Evidence map›Paper›PMID 42204826›Full record

ArticleMolecular oncology2026

Interpreting the effects of DNA polymerase variants at the structural level.

Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez-Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo

Abstract read
In one paragraph

Article in Molecular oncology, 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

8 authors.

Matteo ArnaudiCancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
Karolina KrzesińskaCancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
Ludovica BeltrameCancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
Pablo Sánchez-Izquierdo BesoraCancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
Matteo TibertiCancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.
Mef NilbertInstitute of Clinical Medicine, Dept. Oncology and Pathology, Lund University, Sweden.ORCID https://orcid.org/0000-0003-2717-1937
Anna RohlinDepartment of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden.
Elena PapaleoCancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-7376-5894

Funding

Assar Gabrielsson's foundationDanish Data Science AcademyDanmarks Grundforskningsfond DNRF125European High Performance Computing Joint Undertaking EHPC-BEN-2023B02-010European High Performance Computing Joint Undertaking EHPC-REG-2023R01-051Novo Nordisk Fonden NNF20OC0065262The Healthcare Board, Region ValJstra GolJtaland
6 · The paper itself

Abstract

Genetic variants in the DNA polymerase enzymes POLE and POLD1 can affect protein function by altering stability, catalysis, DNA binding, and interactions with other biomolecules. Understanding the structural basis of these variants is important for a comprehensive interpretation of variant impact. In this study, we used MAVISp, a modular structure-based framework, and molecular dynamics simulations to analyze over 60 000 missense variants of POLE and POLD1. By integrating results from changes in folding and binding free energies, local alterations in the proximity of the active or phosphorylation sites, we provided a detailed structural interpretation of variants reported across various databases, including ClinVar, COSMIC, and cBioPortal. Moreover, we predicted the functional consequences of variants not found yet in disease-related databases, thereby creating a comprehensive catalog for future studies. Of note, our approach enabled us to classify 364 Variants of Uncertain Significance (VUS) as PP3 evidence and 323 as BP4 evidence, in accordance with the American College of Medical Genetics and Genomics (ACMG) guidelines. Additionally, we identified a group of variants that could alter the native orientation of the residues within the catalytic site of the exonuclease domain, such as POLE variants P297S and P436R. Finally, we identified a group of variants predicted to affect DNA-binding affinity and rationalized their effects in terms of different energetic contributions and structural features. Collectively, our results not only advance our understanding of protein variant effects in POLE and POLD1 at the structural level but also support future studies aimed at variant classification, variant prioritization for experimental studies, and functional interpretation across diverse biological contexts.

Indexed as

DNA Polymerase IIDNA Polymerase IIIGenetic VariationHumansMolecular Dynamics SimulationMutation, MissenseProtein ConformationDNA Polymerase IIDNA Polymerase IIIPOLD1 protein, humancancer genomicsfree energy calculationslong‐range structural communicationprotein stabilityprotein structuresvariant effects

Identifiers

PMID42204826
PMCPMC13398764

What Socratic holds

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LicenceCC BY
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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 Socratic graph.