Evidence map›Paper›PMID 39775979›Full record

ArticleMolecular biology reports2025

Identification of the novel BRCA1 c.2463_2464delTA mutation in two high grade serous ovarian cancer sisters and potential dosage effects implications: a case report.

Valentina Lombardo, Giuseppa Scandurra, Angela Pettinato, Giovanni Luca Scaglione, Paolo Scollo, Ettore D Capoluongo

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Valentina LombardoDepartment of Medical Oncology, A.O.E. Cannizzaro, Catania, Italy.ORCID http://orcid.org/0000-0002-0446-6436
Giuseppa ScandurraDepartment of Medical Oncology, A.O.E. Cannizzaro, Catania, Italy.ORCID http://orcid.org/0000-0001-8025-581X
Angela PettinatoDepartment of Pathological Anatomy, A.O.E. Cannizzaro, Catania, Italy.
Giovanni Luca ScaglioneBioinformatics Unit, Istituto Dermopatico dell'Immacolata, IDI-IRCCS, Rome, Italy.ORCID http://orcid.org/0000-0001-5622-7843
Paolo ScolloFaculty of Medicine, "Kore" University, Enna, Italy.ORCID http://orcid.org/0000-0001-6275-7488
Ettore D CapoluongoDepartment of Clinical Pathology, San Giovanni Addolorata Hospital, Rome, Italy. edotto70@gmail.com.ORCID http://orcid.org/0000-0003-4402-8403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian Cancer is one of the leading causes of cancer death among women worldwide and the therapeutic landscape to treat it is constantly evolving. One of the major points of decision for the treatment choice is the presence of some genomic alterations that could confer sensitivity to the new available therapies including inhibitors of poly (ADP-ribose) polymerase (PARPi) with BRCA1 and 2 genes playing the most important role. METHODS AND

resultsWe performed the search for any somatic and/or germline alteration in patient's samples by next generation sequencing (NGS). On two patients, our bioinformatic tools allowed us to correctly classify the c.2463_2464delTA BRCA1 new variant.

conclusionsThe novel BRCA1 c.2463_2464delTA variant which falls into the DNA Binding Domain (DBD) of the BRCA1 gene can be considered as a variant of clinical significance due to the peculiar family and personal history of patients.

Indexed as

BRCA1 ProteinOvarian NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansMutationPedigreeSiblingsBRCA1 ProteinBRCA1 protein, humanBRCACase reportNext generation sequencingOvarian cancer

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.