Evidence map›Paper›PMID 38469304›Full record

ArticleFrontiers in immunology2024

MicroRNA-126 selected with broad-spectrum analysis of microRNAs - a new predictive factor for the effectiveness of immunotherapy or chemoimmunotherapy in advanced NSCLC patients?

Anna Grenda, Barbara Kuźnar-Kamińska, Ewa Kalinka, Paweł Krawczyk, Marek Sawicki, Agata Filip, Izabela Chmielewska, Małgorzata Frąk, Natalia Krzyżanowska, Janusz Milanowski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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  4. 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

10 authors at 3 institutions in 1 country.

Anna GrendaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.
Barbara Kuźnar-KamińskaDepartment of Pulmonology, Allergology and Pulmonary Oncology, Poznan University of Medical Sciences, Poznań, Poland.
Ewa KalinkaDepartment of Oncology, Polish Mother's Memorial Hospital Research Institute, Łódź, Poland.
Paweł KrawczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.
Marek SawickiDepartment of Thoracic Surgery, Medical University of Lublin, Lublin, Poland.
Agata FilipDepartment of Cancer Genetics with Department of Cancer Genetics with Cytogenetics Laboratory, Medical University in Lublin, Lublin, Poland.
Izabela ChmielewskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.
Małgorzata FrąkDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.
Natalia KrzyżanowskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.
Janusz MilanowskiDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.
Medical University of Lublin · PLPolish Mother’s Memorial Hospital Research Institute · PLPoznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Expression of PD-L1 on cancer cells is the only validated predictive factor for immunotherapy in NSCLC (Non-Small Cell Lung Cancer) patients. However, on this basis, it is difficult to predict the occurrence of resistance to immune checkpoint inhibitors (ICIs). MicroRNAs are widely studied as biomarkers of cancers. Our study was designed to determine whether microRNAs can be sensitive predictive factors in the qualification of NSCLC patients to first-line immunotherapy or chemoimmunotherapy. Material and methods: The two-stage research on validation group (n=20) and study group (n=35) of patients with advanced NSCLC was conducted. Analysis of microRNAs expression by qPCR in plasma collected prior to the start of immunotherapy (pembrolizumab) or chemoimmunotherapy (combination of pembrolizumab with chemotherapy) was made. Broad-spectrum analysis of microRNAs expression was used in the studied group. Three microRNAs selected in that group as important for the effectiveness of ICIs were then examined in the validation group. Results: In the studied group, significantly higher expression of miRNA-126-3p, miR-144-3p and miR-146-5p was observed in patients with long PFS compared to those with short PFS. In the validation group, low miRNA-126 expression indicated lower median progression-free survival and overall survival (2.3 vs. 5.0 months and 5.2 vs 11.2, respectively). These patients had a significantly higher risk of progression (HR= 2.92, 95% CI: 1.01 to 8.40, p=0.04) and death (HR=3.64, 95% CI: 1.22 to 10.84, p=0.02). Conclusion: Our study showed that the expression of miR-126 in blood plasma may be a predictive factor for the effectiveness of first-line immunotherapy or chemoimmunotherapy in advanced NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMicroRNAsHumansImmunotherapyMicroRNAsMIRN126 microRNA, humananti-PD-1immunotherapymicroRNAmiRNANSCLC

Identifiers

PMID38469304
PMCPMC10925701
OpenAlexW4392166980

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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.