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Garcia-Vicién G, Ruiz N, Micke P, Ruffinelli JC, Mils K, Bañuls M, Molina N, Pardo MA, Lladó L, Mezheyeuski A, Molleví DG. The histological growth patterns in liver metastases from colorectal cancer display differences in lymphoid, myeloid, and mesenchymal cells. MedComm (Beijing) 2024; 5:e70000. [PMID: 39563958 PMCID: PMC11574879 DOI: 10.1002/mco2.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 07/17/2024] [Accepted: 08/15/2024] [Indexed: 11/21/2024] Open
Abstract
Colorectal liver metastases grow following different histologic growth patterns (HGPs), classified as desmoplastic and nondesmoplastic (dHGP, non-dHGP), being the latter associated with worst prognosis. This study aimed to investigate the tumor microenvironment (TME) between HGPs supporting different survival. Multiplexed immunohistochemical staining was performed with the Opal7 system in a 100-patients cohort to evaluate the tumor-liver interface with three different cell panels: lymphoid, myeloid, and carcinoma-associated fibroblasts. Differences between HGPs were assessed by Mann-Whitney U test with Pratt correction and Holm-Bonferroni multitest adjustment. Cytotoxic T-cells were more abundant in tumoral areas of dHGP, while non-dHGP had higher macrophages infiltration, Th2, CD163+, and Calprotectin+ cells as well as higher pSMAD2 expression. Regarding carcinoma-associated fibroblasts, several subsets expressing COL1A1 were enriched in dHGP, while αSMAlow_single cells were present at higher densities in non-dHGP. Interestingly, Calprotectin+ cells confer better prognoses in non-dHGP, identifying a subgroup of good outcome patients that unexpectedly also show an enrichment in other myeloid cells. In summary, our results illustrate different TME landscapes with respect to HGPs. dHGP presents a higher degree of immunocompetence, higher amounts of Collagen 1 as well as lesser presence of myeloid cell populations, features that might be influencing on the better prognosis of encapsulated metastases.
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Affiliation(s)
- Gemma Garcia-Vicién
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Núria Ruiz
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
- Department of Pathology Hospital Universitari de Bellvitge L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Patrick Micke
- Department of Immunology, Genetics and Pathology Uppsala University Uppsala Sweden
| | - José Carlos Ruffinelli
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
- Department of Medical Oncology Institut Català d'Oncologia, L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Kristel Mils
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
- Department of Surgery Hospital Universitari de Bellvitge L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - María Bañuls
- Program Against Cancer Therapeutic Resistance (ProCURE) Institut Català d'Oncologia, L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Natalia Molina
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Miguel A Pardo
- Program Against Cancer Therapeutic Resistance (ProCURE) Institut Català d'Oncologia, L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Laura Lladó
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
- Department of Surgery Hospital Universitari de Bellvitge L'Hospitalet de Llobregat Barcelona Catalonia Spain
| | - Artur Mezheyeuski
- Department of Immunology, Genetics and Pathology Uppsala University Uppsala Sweden
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology Barcelona Catalonia Spain
| | - David G Molleví
- Tumoural and Stromal Chemoresistance Group, Oncobell Program, IDIBELL L'Hospitalet de Llobregat Barcelona Catalonia Spain
- Program Against Cancer Therapeutic Resistance (ProCURE) Institut Català d'Oncologia, L'Hospitalet de Llobregat Barcelona Catalonia Spain
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Qi MH, Li JT, Zhai B. Mechanisms of vascular co-option as a potential therapeutic target in hepatocellular carcinoma. Shijie Huaren Xiaohua Zazhi 2024; 32:827-834. [DOI: 10.11569/wcjd.v32.i11.827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Revised: 09/24/2024] [Accepted: 10/30/2024] [Indexed: 11/28/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common cancers, which has an insidious onset, and most of the patients have already lost the chance of radical surgery at the time of the first diagnosis, so systematic antitumor therapy has become the key to the treatment of intermediate and advanced HCC. The emergence of drug resistance to antitumor drugs is one of the most important reasons for the poor efficacy, which affects the prognosis of HCC patients, and how to improve the therapeutic efficacy for HCC is still the main focus of the present research. Although the research on antitumor drugs based on neovascularization has been deepening both domestically and abroad, less research has been done on the vascular co-option mode, which shares blood vessels of normal tissues to meet the metabolic needs of the tumor itself, and its impact on the progression of HCC and antitumor therapy has not been extensively studied. In this paper, we provide an overview of the impact of vascular co-option on multiple treatment modalities for hepatocellular carcinoma and related mechanisms, with a view to laying a theoretical foundation for improving drug resistance in HCC.
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Affiliation(s)
- Ming-Hao Qi
- Department of General Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150000, Heilongjiang Province, China
| | - Jing-Tao Li
- Department of General Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150000, Heilongjiang Province, China
| | - Bo Zhai
- Department of General Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin 150000, Heilongjiang Province, China
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Rhaiem R, Duramé A, Primavesi F, Dorcaratto D, Syn N, Rodríguez ÁDLH, Dupré A, Piardi T, Fernández GB, Villaverde AP, Rodríguez Sanjuán JC, Santiago RF, Fernández-Moreno MC, Ferret G, Ben SL, Suárez Muñoz MÁ, Perez-Alonso AJ, Koh YX, Jones R, Martín-Pérez E, Kianmanesh R, Di Martino M. Critical appraisal of surgical margins according to KRAS status in liver resection for colorectal liver metastases: Should surgical strategy be influenced by tumor biology? Surgery 2024; 176:124-133. [PMID: 38519408 DOI: 10.1016/j.surg.2024.02.008] [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: 12/01/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND KRAS mutation is a negative prognostic factor for colorectal liver metastases. Several studies have investigated the resection margins according to KRAS status, with conflicting results. The aim of the study was to assess the oncologic outcomes of R0 and R1 resections for colorectal liver metastases according to KRAS status. METHODS All patients who underwent resection for colorectal liver metastases between 2010 and 2015 with available KRAS status were enrolled in this multicentric international cohort study. Logistic regression models were used to investigate the outcomes of R0 and R1 colorectal liver metastases resections according to KRAS status: wild type versus mutated. The primary outcomes were overall survival and disease-free survival. RESULTS The analysis included 593 patients. KRAS mutation was associated with shorter overall survival (40 vs 60 months; P = .0012) and disease-free survival (15 vs 21 months; P = .003). In KRAS-mutated tumors, the resection margin did not influence oncologic outcomes. In multivariable analysis, the only predictor of disease-free survival and overall survival was primary tumor location (P = .03 and P = .03, respectively). In KRAS wild-type tumors, R0 resection was associated with prolonged overall survival (74 vs 45 months, P < .001) and disease-free survival (30 vs 17 months, P < .001). The multivariable model confirmed that R0 resection margin was associated with prolonged overall survival (hazard ratio = 1.43, 95% confidence interval: 1.01-2.03) and disease-free survival (hazard ratio = 1.42; 95% confidence interval: 1.06-1.91). CONCLUSIONS KRAS-mutated colorectal liver metastases showed more aggressive tumor biology with inferior overall survival and disease-free survival after liver resection. Although R0 resection was not associated with improved oncologic outcomes in the KRAS-mutated tumors group, it seems to be of paramount importance for achieving prolonged long-term survival in KRAS wild-type tumors.
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Affiliation(s)
- Rami Rhaiem
- Department of HBP and Digestive Oncological Surgery, Robert Debré University Hospital, University Reims Champagne-Ardenne, France.
| | - Adrien Duramé
- Department of HBP and Digestive Oncological Surgery, Robert Debré University Hospital, University Reims Champagne-Ardenne, France
| | - Florian Primavesi
- Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, United Kingdom; Hepatobiliary Surgery Centre, Salzkammergutklinikum Vöcklabruck, Austria
| | - Dimitri Dorcaratto
- Department of Surgery, Liver, Biliary, and Pancreatic Unit, Biomedical Research Institute INCLIVA, Hospital Clínico University of Valencia, Spain
| | - Nicholas Syn
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Singapore
| | - Ángela de la Hoz Rodríguez
- HPB Unit, Department of General and Digestive Surgery, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-IP), Universidad Autónoma de Madrid (UAM), Spain
| | - Aurélien Dupré
- Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, United Kingdom; Department of Surgical Oncology, Centre Léon Bérard, Lyon, France
| | - Tullio Piardi
- Department of HBP and Digestive Oncological Surgery, Robert Debré University Hospital, University Reims Champagne-Ardenne, France; Department of Surgery, HPB Unit, Simone Veil Hospital, Troyes, France
| | - Gerardo Blanco Fernández
- Department of HBP and Liver Transplantation Surgery, University Hospital of Badajoz, INUBE (Instituto Universitario de Investigación Biosanitaria de Extremadura), University of Extremadura, Badajoz, Spain
| | - Arancha Prada Villaverde
- Department of HBP and Liver Transplantation Surgery, University Hospital of Badajoz, INUBE (Instituto Universitario de Investigación Biosanitaria de Extremadura), University of Extremadura, Badajoz, Spain
| | | | | | - María-Carmen Fernández-Moreno
- Department of Surgery, Liver, Biliary, and Pancreatic Unit, Biomedical Research Institute INCLIVA, Hospital Clínico University of Valencia, Spain
| | - Georgina Ferret
- Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | | | | | - Alejandro J Perez-Alonso
- Unidad de Cirugia HBP y Trasplante Hepático, Hospital Universitario Virgen de las Nieves, Granada, Spain
| | - Ye-Xin Koh
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital, Singapore
| | - Robert Jones
- Aintree University Hospital, Liverpool University Hospitals NHS Foundation Trust, United Kingdom
| | - Elena Martín-Pérez
- HPB Unit, Department of General and Digestive Surgery, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-IP), Universidad Autónoma de Madrid (UAM), Spain
| | - Reza Kianmanesh
- Department of HBP and Digestive Oncological Surgery, Robert Debré University Hospital, University Reims Champagne-Ardenne, France
| | - Marcello Di Martino
- HPB Unit, Department of General and Digestive Surgery, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-IP), Universidad Autónoma de Madrid (UAM), Spain; Division of Hepatobiliary and Liver Transplantation Surgery, Department of Transplantation Surgery, A.O.R.N., Cardarelli, Napoli, Italy
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Wang R, Yan Z. Cancer spreading patterns based on epithelial-mesenchymal plasticity. Front Cell Dev Biol 2024; 12:1259953. [PMID: 38665432 PMCID: PMC11043583 DOI: 10.3389/fcell.2024.1259953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Introduction: Metastasis is a major cause of cancer-related deaths, underscoring the necessity to discern the rules and patterns of cancer cell spreading. Epithelial-mesenchymal plasticity contributes to cancer aggressiveness and metastasis. Despite establishing key determinants of cancer aggressiveness and metastatic ability, a comprehensive understanding of the underlying mechanism is unknown. We aimed to propose a classification system for cancer cells based on epithelial-mesenchymal plasticity, focusing on hysteresis of the epithelial-mesenchymal transition and the hybrid epithelial/mesenchymal phenotype. Methods: We extensively reviewed the concept of epithelial-mesenchymal plasticity, specifically considering the hysteresis of the epithelial-mesenchymal transition and the hybrid epithelial/mesenchymal phenotype. Results: In this review and hypothesis article, based on epithelial-mesenchymal plasticity, especially the hysteresis of epithelial-mesenchymal transition and the hybrid epithelial/mesenchymal phenotype, we proposed a classification of cancer cells, indicating that cancer cells with epithelial-mesenchymal plasticity potential could be classified into four types: irreversible hysteresis, weak hysteresis, strong hysteresis, and hybrid epithelial/mesenchymal phenotype. These four types of cancer cells had varied biology, spreading features, and prognoses. Discussion: Our results highlight that the proposed classification system offers insights into the diverse behaviors of cancer cells, providing implications for cancer aggressiveness and metastasis.
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Affiliation(s)
- Rui Wang
- Department of Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhaopeng Yan
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
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5
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Bohlok A, Tonneau C, Vankerckhove S, Craciun L, Lucidi V, Bouazza F, Hendlisz A, Van Laethem JL, Larsimont D, Vermeulen P, Donckier V, Demetter P. Association between primary tumor characteristics and histopathological growth pattern of liver metastases in colorectal cancer. Clin Exp Metastasis 2023; 40:431-440. [PMID: 37453024 DOI: 10.1007/s10585-023-10221-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: 12/19/2022] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
INTRODUCTION The microarchitecture of liver metastases (LMs), or histopathological growth pattern (HGP), has been demonstrated to be a significant prognostic factor in patients undergoing resection of colorectal liver metastases (CRLMs). Currently, however, HGP can be only determined on the operative specimen. Therefore, the development of new tools to predict the HGP of CRLMs before surgery and to understand the mechanisms that drive these patterns is important for improving individualization of therapeutic management. In this study, we analyzed data from a retrospective series of patients who underwent surgery for CRLMs to compare primary tumor characteristics, including markers of local aggressiveness and migratory capacity, and HGP of liver metastases. METHODS Data from a retrospective series of 167 patients who underwent curative-intent resection of CRLMs and in whom pathological samples from both primary tumor and liver metastases were available were reviewed. At the primary tumor level, KRAS mutational status, grade of differentiation, and tumor budding were assessed. HGP was scored in each resected CRLM, according to consensus guidelines, and classified as desmoplastic (dHGP) or non-desmoplastic (non-dHGP). Associations between primary tumor characteristics and HGP of CRLMs were evaluated using a binary logistic regression model. Overall survival and disease-free survival were evaluated using Kaplan-Meier and multivariable Cox regression analyses. RESULTS CRLMs were classified as dHGP in 36% of the patients and as non-dHGP in 64%. Higher rates of moderately or poorly differentiated primary tumors were observed in the non-dHGP CRLM group (80%), as compared with the dHGP group (60%) (OR = 3.6; 95%CI: 1.6-7.05; p = 0.001). Higher rates of tumor budding were observed in the non-dHGP CRLM group, with a median tumor budding value of 4 as compared with 2.5 in the dHGP group (p = 0.042). In the entire series, 5-year overall and disease-free survival were 43% and 32.5%, respectively. The non-dHGP CRLM group had worse post-hepatectomy survival, with 5-year overall and disease-free survival of 32.2% and 24.6%, respectively, as compared with 60.8% and 45.9%, respectively, for the dHGP group (p = 0.02). CONCLUSION Colorectal tumors with moderate or poor differentiation and those with high tumor budding are more frequently associated with CRLMs with a non-dHGP. This suggests that primary tumor characteristics of local aggressiveness and migratory capacity could preferentially promote the development of CRLMs with an infiltrating pattern and that these parameters should be considered as part of new scores for predicting HGP before surgery. This finding may stimulate new lines of research for more individualized therapeutic decision in patients with CRLM candidate to surgery.
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Affiliation(s)
- Ali Bohlok
- Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Camille Tonneau
- Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sophie Vankerckhove
- Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Ligia Craciun
- Pathology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Valerio Lucidi
- Abdominal Surgery, Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Fikri Bouazza
- Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alain Hendlisz
- Digestive Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Jean Luc Van Laethem
- Hepato-Gastroenterology, Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Denis Larsimont
- Pathology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Peter Vermeulen
- Translational Cancer Research Unit, Gasthuiszusters Antwerpen Hospitals and University of Antwerp (CORE, MIPRO), Wilrijk, Antwerp, Belgium
| | - Vincent Donckier
- Surgical Oncology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium.
| | - Pieter Demetter
- Pathology, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Brussels, Belgium
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Meyer YM, Wilting SM, Kraan J, Olthof P, Vermeulen P, Martens J, Grünhagen DJ, Sleijfer S, Verhoef C. Circulating tumour cells are associated with histopathological growth patterns of colorectal cancer liver metastases. Clin Exp Metastasis 2023; 40:69-77. [PMID: 36326981 PMCID: PMC9898367 DOI: 10.1007/s10585-022-10191-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
Histopathological Growth Patterns (HGPs) have prognostic and predictive value in patients with Colorectal Liver Metastases (CRLM). This study examined whether preoperative measurement of Circulating Tumour Cells (CTCs) is associated with HGP. CTCs were prospectively enumerated in 7.5 ml of blood using the FDA-approved CellSearch system in patients who underwent local treatment of CRLM with curative intent between 2008 and 2021. All CTC samples were collected on the day of local treatment. Patients treated with neoadjuvant chemotherapy for CRLM or with extrahepatic disease at the time of CTC sampling were excluded. HGP was scored retrospectively following the current consensus guidelines. The association between CTCs and HGP was investigated through multivariable logistic regression. Data were available for 177 patients, desmoplastic HGP (dHGP) was observed in 34 patients (19%). There were no statistically significant differences in patient and tumour characteristics between dHGP and non-dHGP at baseline. Patients with dHGP had longer overall - and disease-free survival (logrank p = 0.003 and 0.003, respectively) compared to patients with non-dHGP. CTCs were not detected in 25(74%) of dHGP patients and in 68(48%) of non-dHGP patients (chi-squared p = 0.006). Preoperative absence of CTCs was the only significant predictor for dHGP in multivariable logistic regression (Odds Ratio 2.7, 95%CI 1.1-6.8, p = 0.028), Table 3. Preoperative absence of CTCs is associated with dHGP in chemo naive CRLM patients without extrahepatic disease. Based on our results, CTC count alone is not sufficient to preoperatively identify HGPs, but integration of CTC count in multivariable prediction models may aid the preoperative identification of HGPs of CRLM.
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Affiliation(s)
- Y M Meyer
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - S M Wilting
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - J Kraan
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - P Olthof
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - P Vermeulen
- Translational Cancer Research Unit (GZA Hospitals and University of Antwerp), Antwerp, Belgium
| | - J Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - D J Grünhagen
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - S Sleijfer
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - C Verhoef
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
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Zaharia C, Veen T, Lea D, Kanani A, Alexeeva M, Søreide K. Histopathological Growth Pattern in Colorectal Liver Metastasis and The Tumor Immune Microenvironment. Cancers (Basel) 2022; 15:cancers15010181. [PMID: 36612177 PMCID: PMC9818232 DOI: 10.3390/cancers15010181] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/23/2022] [Accepted: 12/24/2022] [Indexed: 12/29/2022] Open
Abstract
Almost half of all patients with colorectal cancer present with or eventually develop metastasis, most frequently in the liver. Understanding the histopathological growth patterns and tumor immune microenvironment of colorectal liver metastases may help determine treatment strategies and assess prognosis. A literature search was conducted to gather information on cancer biology, histopathological growth patterns, and the tumor immune microenvironment in colorectal liver metastases, including their mechanisms and their impact on clinical outcomes. A first consensus on histopathological growth patterns emerged in 2017, identifying five growth patterns. Later studies found benefits from a two-tier system, desmoplastic and non-desmoplastic, incorporated into the updated 2022 consensus. Furthermore, the tumor immune microenvironment shows additional characteristic features with relevance to cancer biology. This includes density of T-cells (CD8+), expression of claudin-2, presence of vessel co-option versus angiogenesis, as well as several other factors. The relation between histopathological growth patterns and the tumor immune microenvironment delineates distinct subtypes of cancer biology. The distinct subtypes are found to correlate with risk of metastasis or relapse, and hence to clinical outcome and long-term survival in each patient. In order to optimize personalized and precision therapy for patients with colorectal liver metastases, further investigation into the mechanisms of cancer biology and their translational aspects to novel treatment targets is warranted.
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Affiliation(s)
- Claudia Zaharia
- Department of Pathology, Stavanger University Hospital, N-4068 Stavanger, Norway
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, N-4068 Stavanger, Norway
| | - Torhild Veen
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, N-4068 Stavanger, Norway
- Department of Gastrointestinal Surgery, Stavanger University Hospital, N-4068 Stavanger, Norway
| | - Dordi Lea
- Department of Pathology, Stavanger University Hospital, N-4068 Stavanger, Norway
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, N-4068 Stavanger, Norway
| | - Arezo Kanani
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, N-4068 Stavanger, Norway
- Department of Gastrointestinal Surgery, Stavanger University Hospital, N-4068 Stavanger, Norway
| | - Marina Alexeeva
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, N-4068 Stavanger, Norway
- Department of Gastrointestinal Surgery, Stavanger University Hospital, N-4068 Stavanger, Norway
| | - Kjetil Søreide
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, N-4068 Stavanger, Norway
- Department of Gastrointestinal Surgery, Stavanger University Hospital, N-4068 Stavanger, Norway
- Department of Clinical Medicine, University of Bergen, N-7804 Bergen, Norway
- Correspondence:
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8
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Kanno H, Hisaka T, Fujiyoshi K, Akiba J, Hashimoto K, Fujita F, Akagi Y. Prognostic Significance of the Histopathological Growth Pattern and Tumor-Infiltrating Lymphocytes in Stratifying Survival After Hepatectomy for Colorectal Liver Metastases. Ann Surg Oncol 2022; 30:3139-3147. [PMID: 36520232 DOI: 10.1245/s10434-022-12905-2] [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: 09/20/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND A histopathological growth pattern (HGP) occurs at the interface between tumor cells and the surrounding liver parenchyma. Desmoplastic HGP (dHGP) is associated with a favorable prognosis and shows denser infiltration of lymphocytes than other HGPs. Tumor-infiltrating lymphocytes (TILs) exert antitumor immunity, nonetheless, their prognostic significance in patients with dHGP is unknown. This study aimed to identify the prognostic significance of HGP and TILs in colorectal liver metastasis (CRLM). METHODS The study analyzed 140 patients who underwent hepatectomy for CRLM. Depending on the type of HGP and TIL, the patients were categorized into four groups (dHGP/high TIL, dHGP/low TIL, non-dHGP/high TIL, and non-dHGP/low TIL) for a comparison of their recurrence-free survival (RFS) and overall survival (OS). Uni- and multivariate analyses were performed using a Cox proportional hazards model. RESULTS The RFS and OS curves differed significantly between the groups. The multivariate analysis showed that a combination of HGP and TIL could stratify the recurrence and survival outcomes. CONCLUSION This study indicated that a combination of HGP and TIL can stratify the risk of survival after hepatectomy in patients with CRLM.
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Affiliation(s)
- Hiroki Kanno
- Department of Surgery, Kurume University School of Medicine, Kurume, Japan.
| | - Toru Hisaka
- Department of Surgery, Kurume University School of Medicine, Kurume, Japan
| | - Kenji Fujiyoshi
- Department of Surgery, Kurume University School of Medicine, Kurume, Japan
| | - Jun Akiba
- Department of Diagnostic Pathology, Kurume University Hospital, Kurume, Japan
| | - Kazuaki Hashimoto
- Department of Surgery, Kurume University School of Medicine, Kurume, Japan
| | - Fumihiko Fujita
- Department of Surgery, Kurume University School of Medicine, Kurume, Japan
| | - Yoshito Akagi
- Department of Surgery, Kurume University School of Medicine, Kurume, Japan
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9
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Li S, Li Z, Huang X, Zhang P, Deng J, Liu X, Xue C, Zhang W, Zhou J. CT, MRI, and radiomics studies of liver metastasis histopathological growth patterns: an up-to-date review. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:3494-3506. [PMID: 35895118 DOI: 10.1007/s00261-022-03616-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 02/07/2023]
Abstract
The histopathological growth patterns (HGPs) of liver metastases (LMs) are independently associated with the long-term prognosis of the primary tumor, with different HGPs predicting different patient outcomes and clinical treatment decisions. Non-invasive imaging biomarkers for stratification of HGPs are beneficial for treatment monitoring, evaluation of efficacy, and prognosis prediction of LMs. This review describes the state of research regarding computed tomography (CT), magnetic resonance imaging (MRI), and radiomics imaging biomarkers for LM-HGPs; discusses the advantages of CT, MRI, and radiomics for classification of LM-HGPs; and provides a reference for the stratification of LM-HGPs. Finally, the difficulties and deficiencies of CT, MRI, and radiomics in LM-HGP research are summarized along with the proposed directions for future research.
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Affiliation(s)
- Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Zhengxiao Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Xiaoyu Huang
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Peng Zhang
- Department of Pathology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China
| | - Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Xianwang Liu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Caiqiang Xue
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Wenjuan Zhang
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China.,Second Clinical School, Lanzhou University, Lanzhou, China.,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China. .,Second Clinical School, Lanzhou University, Lanzhou, China. .,Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China. .,Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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