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2017
DOI: 10.1016/j.ijrobp.2017.06.2454
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Estimating Survival in Melanoma Patients With Brain Metastases: An Update of the Graded Prognostic Assessment for Melanoma Using Molecular Markers (Melanoma-molGPA)

Abstract: Survival and our ability to estimate survival in melanoma patients with brain metastases has improved significantly. The updated Melanoma-molGPA, a user-friendly tool to estimate survival, will facilitate clinical decision making regarding whether and which treatment is appropriate and will also be useful for stratification of future clinical trials. To further simplify use, a free online/smart phone app is available at brainmetgpa.com.

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Cited by 170 publications
(167 citation statements)
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References 15 publications
(19 reference statements)
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“…The well-known problem of these scoring systems is their limited ability to predict an individual patient's prognosis. Even the most recent scores, such as the lung and melanoma molGPA [20,21], which integrate molecular features, include several long-term survivors in the group with unfavorable prognosis, and early deaths in the two more favorable groups.…”
Section: Discussionmentioning
confidence: 99%
“…The well-known problem of these scoring systems is their limited ability to predict an individual patient's prognosis. Even the most recent scores, such as the lung and melanoma molGPA [20,21], which integrate molecular features, include several long-term survivors in the group with unfavorable prognosis, and early deaths in the two more favorable groups.…”
Section: Discussionmentioning
confidence: 99%
“…According to clinical and imaging data, central nervous system (CNS) metastases were found in 2-20% of patients and in 36-54% of cases according to autopsy studies [1]. The median overall survival for patients with melanoma brain metastases is 9.8 months [2]. Several treatments have been shown to significantly improve the life expectancy in these patients.…”
Section: Introductionmentioning
confidence: 99%
“…Several prognostic indices exist for patients with BMs, which evolved from a recursive partitioning analysis that divided patients into 3 prognostic classes based on performance status (PS), extent/control of extracranial disease, and age to the graded prognostic analysis (GPA) by adding the number of BMs. Next, diagnosis‐specific GPAs for lung, melanoma, renal cell, breast, and gastrointestinal cancers were created; and, finally, molecular markers were added to develop molecular GPAs for non–small‐cell lung cancer (NSCLC) and melanoma . Although the clinical value of these tools has been limited and overall performance status tends to drive clinical management, they serve to better educate the patient and enable a more informed understanding of the potential risks and benefits of the various treatment modalities.…”
Section: Prognostic Assessmentmentioning
confidence: 99%
“…Next, diagnosis-specific GPAs for lung, melanoma, renal cell, breast, and gastrointestinal cancers were created; and, finally, molecular markers were added to develop molecular GPAs for non-small-cell lung cancer (NSCLC) and melanoma. 14,15 Although the clinical value of these tools has been limited and overall performance status tends to drive clinical management, they serve to better educate the patient and enable a more informed understanding of the potential risks and benefits of the various treatment modalities.…”
Section: Introductionmentioning
confidence: 99%