2017
DOI: 10.1001/jamaoncol.2016.3834
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Estimating Survival in Patients With Lung Cancer and Brain Metastases

Abstract: In recent years, patient survival and physicians' ability to predict survival in NSCLC with brain metastases has improved significantly. The updated Lung-molGPA incorporating gene alteration data into the DS-GPA is a user-friendly tool that may facilitate clinical decision making and appropriate stratification of future clinical trials.

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Cited by 533 publications
(172 citation statements)
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“…Similar to the general population, ALK mutations were rare in our cohort. However, the importance of accounting for molecular features of NSCLC is highlighted in recent studies arguing for updates to clinical metrics including the GPA [26]. Spertudo and colleagues (2017) propose the lung-mol-GPA, a modified GPA metric that includes ALK and EGFR mutations statuses.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to the general population, ALK mutations were rare in our cohort. However, the importance of accounting for molecular features of NSCLC is highlighted in recent studies arguing for updates to clinical metrics including the GPA [26]. Spertudo and colleagues (2017) propose the lung-mol-GPA, a modified GPA metric that includes ALK and EGFR mutations statuses.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, it would be of value to evaluate whether advanced imaging techniques or radiomics analyses cannot only discriminate between real progression and pseudoprogression, but also can be predictive for response on ICI. Prognostic scores such as the Recursive Partitioning Analysis (RPA) score, disease specific -Graded Prognostic Assessment (ds-GPA) and the molecular-GPA are validated for NSCLC BM patients but these scores were established before the use of ICI [91][92][93][94]. It would be of interest to validate these scores also for BM patients treated with ICI.…”
Section: Future Directionsmentioning
confidence: 99%
“…In general, predictive models have evolved in recent years. For example, Sperduto et al have published improved versions of their original diagnosis-specific graded prognostic assessment (DS-GPA) [18][19][20]. Berghoff et al used previously underappreciated, inexpensive standard test results to create the now validated LabBM score [22].…”
Section: Discussionmentioning
confidence: 99%
“…Initially, they were heavily based on performance status and extracranial disease extent or control, and not stratified by primary cancer type. More recently, specific tumor characteristics have been integrated, e.g., in the molecular lung cancer score, renal cell cancer score, and melanoma score [18][19][20]. In parallel, it has also been realized that blood biomarkers such as serum lactate dehydrogenase (LDH) and albumin, as well as hemoglobin and C-reactive protein (CRP), may contribute to improved survival prediction models [21].…”
Section: Introductionmentioning
confidence: 99%