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

被引:0
作者
Lehrer, Eric J. [1 ]
Khunsriraksakul, Chachrit [2 ]
Garrett, Sara [2 ]
Trifiletti, Daniel M. [3 ]
Sheehan, Jason P. [4 ]
Guckenberger, Matthias [5 ]
Louie, Alexander V. [6 ]
Siva, Shankar [7 ,8 ]
Ost, Piet [9 ,10 ,11 ]
Goodman, Karyn A. [12 ]
Dawson, Laura A. [13 ]
Tchelebi, Leila T. [14 ]
Yang, Jonathan T. [15 ]
Showalter, Timothy N. [16 ]
Park, Henry S. [17 ]
Spratt, Daniel E. [18 ]
Kishan, Amar U. [19 ]
Gupta, Gaorav P. [20 ]
Shah, Chirag [21 ]
Fanti, Stefano [22 ]
Calais, Jeremie [23 ]
Wang, Ming [24 ]
Schmitz, Kathryn [25 ]
Liu, Dajiang [26 ]
Abraham, John A. [27 ]
Dess, Robert T. [28 ]
Buvat, Irene [29 ]
Solomon, Benjamin [30 ]
Zaorsky, Nicholas G. [18 ]
机构
[1] Mayo Clin, Dept Radiat Oncol, 200 1st St SW, Rochester, MN 55905 USA
[2] Penn State Canc Inst, Dept Radiat Oncol, Hershey, PA USA
[3] Mayo Clin, Dept Hematol Oncol, Jacksonville, FL USA
[4] Univ Virginia, Dept Neurol Surg, Charlottesville, VA USA
[5] Univ Zurich, Univ Hosp Zurich, Dept Radiat Oncol, Zurich, Switzerland
[6] Sunnybrook Hlth Sci Ctr, Dept Radiat Oncol, Toronto, ON, Canada
[7] Univ Melbourne, Peter MacCallum Canc Ctr, Melbourne, Vic, Australia
[8] Univ Melbourne, Sir Peter MacCallum Dept Oncol, Melbourne, Vic, Australia
[9] GZA Ziekenhuizen, Iridium Network, Dept Radiat Oncol, Antwerp, Belgium
[10] Univ Ghent, Dept Human Struct & Repair, Ghent, Belgium
[11] GZA Ziekenhuizen, Iridium Network, Antwerp, Belgium
[12] Icahn Sch Med Mt Sinai, Dept Radiat Oncol, New York, NY USA
[13] Univ Toronto, Dept Radiat Oncol, Toronto, ON, Canada
[14] Northwell, New Hyde Pk, NY USA
[15] NYU, Sch Med, Dept Radiat Oncol, New York, NY USA
[16] Univ Virginia, Dept Radiat Oncol, Charlottesville, VA USA
[17] Yale Univ, Dept Therapeut Radiol, New Haven, CT USA
[18] Case Western Reserve Univ, Univ Hosp, Dept Radiat Oncol, Seidman Canc Ctr,Sch Med, Cleveland, OH USA
[19] Univ Calif Los Angeles, Dept Radiat Oncol, Los Angeles, CA USA
[20] Univ North Carolina, Dept Radiat Oncol, Chapel Hill, NC USA
[21] Allegheny Hlth Network, Dept Radiat Oncol, Pittsburgh, PA USA
[22] IRCCS AOU Bologna, Dept Nucl Med, Bologna, Italy
[23] Univ Calif Los Angeles, Dept Mol & Med Pharmacol, Los Angeles, CA USA
[24] Case Western Reserve Univ, Sch Med, Dept Populat & Quantitat Hlth Sci, Cleveland, OH USA
[25] Univ Pittsburgh, Dept Med, Pittsburgh, PA USA
[26] Penn State Coll Med, Dept Publ Hlth Sci, Hershey, PA USA
[27] Thomas Jefferson Univ, Rothman Inst, Philadelphia, PA USA
[28] Univ Michigan, Dept Radiat Oncol, Ann Arbor, MI USA
[29] PSL Univ, Inst Curie, Inserm, Lab Translat Imaging Oncol,, Orsay, France
[30] Univ Melbourne, Peter MacCallum Canc Ctr, Dept Med Oncol, Melbourne, Vic, Australia
基金
美国国家卫生研究院;
关键词
Metastases; Local treatment; Surgery; BODY RADIATION-THERAPY; LONG-TERM SURVIVAL; PHASE I/II TRIAL; PROGNOSTIC-FACTORS; PROSTATE-CANCER; BONE METASTASES; LUNG-CANCER; TUMOR; RADIOTHERAPY; ONCOLOGY;
D O I
10.1016/j.critrevonc.2025.104631
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
There is 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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页数:11
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