Evidence map›Paper›PMID 41373665›Full record

ArticleInternational journal of molecular sciences2025

Comprehensive Genomic Profiling of Small-Cell Lung Cancer Reveals Frequent Potentially Targetable Alterations.

Dániel Schmalz, Zoltán Krabóth, Veronika Czoma, Péter Urbán, Attila Gyenesei, István Ruzsics, Veronika Sárosi, Árpád Boronkai, Emőke Papp, Béla Kajtár

Abstract read
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In one paragraph

Article in International journal of molecular sciences, 2025. 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

10 authors.

Dániel SchmalzCenter of Omics, János Szentágothai Research Center, University of Pécs, Ifjúság Street 20, 7624 Pécs, Hungary.
Zoltán KrabóthDepartment of Pathology, Clinical Centre, University of Pécs, Szigeti Street 12, 7624 Pécs, Hungary.
Veronika CzomaDepartment of Pathology, Clinical Centre, University of Pécs, Szigeti Street 12, 7624 Pécs, Hungary.
Péter UrbánCenter of Omics, János Szentágothai Research Center, University of Pécs, Ifjúság Street 20, 7624 Pécs, Hungary.ORCID 0000-0003-4043-3428
Attila GyeneseiCenter of Omics, János Szentágothai Research Center, University of Pécs, Ifjúság Street 20, 7624 Pécs, Hungary.
István Ruzsics1st Department of Internal Medicine, Clinical Centre, University of Pécs, Ifjúság Street 13, 7624 Pécs, Hungary.ORCID 0000-0002-6381-8884
Veronika Sárosi1st Department of Internal Medicine, Clinical Centre, University of Pécs, Ifjúság Street 13, 7624 Pécs, Hungary.
Árpád BoronkaiDepartment of Oncotherapy, Clinical Centre, University of Pécs, Édesanyák Street 17, 7624 Pécs, Hungary.
Emőke PappDepartment of Oncotherapy, Clinical Centre, University of Pécs, Édesanyák Street 17, 7624 Pécs, Hungary.
Béla KajtárDepartment of Pathology, Clinical Centre, University of Pécs, Szigeti Street 12, 7624 Pécs, Hungary.ORCID 0000-0001-5551-3709

Funding

F. Hoffmann-La Roche PTE136209-3/2023
6 · The paper itself

Abstract

Small-cell lung carcinoma (SCLC) remains one of the most aggressive lung cancers and continues to pose a major challenge for precision oncology. Despite its morphological uniformity, SCLC exhibits marked molecular heterogeneity with recurrent, potentially targetable genomic alterations. Comprehensive profiling is often hindered by limited tissue availability and the need for rapid therapeutic intervention. We performed genomic profiling of 55 primary and metastatic SCLC samples using a 324-gene hybrid-capture next-generation sequencing panel. Consistent with prior reports, nearly all tumors exhibited biallelic

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaAgedDNA Copy Number VariationsFemaleGene Expression ProfilingGenomicsHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationSignal Transductioncomprehensive genomic profilingcopy number changesNGSSCLCTYRO3

Identifiers

PMID41373665
PMCPMC12692088

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.