search

menu

  • Research Research
    • Where science meets inspired minds

    • Back
    • Research
    • Our Science
    • Research Groups
    • Facilities & Platforms
    • Clinical research
    • Find a researcher
    • Publications
    • Knowledge Transfer
  • Careers & study Careers & study
    • Become a leader in cancer research

    • Back
    • Careers & study
    • Vacancies
    • Faculty
    • Scientific staff
    • Scientific support staff
    • Postdoctoral fellows
    • PhD Students
    • Operational staff
    • Clinical fellows
    • Life in Amsterdam
    • Student internships
  • News & Events News & Events
    • Check out our stories and events

    • Back
    • News & Events
    • News
    • Media & Press
    • Calendar
  • About us About us
    • Maximum impact for cancer patients

    • Back
    • About us
    • Our vision
    • Organization
    • Collaborations
    • Responsible Research
    • Support us
    • Visit us
    • Contact us
  • Support us
Support us
  • Home
  • Publications
  • Research
  • Publications
  • Article

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 ,
Selma Ugurel ,
Lauren E Haydu ,
Rudolf Herbst ,
Jochen Utikal ,
Claudia Pföhler ,
Patrick Terheyden ,
Michael Weichenthal ,
Ralf Gutzmer ,
Peter Mohr ,
Rajat Rai ,
Jessica L Smith ,
Richard A Scolyer ,
Ana M Arance ,
Lisa Pickering ,
James Larkin ,
Paul Lorigan ,
Christian U Blank ,
Dirk Schadendorf ,
Michael A Davies ,
Matteo S Carlino ,
Douglas B Johnson ,
Georgina V Long ,
Serigne N Lo ,
Alexander M Menzies

Abstract

METHODS

One 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.

CONCLUSION

Newly 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.

RESULTS

The 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.

PURPOSE

Currently, 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.

More about this publication

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Volume 40
Issue nr. 10
Pages 1068-1080
Publication date 01-04-2022

Full text links

Publisher website (DOI) 10.1200/JCO.21.01701
Europe PubMed Central 35143285
Pubmed 35143285

Where science meets inspired minds

Contact

Plesmanlaan 121
1066CX Amsterdam

020 512 9111 communicatie@nki.nl

Quick links

  • Vacancies
  • News
  • Contact us
  • Media & Press

Follow us on

Disclaimer
Privacy statement
Cookies
Change cookie settings

This site uses cookies

This website uses cookies to ensure you get the best experience on our website.