Future directions in the evaluation and management of newly diagnosed metastatic cancer.

Eric J Lehrer, Chachrit Khunsriraksakul, Sara Garrett, Daniel M Trifiletti, Jason P Sheehan, Matthias Guckenberger, Alexander V Louie, Shankar Siva, Piet Ost, Karyn A Goodman, Laura A Dawson, Leila T Tchelebi, Jonathan T Yang, Timothy N Showalter, Henry S Park, Daniel E Spratt, Amar U Kishan, Gaorav P Gupta, Chirag Shah, Stefano Fanti, Jeremie Calais, Ming Wang, Kathryn Schmitz, Dajiang Liu, John A Abraham, Robert T Dess, Irène Buvat, Benjamin Solomon, Nicholas G Zaorsky
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Abstract

There is a much debate regarding optimal selection in patients with metastatic cancer who should undergo local treatment (surgery or radiation treatment) to the primary tumor and/or metastases. Additionally, the optimal treatment of newly diagnosed metastatic cancer is largely unclear. Current prognostication systems to best inform these clinical scenarios are limited, as all metastatic patients are grouped together as having Stage IV disease without further incorporation of patient and disease-specific covariates that significantly impact patient outcomes. Therefore, improving current prognostic scoring systems and incorporation of these covariates is essential to best individualize treatment for patients with metastatic cancer. In this narrative review article, we provide a detailed review of prognostication systems that can be used for both the site of metastasis and primary site to best tailor treatment in these patients. Additionally, we discuss the incorporation and ongoing developments in radiographic, genomic, and biostatistical techniques that can be used as prognostication tools.

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