Evidence map›Paper›PMID 38260223›Full record

ArticleAdvances in radiation oncology2024

Multicenter Evaluation of Radiation and Immune Checkpoint Inhibitor Therapy in Mucosal Melanoma and Review of Recent Literature.

Alicia C Smart, Anita Giobbie-Hurder, Vineet Desai, Jessica L Xing, John N Lukens, Neil K Taunk, Ryan J Sullivan, Meghan J Mooradian, Charles C Hsu, Elizabeth I Buchbinder and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Focal radiotherapy improves CAR T cell therapy targeting prostate cancer.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Primary melanoma of the gastrointestinal tract.World journal of gastroenterology · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. In Reply to Fabi.Advances in radiation oncology · 2024
    Article
  12. In Regard to Smart et al.Advances in radiation oncology · 2024
    Article
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

11 authors at 6 institutions in 1 country.

Alicia C SmartDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, Massachusetts.
Anita Giobbie-HurderDivision of Biostatistics, Department of Data Science, Dana Farber Cancer Institute, Boston, Massachusetts.
Vineet DesaiHarvard Medical School, Boston, Massachusetts.
Jessica L XingDepartment of Radiation Oncology, University of Arizona, Tucson, Arizona.
John N LukensDepartment of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Neil K TaunkDepartment of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Ryan J SullivanDepartment of Hematology Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts.
Meghan J MooradianDepartment of Hematology Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts.
Charles C HsuDepartment of Radiation Oncology, University of Arizona, Tucson, Arizona.
Elizabeth I BuchbinderDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts.
Jonathan D SchoenfeldDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute, Boston, Massachusetts.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHospital of the University of Pennsylvania · USMassachusetts General Hospital · USUniversity of Arizona · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Optimal integration of local therapy and systemic immune therapy for patients with mucosal melanoma (MM) is uncertain. We evaluated treatment patterns and outcomes following radiation therapy (RT) in combination with immune checkpoint inhibition (ICI) in MM. Methods and Materials: Thirty-seven patients with localized (n = 32, 87%) or node-positive (n = 5, 14%) MM were treated across 4 institutions with RT to the primary tumor with or without oncologic resection (n = 28, 76%) and ICI from 2012 to 2020. Recurrence rates were estimated using cumulative incidence in the presence of the competing risk of death. Results: Mucosal sites were head/neck (n = 29, 78%), vaginal (n = 7, 19%), and anorectal (n = 1, 3%). Patients received ICI prior to or concurrent with RT (n = 14, 38%), following RT (n = 5, 14%), or at recurrence (n = 18, 49%). The objective response rate for evaluable patients was 31% for ICI as initial treatment (95% CI, 11%-59%) and 19% for ICI at recurrence (95% CI, 4%-46%). Median follow-up was 26 months for living patients; median overall survival (OS) was 54 months (95% CI, 31 months-not reached). Two-year OS was 85%; distant metastasis-free survival 44%. The 2-year cumulative incidence of local recurrence (LR) was 26% (95% CI, 13%-41%). For 9 patients with unresectable disease, 2-year OS was 88% (95% CI, 35%-98%); LR was 25% (95% CI, 3%-58%). For 5 patients with positive nodes at diagnosis, 2-year OS was 100%; LR was 0%. Conclusions: High rates of local control were achieved with RT with or without oncologic resection and ICI for localized and locally advanced MM. In particular, favorable local control was possible even for patients with unresectable or node-positive disease. Although risk of distant failure remains high, patients with MM may benefit from aggressive local therapy including RT in the setting of immunotherapy treatment.

Identifiers

PMID38260223
PMCPMC10801653
OpenAlexW4383671842

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.