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Hu S, Wu X, Wei M, Ling Y, Zhu M, Wang Y, Chen Y, Jin M, Peng Z. Cost-Effectiveness Analysis of Follow-Up Schedule for Hepatocellular Carcinoma after Radiofrequency Ablation. J Oncol 2022; 2022:3569644. [PMID: 35345515 DOI: 10.1155/2022/3569644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 02/13/2022] [Accepted: 02/14/2022] [Indexed: 11/29/2022]
Abstract
Methods A Markov model was established to evaluate the cost-effectiveness of every 2 months or 2-3 months (2- to 3-month group) versus every 3 months or 3-4 months (3- to 4-month group) posttreatment surveillance in the first two years for HCC after RFA. Transition probabilities and utility values were derived from the literature review. Costs of follow-up were estimated from our institution. The incremental cost-effectiveness ratio (ICER), which was less than $10888 per quality-adjusted life-year (QALY), was considered cost-effective. Sensitivity analyses were performed to determine the uncertainty of the model. Results The 2- to 3-month group gained 1.196 QALYs at a cost of $2212.66, while the effectiveness and cost of the 3- to 4-month group were 1.029 QALYs and $1268.92, respectively. The ICER of the 2- to 3-month group versus the 3- to 4-month group was $5651.14 per QALY gained, which was less than the willingness-to-pay threshold of 1-time gross domestic product per capita of China ($10888/QALY). One-way sensitivity analysis showed that the model was most sensitive to the utility of progression-free survival. The probabilistic sensitivity analysis demonstrated that the 2- to 3-month group had a higher probability of being more cost-effective than the 3- to 4-month group when willingness to pay was over $1088.8. Conclusions Every 2 months or 2-3 months of follow-up intervals were more cost-effective than 3 months or 3-4 months of follow-up intervals. Thus, the intensive follow-up interval in the first two years was recommended for Child-Pugh class A or B HCC patients within the Milan criteria following RFA.
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Ding W, Wang Z, Liu FY, Cheng ZG, Yu X, Han Z, Zhong H, Yu J, Liang P. A Hybrid Machine Learning Model Based on Semantic Information Can Optimize Treatment Decision for Naïve Single 3-5-cm HCC Patients. Liver Cancer 2022; 11:256-267. [PMID: 35949294 PMCID: PMC9218628 DOI: 10.1159/000522123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 11/28/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Tumor recurrence is an abomination for hepatocellular carcinoma (HCC) patients receiving local treatment. PURPOSE The aim of the study was to build a hybrid machine learning model to recommend optimized first treatment (laparoscopic hepatectomy [LH] or microwave ablation [MWA]) for naïve single 3-5-cm HCC patients based on early recurrence (ER, ≤2 years) probability. METHODS This retrospective study collected 20 semantic variables of 582 patients (LH: 300, MWA: 282) from 13 hospitals with at least 24 months follow-up. Both groups were divided into training, validation, and test set, respectively. Five algorithms (logistics regression, random forest, neural network, stochastic gradient boosting, and eXtreme Gradient Boosting [XGB]) were used for model building. A model with highest area under the receiver operating characteristic curve (AUC) in a validation set of LH and MWA was selected to connect as a hybrid model which made decision based on ER probability. Model testing was performed in a comprehensive set comprising LH and MWA test sets. RESULTS Four variables in each group were selected to build LH and MWA models, respectively. LH-XGB model (AUC = 0.744) and MWA-stochastic gradient method (AUC = 0.750) model were selected for model building. In the comprehensive set, a treatment confusion matrix was established based on recommended and actual treatment. The predicted ER probabilities were comparable with the actual ER rates for various types of patients in matrix (p > 0.05). ER rate of patients whose actual treatment consistent with recommendation was lower than that of inconsistent patients (LH: 21.2% vs. 46.2%, p = 0.042; MWA: 26.3% vs. 54.1%, p = 0.048). By recommending optimal treatment, the hybrid model can significantly reduce ER probability from 38.2% to 25.6% for overall patients (p < 0.001). CONCLUSIONS The hybrid model can accurately predict ER probability of different treatments and thereby provide reliable evidence to make optimal treatment decision for patients with single 3-5-cm HCC.
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Li S, Mei J, Wang Q, Shi F, Liu H, Zhao M, Lu L, Ling Y, Guo Z, Guo Y, Chen X, Shi M, Lau WY, Wei W, Guo R. Transarterial infusion chemotherapy with FOLFOX for advanced hepatocellular carcinoma: a multi-center propensity score matched analysis of real-world practice. Hepatobiliary Surg Nutr 2021; 10:631-645. [PMID: 34760967 DOI: 10.21037/hbsn.2020.03.14] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 02/24/2020] [Indexed: 01/10/2023]
Abstract
Background To compare the treatment effectiveness and safety among transarterial infusion chemotherapy (TAI) with FOLFOX regimen, transarterial chemoembolization (TACE), and sorafenib in patients with BCLC stage C hepatocellular carcinoma (HCC). Methods The data of consecutive patients with BCLC stage C HCC treated with TAI, TACE, or sorafenib from January 2015 to December 2018 at three centers were retrospectively analyzed. Propensity-score matched (PSM) analysis was pairwise performed to reduce selection bias. Treatment effectiveness and safety were evaluated and compared using the Kaplan-Meier method, log-rank test, Cox regression models, and χ2 test. Results The median overall survival (OS) in the matched TAI cohort was significantly longer than the sorafenib cohort (19.6 vs. 7.5 months, P=0.009), and the TACE cohort (estimated 27.8 vs. 6.6 months, P<0.001). The difference in median progression-free survival (PFS) between the matched TAI and sorafenib cohorts was not significant (5.8 vs. 2.3 months, P=0.219). The median PFS in the matched TAI cohort was significantly longer than the TACE cohort (6.5 vs. 2.8 months, P<0.001). The objective response rate (ORR) in the matched TAI cohort was significantly higher than the sorafenib cohort (36.4% vs. 0.0%, P<0.001) and the TACE cohort (48.7% vs. 4.7%, P<0.001). The incidences of adverse events (AEs) were similar among these three cohorts. Conclusions TAI with FOLFOX regimen was an effective and safe therapy that improved survival of patients with BCLC stage C HCC.
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Affiliation(s)
- Shaohua Li
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jie Mei
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qiaoxuan Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Feng Shi
- Department of Interventional Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hongyan Liu
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ming Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lianghe Lu
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yihong Ling
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhixing Guo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Ultrasound, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yabing Guo
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaoming Chen
- Department of Interventional Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ming Shi
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wan Yee Lau
- Faculty of Medicine, the Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Wei Wei
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Rongping Guo
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Mirdad RS, Madison Hyer J, Diaz A, Tsilimigras DI, Azap RA, Paro A, Pawlik TM. Postoperative imaging surveillance for hepatocellular carcinoma: How much is enough? J Surg Oncol 2021; 123:1568-1577. [PMID: 33596330 DOI: 10.1002/jso.26433] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/01/2021] [Accepted: 02/06/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND The objective of the current study was to define trends in postoperative surveillance imaging following liver-directed treatment of hepatocellular carcinoma (HCC), and characterize the impact of high-intensity surveillance on long-term survival. METHODS Patients who underwent liver- directed therapy for HCC between 2004 and 2016 were identified using the SEER-Medicare database. Trends in surveillance intensity over time, factors associated with high surveillance intensity and the impact of surveillance on long-term outcomes were examined. RESULTS Utilization of high-intensity surveillance abdominal imaging (≥6 scans over 2 years) following liver-directed therapy of HCC decreased over time (2004-2007: n = 130, 36.1% vs. 2008-2011: n = 181, 29.5% vs. 2012-2016: n = 111, 24.5%; ptrend < 0.001). History of chronic viral hepatitis (hepatitis B: odds ratio [OR], 1.98; 95% confidence interval [CI]: 1.15-3.43; hepatitis C: OR, 1.79; 95% CI: 1.32-2.43), presence of regional (vs. local-only) disease (OR, 1.47; 95% CI: 1.09-1.98) and receipt of transplantation (OR, 2.23; 95% CI: 1.57-3.17) were associated with higher odds of high intensity surveillance. Intensity of surveillance imaging was not associated with long-term survival (5-year overall survival: low-intensity, 48.1% vs. high-intensity, 48.9%; hazards ratio, 0.94; 95% CI: 0.78-1.13). CONCLUSION Utilization of posttreatment surveillance imaging decreased over time following liver-directed therapy for HCC. While utilization of high-intensity screening varied by HCC procedure performed, intensity of surveillance had no effect on survival.
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Affiliation(s)
| | - J Madison Hyer
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Adrian Diaz
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA.,Department of Surgery, National Clinician Scholars Program at the Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
| | - Diamantis I Tsilimigras
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Rosevine A Azap
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Alessandro Paro
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio, USA
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Guo C, Yao D, Lin X, Huang H, Zhang J, Lin F, Mou Y, Yang Q. External Validation of a Nomogram and Risk Grouping System for Predicting Individual Prognosis of Patients With Medulloblastoma. Front Pharmacol 2020; 11:590348. [PMID: 33343359 PMCID: PMC7748109 DOI: 10.3389/fphar.2020.590348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 09/28/2020] [Indexed: 12/18/2022] Open
Abstract
Background: Medulloblastoma (MB) is one of the most malignant neuroepithelial tumors in the central nervous system. This study aimed to establish an effective prognostic nomogram and risk grouping system for predicting overall survival (OS) of patients with MB. Materials and Methods: The nomogram was constructed based on data from the database of Surveillance, Epidemiology, and End Results (SEER). This database consisted of 2,824 patients with medulloblastoma and was used as the training cohort. The data of another additional 161 patients treated at the Sun Yat-sen University Cancer Center (SYSUCC) were used as the external validation cohort. Cox regression analysis was used to select independent prognostic factors. Concordance index (C-index) and calibration curve were used to predict the prognostic effect of the nomogram for overall survival. Results: In the training cohort, Cox regression analyses showed that the prognostic factors included histopathology, surgery, radiotherapy, chemotherapy, tumor size, dissemination, and age at diagnosis. The internal and external validated C-indexes were 0.681 and 0.644, respectively. Calibration curves showed that the nomogram was able to predict 1-, 3-, and 5-year OS for patients with MB precisely. Using the training cohort, a risk grouping system was built, which could perfectly classify patients into four risk nomogroups with a 5-year survival rate of 83.9%, 76.5%, 64.5%, and 46.8%, respectively. Conclusion: We built and validated a nomogram and risk grouping system that can provide individual prediction of OS and distinguish MB patients from different risk groups. This nomogram and risk grouping system could help clinicians making better treatment plan and prognostic assessment.
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Affiliation(s)
- Chengcheng Guo
- Department of Neurosurgery/Neuro-Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Dunchen Yao
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Xiaoping Lin
- epartment of Nuclear Medicine, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - He Huang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Ji Zhang
- Department of Neurosurgery/Neuro-Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Fuhua Lin
- Department of Neurosurgery/Neuro-Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Yonggao Mou
- Department of Neurosurgery/Neuro-Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Qunying Yang
- Department of Neurosurgery/Neuro-Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, China
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Zhou ZG, Chen JB, Zhang RX, Ye L, Wang JC, Pan YX, Wang XH, Li WX, Zhang YJ, Xu L, Chen MS. Tescalcin is an unfavorable prognosis factor that regulats cell proliferation and survival in hepatocellular carcinoma patients. Cancer Commun (Lond) 2020; 40:355-369. [PMID: 32609436 PMCID: PMC7427307 DOI: 10.1002/cac2.12069] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/28/2020] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
Background Hepatocellular carcinoma (HCC) is a major health problem and a primary cause of cancer‐related death worldwide. Although great advances have achieved recently by large‐scale high‐throughput analysis, the precise molecular mechanism underlying HCC progression remains to be clearly elucidated. We investigated the relationship between Tescalcin (TESC), a candidate oncogene, and clinicopathological features of HCC patients and explored the role of TECS in HCC development. Methods To identify new genes involved in HCC development, we analyzed The Cancer Genome Atlas liver cancer database, and TESC was selected for further investigation. HCC tissue microarray analysis for TESC and its association with clinicopathological features were performed to investigate its clinical significance. TESC was knocked down by using short‐hairpin RNAs. Cell proliferation was analyzed by WST‐1 assay and cell counting. Cell apoptosis was tested by fluorescence‐activated cell sorting. A subcutaneous xenograft tumor model in nude mice was established to determine the in vivo function of TESC. Affymetrix microarray was used to identify its molecular mechanism. Results TESC was significantly increased in HCC tissues compared with the adjacent normal liver tissues. High expression of TESC was detected in 61 of 172 HCC patients by tissue microarray. Large tumor (> 5 cm) and elevated total bilirubin were associated with high TESC expression (both P < 0.050). In multivariate analysis, TESC was identified as an independent prognostic factor for short overall survival of HCC patients. TESC knockdown impaired HCC cell growth in vitro and in vivo. TESC knockdown significantly increased cell apoptosis in HCC cell lines. Furthermore, Affymetrix microarray analysis revealed that TESC knockdown inhibited tumor proliferation‐related pathways while activated cell death‐related pathways. Conclusion TESC was identified as an independent prognostic factor for short overall survival of HCC patients, and was critical for HCC cell proliferation and survival.
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Affiliation(s)
- Zhong-Guo Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Jin-Bin Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Rong-Xin Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Colorectal Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Ling Ye
- Department of Oncology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, 510630, P. R. China
| | - Jun-Cheng Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Yang-Xun Pan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Xiao-Hui Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Wen-Xuan Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Yao-Jun Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Li Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Min-Shan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
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Mei J, Li SH, Wang QX, Lu LH, Ling YH, Zou JW, Lin WP, Wen YH, Wei W, Guo RP. Resection vs. Sorafenib for Hepatocellular Carcinoma With Macroscopic Vascular Invasion: A Real World, Propensity Score Matched Analytic Study. Front Oncol 2020; 10:573. [PMID: 32432036 PMCID: PMC7214621 DOI: 10.3389/fonc.2020.00573] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/30/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Macroscopic vascular invasion (MVI) commonly occurs in patients with advanced hepatocellular carcinoma (HCC) for which resection and sorafenib are the common therapies prescribed. Here, we aimed to compare the survival outcomes of these two therapies in HCC patients with MVI. Methods: In total, 496 patients diagnosed with HCC and MVI without extrahepatic metastasis, treated with resection (resection-based group, n = 388) and sorafenib (sorafenib-based group, n = 108) were included in this study. A one-to-one propensity score-matching analysis (PSM) was performed to minimize the effect of potential confounders. Results: The median OS in the resection- and sorafenib-based group was 20.7 months (95% CI: 16.9-24.5) and 11.6 months (95% CI: 8.4-14.9) (p < 0.001), respectively. The median PFS was 4.7 months (95% CI: 3.8-5.5) in the resection-based group and 4.4 months (95% CI: 3.6-5.2) in the sorafenib-based group (p < 0.001). After PSM, 72 patients from each group were matched. The median OS was 27.2 months (95% CI: 16.4-38.0) in the resection-based group and 13.0 months (95% CI: 9.6-16.3) in the sorafenib-based group (p < 0.001). The median PFS was 5.3 months (95% CI: 3.2-7.4) in the resection-based group and 4.8 months (95% CI: 3.6-6.0) in the sorafenib-based group (p = 0.061). Conclusion: Findings from this study showed that, compared with sorafenib-based treatment, surgical resection might be associated with better survival benefits to HCC patients with MVI.
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Affiliation(s)
- Jie Mei
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Shao-Hua Li
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qiao-Xuan Wang
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Liang-He Lu
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yi-Hong Ling
- State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing-Wen Zou
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wen-Ping Lin
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yu-Hua Wen
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wei Wei
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Rong-Ping Guo
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Liao Y, Wang C, Yang Z, Liu W, Yuan Y, Li K, Zhang Y, Wang Y, Shi Y, Qiu Y, Zuo D, He W, Qiu J, Guan X, Yuan Y, Li B. Dysregulated Sp1/miR-130b-3p/HOXA5 axis contributes to tumor angiogenesis and progression of hepatocellular carcinoma. Am J Cancer Res 2020; 10:5209-5224. [PMID: 32373208 PMCID: PMC7196310 DOI: 10.7150/thno.43640] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 03/07/2020] [Indexed: 12/11/2022] Open
Abstract
Angiogenesis, one of the hallmarks of cancer, is essential for both tumor growth and metastasis. However, its molecular mechanisms in hepatocellular carcinoma (HCC) are largely unknown. Here, we report the role of HOXA5 in tumor angiogenesis of HCC. Methods: The expression of miR-130b-3p and HOXA5 was determined by qRT-PCR and immunohistochemistry, respectively. Capillary tube formation assay, chicken chorioallantoic membrane assay, and subcutaneous xenograft experiments were performed to investigate the role of miR-130-3p and HOXA5. Luciferase reporter assay and chromatin immunoprecipitation assay were performed to evaluate the interaction between Sp1, miR-130b-3p and HOXA5. Results: miR-130b-3p was found up-regulated in HCC and correlated with a poor prognosis. miR-130b-3p promoted HCC angiogenesis both in vitro and in vivo. Mechanistically, HOXA5 was validated as a direct target of miR-130b-3p. Furthermore, we demonstrated that HOXA5 was down-regulated in HCC and its down-regulation was associated with larger tumor size, shorter overall survival, and higher recurrence probability. Moreover, HOXA5 was significantly associated with angiogenesis biomarkers such as CD31 and CD34. Functional studies revealed that the knockdown of HOXA5 also significantly promoted HCC angiogenesis both in vitro and in vivo. Knocking-down HOXA5 significantly provoked HCC cells to induce the capillary tube formation, migration and proliferation of endothelial cells. In xenograft animal models, we found that a decrease of HOXA5 effectively enhanced tumor growth and increased microvessel densities. We further demonstrated that miR-130b-3p could be directly transcriptionally regulated by Sp1. Conclusions: This study showed that a dysregulation in the Sp1/miR-130b-3p/HOXA5 axis contributed to HCC progression and angiogenesis, and that HOXA5 can be considered as a promising therapeutic target for treating HCC.
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Pan YX, Xi M, Fu YZ, Hu DD, Wang JC, Liu SL, Chen JB, Xu L, Zhou ZG, Liu MZ, Chen MS, Zhao L, Zhang YJ. Stereotactic Body Radiotherapy as a Salvage Therapy after Incomplete Radiofrequency Ablation for Hepatocellular Carcinoma: A Retrospective Propensity Score Matching Study. Cancers (Basel) 2019; 11:E1116. [PMID: 31387248 DOI: 10.3390/cancers11081116] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 07/19/2019] [Accepted: 07/23/2019] [Indexed: 12/12/2022] Open
Abstract
(1) Background: To investigate the clinical outcomes between radiofrequency ablation (RFA) and stereotactic body radiotherapy (SBRT) for residual hepatocellular carcinoma (RHCC). (2) Methods: 139 patients were diagnosed with the RHCC after post-operative checkup, among whom 39 and 33 patients underwent RFA or SBRT as salvage treatments, respectively. We applied the propensity score matching (PSM) to adjust for imbalances in treatment assignment. Local disease progression, progression-free survival (PFS), overall survival (OS), and treatment-related side effects were the study endpoints. (3) Results: Before PSM, the SBRT group demonstrated significantly lower local disease progression rate (6/33 vs. 23/39; p = 0.002), better PFS (the 1- and 3-year PFS were 63.3% and 49.3% vs. 41.5% and 22.3%, respectively, p = 0.036), and comparable OS (the 1- and 3-year OS were 85.4% and 71.1% vs. 97.3% and 57.6%, respectively, p = 0.680). After PSM of 23 matched cases, the SBRT group demonstrated significantly lower local disease progression rate, better PFS and comparable OS. Centrally located tumor predicted the worse OS. No acute grade 3+ toxicity was observed in both groups. (4) Conclusion: SBRT might be the preferred treatment for RHCC, especially for patients with larger tumors or tumors abutting major vessels, rather than repeated RFA.
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