Evidence map›Paper›PMID 34261476›Full record

ArticleBMC medical genomics2021

Somatic mutations in benign breast disease tissues and association with breast cancer risk.

Stacey J Winham, Chen Wang, Ethan P Heinzen, Aditya Bhagwate, Yuanhang Liu, Samantha J McDonough, Melody L Stallings-Mann, Marlene H Frost, Robert A Vierkant, Lori A Denison and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

15 authors at 2 institutions in 1 country.

Stacey J WinhamBiomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. Winham.stacey@mayo.edu.ORCID 0000-0002-8492-9102
Chen WangBiomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Ethan P HeinzenBiomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Aditya BhagwateBiomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Yuanhang LiuBiomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Samantha J McDonoughMedical Genome Facility, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Melody L Stallings-MannCancer Biology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA.
Marlene H FrostWomen's Cancer Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Robert A VierkantBiomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Lori A DenisonInformation Technology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Jodi M CarterLaboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Mark E ShermanEpidemiology and Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA.
Derek C RadiskyCancer Biology, Mayo Clinic, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA.
Amy C DegnimBreast, Endocrine, Metabolic and GI Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Julie M CunninghamExperimental Pathology and Laboratory Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Mayo Clinic · USMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Molecular Discriminators in Benign Breast Tissue for Future Risk of ER positive aR01CA187112 · NCI · MAYO CLINIC ROCHESTER · PI DEGNIM, AMY C · 2014 to 2018
$2.9M
National Cancer Institute (US) R01CA187112NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA187112
6 · The paper itself

Abstract

backgroundBenign breast disease (BBD) is a risk factor for breast cancer (BC); however, little is known about the genetic alterations present at the time of BBD diagnosis and how these relate to risk of incident BC.

methodsA subset of a long-term BBD cohort was selected to examine DNA variation across three BBD groups (42 future estrogen receptor-positive (ER+) BC, 36 future estrogen receptor-negative (ER-) BC, and 42 controls cancer-free for at least 16 years post-BBD). DNA extracted from archival formalin fixed, paraffin-embedded (FFPE) tissue blocks was analyzed for presence of DNA alterations using a targeted panel of 93 BC-associated genes. To address artifacts frequently observed in FFPE tissues (e.g., C>T changes), we applied three filtering strategies based on alternative allele frequencies and nucleotide substitution context. Gene-level associations were performed using two types of burden tests and adjusted for clinical and technical covariates.

resultsAfter filtering, the variant frequency of SNPs in our sample was highly consistent with population allele frequencies reported in 1 KG/ExAC (0.986, p < 1e-16). The top ten genes found to be nominally associated with later cancer status by four of 12 association methods(p < 0.05) were MED12, MSH2, BRIP1, PMS1, GATA3, MUC16, FAM175A, EXT2, MLH1 and TGFB1, although these were not statistically significant in permutation testing. However, all 10 gene-level associations had OR < 1 with lower mutation burden in controls compared to cases, which was marginally statistically significant in permutation testing (p = 0.04). Comparing between the three case groups, BBD ER+ cases were closer to controls in mutation profile, while BBD ER- cases were distinct. Notably, the variant burden was significantly higher in controls than in either ER+ or ER- cases. CD45 expression was associated with mutational burden (p < 0.001).

conclusionsSomatic mutations were more frequent in benign breast tissue from women who did not develop cancer, opening questions of clonal diversity or immune-mediated restraint on future cancer development. CD45 expression was positively associated with mutational burden, most strongly in controls. Further studies in both normal and premalignant tissues are needed to better understand the role of somatic gene mutations and their contribution to future cancer development.

Indexed as

Breast NeoplasmsMutationPolymorphism, Single NucleotideAdultAgedBreast DiseasesCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansMiddle AgedRisk FactorsBenign breast diseaseBreast cancer riskCD45 expressionMutation burdenSomatic mutations

Identifiers

PMID34261476
PMCPMC8278587
OpenAlexW3133701090

What OpenQuestion holds

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LicenceCC BY
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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.