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CA: A Cancer Journal for Clinicians | 2017

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

Mahul B. Amin; Frederick L. Greene; Stephen B. Edge; Carolyn C. Compton; Jeffrey E. Gershenwald; Robert K. Brookland; Laura R. Meyer; Donna M. Gress; David R. Byrd; David P. Winchester

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 “whats 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.


Journal of Thoracic Oncology | 2015

Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools

Alyson L. Mahar; Carolyn C. Compton; Lisa M. McShane; Susan Halabi; Hisao Asamura; Ramón Rami-Porta; Patti A. Groome

Introduction: Accurate, individualized prognostication for lung cancer patients requires the integration of standard patient and pathologic factors, biological, genetic, and other molecular characteristics of the tumor. Clinical prognostic tools aim to aggregate information on an individual patient to predict disease outcomes such as overall survival, but little is known about their clinical utility and accuracy in lung cancer. Methods: A systematic search of the scientific literature for clinical prognostic tools in lung cancer published from January 1, 1996 to January 27, 2015 was performed. In addition, web-based resources were searched. A priori criteria determined by the Molecular Modellers Working Group of the American Joint Committee on Cancer were used to investigate the quality and usefulness of tools. Criteria included clinical presentation, model development approaches, validation strategies, and performance metrics. Results: Thirty-two prognostic tools were identified. Patients with metastases were the most frequently considered population in non–small-cell lung cancer. All tools for small-cell lung cancer covered that entire patient population. Included prognostic factors varied considerably across tools. Internal validity was not formally evaluated for most tools and only 11 were evaluated for external validity. Two key considerations were highlighted for tool development: identification of an explicit purpose related to a relevant clinical population and clear decision points and prioritized inclusion of established prognostic factors over emerging factors. Conclusions: Prognostic tools will contribute more meaningfully to the practice of personalized medicine if better study design and analysis approaches are used in their development and validation.


Journal of Surgical Oncology | 2017

Personalizing prognosis in colorectal cancer: A systematic review of the quality and nature of clinical prognostic tools for survival outcomes

Alyson L. Mahar; Carolyn C. Compton; Susan Halabi; Kenneth R. Hess; Martin R. Weiser; Patti A. Groome

Integrating diverse types of prognostic information into accurate, individualized estimates of outcome in colorectal cancer is challenging. Significant heterogeneity in colorectal cancer prognostication tool quality exists. Methodology is incompletely or inadequately reported. Evaluations of the internal or external validity of the prognostic model are rarely performed. Prognostication tools are important devices for patient management, but tool reliability is compromised by poor quality. Guidance for future development of prognostication tools in colorectal cancer is needed.


AJCC Cancer Staging Manual | 2016

Cervical Lymph Nodes and Unknown Primary Tumors of the Head and Neck

Snehal G. Patel; William M. Lydiatt; John A. Ridge; Christine M. Glastonbury; Suresh Mukherji; Ronald A. Ghossein; Margaret Brandwein-Gensler; Raja R. Seethala; A. Dimitrios Colevas; Bruce H. Haughey; Brian O’Sullivan; Jatin P. Shah; Mahul B. Amin; Stephen B. Edge; Frederick L. Greene; David R. Byrd; Robert K. Brookland; Mary Kay Washington; Jeffrey E. Gershenwald; Carolyn C. Compton; Kenneth R. Hess; Daniel C. Sullivan; J. Milburn Jessup; James D. Brierley; Lauri E. Gaspar; Richard L. Schilsky; Charles M. Balch; David P. Winchester; Elliot A. Asare; Martin Madera

Risk Assessment Models The AJCC recently established guidelines that will be used to evaluate published statistical prediction models for the purpose of granting endorsement for clinical use. Although this is a monumental step toward the goal of precision medicine, this work was published only very recently. Therefore, the existing models that have been published or may be in clinical use have not yet been evaluated for this cancer site by the Precision Medicine Core of the AJCC. In the future, the statistical prediction models for this cancer site will be evaluated, and those that meet all AJCC criteria will be endorsed.


AJCC Cancer Staging Manual | 2016

Soft Tissue Sarcoma of the Head and Neck

Brian O’Sullivan; Robert G. Maki; Mark Agulnik; Snehal G. Patel; Alexander J. Lazar; Robin L Jones; Erich M. Sturgis; Raphael E. Pollock; Mahul B. Amin; Stephen B. Edge; Frederick L. Greene; David R. Byrd; Robert K. Brookland; Mary Kay Washington; Jeffrey E. Gershenwald; Carolyn C. Compton; Kenneth R. Hess; Daniel C. Sullivan; J. Milburn Jessup; James D. Brierley; Lauri E. Gaspar; Richard L. Schilsky; Charles M. Balch; David P. Winchester; Elliot A. Asare; Martin Madera; Donna M. Gress; Laura R. Meyer

Risk Assessment Models The AJCC recently established guidelines that will be used to evaluate published statistical prediction models for the purpose of granting endorsement for clinical use. Although this is a monumental step toward the goal of precision medicine, this work was published only very recently. Therefore, the existing models that have been published or may be in clinical use have not yet been evaluated for this cancer site by the Precision Medicine Core of the AJCC. In the future, the statistical prediction models for this cancer site will be evaluated, and those that meet all AJCC criteria will be endorsed.


Archive | 2007

Sarcomi dei tessuti molli

Frederick L. Greene; Carolyn C. Compton; April G. Fritz; Jatin P. Shah; David P. Winchester

 Lo studio dell’Istituto Nazionale dei Tumori di Milano (INT) pubblicato sul numero di marzo dell’European Journal of Cancer cambierà lo stato dell’arte sulla chemioterapia adiuvante nei sarcomi dei tessuti molli, nel caso di pazienti con patologia nelle fasce di rischio più alte  Ad oggi, l’efficacia della chemioterapia nei pazienti con sarcomi localizzati e candidati ad intervento chirurgico è ancora in discussione, probabilmente perché gli studi non sono stati in grado di selezionare la giusta popolazione da trattare  I sarcomi dei tessuti molli sono un gruppo di tumori rari che colpiscono ogni anno circa 5 persone ogni 100.000, con un numero di pazienti che in Italia si aggira intorno a 3.500


Annals of Surgical Oncology | 2016

Critical Assessment of Clinical Prognostic Tools in Melanoma

Alyson L. Mahar; Carolyn C. Compton; Susan Halabi; Kenneth R. Hess; Jeffrey E. Gershenwald; Richard A. Scolyer; Patti A. Groome


Archive | 2006

Carcinoma of the Skin (Excluding Eyelid, Vulva, and Penis)

Frederick L. Greene; Carolyn C. Compton; April G. Fritz; Jatin P. Shah; David P. Winchester


AJCC Cancer Staging Manual | 2016

Lacrimal Gland Carcinoma

Valerie A. White; Bita Esmaeli; Jonathan J. Dutton; Steffen Heegaard; Vivian T. Yin; Wolfgang A. G. Sauerwein; Sarah E. Coupland; Paul T. Finger; Mahul B. Amin; Stephen B. Edge; Frederick L. Greene; David R. Byrd; Robert K. Brookland; Mary Kay Washington; Jeffrey E. Gershenwald; Carolyn C. Compton; Kenneth R. Hess; Daniel C. Sullivan; J. Milburn Jessup; James D. Brierley; Lauri E. Gaspar; Richard L. Schilsky; Charles M. Balch; David P. Winchester; Elliot A. Asare; Martin Madera; Donna M. Gress; Laura R. Meyer


AJCC Cancer Staging Manual | 2016

Organization of the AJCC Cancer Staging Manual

Mahul B. Amin; Stephen B. Edge; Frederick L. Greene; David R. Byrd; Robert K. Brookland; Mary Kay Washington; Jeffrey E. Gershenwald; Carolyn C. Compton; Kenneth R. Hess; Daniel C. Sullivan; J. Milburn Jessup; James D. Brierley; Laurie E. Gaspar; Richard L. Schilsky; Charles M. Balch; David P. Winchester; Elliot A. Asare; Martin Madera; Donna M. Gress; Laura R. Meyer; Lauri E. Gaspar

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David P. Winchester

American College of Surgeons

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Jatin P. Shah

Memorial Sloan Kettering Cancer Center

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David R. Byrd

University of Washington

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Jeffrey E. Gershenwald

University of Texas MD Anderson Cancer Center

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Kenneth R. Hess

University of Texas MD Anderson Cancer Center

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Mahul B. Amin

University of Tennessee Health Science Center

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Robert K. Brookland

Greater Baltimore Medical Center

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Charles M. Balch

University of Texas MD Anderson Cancer Center

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