Evidence map›Paper›PMID 41728128›Full record

ArticleFrontiers in veterinary science2026

Insights into the olaparib-mediated cell death mechanisms in canine hematological malignancies: a different fate for CLBL-1 and GL-1 cell lines.

Greta Mucignat, Ewa Dejnaka, Marianna Pauletto, Rosa Maria Lopparelli, Mery Giantin, Aleksandra Pawlak, Mauro Dacasto

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

7 authors.

Greta Mucignat *Department of Comparative Biomedicine and Food Science, University of Padua -Agripolis, Legnaro, Italy.
Ewa Dejnaka *Department of Pharmacology and Toxicology, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
Marianna PaulettoDepartment of Comparative Biomedicine and Food Science, University of Padua -Agripolis, Legnaro, Italy.
Rosa Maria LopparelliDepartment of Comparative Biomedicine and Food Science, University of Padua -Agripolis, Legnaro, Italy.
Mery GiantinDepartment of Comparative Biomedicine and Food Science, University of Padua -Agripolis, Legnaro, Italy.
Aleksandra PawlakDepartment of Pharmacology and Toxicology, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
Mauro DacastoDepartment of Comparative Biomedicine and Food Science, University of Padua -Agripolis, Legnaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Olaparib (OLA) is a poly ADP-ribose polymerase inhibitor (PARPi) indicated for solid cancers harboring Methods: CLBL-1 and GL-1 cell lines were exposed to OLA (12.5, 25, and 50 μM) for 24 and 48 h and were subjected to preliminary cell death evaluations by flow cytometry. Then, both immunoblotting for the assessment of Bcl-2 and Bcl-XL, and RNA-seq were carried out after 24 h of exposure to OLA 25 and 50 μM. As for whole-transcriptome analysis, reads were pseudo-aligned (Kallisto) to the reference transcriptome, and differential gene expression (DGE) and functional analyses were performed with edgeR and clusterProfiler R packages. Results: The percentage of annexin V-positive cells after 24 h of incubation with OLA 50 μM was ~10%, increasing to ~40% in CLBL-1 cells and ~30% in GL-1 cells at 48 h. Bcl-2 and Bcl-XL expression increased after 24 h of incubation in CLBL-1 cells but decreased in GL-1 cells. DGE and functional analyses showed that, in CLBL-1 cells, the main processes affected by OLA were stress (e.g., Discussion: The comprehensive transcriptomic analysis helped clarify the distinct mechanisms of OLA-induced cell death in CLBL-1 and GL-1 cells, which showed different sensitivities to OLA. Indeed, this PARPi appeared to interact with immune checkpoints, stress sensors, and interfere with cell proliferation, leading to various types of cell death. As canine lymphoma is a significant concern in veterinary oncology and a valuable model for its human counterpart, this study further confirms the potential of PARPi as a therapeutic approach in hematological malignancies in both species.

Indexed as

apoptosisdogleukemialymphomaolaparibpyroptosis

Identifiers

PMID41728128
PMCPMC12920183

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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.