Evidence map›Paper›PMID 39546307›Full record

ArticleThe oncologist2025

Immunotherapy benefits for large brain metastases in non-small cell lung cancer.

Narayanan Sadagopan, Edina Komlodi-Pasztor, Irina Veytsman

Abstract read
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Narayanan SadagopanMedStar Georgetown Cancer Institute, Department of Hematology and Oncology, Washington, DC 20010, United States.ORCID 0000-0002-1228-152X
Edina Komlodi-PasztorMedStar Georgetown Cancer Institute, Department of Hematology and Oncology, Washington, DC 20010, United States.
Irina VeytsmanMedStar Georgetown Cancer Institute, Department of Hematology and Oncology, Washington, DC 20010, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-small cell lung cancer (NSCLC) patients with large brain metastases (BrM) defined as >2 cm in diameter historically face grim prognoses. With immunotherapy emerging as a promising avenue for BrM management and being commonly used in NSCLC, its application in addressing large BrM remains underexplored.

methodsThis retrospective study conducted across the MedStar Georgetown Cancer Network aimed to assess the efficacy of immunotherapy in non-biomarker driven NSCLC patients with large BrM following initial treatment.

resultsThirty-six patients were included, all of whom underwent neurosurgery and/or radiation before commencing immunotherapy. The median intracranial progression-free survival (PFS) was 9.2 months and the median overall survival (OS) reached 31 months. Utilizing multivariable Cox penalized regression, the intracranial PFS hazard ratio (HR) was 0.07 (95% confidence interval (CI), 0.02-0.26) for patients who received at least 90 days of immunotherapy compared to those who did not. Each additional 30 days of immunotherapy was associated with an OS HR 0.77 (95% CI, 0.67-0.90).

conclusionThis real-world data highlights the potential of immunotherapy in large BrM NSCLC patients, a population often excluded from clinical trials. This study contributes insights that can inform future treatment approaches, emphasizing the need for further exploration of immunotherapy's role in enhancing outcomes for this challenging patient population.

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungImmunotherapyLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective Studiesbrain metastasesimmunotherapynon-small cell lung cancerreal-world data

Identifiers

PMID39546307
PMCPMC12395241

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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.