Total tumor volume as a prognostic value for survival following liver resection in patients with hepatocellular carcinoma. Retrospective cohort study

Zakaria, Hazem; Macshut, Mahmoud; Gaballa, Nahla K.; Sherif, A.; Abdel-Samea, Mohammed E.; Abdel‐Samiee, Mohamed; Marwan, Ibrahim; Yassein, Taha

doi:10.1016/j.amsu.2020.04.001

Cited by 13 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A large number of studies showed that tumor size and AFP were crucial prognostic factors of HCC. [18][19][20] The similar result was also observed in this present study. When combined with tumor size and AFP, the AIAG (0.705, 95% CI: 0.655-0.755) indicated a higher rank than BCLC staging system (Table 4).…”

Section: Comparing the Accuracy Of Predicting Survival Between The Aiag And The Classic Bclc Stagesupporting

confidence: 92%

The Combination of Age, International Standardized Ratio, Albumin and γ-Glutamyl Transpeptidase (AIAG), Tumor Size and Alpha Fetoprotein (AFP) Stage as the Prognostic Model for Hepatitis B-Related Hepatocellular Carcinoma

Liu

Fang

et al. 2021

IJGM

View full text Add to dashboard Cite

Background Advanced liver fibrosis can lead to cirrhosis, portal hypertension and liver failure. Besides, advanced liver fibrosis and cirrhosis are the major risk factors for hepatocellular carcinoma (HCC). Almost all patients with HCC also have liver cirrhosis. This study aims to predict the survival rate of hepatitis B-related hepatocellular carcinoma (HCC) by age, international standardized ratio, albumin and γ-glutamyl transpeptidase (AIAG), an indicator measuring the degree of cirrhosis. Methods A total of 501 hepatitis B-related HCC patients experiencing radical surgery were analyzed, retrospectively. General data about demographics and labs were collected at the date of diagnosis to calculate AIAG [age, international standardized ratio (INR), albumin and gamma-glutamyl transferase (GGT)]. The Kaplan–Meier curves and Cox analysis were used to evaluate overall survival (OS) and recurrence-free survival (RFS). The C-index was calculated in R software (version 4.0.3) to evaluate the accuracy of the prognostic model. Results During a median follow-up period of 30 months, 31.1% (156/501) of the patients died, and 34.3% (172/501) experienced the recurrence of HCC. Compared with patients with lower AIAG score, patients with higher AIAG score had higher Child-Pugh grade and were at higher Barcelona Clinic Liver Cancer (BCLC) stage (both P <0.05). Multivariate analysis suggested that GGT, alpha fetoprotein (AFP), tumor size, BCLC stage and AIAG grade were independent predictors of OS and RFS. Furthermore, the combined use of tumor size, AFP and AIAG stage could predict survival significantly better (C-index=0.710, 95% CI: 0.669–0.751) than BCLC stage. Conclusion AIAG is significantly associated with survival of HCC patients, and provides additional prognostic information for patients with HCC. Our findings suggest that the combination of AIAG, tumor size and AFP stage has a better predictive value for the prognosis of patients with hepatitis B-related hepatocellular carcinoma. However, it is necessary for more external evidences to determine clinical utility.

show abstract

Section: Comparing the Accuracy Of Predicting Survival Between The Aiag And The Classic Bclc Stagesupporting

confidence: 92%

The Combination of Age, International Standardized Ratio, Albumin and γ-Glutamyl Transpeptidase (AIAG), Tumor Size and Alpha Fetoprotein (AFP) Stage as the Prognostic Model for Hepatitis B-Related Hepatocellular Carcinoma

Liu

Fang

et al. 2021

IJGM

View full text Add to dashboard Cite

show abstract

“…HCC is one of the most lethal human cancers. With the development of clinical management strategies for liver cancer, some prognostic factors, including tumor volume, grade, and stage and the number of lesions, have been characterized ( 7 , 8 ). However, an effective molecular biomarker for monitoring the HCC prognosis is still urgently needed.…”

Section: Discussionmentioning

confidence: 99%

Autophagy-Related Signatures as Prognostic Indicators for Hepatocellular Carcinoma

Shi

Zhou

et al. 2022

Front. Oncol.

View full text Add to dashboard Cite

BackgroundHepatocellular carcinoma (HCC) is the most common and deadly type of liver cancer. Autophagy is the process of transporting damaged or aging cellular components into lysosomes for digestion and degradation. Accumulating evidence implies that autophagy is a key factor in tumor progression. The aim of this study was to determine a panel of novel autophagy-related prognostic markers for liver cancer.MethodsWe conducted a comprehensive analysis of autophagy-related gene (ARG) expression profiles and corresponding clinical information based on The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. The univariate Cox proportional regression model was used to screen candidate autophagy-related prognostic genes. In addition, a multivariate Cox proportional regression model was used to identify five key prognostic autophagy-related genes (ATIC, BAX, BIRC5, CAPNS1, and FKBP1A), which were used to construct a prognostic signature. Real-time qPCR analysis was used to evaluate the expression levels of ARGs in 20 surgically resected HCC samples and matched tumor-adjacent normal tissue samples. In addition, the effect of FKBP1A on autophagy and tumor progression was determined by performing in vitro and in vivo experiments.ResultsBased on the prognostic signature, patients with liver cancer were significantly divided into high-risk and low-risk groups in terms of overall survival (OS). A subsequent multivariate Cox regression analysis indicated that the prognostic signature remained an independent prognostic factor for OS. The prognostic signature possessing a better area under the curve (AUC) displayed better performance in predicting the survival of patients with HCC than other clinical parameters. Furthermore, FKBP1A was overexpressed in HCC tissues, and knockdown of FKBP1A impaired cell proliferation, migration, and invasion through the PI3K/AKT/mTOR signaling pathway.ConclusionThis study provides a prospective biomarker for monitoring outcomes of patients with HCC.

show abstract

“…Also, larger tumors were assumed to have a higher incidence of satellite nodules and vascular invasion. [15] Thus, the consequent relationship between larger TTV and the aggressive clinicopathological characteristics of HCC led to the valuable studies of the prognostic value of TTV. [15] Therefore, after performing a multivariate regression analysis, we proved that the number of tumors and tumor diameter can be used as predictors of downstaging e cacy by TACE.…”

Section: Discussionmentioning

confidence: 99%

The efficacy of transarterial chemoembolization in downstaging unresectable hepatocellular carcinoma to curative therapy: a predicted regression model

et al. 2022

View full text Add to dashboard Cite

Background: Patients with hepatocellular carcinoma (HCC) outside the Milan criteria (MC) may be candidates for curative therapy after successful downstaging. However, there have been no studies that have examined the factors affecting the e cacy of transarterial chemoembolization (TACE) on downstaging. We aimed to identify the predictors of successful downstaging of unresectable HCC in patients by TACE outside the MC.Methods: We performed a retrospective study on patients with unresectable HCC outside the MC who received downstaging with TACE. Clinical and laboratory variables were recorded. We identi ed 101 patients with unresectable HCC who underwent initial TACE, and they formed the derivation set of this study. Thirty patients who received TACE treatment with the same selection criteria served as an external validation set. We performed multivariate logistic regression analyses to identify the variables associated with successful downstaging. Then, we created a predictive model and determined its accuracy in predicting the e ciency of TACE.Results: Of the 101 patients in the study, 26 patients (25.7%) were successfully downstaged. Multivariate analysis was performed on the number of tumors (P=0.018), portal vein tumor thrombi (PVTT) ( 0.001), the size of tumors (P=0.021), hepatitis B surface antigen (HBsAg) (P=0.014), and a-fetoprotein (AFP, P=0.027), which were considered as signi cant predictors of successful downstaging of HCC outside the MC. Then, we constructed the predictive model. The area under the ROC curve (AUROC) for the predictive equation was 0.908 (95% con dence interval, 0.832-0.957).Conclusions: We found in our study that the number and size of tumors, PVTT, HBsAg, and AFP are good predictors of successful downstaging of unresectable HCC in patients by TACE outside the MC.

show abstract

Total tumor volume as a prognostic value for survival following liver resection in patients with hepatocellular carcinoma. Retrospective cohort study

Cited by 13 publications

References 26 publications

The Combination of Age, International Standardized Ratio, Albumin and γ-Glutamyl Transpeptidase (AIAG), Tumor Size and Alpha Fetoprotein (AFP) Stage as the Prognostic Model for Hepatitis B-Related Hepatocellular Carcinoma

The Combination of Age, International Standardized Ratio, Albumin and γ-Glutamyl Transpeptidase (AIAG), Tumor Size and Alpha Fetoprotein (AFP) Stage as the Prognostic Model for Hepatitis B-Related Hepatocellular Carcinoma

Autophagy-Related Signatures as Prognostic Indicators for Hepatocellular Carcinoma

The efficacy of transarterial chemoembolization in downstaging unresectable hepatocellular carcinoma to curative therapy: a predicted regression model

Contact Info

Product

Resources

About