Evidence map›Paper›PMID 41483118›Full record

ArticleJournal of applied genetics2026

When genetics meets immunology: the assessment of genetic and immunological backgrounds in advanced NSCLC patients treated with immunotherapy - preliminary study.

Natalia Krzyżanowska, Marcin Nicoś, Kamila Wojas-Krawczyk, Paweł Krawczyk, Izabela Chmielewska, Tomasz Jankowski, Tomasz Kucharczyk, Magdalena Wójcik-Superczyńska, Anna Sroka-Bartnicka, Tomasz Stokowy and 1 more

Abstract read
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In one paragraph

Article in Journal of applied genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Natalia KrzyżanowskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland. natalia.krzyzanowska97@gmail.com.ORCID http://orcid.org/0000-0001-8715-1343
Marcin NicośDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland. marcinnicos@gmail.com.ORCID http://orcid.org/0000-0002-9566-113X
Kamila Wojas-KrawczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0001-9947-5169
Paweł KrawczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0001-8400-4452
Izabela ChmielewskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0002-0948-9071
Tomasz JankowskiDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0002-0049-7673
Tomasz KucharczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0002-2678-8655
Magdalena Wójcik-SuperczyńskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0001-9153-9850
Anna Sroka-BartnickaIndependent Unit of Spectroscopy and Chemical Imaging, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0003-0739-3567
Tomasz StokowyScientific Computing Group, IT Division, University of Bergen, Bergen, Norway.ORCID http://orcid.org/0000-0003-0017-8338
Janusz MilanowskiDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland.ORCID http://orcid.org/0000-0002-8616-596X

Funding

Narodowe Centrum Badań i Rozwoju LIDER/46/0237/L-12/20/NCBR/2021Uniwersytet Medyczny w Lublinie Innovative Grant GI/3
6 · The paper itself

Abstract

Non-small-cell lung cancer treatment relies greatly on immunotherapy, especially in individuals without targetable mutations enabling the use of molecularly targeted therapies. Negative immune checkpoint inhibitors significantly contribute to improving patients' survival and quality of life. Both programmed death ligand 1 expression on tumour cells and tumour mutational burden are used to predict the response to such treatment and qualify patients for therapy; however, in some cases, these biomarkers do not perform sufficiently well. Discovering new markers indicating resistance or response to immunotherapy would therefore enable clinicians to tailor the therapy course to the patient's benefit. This paper aims to describe the genetic and immunological background of immunotherapy courses and identify factors potentially related to clinical benefit or lack of response to immunotherapy, using next-generation sequencing of tumour tissue and flow cytometry analysis of lymphocyte subpopulations in the peripheral blood of non-small cell lung cancer patients in a preliminary study.

Indexed as

Flow cytometryImmunotherapyNGSNSCLCPredictive factors

Identifiers

PMID41483118

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.