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Gina Chia-Yi Chu Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Haiyen E Zhau Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Ruoxiang Wang Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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André Rogatko Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of
Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Xu Feng Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Majd Zayzafoon Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Youhua Liu Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Mary C Farach-Carson Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Sungyong You Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of
Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Jayoung Kim Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of
Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Michael R Freeman Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of
Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of
Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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Leland W K Chung Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of
Uro-Oncology Research, Surgery, Biomedical Sciences, Biostatistics and Bioinformatics Center, Department of Pathology, Department of Pathology, Department of Biochemistry and Cell Biology, Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, 8750 Beverly Blvd., Atrium 103, Los Angeles, California 90048, USA Departments of

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). Receptor activator of NF-κB ligand (RANKL)–RANK signaling has many crucial physiological roles in bone and other tissues ( Hanada et al . 2009 ), and aberrant RANKL–RANK signaling in cancer and bone cells affects cancer bone colonization ( Dougall 2011

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Brian Hung-Hin Lang
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Chung-Yau Lo
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Wai-Fan Chan
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King-Yin Lam
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Koon-Yat Wan
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–Meier method and the difference between the stages and/or risk groups were compared by the log-rank test. Using Cox proportional hazards analysis, the relative importance of each staging system was determined by calculating the proportion of variation in

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S E Bojesen
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S K Kjær
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E V S Høgdall
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B L Thomsen
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C K Høgdall
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J Blaakær
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A Tybjærg-Hansen
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B G Nordestgaard
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-factor interaction terms in models already including genotype and parity/ menopausal status. In the prospective study, we tested differences in ovarian cancer incidence as a function of left truncated age between genotypes by log-rank statistics. Genotype

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Marta Villanova Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA

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Sara M Tolaney Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA

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Le Min Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA

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NA 5 (71.4) 0 (0) 2 (28.6) 37 (64.9) 3 (5.3) 17 (29.8) 0.526 0.526 0.945 NA = not available. EFS The median EFS in groups A, B, and C and in group D was 16.5 and 16.0 months, respectively (log-rank test, P  = 0

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Sara Pusceddu Department of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Tumori Milano, Milan, Italy

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Antonio Facciorusso Gastroenterology Unit, Department of Surgical and Medical Sciences, University of Foggia, Foggia, Italy

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Luca Giacomelli Polistudium srl, Milan, Italy

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Natalie Prinzi Department of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Tumori Milano, Milan, Italy

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Francesca Corti Department of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Tumori Milano, Milan, Italy

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Monica Niger Department of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Tumori Milano, Milan, Italy

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Massimo Milione Diagnostic Pathology and Laboratory Medicine Department, Fondazione IRCCS Istituto Nazionale dei Tumori, ENETS Center of Excellence, Milan, Italy

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Jorgelina Coppa Gastro-intestinal Surgery and Liver Transplantation Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, ENETS Center of Excellence, Milan, Italy

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Tommaso Cascella Radiology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, ENETS Center of Excellence, Milan, Italy

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Iolanda Pulice Clinical Trial Center, Fondazione IRCCS Istituto Nazionale Tumori, 20133 Milano, Italy

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Lavinia Biamonte Clinical Trial Center, Fondazione IRCCS Istituto Nazionale Tumori, 20133 Milano, Italy

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Simonetta Papa Polistudium srl, Milan, Italy

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Maria Di Bartolomeo Department of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Tumori Milano, Milan, Italy

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Aashni Shah Polistudium srl, Milan, Italy

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Rodolfo Sacco Gastroenterology Unit, Department of Surgical and Medical Sciences, University of Foggia, Foggia, Italy

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Filippo de Braud Department of Medical Oncology, ENETS Center of Excellence, Fondazione IRCCS Istituto Tumori Milano, Milan, Italy
Oncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy

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threshold (HR 0.80, 95% CI: 0.63–1.02). On ranking analysis, combination of everolimus plus SSAs ( P score 0.86) and then everolimus alone ( P score 0.65) were ranked highest in increasing PFS, with the former detected as the best treatment strategy in

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Marc Diedisheim Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Diabetology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Solène Dermine Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Gastroenterology and Digestive Oncology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Anne Jouinot Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Endocrinology, Center for Rare Adrenal Diseases, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Amandine Septier Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France

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Sébastien Gaujoux Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Digestive Surgery, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Bertrand Dousset Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Digestive Surgery, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Guillaume Cadiot Department of Gastroenterology, Robert-Debré Hospital, Reims, France

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Etienne Larger Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Diabetology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Jérôme Bertherat Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Endocrinology, Center for Rare Adrenal Diseases, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Raphael Scharfmann Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France

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Benoit Terris Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Pathology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Romain Coriat Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Gastroenterology and Digestive Oncology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Guillaume Assié Université de Paris, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014, Paris, France
Department of Endocrinology, Center for Rare Adrenal Diseases, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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for quantitative variables and Chi-squared test or Fisher’s test for qualitative variables. Survival curves were obtained with Kaplan–Meier estimates and compared using the log-rank test. Cox proportional hazards regression was used for the DFS

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Yong-Zi Chen Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
Department of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, People’s Republic of China

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Youngchul Kim Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA

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Hatem H Soliman Department of Women’s Oncology and Experimental Therapeutics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
Department of Clinical Sciences, College of Medicine, University of South Florida, Tampa, Florida, USA

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GuoGuang Ying Department of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, People’s Republic of China

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Jae K Lee Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
Department of Clinical Sciences, College of Medicine, University of South Florida, Tampa, Florida, USA

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cell lines for each of the four drugs. Several different statistical methods have been used for this analysis, including Pearson product–moment correlation, Spearman’s rank-order correlation, Welch’s two-sample t -test by grouping the cell line into

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Reut Halperin ENTIRE Endocrine Neoplasia Translational Research Center, Sheba Medical Center, Tel Hashomer, Israel
Tel Aviv University Faculty of Medicine, Tel Aviv, Israel

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Liat Arnon ENTIRE Endocrine Neoplasia Translational Research Center, Sheba Medical Center, Tel Hashomer, Israel

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Sapir Nasirov ENTIRE Endocrine Neoplasia Translational Research Center, Sheba Medical Center, Tel Hashomer, Israel
Tel Aviv University Faculty of Medicine, Tel Aviv, Israel

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Limor Friedensohn ENTIRE Endocrine Neoplasia Translational Research Center, Sheba Medical Center, Tel Hashomer, Israel
Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel

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Michal Gershinsky Department of Endocrinology and Diabetes, Lady Davis Carmel Medical Center and Linn Medical Center and Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel

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Alona Telerman ENTIRE Endocrine Neoplasia Translational Research Center, Sheba Medical Center, Tel Hashomer, Israel

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Eitan Friedman Tel Aviv University Faculty of Medicine, Tel Aviv, Israel
Personalized Preventive Genetics Center, Assuta Medical Center, Tel-Aviv, Israel

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Rinat Bernstein-Molho Tel Aviv University Faculty of Medicine, Tel Aviv, Israel
The Susanne Levy Gertner Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Israel

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Amit Tirosh ENTIRE Endocrine Neoplasia Translational Research Center, Sheba Medical Center, Tel Hashomer, Israel
Tel Aviv University Faculty of Medicine, Tel Aviv, Israel

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analysis Time-dependent risk analyses were based on the Kaplan–Meier model, plots were generated using survminer package ( https://cran.r-project.org/package=survminer ), and for statistical analysis of time-dependent events, we used the log-rank test

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Matthew H Kulke Section of Hematology and Medical Oncology, Boston University and Boston Medical Center, Boston, Massachusetts, USA

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Fang-Shu Ou Alliance Statistics and Data Management Center and Mayo Clinic Cancer Center, Rochester, Minnesota, USA

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Donna Niedzwiecki Department of Biostatistics, Duke Cancer Center, Durham, North Carolina, USA

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Lucas Huebner Alliance Statistics and Data Management Center and Mayo Clinic Cancer Center, Rochester, Minnesota, USA

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Pamela Kunz Yale Cancer Center, New Haven, Connecticut, USA

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Hagen F Kennecke Virginia Mason Cancer Institute, Seattle, Washington, USA

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Edward M Wolin Tisch Cancer Institute, New York, New York, USA

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Jennifer A Chan Dana-Farber Cancer Institute, Boston, Massachusetts, USA

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Eileen M O’Reilly Memorial Sloan Kettering Cancer Center, New York, New York, USA

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Jeffrey A Meyerhardt Dana-Farber Cancer Institute, Boston, Massachusetts, USA

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Alan Venook UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California, USA

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.15 (from the log-rank test comparing two arms) would indicate the study regimen promising for further evaluation ( Mandrekar & Sargent 2010 ). Study accrual was extended to 150 patients due to concerns about achieving an adequate number of progression

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A Martinetti
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E Bajetta
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L Ferrari
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E Bombardieri
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receptor RANK, thereby inhibiting osteoclastogenesis ( Anderson et al. 1997 ). In vitro studies have demonstrated the synthesis of OPG by stromal cell line and osteoblasts and its stimulation by oestrogen ( Hofbauer et al. 1999 , Saika et al. 2001

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