Evidence map›Paper›PMID 39308633›Full record

ArticleClinical and translational radiation oncology2024

Durable local control with hypofractionated radiation therapy for unresectable or metastatic melanoma.

Sydney A Keatts, Aya F Salem, David M Swanson, Ahsan S Farooqi, Andrew J Bishop, Rodabe N Amaria, Jennifer L McQuade, Isabella C Glitza Oliva, Adi Diab, Roi Weiser and 5 more

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Sydney A KeattsDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Aya F SalemDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
David M SwansonDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ahsan S FarooqiDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Andrew J BishopDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Rodabe N AmariaDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Jennifer L McQuadeDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Isabella C Glitza OlivaDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Adi DiabDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Roi WeiserDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Sarah B FisherDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ryan P GoepfertDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Merrick I RossDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
B Ashleigh GuadagnoloDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Devarati MitraDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Institutional Career Development CoreKL2TR003168 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MILLER, CHARLES C · 2019 to 2023
$4.9M
NCATS NIH HHS KL2 TR003168NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Background and purpose: As patients with advanced melanoma live longer in the context of systemic therapy advancements, better strategies for durable control of bulky tumors are needed. In this study, we evaluated if dose-escalated hypofractionated radiation therapy (HFRT) can provide durable local control and improve tumor-associated symptoms in patients with unresectable or bulky metastatic melanoma for whom stereotactic ablative radiotherapy (RT) approaches are not feasible due to tumor size or location. Materials and methods: We retrospectively reviewed 49 patients with unresectable or bulky metastatic melanoma who were treated to a total of 53 tumor targets with 12-17 fractions HFRT at our institution between 2015-2022. Clinical scenarios included: unresectable, locoregional only disease (26 %); oligometastatic disease (<3 total sites, 17 %); oligoprogressive disease (<3 sites progressing, 17 %); and aggressive palliation (>5 known sites of disease or with at least 3 sites progressing, 40 %). Results: Of the 53 HFRT targets, 91 % (n = 48) had radiographic evidence of response as defined by either stabilization (6 %, n = 3), decreased size (74 %, n = 39), or decreased FDG avidity (11 %, n = 6). Of the 43 symptomatic patients, 98 % (n = 42) had symptomatic improvement. One -year local control was 79 %, with 2-year progression-free and overall survival of 33 % and 39 % respectively. The most common acute toxicities were radiation dermatitis (16 %, n = 8) or a pain flare (14 %, n = 7). Late toxicities were uncommon and typically grade 1. Conclusion: HFRT provides favorable local control and symptomatic relief with limited toxicity in tumors not amenable to surgical resection or stereotactic ablative RT.

Identifiers

PMID39308633
PMCPMC11415805

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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.