Evidence map›Paper›PMID 35292517›Full record

ArticleJournal for immunotherapy of cancer2022

C reactive protein flare predicts response to checkpoint inhibitor treatment in non-small cell lung cancer.

Niklas Klümper, Jonas Saal, Fiamma Berner, Christa Lichtensteiger, Nina Wyss, Annkristin Heine, Franz Georg Bauernfeind, Jörg Ellinger, Peter Brossart, Stefan Diem and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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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

17 authors at 2 institutions in 2 countries.

Niklas KlümperInstitute for Experimental Oncology, University Hospital Bonn, Bonn, Germany.
Jonas SaalCenter for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany.
Fiamma BernerInstitute of Immunobiology, Kantonsspital St Gallen, St Gallen, Switzerland.
Christa LichtensteigerInstitute of Immunobiology, Kantonsspital St Gallen, St Gallen, Switzerland.ORCID 0000-0002-9478-0639
Nina WyssInstitute of Immunobiology, Kantonsspital St Gallen, St Gallen, Switzerland.
Annkristin HeineCenter for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany.
Franz Georg BauernfeindCenter for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany.
Jörg EllingerCenter for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany.
Peter BrossartCenter for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany.
Stefan DiemDepartment of Oncology and Hematology, Kantonsspital St Gallen, St Gallen, Switzerland.
Sabine SchmidDepartment of Oncology and Hematology, Kantonsspital St Gallen, St Gallen, Switzerland.
Markus JoergerDepartment of Oncology and Hematology, Kantonsspital St Gallen, St Gallen, Switzerland.
Martin FruehDepartment of Oncology and Hematology, Kantonsspital St Gallen, St Gallen, Switzerland.
Manuel RitterCenter for Integrated Oncology Cologne/Bonn, University Hospital Bonn, Bonn, Germany.
Michael HölzelInstitute for Experimental Oncology, University Hospital Bonn, Bonn, Germany.ORCID 0000-0003-4048-8824
Lukas FlatzInstitute of Immunobiology, Kantonsspital St Gallen, St Gallen, Switzerland.
Tobias BaldInstitute for Experimental Oncology, University Hospital Bonn, Bonn, Germany Tobias.Bald@ukbonn.de.ORCID 0000-0003-0061-235X
University Hospital Bonn · DEKantonsspital St. Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers for predicting response to anti-programmed death-1 (PD-1) immune checkpoint blockade (ICB) in non-small cell lung cancer (NSCLC) remain in demand. Since anti-tumor immune activation is a process, early dynamic changes of the acute-phase reactant C reactive protein (CRP) may serve as a predictive on-treatment biomarker. In a retrospective (N=105) and prospective (N=108) ICB-treated NSCLC cohort, early CRP kinetics were stratified after the start of immunotherapy until weeks 4, 6, and 12 as follows: an early doubling of baseline CRP followed by a drop below baseline (CRP flare-responder), a drop of at least 30% below baseline without prior flare (CRP responders), or those who remained as CRP non-responders. In our study, we observed characteristic longitudinal changes of serum CRP concentration after the initiation of ICB. In the prospective cohort, N=40 patients were defined as CRP non-responders, N=39 as CRP responders, and N=29 as CRP flare-responders with a median progression-free survival (PFS) of 2.4, 8.1, and 14.3 months, respectively, and overall survival (OS) of 6.6, 18.6, and 32.9 months (both log-rank p<0.001). Of note, CRP flare-responses, characterized by a sharp on-treatment CRP increase in the first weeks after therapy initiation, followed by a decrease of CRP serum level below baseline, predict ICB response as early as 4 weeks after therapy initiation. Of note, early CRP kinetics showed no predictive value for chemoimmunotherapy or when steroids were administered concurrently. On-treatment CRP kinetics had a predictive value for both major histological NSCLC subtypes, adenocarcinoma and squamous cell carcinoma. The results were verified in an independent retrospective cohort of 105 patients. In conclusion, CRP flare predicted anti-PD-1 monotherapy response and survival in two independent cohorts including a total of 213 patients with NSCLC, regardless of histology. Due to its wide clinical availability, early CRP kinetics could become an easily determined, cost-efficient, and non-invasive biomarker to predict response to checkpoint inhibitors in NSCLC within the first month.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorC-Reactive ProteinHumansProspective StudiesRetrospective StudiesBiomarkers, TumorC-Reactive Proteinbiomarkers, tumorimmunotherapylung neoplasms

Identifiers

PMID35292517
PMCPMC8928397
OpenAlexW4220938104

What OpenQuestion holds

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LicenceCC BY-NC
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.