Unknown

Dataset Information

0

Improved survival prediction and comparison of prognostic models for patients with hepatocellular carcinoma treated with sorafenib.


ABSTRACT: BACKGROUND:The 'Prediction Of Survival in Advanced Sorafenib-treated HCC' (PROSASH) model addressed the heterogeneous survival of patients with hepatocellular carcinoma (HCC) treated with sorafenib in clinical trials but requires validation in daily clinical practice. This study aimed to validate, compare and optimize this model for survival prediction. METHODS:Patients treated with sorafenib for HCC at five tertiary European centres were retrospectively staged according to the PROSASH model. In addition, the optimized PROSASH-II model was developed using the data of four centres (training set) and tested in an independent dataset. These models for overall survival (OS) were then compared with existing prognostic models. RESULTS:The PROSASH model was validated in 445 patients, showing clear differences between the four risk groups (OS 16.9-4.6 months). A total of 920 patients (n = 615 in training set, n = 305 in validation set) were available to develop PROSASH-II. This optimized model incorporated fewer and less subjective parameters: the serum albumin, bilirubin and alpha-foetoprotein, and macrovascular invasion, extrahepatic spread and largest tumour size on imaging. Both PROSASH and PROSASH-II showed improved discrimination (C-index 0.62 and 0.63, respectively) compared with existing prognostic scores (C-index ?0.59). CONCLUSIONS:In HCC patients treated with sorafenib, individualized prediction of survival and risk group stratification using baseline prognostic and predictive parameters with the PROSASH model was validated. The refined PROSASH-II model performed at least as good with fewer and more objective parameters. PROSASH-II can be used as a tool for tailored treatment of HCC in daily practice and to define pre-planned subgroups for future studies.

SUBMITTER: Labeur TA 

PROVIDER: S-EPMC6973249 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Improved survival prediction and comparison of prognostic models for patients with hepatocellular carcinoma treated with sorafenib.

Labeur Tim A TA   Berhane Sarah S   Edeline Julien J   Blanc Jean-Frederic JF   Bettinger Dominik D   Meyer Tim T   Van Vugt Jeroen L A JLA   Ten Cate David W G DWG   Ten Cate David W G DWG   De Man Robert A RA   Eskens Ferry A L M FALM   Cucchetti Alessandro A   Bonnett Laura J LJ   Van Delden Otto M OM   Klümpen Heinz-Josef HJ   Takkenberg R Bart RB   Johnson Philip J PJ  

Liver international : official journal of the International Association for the Study of the Liver 20191118 1


<h4>Background</h4>The 'Prediction Of Survival in Advanced Sorafenib-treated HCC' (PROSASH) model addressed the heterogeneous survival of patients with hepatocellular carcinoma (HCC) treated with sorafenib in clinical trials but requires validation in daily clinical practice. This study aimed to validate, compare and optimize this model for survival prediction.<h4>Methods</h4>Patients treated with sorafenib for HCC at five tertiary European centres were retrospectively staged according to the PR  ...[more]

Similar Datasets

| S-EPMC6873091 | biostudies-literature
| S-EPMC6288626 | biostudies-literature
| S-EPMC6738086 | biostudies-literature
| S-EPMC7775090 | biostudies-literature
| S-EPMC4918283 | biostudies-literature
| S-EPMC7205300 | biostudies-literature
| S-EPMC3921487 | biostudies-literature
| S-EPMC6883462 | biostudies-literature
| S-EPMC6679028 | biostudies-literature
| S-EPMC8199276 | biostudies-literature