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Payo-Serafín T, Méndez-Blanco C, Fernández-Palanca P, Martínez-Geijo J, Reviejo M, Ortiz-de-Urbina JJ, González-Gallego J, Marin JJG, Mauriz JL, San-Miguel B. Risk versus Benefit of Tyrosine Kinase Inhibitors for Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Clin Pharmacol Ther 2024; 116:328-345. [PMID: 38803056 DOI: 10.1002/cpt.3312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 05/06/2024] [Indexed: 05/29/2024]
Abstract
Although the treatment landscape has rapidly evolved over the last years, hepatocellular carcinoma (HCC) is one of the most lethal cancers. With recent advances, both immunotherapy and tyrosine kinase inhibitors (TKIs)-based chemotherapy constitute the standard treatment for advanced HCC. A systematic search of randomized clinical trials employing TKIs was performed in 17 databases, obtaining 25 studies evaluating the prognosis, tumor response, and presence of adverse events (AEs) related to TKIs in HCC. Overall effect sizes were estimated for the hazard ratios (HR) and odds ratios (OR) with 95% confidence interval (CI), either extracted or calculated with the Parmar method, employing STATA 16. Heterogeneity was assessed by Chi-square-based Q-test and inconsistency (I2) statistic; source of heterogeneity by meta-regression and subgroup analysis; and publication bias by funnel plot asymmetry and Egger's test. The research protocol was registered in PROSPERO (CRD42023397263). Meta-analysis revealed a correlation between survival and tumor response parameters and TKI treatment vs. placebo, despite detecting high heterogeneity. Combined TKI treatment showed a significantly better objective response rate (ORR) with no heterogeneity, whereas publication bias was only detected with time to progression (TTP). Few gastrointestinal and neurological disorders were associated with TKI treatment vs. placebo or with combined treatment. However, a higher number of serious AEs were related to TKI treatment vs. sorafenib alone. Results show positive clinical benefits from TKI treatment, supporting the approval and maintenance of TKI-based therapy for advanced HCC, while establishing appropriate strategies to maximize efficacy and minimize toxicity.
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Affiliation(s)
- Tania Payo-Serafín
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Carolina Méndez-Blanco
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Paula Fernández-Palanca
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Jennifer Martínez-Geijo
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - María Reviejo
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Experimental Hepatology and Drug Targeting (HEVEPHARM), IBSAL, University of Salamanca, Salamanca, Spain
| | - Juan José Ortiz-de-Urbina
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Pharmacy Service, Complejo Asistencial Universitario de León (CAULE), Hospital of León, León, Spain
| | - Javier González-Gallego
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose J G Marin
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
- Experimental Hepatology and Drug Targeting (HEVEPHARM), IBSAL, University of Salamanca, Salamanca, Spain
| | - José L Mauriz
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
| | - Beatriz San-Miguel
- Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
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Guo Y, Tian S, Zhan N, Liu C, Li J, Hu J, Qiu M, Huang B, Dong W. Ascitic microbiota alteration is associated with portal vein tumor thrombosis occurrence and prognosis in hepatocellular carcinoma. mBio 2024; 15:e0024524. [PMID: 38564690 PMCID: PMC11077998 DOI: 10.1128/mbio.00245-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Portal vein tumor thrombosis (PVTT) frequently leads to malignant ascites (MA) in individuals with hepatocellular carcinoma (HCC), remaining a bottleneck in the treatment. This study aimed to explore the differences in microbes in paired groups and provide novel insights into PVTT and MA-related treatments. Formalin-fixed paraffin embedding ascite samples were collected from MA secondary to HCC and benign ascites (BA) secondary to liver cirrhosis (LC). Ascitic microbiota profiles were determined in the HCC and LC groups by 16S rRNA sequencing. Prognostic risk factors were screened using survival analysis. The correlation between the significantly different microbial signatures in the groups with PVTT (WVT) and non-PVTT (NVT) and clinical characteristics was explored. The expression of different immune cells was determined by labeling four markers in the MA tissue chips using multiplex immunohistochemistry. A total of 240 patients (196 with HCC with MA and 44 with LC with BA) were included in this study. Microbial profiles differed between the HCC and LC groups. PVTT and Barcelona Clinic Liver Cancer stage were shown to be prognostic risk factors. Significant differences in the alpha and beta diversities were observed between the WVT and NVT groups. Gammaproteobacteria and Acinetobacter were the most abundant in the HCC MA. Differences in microbial signatures between the WVT and NVT groups were correlated with the level of C-reactive protein and apolipoprotein A1. This study revealed the microbial differences in the tumor microenvironment of MA secondary to HCC and BA secondary to LC.IMPORTANCEFirst, we explored the alteration of the ascites ecosystem through the microbiota in patients with hepatocellular carcinoma (HCC) and liver cirrhosis. Second, this is the first clinical study to investigate the differences between patients with HCC with and without portal vein tumor thrombosis via 16S rRNA sequencing. These results revealed a decreased microbial diversity and metabolic dysregulation in individuals with HCC and portal vein tumor thrombosis. Gammaproteobacteria and Acinetobacter were the most abundant in the HCC malignant ascitic fluid. Our study provides a new perspective on treating malignant ascites secondary to HCC.
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Affiliation(s)
- Yingyun Guo
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Shan Tian
- Department of Infectious Disease, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Na Zhan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Chuan Liu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jiao Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jiaming Hu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Meiqi Qiu
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Binglu Huang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weiguo Dong
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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Jiang H, Qin Y, Wei H, Zheng T, Yang T, Wu Y, Ding C, Chernyak V, Ronot M, Fowler KJ, Chen W, Bashir MR, Song B. Prognostic MRI features to predict postresection survivals for very early to intermediate stage hepatocellular carcinoma. Eur Radiol 2024; 34:3163-3182. [PMID: 37870624 PMCID: PMC11126450 DOI: 10.1007/s00330-023-10279-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 08/01/2023] [Accepted: 08/09/2023] [Indexed: 10/24/2023]
Abstract
OBJECTIVES Contrast-enhanced MRI can provide individualized prognostic information for hepatocellular carcinoma (HCC). We aimed to investigate the value of MRI features to predict early (≤ 2 years)/late (> 2 years) recurrence-free survival (E-RFS and L-RFS, respectively) and overall survival (OS). MATERIALS AND METHODS Consecutive adult patients at a tertiary academic center who received curative-intent liver resection for very early to intermediate stage HCC and underwent preoperative contrast-enhanced MRI were retrospectively enrolled from March 2011 to April 2021. Three masked radiologists independently assessed 54 MRI features. Uni- and multivariable Cox regression analyses were conducted to investigate the associations of imaging features with E-RFS, L-RFS, and OS. RESULTS This study included 600 patients (median age, 53 years; 526 men). During a median follow-up of 55.3 months, 51% of patients experienced recurrence (early recurrence: 66%; late recurrence: 34%), and 17% died. Tumor size, multiple tumors, rim arterial phase hyperenhancement, iron sparing in solid mass, tumor growth pattern, and gastroesophageal varices were associated with E-RFS and OS (largest p = .02). Nonperipheral washout (p = .006), markedly low apparent diffusion coefficient value (p = .02), intratumoral arteries (p = .01), and width of the main portal vein (p = .03) were associated with E-RFS but not with L-RFS or OS, while the VICT2 trait was specifically associated with OS (p = .02). Multiple tumors (p = .048) and radiologically-evident cirrhosis (p < .001) were the only predictors for L-RFS. CONCLUSION Twelve visually-assessed MRI features predicted postoperative E-RFS (≤ 2 years), L-RFS (> 2 years), and OS for very early to intermediate-stage HCCs. CLINICAL RELEVANCE STATEMENT The prognostic MRI features may help inform personalized surgical planning, neoadjuvant/adjuvant therapies, and postoperative surveillance, thus may be included in future prognostic models. KEY POINTS • Tumor size, multiple tumors, rim arterial phase hyperenhancement, iron sparing, tumor growth pattern, and gastroesophageal varices predicted both recurrence-free survival within 2 years and overall survival. • Nonperipheral washout, markedly low apparent diffusion coefficient value, intratumoral arteries, and width of the main portal vein specifically predicted recurrence-free survival within 2 years, while the VICT2 trait specifically predicted overall survival. • Multiple tumors and radiologically-evident cirrhosis were the only predictors for recurrence-free survival beyond 2 years.
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Affiliation(s)
- Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yun Qin
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Hong Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Tianying Zheng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ting Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yuanan Wu
- Department of Technology, JD.Com, Inc, Beijing, China
| | - Chengyu Ding
- Department of Technology, ShuKun (BeiJing) Technology Co., Ltd, Beijing, China
| | - Victoria Chernyak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Maxime Ronot
- Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France
| | - Kathryn J Fowler
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Weixia Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Mustafa R Bashir
- Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
- Department of Radiology, Sanya People's Hospital, Sanya, 572000, Hainan, China.
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Li Y, Gong B, Guo Y, Liu W, Chen C, Jiang S, Pan F, Song J, Yang L, Zhou G. Non-small cell lung cancer and immune checkpoint inhibitor therapy: does non-alcoholic fatty liver disease have an effect? BMC Cancer 2024; 24:535. [PMID: 38671373 PMCID: PMC11055283 DOI: 10.1186/s12885-024-12295-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Immunotherapy based on the application of immune checkpoint inhibitors (ICIs) is one of the standard treatments for advanced non-small cell lung cancer (NSCLC). Non-alcoholic fatty liver Disease (NAFLD) has demonstrated predictive value for response to immunotherapy in non-lung cancer types. Our study investigated the effect of NAFLD on the efficacy of real-life use of ICIs for patients with stage III / IV NSCLC. METHODS The clinical and imaging data of patients with stage III / IV NSCLC who were first admitted to Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2020 to July 2022 were retrospectively collected to ensure that they underwent at least one CT scan before treatment. A total of 479 patients were divided into the NAFLD group (Liver/Spleen density ratio ≤ 1) and the non-NAFLD group (Liver/Spleen density ratio > 1) by measuring the baseline liver and spleen CT value. The overall survival (OS), progression-free survival (PFS), objective response rate (ORR) and disease control rate (DCR) of the patients were obtained. RESULTS A total of 118 patients with NAFLD and 361 patients without NAFLD were included in the study. Patients with NAFLD tended to have higher BMI and higher total bilirubin compared to patients without NAFLD. The median duration of follow-up in the study was 22 m (IQR, 17-29 m). Both of 2 groups had a higher DCR (94% vs. 92%, p = 0.199) and ORR (38.1% vs. 44.9%, p = 0.452) respectively. There was no difference in efficacy between the two groups. In univariate analysis, NAFLD had no significant effect on PFS (p = 0.785) and OS (p = 0.851). Surprisingly, the presence of hypertension was observed to be associated with a higher OS (HR 1.471 95%CI 1.018-2.127, p = 0.040). Besides, based on multivariate analysis, lactic dehydrogenase was associated with PFS (HR 1.001 95%CI 1.000,1.002, p = 0.037) and OS (HR 1.002, 95%CI 1.001-1.003, p < 0.001). CONCLUSIONS Among patients with NSCLC, NAFLD did not result in changes in survival or disease progression after immune checkpoint inhibitor therapy.
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Affiliation(s)
- Yi Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Bingxin Gong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Yusheng Guo
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Weiwei Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Chao Chen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Shanshan Jiang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Feng Pan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Jiyu Song
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lian Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China.
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
| | - Guofeng Zhou
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277 Jiefang Avenue, Wuhan, 430022, China.
- Hubei Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
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Hoang TPT, Schindler P, Börner N, Masthoff M, Gerwing M, von Beauvais P, De Toni EN, Lange CM, Trebicka J, Morgül H, Seidensticker M, Ricke J, Pascher A, Guba M, Ingrisch M, Wildgruber M, Öcal O. Imaging-Derived Biomarkers Integrated with Clinical and Laboratory Values Predict Recurrence of Hepatocellular Carcinoma After Liver Transplantation. J Hepatocell Carcinoma 2023; 10:2277-2289. [PMID: 38143909 PMCID: PMC10740736 DOI: 10.2147/jhc.s431503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023] Open
Abstract
Purpose To investigate the prognostic value of computed tomography (CT) derived imaging biomarkers in hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) and develop a predictive nomogram model. Patients and Methods This retrospective study included 178 patients with histopathologically confirmed HCC who underwent liver transplantation between 2007 and 2021 at the two academic liver centers. We evaluated dedicated imaging features from baseline multiphase contrast-enhanced CT supplemented by several clinical findings and laboratory parameters. Time-to-recurrence was estimated by Kaplan-Meier analysis. Univariable Cox proportional hazard regression and multivariable Least Absolute Shrinkage and Selection Operator (LASSO) regression were used to assess independent prognostic factors for recurrence. A nomogram model was then built based on the independent factors selected through LASSO regression, to predict the probabilities of HCC recurrence at one, three, and five years. Results The rate of HCC recurrence after LT was 17.4% (31 of 178). The LASSO analysis revealed six independent predictors associated with an elevated risk of tumor recurrence. These predictors included the presence of peritumoral enhancement, the presence of over three tumor lesions, the largest tumor diameter greater than 3 cm, serum alpha-fetoprotein (AFP) levels exceeding 400 ng/mL, and the presence of a tumor capsule. Conversely, a history of bridging therapies was found to be correlated with a reduced risk of HCC recurrence. In addition, Kaplan-Meier curves showed patients with irregular margin, satellite nodules, or small lesions displayed shorter time-to-recurrence. Our nomogram demonstrated good performance, yielding a C-index of 0.835 and AUC values of 0.86, 0.88, and 0.85 for the predictions of 1-year, 3-year, and 5-year TTR, respectively. Conclusion Imaging parameters derived from baseline contrast-enhanced CT showing malignant behavior and aggressive growth patterns, along with serum AFP and history of bridging therapies, show potential as biomarkers for predicting HCC recurrence after transplantation.
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Affiliation(s)
| | - Philipp Schindler
- Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | - Nikolaus Börner
- Department of General, Visceral and Transplantation Surgery, University Hospital, LMU Munich, Munich, Germany
| | - Max Masthoff
- Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | - Mirjam Gerwing
- Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | | | - Enrico N De Toni
- Department for Internal Medicine II, University Hospital, LMU Munich, Munich, Germany
| | - Christian M Lange
- Department for Internal Medicine II, University Hospital, LMU Munich, Munich, Germany
| | - Jonel Trebicka
- Department for Internal Medicine B, Universitätsklinikum Münster, Münster, Germany
| | - Haluk Morgül
- Department of General, Visceral and Transplant Surgery, Universitätsklinikum Münster, Münster, Germany
| | - Max Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Andreas Pascher
- Department of General, Visceral and Transplant Surgery, Universitätsklinikum Münster, Münster, Germany
| | - Markus Guba
- Department of General, Visceral and Transplantation Surgery, University Hospital, LMU Munich, Munich, Germany
| | - Michael Ingrisch
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Osman Öcal
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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Kamal O, Horvat N, Arora S, Chaudhry H, Elmohr M, Khanna L, Nepal PS, Wungjramirun M, Nandwana SB, Shenoy-Bhangle AS, Lee J, Kielar A, Marks R, Elsayes K, Fung A. Understanding the role of radiologists in complex treatment decisions for patients with hepatocellular carcinoma. Abdom Radiol (NY) 2023; 48:3677-3687. [PMID: 37715846 PMCID: PMC11234513 DOI: 10.1007/s00261-023-04033-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/18/2023] [Accepted: 08/20/2023] [Indexed: 09/18/2023]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary malignant tumor of the liver and represents a significant global health burden. Management of HCC can be challenging due to multiple factors, including variable expectations for treatment outcomes. Several treatment options are available, each with specific eligibility and ineligibility criteria, and are provided by a multidisciplinary team of specialists. Radiologists should be aware of the types of treatment options available, as well as the criteria guiding the development of individualized treatment plans. This awareness enables radiologists to contribute effectively to patient-centered multidisciplinary tumor boards for HCC and play a central role in reassessing care plans when the treatment response is deemed inadequate. This comprehensive review aims to equip radiologists with an overview of HCC staging systems, treatment options, and eligibility criteria. The review also discusses the significance of imaging in HCC diagnosis, treatment planning, and monitoring treatment response. Furthermore, we highlight the crucial branch points in the treatment decision-making process that depend on radiological interpretation.
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Affiliation(s)
- Omar Kamal
- Department of Diagnostic Radiology, Oregon Health & Science University, Mail Code: L340, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
| | - Natally Horvat
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | | | | | - Manida Wungjramirun
- Department of Diagnostic Radiology, Oregon Health & Science University, Mail Code: L340, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
| | | | | | - James Lee
- University of Kentucky, Lexington, KY, USA
| | | | | | | | - Alice Fung
- Department of Diagnostic Radiology, Oregon Health & Science University, Mail Code: L340, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA
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7
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Öcal O, Schütte K, Malfertheiner P, Berg T, Loewe C, Klümpen HJ, Zech CJ, van Delden O, Ümütlü MR, Deniz S, Khaled NB, De Toni EN, Hoang TPT, Seidensticker R, Aghdassi A, Pech M, Ricke J, Seidensticker M. Prognostic value of baseline MRI features in patients treated with thermal ablation for hepatocellular carcinoma. Eur J Radiol 2023; 168:111120. [PMID: 37806190 DOI: 10.1016/j.ejrad.2023.111120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023]
Abstract
PURPOSE To investigate prognostic value of baseline MRI features for time-to-recurrence (TTR) and local recurrence in patients with early hepatocellular carcinoma (HCC). METHOD Baseline and follow-up images of 88 patients treated with thermal ablation followed by adjuvant sorafenib or matching placebo due to HCC within the phase II prospective randomized trial (SORAMIC) were included. Baseline MRI images were evaluated in terms of atypical enhancement (lack of wash-in or wash-out), lesion diameter, tumor capsule, peritumoral enhancement on arterial phase, intratumoral fat, irregular margin, satellite lesions, and peritumoral hypointensity on hepatobiliary phase. Prognostic value of these features for TTR and local recurrence were assessed with univariable and multivariable Cox proportional hazard models. RESULTS Recurrence at any location was diagnosed during follow-up in 30 patients, and the median TTR was 16.4 (95% CI, 15 - NA) months. The presence of more than one lesion (p = 0.028) and peritumoral hypointensity on hepatobiliary phase images (p = 0.012) at baseline were significantly associated with shorter TTR in univariable analysis. AFP > 15 mg/dL (p = 0.084), and history of cirrhosis (p = 0.099) were marginally non-significant. Peritumoral hypointensity on hepatobiliary phase images was the only significant risk factor for recurrence in multivariable analysis (p = 0.003). Local recurrence (adjacent to thermal scar) was diagnosed in eleven (8.3%) out of 132 lesions that underwent thermal ablation. The only significant risk factor for local recurrence was a lesion diameter larger than 3 cm (22.2% vs. 4.5%, p = 0.007). CONCLUSIONS Peritumoral hypointensity on hepatobiliary phase can serve as imaging biomarker to identify increased recurrence risk in patients undergoing thermal ablation for early-stage HCC.
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Affiliation(s)
- Osman Öcal
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Kerstin Schütte
- Department of Internal Medicine and Gastroenterology, Niels-Stensen-Kliniken Marienhospital, Osnabrück, Germany
| | | | - Thomas Berg
- Klinik und Poliklinik für Gastroenterologie, Sektion Hepatologie, Universitätsklinikum Leipzig, Germany
| | - Christian Loewe
- Section of Cardiovascular and Interventional Radiology, Department of Bioimaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Heinz Josef Klümpen
- Department of Medical Oncology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Christoph Johannes Zech
- Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Otto van Delden
- Department of Radiology and Nuclear Medicine, Academic University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Sinan Deniz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Najib Ben Khaled
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany
| | | | | | | | - Ali Aghdassi
- Department of Medicine A, University Medicine Greifswald, 17489 Greifswald, Germany
| | - Maciej Pech
- Departments of Radiology and Nuclear Medicine, University of Magdeburg, Magdeburg, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Max Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
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Wei H, Fu F, Jiang H, Wu Y, Qin Y, Wei H, Yang T, Wang M, Song B. Development and validation of the OSASH score to predict overall survival of hepatocellular carcinoma after surgical resection: a dual-institutional study. Eur Radiol 2023; 33:7631-7645. [PMID: 37191923 PMCID: PMC10598081 DOI: 10.1007/s00330-023-09725-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 02/17/2023] [Accepted: 03/26/2023] [Indexed: 05/17/2023]
Abstract
OBJECTIVE To develop and validate a risk score based on preoperative clinical-radiological parameters for predicting overall survival (OS) in patients undergoing surgical resection for hepatocellular carcinoma (HCC). METHODS From July 2010 to December 2021, consecutive patients with surgically-proven HCC who underwent preoperative contrast-enhanced MRI were retrospectively enrolled. A preoperative OS risk score was constructed in the training cohort using a Cox regression model and validated in a propensity score-matched internal validation cohort and an external validation cohort. RESULTS A total of 520 patients were enrolled, among whom 210, 210, and 100 patients were from the training, internal validation, and external validation cohorts, respectively. Independent predictors for OS included incomplete tumor "capsule," mosaic architecture, tumor multiplicity, and serum alpha-fetoprotein, which were incorporated into the "OSASH score." The C-index the OSASH score was 0.85, 0.81, and 0.62 in the training, internal, and external validation cohorts, respectively. Using 32 as the cutoff point, the OSASH score stratified patients into prognostically distinct low- and high-risk groups among all study cohorts and six subgroups (all p < 0.05). Furthermore, patients with BCLC stage B-C HCC and OSASH-low risk achieved comparable OS to that of patients with BCLC stage 0-A HCC and OSASH-high risk in the internal validation cohort (5-year OS rates, 74.7 vs. 77.8%; p = 0.964). CONCLUSION The OSASH score may help predict OS in HCC patients undergoing hepatectomy and identify potential surgical candidates among those with BCLC stage B-C HCC. CLINICAL RELEVANCE STATEMENT By incorporating three preoperative MRI features and serum AFP, the OSASH score may help predict postsurgical overall survival in patients with hepatocellular carcinoma and identify potential surgical candidates among those with BCLC stage B and C HCC. KEY POINTS • The OSASH score incorporating three MRI features and serum AFP can be used to predict OS in HCC patients who received curative-intent hepatectomy. • The score stratified patients into prognostically distinct low- and high-risk strata in all study cohorts and six subgroups. • Among patients with BCLC stage B and C HCC, the score identified a subgroup of low-risk patients who achieved favorable outcomes after surgery.
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Affiliation(s)
- Hong Wei
- Department of Radiology, West China Hospital, Sichuan University, No. 37, GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Fangfang Fu
- Department of Medical Imaging, Henan Provincial People's Hospital, No. 7, WEIWU Road, Zhengzhou, 450003, Henan, China
- Department of Medical Imaging, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Yuanan Wu
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yun Qin
- Department of Radiology, West China Hospital, Sichuan University, No. 37, GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Huanhuan Wei
- Academy of Medical Sciences, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ting Yang
- Department of Radiology, West China Hospital, Sichuan University, No. 37, GUOXUE Alley, Chengdu, 610041, Sichuan, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital, No. 7, WEIWU Road, Zhengzhou, 450003, Henan, China.
- Department of Medical Imaging, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No. 37, GUOXUE Alley, Chengdu, 610041, Sichuan, China.
- Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China.
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Feng Y, Zhang H, Ren Q, Li C, Liu S, Zheng C, Xia X. Contrast-enhanced CT parameters predict short-term tumor response in patients with hepatocellular carcinoma who received sequential combined anti-angiogenesis and immune checkpoint inhibitor treatment. Eur J Radiol 2023; 162:110784. [PMID: 36958125 DOI: 10.1016/j.ejrad.2023.110784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 03/06/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE To evaluate whether relative Hounsfield unit attenuation index (rHUAI) on contrast-enhanced computed tomography (CECT) can predict tumor response in advanced hepatocellular carcinoma (HCC) patients who received sequential combined treatment of immune checkpoint inhibitor (ICI) and anti-angiogenesis therapy. METHOD One hundred seventeen advanced HCC patients who underwent the sequential combined treatment in a tertiary hospital between March 2020 and December 2021 were allocated to prediction and validation cohorts (with a ratio of 2:1) based on the time of initial ICI treatment. rHUAI from the arterial to the portal-venous phase (rHU_ap) and from the portal-venous to the delayed phase (rHU_pd) was calculated. The optimal cut-off values (COVs) of rHU_ap and rHU_pd for predicting tumor response were identified using Youden's index. Univariate and multivariable analyses were performed to assess the relationship between the COVs and tumor response. The validity of COVs was verified in the validation cohort using the chi-square test and Cramer's V coefficient (V). RESULTS The optimal COVs of the two observers were 0.5316 and 0.3265 for rHU_ap, and -0.0208 and -0.0048 for rHU_pd, respectively. Multivariable analysis suggested that the COVs were independently associated with tumor response in the prediction cohort (rHU_ap, Odds ratio: 7.727 and 7.808, 95 % CI: 2.516-23.728 and 2.399-25.410, p value < 0.001 and 0.001; rHU_pd, Odds ratio: 0.034 and 0.011, 95 % CI: 0.002-0.600 and 0.001-0.209, p value of 0.021 and 0.003). In the validation cohort, the optimal COVs of rHU_ap had a moderate to a strong association with tumor response (V = 0.362-0.545, p < 0.05). The association between COVs of rHU_pd and tumor response was slight to strong (V = 0.24-0.545, p = 0.001 to 0.134). CONCLUSION rHUAI obtained from CECT has the potential as a non-invasive tool for predicting tumor response in advanced HCC patients who have received combined ICI and anti-angiogenesis treatment.
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Affiliation(s)
- Yiming Feng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Hui Zhang
- Department of Internal Medicine, Wuhan Hankou Hospital, 172 Zhaojiatiao Road, Wuhan City, Hubei Province 430011, China
| | - Qianqian Ren
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Changde Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Song Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Xiangwen Xia
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China.
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Bai JW, Qiu SQ, Zhang GJ. Molecular and functional imaging in cancer-targeted therapy: current applications and future directions. Signal Transduct Target Ther 2023; 8:89. [PMID: 36849435 PMCID: PMC9971190 DOI: 10.1038/s41392-023-01366-y] [Citation(s) in RCA: 34] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 01/19/2023] [Accepted: 02/14/2023] [Indexed: 03/01/2023] Open
Abstract
Targeted anticancer drugs block cancer cell growth by interfering with specific signaling pathways vital to carcinogenesis and tumor growth rather than harming all rapidly dividing cells as in cytotoxic chemotherapy. The Response Evaluation Criteria in Solid Tumor (RECIST) system has been used to assess tumor response to therapy via changes in the size of target lesions as measured by calipers, conventional anatomically based imaging modalities such as computed tomography (CT), and magnetic resonance imaging (MRI), and other imaging methods. However, RECIST is sometimes inaccurate in assessing the efficacy of targeted therapy drugs because of the poor correlation between tumor size and treatment-induced tumor necrosis or shrinkage. This approach might also result in delayed identification of response when the therapy does confer a reduction in tumor size. Innovative molecular imaging techniques have rapidly gained importance in the dawning era of targeted therapy as they can visualize, characterize, and quantify biological processes at the cellular, subcellular, or even molecular level rather than at the anatomical level. This review summarizes different targeted cell signaling pathways, various molecular imaging techniques, and developed probes. Moreover, the application of molecular imaging for evaluating treatment response and related clinical outcome is also systematically outlined. In the future, more attention should be paid to promoting the clinical translation of molecular imaging in evaluating the sensitivity to targeted therapy with biocompatible probes. In particular, multimodal imaging technologies incorporating advanced artificial intelligence should be developed to comprehensively and accurately assess cancer-targeted therapy, in addition to RECIST-based methods.
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Affiliation(s)
- Jing-Wen Bai
- Fujian Key Laboratory of Precision Diagnosis and Treatment in Breast Cancer, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Xiamen Key Laboratory of Endocrine-Related Cancer Precision Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Xiamen Research Center of Clinical Medicine in Breast and Thyroid Cancers, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Department of Breast-Thyroid-Surgery and Cancer Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Department of Medical Oncology, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Cancer Research Center of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
| | - Si-Qi Qiu
- Diagnosis and Treatment Center of Breast Diseases, Clinical Research Center, Shantou Central Hospital, 515041, Shantou, China
- Guangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Shantou University Medical College, 515041, Shantou, China
| | - Guo-Jun Zhang
- Fujian Key Laboratory of Precision Diagnosis and Treatment in Breast Cancer, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Xiamen Key Laboratory of Endocrine-Related Cancer Precision Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Xiamen Research Center of Clinical Medicine in Breast and Thyroid Cancers, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Department of Breast-Thyroid-Surgery and Cancer Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Cancer Research Center of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
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Jiang H, Wei H, Yang T, Qin Y, Wu Y, Chen W, Shi Y, Ronot M, Bashir MR, Song B. VICT2 Trait: Prognostic Alternative to Peritumoral Hepatobiliary Phase Hypointensity in HCC. Radiology 2023; 307:e221835. [PMID: 36786702 DOI: 10.1148/radiol.221835] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Background Peritumoral hepatobiliary phase (HBP) hypointensity is an established prognostic imaging feature in hepatocellular carcinoma (HCC), often associated with microvascular invasion (MVI). Similar prognostic features are needed for non-HBP MRI. Purpose To propose a non-hepatobiliary-specific MRI tool with similar prognostic value to peritumoral HBP hypointensity. Materials and Methods From December 2011 to November 2021, consecutive patients with HCC who underwent preoperative contrast-enhanced MRI were retrospectively enrolled and followed up until recurrence. All MRI scans were reviewed by two blinded radiologists with 7 and 10 years of experiences with liver MRI. A scoring system based on non-hepatobiliary-specific features that highly correlated with peritumoral HBP hypointensity was identified in a stratified sampling-derived training set of the gadoxetate disodium (EOB) group by means of multivariable logistic regression, and its values to predict MVI and recurrence-free survival (RFS) were assessed. Results There were 660 patients (551 men; median age, 53 years; IQR, 45-61 years) enrolled. Peritumoral portal venous phase hypoenhancement (odds ratio [OR] = 8.8), incomplete "capsule" (OR = 3.3), corona enhancement (OR, 2.6), and peritumoral mild-moderate T2 hyperintensity (OR, 2.2) (all P < .001) were associated with peritumoral HBP hypointensity and constituted the "VICT2 trait" (test set area under the receiver operating characteristic curve = 0.84; 95% CI: 0.78, 0.90). For the EOB group, both peritumoral HBP hypointensity (OR for MVI = 2.5, P = .02; hazard ratio for RFS = 2.5, P < .001) and the VICT2 trait (OR for MVI = 5.1, P < .001; hazard ratio for RFS = 2.3, P < .001) were associated with MVI and RFS, despite a higher specificity of the VICT2 trait for MVI (89% vs 80%, P = .01). These values of the VICT2 trait were confirmed in the extracellular contrast agent group (OR for MVI = 4.0; hazard ratio for RFS = 1.7; both P < .001). Conclusion Based on four non-hepatobiliary-specific MRI features, the VICT2 trait was comparable to peritumoral hepatobiliary phase hypointensity in predicting microvascular invasion and postoperative recurrence of hepatocellular carcinoma. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Harmath in this issue.
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Affiliation(s)
- Hanyu Jiang
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Hong Wei
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Ting Yang
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Yun Qin
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Yuanan Wu
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Weixia Chen
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Yujun Shi
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Maxime Ronot
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Mustafa R Bashir
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
| | - Bin Song
- From the Department of Radiology (H.J., H.W., T.Y., Y.Q., W.C., B.S.) and Laboratory of Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC (Y.S.), West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China (Y.W.); Université Paris Cité, UMR 1149, CRI, Paris & Service de Radiologie, Hôpital Beaujon, APHP.Nord, Clichy, France (M.R.); Department of Radiology, Center for Advanced Magnetic Resonance in Medicine, and Division of Gastroenterology, Department of Medicine, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, Sanya People's Hospital, Sanya, China (B.S.)
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Sun SW, Xu X, Liu QP, Chen JN, Zhu FP, Liu XS, Zhang YD, Wang J. LiSNet: An artificial intelligence -based tool for liver imaging staging of hepatocellular carcinoma aggressiveness. Med Phys 2022; 49:6903-6913. [PMID: 36134900 DOI: 10.1002/mp.15972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 08/01/2022] [Accepted: 08/30/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Presurgical assessment of hepatocellular carcinoma (HCC) aggressiveness can benefit patients' treatment options and prognosis. PURPOSE To develop an artificial intelligence (AI) tool, namely, LiSNet, in the task of scoring and interpreting HCC aggressiveness with computed tomography (CT) imaging. METHODS A total of 358 patients with HCC undergoing curative liver resection were retrospectively included. Three subspecialists were recruited to pixel-wise annotate and grade tumor aggressiveness based on CT imaging. LiSNet was trained and validated in 193 and 61 patients with a deep neural network to emulate the diagnostic acumen of subspecialists for staging HCC. The test set comprised 104 independent patients. We subsequently compared LiSNet with an experience-based binary diagnosis scheme and human-AI partnership that combined binary diagnosis and LiSNet for assessing tumor aggressiveness. We also assessed the efficiency of LiSNet for predicting survival outcomes. RESULTS At the pixel-wise level, the agreement rate of LiSNet with subspecialists was 0.658 (95% confidence interval [CI]: 0.490-0.779), 0.595 (95% CI: 0.406-0.734), and 0.369 (95% CI: 0.134-0.566), for scoring HCC aggressiveness grades I, II, and III, respectively. Additionally, LiSNet was comparable to subspecialists for predicting histopathological microvascular invasion (area under the curve: LiSNet: 0.668 [95% CI: 0.559-0.776] versus subspecialists: 0.699 [95% CI: 0.591-0.806], p > 0.05). In a human-AI partnered diagnosis, combining LiSNet and experience-based binary diagnosis can achieve the best predictive ability for microvascular invasion (area under the curve: 0.705 [95% CI: 0.589-0.820]). Furthermore, LiSNet was able to indicate overall survival after surgery. CONCLUSION The designed LiSNet tool warrants evaluation as an alternative tool for radiologists to conduct automatic staging of HCC aggressiveness at the pixel-wise level with CT imaging. Its prognostic value might benefit patients' treatment options and survival prediction.
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Affiliation(s)
- Shu Wen Sun
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xun Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Qiu Ping Liu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Jie Neng Chen
- The College of Electronics and Information Engineering, Tongji University, Shanghai, China
| | - Fei Peng Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xi Sheng Liu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Yu Dong Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Jie Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
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Wei H, Yang T, Chen J, Duan T, Jiang H, Song B. Prognostic implications of CT/MRI LI-RADS in hepatocellular carcinoma: State of the art and future directions. Liver Int 2022; 42:2131-2144. [PMID: 35808845 DOI: 10.1111/liv.15362] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 06/13/2022] [Accepted: 07/05/2022] [Indexed: 02/05/2023]
Abstract
Hepatocellular carcinoma (HCC) is the fourth most lethal malignancy with an increasing incidence worldwide. Management of HCC has followed several clinical staging systems that rely on tumour morphologic characteristics and clinical variables. However, these algorithms are unlikely to profile the full landscape of tumour aggressiveness and allow accurate prognosis stratification. Noninvasive imaging biomarkers on computed tomography (CT) or magnetic resonance imaging (MRI) exhibit a promising prospect to refine the prognostication of HCC. The Liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for standardizing the terminology, techniques, interpretation, reporting and data collection of liver imaging. At present, it has been widely accepted as an effective diagnostic system for HCC in at-risk patients. Emerging data have provided new insights into the potential of CT/MRI LI-RADS in HCC prognostication, which may help refine the prognostic paradigm of HCC that promises to direct individualized management and improve patient outcomes. Therefore, this review aims to summarize several prognostic imaging features at CT/MRI for patients with HCC; the available evidence regarding the use of LI-RDAS for evaluation of tumour biology and clinical outcomes, pitfalls of current literature, and future directions for LI-RADS in the management of HCC.
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Affiliation(s)
- Hong Wei
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Duan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, Sanya People's Hospital, Sanya, China
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Prognostic Role of Molecular and Imaging Biomarkers for Predicting Advanced Hepatocellular Carcinoma Treatment Efficacy. Cancers (Basel) 2022; 14:cancers14194647. [PMID: 36230569 PMCID: PMC9564154 DOI: 10.3390/cancers14194647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Molecular biomarkers play a marginal role in clinical practice for hepatocellular carcinoma (HCC) diagnosis, surveillance and treatment monitoring. Radiological biomarker: alpha-fetoprotein is still a lone protagonist in this field. The potential role of molecular biomarkers in the assessment of prognosis and treatment results could reduce the health costs faced by standard radiology. The majority of efforts are oriented towards early HCC detection, but the field faces an important challenge to find adequate biomarkers for advanced HCC management. Abstract Hepatocellular carcinoma (HCC) is the sixth most common malignancy worldwide and the fourth cause of tumor-related death. Imaging biomarkers are based on computed tomography, magnetic resonance, and contrast-enhanced ultrasound, and are widely applied in HCC diagnosis and treatment monitoring. Unfortunately, in the field of molecular biomarkers, alpha-fetoprotein (AFP) is still the only recognized tool for HCC surveillance in both diagnostic and follow-up purposes. Other molecular biomarkers have little roles in clinical practice regarding HCC, mainly for the detection of early-stage HCC, monitoring the response to treatments and analyzing tumor prognosis. In the last decades no important improvements have been achieved in this field and imaging biomarkers maintain the primacy in HCC diagnosis and follow-up. Despite the still inconsistent role of molecular biomarkers in surveillance and early HCC detection, they could play an outstanding role in prognosis estimation and treatment monitoring with a potential reduction in health costs faced by standard radiology. An important challenge resides in identifying sufficiently sensitive and specific biomarkers for advanced HCC for prognostic evaluation and detection of tumor progression, overcoming imaging biomarker sensitivity. The aim of this review is to analyze the current molecular and imaging biomarkers in advanced HCC.
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Awiwi MO, Elsayes KM, Mohamed YI, Altameemi L, Gjoni M, Irshad OM, Sayed Ahmed A, Kaseb AO, Salem U. The Prognostic Value of Baseline Clinical and Radiologic Imaging Features in Patients with Unresectable Hepatocellular Carcinoma Treated with Atezolizumab Plus Bevacizumab. J Hepatocell Carcinoma 2022; 9:913-927. [PMID: 36065424 PMCID: PMC9440709 DOI: 10.2147/jhc.s379428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022] Open
Abstract
Purpose To identify prognostic clinical and radiologic features in patients with unresectable hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab. Patients and Methods Clinical and imaging records of patients with unresectable HCC were retrospectively reviewed, and baseline features were recorded. Patients’ records and imaging studies were used to determine the patients’ overall survival (OS) and progression-free survival (PFS). Univariate and multivariate analyses were performed to determine prognostic features. Subanalyses of treatment-naïve patients (who never received local or systemic therapy) and previously treated patients were also performed. Results Fifty-five patients were included in the final analysis, 23 (41.8%) of whom were treatment naïve. The median PFS and OS for the entire cohort were 3.0 months and 7.9 months. The 3-, 6- and 12-month OS rates were 85.5%, 79.8% and 45.7%, respectively. The 3-, 6- and 12-month PFS rates were 50.1%, 41.2% and 20.1%, respectively. On multivariate analysis, independent prognostic features for poor PFS of the entire cohort were pleural effusions (p = 0.047, HR: 6.3; CI: 1.03–38.90) and hepatic vein tumor thrombus (p = 0.005; HR: 23.37; CI: 2.63–207.67); independent prognostic features for poor OS were ascites (p = 0.008; HR: 37.37; CI: 2.53–467.64), pleural effusion (p = 0.003; HR: 110.17; CI: 5.00–2426.54), and low (<40HU) pre-contrast attenuation on CT images (p = 0.007; HR: 0.09; CI: 0.02–0.53). On subanalysis of treatment-naïve patients, the median OS and PFS were 7.4 months and 2.8 months, respectively. The 3-, 6- and 12-month PFS rates were 43.5%, 38.6% and 24.8%, respectively. Pleural effusion was the only independent poor prognostic feature (p = 0.036; HR: 206.34; CI: 1.41–30,167.58). Conclusion Independent prognostic features for survival outcomes include the presence of ascites, pleural effusions, hepatic vein tumor thrombus, and HCC with low attenuation (<40 HU) on unenhanced CT images. Although several biochemical variables were significant on univariate analysis, none were independent predictors of OS or PFS.
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Affiliation(s)
- Muhammad O Awiwi
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khaled M Elsayes
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Correspondence: Khaled M Elsayes, 1515 Holcombe Blvd, Houston, TX, 77030, USA, Tel +1 877 632-6789, Fax +1 713 794-4535, Email
| | - Yehia I Mohamed
- Department of Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lina Altameemi
- Department of Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Migena Gjoni
- Department of Internal Medicine, The of Istanbul-Cerrahpasa Hospital, Istanbul, Turkey
| | | | - Ahmed Sayed Ahmed
- Department of Gastroenterology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ahmad O Kaseb
- Department of Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Usama Salem
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Zhang S, Jiang M, Cao H, Xiong J, Xu J. CTB-193M12.5 Promotes Hepatocellular Carcinoma Progression via Enhancing NSD1-Mediated WNT10B/Wnt/β-Catenin Signaling Activation. J Hepatocell Carcinoma 2022; 9:553-569. [PMID: 35698644 PMCID: PMC9188405 DOI: 10.2147/jhc.s365302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 05/26/2022] [Indexed: 11/23/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Shuhua Zhang
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China
| | - Mi Jiang
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China
| | - Huan Cao
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China
| | - Jun Xiong
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China
| | - Jianqun Xu
- Department of Respiratory Medicine, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China
- Correspondence: Jianqun Xu, Department of Respiratory Medicine, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China, Email
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Wu L, Shi S, Sun H, Zhang H. Tumor Size Is an Independent Prognostic Factor for Stage I Ovarian Clear Cell Carcinoma: A Large Retrospective Cohort Study of 1,000 Patients. Front Oncol 2022; 12:862944. [PMID: 35651798 PMCID: PMC9149085 DOI: 10.3389/fonc.2022.862944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The aim of this study was to investigate the prognostic value and stratification cutoff point for tumor size in stage I ovarian clear cell carcinoma (OCCC). Methods This was a retrospective cohort study using the Surveillance, Epidemiology, and End Results database (version: SEER 8.3.9). Patients diagnosed with stage I OCCC from 1988 to 2018 were included for further analysis. X-Tile software was used to identify the potential cutoff point for tumor size. Stratification analysis, propensity score matching, and inverse probability weighting analysis were used to balance the potential confounding factors. Results A total of 1,000 stage I OCCC patients were included. Of these 1,000 patients, median follow-up was 106 months (95% confidence interval [CI]: 89-112 months). Multivariate analysis showed that tumor size, age at diagnosis, and stage IC were significantly associated with stage I OCCC patients. Eight centimeters is a promising cutoff point that can divide stage I OCCC patients into a good or a poor prognosis group. After controlling potential confounding factors with propensity score matching and inverse probability weighting, we demonstrated that stage I OCCC patients with tumor size ≤ 8 cm enjoyed a significantly better 5-year overall survival (OS, 89.8% vs. 81%, p < 0.0001). Tumor size ≤ 8 cm was an independent prognostic factor of stage I OCCC patients (hazard ratio [HR] 0.5608, 95% CI: 0.4126-0.7622, p = 0.0002). Conclusions Tumor size is an independent prognostic factor for stage I OCCC, and 8 cm is a promising cutoff point for tumor size for risk stratification. However, using tumor size in the stratification management of stage I OCCC patients warrants further investigation.
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Affiliation(s)
| | | | - Hong Sun
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Haiyan Zhang
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
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Zhang S, Xu J, Cao H, Jiang M, Xiong J. KB-68A7.1 Inhibits Hepatocellular Carcinoma Development Through Binding to NSD1 and Suppressing Wnt/β-Catenin Signalling. Front Oncol 2022; 11:808291. [PMID: 35127520 PMCID: PMC8810504 DOI: 10.3389/fonc.2021.808291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most lethal malignancies with extremely poor prognosis. Therefore, revealing the critical molecules involved in HCC progression and prognosis is urgently needed. In this study, through combining public dataset and our cohort, we found a novel prognosis-related long non-coding RNA KB-68A7.1 in HCC. KB-68A7.1 was lowly expressed in HCC, whose low expression was associated with large tumour size, aggressive clinical characteristic, and poor survival. Gain- and loss-of-function assays demonstrated that KB-68A7.1 restricted HCC cellular proliferation, induced HCC cellular apoptosis, and suppressed HCC cellular migration and invasion in vitro. Xenograft assays demonstrated that KB-68A7.1 suppressed HCC tumour growth and metastasis in vivo. These functional assays suggested KB-68A7.1 as a tumour suppressor in HCC. Histone methyltransferase nuclear receptor binding SET domain-containing protein 1 (NSD1) was found to bind to KB-68A7.1. KB-68A7.1 was mainly distributed in the cytoplasm. The binding of KB-68A7.1 to NSD1 sequestrated NSD1 in the cytoplasm, leading to the reduction in nuclear NSD1 level. Through decreasing nuclear NSD1 level, KB-68A7.1 reduced di-methylation of histone H3 at lysine 36 (H3K36me2) and increased tri-methylation of histone H3 at lysine 27 (H3K27me3) at the promoter of WNT10B, a target of NSD1. Thus, KB-68A7.1 repressed WNT10B transcription. The expression of WNT10B was negatively correlated with that of KB-68A7.1 in HCC tissues. Through repressing WNT10B, KB-68A7.1 further repressed Wnt/β-catenin signalling. Functional rescue assays showed that overexpression of WNT10B reversed the tumour-suppressive roles of KB-68A7.1, whereas the oncogenic roles of KB-68A7.1 depletion were abolished by Wnt/β-catenin signalling inhibitor. Overall, this study identified KB-68A7.1 as a lowly expressed and prognosis-related lncRNA in HCC, which suppressed HCC progression through binding to NSD1 and repressing Wnt/β-catenin signalling.
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Affiliation(s)
- Shuhua Zhang
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianqun Xu
- Department of Respiratory Medicine, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
- *Correspondence: Jianqun Xu,
| | - Huan Cao
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mi Jiang
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Xiong
- Department of Hepatobiliary Surgery of General Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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