1
|
Morawska I, Pasicz K, Cieszanowski A. Biomarkers of systemic treatment response: MR images of intratumoral fat deposition in colorectal liver metastases (CRLM) after chemotherapy. Int J Colorectal Dis 2024; 39:185. [PMID: 39562379 DOI: 10.1007/s00384-024-04762-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/11/2024] [Indexed: 11/21/2024]
Abstract
PURPOSE Colorectal cancer cells containing mobile lipids are said to be an early indicator of chemotherapy effects. The objective of the study was to examine the frequency and clinical relevance of intratumoral fat deposition in colorectal liver metastases (CRLM) post-chemotherapy using dual-echo chemical shift gradient-echo magnetic resonance imaging (MRI). METHODS A retrospective analysis of 98 patients with CRLM diagnosed between 2017 and 2022 (69 M, mean age 62.87 ± 10.73 years old) who had an MRI after chemotherapy was performed. On dual-echo chemical shift gradient-echo MRI, intratumoral fat deposition of CRLM was evaluated. A signal intensity drop of ≥ 12% in opposed-phase images vs. in-phase images indicated intratumoral fat. After chemotherapy, the presence of fat deposition was correlated with patients' overall survival. RESULTS Before and after chemotherapy, 0 (0%) and 29 (29.59%) patients exhibited intratumoral fat. The number of CRLM ranged from 1 to 25 with a median of 3 and a mean size of 32.58 ± 22.95 mm. The groups had statistically different survival times. Overall survival was shorter for patients with intratumoral fat deposition in CRLM (32 months (24-60, 95% CI)) than for patients without fat deposition in CRLM (48 months (36-NA, 95% CI)). CONCLUSION In our group, nearly 30% of CRLM patients exhibited intratumoral fat after chemotherapy. Patients with intratumoral fat deposition in CRLM have a shorter overall survival time. The presence of fat in CRLM correlates with a poor long-term prognosis.
Collapse
Affiliation(s)
- Irmina Morawska
- Department of Radiology I, The Maria Sklodowska-Curie National Research Institute of Oncology, 5 Wilhelm Conrad Roentgen St, 02-781, Warsaw, Poland.
| | - Katarzyna Pasicz
- Department of Medical Physics, The Maria Sklodowska-Curie National Research Institute of Oncology, 5 Wilhelm Conrad Roentgen St, 02-781, Warsaw, Poland
| | - Andrzej Cieszanowski
- Department of Clinical Radiology II, Faculty of Medicine, Medical University of Warsaw, 1A Stefan Banach St, 02-097, Warsaw, Poland
| |
Collapse
|
2
|
Lai TT, Ishida M, Kosaka H, Matsui K, Matsushima H, Yamamoto H, Kiguchi G, Nguyen KV, Inoue K, Takada M, Kato H, Hirose Y, Yoshii K, Kaibori M. The Prognostic Impact of Adipophilin Expression on Long-Term Survival Following Liver Resection in Patients with Colorectal Liver Metastases. Cancers (Basel) 2024; 16:3827. [PMID: 39594782 PMCID: PMC11592894 DOI: 10.3390/cancers16223827] [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: 09/21/2024] [Revised: 11/10/2024] [Accepted: 11/12/2024] [Indexed: 11/28/2024] Open
Abstract
Background/Objectives: Adipophilin (ADP) is a protein associated with lipid droplets, and its expression is related to poor prognosis in certain cancers. However, its impact on the survival of patients with colorectal liver metastases (CRLMs) remains unclear. This study investigated the impact of ADP expression on long-term survival following hepatectomy in patients with CRLM. Methods: We retrospectively analyzed 102 consecutive patients who underwent hepatectomy between 2006 and 2022. ADP expression was examined in resected specimens through immunohistochemical staining using tissue microarrays. Long-term outcomes for ADP-positive (n = 51) and ADP-negative (n = 51) groups were compared with Kaplan-Meier survival analysis. Results: We found significantly decreased 5-year recurrence-free survival (RFS) and overall survival (OS) rates for ADP-positive patients relative to ADP-negative patients (29.4% versus 52.1%, respectively; p = 0.001 and 43.7% versus 72.2%, respectively; p = 0.003). Moreover, multivariate Cox hazards analysis demonstrated that patients with ADP-positive CRLM had a worse prognosis after hepatectomy than those with ADP-negative CRLM, as reflected by both RFS (HR 2.46, 95% CI 1.39-4.36, p = 0.002) and OS (HR: 2.89, 95% CI 1.43-5.85, p = 0.003). Conclusions: ADP expression had a significant prognostic impact on the survival of patients with CRLM following liver resection and may aid in optimal treatment planning.
Collapse
Affiliation(s)
- Tung Thanh Lai
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
- Department of Surgery, Hanoi Medical University, Hanoi 100000, Vietnam
| | - Mitsuaki Ishida
- Department of Pathology, Osaka Medical and Pharmaceutical University, Osaka 569-8686, Japan; (M.I.); (Y.H.)
| | - Hisashi Kosaka
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Kosuke Matsui
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Hideyuki Matsushima
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Hidekazu Yamamoto
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Gozo Kiguchi
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Khanh Van Nguyen
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
- Internal Gastroenterology Department, VNU University of Medicine and Pharmacy, Hanoi 100000, Vietnam
| | - Kyoko Inoue
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Moriyasu Takada
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| | - Hiroki Kato
- Department of Mathematics and Statistics in Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (H.K.); (K.Y.)
| | - Yoshinobu Hirose
- Department of Pathology, Osaka Medical and Pharmaceutical University, Osaka 569-8686, Japan; (M.I.); (Y.H.)
| | - Kengo Yoshii
- Department of Mathematics and Statistics in Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (H.K.); (K.Y.)
| | - Masaki Kaibori
- Department of Hepatobiliary Surgery, Kansai Medical University, Osaka 573-1010, Japan; (T.T.L.); (H.K.); (K.M.); (H.M.); (H.Y.); (G.K.); (K.V.N.); (K.I.); (M.T.)
| |
Collapse
|
3
|
Dai S, Liu C, Chen L, Jiang K, Kong X, Li X, Chen H, Ding K. Hepatic steatosis predicts metachronous liver metastasis in colorectal cancer patients: a nested case-control study and systematic review. Am J Cancer Res 2024; 14:1292-1305. [PMID: 38590410 PMCID: PMC10998736 DOI: 10.62347/jhms4303] [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: 01/04/2024] [Accepted: 03/12/2024] [Indexed: 04/10/2024] Open
Abstract
Nearly twenty-five percent of colorectal cancer (CRC) patients develop metachronous colorectal liver metastasis (CRLM) after curative surgery. Hepatosteatosis is the most prevalent liver condition worldwide, but its impact on the incidence of metachronous CRLM is understudied. In the present study, we aimed to investigate the predictive value of hepatic steatosis on the development of metachronous CRLM. First, a nested case-control study was conducted, enrolling stage I to III CRC patients in the National Colorectal Cancer Cohort (NCRCC) database. Metachronous CRLM patients and recurrence-free patients were matched via propensity-score matching. Fatty liver was identified based on treatment-naïve CT scans and the degree of hepatic fibrosis was scored. Multivariable analysis was conducted to investigate the association between fatty liver and metachronous CRLM. In our database, a total of 414 patients were included. Metachronous CRLM patients had considerably higher rates of hepatic steatosis (30.9% versus 15.9%, P<0.001) and highly fibrotic liver (11.6% versus 2.9%, P=0.001) compared to recurrence-free patients. Multivariable analysis showed that fatty liver (odds ratios [OR]=1.99, 95% confidence interval [CI] 1.19-3.30, P=0.008) and fibrotic liver (OR=4.27, 95% CI 1.54-11.81, P=0.005) were associated with high risk of metachronous CRLM. Further, a systematic literature review was performed to assess available evidence on the association between hepatosteatosis and development of metachronous CRLM. In the systematic review, 1815 patients were pooled from eligible studies, and hepatic steatosis remained a significant risk factor for metachronous CRLM (OR=1.90, 95% CI 1.35-2.66, P<0.001, I2=25.3%). In conclusion, our data suggest that patients with a steatotic liver and a high fibrosis score at CRC diagnosis have elevated risk of developing metachronous CRLM.
Collapse
Affiliation(s)
- Siqi Dai
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Chengcheng Liu
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Lihao Chen
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Kai Jiang
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Xiangxing Kong
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Xiangyuan Li
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Haiyan Chen
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Department of Radiation Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| | - Kefeng Ding
- Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine300 Yuanju Street, Hangzhou 310000, Zhejiang, China
- Center for Medical Research and Innovation in Digestive System Tumors88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Zhejiang Provincial Clinical Research Center for CANCER88 Jiefang Street, Hangzhou 310000, Zhejiang, China
- Cancer Center of Zhejiang University88 Jiefang Street, Hangzhou 310000, Zhejiang, China
| |
Collapse
|
4
|
Wang P, Jie Y, Yao L, Sun YM, Jiang DP, Zhang SQ, Wang XY, Fan Y. Cells in the liver microenvironment regulate the process of liver metastasis. Cell Biochem Funct 2024; 42:e3969. [PMID: 38459746 DOI: 10.1002/cbf.3969] [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: 10/05/2023] [Revised: 01/31/2024] [Accepted: 02/26/2024] [Indexed: 03/10/2024]
Abstract
The research of liver metastasis is a developing field. The ability of tumor cells to invade the liver depends on the complicated interactions between metastatic cells and local subpopulations in the liver (including Kupffer cells, hepatic stellate cells, liver sinusoidal endothelial cells, and immune-related cells). These interactions are mainly mediated by intercellular adhesion and the release of cytokines. Cell populations in the liver microenvironment can play a dual role in the progression of liver metastasis through different mechanisms. At the same time, we can see the participation of liver parenchymal cells and nonparenchymal cells in the process of liver metastasis of different tumors. Therefore, the purpose of this article is to summarize the relationship between cellular components of liver microenvironment and metastasis and emphasize the importance of different cells in the occurrence or potential regression of liver metastasis.
Collapse
Affiliation(s)
- Pei Wang
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Yu Jie
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Lin Yao
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Yi-Meng Sun
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Da-Peng Jiang
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Shi-Qi Zhang
- Department of Gastroenterology, The Affiliated Suqian First People's Hospital of Xuzhou Medical University, Suqian, Jiangsu, China
| | - Xiao-Yan Wang
- Department of Gastroenterology, The Affiliated Suqian First People's Hospital of Xuzhou Medical University, Suqian, Jiangsu, China
| | - Yu Fan
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| |
Collapse
|
5
|
Kim SJ, Hyun J. Altered lipid metabolism as a predisposing factor for liver metastasis in MASLD. Mol Cells 2024; 47:100010. [PMID: 38237744 PMCID: PMC10960132 DOI: 10.1016/j.mocell.2024.100010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/22/2023] [Accepted: 12/09/2023] [Indexed: 02/12/2024] Open
Abstract
Recently, the incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing due to the high prevalence of metabolic conditions, such as obesity and type 2 diabetes mellitus. Steatotic liver is a hotspot for cancer metastasis in MASLD. Altered lipid metabolism, a hallmark of MASLD, remodels the tissue microenvironment, making it conducive to the growth of metastatic liver cancer. Tumors exacerbate the dysregulation of hepatic metabolism by releasing extracellular vesicles and particles into the liver. Altered lipid metabolism influences the proliferation, differentiation, and functions of immune cells, contributing to the formation of an immunosuppressive and metastasis-prone liver microenvironment in MASLD. This review discusses the mechanisms by which the steatotic liver promotes liver metastasis progression, focusing on its role in fostering an immunosuppressive microenvironment in MASLD. Furthermore, this review highlights lipid metabolism manipulation strategies for the therapeutic management of metastatic liver cancer.
Collapse
Affiliation(s)
- So Jung Kim
- Institute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea; Department of Nanobiomedical Science and BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan 31116, Republic of Korea
| | - Jeongeun Hyun
- Institute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea; Department of Nanobiomedical Science and BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan 31116, Republic of Korea; Mechanobiology Dental Medicine Research Center, College of Dentistry, Dankook University, Cheonan 31116, Republic of Korea.
| |
Collapse
|
6
|
Yamada S, Morine Y, Ikemoto T, Saito Y, Miyazaki K, Shimizu M, Tsuneyama K, Shimada M. Inhibitory effect of non-alcoholic steatohepatitis on colon cancer liver metastasis. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:410-415. [PMID: 36371329 DOI: 10.1016/j.ejso.2022.11.002] [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: 07/24/2022] [Revised: 10/29/2022] [Accepted: 11/01/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND The incidence of non-alcoholic steatohepatitis (NASH) is dramatically increasing, but the effect of NASH on colon cancer liver metastasis (CLM) is controversial. The aim of this study was to investigate the impact and mechanism of action of NASH on CLM using a western diet (WD)-fed mouse model. METHODS Six-week-old male C57BL/6 J mice were used. They were divided into the WD group and control group with normal diet. MC38 colon cancer cells were injected into the spleen at 2, 6, 8 and 16 weeks, and mice were killed at 2 weeks after injection to evaluate hepatic steatosis, fibrosis, metastasis and mRNA/protein expression in the liver. RESULTS Only mice fed a WD for 16 weeks showed hepatic fibrosis. These mice showed significantly higher alanine aminotransferase and total cholesterol levels compared with the control group (p < 0.05). The WD group showed significantly lower tumor number and smaller tumor diameter (p < 0.05). In the WD group, expression of SAA1, IL6, STAT3 and MMP9 mRNA in the liver was significantly lower than in the control group (p < 0.05). Serum amyloid A1 protein expression was also lower in the WD group. CONCLUSIONS The WD-fed NASH mouse model showed an inhibitory effect on CLM. Suppressed interleukin-6/signal transducer and activator of transcription 3 signaling and serum amyloid A/matrix metalloproteinase 9 expression may affect this phenomenon.
Collapse
Affiliation(s)
| | - Yuji Morine
- Department of Surgery, Tokushima University, Tokushima, Japan
| | - Tetsuya Ikemoto
- Department of Surgery, Tokushima University, Tokushima, Japan
| | - Yu Saito
- Department of Surgery, Tokushima University, Tokushima, Japan
| | | | - Mayuko Shimizu
- Department of Pathology and Laboratory Medicine, Tokushima University, Tokushima, Japan
| | - Koichi Tsuneyama
- Department of Pathology and Laboratory Medicine, Tokushima University, Tokushima, Japan
| | - Mitsuo Shimada
- Department of Surgery, Tokushima University, Tokushima, Japan
| |
Collapse
|
7
|
Peloso A, Tihy M, Moeckli B, Rubbia-Brandt L, Toso C. Clearing Steatosis Prior to Liver Surgery for Colorectal Metastasis: A Narrative Review and Case Illustration. Nutrients 2022; 14:5340. [PMID: 36558499 PMCID: PMC9785595 DOI: 10.3390/nu14245340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/26/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022] Open
Abstract
Over recent years, non-alcoholic fatty liver disease (NAFLD) has become the most common liver disorder in the developed world, accounting for 20% to 46% of liver abnormalities. Steatosis is the hallmark of NAFLD and is recognized as an important risk factor for complication and death after general surgery, even more so after liver resection. Similarly, liver steatosis also impacts the safety of live liver donation and transplantation. We aim to review surgical outcomes after liver resection for colorectal metastases in patients with steatosis and discuss the most common pre-operative strategies to reduce steatosis. Finally, as illustration, we report the favorable effect of a low-caloric, hyper-protein diet during a two-stage liver resection for colorectal metastases in a patient with severe steatosis.
Collapse
Affiliation(s)
- Andrea Peloso
- Division of Abdominal Surgery, Department of Surgery, Geneva University Hospitals, University of Geneva, 1205 Geneva, Switzerland
| | - Matthieu Tihy
- Department of Pathology and Immunology, University of Geneva, 1205 Geneva, Switzerland
- Division of Clinical Pathology, Geneva University Hospital, 1205 Geneva, Switzerland
| | - Beat Moeckli
- Division of Abdominal Surgery, Department of Surgery, Geneva University Hospitals, University of Geneva, 1205 Geneva, Switzerland
| | - Laura Rubbia-Brandt
- Department of Pathology and Immunology, University of Geneva, 1205 Geneva, Switzerland
- Division of Clinical Pathology, Geneva University Hospital, 1205 Geneva, Switzerland
| | - Christian Toso
- Division of Abdominal Surgery, Department of Surgery, Geneva University Hospitals, University of Geneva, 1205 Geneva, Switzerland
| |
Collapse
|
8
|
Latacz E, Höppener D, Bohlok A, Leduc S, Tabariès S, Fernández Moro C, Lugassy C, Nyström H, Bozóky B, Floris G, Geyer N, Brodt P, Llado L, Van Mileghem L, De Schepper M, Majeed AW, Lazaris A, Dirix P, Zhang Q, Petrillo SK, Vankerckhove S, Joye I, Meyer Y, Gregorieff A, Roig NR, Vidal-Vanaclocha F, Denis L, Oliveira RC, Metrakos P, Grünhagen DJ, Nagtegaal ID, Mollevi DG, Jarnagin WR, D’Angelica MI, Reynolds AR, Doukas M, Desmedt C, Dirix L, Donckier V, Siegel PM, Barnhill R, Gerling M, Verhoef C, Vermeulen PB. Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights. Br J Cancer 2022; 127:988-1013. [PMID: 35650276 PMCID: PMC9470557 DOI: 10.1038/s41416-022-01859-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 04/19/2022] [Accepted: 05/11/2022] [Indexed: 02/08/2023] Open
Abstract
The first consensus guidelines for scoring the histopathological growth patterns (HGPs) of liver metastases were established in 2017. Since then, numerous studies have applied these guidelines, have further substantiated the potential clinical value of the HGPs in patients with liver metastases from various tumour types and are starting to shed light on the biology of the distinct HGPs. In the present guidelines, we give an overview of these studies, discuss novel strategies for predicting the HGPs of liver metastases, such as deep-learning algorithms for whole-slide histopathology images and medical imaging, and highlight liver metastasis animal models that exhibit features of the different HGPs. Based on a pooled analysis of large cohorts of patients with liver-metastatic colorectal cancer, we propose a new cut-off to categorise patients according to the HGPs. An up-to-date standard method for HGP assessment within liver metastases is also presented with the aim of incorporating HGPs into the decision-making processes surrounding the treatment of patients with liver-metastatic cancer. Finally, we propose hypotheses on the cellular and molecular mechanisms that drive the biology of the different HGPs, opening some exciting preclinical and clinical research perspectives.
Collapse
Affiliation(s)
- Emily Latacz
- grid.5284.b0000 0001 0790 3681Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium
| | - Diederik Höppener
- grid.508717.c0000 0004 0637 3764Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Ali Bohlok
- grid.418119.40000 0001 0684 291XDepartment of Surgical Oncology, Institut Jules Bordet, Brussels, Belgium
| | - Sophia Leduc
- grid.5596.f0000 0001 0668 7884Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sébastien Tabariès
- grid.14709.3b0000 0004 1936 8649Department of Medicine, Rosalind and Morris Goodman Cancer Research Institute, McGill University, Montreal, QC Canada
| | - Carlos Fernández Moro
- grid.4714.60000 0004 1937 0626Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Huddinge, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Huddinge, Sweden
| | - Claire Lugassy
- grid.418596.70000 0004 0639 6384Department of Translational Research, Institut Curie, Paris, France
| | - Hanna Nyström
- grid.12650.300000 0001 1034 3451Department of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå, Sweden ,grid.12650.300000 0001 1034 3451Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Béla Bozóky
- grid.24381.3c0000 0000 9241 5705Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Huddinge, Sweden
| | - Giuseppe Floris
- grid.5596.f0000 0001 0668 7884Department of Imaging and Pathology, Laboratory of Translational Cell & Tissue Research and University Hospitals Leuven, KU Leuven, Leuven, Belgium ,grid.410569.f0000 0004 0626 3338Department of Pathology, University Hospitals Leuven, Campus Gasthuisberg, Leuven, Belgium
| | - Natalie Geyer
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Pnina Brodt
- grid.63984.300000 0000 9064 4811Department of Surgery, Oncology and Medicine, McGill University and the Research Institute, McGill University Health Center, Montreal, QC Canada
| | - Laura Llado
- grid.418284.30000 0004 0427 2257HBP and Liver Transplantation Unit, Department of Surgery, Hospital Universitari de Bellvitge, IDIBELL, L’Hospitalet de Llobregat, Barcelona, Catalonia Spain
| | - Laura Van Mileghem
- grid.5284.b0000 0001 0790 3681Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium
| | - Maxim De Schepper
- grid.5596.f0000 0001 0668 7884Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Ali W. Majeed
- grid.31410.370000 0000 9422 8284Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
| | - Anthoula Lazaris
- grid.63984.300000 0000 9064 4811Cancer Research Program, McGill University Health Centre Research Institute, Montreal, QC Canada
| | - Piet Dirix
- grid.5284.b0000 0001 0790 3681Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium
| | - Qianni Zhang
- grid.4868.20000 0001 2171 1133School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Stéphanie K. Petrillo
- grid.63984.300000 0000 9064 4811Cancer Research Program, McGill University Health Centre Research Institute, Montreal, QC Canada
| | - Sophie Vankerckhove
- grid.418119.40000 0001 0684 291XDepartment of Surgical Oncology, Institut Jules Bordet, Brussels, Belgium
| | - Ines Joye
- grid.5284.b0000 0001 0790 3681Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium
| | - Yannick Meyer
- grid.508717.c0000 0004 0637 3764Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Alexander Gregorieff
- grid.63984.300000 0000 9064 4811Cancer Research Program, McGill University Health Centre Research Institute, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Pathology, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Regenerative Medicine Network, McGill University, Montreal, QC Canada
| | - Nuria Ruiz Roig
- grid.411129.e0000 0000 8836 0780Department of Pathology, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Catalonia Spain ,grid.418284.30000 0004 0427 2257Tumoral and Stromal Chemoresistance Group, Oncobell Program, IDIBELL, L’Hospitalet de Llobregat, Barcelona, Catalonia Spain ,grid.5841.80000 0004 1937 0247Human Anatomy and Embryology Unit, Department of Pathology and Experimental Therapeutics, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Catalonia Spain
| | - Fernando Vidal-Vanaclocha
- grid.253615.60000 0004 1936 9510GWU-Cancer Center, Department of Biochemistry and Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, DC, USA
| | - Larsimont Denis
- grid.418119.40000 0001 0684 291XDepartment of Pathology, Institut Jules Bordet, Brussels, Belgium
| | - Rui Caetano Oliveira
- grid.28911.330000000106861985Pathology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal ,grid.8051.c0000 0000 9511 4342Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal ,grid.8051.c0000 0000 9511 4342Coimbra Institute for Clinical and Biomedical Research (iCBR) area of Environment Genetics and Oncobiology (CIMAGO), Institute of Biophysics, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Peter Metrakos
- grid.63984.300000 0000 9064 4811Cancer Research Program, McGill University Health Centre Research Institute, Montreal, QC Canada
| | - Dirk J. Grünhagen
- grid.508717.c0000 0004 0637 3764Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Iris D. Nagtegaal
- grid.10417.330000 0004 0444 9382Department of Pathology, Radboud University Medical Center, Nijmegen, Netherlands
| | - David G. Mollevi
- grid.418284.30000 0004 0427 2257Tumoral and Stromal Chemoresistance Group, Oncobell Program, IDIBELL, L’Hospitalet de Llobregat, Barcelona, Catalonia Spain ,grid.418701.b0000 0001 2097 8389Program Against Cancer Therapeutic Resistance (ProCURE), Institut Català d’Oncologia, L’Hospitalet de Llobregat, Barcelona, Catalonia Spain
| | - William R. Jarnagin
- grid.51462.340000 0001 2171 9952Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Michael I D’Angelica
- grid.51462.340000 0001 2171 9952Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Andrew R. Reynolds
- grid.417815.e0000 0004 5929 4381Oncology R&D, AstraZeneca, Cambridge, UK
| | - Michail Doukas
- grid.5645.2000000040459992XDepartment of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Christine Desmedt
- grid.5596.f0000 0001 0668 7884Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Luc Dirix
- grid.5284.b0000 0001 0790 3681Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium
| | - Vincent Donckier
- grid.418119.40000 0001 0684 291XDepartment of Surgical Oncology, Institut Jules Bordet, Brussels, Belgium
| | - Peter M. Siegel
- grid.14709.3b0000 0004 1936 8649Department of Medicine, Rosalind and Morris Goodman Cancer Research Institute, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Departments of Medicine, Biochemistry, Anatomy & Cell Biology, McGill University, Montreal, QC Canada
| | - Raymond Barnhill
- grid.418596.70000 0004 0639 6384Department of Translational Research, Institut Curie, Paris, France ,Université de Paris l’UFR de Médecine, Paris, France
| | - Marco Gerling
- grid.4714.60000 0004 1937 0626Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden ,grid.24381.3c0000 0000 9241 5705Theme Cancer, Karolinska University Hospital, Solna, Sweden
| | - Cornelis Verhoef
- grid.508717.c0000 0004 0637 3764Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Peter B. Vermeulen
- grid.5284.b0000 0001 0790 3681Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium
| |
Collapse
|
9
|
Liang M, Ma X, Wang L, Li D, Wang S, Zhang H, Zhao X. Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery. Cancer Imaging 2022; 22:50. [PMID: 36089623 PMCID: PMC9465956 DOI: 10.1186/s40644-022-00485-z] [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: 06/04/2022] [Accepted: 08/24/2022] [Indexed: 11/10/2022] Open
Abstract
Background To develop a radiomics model based on pretreatment whole-liver portal venous phase (PVP) contrast-enhanced CT (CE-CT) images for predicting metachronous liver metastases (MLM) within 24 months after rectal cancer (RC) surgery. Methods This study retrospectively analyzed 112 RC patients without preoperative liver metastases who underwent rectal surgery between January 2015 and December 2017 at our institution. Volume of interest (VOI) segmentation of the whole-liver was performed on the PVP CE-CT images. All 1316 radiomics features were extracted automatically. The maximum-relevance and minimum-redundancy and least absolute shrinkage and selection operator methods were used for features selection and radiomics signature constructing. Three models based on radiomics features (radiomics model), clinical features (clinical model), and radiomics combined with clinical features (combined model) were built by multivariable logistic regression analysis. Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of models, and calibration curve and the decision curve analysis were performed to evaluate the clinical application value. Results In total, 52 patients in the MLM group and 60 patients in the non-MLM group were enrolled in this study. The radscore was built using 16 selected features and the corresponding coefficients. Both the radiomics model and the combined model showed higher diagnostic performance than clinical model (AUCs of training set: radiomics model 0.84 (95% CI, 0.76–0.93), clinical model 0.65 (95% CI, 0.55–0.75), combined model 0.85 (95% CI, 0.77–0.94); AUCs of validation set: radiomics model 0.84 (95% CI, 0.70–0.98), clinical model 0.58 (95% CI, 0.40–0.76), combined model 0.85 (95% CI, 0.71–0.99)). The calibration curves showed great consistency between the predicted value and actual event probability. The DCA showed that both the radiomics and combined models could add a net benefit on a large scale. Conclusions The radiomics model based on preoperative whole-liver PVP CE-CT could predict MLM within 24 months after RC surgery. Clinical features could not significantly improve the prediction efficiency of the radiomics model. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-022-00485-z.
Collapse
|
10
|
Sakai N, Hayano K, Mishima T, Furukawa K, Takayashiki T, Kuboki S, Takano S, Kawasaki Y, Matsubara H, Ohtsuka M. Fat signal fraction assessed with MRI predicts hepatic recurrence following hepatic resection for colorectal liver metastases. Langenbecks Arch Surg 2022; 407:1981-1989. [PMID: 35362752 DOI: 10.1007/s00423-022-02482-z] [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: 10/04/2021] [Accepted: 02/20/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE The effect of hepatic steatosis on the development of colorectal liver metastases (CRLM) remains unknown. This study evaluated the usefulness of fat signal fraction assessed with magnetic resonance imaging (MRI) and the effect of hepatic steatosis on hepatic recurrences following initial hepatectomy for CRLM. METHODS Between January 2013 and December 2019, 64 patients underwent initial hepatectomy for CRLM. The medical records of these patients were reviewed to evaluate the recurrence and survival outcomes. RESULTS The fat signal fraction was positively correlated with the nonalcoholic fatty liver disease activity score and liver-spleen ratio. Recurrence following the initial hepatectomy was observed in 48/64 patients, and hepatic recurrence was observed in 30/64 patients. The fat signal fraction was significantly higher in patients with hepatic recurrence after initial hepatectomy. The hepatic recurrence rate was 69.2% in patients with fat signal fraction ≥ 0.0258, which was significantly higher than that in patients with fat signal fraction < 0.0258. Hepatic recurrence-free survival rate was significantly higher in patients with fat signal fraction < 0.0258 than in those with fat signal fraction ≥ 0.0258. Multivariate analyses revealed that fat signal fraction ≥ 0.0258 was an independent risk factor for hepatic recurrence. CONCLUSION The fat signal fraction assessed with MRI was significantly associated with hepatic recurrence following initial hepatectomy for CRLM.
Collapse
Affiliation(s)
- Nozomu Sakai
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Koichi Hayano
- Department of Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takashi Mishima
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Katsunori Furukawa
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Tsukasa Takayashiki
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Satoshi Kuboki
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Shigetsugu Takano
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Yohei Kawasaki
- Faculty of Nursing, Japanese Red Cross College of Nursing, Tokyo, Japan
| | - Hisahiro Matsubara
- Department of Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Masayuki Ohtsuka
- Department of General Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.
| |
Collapse
|
11
|
Monelli F, Besutti G, Djuric O, Bonvicini L, Farì R, Bonfatti S, Ligabue G, Bassi MC, Damato A, Bonelli C, Pinto C, Pattacini P, Giorgi Rossi P. The Effect of Diffuse Liver Diseases on the Occurrence of Liver Metastases in Cancer Patients: A Systematic Review and Meta-Analysis. Cancers (Basel) 2021; 13:2246. [PMID: 34067076 PMCID: PMC8124499 DOI: 10.3390/cancers13092246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 04/29/2021] [Accepted: 05/03/2021] [Indexed: 12/14/2022] Open
Abstract
This systematic review with meta-analysis aimed to assess the effect of diffuse liver diseases (DLD) on the risk of synchronous (S-) or metachronous (M-) liver metastases (LMs) in patients with solid neoplasms. Relevant databases were searched for systematic reviews and cross-sectional or cohort studies published since 1990 comparing the risk of LMs in patients with and without DLD (steatosis, viral hepatitis, cirrhosis, fibrosis) in non-liver solid cancer patients. Outcomes were prevalence of S-LMs, cumulative risk of M-LMs and LM-free survival. Risk of bias (ROB) was assessed using the Newcastle-Ottawa Scale. We report the pooled relative risks (RR) for S-LMs and hazard ratios (HR) for M-LMs. Subgroup analyses included DLD, primary site and continent. Nineteen studies were included (n = 37,591 patients), the majority on colorectal cancer. ROB appraisal results were mixed. Patients with DLD had a lower risk of S-LMs (RR 0.50, 95% CI 0.34-0.76), with a higher effect for cirrhosis and a slightly higher risk of M-LMs (HR 1.11 95% CI, 1.03-1.19), despite a lower risk of M-LMs in patients with vs without viral hepatitis (HR 0.57, 95% CI 0.40-0.82). There may have been a publication bias in favor of studies reporting a lower risk for patients with DLD. DLD are protective against S-LMs and slightly protective against M-LMs for viral hepatitis only.
Collapse
Affiliation(s)
- Filippo Monelli
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41124 Modena, Italy;
- Radiology Unit, Department of Diagnostic Imaging and Laboratory Medicine, AUSL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Giulia Besutti
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41124 Modena, Italy;
- Radiology Unit, Department of Diagnostic Imaging and Laboratory Medicine, AUSL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Olivera Djuric
- Epidemiology Unit, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (O.D.); (L.B.); (P.G.R.)
- Center for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41124 Modena, Italy
| | - Laura Bonvicini
- Epidemiology Unit, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (O.D.); (L.B.); (P.G.R.)
| | - Roberto Farì
- Radiology Unit, AOU Policlinico di Modena, University of Modena and Reggio Emilia, 41124 Modena, Italy; (R.F.); (S.B.); (G.L.)
| | - Stefano Bonfatti
- Radiology Unit, AOU Policlinico di Modena, University of Modena and Reggio Emilia, 41124 Modena, Italy; (R.F.); (S.B.); (G.L.)
| | - Guido Ligabue
- Radiology Unit, AOU Policlinico di Modena, University of Modena and Reggio Emilia, 41124 Modena, Italy; (R.F.); (S.B.); (G.L.)
| | - Maria Chiara Bassi
- Medical Library, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Angela Damato
- Oncology Department, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (A.D.); (C.B.); (C.P.)
| | - Candida Bonelli
- Oncology Department, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (A.D.); (C.B.); (C.P.)
| | - Carmine Pinto
- Oncology Department, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (A.D.); (C.B.); (C.P.)
| | - Pierpaolo Pattacini
- Radiology Unit, Department of Diagnostic Imaging and Laboratory Medicine, AUSL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Paolo Giorgi Rossi
- Epidemiology Unit, AUSL- IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (O.D.); (L.B.); (P.G.R.)
| |
Collapse
|
12
|
Broadfield LA, Pane AA, Talebi A, Swinnen JV, Fendt SM. Lipid metabolism in cancer: New perspectives and emerging mechanisms. Dev Cell 2021; 56:1363-1393. [PMID: 33945792 DOI: 10.1016/j.devcel.2021.04.013] [Citation(s) in RCA: 342] [Impact Index Per Article: 85.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/15/2021] [Accepted: 04/08/2021] [Indexed: 12/12/2022]
Abstract
Tumors undergo metabolic transformations to sustain uncontrolled proliferation, avoid cell death, and seed in secondary organs. An increased focus on cancer lipid metabolism has unveiled a number of mechanisms that promote tumor growth and survival, many of which are independent of classical cellular bioenergetics. These mechanisms include modulation of ferroptotic-mediated cell death, support during tumor metastasis, and interactions with the cells of the tumor microenvironment. As such, targeting lipid metabolism for anti-cancer therapies is attractive, with recent work on small-molecule inhibitors identifying compounds to target lipid metabolism. Here, we discuss these topics and identify open questions.
Collapse
Affiliation(s)
- Lindsay A Broadfield
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Antonino Alejandro Pane
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Ali Talebi
- Department of Oncology, Laboratory of Lipid Metabolism and Cancer, Leuven Cancer Institute (LKI), KU Leuven, University of Leuven, Leuven, Belgium
| | - Johannes V Swinnen
- Department of Oncology, Laboratory of Lipid Metabolism and Cancer, Leuven Cancer Institute (LKI), KU Leuven, University of Leuven, Leuven, Belgium
| | - Sarah-Maria Fendt
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium.
| |
Collapse
|
13
|
Masaki S, Hashimoto Y, Kunisho S, Kimoto A, Kitadai Y. Fatty change of the liver microenvironment influences the metastatic potential of colorectal cancer. Int J Exp Pathol 2020; 101:162-170. [PMID: 32783302 PMCID: PMC7495750 DOI: 10.1111/iep.12371] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 07/02/2020] [Accepted: 07/02/2020] [Indexed: 12/13/2022] Open
Abstract
Fatty liver is the most common cause of liver disease, and its prevalence has been increasing globally. Colorectal cancer (CRC) accounts for approximately 10% of all cancers and metastasizes most commonly to the liver. Paget's ‘Seed and Soil’ theory of metastasis proposed that the secondary growth of cancer cells is dependent on the distal organ microenvironment. This implies that the risk of metastasis may change due to changes in the microenvironment of target organs. However, the association between steatosis, fatty change in the liver microenvironment, and liver metastasis has not been clarified. Here, we induced fatty liver conditions in BALB/c mice using a choline‐deficient high‐fat diet with 0.1% methionine (CDAHFD) and then injected the CT26 cells to produce experimental metastasis. The number of metastatic tumours was significantly increased in mice with severe fatty liver as compared to control mice. The average size of metastatic tumours was smaller in mice with moderate fatty liver than in control mice. The stromal components, including cancer‐associated fibroblasts, tumour‐associated macrophages and tumour‐infiltrating lymphocytes, were also examined. Metastatic tumours in fatty liver showed invasive growth patterns without a fibrotic capsule. Compared to control groups, the polarization of macrophages and subtypes of tumour‐infiltrating lymphocytes differed depending on the extent of fatty liver progression. These results indicated that fatty changes in the liver influenced liver metastasis of CRC. Although moderate fatty changes suppress the growth of metastatic tumours in the liver, a severe fatty microenvironment may promote invasion and metastasis through alteration of the tumour microenvironment (TME).
Collapse
Affiliation(s)
- Satoshi Masaki
- Department of Health and Science, Prefectural University of Hiroshima, Hiroshima, Japan
| | - Yoshimi Hashimoto
- Department of Health and Science, Prefectural University of Hiroshima, Hiroshima, Japan
| | - Shoma Kunisho
- Department of Health and Science, Prefectural University of Hiroshima, Hiroshima, Japan
| | - Akiko Kimoto
- Department of Health and Science, Prefectural University of Hiroshima, Hiroshima, Japan
| | - Yasuhiko Kitadai
- Department of Health and Science, Prefectural University of Hiroshima, Hiroshima, Japan
| |
Collapse
|