Evidence map›Paper›PMID 29879995›Full record

ArticleJournal of translational medicine2018

Family specific genetic predisposition to breast cancer: results from Tunisian whole exome sequenced breast cancer cases.

Yosr Hamdi, Maroua Boujemaa, Mariem Ben Rekaya, Cherif Ben Hamda, Najah Mighri, Houda El Benna, Nesrine Mejri, Soumaya Labidi, Nouha Daoud, Chokri Naouali and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
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  11. Genes · 2022
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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

18 authors at 3 institutions in 1 country.

Yosr HamdiLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia. yosr.hamdi.82@gmail.com.ORCID 0000-0002-2815-1834
Maroua BoujemaaLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Mariem Ben RekayaLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Cherif Ben HamdaLaboratory of Bioinformatics, Biomathematics and Biostatistics, LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.
Najah MighriLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Houda El BennaDepartment of Medical Oncology, Abderrahmane Mami Hospital, Ariana, Tunisia.
Nesrine MejriDepartment of Medical Oncology, Abderrahmane Mami Hospital, Ariana, Tunisia.
Soumaya LabidiDepartment of Medical Oncology, Abderrahmane Mami Hospital, Ariana, Tunisia.
Nouha DaoudDepartment of Medical Oncology, Abderrahmane Mami Hospital, Ariana, Tunisia.
Chokri NaoualiLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Olfa MessaoudLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Mariem CharguiLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Kais GhediraLaboratory of Bioinformatics, Biomathematics and Biostatistics, LR16IPT09, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia.
Mohamed Samir BoubakerLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
Ridha MradDepartment of Human Genetics, Charles Nicolle Hospital, Tunis, Tunisia.
Hamouda BoussenDepartment of Medical Oncology, Abderrahmane Mami Hospital, Ariana, Tunisia.
Sonia AbdelhakLaboratory of Biomedical Genomics and Oncogenetics, LR16IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur-BP 74, 1002, Tunis, Tunisia.
PEC Consortium
Tunis University · TNAbderrahmane Mami Hospital · TNHôpital Charles-Nicolle · TN

Funding

FP7 Research infrastructures 295097Tunisian ministry of public health PEC-4-TUN
6 · The paper itself

Abstract

backgroundA family history of breast cancer has long been thought to indicate the presence of inherited genetic events that predispose to this disease. In North Africa, many specific epidemio-genetic characteristics have been observed in breast cancer families when compared to Western populations. Despite these specificities, the majority of breast cancer genetics studies performed in North Africa remain restricted to the investigation of the BRCA1 and BRCA2 genes. Thus, comprehensive data at a whole exome or whole genome level from local patients are lacking.

methodsA whole exome sequencing (WES) of seven breast cancer Tunisian families have been performed using a family-based approach. We focused our analysis on BC-TN-F001 family that included two affected members that have been sequenced using WES. Relevant variants identified in BC-TN-F001 have been confirmed using Sanger sequencing. Then, we conducted an integrative analysis by combining our results with those from other WES studies in order to figure out the genetic transmission model of the newly identified genes. Biological network construction and protein-protein interactions analyses have been performed to decipher the molecular mechanisms likely accounting for the role of these genes in breast cancer risk.

resultsSequencing, filtering strategies, and validation analysis have been achieved. For BC-TN-F001, no deleterious mutations have been identified on known breast cancer genes. However, 373 heterozygous, exonic and rare variants have been identified on other candidate genes. After applying several filters, 12 relevant high-risk variants have been selected. Our results showed that these variants seem to be inherited in a family specific model. This hypothesis has been confirmed following a thorough analysis of the reported WES studies. Enriched biological process and protein-protein interaction networks resulted in the identification of four novel breast cancer candidate genes namely MMS19, DNAH3, POLK and KATB6.

conclusionsIn this first WES application on Tunisian breast cancer patients, we highlighted the impact of next generation sequencing technologies in the identification of novel breast cancer candidate genes which may bring new insights into the biological mechanisms of breast carcinogenesis. Our findings showed that the breast cancer predisposition in non-BRCA families may be ethnic and/or family specific.

Indexed as

Breast NeoplasmsExome SequencingGenetic Predisposition to DiseaseAllelesFamilyFemaleGenes, NeoplasmGenetic Association StudiesGenetic VariationHumansPedigreeProtein Interaction MapsTunisiaBreast cancerExome sequencingFamily specific predispositionNon BRCA Tunisian families

Identifiers

PMID29879995
PMCPMC5992876
OpenAlexW2805971132

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.