Evidence map›Paper›PMID 42346254›Full record

ArticleCurrent oncology (Toronto, Ont.)2026

Domain-Specific Computational, Functional and Structural Methods Enable Interpretation of

Gabriella C Torretto, Matthew D Martin, Kaamraan Islam, Nicole E Archer, Harriet E Feilotter, Scott K Davey

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 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

6 authors.

Gabriella C TorrettoDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON K7L 3N6, Canada.
Matthew D MartinDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON K7L 3N6, Canada.
Kaamraan IslamDivision of Cancer Biology and Genetics, Sinclair Cancer Research Institute, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0009-0006-6365-4396
Nicole E ArcherDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON K7L 3N6, Canada.
Harriet E FeilotterDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON K7L 3N6, Canada.
Scott K DaveyDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0001-8909-8064

Funding

Canadian Cancer Society 705454
6 · The paper itself

Abstract

backgroundPathogenic germline

methodsWe characterized the structural distribution of

resultsThe RING and BRCT domains were identified as hotspots for missense pathogenic variants and VUS; BRCT was selected as the focus of the computational classifier. Nine in silico tools (CADD hg19, MetaRNN, ClinPred, VEST4, BayesDel AD, EVE, Eigen PC, gMVP and PolyPhen2) defined the BRCT-specific missense variant classifier. Twenty-two VUS (R1699P, F1704S, W1837L, W1712G, F1734S, V1804A, I1674V, V1804L, V1804I, I1807V, T1675S, I1764L, N1774I, E1698K, Q1848K, P1749S, A1669T, N1774H, L1839V, T1658I, L1705I, V1654L) demonstrated varying phosphopeptide binding ability and protein levels relative to the wildtype. Computational structural modeling contextualized VUS phosphopeptide interactions and structural implications.

conclusionsWe provide in silico and functional evidence for the classification of

Indexed as

BRCA1 ProteinBreast NeoplasmsComputational BiologyOvarian NeoplasmsFemaleHumansProtein DomainsBRCA1 ProteinBRCA1 protein, humanBRCA1functional assaysgermline genetic testinghereditary breast cancerhereditary ovarian cancerin silicostructural modelingvariants of uncertain significance

Identifiers

PMID42346254
PMCPMC13298341

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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.