Evidence map›Paper›PMID 33315149›Full record

ArticleCancer immunology, immunotherapy : CII2021

A multiparametric approach to improve the prediction of response to immunotherapy in patients with metastatic NSCLC.

Marzia Del Re, Federico Cucchiara, Eleonora Rofi, Lorenzo Fontanelli, Iacopo Petrini, Nicole Gri, Giulia Pasquini, Mimma Rizzo, Michela Gabelloni, Lorenzo Belluomini and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Regulatory polymorphisms ofJournal for immunotherapy of cancer · 2025
    Article
  5. Review
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  10. Article
  11. Article
  12. Radiomics in Lung Metastases: A Systematic Review.Journal of personalized medicine · 2023
    Review
  13. The Detection of Exosomal PD-L1 in Peripheral Blood.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  14. Review
  15. Article
  16. Review
  17. 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

16 authors at 4 institutions in 1 country.

Marzia Del ReUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Federico CucchiaraUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Eleonora RofiUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Lorenzo FontanelliUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Iacopo PetriniGeneral Pathology, Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy.
Nicole GriDivision of Translational Oncology, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.
Giulia PasquiniGeneral Pathology, Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy.
Mimma RizzoDivision of Translational Oncology, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.
Michela GabelloniDiagnostic and Interventional Radiology, Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy.
Lorenzo BelluominiUnit of Clinical Oncology, Specialist Medical Department, S. Anna University Hospital, Ferrara, Italy.
Stefania CrucittaUnit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Raffaele CiampiEndocrinology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Antonio FrassoldatiUnit of Clinical Oncology, Specialist Medical Department, S. Anna University Hospital, Ferrara, Italy.
Emanuele NeriDiagnostic and Interventional Radiology, Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy.
Camillo Porta *Division of Translational Oncology, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.
Romano Danesi *Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy. romano.danesi@unipi.it.ORCID http://orcid.org/0000-0002-4414-8934
University of Pisa · ITIstituti Clinici Scientifici Maugeri · ITUniversity of Ferrara · ITUniversity of Pavia · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca PRIN 2017, grant n. 2017NR7W5K
6 · The paper itself

Abstract

backgroundIt is still unclear how to combine biomarkers to identify patients who will truly benefit from anti-PD-1 agents in NSCLC. This study investigates exosomal mRNA expression of PD-L1 and IFN-γ, PD-L1 polymorphisms, tumor mutational load (TML) in circulating cell-free DNA (cfDNA) and radiomic features as possible predictive markers of response to nivolumab and pembrolizumab in metastatic NSCLC patients.

methodsPatients were enrolled and blood (12 ml) was collected at baseline before receiving anti-PD-1 therapy. Exosome-derived mRNA and cfDNA were extracted to analyse PD-L1 and IFN-γ expression and tumor mutational load (TML) by digital droplet PCR (ddPCR) and next-generation sequencing (NGS), respectively. The PD-L1 single nucleotide polymorphisms (SNPs) c.-14-368 T > C and c.*395G > C, were analysed on genomic DNA by Real-Time PCR. A radiomic analysis was performed on the QUIBIM Precision

resultsThirty-eight patients were enrolled. High baseline IFN-γ was independently associated with shorter median PFS (5.6 months vs. not reached p = 0.0057), and levels of PD-L1 showed an increase at 3 months vs. baseline in patients who progressed (p = 0.01). PD-L1 baseline levels showed significant direct and inverse relationships with radiomic features. Radiomic features also inversely correlated with PD-L1 expression in tumor tissue. In subjects receiving nivolumab, median PFS was shorter in carriers of c.*395GG vs. c.*395GC/CC genotype (2.3 months vs. not reached, p = 0.041). Lastly, responders had higher non-synonymous mutations and more links between co-occurring genetic somatic mutations and ARID1A alterations as well.

conclusionsA combined multiparametric approach may provide a better understanding of the molecular determinants of response to immunotherapy.

Indexed as

MutationAdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell-Free Nucleic AcidsFemaleFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleAntibodies, Monoclonal, HumanizedB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCell-Free Nucleic AcidsNivolumabpembrolizumabBiomarkersImmunotherapyLiquid biopsyNSCLCRadiomics

Identifiers

PMID33315149
PMCPMC8139911
OpenAlexW3111799242

What OpenQuestion holds

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Registered trials

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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.