Evidence map›Paper›PMID 33963011›Full record

ArticleJournal for immunotherapy of cancer2021

Predicting anti-PD-1 responders in malignant melanoma from the frequency of S100A9+ monocytes in the blood.

Soudabeh Rad Pour, Yago Pico de Coaña, Xavier Martinez Demorentin, Jeroen Melief, Manjula Thimma, Maria Wolodarski, David Gomez-Cabrero, Johan Hansson, Rolf Kiessling, Jesper Tegner

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  11. S100A9Journal of experimental & clinical cancer research : CR · 2024
    Article
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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

10 authors at 4 institutions in 3 countries.

Soudabeh Rad Pour *Department of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Stockholm, Sweden soudabeh.radp@yahoo.com Jesper.tegner@kaust.edu.sa.ORCID 0000-0002-8114-7041
Yago Pico de Coaña *Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Xavier Martinez Demorentin *Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain.
Jeroen Melief *Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Manjula ThimmaBiological and Environmental Sciences and Engineering Division (BESE), KingAbdullah University of Science and Technology KAUST, Thuwal, 23955, Saudi Arabia.
Maria WolodarskiDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
David Gomez-CabreroDepartment of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Stockholm, Sweden.
Johan HanssonDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Rolf KiesslingDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Jesper TegnerDepartment of Medicine, Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Stockholm, Sweden soudabeh.radp@yahoo.com Jesper.tegner@kaust.edu.sa.
Karolinska Institutet · SEKarolinska University Hospital · SEUniversidad Publica de Navarra · ESKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile programmed cell death receptor 1 (PD-1) blockade treatment has revolutionized treatment of patients with melanoma, clinical outcomes are highly variable, and only a fraction of patients show durable responses. Therefore, there is a clear need for predictive biomarkers to select patients who will benefit from the treatment.

methodTo identify potential predictive markers for response to PD-1 checkpoint blockade immunotherapy, we conducted single-cell RNA sequencing analyses of peripheral blood mononuclear cells (PBMC) (n=8), as well as an in-depth immune monitoring study (n=20) by flow cytometry in patients with advanced melanoma undergoing treatment with nivolumab at Karolinska University Hospital. Blood samples were collected before the start of treatment and at the time of the second dose.

resultsUnbiased single-cell RNA sequencing of PBMC in patients with melanoma uncovered that a higher frequency of monocytes and a lower ratio of CD4+ T cells to monocyte were inversely associated with overall survival. Similarly, S100A9 expression in the monocytic subset was correlated inversely with overall survival. These results were confirmed by a flow cytometry-based analysis in an independent patient cohort.

conclusionOur results suggest that monocytic cell populations can critically determine the outcome of PD-1 blockade, particularly the subset expressing S100A9, which should be further explored as a possible predictive biomarker. Detailed knowledge of the biological role of S100A9+ monocytes is of high translational relevance.

Indexed as

AdultAgedAged, 80 and overCalgranulin BFemaleFlow CytometryHumansImmune Checkpoint InhibitorsMaleMelanomaMiddle AgedMonocytesNivolumabPredictive Value of TestsProgrammed Cell Death 1 ReceptorRNA-SeqCalgranulin BImmune Checkpoint InhibitorsNivolumabPDCD1 protein, humanProgrammed Cell Death 1 ReceptorS100A9 protein, humanactiveCD4-CD8 ratiogene expression profilingimmunotherapyinvestigationalprogrammed cell death 1 receptortherapies

Identifiers

PMID33963011
PMCPMC8108662
OpenAlexW3157713440

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.