Identification of lenvatinib prognostic index via recursive partitioning analysis in advanced hepatocellular carcinoma
| Autor: | Marianna Silletta, V. Burgio, Gianluca Masi, A. Takata, M.G. Viola, Mario Domenico Rizzato, Kazuto Tajiri, H. Toyoda, M. Scartozzi, Francesca Salani, Syusuke Okamura, Francesco Giuseppe Foschi, Takashi Kumada, G. Astara, I.G. Rapposelli, Fabio Conti, Emiliano Tamburini, Claudia Campani, Kazuhito Kawata, Fabio Marra, A. Forgione, A. Hiraoka, Giovanni Luca Frassineti, R. Tortora, Takuji Torimura, Shigeo Shimose, Masahito Nakano, Masanori Atsukawa, Stefano Cascinu, Andrea Casadei-Gardini, H. Shibata, G.G. Di Costanzo, Caterina Vivaldi, Antonio Pellino, Claudia Angela Maria Fulgenzi, Toshifumi Tada, Eleonora Lai, Fabio Piscaglia, S. Lonardi, Margherita Rimini |
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| Přispěvatelé: | Rapposelli, I. G., Shimose, S., Kumada, T., Okamura, S., Hiraoka, A., Di Costanzo, G. G., Marra, F., Tamburini, E., Forgione, A., Foschi, F. G., Silletta, M., Lonardi, S., Masi, G., Scartozzi, M., Nakano, M., Shibata, H., Kawata, K., Pellino, A., Vivaldi, C., Lai, E., Takata, A., Tajiri, K., Toyoda, H., Tortora, R., Campani, C., Viola, M. G., Piscaglia, F., Conti, F., Fulgenzi, C. A. M., Frassineti, G. L., Rizzato, M. D., Salani, F., Astara, G., Torimura, T., Atsukawa, M., Tada, T., Burgio, V., Rimini, M., Cascinu, S., Casadei-Gardini, A., Rapposelli I.G., Shimose S., Kumada T., Okamura S., Hiraoka A., Di Costanzo G.G., Marra F., Tamburini E., Forgione A., Foschi F.G., Silletta M., Lonardi S., Masi G., Scartozzi M., Nakano M., Shibata H., Kawata K., Pellino A., Vivaldi C., Lai E., Takata A., Tajiri K., Toyoda H., Tortora R., Campani C., Viola M.G., Piscaglia F., Conti F., Fulgenzi C.A.M., Frassineti G.L., Rizzato M.D., Salani F., Astara G., Torimura T., Atsukawa M., Tada T., Burgio V., Rimini M., Cascinu S., Casadei-Gardini A. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Oncology
Cancer Research medicine.medical_specialty lenvatinib prognostic index Carcinoma Hepatocellular hepatocellular carcinoma recursive partitioning analysis Humans Phenylurea Compounds Prognosis Quinolines Chemoembolization Therapeutic Liver Neoplasms Recursive partitioning Prognostic score chemistry.chemical_compound Internal medicine medicine Original Research business.industry Carcinoma Treatment options Hepatocellular medicine.disease chemistry Hepatocellular carcinoma Cohort Chemoembolization Therapeutic Medium Risk Lenvatinib business |
| Zdroj: | ESMO Open |
| ISSN: | 2059-7029 |
| Popis: | Background After the advent of new treatment options for advanced hepatocellular carcinoma (HCC), the identification of prognostic factors is crucial for the selection of the most appropriate therapy for each patient. Patients and methods With the aim to fill this gap, we applied recursive partitioning analysis (RPA) to a cohort of 404 patients treated with lenvatinib. Results The application of RPA resulted in a classification based on five variables that originated a new prognostic score, the lenvatinib prognostic index (LEP) index, identifying three groups: low risk [patients with prognostic nutritional index (PNI) >43.3 and previous trans-arterial chemoembolization (TACE)]; medium risk [patients with PNI >43.3 but without previous TACE and patients with PNI Highlights • This study shows a new prognostic index (LEP index) for patients undergoing systemic therapy for hepatocellular carcinoma. • LEP index is an easy-to-use tool, based on clinical and laboratory features, that identifies three risk groups. • LEP index may be used to stratify hepatocellular carcinoma patients in order to select the most appropriate treatment. |
| Databáze: | OpenAIRE |
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