Risk factors for recurrence after curative resection of hepatitis C-related hepatocellular carcinoma in patients without postoperative interferon therapy

2013 ◽  
Vol 43 (12) ◽  
pp. 1313-1320 ◽  
Author(s):  
Yo-ichi Yamashita ◽  
Ken Shirabe ◽  
Takeo Toshima ◽  
Eiji Tsuijita ◽  
Kazuki Takeishi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Hepatitis C ◽  
Curative Resection ◽  
Interferon Therapy ◽  
Risk Factors For Recurrence

Risk Factors for Recurrence after Resection of Hepatitis C Virus-related Hepatocellular Carcinoma

2000 ◽  
Vol 24 (12) ◽  
pp. 1559-1565 ◽  
Author(s):  
Shoji Kubo ◽  
Kazuhiro Hirohashi ◽  
Hiromu Tanaka ◽  
Tadashi Tsukamoto ◽  
Taichi Shuto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Risk Factors For Recurrence

Response to interferon therapy affects risk factors for postoperative recurrence of hepatitis C virus-related hepatocellular carcinoma

2008 ◽  
Vol 98 (5) ◽  
pp. 358-362 ◽  
Author(s):  
Takahiro Uenishi ◽  
Shuhei Nishiguchi ◽  
Shogo Tanaka ◽  
Takatsugu Yamamoto ◽  
Shigekazu Takemura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Interferon Therapy ◽  
Postoperative Recurrence

Risk factors for hepatocellular carcinoma in Hepatitis C patients with sustained virologic response to interferon therapy

2004 ◽  
Vol 24 (6) ◽  
pp. 603-610 ◽  
Author(s):  
Yoshiaki Iwasaki ◽  
Kouichi Takaguchi ◽  
Hiroshi Ikeda ◽  
Yasuhiro Makino ◽  
Yasuyuki Araki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Hepatitis C ◽  
Sustained Virologic Response ◽  
Interferon Therapy ◽  
Virologic Response

scholarly journals Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Kongying Lin ◽  
Qizhen Huang ◽  
Lei Wang ◽  
Jianxing Zeng ◽  
Zongren Ding ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Curative Resection ◽  
Multivariable Analysis ◽  
Risk Groups ◽  
Prognostic Models ◽  
High Recurrence Rate ◽  
Tumor Diameter ◽  
Staging Systems ◽  
Risk Factors For Recurrence

Background and AimsThe incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been published in the past decades. Hence, we aimed to investigate the risk factors for recurrence of NBNC-HCC and construct pre- and postoperative prognostic models for predicting recurrence in these patients who underwent curative resection.MethodsWe retrospectively analyzed 608 patients who underwent liver resection for NBNC-HCC. A multivariate Cox proportional hazard regression analysis was conducted to identify the independent risk factors of recurrence, based on which the prediction nomogram models were constructed and validated. The predictive performance of the models was assessed using the concordance index, time-dependent receiver operating characteristic curve, prediction error cure, and calibration curve. To facilitate clinical use, we stratified the patients into three distinct risk groups based on the score of the models. The cutoff scores of the models were determined by a survival tree analysis.ResultsMultivariable analysis identified neutrophil-to-lymphocyte ratio, alpha fetoprotein, tumor number, and tumor diameter as independent preoperative risk factors for recurrence. In addition to these variables, microvascular invasion was an independent postoperative risk factor for recurrence. The pre- and postoperative nomograms were constructed based on these variables. The C-index of the pre- and postoperative nomograms was 0.689 and 0.702 in the training cohort, 0.682 and 0.688 in the validation cohort, respectively, which were both higher than those of the conventional Barcelona Clinic Liver Cancer (BCLC) and 8th edition of the American Joint Committee on Cancer (AJCC8th) staging systems. In addition, the pre- and postoperative nomograms could also re-stratify patients with BCLC stage 0/A or AJCC8th stage IA/IB/II into distinct risk groups.ConclusionsWe constructed pre- and postoperative prognostic models for predicting recurrence in patients with NBNC-HCC who underwent curative resection. They can play a supplementary role to the traditional staging system.

scholarly journals Risk Factors for Recurrence of Hepatocellular Carcinoma after Curative Resection

2018 ◽  
Vol 23 (5) ◽  
pp. 314
Author(s):  
Mitsugi Shimoda ◽  
Tsunehiko Maruyama ◽  
Kazuomi Suzuki ◽  
Tomoya Tago ◽  
Kiyotaka Nishida ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Curative Resection ◽  
Risk Factors For Recurrence

Characteristics of Hepatitis B virus induced Hepatocellular Carcinoma in Egyptian patients

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Eman Mahmoud Fathy Barakat ◽  
Khalid Mahmoud AbdAlaziz ◽  
Mohamed Mahmoud Mahmoud El Tabbakh ◽  
Mohamed Kamal Alden Ali
Keyword(s):  
United States ◽  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Risk Factor ◽  
Hepatitis C ◽  
Hepatitis B ◽  
The United States ◽  
Age Difference ◽  
Co Morbidity ◽  
Incidence And Mortality

Abstract Background Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and is a leading cause of cancer-related death worldwide. In the United States, HCC is the ninth leading cause of cancer deaths. Despite advances in prevention techniques, screening, and new technologies in both diagnosis and treatment, incidence and mortality continue to rise. Cirrhosis remains the most important risk factor for the development of HCC regardless of etiology. Hepatitis B and C are independent risk factors for the development of cirrhosis. Alcohol consumption remains an important additional risk factor in the United States as alcohol abuse is five times higher than hepatitis C. Diagnosis is confirmed without pathologic confirmation. Screening includes both radiologic tests, such as ultrasound, computerized tomography, and magnetic resonance imaging, and serological markers such as αfetoprotein at 6-month interval. Aim To compare characteristics and behavior of Hepatocellular carcinoma (HCC) in chronic HCV patients and HVB patients Patients and Methods The current study was conducted on patients with de HCC presented at HCC clinic, Tropical medicine department Ain Shams University Hospitals between December 2017 and D ecember 2018, aged (18-70 years old) . Results eline characteristics of study population shown in Table 1 at enrolment, including gender, Education status, co-morbidity, underlying presence or absence of cirrhosis, Child-Pugh class of patients infected with viral hepatitis, and alpha-fetoprotein levels. Male proportion observed to be predominant in both HCV (62%) and HBV (75.4%) infected HCC population. Overall prevalence of HCV and HBV in patients having HCC was 65.95% and 34.04%, respectively. Presence of underlying liver cirrhosis was more significantly associated with HCV seropositives as compared to HBV seropositive patients (p0.05). Table 2 shows comparison of means between HCV and HBV seropositive patients with HCC. In univariate analysis, mean age difference (11.6 years), and total bilirubin levels (-1.91mg/dl) were the only statistically significant observations noted among HCV-HCC group (p = 0.05) Conclusion Hepatocellular carcinoma is mainly caused by Hepatitis C and Hepatitis B viruses, but latter showed predominance, comparatively worldwide and correlated HBV directly as a cause of HCC rather than HCV whose relation with HCC is still unclear (Shepard et al., 2006; Di Bisceglie, 2009). Because of the geographical differences and risk factors, the epidemiological burden of HCV and HBV has been observed different in different areas of the world. In developing countries due to high burden of HCV infection as compared to HBV such as in Taiwan (HCV 17.0%, HBV 13.8%) (Kao et al., 2011), Guam (HCV 19.6%, HBV 18%) (Haddock et al., 2013), and Pakistan (HCV 4.8%, HBV 2.5%) (Rehman et al., 1996; Raza et al., 2007; Qureshi et al., 2010; Butt et al., 2012;) will possibly

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