Literature DB >> 15295682

[Prognosis of hepatocellular carcinoma according to new staging classifications].

M Caselitz1, N Masche, P Flemming, C Stern, M P Manns, S Wagner, S Kubicka.   

Abstract

BACKGROUND AND
OBJECTIVE: We investigated prognostic factors and survival of patients with hepatocellular carcinoma (HCC) in North-Germany. Established staging systems (Child-Pugh, Okuda and UICC classification) were compared with new prognostic scores from Italy (CLIP) and Spain (BCLC). PATIENTS AND METHODS: The clinical course of 62 consecutive patients (34-82 years, 48 males, 14 females) with HCC observed in the Medical School of Hannover from October 1996 to September 1998 were retrospectively analyzed. The patients were classified according to the staging systems of Child Pugh, Okuda, UICC, CLIP and BCLC. Follow-up ended on December 31 (st) 2001.
RESULTS: Overall median survival was 11,3 (1 - 59,5) months. At univariate analysis (log-rank test) Okuda, UICC, CLIP and BCLC Score were each associated with a shorter survival. In contrast Child Pugh score provided no significant prognostication. By multiple regression analysis (Cox regression analysis), only the CLIP and UICC score and chronic hepatitis B infection were shown to be independent risk factors.
CONCLUSION: Our investigations indicate, that the CLIP and UICC classifications identified those patients with the best prognosis and they, as well as chronic hepatitis C, were shown to be independent risk factors.

Entities:  

Mesh:

Year:  2004        PMID: 15295682     DOI: 10.1055/s-2004-829023

Source DB:  PubMed          Journal:  Dtsch Med Wochenschr        ISSN: 0012-0472            Impact factor:   0.628


  7 in total

Review 1.  [MRT of the liver. Clinical significance of nonspecific and liver-specific MRT contrast agents].

Authors:  A Ba-Ssalamah; B Happel; J Kettenbach; A Dirisamer; F Wrba; F Längle; W Schima
Journal:  Radiologe       Date:  2004-12       Impact factor: 0.635

2.  Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile.

Authors:  Chen Zhao; Leming Shi; Weida Tong; John D Shaughnessy; André Oberthuer; Lajos Pusztai; Youping Deng; W Fraser Symmans; Tieliu Shi
Journal:  BMC Genomics       Date:  2011-12-23       Impact factor: 3.969

3.  Survival rate in patients with hepatocellular carcinoma: a retrospective analysis of 389 patients.

Authors:  T F Greten; F Papendorf; J S Bleck; T Kirchhoff; T Wohlberedt; S Kubicka; J Klempnauer; M Galanski; M P Manns
Journal:  Br J Cancer       Date:  2005-05-23       Impact factor: 7.640

4.  Predictors of 5 year survival rate in hepatocellular carcinoma patients.

Authors:  Arash Sarveazad; Shahram Agah; Asrin Babahajian; Naser Amini; Mansour Bahardoust
Journal:  J Res Med Sci       Date:  2019-10-25       Impact factor: 1.852

Review 5.  NAFLD-Associated HCC: Progress and Opportunities.

Authors:  Daniel Geh; Quentin M Anstee; Helen L Reeves
Journal:  J Hepatocell Carcinoma       Date:  2021-04-08

6.  Genomewide identification of a novel six-LncRNA signature to improve prognosis prediction in resectable hepatocellular carcinoma.

Authors:  Ying Wu; Peng-Shuo Wang; Ben-Gang Wang; Lu Xu; Wan-Xia Fang; Xiao-Fang Che; Xiu-Juan Qu; Yun-Peng Liu; Zhi Li
Journal:  Cancer Med       Date:  2018-10-30       Impact factor: 4.452

7.  Identification of the DNA Replication Regulator MCM Complex Expression and Prognostic Significance in Hepatic Carcinoma.

Authors:  Ting Cao; Shi-Jie Yi; Li-Xin Wang; Juan-Xia Zhao; Jiao Xiao; Ni Xie; Zhi Zeng; Qi Han; Hai-Ou Tang; Yu-Kun Li; Juan Zou; Qing Wu
Journal:  Biomed Res Int       Date:  2020-09-09       Impact factor: 3.411

  7 in total

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