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Prognostic Factors for Patients With a Large Number of Hepatocellular Carcinoma Nodules.

ABSTRACT: Background:The prognostic factors and treatment strategies for hepatocellular carcinoma (HCC) patients with a large number of tumor nodules have not been fully elucidated. Clinical factors influencing prognosis were investigated in HCC patients with 30 or more tumor nodules. Methods:Forty-six HCC patients with 30 or more tumor nodules participated in this study. None of them had vascular invasion and extrahepatic metastasis. Kaplan-Meier curve and Cox proportional hazard model were used for analysis. Results:The median survival time of our patients was no more than 15 months, suggesting that patients with 30 or more tumor nodules may be regarded as a progressive subgroup showing poorer prognosis. In multivariate analysis, presence of between 30 and 59 tumor nodules (P = 0.002), male gender (P = 0.002), lower total bilirubin (total bilirubin < 1.0 mg/dL) (P = 0.011), transarterial chemoembolization (TACE) as an initial therapy (P = 0.027) and higher prothrombin time (P = 0.049) were significant independent factors for better overall survival. Among 39 patients who underwent TACE as an initial therapy, patients who received sorafenib therapy during follow-up showed better overall survival than those who did not (P = 0.026). Efficacy of sorafenib appeared to be more evident in patients who needed repeated transarterial treatment. Conclusions:In HCC patients with 30 or more tumor nodules, TACE as an initial therapy may be correlated with better prognosis. Sorafenib administration after the prior transarterial treatment may improve antitumor efficacy.

SUBMITTER: Abe Y

PROVIDER: S-EPMC6968922 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Prognostic Factors for Patients With a Large Number of Hepatocellular Carcinoma Nodules.

Abe Yutaro Y Ohkawa Kazuyoshi K Sakakibara Mitsuru M Nawa Takatoshi T Fukutake Nobuyasu N Ikezawa Kenji K Takada Ryoji R Kusakabe Akira A Imai Toshihiro T Nakanishi Katsuyuki K Tabuchi Takahiro T Hikita Hayato H Sakamori Ryotaro R Tatsumi Tomohide T Takehara Tetsuo T Katayama Kazuhiro K

Journal of clinical medicine research 20200106 1

<h4>Background</h4>The prognostic factors and treatment strategies for hepatocellular carcinoma (HCC) patients with a large number of tumor nodules have not been fully elucidated. Clinical factors influencing prognosis were investigated in HCC patients with 30 or more tumor nodules.<h4>Methods</h4>Forty-six HCC patients with 30 or more tumor nodules participated in this study. None of them had vascular invasion and extrahepatic metastasis. Kaplan-Meier curve and Cox proportional hazard model wer ...[more]

PMID: 32010419

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Project description:Background and aimsHepatic arterial infusion chemotherapy (HAIC) using the FOLFOX regimen (oxaliplatin plus fluorouracil and leucovorin) is a promising option for large hepatocellular carcinoma (HCC). However, post-HAIC prognosis can vary in different patients due to tumor heterogeneity. Herein, we established two nomogram models to assess the survival prognosis of patients after HAIC combination therapy.MethodsA total of 1082 HCC patients who underwent initial HAIC were enrolled between February 2014 and December 2021. We built two nomogram models for survival prediction: the preoperative nomogram (pre-HAICN) using preoperative clinical data and the postoperative nomogram (post-HAICN) based on pre-HAICN and combination therapy. The two nomogram models were internally validated in one hospital and externally validated in four hospitals. A multivariate Cox proportional hazards model was used to identify risk factors for overall survival (OS). The performance outcomes of all models were compared by area under the receiver operating characteristic curve (AUC) analysis with the DeLong test.ResultsMultivariable analysis identified larger tumor size, vascular invasion, metastasis, high albumin-bilirubin grade, and high alpha-fetoprotein as indicators for poor prognosis. With these variables, the pre-HAICN provided three risk strata for OS in the training cohort: low risk (5-year OS, 44.9%), middle risk (5-year OS, 20.6%), and high risk (5-year OS, 4.9%). The discrimination of the three strata was improved significantly in the post-HAICN, which included the above-mentioned factors and number of sessions, combination with immune checkpoint inhibitors, tyrosine kinase inhibitors, and local therapy (AUC, 0.802 versus 0.811, p < 0.001).ConclusionsThe nomogram models are essential to identify patients with large HCC suitable for treatment with HAIC combination therapy and may potentially benefit personalized decision-making.Lay summaryHepatic arterial infusion chemotherapy (HAIC) provides sustained higher concentrations of chemotherapy agents in large hepatocellular carcinoma (HCC) by hepatic intra-arterial, result in better objective response outperformed the intravenous administration. HAIC is significantly correlated with favorable survival outcome and obtains extensive support in the effective and safe treatment of intermediate advanced-stage HCC. In view of the high heterogeneity of HCC, there is no consensus regarding the optimal tool for risk stratification before HAIC alone or HAIC combined with tyrosine kinase inhibitors or immune checkpoint inhibitors treatment in HCC. In this large collaboration, we established two nomogram models to estimate the prognosis and evaluate the survival benefits with different HAIC combination therapy. It could help physicians in decision-making before HAIC and comprehensive treatment for large HCC patients in clinical practice and future trials.

Project description:Sarcomatoid carcinoma (SC) is regarded as a rare malignant neoplasm associated with poor outcomes. This study aimed to explore the epidemiological characteristics and prognostic factors of SC, and establish a clinical predictive model. The Surveillance, Epidemiology, and End Results database was used for data inquiry of patients with SC. Relevant population materials were used for age-adjusted incidence, limited-duration prevalence and prognostic analyses, and also for nomogram construction and validation. A total of 17,917 cases of SC were identified. Among them, 12,276 (68.52%) were women and 14,265 (79.62%) were white. Most cases occurred in the female genital system, accounting for 41.10% of all SCs. The median age at diagnosis was 68 years. The incidence and prevalence of SC increased substantially over time. The age-adjusted incidence increased from 0.31/100,000 in 1973 to 1.26/100,000 by 2014, a 4.06-fold change. Among site groups, the incidence of SC in the female genital and the respiratory system increased most significantly (P < 0.001). As for stage and grade, the incidence increased the most in distant and high-grade SC, respectively (P < 0.001). Moreover, the survival duration varied significantly by site, histology, stage and grade (P < 0.001). The multivariable analyses showed that the year of diagnosis, age, sex, race, grade, stage, and site were all significant prognostic factors (P < 0.001). Among these, stage and primary tumor site were the most valuable indicators of outcomes. Furthermore, a nomogram comprising age, histology, grade, stage and site were established to predict the 3-/5-year survival probability. The concordance indexes of the nomogram were 0.745 (95% confidence interval [CI]: 0.737-0.753) and 0.743 (95% CI: 0.728-0.756) for the internal and external validations, respectively. The calibration plot demonstrated satisfactory consistency between the actual and predicted outcomes in both the internal and external validations. In conclusion, increasing incidence and prevalence of SC was observed in our study, suggesting that SC is more prevalent than previously reported. Clinicians should be familiar with the characteristics of these tumors. Furthermore, the established nomogram could accurately predict the 3-/5-year survival rate of patients with SC, which may be of value for patient counselling and risk stratification.

Dataset Information

Prognostic Factors for Patients With a Large Number of Hepatocellular Carcinoma Nodules.

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Prognostic Factors for Patients With a Large Number of Hepatocellular Carcinoma Nodules.

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