Evidence map›Paper›PMID 39762076›Full record

ArticleJournal for immunotherapy of cancer2025

Nivolumab plasma concentration and clearance associated with overall survival in patients with renal cell carcinoma.

Christophe Maritaz, David Combarel, Cécile Dalban, Louis Blondel, Sophie Broutin, Aurelien Marabelle, Laurence Albiges, Angelo Paci

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Personalizing chronotherapy of immune checkpoint blockade.Journal for immunotherapy of cancer · 2025
    Article
  6. Article
  7. Review
  8. 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

8 authors.

Christophe MaritazParis-Saclay University, Gif-sur-Yvette, Île-de-France, France.ORCID http://orcid.org/0000-0002-5352-337X
David CombarelParis-Saclay University, Gif-sur-Yvette, Île-de-France, France.
Cécile DalbanBiostatistics Department, Centre Leon Berard, Lyon, Auvergne-Rhône-Alpes, France.
Louis BlondelGustave Roussy, Villejuif, Île-de-France, France.
Sophie BroutinGustave Roussy, Villejuif, Île-de-France, France.
Aurelien MarabelleGustave Roussy, Villejuif, Île-de-France, France.ORCID http://orcid.org/0000-0002-5816-3019
Laurence AlbigesGustave Roussy, Villejuif, Île-de-France, France.
Angelo PaciParis-Saclay University, Gif-sur-Yvette, Île-de-France, France angelo.paci@gustaveroussy.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNivolumab is an immune checkpoint inhibitor (ICI) that selectively inhibits programmed cell death protein 1 activation, restoring antitumor immunity. ICIs are indicated for various types of advanced solid tumors; however, not all patients benefit from them, and tools that could be used in the clinic to predict response to treatment represent an unmet need. Here we describe the development of a new population pharmacokinetic (PPK) model in patients treated with nivolumab in clinical trials. Applying the model to a patient population with renal cell carcinoma identified nivolumab clearance and plasma concentration as predictors of overall survival (OS).

methodsA custom liquid chromatography with tandem mass spectrometry method for quantifying nivolumab plasma concentration was developed and validated following the European Medicines Agency guidelines for bioanalytical method validation. The PPK model was developed using data from patients treated in the NIVIPIT (n=38) and NIVOREN (n=137) trials of nivolumab in metastatic melanoma and renal cell carcinoma, respectively. The PPK model was used to determine pharmacokinetic (PK) parameters such as baseline clearance and simulate individual clearance changes over time. The relationship between PK characteristics (including clearance at Cycle 1 (CLC1), plasma concentration at Cycle 3 and clinical outcomes was assessed in 137 patients treated in NIVOREN. Kaplan-Meier methodology was used in time-to-event analyses.

resultsIn 137 patients, the median nivolumab CLC1 was 6 mL/hour and the median plasma concentration at Cycle 3 was 48 µg/mL. Median follow-up was 21.0 months (95% CI 20.2 to 22.5 months) with a survival rate at 6 months of 91.2% and 77.9% at 12 months. In univariate analysis, OS was significantly higher in patients with CLC1<6 mL/hour versus ≥6 mL/hour (HR 2.2 (95% CI 1.2 to 4.1), p=0.0146). Shorter OS was observed in patients with plasma concentration at Cycle 3 below the median (48 µg/mL) versus those above the median (HR 0.4 (95% CI 0.2 to 0.8), p=0.0069). Multivariate analysis showed a trend towards lower clearance, but this did not reach statistical significance (p=0.0694).

conclusionsResults of the study may potentially be used to predict outcomes of nivolumab therapy in patients with renal cell carcinoma. Additional applications may include guiding dose adjustments of nivolumab in those who are less likely to respond to the initial dose.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNivolumabAdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedAntineoplastic Agents, ImmunologicalImmune Checkpoint InhibitorsNivolumabBiomarkerNivolumabPharmacokinetics - PK

Identifiers

PMID39762076
PMCPMC11749330

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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.