scholarly journals Nomograms Predicting Long-Term Overall Survival and Cancer-Specific Survival in Metastatic Hepatocellular Carcinoma Patients

2020 ◽  
Author(s):  
Chi Cui ◽  
Yaru Duan ◽  
Rui Li ◽  
Hua Ye ◽  
Peng Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Cox Regression ◽  
Training Group ◽  
Clinicopathological Characteristics ◽  
Validation Group ◽  
Cancer Specific Survival ◽  
Term Survival ◽  
Metastatic Hepatocellular Carcinoma

Abstract Background This study aims to evaluate the clinicopathological characteristics of metastatic hepatocellular carcinoma (HCC) patients and develop nomograms to predict their long-term overall survival (OS) and cancer-specific survival (CSS). Methods Information on metastatic HCC from 2010 to 2015 was retrieved from the Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute. The metastatic HCC patients were divided into a long-term survival (LTS) group and a short-term survival (STS) group with 1 year selected as the cut-off value. Then, we compared the demographic and clinicopathological features between the two groups. Next, all patients were randomly divided into a training group and validation group at a 7:3 ratio. Univariate and multivariate Cox regression analyses were used to identify potential predictors for OS and CSS in the training group, and nomograms of OS and CSS were established. These predictive models were further validated in the validation group. Results A total of 2163 patients were included in the current study according to the inclusion and exclusion criteria. Patients with characteristics including lower T stage and N stage; treatment with surgery, radiation or chemotherapy; no lung metastasis; and AFP negative status showed better survival. The concordance index (C-index) of the OS nomogram was 0.72 based on 9 variables. The C-index of the CSS nomogram was 0.71 based on 8 variables. Conclusions These nomograms may help clinicians make better treatment recommendations for metastatic HCC patients.

scholarly journals Nomograms Predicting Long-Term Overall Survival and Cancer-Specific Survival in Metastatic Hepatocellular Carcinoma Patients: A SEER Population-Based Study

2020 ◽  
Author(s):  
Chi Cui ◽  
Yaru Duan ◽  
Rui Li ◽  
Hua Ye ◽  
Peng Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Cox Regression ◽  
Training Group ◽  
Population Based ◽  
Validation Group ◽  
Cancer Specific Survival ◽  
Term Survival ◽  
Metastatic Hepatocellular Carcinoma

Abstract Background: This study aims to evaluate the clinicopathological characteristics of metastatic hepatocellular carcinoma (HCC) patients and develop nomograms to predict their long-term overall survival (OS) and cancer-specific survival (CSS). Methods: Information on metastatic HCC from 2010 to 2015 was retrieved from the Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute. The metastatic HCC patients were divided into a long-term survival (LTS) group and a short-term survival (STS) group with 1 year selected as the cut-off value. Then, we compared the demographic and clinicopathological features between the two groups. Next, all patients were randomly divided into a training group and validation group at a 7:3 ratio. Univariate and multivariate Cox regression analyses were used to identify potential predictors for OS and CSS in the training group, and nomograms of OS and CSS were established. These predictive models were further validated in the validation group. Results: A total of 2163 patients were included in the current study according to the inclusion and exclusion criteria. Patients with characteristics including lower T stage and N stage; treatment with surgery, radiation or chemotherapy; no lung metastasis; and AFP negative status showed better survival. The concordance index (C-index) of the OS nomogram was 0.72 based on 9 variables. The C-index of the CSS nomogram was 0.71 based on 8 variables.Conclusions: These nomograms may help clinicians make better treatment recommendations for metastatic HCC patients.

scholarly journals Undifferentiated Embryonal Sarcoma of the Liver in Children Versus Adults: A National Cancer Database Analysis

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2918
Author(s):  
Ioannis A. Ziogas ◽  
Irving J. Zamora ◽  
Harold N. Lovvorn III ◽  
Christina E. Bailey ◽  
Sophoclis P. Alexopoulos
Keyword(s):  
Surgical Treatment ◽  
Cox Regression ◽  
Clinicopathological Characteristics ◽  
National Cancer Database ◽  
Term Survival ◽  
Long Term Survival ◽  
Risk Of Mortality ◽  
Increased Risk ◽  
Embryonal Sarcoma

This study evaluates the clinicopathological characteristics and outcomes of children vs. adults with undifferentiated embryonal sarcoma of the liver (UESL). A retrospective analysis of 82 children (<18 years) and 41 adults (≥18 years) with UESL registered in the National Cancer Database between 2004–2015 was conducted. No between-group differences were observed regarding tumor size, metastasis, surgical treatment, margin status, and radiation. Children received chemotherapy more often than adults (92.7% vs. 65.9%; p < 0.001). Children demonstrated superior overall survival vs. adults (log-rank, p < 0.001) with 5-year rates of 84.4% vs. 48.2%, respectively. In multivariable Cox regression for all patients, adults demonstrated an increased risk of mortality compared to children (p < 0.001), while metastasis was associated with an increased (p = 0.02) and surgical treatment with a decreased (p = 0.001) risk of mortality. In multivariable Cox regression for surgically-treated patients, adulthood (p = 0.004) and margin-positive resection (p = 0.03) were independently associated with an increased risk of mortality. Multimodal treatment including complete surgical resection and chemotherapy results in long-term survival in most children with UESL. However, adults with UESL have poorer long-term survival that may reflect differences in disease biology and an opportunity to further refine currently available treatment schemas.

scholarly journals Impact of postoperative complications on long-term survival of hepatocellular carcinoma patients after liver resection

2021 ◽  
Author(s):  
Susumu Mochizuki ◽  
Hisashi Nakayama ◽  
Yutaka Midorikawa ◽  
Tokio Higaki ◽  
Masamichi Moriguchi ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Liver Resection ◽  
Pleural Effusion ◽  
Postoperative Complications ◽  
Recurrence Free Survival ◽  
Term Survival ◽  
Free Survival ◽  
Long Term Survival

Objective The effect of postoperative complications including red blood transfusion (BT) on long-term survival for hepatocellular carcinoma (HCC) is unknown. The purpose of this study was to define the relationship between postoperative complications and long-term survival in patients with HCC. Methods Postoperative complications of 1251 patients who underwent curative liver resection for HCC were classified, and their recurrence-free survival (RFS) and cumulative overall survival (OS) were investigated. Results Any complications occurred in 503 patients (40%). Five-year RFS and 5-year OS in the complication group were 21% and 56%, respectively, significantly lower than the respective values of 32% ( p &lt; 0.001) and 68% ( p &lt; 0.001) in the no-complication group (n=748). Complications related to RFS were postoperative BT [Hazard ratio (HR): 1.726, 95% confidence interval (CI): 1.338–2.228, p &lt; 0.001], pleural effusion [HR: 1.434, 95% CI: 1.200–1.713, p &lt; 0.001] using Cox-proportional hazard model. Complications related to OS were postoperative BT [HR: 1.843, 95%CI: 1.380-2.462, p &lt; 0.001], ascites [HR: 1.562, 95% CI: 1.066–2.290 p = 0.022], and pleural effusion [HR: 1.421, 95% CI: 1.150–1.755, p = 0.001). Conclusions Postoperative complications were factors associated with poor long-term survival. Postoperative BT and pleural effusion, were noticeable complications that were prognostic factors for both recurrence-free survival and overall survival.

scholarly journals Crosstalk between Activated and Inactivated c-Src in Hepatocellular Carcinoma

2011 ◽  
Vol 30 (6) ◽  
pp. 325-333 ◽  
Author(s):  
Mei-Lin Chen ◽  
Chee-Yin Chai ◽  
Kun-Tu Yeh ◽  
Shen-Nien Wang ◽  
Chia-Jung Tsai ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Survival Rate ◽  
Cox Regression ◽  
Patient Survival ◽  
Survival Curve ◽  
Clinicopathological Characteristics ◽  
Active State ◽  
Overall Survival Rate ◽  
Independent Prognostic Marker

C-Src activity is regulated by tyrosine phosphorylation at two distinct sites, Tyr416 and Tyr527, with opposite effects. However, the clinical roles of these sites in human cancers are not well defined. This study aims to determine whether the alterations and crosstalk of these two sites may contribute to hepatocellular carcinoma (HCC). Specimens from 85 patients who had undergone curative hepatectomy were collected for this study. The patterns of p-Tyr416-Src and p-Tyr527-Src, as well as the non-phosphorylated status for each site, were determined using immunohistochemistry and statistically correlated with clinicopathological characteristics and overall survival rate. The active state of c-Src, p-Tyr416-c-Src, was positively correlated with tumour grade (P= 0.062) but inversely correlated with vascular invasion (P= 0.071). Its non-phosphorylated status, non-p-Tyr416-c-Src, was positively correlated with tumour stage and grade (P= 0.041 and 0.020). The inactive state of c-Src, p-Tyr527-c-Src, was decreased in male patients but increased HCV-infected patients (P= 0.044 and 0.033). The Kaplan-Meier survival curve further showed that increased p-Tyr416-c-Src and decreased non-p-Tyr527-c-Src expression were associated with a poor patient survival rate (P= 0.004 and 0.025). Interestingly, the expression of non-p-Tyr416-c-Src was positively correlated with that of p-Tyr527-c-Src in the HCC lesions (P= 0.040). In addition, the patients with concomitantly low p-Tyr416-c-Src and non-p-Tyr527-c-Src expression had a prolonged overall survival rate (P= 0.030). A multivariable COX regression model showed that p-Tyr416-c-Src expression was an effective predictor for patient survival in HCC [OR = 3.78, 95%CI = 1.46–9.76;P= 0.006]. Our results suggest that the active state of c-Src, p-Tyr416-c-Src, may serve as an independent prognostic marker of patient survival in HCC. Relative levels of other phosphorylated or non-phosphorylated c-Src kinases may also present different statuses during HCC development and require further investigation.

scholarly journals A Unique Case of Hepatocellular Carcinoma Treated with Radiofrequency Ablation with More than 12 Years Overall Survival: A Case Report

2010 ◽  
Vol 2010 ◽  
pp. 1-4
Author(s):  
Loukas Thanos ◽  
Nikolaos Ptohis ◽  
Anastasia Pomoni ◽  
Evangelia Sotiropoulou ◽  
Mary Pomoni ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Clinical Status ◽  
Local Tumor Progression ◽  
Local Tumor ◽  
First Line ◽  
Unique Case ◽  
Term Survival ◽  
Anticancer Treatment

The case of a 72-year-old male patient with HCC is presented in whom percutaneous RFA was used as the sole first-line anticancer treatment, since he denied having partial hepatectomy. The patient underwent RFA two more times, at 1.5 years for treating a local tumor progression at the initial ablation site and at 11 years after the first session for treating a new remote intrahepatic recurrence. He revealed a long-term survival of more than 12 years so far and still remains in excellent clinical status.

MR-guided laser-induced thermotherapy (LITT) in liver metastases of colorectal cancer: Long-term survival data.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e14131-e14131
Author(s):  
Thomas J. Vogl ◽  
Alena Dommermuth ◽  
Katrin Eichler ◽  
Stephan Zangos
Keyword(s):  
Overall Survival ◽  
Survival Analysis ◽  
Survival Rate ◽  
Lymph Nodes ◽  
Liver Metastases ◽  
Median Survival ◽  
Cox Regression ◽  
Term Survival ◽  
Median Survival Rate

e14131 Background: To evaluate retrospectively long-term survival of 594 patients with colorectal liver metastases treated with MR-guided laser-induced thermotherapy (LITT) depending on different factors. Methods: 594 patients with liver metastases from colorectal carcinoma treated with MR-guided LITT between 01/99 and 12/10 were included. For survival analysis tumor localization, TNM classification, number of metastases, diameter and volume of metastases and necrosis, lobular spread, number of treatment sessions, performance of adjuvant chemotherapy and transarterial chemoembolisation were considered. The Kaplan-Meier method was used to conduct this survival analysis. Results: Log-rank test showed statistically significant differences between survival curves, multivariate Cox-regression-analysis (p<0.05) showed prognostic factors regarding overall survival like number of metastases pre intervention, adjuvant chemotherapy, diameter of metastases, ratio of volumes of necrosis and metastases, and affected lymph nodes. Median overall survival rate at the time of first LITT was 25 months, 1-year survival: 78%, 2-year survival: 50.1%, 3-year survival: 28%; 4-year survival: 16.4%; 5-year survival: 7.8%. Numbers of metastases pre intervention: 1-2 metastases with a median survival rate of 60 months; 3-4 metastases: 45 months; ≥5 metastases: 42 months. Median survival rate for metastases <20mm in diameter 36 months; 20-30mm 27 months, 30-40mm 24 months and >40mm 21 months. Affected lymph nodes: median survival rate for patients with N0-classification 30 months, N1-classification 24 months; N2/N3/N4-classification 22 months. Conclusions: Multivariate Cox regression model provided the minimal number of significant variables with the maximal prognostic value concerning overall survival for MR-guided LITT, i.e., diameter and number of metastases and primary classification of lymph nodes.

AST-to-APOA ratio to predict overall survival in hepatocellular carcinoma receiving TACE.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16637-e16637
Author(s):  
Yongjian Chen ◽  
Xing Li ◽  
Jie Chen ◽  
Gang Qin ◽  
Yidan Qiao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Cox Regression ◽  
Independent Predictor ◽  
Group Versus ◽  
Stage I ◽  
Monocyte Count ◽  
Validation Group ◽  
Kaplan Meier ◽  
Significant Difference

e16637 Background: Current guidelines lack definitive evidences about the predictive capability of clinical parameters for transcatheter arterial chemoembolization (TACE). The aim of this study was to comprehensively investigate the predictive factor among stage I-IV liver hepatocellular carcinoma (LIHC) patients after TACE. Methods: We investigated the clinical features of 211 stage I-IV patients with LIHC in discover group and 341 patients in validation group. Overall survival (OS) was estimated using the Kaplan-Meier method and the log-rank test. Results: Univariate Cox regression revealed that Monocyte count, TNM stage and AST-to-APOA ratio (AAR) were associated with unfavorable OS. AAR was identified as an independent predictor of OS using multivariate analysis. Kaplan-Meier curve demonstrated that patients with AAR < 50 displayed better prognosis. The median follow-up time was 17.1 (95%CI, 14.4 to 19.3) months, 3-year overall survival was 55.9% in the low AAR group versus 28.6% in the high AAR group, and there was significant difference in OS (Hazard ratio [HR] 0.47, 95%CI 0.33 to 0.67, P < 0.001). The AAR showed predictive ability for OS (12-month, AUC = 0.707). These findings were successfully validated in validation group (HR 0.62, 95%CI 0.46 to 0.84, P = 0.002; 12-month AUC = 0.636). Conclusions: AAR was an independent predictor among LIHC patients after TACE. Patients with lower AAR were optimal candidates for TACE.

scholarly journals Postoperative Nomogram for predicting Cancer-Specific and Overall Survival Among Patients with Medullary Thyroid Cancer

2020 ◽  
Author(s):  
Li Chen ◽  
Yizeng Wang ◽  
Ke Zhao ◽  
Yuyun Wang ◽  
Dongyang Li ◽  
...  
Keyword(s):  
Overall Survival ◽  
Lymph Nodes ◽  
Total Thyroidectomy ◽  
Cox Regression ◽  
Test Group ◽  
Training Group ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Lymph Nodes Dissection ◽  
Neck Lymph Nodes

Abstract Background Medullary thyroid carcinoma (MTC) accounts for 1% -2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who undergo total thyroidectomy and neck lymph nodes dissection.Methods Data regarding 1237 MTC patients who undergo total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival and cancer-specific survival among these MTC patients.Result A total of 1237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors (P <0.05). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group were 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group were 0.813 and 0.828.Conclusion Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who undergo total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

scholarly journals Human Nuclear Receptors (NRs) Genes have Prognostic Significance in Hepatocellular Carcinoma Patients

2020 ◽  
Author(s):  
Guangtao Sun ◽  
Kejian Sun ◽  
Chao Shen
Keyword(s):  
Hepatocellular Carcinoma ◽  
Nuclear Receptors ◽  
Risk Score ◽  
Prognostic Model ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Prognostic Signature ◽  
Term Survival ◽  
Cox Regression Analysis

Abstract Background: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality in the world. Human nuclear receptors (NRs) have been identified to closely related to various cancer. However, the prognostic significance of NRs on HCC patients has not been studied in detail.Method: We downloaded the mRNA profiles and clinical information of 371 HCC patients from TCGA database and analyzed the expression of 48 NRs. The consensus clustering analysis with the mRNA levels of 48 NRs was performed by the "ConsensusClusterPlus". The Univariate cox regression analysis was performed to predict the prognostic significance of NRs on HCC. The risk score was calculated by the prognostic model constructed based on eight optimal NRs which were selected. Then Multivariate Cox regression analysis was performed to determine whether the risk score is an independent prognostic signature. Finally, the nomogram based on multiple independent prognostic factors including risk score and TNM Stage was used to predict the long-term survival of HCC patients.Results: NRs could effectively separate HCC samples with different prognosis. The prognostic model constructed based on the eight optimal NRs (NR1H3, ESR1, NR1I2, NR2C1, NR6A1, PPARD, PPARG and VDR) could effectively predict the prognosis of HCC patients as an independent prognostic signature. Moreover, the nomogram was constructed based on multiple independent prognostic factors including risk score and TNM Stage and could better predict the long-term survival for 3- and 5-year of HCC patients.Conclusion: Our results provided novel evidences that NRs could act as the potential prognostic signatures for HCC patients.

scholarly journals Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Li Chen ◽  
Yizeng Wang ◽  
Ke Zhao ◽  
Yuyun Wang ◽  
Xianghui He
Keyword(s):  
Overall Survival ◽  
Lymph Nodes ◽  
Total Thyroidectomy ◽  
Cox Regression ◽  
Test Group ◽  
Training Group ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Lymph Nodes Dissection ◽  
Neck Lymph Nodes

Background. Medullary thyroid carcinoma (MTC) accounts for 1%–2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, and this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who underwent total thyroidectomy and neck lymph nodes dissection. Methods. Data regarding 1,237 MTC patients who underwent total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database. Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors. These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival, and cancer-specific survival among these MTC patients. Result. A total of 1,237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370). Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors ( P < 0.05 ). Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS). Finally, two nomograms were developed, and the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group was 0.828 and 0.904, respectively. The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group was 0.813 and 0.828. Conclusion. Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who underwent total thyroidectomy and neck lymph nodes. These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

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