Evidence map›Paper›PMID 38755213›Full record

ArticleScientific reports2024

Multi-omic analysis identifies hypoalbuminemia as independent biomarker of poor outcome upon PD-1 blockade in metastatic melanoma.

Lindsay V M Leek, Jessica C L Notohardjo, Karlijn de Joode, Eline L Velker, John B A G Haanen, Karijn P M Suijkerbuijk, Maureen J B Aarts, Jan Willem B de Groot, Ellen Kapiteijn, Franchette W P J van den Berkmortel and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Lindsay V M Leek *Department of Medical Oncology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Jessica C L Notohardjo *Department of Medical Oncology, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands.
Karlijn de JoodeDepartment of Medical Oncology and Radiology & Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Eline L VelkerDepartment of Medical Oncology, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands.
John B A G HaanenDepartment of Medical Oncology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Karijn P M SuijkerbuijkDepartment of Medical Oncology, UMC Utrecht Cancer Center, Utrecht University, Utrecht, The Netherlands.
Maureen J B AartsDepartment of Medical Oncology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Jan Willem B de GrootDepartment of Medical Oncology, Oncology Center Isala, Isala, Zwolle, The Netherlands.
Ellen KapiteijnDepartment of Medical Oncology, Leiden University Medical Centre, Leiden, The Netherlands.
Franchette W P J van den BerkmortelDepartment of Medical Oncology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands.
Hans M WestgeestDepartment of Medical Oncology, Amphia Hospital, Breda, The Netherlands.
Tanja D de GruijlDepartment of Medical Oncology, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands.
Valesca P RetelDivision of Psychosocial Research and Epidemiology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Edwin CuppenHartwig Medical Foundation, Amsterdam, The Netherlands.
Astrid A M van der VeldtDepartment of Medical Oncology and Radiology & Nuclear Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Mariette LabotsDepartment of Medical Oncology, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands.
Emile E VoestDepartment of Medical Oncology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands.
Joris van de HaarDepartment of Medical Oncology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands. j.vd.haar@nki.nl.
Alfons J M van den EertweghDepartment of Medical Oncology, Amsterdam UMC Location Vrije Universiteit, Amsterdam, The Netherlands. vandeneertwegh@amsterdamumc.nl.

Funding

ZonMw 846001002
6 · The paper itself

Abstract

We evaluated the prognostic value of hypoalbuminemia in context of various biomarkers at baseline, including clinical, genomic, transcriptomic, and blood-based markers, in patients with metastatic melanoma treated with anti-PD-1 monotherapy or anti-PD-1/anti-CTLA-4 combination therapy (n = 178). An independent validation cohort (n = 79) was used to validate the performance of hypoalbuminemia compared to serum LDH (lactate dehydrogenase) levels. Pre-treatment hypoalbuminemia emerged as the strongest predictor of poor outcome for both OS (HR = 4.01, 95% CI 2.10-7.67, Cox P = 2.63e-05) and PFS (HR = 3.72, 95% CI 2.06-6.73, Cox P = 1.38e-05) in univariate analysis. In multivariate analysis, the association of hypoalbuminemia with PFS was independent of serum LDH, IFN-γ signature expression, TMB, age, ECOG PS, treatment line, treatment type (combination or monotherapy), brain and liver metastasis (HR = 2.76, 95% CI 1.24-6.13, Cox P = 0.0131). Our validation cohort confirmed the prognostic power of hypoalbuminemia for OS (HR = 1.98, 95% CI 1.16-3.38; Cox P = 0.0127) and was complementary to serum LDH in analyses for both OS (LDH-adjusted HR = 2.12, 95% CI 1.2-3.72, Cox P = 0.00925) and PFS (LDH-adjusted HR = 1.91, 95% CI 1.08-3.38, Cox P = 0.0261). In conclusion, pretreatment hypoalbuminemia was a powerful predictor of outcome in ICI in melanoma and showed remarkable complementarity to previously established biomarkers, including high LDH.

Indexed as

Biomarkers, TumorHypoalbuminemiaImmune Checkpoint InhibitorsMelanomaAdultAgedAged, 80 and overFemaleHumansL-Lactate DehydrogenaseMaleMiddle AgedMultiomicsNeoplasm MetastasisPrognosisProgrammed Cell Death 1 ReceptorBiomarkers, TumorImmune Checkpoint InhibitorsL-Lactate DehydrogenasePDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID38755213
PMCPMC11099084

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