The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Genomic analysis of hepatoblastoma identifies distinct molecular and prognostic subgroups
Open accessAbstract
Despite being the most common liver cancer in children, hepatoblastoma (HB) is a rare neoplasm. Consequently, few pretreatment tumors have been molecularly profiled, and there are no validated prognostic or therapeutic biomarkers for HB patients. We report on the first large-scale effort to profile pretreatment HBs at diagnosis. Our analysis of 88 clinically annotated HBs revealed three risk-stratifying molecular subtypes that are characterized by differential activation of hepatic progenitor cell markers and metabolic pathways: high-risk tumors were characterized by up-regulated nuclear factor, erythroid 2-like 2 activity; high lin-28 homolog B, high mobility group AT-hook 2, spalt-like transcription factor 4, and alpha-fetoprotein expression; and high coordinated expression of oncofetal proteins and stem-cell markers, while low-risk tumors had low lin-28 homolog B and lethal-7 expression and high hepatic nuclear factor 1 alpha activity. CONCLUSION: Analysis of immunohistochemical assays using antibodies targeting these genes in a prospective study of 35 HBs suggested that these candidate biomarkers have the potential to improve risk stratification and guide treatment decisions for HB patients at diagnosis; our results pave the way for clinical collaborative studies to validate candidate biomarkers and test their potential to improve outcome for HB patients. (Hepatology 2017;65:104-121).
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Therapeutic microRNA Delivery Suppresses Tumorigenesis in a Murine Liver Cancer Model
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Cited by
The Curious Case of the HepG2 Cell Line: 40 Years of Expertise
Arzumanian, V. A., Kiseleva, O. I., & Poverennaya, E. V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222313135 · Cited by 387
Rewiring lipid metabolism by targeting PCSK9 and HMGCR to treat liver cancer
Alannan, M., Trézéguet, V., Amoêdo, N. D., Rossignol, R., Mahfouf, W., Rezvani, H. R., Dittrich-Domergue, F., Moreau, P., Lacomme, S., Gontier, E., et al. (2022) · Cancers · doi:10.3390/cancers15010003 · Cited by 25
Metadata
- Authors
- Sumazin, P., Chen, Y., Treviño, L. R., Sarabia, S. F., Hampton, O. A., Patel, K., Mistretta, T., Zorman, B., Thompson, P., Heczey, A., Comerford, S., Wheeler, D. A., Chintagumpala, M., Meyers, R., Rakheja, D., Finegold, M. J., Tomlinson, G., Parsons, D. W., & López‐Terrada, D.
- Venue
- Hepatology
- Published
- 2017-01
- Volume
- 65
- Issue
- 1
- Pages
- 104-121
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2536314181
- Cited by
- 258
- References
- 49
- FWCI
- 10.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Sumazin, P., Chen, Y., Treviño, L. R., Sarabia, S. F., Hampton, O. A., Patel, K., Mistretta, T., Zorman, B., Thompson, P., Heczey, A., Comerford, S., Wheeler, D. A., Chintagumpala, M., Meyers, R., Rakheja, D., Finegold, M. J., Tomlinson, G., Parsons, D. W., & López‐Terrada, D. (2017). Genomic analysis of hepatoblastoma identifies distinct molecular and prognostic subgroups. Hepatology. https://doi.org/10.1002/hep.28888
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