Evidence map›Paper›PMID 42324568›Full record

ArticleCancer medicine2026

Concomitant Medication Effects on Immunotherapy Outcomes in Sarcoma: A Pooled Post Hoc Analysis of Seven Phase II Trials.

Adel Shahnam, Kristen DiConza, Simran Jasnani, Rhoena Desir-Camille, Evan Rosenbaum, Olayode Babatunde, Ciara M Kelly, Lauren B Banks, Viswatej Avutu, Ping Chi and 7 more

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Adel ShahnamDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-0043-8374
Kristen DiConzaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Simran JasnaniDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Rhoena Desir-CamilleDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Evan RosenbaumDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Olayode BabatundeDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Ciara M KellyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Lauren B BanksDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Viswatej AvutuDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Ping ChiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Sujana MovvaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Mark A DicksonDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Mrinal M GounderDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Mary L KeohanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Robert G MakiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
William D TapDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Sandra P D'AngeloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundConcomitant medications (CMs) influence outcomes in patients receiving immune checkpoint inhibitors (ICIs), but their impact in sarcoma remains undefined. We assessed the association between CM use and ICI outcomes in patients with advanced or metastatic sarcoma.

methodsThis pooled analysis included patients from seven investigator-initiated phase II trials of ICI-based therapy for sarcoma. CMs within 30 days of treatment were defined as baseline; on-treatment exposure was captured longitudinally. The primary endpoint was progression-free survival (PFS); secondary endpoints included overall survival (OS), objective response rate (ORR), and immune-related adverse events (irAEs). Multivariable Cox models adjusted for age, ECOG performance status, histological subtype, treatment regimen, and race.

resultsAmong 321 patients (median follow-up: 47.4 months), in time-dependent analyses, exposure to anti-infective medications was associated with shorter PFS (adjusted hazard ratio [aHR] 1.54, 95% CI 1.05-2.27). Baseline use of vitamins/minerals/supplements/herbal products was associated with longer PFS (aHR 0.73, 95% CI 0.56-0.95) and OS (aHR 0.67, 95% CI 0.51-0.89). Baseline statin use was associated with longer PFS (aHR 0.64, 95% CI 0.47-0.87) but not OS. Baseline use of opioids was associated with shorter OS (aHR 1.71, 95% CI 1.12-2.61). No CM class was significantly associated with ORR or irAE occurrence.

conclusionsCM use is associated with differential efficacy outcomes in sarcoma patients receiving ICIs. These findings highlight the need for prospective studies to define the impact of commonly prescribed medications on ICI outcomes and to optimize clinical trial stratification.

Indexed as

Immune Checkpoint InhibitorsImmunotherapySarcomaAdultAgedAntineoplastic Combined Chemotherapy ProtocolsClinical Trials, Phase II as TopicFemaleHumansMaleMiddle AgedProgression-Free SurvivalTreatment OutcomeImmune Checkpoint Inhibitorsconcomitant medicationsimmunotherapysarcoma

Identifiers

PMID42324568
PMCPMC13283910

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.