Literature DB >> 27781198

Novel Pretreatment Scoring Incorporating C-reactive Protein to Predict Overall Survival in Advanced Hepatocellular Carcinoma with Sorafenib Treatment.

Hiroyuki Nakanishi1, Masayuki Kurosaki1, Kaoru Tsuchiya1, Yutaka Yasui1, Mayu Higuchi1, Tsubasa Yoshida1, Yasuyuki Komiyama1, Kenta Takaura1, Tsuguru Hayashi1, Konomi Kuwabara1, Natsuko Nakakuki1, Hitomi Takada1, Masako Ueda1, Nobuharu Tamaki1, Shoko Suzuki1, Jun Itakura1, Yuka Takahashi1, Namiki Izumi1.   

Abstract

OBJECTIVES: This study aimed to build a prediction score of prognosis for patients with advanced hepatocellular carcinoma (HCC) after sorafenib treatment.
METHODS: A total of 165 patients with advanced HCC who were treated with sorafenib were analyzed. Readily available baseline factors were used to establish a scoring system for the prediction of survival.
RESULTS: The median survival time (MST) was 14.2 months. The independent prognostic factors were C-reactive protein (CRP) <1.0 mg/dL [hazard ratio (HR) =0.51], albumin >3.5 g/dL (HR =0.55), alpha-fetoprotein <200 ng/mL (HR =0.45), and a lack of major vascular invasion (HR =0.39). Each of these factors had a score of 1, and after classifying the patients into five groups, the total scores ranged from 0 to 4. Higher scores were linked to significantly longer survival (p<0.0001). Twenty-nine patients (17.6%) with a score of 4 had a MST as long as 36.5 months, whereas MST was as short as 2.4 and 3.7 months for seven (4.2%) and 22 (13.3%) patients with scores of 0 and 1, respectively.
CONCLUSIONS: A novel prognostic scoring system, which includes the CRP level, has the ability to stratify the prognosis of patients with advanced stage HCC after treatment with sorafenib.

Entities:  

Keywords:  Hepatocellular carcinoma; Prognostic prediction; Systemic chemotherapy

Year:  2016        PMID: 27781198      PMCID: PMC5075810          DOI: 10.1159/000449337

Source DB:  PubMed          Journal:  Liver Cancer        ISSN: 1664-5553            Impact factor:   11.740


  43 in total

1.  Usefulness of a new inflammation-based scoring system for prognostication of patients with hepatocellular carcinoma after hepatectomy.

Authors:  Shozo Mori; Junji Kita; Masato Kato; Mitsugi Shimoda; Keiichi Kubota
Journal:  Am J Surg       Date:  2014-05-21       Impact factor: 2.565

2.  Analysis of factors affecting recurrence of hepatocellular carcinoma after liver transplantation with a special focus on inflammation markers.

Authors:  Valentina Rosa Bertuzzo; Matteo Cescon; Matteo Ravaioli; Gian Luca Grazi; Giorgio Ercolani; Massimo Del Gaudio; Alessandro Cucchetti; Antonietta D'Errico-Grigioni; Rita Golfieri; Antonio Daniele Pinna
Journal:  Transplantation       Date:  2011-06-15       Impact factor: 4.939

3.  Serum C-reactive protein is a useful biomarker for predicting outcomes after liver transplantation in patients with hepatocellular carcinoma.

Authors:  Ho Jung An; Jeong Won Jang; Si Hyun Bae; Jong Young Choi; Seung Kew Yoon; Myung Ah Lee; Young Kyoung You; Dong Goo Kim; Eun Sun Jung
Journal:  Liver Transpl       Date:  2012-12       Impact factor: 5.799

Review 4.  Hepatocellular carcinoma.

Authors:  Alejandro Forner; Josep M Llovet; Jordi Bruix
Journal:  Lancet       Date:  2012-02-20       Impact factor: 79.321

5.  New strategies in hepatocellular carcinoma: genomic prognostic markers.

Authors:  Augusto Villanueva; Yujin Hoshida; Sara Toffanin; Anja Lachenmayer; Clara Alsinet; Radoslav Savic; Helena Cornella; Josep M Llovet
Journal:  Clin Cancer Res       Date:  2010-08-16       Impact factor: 12.531

Review 6.  Sorafenib: from literature to clinical practice.

Authors:  V Di Marco; F De Vita; J Koskinas; D Semela; P Toniutto; C Verslype
Journal:  Ann Oncol       Date:  2013-04       Impact factor: 32.976

Review 7.  Hepatocellular carcinoma: clinical frontiers and perspectives.

Authors:  Jordi Bruix; Gregory J Gores; Vincenzo Mazzaferro
Journal:  Gut       Date:  2014-02-14       Impact factor: 23.059

8.  Serum C-reactive protein levels predict survival in hepatocellular carcinoma.

Authors:  Sakae Nagaoka; Takafumi Yoshida; Junji Akiyoshi; Jun Akiba; Takuji Torimura; Hisashi Adachi; Junichi Kurogi; Nobuyoshi Tajiri; Kinya Inoue; Takashi Niizeki; Hironori Koga; Tsutomu Imaizumi; Masamichi Kojiro; Michio Sata
Journal:  Liver Int       Date:  2007-10       Impact factor: 5.828

9.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

10.  Overexpression of C-reactive Protein as a Poor Prognostic Marker of Resectable Hepatocellular Carcinomas.

Authors:  Jin Ho Shin; Chong Jai Kim; Eun Jeong Jeon; Chang Ohk Sung; Hwa Jeong Shin; Jene Choi; Eunsil Yu
Journal:  J Pathol Transl Med       Date:  2015-03-12
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  10 in total

Review 1.  Role of inflammatory markers as hepatocellular cancer selection tool in the setting of liver transplantation.

Authors:  Russell E Rosenblatt; Zaid H Tafesh; Karim J Halazun
Journal:  Transl Gastroenterol Hepatol       Date:  2017-11-21

2.  Prognostic models for outcome prediction in patients with advanced hepatocellular carcinoma treated by systemic therapy: a systematic review and critical appraisal.

Authors:  Li Li; Xiaomi Li; Wendong Li; Jinglong Chen; Wei Li; Xiaoyan Ding; Yongchao Zhang
Journal:  BMC Cancer       Date:  2022-07-09       Impact factor: 4.638

3.  An efficient model for auxiliary diagnosis of hepatocellular carcinoma based on gene expression programming.

Authors:  Li Zhang; Jiasheng Chen; Chunming Gao; Chuanmiao Liu; Kuihua Xu
Journal:  Med Biol Eng Comput       Date:  2018-03-16       Impact factor: 2.602

4.  Serological Risk Index Based on Alpha-Fetoprotein and C-Reactive Protein to Indicate Futile Liver Transplantation Among Patients with Advanced Hepatocellular Carcinoma.

Authors:  Arno Kornberg; Martina Schernhammer; Jennifer Kornberg; Helmut Friess; Katharina Thrum
Journal:  Dig Dis Sci       Date:  2018-09-27       Impact factor: 3.199

5.  Improved Prediction of Survival by a Risk Factor-Integrating Inflammatory Score in Sorafenib-Treated Hepatocellular Carcinoma.

Authors:  Martin F Sprinzl; Martha M Kirstein; Sandra Koch; Marie-Luise Seib; Julia Weinmann-Menke; Hauke Lang; Christoph Düber; Gerrit Toenges; Daniela Zöller; Jens U Marquardt; Marcus-Alexander Wörns; Peter R Galle; Arndt Vogel; Matthias Pinter; Arndt Weinmann
Journal:  Liver Cancer       Date:  2018-10-04       Impact factor: 11.740

6.  PIB: A Score to Select Sorafenib Treatment Candidates for Hepatocellular Carcinoma in Resource-Limited Settings.

Authors:  James S Leathers; Domingo Balderramo; Jhon Prieto; Fernando Diehl; Esteban Gonzalez-Ballerga; Melina R Ferreiro; Enrique Carrera; Fernando Barreyro; Javier Diaz-Ferrer; Dupinder Singh; Angelo Z Mattos; Flair Carrilho; Jose D Debes
Journal:  Hepat Mon       Date:  2018-10-21       Impact factor: 0.660

7.  C-reactive protein is an independent predictor for hepatocellular carcinoma recurrence after liver transplantation.

Authors:  Tobias Meischl; Susanne Rasoul-Rockenschaub; Georg Györi; Wolfgang Sieghart; Thomas Reiberger; Michael Trauner; Thomas Soliman; Gabriela Berlakovich; Matthias Pinter
Journal:  PLoS One       Date:  2019-05-29       Impact factor: 3.240

8.  Transarterial Chemoembolization related to Good Survival for Selected Patients with advanced Hepatocellular Carcinoma.

Authors:  Yong Le; Jing-Xian Shen; Yong-Fa Zhang; Min-Ke He; Anna Kan; Hai-Long Chen; Zi-Shan Yu; Qi-Jiong Li; Ming Shi
Journal:  J Cancer       Date:  2019-01-01       Impact factor: 4.207

9.  C-reactive protein can predict dose intensity, time to treatment failure and overall survival in HCC treated with lenvatinib.

Authors:  Tsuguru Hayashi; Michihiko Shibata; Shinji Oe; Koichiro Miyagawa; Yuichi Honma; Masaru Harada
Journal:  PLoS One       Date:  2020-12-22       Impact factor: 3.240

10.  Increased systemic zonula occludens 1 associated with inflammation and independent biomarker in patients with hepatocellular carcinoma.

Authors:  Amit Kumar Ram; Biju Pottakat; Balasubramaniyan Vairappan
Journal:  BMC Cancer       Date:  2018-05-18       Impact factor: 4.430

  10 in total

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