Evidence map›Paper›PMID 41344990›Full record

ArticleJournal for immunotherapy of cancer2025

rs10204525 binding to miR-4717-3p modulates PD-1 expression and predicts the development of immune-related adverse events in patients with advanced cancer treated with anti-PD-1/PD-L1 therapy.

Giovanna Polcaro, Luigi Liguori, Valentina Manzo, Emanuela De Bellis, Berenice Stefanelli, Valentina Pagliara, Maddalena Langella, Alessandro Caputo, Alessandro Ottaiano, Rosanna Martinelli and 6 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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.

Giovanna Polcaro *Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Luigi Liguori *Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.ORCID http://orcid.org/0000-0002-0232-1452
Valentina ManzoClinical Pharmacology Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy.
Emanuela De BellisClinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Berenice StefanelliClinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Valentina PagliaraOncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Maddalena LangellaHematology and Transplant Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy.
Alessandro CaputoPathology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Alessandro OttaianoStructure of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale, Naples, Italy.ORCID http://orcid.org/0000-0002-2901-3855
Rosanna MartinelliDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Marco CascellaDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Cristina FerroneDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Amelia FilippelliClinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Valeria ContiClinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Stefano PepeOncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Francesco SabbatinoOncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy fsabbatino@unisa.it.ORCID http://orcid.org/0000-0001-6431-8278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredictive biomarkers for anti-programmed cell death-1 (PD-1) and anti-programmed cell death ligand 1 (PD-L1) therapy are needed. Here, we validated the role of PD-1 single nucleotide polymorphisms (SNPs) in predicting the development of immune-related adverse events (irAEs) in patients with advanced cancer treated with anti-PD-1/PD-L1-based immunotherapy and defined the molecular mechanisms underlying the role of identified SNP candidate.

methodsBlood samples, clinical-pathological characteristics, survival outcomes and irAEs were collected from two cohorts of patients: (1) patients with advanced cancer treated with anti-PD-1/PD-L1 alone and (2) patients with advanced non-small cell lung cancer (NSCLC) treated with anti-PD-1 in combination with platinum-based chemotherapy with or without anti-cytotoxic T-lymphocyte antigen 4 (CTLA-4) therapy. PD-1 SNPs including rs2227981, rs7421861, rs11568821, rs36084323, rs2227982 and rs10204525 were genotyped and correlated with clinical-pathological characteristics and irAEs. Putative miRNAs binding to PD-1 SNP candidate were identified by in silico analysis. Validation of miRNA binding to PD-1 SNP allele specificity as well as evaluation of the induced PD-1 modulation was performed in vitro using patient-derived peripheral blood mononuclear cells (PBMCs). Susceptibility of non-cancer cells to immune cells incubated with anti-PD-1 based on PD-1 SNP allele specificity and miRNA modulation was performed by co-culturing non-cancer human epidermal keratinocyte (HaCaT) cells and bronchial epithelial BEAS-2B cells with human leukocyte antigen (HLA)-matched PBMCs, obtained from patients with cancer treated with anti-PD-1/PD-L1-based immunotherapy and carrying a different PD-1 SNP.

resultsMost of the analyzed PD-1 SNPs were not associated with the development of irAEs. In contrast, rs10204525 exhibited a significant association with the occurrence of both grade 1-2 and 3-4 irAEs in both cohorts of patients. Specifically, patients carrying C/C had a higher rate of irAEs as compared with those carrying C/T. rs10204525 mapped on 3' untranslated region (3'-UTR) region of PD-1. miR-4717-3p bound to rs10204525 based on its allele specificity. Modulation of miR-4717-3p expression as well as of miR-4717-3p binding to rs10204525 differentially regulated PD-1 expression and induction in PMBCs harboring C/C or C/T genotypes as well as their ability to recognize and destroy HLA-matched HaCaT cells, even more in the presence of anti-PD-1 therapy. Specifically, PBMCs carrying a C/T genotype displayed a significantly lower ability to recognize and destroy non-cancer cells as compared to those carrying C/C. These results were further validated by co-culturing of both BEAS-2B and HaCaT non-cancer cells with PBMCs carrying differential rs10204525 genotypes, isolated from additional patients with cancer, incubated with anti-PD-1 or anti-PD-1 in combination with anti-CTLA-4 therapy.

conclusionsThese findings have high clinical relevance since they define rs10204525 binding to miR-4717-3p-mediated PD-1 expression and induction as a mechanism modulating the reactivity of immune cells to non-cancer cells as well as a novel biomarker for predicting irAEs in patients with advanced cancer treated with anti-PD-1/PD-L1-based immunotherapy.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsImmunotherapyMicroRNAsProgrammed Cell Death 1 ReceptorAgedFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsMicroRNAsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorBiomarkerImmune Checkpoint InhibitorImmune related adverse event - irAEImmunotherapy

Identifiers

PMID41344990
PMCPMC12684190

What OpenQuestion holds

Textmetadata
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.