Evidence map›Paper›PMID 31771539›Full record

ArticleBMC cancer2019

Genetic and clinical characterization of BRCA-associated hereditary breast and ovarian cancer in Navarra (Spain).

Ainara Ruiz de Sabando, Edurne Urrutia Lafuente, Fermín García-Amigot, Angel Alonso Sánchez, Lourdes Morales Garofalo, Sira Moreno, Eva Ardanaz, Maria A Ramos-Arroyo

Erratum issuedAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Targeting Breast Cancer: An Overlook on Current Strategies.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Features ofInternational journal of general medicine · 2022
    Article
  12. Prognostic Prediction of BRCA Mutations byMolecular imaging and radionuclide therapy · 2021
    Article
  13. Double Heterozygous Mutations in theBreast care (Basel, Switzerland) · 2021
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ainara Ruiz de SabandoDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain.ORCID http://orcid.org/0000-0003-3634-465X
Edurne Urrutia LafuenteDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain.
Fermín García-AmigotDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain.
Angel Alonso SánchezDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain.
Lourdes Morales GarofaloDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain.
Sira MorenoDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain.
Eva ArdanazIdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
Maria A Ramos-ArroyoDepartment of Medical Genetics, Complejo Hospitalario de Navarra (CHN), Pamplona, Spain. ma.ramos.arroyo@navarra.es.

Funding

Asociación Navarra de Cancer de Mama (SARAY) N/A
6 · The paper itself

Abstract

backgroundGenetic testing for BRCA1/2 genes is widely used as a strategy to reduce incidence and morbidity of hereditary breast and ovarian cancer (HBOC). The purpose of this study is to analyse the demographic and molecular characteristics of BRCA germline mutations in Navarra, Spain, and to investigate the clinical profile of hereditary and sporadic breast cancer (BC) and ovarian cancer (OC) in the Community.

methodsThe study includes 1246 individuals assessed for BRCA1/2 genetic testing in Navarra, during 2000-2016, and a cohort of BC (n = 4384) and OC (n = 561) from the population-based Navarra Cancer Registry. Distribution and molecular characteristics of BRCA1/2 mutations, as well as, comparative analysis of the clinical course, pathologic features and overall survival (OS) of patients in different risk groups were investigated.

resultsBRCA mutation detection rate was 16%, with higher proportion (63%) of BRCA2 families. Nineteen per cent of mutations were recurrent, one of which, BRCA2 c.6024dupG, showed high association to OC. BRCA carriers had double risk (95% CI = 1.04-4.33) of developing multiple malignancies than low risk families and were diagnosed at a much earlier age (16.6 and 11.7 years difference for BC and OC, respectively) when compared to the general population. For BC, BRCA carriers showed a more advanced histological stage, higher risk of bilateral neoplasms (OR = 4.3; 95% CI = 1.3-11.4, for BRCA2 carriers) and worse OS rate at 5-, 10- and 15- years, than women with sporadic tumors. For OC, over 70% of patients of all risk groups showed advanced stages at diagnosis, with the highest among BRCA1 carriers (91%). Furthermore, they also had higher probability of developing ovarian bilateral tumors (OR = 7.8, 95% CI = 1.7-55.7, for BRCA1 carriers) than the general population. Five-year OS rate was worse among women with sporadic OC than BRCA carriers, but it levelled out over the 15-year period.

conclusionsIn addition to national similarities in the HBOC-BRCA1/2 associated mutational spectrum, we identified a recurrent BRCA2 pathogenic variant (c.6024dupG), highly associated to OC in Navarra. Carriers of BRCA1/2 mutations showed a more severe BC and OC phenotype and had a worse overall prognosis when compared to a large cohort of women with sporadic counterpart tumors.

Indexed as

BRCA1/2DemographicsHereditary breast and ovarian cancer (HBOC)Laterality and stage of tumorsNavarraOverall survivalRecurrent mutationsSporadic breast and ovarian cancer

Identifiers

PMID31771539
PMCPMC6880350

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.