ArticleFamilial cancer2014
BRCA1 point mutations in premenopausal breast cancer patients from Central Sudan.
Article in Familial cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Cancer genetic mutation prevalence in sub-Saharan Africa: A review of existing data.Seminars in oncology · 2023Review
- Breast Cancer Germline Genetic Counseling and Testing for Populations of African Heritage Globally: A Scoping Review on Research, Practice, and Bioethical Considerations.JCO global oncology · 2023Article
- Investigation of triple-negative breast cancer risk alleles in an International African-enriched cohort.Scientific reports · 2021Article
- A Review of Cancer Genetics and Genomics Studies in Africa.Frontiers in oncology · 2020Review
- BRCA1 and BRCA2 pathogenic sequence variants in women of African origin or ancestry.Human mutation · 2019Article
- Germline TP53 mutation spectrum in Sudanese premenopausal breast cancer patients: correlations with reproductive factors.Breast cancer research and treatment · 2019Article
- Clonal lineage of high grade serous ovarian cancer in a patient with neurofibromatosis type 1.Gynecologic oncology reports · 2018Article
- Genetics of breast cancer in African populations: a literature review.Global health, epidemiology and genomics · 2018Review
- Developing a risk prediction model for breast cancer: a Statistical Utility to Determine Affinity of Neoplasm (SUDAN-CA Breast).European journal of medical research · 2017Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premenopausal breast cancer (BC) is one of the most common cancers of women in rural Africa and part of the disease load may be related to hereditary predisposition, including mutations in the BRCA1 gene. However, the BRCA1 mutations associated with BC in Africa are scarcely characterized. We report here 33 BRCA1 point mutations, among which 2 novel missense variants, found in 59 Central Sudanese premenopausal BC patients. The high fractions of mutations with intercontinental and uniquely African distribution (17/33, 51.5 % and 14/33, 42.4 %, respectively) are in agreement with the high genetic diversity expected in an African population. Overall 24/33 variants (72.7 %) resulted neutral; 8/33 of unknown significance (24.3 %, including the 2 novel missense mutations); 1 (3.0 %) overtly deleterious. Notably, in silico studies predict that the novel C-terminal missense variant c.5090G>A (p.Cys1697Tyr) affects phosphopeptide recognition by the BRCA1 BRCT1 domain and may have a pathogenic impact. Genetic variation and frequency of unique or rare mutations of uncertain clinical relevance pose significant challenges to BRCA1 testing in Sudan, as it might happen in other low-resource rural African contexts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.