegner, S., Staerck, L., Wolf, S., Uckert, W., Kettenmann, H., Endres, M., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-017-1795-6 · Cited by 111
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Metadata
- Authors
- Villa, E., Critelli, R., Lei, B., Marzocchi, G., Cammà, C., Giannelli, G., Pontisso, P., Cabibbo, G., Enea, M., Colopi, S., Caporali, C., Pollicino, T., Milosa, F., Karampatou, A., Todesca, P., Bertolini, E., Maccio, L., Martinez-Chantar, M. L., Turola, E., Del Buono, M., De Maria, N., Ballestri, S., Schepis, F., Loria, P., Enrico Gerunda, G., Losi, L., & Cillo, U.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2015-02-09
- Volume
- 65
- Issue
- 5
- Pages
- 861-869
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2127712585
- Cited by
- 262
- References
- 37
- FWCI
- 10.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Villa, E., Critelli, R., Lei, B., Marzocchi, G., Cammà, C., Giannelli, G., Pontisso, P., Cabibbo, G., Enea, M., Colopi, S., Caporali, C., Pollicino, T., Milosa, F., Karampatou, A., Todesca, P., Bertolini, E., Maccio, L., Martinez-Chantar, M. L., Turola, E., . . . Cillo, U. (2016). Neoangiogenesis-related genes are hallmarks of fast-growing hepatocellular carcinomas and worst survival. Results from a prospective study. Gut. https://doi.org/10.1136/gutjnl-2014-308483
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