Evidence map›Paper›PMID 29309059›Full record

ArticleNature medicine2018

High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy.

Carsten Krieg, Malgorzata Nowicka, Silvia Guglietta, Sabrina Schindler, Felix J Hartmann, Lukas M Weber, Reinhard Dummer, Mark D Robinson, Mitchell P Levesque, Burkhard Becher

Erratum issuedAbstract readComment
PubMed Publisher
In one paragraph

Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 489 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
489citing papers in PubMed, 4 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

489 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
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  17. Clinical significance of CD161Journal for immunotherapy of cancer · 2026
    Article
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  20. Article

429 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Carsten KriegInstitute of Experimental Immunology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-5145-7591
Malgorzata NowickaInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Silvia GugliettaDepartment of Experimental Oncology, European Institute of Oncology, Milan, Italy.
Sabrina SchindlerDepartment of Dermatology, University Hospital Zurich, Zurich, Switzerland.
Felix J HartmannInstitute of Experimental Immunology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4174-2276
Lukas M WeberInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3282-1730
Reinhard DummerDepartment of Dermatology, University Hospital Zurich, Zurich, Switzerland.
Mark D RobinsonInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3048-5518
Mitchell P LevesqueDepartment of Dermatology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-5902-9420
Burkhard BecherInstitute of Experimental Immunology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1541-7867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-checkpoint blockade has revolutionized cancer therapy. In particular, inhibition of programmed cell death protein 1 (PD-1) has been found to be effective for the treatment of metastatic melanoma and other cancers. Despite a dramatic increase in progression-free survival, a large proportion of patients do not show durable responses. Therefore, predictive biomarkers of a clinical response are urgently needed. Here we used high-dimensional single-cell mass cytometry and a bioinformatics pipeline for the in-depth characterization of the immune cell subsets in the peripheral blood of patients with stage IV melanoma before and after 12 weeks of anti-PD-1 immunotherapy. During therapy, we observed a clear response to immunotherapy in the T cell compartment. However, before commencing therapy, a strong predictor of progression-free and overall survival in response to anti-PD-1 immunotherapy was the frequency of CD14

Indexed as

MelanomaBiomarkersHumansImmunotherapyProgrammed Cell Death 1 ReceptorSingle-Cell AnalysisBiomarkersProgrammed Cell Death 1 Receptor

Identifiers

PMID29309059

What OpenQuestion holds

Textmetadata
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.