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Philippe L Bedard
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Sandeep K Singhal Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Michail Ignatiadis Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Ian Bradbury Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada
Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Benjamin Haibe-Kains Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada
Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada
Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Christine Desmedt Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Sherene Loi Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Dean B Evans Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Stefan Michiels Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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J Michael Dixon Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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William R Miller Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Martine J Piccart Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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Christos Sotiriou Division of Medical Oncology and Hematology, Breast Cancer Translational Research Laboratory JC Heuson, Frontier Science (Scotland) Ltd, School of Medicine, Machine Learning Group, Novartis Institutes for BioMedical Research, Breakthrough Breast Research Group, University of Edinburgh, Department of Biostatistics and Computational Biology, Department of Medicine, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada

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2003 Studies of the potential utility of Ki67 as a predictive molecular marker of clinical response in primary breast cancer . Breast Cancer Research and Treatment 82 113 – 123 . doi:10.1023/B:BREA.0000003968.45511.3f . Baselga J Semiglazov

Article Type:
Research Article
DOI:
https://doi.org/10.1530/ERC-11-0180
Volume/Issue:
Volume 18: Issue 6
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Lucas Leite Cunha
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Marjory Alana Marcello
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Elaine Cristina Morari
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Suely Nonogaki Laboratory of Cancer Molecular Genetics, Adolfo Lutz Institute, Department of Genetics and Evolution, Department of Radiology, Department of Pathology, Laboratory of Investigative and Molecular Pathology (Ciped), Faculty of Medical Sciences, University of Campinas (Unicamp), PO Box 6111, 126 Tessalia Vieira de Camargo Street, Campinas, São Paulo, Brazil

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Fábio Frangiotti Conte Laboratory of Cancer Molecular Genetics, Adolfo Lutz Institute, Department of Genetics and Evolution, Department of Radiology, Department of Pathology, Laboratory of Investigative and Molecular Pathology (Ciped), Faculty of Medical Sciences, University of Campinas (Unicamp), PO Box 6111, 126 Tessalia Vieira de Camargo Street, Campinas, São Paulo, Brazil

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René Gerhard Laboratory of Cancer Molecular Genetics, Adolfo Lutz Institute, Department of Genetics and Evolution, Department of Radiology, Department of Pathology, Laboratory of Investigative and Molecular Pathology (Ciped), Faculty of Medical Sciences, University of Campinas (Unicamp), PO Box 6111, 126 Tessalia Vieira de Camargo Street, Campinas, São Paulo, Brazil

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Fernando Augusto Soares Laboratory of Cancer Molecular Genetics, Adolfo Lutz Institute, Department of Genetics and Evolution, Department of Radiology, Department of Pathology, Laboratory of Investigative and Molecular Pathology (Ciped), Faculty of Medical Sciences, University of Campinas (Unicamp), PO Box 6111, 126 Tessalia Vieira de Camargo Street, Campinas, São Paulo, Brazil

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José Vassallo Laboratory of Cancer Molecular Genetics, Adolfo Lutz Institute, Department of Genetics and Evolution, Department of Radiology, Department of Pathology, Laboratory of Investigative and Molecular Pathology (Ciped), Faculty of Medical Sciences, University of Campinas (Unicamp), PO Box 6111, 126 Tessalia Vieira de Camargo Street, Campinas, São Paulo, Brazil
Laboratory of Cancer Molecular Genetics, Adolfo Lutz Institute, Department of Genetics and Evolution, Department of Radiology, Department of Pathology, Laboratory of Investigative and Molecular Pathology (Ciped), Faculty of Medical Sciences, University of Campinas (Unicamp), PO Box 6111, 126 Tessalia Vieira de Camargo Street, Campinas, São Paulo, Brazil

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Laura Sterian Ward
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infiltrating DTC is closely associated with molecular markers of these tumors ( Cunha et al . 2012 a ). Lymph node metastatic tissues had lower levels of B7H1 than the primary tumor, suggesting an exhaustion of T-cell activation. French et al . (2012

Article Type:
Research Article
DOI:
https://doi.org/10.1530/ERC-12-0313
Volume/Issue:
Volume 20: Issue 1
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C Montagut
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I Tusquets
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B Ferrer
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J M Corominas
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B Bellosillo
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C Campas
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M Suarez
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X Fabregat
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E Campo
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P Gascon
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S Serrano
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P L Fernandez
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A Rovira
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J Albanell
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tumour markers or the inclusion of molecular markers – such as Ki67 or topoisomerase IIα – would lead to a higher predictive value ( Burcombe et al . 2005 ). On the other hand, HER2 overexpression is linked to response to adjuvant anthracycline

Article Type:
Research Article
DOI:
https://doi.org/10.1677/erc.1.01171
Volume/Issue:
Volume 13: Issue 2
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A Garolla
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A Ferlin
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C Vinanzi
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A Roverato
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G Sotti
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W Artibani
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C Foresta
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Polymorphic repeat in the androgen receptor gene: molecular markers of prostate cancer risk. Cancer Research 57 1194 –1198. Sultan C , Paris F, Terouanne B, Balaguer P, Georget V, Poujol N, Jeandel C, Lumbroso S & Nicolas JC

Article Type:
Research Article
DOI:
https://doi.org/10.1677/erc.1.00954
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Volume 12: Issue 3
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Gail S Prins Department of Urology, University of Illinois at Chicago, 820 South Wood St, MC 955, Chicago, Illinois 60612, USA

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prostate cancer risk? Is there a transgenerational risk for prostate cancer as a function of ED exposures? Can we establish molecular markers for ED exposures as they relate to prostate disease risk? Focused research on these and other specific questions is

Article Type:
Research Article
DOI:
https://doi.org/10.1677/ERC-08-0043
Volume/Issue:
Volume 15: Issue 3
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Pedro Weslley Rosario Santa Casa de Belo Horizonte, Minas Gerais, Brazil

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Gabriela Franco Mourão Santa Casa de Belo Horizonte, Minas Gerais, Brazil

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.1016/j.surg.2017.04.037 ) 29146229 10.1016/j.surg.2017.04.037 Nikiforov YE 2017 Role of molecular markers in thyroid nodule management: then and now . Endocrine Practice 23 979 – 988 . ( https://doi.org/10.4158/EP171805.RA ) 10.4158/EP171805.RA

Article Type:
Review Article
DOI:
https://doi.org/10.1530/ERC-19-0048
Volume/Issue:
Volume 26: Issue 5
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Massimo Milione 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

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Patrick Maisonneuve Division of Epidemiology and Biostatistics, European Institute of Oncology (IEO), Milan, Italy

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Alessio Pellegrinelli 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

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Federica Grillo Pathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova and Policlinico San Martino, Genova, Italy

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Luca Albarello Pathology Unit, IRCCS San Raffaele Scientifica Institute, Milan, Italy

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Paola Spaggiari Cancer Center Humanitas, Milan, Italy

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Alessandro Vanoli Fondazione IRCCS Policlinico San Matteo and Department of Molecular Medicine, University of Pavia, Pavia, Italy

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Giovanna Tagliabue Lombardy Cancer Registry, Varese Province Cancer Registry Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

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Eleonora Pisa Division of Pathology, European Institute of Oncology (IEO), Milan, Italy

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Luca Messerini Diagnostic and Molecular Pathology, Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy

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Giovanni Centonze Department of Experimental Oncology and Molecular Medicine, Unit of Tumor Genomics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
Clinical Research Lab (CRAB), Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

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Frediano Inzani Anatomic Pathology Unit, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy

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Aldo Scarpa ARC-Net Research Centre and Department of Diagnostics and Public Health-Section of Pathology, University and Hospital Trust of Verona, Verona, Italy

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Mauro Papotti Department of Oncology, University of Turin, Turin, Italy

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Marco Volante Department of Oncology, University of Turin, Turin, Italy

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Fausto Sessa Department of Medicine and Surgery, University of Insubria, Varese, Italy

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Nicola Fazio Gastrointestinal Medical Oncology and Neuroendocrine Tumors Unit, European Institute of Oncology (IEO), Milan, Italy

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Giancarlo Pruneri 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
University of Milan, School of Medicine, Milan, Italy

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Guido Rindi Institute of Anatomic Pathology, Università Cattolica del Sacro Cuore-Fondazione Policlinico Universitario A. Gemelli, Rome, Italy

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Enrico Solcia Fondazione IRCCS Policlinico San Matteo and Department of Molecular Medicine, University of Pavia, Pavia, Italy

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Stefano La Rosa Service of Clinical Pathology, Lausanne University Hospital, Institute of Pathology, Lausanne, Switzerland

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Carlo Capella Department of Medicine and Surgery, University of Insubria, Varese, Italy

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-life pathology reporting. The significant association of several molecular markers, including Rb, p16, p53 CDX2, CD117, ALDH and MMR, that we found in both NEC and non-NEC components seems to confirm and to extend previous studies ( Furlan et al . 2003 , 2013

Article Type:
Research Article
DOI:
https://doi.org/10.1530/ERC-17-0557
Volume/Issue:
Volume 25: Issue 5
Free access
Isabelle Laverdière Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Christine Flageole Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Étienne Audet-Walsh Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Patrick Caron Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Yves Fradet Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Louis Lacombe Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Éric Lévesque Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2
Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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Chantal Guillemette Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2
Pharmacogenomics Laboratory, CHU de Québec Research Center and Faculty of Medicine, Canada Research Chair in Pharmacogenomics, Centre Hospitalier Universitaire de Québec (CHU de Québec) Research Center and Faculty of Pharmacy, Laval University, R4720, 2705 Boulevard Laurier, Québec, Québec, Canada G1V 4G2

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BY Fradet Y Laverdiere I Rouleau M Huang CY Yu CC 2013 Molecular markers in key steroidogenic pathways, circulating steroid levels, and prostate cancer progression . Clinical Cancer Research 19 699 – 709 . ( doi:10

Article Type:
Research Article
DOI:
https://doi.org/10.1530/ERC-14-0423
Volume/Issue:
Volume 22: Issue 1
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Zsófia Tömböl
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Peter M Szabó
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Viktor Molnár Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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Zoltán Wiener Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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Gergely Tölgyesi Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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János Horányi Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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Peter Riesz Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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Peter Reismann
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Attila Patócs Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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István Likó Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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Rolf-Christian Gaillard Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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András Falus Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary
Second Department of Medicine, Department of Genetics, First Department of Surgery, Department of Urology, Molecular Medicine Research Group, Gedeon Richter Ltd, Division of Endocrinology, Research Group of Inflammation Biology and Immunogenomics, Faculty of Medicine, Semmelweis University, Szentkirályi Street 46, H-1088 Budapest, Hungary

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Károly Rácz
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Peter Igaz
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. Nature 455 58 – 63 . Soon PS McDonald KL Robinson BG Sidhu SB 2008 Molecular markers and the pathogenesis of adrenocortical cancer . Oncologist 13 548 – 561 . Subramanian A Tamayo P Mootha VK Mukherjee S Ebert BL Gillette

Article Type:
Research Article
DOI:
https://doi.org/10.1677/ERC-09-0096
Volume/Issue:
Volume 16: Issue 3
Free access
Mijin Kim Department of Internal Medicine, Pusan National University School of Medicine, Yangsan, Korea
Biomedical Research Institute, Pusan National University Hospital, Busan, Korea

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Chae Hwa Kwon Biomedical Research Institute, Pusan National University Hospital, Busan, Korea

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Bo Hyun Kim Department of Internal Medicine, Pusan National University School of Medicine, Yangsan, Korea
Biomedical Research Institute, Pusan National University Hospital, Busan, Korea

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, definite molecular markers are needed to estimate the aggressive progression and prognosis of low-risk PTMC at the initiation of active surveillance. PTMCs can metastasize to regional LNs even in the early stages of the disease, with an incidence of

Article Type:
Research Article
DOI:
https://doi.org/10.1530/ERC-24-0040
Volume/Issue:
Volume 31: Issue 8
Restricted access