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William D. Travis

Researcher at Memorial Sloan Kettering Cancer Center

Publications -  13
Citations -  1128

William D. Travis is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Lung cancer & Lung cancer staging. The author has an hindex of 8, co-authored 13 publications receiving 786 citations. Previous affiliations of William D. Travis include University of Tsukuba & Kettering University.

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Journal ArticleDOI

The IASLC Lung Cancer Staging Project: Proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part-Solid Tumors in the Forthcoming Eighth Edition of the TNM Classification of Lung Cancer

William D. Travis, +78 more
TL;DR: Codes for the primary tumor categories of AIS and minimally invasive adenocarcinoma (MIA) and a uniform way to measure tumor size in part‐solid tumors for the eighth edition of the tumor, node, and metastasis classification of lung cancer are proposed.
Journal ArticleDOI

Molecular characterization of inflammatory myofibroblastic tumors with frequent ALK and ROS1 gene fusions and rare novel RET rearrangement.

TL;DR: EML4-ALK inversion and ROS1 fusions emerge as common fusion abnormalities in IMT, closely recapitulating the pattern seen in lung cancer, offering a rationale for targeted therapeutic strategies.
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The IASLC Lung Cancer Staging Project: Methodology and Validation Used in the Development of Proposals for Revision of the Stage Classification of NSCLC in the Forthcoming (Eighth) Edition of the TNM Classification of Lung Cancer

Frank C. Detterbeck, +164 more
TL;DR: An extensive analysis has produced stage classification proposals for lung cancer with a robust degree of discriminatory consistency and general applicability and external validation is encouraged to identify areas of strength and weakness.
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The IASLC Lung Cancer Staging Project: Analysis of Resection Margin Status and Proposals for Residual Tumor Descriptors for Non-Small Cell Lung Cancer.

John G. Edwards, +144 more
TL;DR: R descriptors have prognostic relevance with R(un) survival stratifying between R0 and R1, and a detailed evaluation of R factor is of particular importance in the design and analyses of clinical trials of adjuvant therapies.