Evidence map›Paper›PMID 39699928›Full record

ArticleOncoimmunology2025

Circulating cytokine associations with clinical outcomes in melanoma patients treated with combination nivolumab plus ipilimumab.

Jiajia Chen, Giuseppe Tarantino, Mariano Severgnini, Joanna Baginska, Anita Giobbie-Hurder, Jason L Weirather, Michael Manos, Janice D Russell, Kathleen L Pfaff, Scott J Rodig and 9 more

Abstract read
In one paragraph

Article in Oncoimmunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. 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

19 authors.

Jiajia ChenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Giuseppe TarantinoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Mariano SevergniniCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Joanna BaginskaCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Anita Giobbie-HurderDivision of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
Jason L WeiratherCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Michael ManosDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Janice D RussellDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Kathleen L PfaffCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Scott J RodigCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Amy Y HuangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Ryan BrennickCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Matthew NazzaroCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Emma HathawayCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Marta HolovatskaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Claire ManuszakCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Srinika RanasingheCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
David LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
F Stephen HodiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.

Funding

Dissecting Therapeutic Resistance and Progression in Metastatic Melanoma Through Clinical Computational OncologyK08CA234458 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LIU, DAVID · 2018 to 2022
$1.2M
NCI NIH HHS K08 CA234458
6 · The paper itself

Abstract

Nivolumab plus ipilimumab (aCTLA-4/aPD-1) combination therapy has significantly improved clinical outcomes in patients with metastatic melanoma, with 50%-60% of patients responding to treatment, but predictors of response are poorly characterized. We hypothesized that circulating cytokines and peripheral white blood cells may predict response to therapy and evaluated 15 cytokines and complete blood counts (CBC with differentials) from 89 patients with advanced melanoma treated with combination therapy from three points in time: pre-treatment, one month and approximately three months after starting therapy. Clinical endpoints evaluated included durable clinical benefit (DCB), progression-free survival (PFS), and overall survival (OS). A parsimonious predictive model was developed to identify cytokines predictors of response to combination therapy. In this study, we found that pre-treatment, patients with DCB had higher IL-23, lower CXCL6, and lower IL-10 levels. Lower NLR one month after starting therapy predicted better PFS and OS, primarily driven by an increase in absolute lymphocytes. A multivariate model demonstrated that baseline CXCL6, IL-10, IL-23 were independent predictors of therapy response, and the combined model has reached an area under the curve (AUC) of 0.79 in prediction of response to combination therapy. Our study identified baseline CXCL6, IL-23, and IL-10 as predictors of response to aCTLA4/aPD1 combination therapy among patients with metastatic melanoma. This study also provides a framework for identifying patients who are likely to respond to combination ICB, as well as a subset of patients with high risk of developing resistance and are thus in need of alternative therapeutic options, such as clinical trials.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCytokinesIpilimumabMelanomaNivolumabAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSkin NeoplasmsTreatment OutcomeCytokinesIpilimumabNivolumabbiomarkers for immunotherapyCheckpoint blockadecombination immunotherapycytokinesmelanomatranslational research

Identifiers

PMID39699928
PMCPMC11660408

What OpenQuestion holds

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LicenceCC BY-NC
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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.