scholarly journals A staging system for hepatocellular carcinoma: Prognostic factors in Ugandan patients

Cancer ◽  
1975 ◽  
Vol 35 (5) ◽  
pp. 1357-1364 ◽  
Author(s):  
Aron Primack ◽  
Charles L. Vogel ◽  
Sebastian K. Kyalwazi ◽  
John L. Ziegler ◽  
Richard Simon ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Staging System

Prognostic nomogram to predict overall survival for patients with perihilar cholangiocarcinoma: A population-based study of SEER database (Preprint)

2020 ◽  
Author(s):  
Chendong Wang
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Staging System ◽  
Tnm Staging ◽  
Survival Outcome ◽  
Perihilar Cholangiocarcinoma ◽  
Cox Regression Analysis ◽  
Calibration Curves ◽  
Tnm Staging System ◽  
Net Benefits

BACKGROUND Perihilar cholangiocarcinoma (pCCA) is a highly aggressive malignancy with poor prognosis. Accurate prediction is of great significance for patients’ survival outcome. OBJECTIVE The present study aimed to propose a prognostic nomogram for predicting the overall survival (OS) for patients with pCCA. METHODS We conducted a retrospective analysis in a total of 940 patients enrolled from the Surveillance, Epidemiology, and End Results (SEER) program and developed a nomogram based on the prognostic factors identified from the cox regression analysis. Concordance index (C-index), risk group stratification and calibration curves were adopted to test the discrimination and calibration ability of the nomogram with bootstrap method. Decision curves were also plotted to evaluate net benefits in clinical use against TNM staging system. RESULTS On the basis of multivariate analysis, five independent prognostic factors including age, summary stage, surgery, chemotherapy, together with radiation were selected and entered into the nomogram model. The C-index of the model was significantly higher than TNM system in the training set (0.703 vs 0.572, P<0.001), which was also proved in the validation set (0.718 vs 0.588, P<0.001). The calibration curves for 1-, 2-, and 3-year OS probabilities exhibited good agreements between the nomogram-predicted and the actual observation. Decision curves displayed that the nomogram obtained more net benefits than TNM staging system in clinical context. The OS curves of two distinct risk groups stratified by nomogram-predicted survival outcome illustrated statistical difference. CONCLUSIONS We established and validated an easy-to-use prognostic nomogram, which can provide more accurate individualized prediction and assistance in decision making for pCCA patients.

scholarly journals Integrated analysis of methylation-driven genes and pretreatment prognostic factors in patients with hepatocellular carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dongsheng He ◽  
Shengyin Liao ◽  
Lifang Cai ◽  
Weiming Huang ◽  
Xuehua Xie ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Risk Score ◽  
Prognostic Model ◽  
Cox Regression ◽  
The Cancer Genome Atlas ◽  
Integrated Analysis ◽  
Calibration Plot ◽  
Clinical Parameters ◽  
T Stage

Abstract Background The potential reversibility of aberrant DNA methylation indicates an opportunity for oncotherapy. This study aimed to integrate methylation-driven genes and pretreatment prognostic factors and then construct a new individual prognostic model in hepatocellular carcinoma (HCC) patients. Methods The gene methylation, gene expression dataset and clinical information of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Methylation-driven genes were screened with a Pearson’s correlation coefficient less than − 0.3 and a P value less than 0.05. Univariable and multivariable Cox regression analyses were performed to construct a risk score model and identify independent prognostic factors from the clinical parameters of HCC patients. The least absolute shrinkage and selection operator (LASSO) technique was used to construct a nomogram that might act to predict an individual’s OS, and then C-index, ROC curve and calibration plot were used to test the practicability. The correlation between clinical parameters and core methylation-driven genes of HCC patients was explored with Student’s t-test. Results In this study, 44 methylation-driven genes were discovered, and three prognostic signatures (LCAT, RPS6KA6, and C5orf58) were screened to construct a prognostic risk model of HCC patients. Five clinical factors, including T stage, risk score, cancer status, surgical method and new tumor events, were identified from 13 clinical parameters as pretreatment-independent prognostic factors. To avoid overfitting, LASSO analysis was used to construct a nomogram that could be used to calculate the OS in HCC patients. The C-index was superior to that from previous studies (0.75 vs 0.717, 0.676). Furthermore, LCAT was found to be correlated with T stage and new tumor events, and RPS6KA6 was found to be correlated with T stage. Conclusion We identified novel therapeutic targets and constructed an individual prognostic model that can be used to guide personalized treatment in HCC patients.

scholarly journals Efficacy and Safety of Lenvatinib Therapy for Unresectable Hepatocellular Carcinoma in a Real-World Practice in Korea

Liver Cancer ◽  
2021 ◽  
pp. 1-11
Author(s):  
Myung Ji Goh ◽  
Joo Hyun Oh ◽  
Yewan Park ◽  
Jihye Kim ◽  
Wonseok Kang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Disease Progression ◽  
Real World ◽  
Medical Center ◽  
Objective Response ◽  
Progression Free Survival ◽  
Efficacy And Safety ◽  
Eligibility Criteria ◽  
Unresectable Hepatocellular Carcinoma

<b><i>Background:</i></b> Lenvatinib has been recently approved as a first-line treatment option for patients with unresectable hepatocellular carcinoma (HCC) in Korea. We aimed to study the efficacy and safety of lenvatinib therapy in a real-world practice and to find prognostic factors related to survival and disease progression. <b><i>Methods:</i></b> A hospital-based retrospective study was conducted on 111 consecutive patients who had unresectable HCC and were treated with lenvatinib at Samsung Medical Center from October 2018 to March 2020. Efficacy was determined using the modified Response Evaluation Criteria in Solid Tumors (mRECIST) criteria in 111 patients who completed 1st tumor assessment. Safety was evaluated in 116 HCC patients including 5 patients who discontinued lenvatinib due to adverse events (AEs) before 1st tumor assessment using Common Terminology Criteria for AEs version 5.0. <b><i>Results:</i></b> A total of 111 patients with a median age of 59 years were analyzed during a median follow-up duration of 6.2 (4.4–9.0) months. The Kaplan-Meier estimate of overall survival was 10.5 months, and the median progression-free survival was 6.2 months. Based on mRECIST criteria, the objective response rate was 18.9% and disease control rate was 75.7%. AEs developed in 86/116 (74.1%) patients, and grade ≥3 AEs developed in 16/116 (13.8%) patients. Diarrhea, hand-foot skin rash, abdominal pain, hypertension, and anorexia were identified as the AEs with the highest frequencies of any grade. REFLECT eligibility criteria including tumor extent ≥50% liver occupation or inadequate bone marrow function and occurrence of anorexia were prognostic factors for survival, and occurrence of diarrhea was a favorable factor for disease progression. <b><i>Conclusion:</i></b> Lenvatinib therapy showed a favorable efficacy and safety in a real-world practice. The REFLECT eligibility criteria and specific AEs could be one of the prognostic markers.

scholarly journals Efficacy of lenvatinib for unresectable hepatocellular carcinoma based on background liver disease etiology: multi-center retrospective study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Atsushi Hiraoka ◽  
Takashi Kumada ◽  
Toshifumi Tada ◽  
Joji Tani ◽  
Kazuya Kariyama ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Liver Disease ◽  
Hazard Analysis ◽  
Progression Free Survival ◽  
Significant Prognostic Factor ◽  
Disease Etiology ◽  
Alcoholic Fatty Liver ◽  
Free Survival ◽  
Significant Difference

AbstractIt was recently reported that hepatocellular carcinoma (HCC) patients with non-alcoholic steatohepatitis (NASH) are not responsive to immune-checkpoint inhibitor (ICI) treatment. The present study aimed to evaluate the therapeutic efficacy of lenvatinib in patients with non-alcoholic fatty liver disease (NAFLD)/NASH-related unresectable-HCC (u-HCC). Five hundred thirty u-HCC patients with Child–Pugh A were enrolled, and divided into the NAFLD/NASH (n = 103) and Viral/Alcohol (n = 427) groups. Clinical features were compared in a retrospective manner. Progression-free survival (PFS) was better in the NAFLD/NASH than the Viral/Alcohol group (median 9.3 vs. 7.5 months, P = 0.012), while there was no significant difference in overall survival (OS) (20.5 vs. 16.9 months, P = 0.057). In Cox-hazard analysis of prognostic factors for PFS, elevated ALT (≥ 30 U/L) (HR 1.247, P = 0.029), modified ALBI grade 2b (HR 1.236, P = 0.047), elevated AFP (≥ 400 ng/mL) (HR 1.294, P = 0.014), and NAFLD/NASH etiology (HR 0.763, P = 0.036) were significant prognostic factors. NAFLD/NASH etiology was not a significant prognostic factor in Cox-hazard analysis for OS (HR0.758, P = 0.092), whereas AFP (≥ 400 ng/mL) (HR 1.402, P = 0.009), BCLC C stage (HR 1.297, P = 0.035), later line use (HR 0.737, P = 0.014), and modified ALBI grade 2b (HR 1.875, P < 0.001) were significant. Lenvatinib can improve the prognosis of patients affected by u-HCC irrespective of HCC etiology or its line of treatment.

scholarly journals Tumor size may influence the prognosis of solitary hepatocellular carcinoma patients with cirrhosis and without macrovascular invasion after hepatectomy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bin-yong Liang ◽  
Jin Gu ◽  
Min Xiong ◽  
Er-lei Zhang ◽  
Zun-yi Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Size ◽  
Staging System ◽  
Prognostic Impact ◽  
Term Survival ◽  
Long Term Survival ◽  
Before And After ◽  
Cirrhotic Patients ◽  
Curative Hepatectomy

AbstractHepatocellular carcinoma (HCC) is usually associated with varying degrees of cirrhosis. Among cirrhotic patients with solitary HCC in the absence of macro-vascular invasion, whether tumor size drives prognosis or not after hepatectomy remains unknown. This study aimed to investigate the prognostic impact of tumor size on long-term outcomes after hepatectomy for solitary HCC patients with cirrhosis and without macrovascular invasion. A total of 813 cirrhotic patients who underwent curative hepatectomy for solitary HCC and without macrovascular invasion between 2001 and 2014 were retrospectively studied. We set 5 cm as the tumor cut-off value. Propensity score matching (PSM) was performed to minimize the influence of potential confounders including cirrhotic severity that was histologically assessed according to the Laennec staging system. Recurrence-free survival (RFS) and overall survival (OS) were compared between the two groups before and after PSM. Overall, 464 patients had tumor size ≤ 5 cm, and 349 had tumor size > 5 cm. The 5-year RFS and OS rates were 38.3% and 61.5% in the  ≤ 5 cm group, compared with 25.1% and 59.9% in the > 5 cm group. Long-term survival outcomes were significantly worse as tumor size increased. Multivariate analysis indicated that tumor size > 5 cm was an independent risk factor for tumor recurrence and long-term survival. These results were further confirmed in the PSM cohort of 235 pairs of patients. In cirrhotic patients with solitary HCC and without macrovascular invasion, tumor size may significantly affect the prognosis after curative hepatectomy.

Prognostic factors in patients with advanced hepatocellular carcinoma treated with sorafenib

2011 ◽  
Vol 34 (8) ◽  
pp. 949-959 ◽  
Author(s):  
M. Pinter ◽  
W. Sieghart ◽  
F. Hucke ◽  
I. Graziadei ◽  
W. Vogel ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Advanced Hepatocellular Carcinoma

AIDS-Related Kaposi’s Sarcoma: Evaluation of Potential New Prognostic Factors and Assessment of the AIDS Clinical Trial Group Staging System in the Haart Era—the Italian Cooperative Group on AIDS and Tumors and the Italian Cohort of Patients Naïve From Antiretrovirals

2003 ◽  
Vol 21 (15) ◽  
pp. 2876-2882 ◽  
Author(s):  
Guglielmo Nasti ◽  
Renato Talamini ◽  
Andrea Antinori ◽  
Ferdinando Martellotta ◽  
Gaia Jacchetti ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Survival Rate ◽  
Survival Data ◽  
Highly Active Antiretroviral Therapy ◽  
Kaposi's Sarcoma ◽  
Systemic Disease ◽  
Univariate Analysis ◽  
Kaposi’S Sarcoma ◽  
Staging System ◽  
Clinical Staging

Purpose: To assess potential new prognostic factors and to validate the AIDS Clinical Trials Group (ACTG) for AIDS-related Kaposi’s sarcoma (AIDS-KS) staging system in the highly active antiretroviral therapy (HAART) era. Patients and Methods: We collected epidemiologic, clinical, staging, and survival data from 211 patients with AIDS-KS enrolled in two prospective Italian human immunodeficiency virus (HIV) cohort studies. We included in the analysis all patients with the diagnosis of KS made from January 1996, the time at which HAART became available in Italy. Results: In the univariate analysis, survival was not influenced by sex, age, level of HIV viremia at KS diagnosis, HAART at KS diagnosis (HAART-naïve v HAART-experienced), or type of HAART combination. Regarding ACTG classification, the 3-year survival rate was 85% for T0 patients and 69% for T1 patients (P = .007), 83% for S0 patients and 63% for S1 patients (P = .003), and 83% for I0 patients and 71% for I1 patients (P = .06). In the multivariate analysis, only the combination of poor tumor stage (T1) and poor systemic disease (S1) risk identified patients with unfavorable prognosis. The 3-year survival rate of patients with T1S1 was 53%, which was significantly lower compared with the 3-year survival rates of patients with T0S0, T1S0, and T0S1, which were 88%, 80%, and 81%, respectively (P = .0001). Conclusion: In the era of HAART, a refinement of the original ACTG staging system is needed. CD4 level does not seem to provide prognostic information. Two different risk categories are identified: a good risk (T0S0, T1S0, T0S1) and a poor risk (T1S1).

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