Evidence map›Paper›PMID 35143285›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2022

Clinical Models to Define Response and Survival With Anti-PD-1 Antibodies Alone or Combined With Ipilimumab in Metastatic Melanoma.

Inês Pires da Silva, Tasnia Ahmed, Jennifer L McQuade, Caroline A Nebhan, John J Park, Judith M Versluis, Patricio Serra-Bellver, Yasir Khan, Tim Slattery, Honey K Oberoi and 24 more

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In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
9.7field-weighted citation impact, top 1% of its field
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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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  11. Prognostic utility of the CALLY index in metastatic melanoma: building a nomogram for Patients on Anti-PD-1 therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  16. Pooled Long-Term Outcomes With Nivolumab Plus Ipilimumab or Nivolumab Alone in Patients With Advanced Melanoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
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  18. Early-time-pointRadiology and oncology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors at 17 institutions in 6 countries.

Inês Pires da SilvaMelanoma Institute Australia, The University of Sydney, Sydney, Australia.ORCID 0000-0003-3540-8906
Tasnia AhmedMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Jennifer L McQuadeThe University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-2393-2172
Caroline A NebhanVanderbilt University Medical Center, Nashville, TN.ORCID 0000-0002-9402-7284
John J ParkFaculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.ORCID 0000-0001-9290-8179
Judith M VersluisNetherlands Cancer Institute, Amsterdam, the Netherlands.
Patricio Serra-BellverThe Christie NHS Foundation Trust, Manchester, United Kingdom.ORCID 0000-0003-2664-902X
Yasir KhanThe Christie NHS Foundation Trust, Manchester, United Kingdom.ORCID 0000-0001-5100-0287
Tim SlatteryThe Royal Marsden NHS Foundation Trust, London, United Kingdom.
Honey K OberoiHospital Clinic, Barcelona & IDIBAPS, Barcelona, Spain.
Selma UgurelUniversity Hospital Essen, University of Duisburg-Essen, German Cancer Consortium, Partner Site Essen, Essen, Germany.ORCID 0000-0002-9384-6704
Lauren E HayduWestmead and Blacktown Hospitals, Sydney, Australia.ORCID 0000-0002-6360-0199
Rudolf HerbstHelios Klinikum Erfurt, Erfurt, Germany.ORCID 0000-0002-4238-9486
Jochen UtikalSkin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Claudia PföhlerSaarland University Medical Center, Homburg/Saar, Germany.
Patrick TerheydenDepartment of Dermatology, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-5894-1677
Michael WeichenthalUniversity Skin Cancer Center Kiel, University Hospital of Schleswig-Holstein, Kiel, Germany.ORCID 0000-0002-9060-4961
Ralf GutzmerSkin Cancer Center, Department of Dermatology, Mühlenkreiskliniken, Ruhr University Bochum Campus Minden, Minden, Germany.ORCID 0000-0001-7921-2820
Peter MohrElbe-Klinikum Buxtehude, Buxtehude, Germany.
Rajat RaiMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Jessica L SmithWestmead and Blacktown Hospitals, Sydney, Australia.
Richard A ScolyerMelanoma Institute Australia, The University of Sydney, Sydney, Australia.ORCID 0000-0002-8991-0013
Ana M AranceHospital Clinic, Barcelona & IDIBAPS, Barcelona, Spain.ORCID 0000-0003-2896-1957
Lisa PickeringThe Royal Marsden NHS Foundation Trust, London, United Kingdom.
James LarkinThe Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0001-5569-9523
Paul LoriganThe Christie NHS Foundation Trust, Manchester, United Kingdom.ORCID 0000-0002-8875-2164
Christian U BlankNetherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-7945-5846
Dirk SchadendorfUniversity Hospital Essen, University of Duisburg-Essen, German Cancer Consortium, Partner Site Essen, Essen, Germany.ORCID 0000-0003-3524-7858
Michael A DaviesThe University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-0977-0912
Matteo S CarlinoMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Douglas B JohnsonVanderbilt University Medical Center, Nashville, TN.ORCID 0000-0002-6390-773X
Georgina V LongMelanoma Institute Australia, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8894-3545
Serigne N LoMelanoma Institute Australia, The University of Sydney, Sydney, Australia.ORCID 0000-0001-5092-5544
Alexander M MenziesMelanoma Institute Australia, The University of Sydney, Sydney, Australia.ORCID 0000-0001-5183-7562
The University of Sydney · AURoyal Marsden NHS Foundation Trust · GBBlacktown & Mount Druitt Hospital · AUEssen University Hospital · DEHospital Clínic de Barcelona · ESThe Christie NHS Foundation Trust · GBThe Netherlands Cancer Institute · NLThe University of Texas MD Anderson Cancer Center · USVanderbilt University Medical Center · USChristian-Albrechts-Universität zu Kiel · DEElbe Kliniken Stade-Buxtehude · DEGerman Cancer Research Center · DEHelios Klinikum Erfurt · DEMacquarie University · AUSaarland University · DEUniversity of Lübeck · DEUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCurrently, there are no robust biomarkers that predict immunotherapy outcomes in metastatic melanoma. We sought to build multivariable predictive models for response and survival to anti-programmed cell death protein 1 (anti-PD-1) monotherapy or in combination with anticytotoxic T-cell lymphocyte-4 (ipilimumab [IPI]; anti-PD-1 ± IPI) by including routine clinical data available at the point of treatment initiation.

methodsOne thousand six hundred forty-four patients with metastatic melanoma treated with anti-PD-1 ± IPI at 16 centers from Australia, the United States, and Europe were included. Demographics, disease characteristics, and baseline blood parameters were analyzed. The end points of this study were objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). The final predictive models for ORR, PFS, and OS were determined through penalized regression methodology (least absolute shrinkage and selection operator method) to select the most significant predictors for all three outcomes (discovery cohort, N = 633). Each model was validated internally and externally in two independent cohorts (validation-1 [N = 419] and validation-2 [N = 592]) and nomograms were created.

resultsThe final model for predicting ORR (area under the curve [AUC] = 0.71) in immunotherapy-treated patients included the following clinical parameters: Eastern Cooperative Oncology Group Performance Status, presence/absence of liver and lung metastases, serum lactate dehydrogenase, blood neutrophil-lymphocyte ratio, therapy (monotherapy/combination), and line of treatment. The final predictive models for PFS (AUC = 0.68) and OS (AUC = 0.77) included the same variables as those in the ORR model (except for presence/absence of lung metastases), and included presence/absence of brain metastases and blood hemoglobin. Nomogram calculators were developed from the clinical models to predict outcomes for patients with metastatic melanoma treated with anti-PD-1 ± IPI.

conclusionNewly developed combinations of routinely collected baseline clinical factors predict the response and survival outcomes of patients with metastatic melanoma treated with immunotherapy and may serve as valuable tools for clinical decision making.

Indexed as

Lung NeoplasmsMelanomaNeoplasms, Second PrimaryHumansImmunotherapyIpilimumabProgression-Free SurvivalIpilimumab

Identifiers

PMID35143285
OpenAlexW4211025067

What OpenQuestion holds

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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.