Dataset Information

Hepatocellular Carcinoma Survival by Etiology: A SEER-Medicare Database Analysis.

ABSTRACT: In the United States, hepatocellular carcinoma (HCC) survival varies with tumor characteristics, patient comorbidities, and treatment. The effect of HCC etiology on survival is less clearly defined. The relationship between HCC etiology and mortality was examined using Surveillance, Epidemiology, and End Results-Medicare data. In a cohort of 11,522 HCC cases diagnosed from 2000 through 2014, etiologies were identified from Medicare data, including metabolic disorders (32.9%), hepatitis C virus (8.2%), alcohol (4.7%), hepatitis B virus (HBV, 2.1%), rare etiologies (0.9%), multiple etiologies (26.7%), and unknown etiology (24.4%). After adjusting for demographics, tumor characteristics, comorbidities and treatment, hazard ratios (HRs) and survival curves by HCC etiology were estimated using Cox proportional hazard models. Compared with HBV-related HCC cases, higher mortality was observed for those with alcohol-related HCC (HR 1.49; 95% confidence interval [95% CI] 1.25-1.77), metabolic disorder-related HCC (HR 1.25; 95% CI 1.07-1.47), and multiple etiology-related HCC (HR 1.25; 95% CI 1.07-1.46), but was not statistically significant for hepatitis C virus-related, rare disorder-related, and HCC of unknown etiology. For all HCC etiologies, there was short median survival ranging from 6.1 months for alcohol to 10.3 months for HBV. Conclusion: More favorable survival was seen with HBV-related HCC. To the extent that HCC screening is more common among persons with HBV infection compared to those with other etiologic risk factors, population-based HCC screening, applied evenly to persons across all HCC etiology categories, could shift HCC diagnosis to earlier stages, when cases with good clinical status are more amenable to curative therapy.

SUBMITTER: Brar G

PROVIDER: S-EPMC7527688 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Hepatocellular Carcinoma Survival by Etiology: A SEER-Medicare Database Analysis.

Brar Gagandeep G Greten Tim F TF Graubard Barry I BI McNeel Timothy S TS Petrick Jessica L JL McGlynn Katherine A KA Altekruse Sean F SF

Hepatology communications 20200809 10

In the United States, hepatocellular carcinoma (HCC) survival varies with tumor characteristics, patient comorbidities, and treatment. The effect of HCC etiology on survival is less clearly defined. The relationship between HCC etiology and mortality was examined using Surveillance, Epidemiology, and End Results-Medicare data. In a cohort of 11,522 HCC cases diagnosed from 2000 through 2014, etiologies were identified from Medicare data, including metabolic disorders (32.9%), hepatitis C virus ( ...[more]

PMID: 33024922

Similar Datasets

Project description:ObjectiveThis study aimed to investigate the incidence of the pulmonary sarcomatoid carcinoma (PSC), to compare the clinical characteristics and overall survival (OS) of patients with PSC and those with other non-small-cell lung cancer (oNSCLC), so as to analyze the factors affecting the OS of patients with PSC and construct a nomogram prediction model.MethodsData of patients with PSC and those with oNSCLC diagnosed between 2004 and 2015 from the Surveillance, Epidemiology, and End Results database were collected. The age-adjusted incidence of PSC was calculated. The characteristics of patients with PSC and those with oNSCLC were compared, then the patients were matched 1:2 for further survival analysis. Patients with PSC were randomly divided into training set and testing set with a ratio of 7:3. The Cox proportional hazards model was used to identify the covariates associated with the OS. Significant covariates were used to construct the nomogram, and the C-index was calculated to measure the discrimination ability. The accuracy of the nomogram was compared with the tumor-node-metastasis (TNM) clinical stage, and the corresponding area under the curve was achieved.ResultsA total of 1049 patients with PSC were enrolled, the incidence of PSC was slowly decreased from 0.120/100,000 in 2004 to 0.092/100,000 in 2015. Before PSM, 793 PSC patients and 191356 oNSCLC patients were identified, the proportion of male, younger patients (<65 years), grade IV, TNM clinical stage IV was higher in the PSC. The patients with PSC had significantly poorer OS compared with those with oNSCLC. After PSM, PSC still had an extremely inferior prognosis. Age, sex, TNM clinical stage, chemotherapy, radiotherapy, and surgery were independent factors for OS. Next, a nomogram was established based on these factors, and the C-indexs were 0.775 and 0.790 for the training and testing set, respectively. Moreover, the nomogram model indicated a more comprehensive and accurate prediction than the TNM clinical stage.ConclusionsThe incidence of PSC was slowly decreased. PSC had a significantly poor prognosis compared with oNSCLC. The nomogram constructed in this study accurately predicted the prognosis of PSC, performed better than the TNM clinical stage.

Project description:It is controversial regarding the treatment allocation for patients with stage I hepatocellular carcinoma (SI-HCC). The aim of the present study was to compare the long-term survival in SI-HCC patients undergoing liver transplantation (LT), liver resection (LR), local tumor destruction (LTD), or none. SI-HCC patients diagnosed between 2004 and 2015 were extracted from the SEER 18 registry database. Multivariable Cox models and propensity score matching (PSM) method were used to explore the association between surgical methods and long-term prognosis. A total of 5165 patients with stage I (AJCC, 6th or 7th) HCC were included in the study. Only 36.9% of patients diagnosed with HCC in stage I received surgical therapy. The incidence of LT was decreased over time (P?<?.001). In the multivariable-adjusted cohort (n?=?5165), after adjusting potential confounding factors, a clear prognostic advantage of LT was observed in OS (P?<?.0001) compared with patients after LR. Patients undergoing LTD had a worse OS in comparison with patients who underwent LR (P?<?.0001). Patients who received no surgical treatment had the worst OS (P?<?.0001) among 4 treatment groups. In stratified analyses, the salutary effects of LT vs LR on OS were consistent across all subgroups except for a similar result in the noncirrhotic subgroup (P?=?.4414). The inferior survival effects of LTD vs LR on OS were consistent across all subgroups, and even in the subgroup with tumor size?<?3?cm (P?=?.0342). In the PSM cohort, patients in LT group showed a better OS (P?<?.001) than patients in LR group (P?<?.0001) and patients undergoing LTD had a worse OS compared with patients who underwent LR (P?=?.00059). In conclusion, LT offered a survival advantage compared with LR among patients with Stage I HCC. LT is the best surgical treatment for stage I HCC in patients with advanced fibrosis, whereas LR provides comparable long-term outcomes to LT in patients without advanced fibrosis and should be considered as the first-line surgical option. LTD can be used as an alternative method when LR and LT are unavailable.

Project description:BackgroundCurrent staging systems for hepatocellular carcinoma (HCC) still have limitations in clinical practice. Our study aimed to explore the prognostic factors and develop a new nomogram to predict the cancer-specific survival (CSS) for patients with HCC.MethodsA total of 6,166 HCC patients were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly grouped into the training cohort (70%) and validation cohort (30%). Multivariate Cox analysis was used to identify prognostics factors for CSS of patients, then we incorporated these variables and presented a new nomogram to predict 2- and 5-year CSS. The performance of the nomogram was assessed with respect to its calibration, concordance index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), and decision curve analysis (DCA).ResultsMultivariate Cox analysis revealed that American Joint Committee on Cancer (AJCC) stage, race, grade, surgery, chemotherapy, radiation, tumor size, bone metastasis (BM), and alpha-fetoprotein (AFP) were independently associated with CSS. The prediction nomogram which contained these predictors showed good performance, with a C-index of 0.802 [95% confidence interval (CI), 0.792-0.812] in the training cohort and 0.801 (95% CI, 0.787-0.815) in the validation cohort. The calibration curves demonstrated good agreement between the actual observation and the nomogram prediction. Furthermore, the nomogram showed improved discriminative capacity (AUC, 0.873 and 0.875 for 2- and 5-year CSS in validation set) compared to the 7th tumor-node-metastasis (TNM) staging system (AUC, 0.735 and 0.717). The DCA also indicated good application of the nomogram.ConclusionsThis study presents a novel nomogram that incorporates the important prognostic factors of HCC, which can be conveniently used to accurately predict the 2- and 5-year CSS of patients with HCC, thus assisting individualized clinical decision making.

Dataset Information

Hepatocellular Carcinoma Survival by Etiology: A SEER-Medicare Database Analysis.

Publications

Hepatocellular Carcinoma Survival by Etiology: A SEER-Medicare Database Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets