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Maes-Carballo M, Gómez-Fandiño Y, García-García M, Martín-Díaz M, De-Dios-de-Santiago D, Khan KS, Bueno-Cavanillas A. Colorectal cancer treatment guidelines and shared decision making quality and reporting assessment: Systematic review. PATIENT EDUCATION AND COUNSELING 2023; 115:107856. [PMID: 37451055 DOI: 10.1016/j.pec.2023.107856] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 06/07/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023]
Abstract
INTRODUCTION Physicians must share decisions and choose personalised treatments regarding patients´ beliefs and values. OBJECTIVE To analyse the quality of the recommendations about shared decision making (SDM) in colorectal (CRC) and anal cancer treatment clinical practice guidelines (CPGs) and consensus statements (CSs). METHODS Guidelines were systematically reviewed following prospective registration (Prospero: CRD42021286146) without language restrictions searching 15 databases and 59 professional society websites from January 2010 to November 2021. A validated 31-item SDM quality assessment tool was employed to extract data in duplicate. RESULTS We identified 134 guidelines. Only 46/134 (34.3 %) mentioned SDM. Fifteen (11.1 %) made clear, precise and actionable recommendations, while 9/134 (6.7 %) indicated the strength of the SDM-related recommendations. CPGs underpinned by systematic reviews reported SDM more often than those based on consensus or reviews (35.9 % vs 32.0 %; p = 0.031). Guidelines that reported following quality tools (i.e., AGREE II) more commonly commented about SDM than when it was not reported (75.0 % vs 32.0 %; p = 0.003). CONCLUSION AND PRACTICE IMPLICATIONS Most of the CRC and anal treatment guidelines did not mention SDM and it was superficial. Guidelines based on systematic reviews and those using quality tools demonstrated better reporting of SDM. Recommendations about SDM in these guidelines merit urgent improvement.
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Affiliation(s)
- Marta Maes-Carballo
- Department of General Surgery, Breast Cancer Unit, Complexo Hospitalario de Ourense, Ourense, Spain; Hospital Público de Verín, Ourense, Spain; Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; University of Santiago de Compostela, Santiago de Compostela, Spain.
| | - Yolanda Gómez-Fandiño
- Department of General Surgery, Breast Cancer Unit, Complexo Hospitalario de Ourense, Ourense, Spain
| | - Manuel García-García
- Department of General Surgery, Breast Cancer Unit, Complexo Hospitalario de Ourense, Ourense, Spain; University of Santiago de Compostela, Santiago de Compostela, Spain
| | | | | | - Khalid Saeed Khan
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria IBS, Granada, Spain
| | - Aurora Bueno-Cavanillas
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; Instituto de Investigación Biosanitaria IBS, Granada, Spain; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
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2
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Fernández Moro C, Geyer N, Harrizi S, Hamidi Y, Söderqvist S, Kuznyecov D, Tidholm Qvist E, Salmonson Schaad M, Hermann L, Lindberg A, Heuchel RL, Martín-Bernabé A, Dhanjal S, Navis AC, Villard C, Del Valle AC, Bozóky L, Sparrelid E, Dirix L, Strell C, Östman A, Schmierer B, Vermeulen PB, Engstrand J, Bozóky B, Gerling M. An idiosyncratic zonated stroma encapsulates desmoplastic liver metastases and originates from injured liver. Nat Commun 2023; 14:5024. [PMID: 37596278 PMCID: PMC10439160 DOI: 10.1038/s41467-023-40688-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 07/31/2023] [Indexed: 08/20/2023] Open
Abstract
A perimetastatic capsule is a strong positive prognostic factor in liver metastases, but its origin remains unclear. Here, we systematically quantify the capsule's extent and cellular composition in 263 patients with colorectal cancer liver metastases to investigate its clinical significance and origin. We show that survival improves proportionally with increasing encapsulation and decreasing tumor-hepatocyte contact. Immunostaining reveals the gradual zonation of the capsule, transitioning from benign-like NGFRhigh stroma at the liver edge to FAPhigh stroma towards the tumor. Encapsulation correlates with decreased tumor viability and preoperative chemotherapy. In mice, chemotherapy and tumor cell ablation induce capsule formation. Our results suggest that encapsulation develops where tumor invasion into the liver plates stalls, representing a reparative process rather than tumor-induced desmoplasia. We propose a model of metastases growth, where the efficient tumor colonization of the liver parenchyma and a reparative liver injury reaction are opposing determinants of metastasis aggressiveness.
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Affiliation(s)
- Carlos Fernández Moro
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, 14186, Sweden
- Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, 14186, Stockholm, Sweden
| | - Natalie Geyer
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Sara Harrizi
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Yousra Hamidi
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Sara Söderqvist
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Danyil Kuznyecov
- Department of Clinical Genetics, Pathology and Molecular Diagnostics, Medicinsk Service, Skåne University Hospital, 22185, Lund, Sweden
| | - Evelina Tidholm Qvist
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, 14186, Sweden
| | | | - Laura Hermann
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Amanda Lindberg
- Department of Immunology, Genetics and Pathology, Uppsala University, 75185, Uppsala, Sweden
| | - Rainer L Heuchel
- Pancreatic Cancer Research Laboratory, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 14183, Hudinge, Sweden
| | | | - Soniya Dhanjal
- CRISPR Functional Genomics, SciLifeLab and Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17165, Solna, Sweden
| | - Anna C Navis
- CRISPR Functional Genomics, SciLifeLab and Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17165, Solna, Sweden
| | - Christina Villard
- Department of Medicine Huddinge, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Andrea C Del Valle
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Lorand Bozóky
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden
| | - Ernesto Sparrelid
- Department of Clinical Science, Intervention and Technology, Division of Surgery, Karolinska Institutet, Karolinska University Hospital, 14152, Stockholm, Sweden
| | - Luc Dirix
- Translational Cancer Research Unit (GZA Hospitals and University of Antwerp), Antwerp, Belgium
| | - Carina Strell
- Department of Immunology, Genetics and Pathology, Uppsala University, 75185, Uppsala, Sweden
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, 5020, Bergen, Norway
| | - Arne Östman
- Department of Oncology-Pathology, Karolinska Institutet, 17176, Solna, Sweden
| | - Bernhard Schmierer
- CRISPR Functional Genomics, SciLifeLab and Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17165, Solna, Sweden
| | - Peter B Vermeulen
- Translational Cancer Research Unit (GZA Hospitals and University of Antwerp), Antwerp, Belgium
| | - Jennie Engstrand
- Department of Clinical Science, Intervention and Technology, Division of Surgery, Karolinska Institutet, Karolinska University Hospital, 14152, Stockholm, Sweden
| | - Béla Bozóky
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, 14186, Sweden
| | - Marco Gerling
- Department of Biosciences and Nutrition, Karolinska Institutet, 14183, Huddinge, Sweden.
- Theme Cancer, Karolinska University Hospital, 17 176, Solna, Sweden.
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3
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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: 47] [Impact Index Per Article: 15.7] [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.
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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
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4
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Strömberg C, Martinez de la Maza L, Fernández Moro C, Gerling M, Jorns C, Sparrelid E, Löhr J, Villard C. Prognostic impact of inter-metastatic heterogeneity of viable tumour cells in colorectal liver metastases. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2022; 48:1656-1663. [DOI: 10.1016/j.ejso.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/03/2022] [Accepted: 03/08/2022] [Indexed: 11/16/2022]
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Tong ZMD, Wenzhao LMD, Yuanyuan SMD, Zhengmin WMD, Dezhi ZMD. Microwave Ablation of Colorectal Liver Metastases Guided by US-PET/CT Fusion Imaging: A Case Report. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY 2021. [DOI: 10.37015/audt.2021.200002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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6
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Quantified MRI and 25OH-VitD3 can be used as effective biomarkers for patients with neoadjuvant chemotherapy-induced liver injury in CRCLM? BMC Cancer 2020; 20:767. [PMID: 32799832 PMCID: PMC7429712 DOI: 10.1186/s12885-020-07282-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 08/09/2020] [Indexed: 12/26/2022] Open
Abstract
Background To evaluate proton-density fat-fraction (PDFF) and intravoxel incoherent motion (IVIM) techniques, and human 25-hydroxyvitamin D3 (25OH-VitD3) levels, as potential biomarkers in patients with colorectal cancer with liver metastasis (CRCLM). Changes were compared with those related to chemotherapy-associated steatohepatitis (CASH) and sinusoidal obstruction syndrome (SOS). Methods 63 patients with pathologically confirmed colorectal adenocarcinoma received 4–6 courses of NC before liver resection and underwent magnetic resonance imaging (MRI) with iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantification and IVIM sequences. Blood samples were analyzed using CTCAE. Pathological changes of liver tissues outside the metastases were assessed as the gold standard, and receiver operating characteristic (ROC) curves were analyzed. Results 16 cases had CASH liver injury, 14 cases had SOS changes, and 4 cases had CASH and SOS, and 7 showed no significant changes. Consistency between biochemical indices and pathological findings was poor (kappa = 0.246, p = 0.005). The areas under the ROC curve (AUCs) of ALT, AST, ALP, GGT, and TBIL were 0.571–0.691. AUCs of D, FF, and 25OH-VitD3 exceeded 0.8; when considering these markers together, sensitivity was 85.29% and specificity was 93.13%. ANOVA showed statistically significant differences among D, FF, and 25OH-VitD3 for different grades of liver injury (F = 4.64–26.5, p = 0.000–0.016). Conclusions D, FF, and 25OH-VitD3 are biomarkers for accurate prediction of NC-induced liver injury in patients with CRCLM, while FF and 25OH-VitD3 might be beneficial to distinguish liver injury grades. Trial registration Current Trials was retrospectively registered as ChiCTR1800015242 at Chinese Clinical Trial Registry on March 16, 2018.
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7
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Travis WD, Dacic S, Wistuba I, Sholl L, Adusumilli P, Bubendorf L, Bunn P, Cascone T, Chaft J, Chen G, Chou TY, Cooper W, Erasmus JJ, Ferreira CG, Goo JM, Heymach J, Hirsch FR, Horinouchi H, Kerr K, Kris M, Jain D, Kim YT, Lopez-Rios F, Lu S, Mitsudomi T, Moreira A, Motoi N, Nicholson AG, Oliveira R, Papotti M, Pastorino U, Paz-Ares L, Pelosi G, Poleri C, Provencio M, Roden AC, Scagliotti G, Swisher SG, Thunnissen E, Tsao MS, Vansteenkiste J, Weder W, Yatabe Y. IASLC Multidisciplinary Recommendations for Pathologic Assessment of Lung Cancer Resection Specimens After Neoadjuvant Therapy. J Thorac Oncol 2020; 15:709-740. [PMID: 32004713 DOI: 10.1016/j.jtho.2020.01.005] [Citation(s) in RCA: 273] [Impact Index Per Article: 54.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 12/25/2019] [Accepted: 01/04/2020] [Indexed: 12/14/2022]
Abstract
Currently, there is no established guidance on how to process and evaluate resected lung cancer specimens after neoadjuvant therapy in the setting of clinical trials and clinical practice. There is also a lack of precise definitions on the degree of pathologic response, including major pathologic response or complete pathologic response. For other cancers such as osteosarcoma and colorectal, breast, and esophageal carcinomas, there have been multiple studies investigating pathologic assessment of the effects of neoadjuvant therapy, including some detailed recommendations on how to handle these specimens. A comprehensive mapping approach to gross and histologic processing of osteosarcomas after induction therapy has been used for over 40 years. The purpose of this article is to outline detailed recommendations on how to process lung cancer resection specimens and to define pathologic response, including major pathologic response or complete pathologic response after neoadjuvant therapy. A standardized approach is recommended to assess the percentages of (1) viable tumor, (2) necrosis, and (3) stroma (including inflammation and fibrosis) with a total adding up to 100%. This is recommended for all systemic therapies, including chemotherapy, chemoradiation, molecular-targeted therapy, immunotherapy, or any future novel therapies yet to be discovered, whether administered alone or in combination. Specific issues may differ for certain therapies such as immunotherapy, but the grossing process should be similar, and the histologic evaluation should contain these basic elements. Standard pathologic response assessment should allow for comparisons between different therapies and correlations with disease-free survival and overall survival in ongoing and future trials. The International Association for the Study of Lung Cancer has an effort to collect such data from existing and future clinical trials. These recommendations are intended as guidance for clinical trials, although it is hoped they can be viewed as suggestion for good clinical practice outside of clinical trials, to improve consistency of pathologic assessment of treatment response.
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Affiliation(s)
- William D Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Sanja Dacic
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ignacio Wistuba
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Prasad Adusumilli
- Thoracic Surgery Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lukas Bubendorf
- Department of Pathology, University of Basel, Basel, Switzerland
| | - Paul Bunn
- Medical Oncology, Colorado University School of Medicine, Aurora, Colorado
| | - Tina Cascone
- Department of Thoracic Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Jamie Chaft
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gang Chen
- Department of Pathology, Zhongshan Hospital Fudan University, Shanghai, China
| | | | - Wendy Cooper
- Department of Pathology, Royal Prince Alfred Hospital, Sydney, Australia
| | - Jeremy J Erasmus
- Department of Radiology, MD Anderson Cancer Center, Houston, Texas
| | | | - Jin-Mo Goo
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - John Heymach
- Department of Thoracic Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas
| | - Fred R Hirsch
- Center for Thoracic Oncology, Tisch Cancer Institute at Mount Sinai, New York, New York
| | - Hidehito Horinouchi
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Keith Kerr
- Department of Pathology, Aberdeen University Medical School, Aberdeen, Scotland
| | - Mark Kris
- Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Young T Kim
- Thoracic and Cardiovascular Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Fernando Lopez-Rios
- Laboratorio de Dianas Terapeuticas, Hospital Universitario Madrid Sanchinarro, Madrid, Spain
| | - Shun Lu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai, China
| | - Tetsuya Mitsudomi
- Thoracic Surgery, Kinki University Faculty of Medicine, Osaka-Sayama, Japan
| | - Andre Moreira
- Department of Pathology, New York University School of Medicine, New York, New York
| | - Noriko Motoi
- Department of Pathology, Mational Cancer Center, Tokyo, Japan
| | - Andrew G Nicholson
- Department of Pathology, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | | | - Mauro Papotti
- Department of Pathology, University of Turin, Torino, Italy
| | - Ugo Pastorino
- Thoracic Surgery Division, Istituto Nazionale Tumor, Milan, Italy
| | - Luis Paz-Ares
- Medical Oncology, National Oncology Research Center, Madrid, Spain
| | | | - Claudia Poleri
- Office of Pathology Consultants, Buenos Aries, Argentina
| | - Mariano Provencio
- Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Anja C Roden
- Department of Pathology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Erik Thunnissen
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands
| | - Ming S Tsao
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | | | - Walter Weder
- Division of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Yasushi Yatabe
- Department of Pathology, Mational Cancer Center, Tokyo, Japan
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Wang Q, Ye F, Ma P, Chen F, Che Y, Zhao X, Yang L. Quantitative magnetic resonance imaging evaluation of hepatic fat content with iron deposition: will it be disturbed? J Int Med Res 2019; 47:1958-1974. [PMID: 30859893 PMCID: PMC6567757 DOI: 10.1177/0300060519836033] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Objective To explore noninvasive assessment of liver fat content with iron deposition using magnetic resonance (MR) quantitative technology. Methods A water–fat phantom with iron deposition containing 63 vials with predetermined fat percentages and iron concentrations was constructed. Thirty-three patients underwent fat quantitative MR examinations. The fat fraction (FF) was determined by three Dixon techniques. Pathological evaluation findings and the steatosis area rate (SAR) were used as the gold standards. Results FFIOP and FFLAVA-Flex significantly differed from FFTEST for iron concentrations of 1 to 30 µg/mL and fat components of 10% to 80%. Using the three Dixon techniques, FFIOP was 15.76% ± 6.98%, FFLAVA-Flex was 16.71% ± 6.77%, and FFIDEAL IQ was 13.18% ± 6.42% in patients without liver cirrhosis; these values in patients with liver cirrhosis were 20.35% ± 6.11%, 20.89% ± 8.49%, and 12.86% ± 4.00%, respectively. The SAR in patients without and with liver cirrhosis was 11.31% ± 5.89% and 9.84% ± 4.17%, respectively. There were significant positive correlations between FFIDEAL IQ and SAR with or without liver cirrhosis. Conclusion Iron deposition must be considered when using quantitative MR techniques to evaluate the hepatic fat content. Compared with the IOP and LAVA-Flex techniques, the IDEAL IQ technique has more stability and accuracy in measurement of the hepatic fat content, free from iron deposition.
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Affiliation(s)
- Qian Wang
- 1 Department of Radiology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China.,2 Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Ye
- 2 Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peiqing Ma
- 3 Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Chen
- 4 Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yiqun Che
- 2 Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinming Zhao
- 2 Department of Imaging Diagnosis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Yang
- 1 Department of Radiology, Chinese PLA General Hospital, Medical School of Chinese PLA, Beijing, China
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Dede K, Salamon F, Landherr L, Jakab F, Bursics A. Pathologic assessment of response to chemotherapy in colorectal cancer liver metastases after hepatic resection: which method to use? Pathol Oncol Res 2014; 21:173-9. [PMID: 24898285 DOI: 10.1007/s12253-014-9803-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2013] [Accepted: 05/22/2014] [Indexed: 01/05/2023]
Abstract
BACKGROUND Patients with metastatic colorectal cancer receive chemotherapy prior liver resection more and more frequently. Histopathologic assessment methods of the resected specimen could evaluate the response to chemotherapy. In this study it is analyzed if these histopathologic changes are specific to preoperative chemotherapy and if these methods have correlation with survival. METHODS Sixty three patients with available pathology slides, resected for colorectal cancer liver metastases were enrolled in this study. 46 patients (73%) received neoadjuvant chemotherapy. Five pathological evaluation methods were compared according to the literature: [1] residual tumor cell ratio, [2] tumor regression grade (TRG) scoring system, [3] modified tumor regression grade (mTRG) scoring system with the type of necrosis, [4] pattern of tumor regression and [5] the tumor thickness at the tumor-normal interface (TNI). RESULTS Analyzing the pathological methods between the chemotherapy (CTX) and the non-chemotherapy group (NC), we found that that four evaluation methods showed significant and one showed strong correlation with the use of chemotherapy. (Residual tumor cell ratio: p = 0.08; TRG: p <0.01; mTRG: p = 0.03; pattern of tumor regression: p <0.01; TNI: p = 0.02). In the chemotherapy group none of the analyzed pathological methods showed significant correlation with progression free survival (PFS) or with overall survival (OS). Residual tumor cell ratio, TRG and the pattern of tumor cells showed positive but not significant correlation with OS and PFS and a slight difference in the group of patients with TNI <2 mm could be documented. CONCLUSIONS Tumor regression grade (TRG) and tumor thickness at the tumor-normal interface (TNI) were the most useful methods for pathological response evaluation and these methods had some correlation with survival. According to these data, authors concluded, that a reproducible and well defined scoring system, based on different histopathological evaluation methods should be developed to predict more accurately the effect of neoadjuvant chemotherapy in CRCLM patients.
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Affiliation(s)
- K Dede
- Department of Surgery-Oncological Surgery, Uzsoki Teaching Hospital, 1145, Budapest, Uzsoki utca 29, Hungary,
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