Identification of lenvatinib prognostic index via recursive partitioning analysis in advanced hepatocellular carcinoma
| العنوان: | Identification of lenvatinib prognostic index via recursive partitioning analysis in advanced hepatocellular carcinoma |
|---|---|
| المؤلفون: | 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 |
| المساهمون: | 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. |
| المصدر: | ESMO Open |
| بيانات النشر: | Elsevier, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 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 |
| الوصف: | 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. |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| تدمد: | 2059-7029 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c646c8ea42eb9869b7fe150f8d4da7b4Test http://europepmc.org/articles/PMC8219999Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....c646c8ea42eb9869b7fe150f8d4da7b4 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20597029 |
|---|