Evidence map›Paper›PMID 42378716›Full record

ArticleESMO open2026

Higher rates of immune-related adverse events in circulating tumor DNA (ctDNA)-negative patients following adjuvant checkpoint inhibitor therapy.

T Powles, K Madjar, B I Balas, C Carter, L Essioux, A Tehrani, S Mariathasan, D Heinzmann, F Arellano, R Mohindra and 1 more

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

T PowlesQueen Mary University of London, London, UK.
K MadjarF. Hoffmann-La Roche Ltd., Basel, Switzerland.
B I BalasF. Hoffmann-La Roche Ltd., Basel, Switzerland.
C CarterGenentech, Inc., South San Francisco, USA.
L EssiouxF. Hoffmann-La Roche Ltd., Basel, Switzerland.
A TehraniGenentech, Inc., South San Francisco, USA.
S MariathasanGenentech, Inc., South San Francisco, USA.
D HeinzmannF. Hoffmann-La Roche Ltd., Basel, Switzerland.
F ArellanoF. Hoffmann-La Roche Ltd., Basel, Switzerland.
R MohindraF. Hoffmann-La Roche Ltd., Basel, Switzerland.
G S ChandlerF. Hoffmann-La Roche Ltd., Basel, Switzerland. Electronic address: g_scott.chandler@roche.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIMvigor010 demonstrated potential for circulating tumor DNA (ctDNA) to guide treatment in muscle-invasive urothelial carcinoma (MIUC), in which adjuvant atezolizumab (AA) reduced the risk of death by approximately 40% in ctDNA-positive patients. However, ctDNA-negative patients received no survival benefit from AA and had higher rates of immune-related adverse events (irAEs). Here, we further explore the relationship between ctDNA and irAEs. PATIENTS AND

methodsAssociation between baseline (BL) and on-treatment (OT) ctDNA and time to first irAE was assessed in MIUC patients treated with AA (n = 384) versus observation (n = 397). Cox proportional hazard model was used with adjustment for BL covariates, sensitivity analyses were carried out at 6 months to address survival bias, and landmark analysis was carried out at day (D) 43 for patients with OT ctDNA.

resultsAll grade irAE rates were higher in AA patients with negative BL ctDNA versus positive (54.7% versus 32.5%, respectively) and mainly driven by low-grade irAEs [hazard ratio (HR) 1.91 (1.25; 2.90)]. irAE rates decreased with increasing ctDNA levels as a continuous variable [ctDNA log-MTM/ml: HR 0.92 (0.87; 0.97)]. There was no association with BL ctDNA and high-grade irAEs [HR 0.87 (0.38; 1.98)], but discontinuation for AEs was higher in BL ctDNA-negative patients versus positive (3.3% versus 0%). Patients who cleared OT ctDNA after D43 had no association between ctDNA and irAEs versus non-clearance [HR 1.13 (0.35; 3.59)]. Patients who progressed to positive ctDNA after D43 did not experience any irAEs versus non-progressors.

conclusionsLow-grade irAEs and discontinuation due to AEs were higher in ctDNA-negative patients receiving AA despite the lack of a survival benefit. Continued evaluation of the potential role of ctDNA is warranted, as it may help identify patients who may be curable with only local therapy and where additional systemic treatment may only increase toxicity without improving survival.

Indexed as

Antibodies, Monoclonal, HumanizedCirculating Tumor DNAImmune Checkpoint InhibitorsUrinary Bladder NeoplasmsAgedChemotherapy, AdjuvantFemaleHumansMaleMiddle AgedAntibodies, Monoclonal, HumanizedatezolizumabCirculating Tumor DNAImmune Checkpoint InhibitorsctDNAimmune checkpoint inhibitorimmune-related adverse event

Identifiers

PMID42378716
PMCPMC13332462

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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.