Evidence map›Paper›PMID 36430974›Full record

SynthesisInternational journal of molecular sciences2022

Soluble PD-L1 as a Prognostic Factor for Immunotherapy Treatment in Solid Tumors: Systematic Review and Meta-Analysis.

Fabio Scirocchi, Lidia Strigari, Alessandra Di Filippo, Chiara Napoletano, Angelica Pace, Hassan Rahimi, Andrea Botticelli, Aurelia Rughetti, Marianna Nuti, Ilaria Grazia Zizzari

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
4.0field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Correlation between exosomal PD-L1 and prognosis in patients with cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
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  9. Nanoscale Mapping of the Subcellular Glycosylation Landscape.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. CD137Journal of translational medicine · 2024
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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 3 institutions in 1 country.

Fabio ScirocchiLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0002-6408-2055
Lidia StrigariDepartment of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0003-4293-2298
Alessandra Di FilippoLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0003-1729-6410
Chiara NapoletanoLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0001-5449-5430
Angelica PaceLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2097-7874
Hassan RahimiLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0001-6701-1263
Andrea BotticelliDivision of Oncology, Department of Radiological, Oncological and Pathological Science, Policlinico Umberto I, "Sapienza" University of Rome, 00161 Rome, Italy.
Aurelia RughettiLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0002-1863-8251
Marianna NutiLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0003-1809-1003
Ilaria Grazia ZizzariLaboratory of Tumor Immunology and Cell Therapies, Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy.ORCID 0000-0001-8263-7248
Sapienza University of Rome · ITAzienda USL di Bologna · ITPoliclinico Umberto I · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blocking the Programmed Cell Death Protein 1 (PD-1)/programmed death ligand-1 (PD-L1) axis has demonstrated great efficacy in cancer immunotherapy treatment and remains the central modality of immune targeting. To support the rational and tailored use of these drugs, it is important to identify reliable biomarkers related to survival. The role of the soluble form of the PD-L1 (sPD-L1) as a prognostic biomarker related to survival in solid cancer patients treated with immunotherapy has not yet been consistently evaluated. A systematic literature search of original articles in PubMed, MEDLINE and Scopus was conducted. Studies reporting hazard ratios (HRs) with a 95% confidence interval (CI) or Kaplan−Meier curves or individual patient data for overall survival (OS) or progression-free survival (PFS) associated with baseline levels of sPD-L1 in cancer patients undergoing immunotherapy treatment were considered eligible. Twelve studies involving 1076 patients and different tumor types treated with immunotherapy were included in the analysis. High blood levels of sPD-L1 correlated with poorer OS and PFS in cancer patients treated with immunotherapy (HR = 1.49, 95%CI: 1.15, 1.93, p < 0.01, I2 = 77% for OS; HR = 1.59, 95%CI: 1.20, 2.12, p < 0.01, I2 = 82% for PFS). A subgroup analysis highlighted that high levels of sPD-L1 were associated with worse survival in patients affected by NSCLC (HR = 1.81 95%CI: 1.09−3.00, p = 0.02, I2 = 83% for OS; HR = 2.18, 95%CI: 1.27−3.76, p < 0.01, I2 = 88% for PFS). An HR > 1 indicated that patients with low levels of sPD-L1 have the highest rates of OS/PFS. In this meta-analysis, we clarified the role of sPD-L1 in different solid cancers treated exclusively with Immune checkpoint inhibitors (ICIs). sPD-L1 could represent a non-invasive biomarker that is easily dosable in the blood of patients. The pooled data from the selected studies showed that a high circulating concentration of sPD-L1 in cancer patients correlates with worse survival, suggesting that it may be a helpful prognostic biomarker for the selection of cancer patients before immunotherapy, thus improving the efficacy of ICIs and avoiding unnecessary treatment.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenHumansImmunologic FactorsImmunotherapyPrognosisB7-H1 AntigenImmunologic Factorsimmunotherapymeta-analysisprognostic biomarkerprogrammed death ligand-1 (PD-L1)solid cancersoluble forms of IC receptorssoluble programmed death ligand-1 (sPD-L1)survival

Identifiers

PMID36430974
PMCPMC9696773
OpenAlexW4309717842

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.