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      The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging : The Eighth Edition AJCC Cancer Staging Manual

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          Abstract

          The American Joint Committee on Cancer (AJCC) staging manual has become the benchmark for classifying patients with cancer, defining prognosis, and determining the best treatment approaches. Many view the primary role of the tumor, lymph node, metastasis (TNM) system as that of a standardized classification system for evaluating cancer at a population level in terms of the extent of disease, both at initial presentation and after surgical treatment, and the overall impact of improvements in cancer treatment. The rapid evolution of knowledge in cancer biology and the discovery and validation of biologic factors that predict cancer outcome and response to treatment with better accuracy have led some cancer experts to question the utility of a TNM-based approach in clinical care at an individualized patient level. In the Eighth Edition of the AJCC Cancer Staging Manual, the goal of including relevant, nonanatomic (including molecular) factors has been foremost, although changes are made only when there is strong evidence for inclusion. The editorial board viewed this iteration as a proactive effort to continue to build the important bridge from a "population-based" to a more "personalized" approach to patient classification, one that forms the conceptual framework and foundation of cancer staging in the era of precision molecular oncology. The AJCC promulgates best staging practices through each new edition in an effort to provide cancer care providers with a powerful, knowledge-based resource for the battle against cancer. In this commentary, the authors highlight the overall organizational and structural changes as well as "what's new" in the Eighth Edition. It is hoped that this information will provide the reader with a better understanding of the rationale behind the aggregate proposed changes and the exciting developments in the upcoming edition. CA Cancer J Clin 2017;67:93-99. © 2017 American Cancer Society.

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          American Joint Committee on Cancer acceptance criteria for inclusion of risk models for individualized prognosis in the practice of precision medicine.

          The American Joint Committee on Cancer (AJCC) has increasingly recognized the need for more personalized probabilistic predictions than those delivered by ordinal staging systems, particularly through the use of accurate risk models or calculators. However, judging the quality and acceptability of a risk model is complex. The AJCC Precision Medicine Core conducted a 2-day meeting to discuss characteristics necessary for a quality risk model in cancer patients. More specifically, the committee established inclusion and exclusion criteria necessary for a risk model to potentially be endorsed by the AJCC. This committee reviewed and discussed relevant literature before creating a checklist unique to this need of AJCC risk model endorsement. The committee identified 13 inclusion and 3 exclusion criteria for AJCC risk model endorsement in cancer. The emphasis centered on performance metrics, implementation clarity, and clinical relevance. The facilitation of personalized probabilistic predictions for cancer patients holds tremendous promise, and these criteria will hopefully greatly accelerate this process. Moreover, these criteria might be useful for a general audience when trying to judge the potential applicability of a published risk model in any clinical domain. CA Cancer J Clin 2016;66:370-374. © 2016 American Cancer Society.
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            Author and article information

            Journal
            CA: A Cancer Journal for Clinicians
            CA: A Cancer Journal for Clinicians
            Wiley
            00079235
            March 2017
            March 2017
            January 17 2017
            : 67
            : 2
            : 93-99
            Affiliations
            [1 ]Professor and Chairman, UTHSC Gerwin Chair for Cancer Research, Department of Pathology and Laboratory Medicine; University of Tennessee Health Science Center; Memphis TN
            [2 ]Medical Director, Cancer Data Services; Levine Cancer Institute; Charlotte NC
            [3 ]Vice President, Healthcare Outcomes and Policy, Department of Cancer Prevention and Control; Roswell Park Cancer Institute; Buffalo NY
            [4 ]Professor of Oncology, Department of Surgical Oncology; Roswell Park Cancer Institute; Buffalo NY
            [5 ]Chief Medical Officer, Complex Adaptive Systems Initiative; Arizona State University; Scottsdale AZ
            [6 ]Professor of Laboratory Medicine and Pathology, Mayo Clinic; Rochester MN
            [7 ]Professor of Surgery and Cancer Biology, The University of Texas MD Anderson Cancer Center; Houston TX
            [8 ]Radiation Oncologist, Greater Baltimore Medical Center; Baltimore MD
            [9 ]Eighth Edition Project Manager and Managing Editor, American Joint Committee on Cancer; Chicago IL
            [10 ]Technical Specialist and Technical Editor, American Joint Committee on Cancer; Chicago IL
            [11 ]Section Chief of Surgical Oncology and Professor of Surgery, University of Washington; Seattle WA
            [12 ]Medical Director, American Joint Committee on Cancer; Chicago IL
            Article
            10.3322/caac.21388
            28094848
            95c4a508-64db-40ef-9022-44e0a735aad0
            © 2017

            http://doi.wiley.com/10.1002/tdm_license_1.1

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