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VanSant-Webb C, Low HK, Kuramoto J, Stanley CE, Qiang H, Su AY, Ross AN, Cooper CG, Cox JE, Summers SA, Evason KJ, Ducker GS. Phospholipid isotope tracing suggests β-catenin-driven suppression of phosphatidylcholine metabolism in hepatocellular carcinoma. Biochim Biophys Acta Mol Cell Biol Lipids 2024; 1869:159514. [PMID: 38795827 DOI: 10.1016/j.bbalip.2024.159514] [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: 10/27/2023] [Revised: 05/08/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024]
Abstract
Activating mutations in the CTNNB1 gene encoding β-catenin are among the most frequently observed oncogenic alterations in hepatocellular carcinoma (HCC). Profound alterations in lipid metabolism, including increases in fatty acid oxidation and transformation of the phospholipidome, occur in HCC with CTNNB1 mutations, but it is unclear what mechanisms give rise to these changes. We employed untargeted lipidomics and targeted isotope tracing to measure phospholipid synthesis activity in an inducible human liver cell line expressing mutant β-catenin, as well as in transgenic zebrafish with activated β-catenin-driven HCC. In both models, activated β-catenin expression was associated with large changes in the lipidome including conserved increases in acylcarnitines and ceramides and decreases in triglycerides. Lipid isotope tracing analysis in human cells revealed a reduction in phosphatidylcholine (PC) production rates as assayed by choline incorporation. We developed lipid isotope tracing analysis for zebrafish tumors and observed reductions in phosphatidylcholine synthesis by both the CDP-choline and PEMT pathways. The observed changes in the β-catenin-driven HCC phospholipidome suggest that zebrafish can recapitulate conserved features of HCC lipid metabolism and may serve as a model for identifying future HCC-specific lipid metabolic targets.
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Affiliation(s)
- Chad VanSant-Webb
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Hayden K Low
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Junko Kuramoto
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Pathology, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Claire E Stanley
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Hantao Qiang
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Audrey Y Su
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Alexis N Ross
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Chad G Cooper
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - James E Cox
- Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Scott A Summers
- Department of Nutrition and Integrative Physiology, University of Utah College of Health, Salt Lake City, UT 84112, USA
| | - Kimberley J Evason
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
| | - Gregory S Ducker
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA; Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
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Procopio F, Branciforte B, Galvanin J, Costa G, Franchi E, Cimino M, Torzilli G. Anatomical liver resection using the ultrasound-guided compression technique in minimal access surgery. Surg Endosc 2024; 38:193-201. [PMID: 37957299 DOI: 10.1007/s00464-023-10523-x] [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: 04/14/2023] [Accepted: 10/08/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND Segmental or subsegmental anatomical resection (AR) of hepatocellular carcinoma (HCC) in minimal access liver surgery (MALS) has been technically proposed. The Glissonean approach or dye injection technique are generally adopted. The tumor-feeding portal pedicle compression technique (C-AR) is an established approach in open surgery, but its feasibility in the MALS environment has never been described. METHODS Eligible patients were prospectively enrolled to undergo laparoscopic or robotic ultrasound-guided C-AR based on HCC location and preoperative identification of a single tumor-feeding portal pedicle. Initial C-AR experience was gained with laparoscopic cases in the beginning of 2020. Following our progressive experience in laparoscopic C-AR, patients requiring AR for HCC were consecutively selected for robotic C-AR. RESULTS A total of 10 patients underwent minimal access C-AR. All patients had Child-Pugh A HCC. The surgical procedures included 6 laparoscopic and 4 robotic C-AR. Median tumor size was 3.1 cm (range 2-7 cm). All procedures had R0 margin. Postoperative complications were nil. CONCLUSION C-AR technique is a feasible and promising technique for patients eligible for laparoscopic and robotic AR for HCC. Further data are necessary to validate its applicability to more complex minimal access AR.
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Affiliation(s)
- Fabio Procopio
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Bruno Branciforte
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Jacopo Galvanin
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Guido Costa
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Eloisa Franchi
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Matteo Cimino
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Guido Torzilli
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy.
- Division of Hepatobiliary & General Surgery, Department of Surgery - IRCCS, Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089, Milan, Italy.
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Deal M, Bardet F, Walker PM, de la Vega MF, Cochet A, Cormier L, Bentellis I, Loffroy R. Three-dimensional nuclear magnetic resonance spectroscopy: a complementary tool to multiparametric magnetic resonance imaging in the identification of aggressive prostate cancer at 3.0T. Quant Imaging Med Surg 2021; 11:3749-3766. [PMID: 34341747 DOI: 10.21037/qims-21-331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/13/2021] [Indexed: 12/12/2022]
Abstract
Background The limitations of the assessment of tumor aggressiveness by Prostate Imaging Reporting and Data System (PI-RADS) and biopsies suggest that the diagnostic algorithm could be improved by quantitative measurements in some chosen indications. We assessed the tumor high-risk predictive performance of 3.0 Tesla (3.0T) multiparametric magnetic resonance imaging (mp-MRI) combined with nuclear magnetic resonance spectroscopic sequences (NMR-S) in order to show that the metabolic analysis could bring out an evocative result for the aggressive form of prostate cancer. Methods We conducted a retrospective study of 26 patients (mean age, 62.4 years) who had surgery for prostate cancer between 2009 and 2016 after pre-therapeutic assessment with 3.0T mp-MRI and NMR-S. Groups within the intermediate range of the D'Amico risk classification were divided into two categories, low risk (n=20) and high risk (n=6), according to the International Society of Urological Pathology (ISUP) 2-3 limit. Histoprognostic discordances within various risk groups were compared with the corresponding predictive MRI values. The performance of predictive models was assessed based on sensitivity, specificity, and the area under the curve (AUC) of receiver operating characteristic (ROC) curves. Results After prostatectomy, histological analysis reclassified 18 patients as high-risk, including 16 who were T3 MRI grade, of whom 13 (81.3%) were found to be pT3. Among the patients who had cT1 or cT2 digital rectal examinations, the T3 MRI factor multiplied by 8.7 [odds ratio (OR), 8.7; 95% confidence interval (CI), 1.3-56.2; P=0.024] the relative risk of being pT3 and by 5.8 (OR, 5.8; 95% CI, 0.95-35.7; P=0.05) the relative risk of being pGleason (pGS) > GS-prostate biopsy. Spectroscopic data showed that the choline concentration was significantly higher (P=0.001) in aggressive disease. Conclusions The predictive model of tumor aggressiveness combining mp-MRI plus NMR-S was better than the mp-MRI model alone (AUC, 0.95 vs. 0.86). Information obtained by mp-MRI coupled with spectroscopy may improve the detection of occult aggressive disease, helping in the discrimination of intermediate risks.
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Affiliation(s)
- Michael Deal
- Department of Urology and Andrology, Arnault Tzanck Private Institute, Mougins Sophia-Antipolis, Mougins Cedex, France.,Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Florian Bardet
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Paul-Michael Walker
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | | | - Alexandre Cochet
- Department of Spectroscopy and Nuclear Magnetic Resonance, François-Mitterrand University Hospital, Dijon, France.,ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France
| | - Luc Cormier
- Department of Urology and Andrology, François-Mitterrand University Hospital, Dijon, France
| | - Imad Bentellis
- Department of Urology and Andrology, Sophia Antipolis University Hospital, Nice, France
| | - Romaric Loffroy
- ImViA Laboratory, EA-7535, Training and Research Unit in Health Sciences, University of Bourgogne/Franche-Comté, Dijon, France.,Department of Radiology and Medical Imaging, François-Mitterrand University Hospital, Dijon, France
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