Evidence map›Paper›PMID 33665483›Full record

ArticleAdvances in radiation oncology

Control and Toxicity in Melanoma Versus Other Brain Metastases in Response to Combined Radiosurgery and PD-(L)1 Immune Checkpoint Inhibition.

Roman L Travis, Samuel R Marcrom, Matthew H Brown, Mayank P Patel, James M Markert, Kristen O Riley, Robert Conry, Christopher D Willey, Markus Bredel, John B Fiveash

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Predicting time to local failure after gamma knife radiosurgery for melanoma brain metastases using survival machine learning.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Roman L TravisDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Samuel R MarcromDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Matthew H BrownDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Mayank P PatelDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
James M MarkertDepartment of Neurosurgery, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Kristen O RileyDepartment of Neurosurgery, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Robert ConryDivision of Hematology and Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Christopher D WilleyDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Markus BredelDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
John B FiveashDepartment of Radiation Oncology, Department of Internal Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
University of Alabama at Birmingham · US

Funding

UAB CANCER RESEARCH EXPERIENCES FOR STUDENTS(CARES)R25CA076023 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SMITH, PETER R., WATERBOR, JOHN W · 1999 to 2020
$5.6M
NCI NIH HHS R25 CA076023
6 · The paper itself

Abstract

purposePrior studies have mixed conclusions about the efficacy and central nervous system (CNS) toxicity profile of combining radiosurgery with anti-programed cell death 1 (PD-1) immune checkpoint inhibition (ICI) for brain metastases. This study evaluates the safety and efficacy of combined radiosurgery and anti-PD-1 ICI for melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC) brain metastases (BM). METHODS AND MATERIALS: Forty-one patients with 153 radiation naïve melanoma BM and 33 patients with 118 BM of NSCLC and RCC origin from 2014 through 2019 received radiosurgery and either anti PD-1 receptor inhibition or anti PD-L1 inhibition targeting the PD-1 ligand with less than 4 months separating either therapy. Similar to Radiation Therapy Oncology Group 9005, high-grade CNS toxicity was defined as irreversible grade 3 or any grade 4/5 neurologic event. Salvage resection revealing necrosis and viable tumor was considered grade 4 toxicity and local failure. An increase in greatest cross-sectional diameter of 25% on contrasted magnetic resonance imaging was designated as a local failure.

resultsMedian follow-up was 10 months (range, 1-41 months). Local control was estimated to be 90.3% at 1 year. Distant control was 38.8% at 1 year, and neither local nor distant control were significantly influenced by limiting steroids to the day of treatment (

conclusionsStereotactic radiosurgery combined with anti-PD-1 ICI appears to result in a high rate of local tumor control and a low rate of high-grade CNS toxicity, comparable to historical series with radiosurgery alone. High-grade toxicity is more likely in melanoma than RCC and NSCLC. Coming prospective studies will shed light on further questions about treatment timing, steroids, and response.

Identifiers

PMID33665483
PMCPMC7897762
OpenAlexW3087558293

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.