Evidence map›Paper›PMID 41512875›Full record

ArticleCell reports. Medicine2026

Mutational landscape of normal breast tissues adjacent to invasive breast cancer.

Aleksandra Suwalska, Mariya Rozenblit, Malini Harigopal, Jiawei Dai, Meng Liu, Jeffrey P Townsend, Michal Marczyk, Lajos Pusztai

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

8 authors.

Aleksandra SuwalskaDepartment of Data Science and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland. Electronic address: aleksandra.suwalska@polsl.pl.
Mariya RozenblitYale Cancer Center, Yale University, New Haven, CT 06510, USA.
Malini HarigopalYale Cancer Center, Yale University, New Haven, CT 06510, USA; Department of Pathology, Mount Sinai Hospital, New York City, NY 10029, USA.
Jiawei DaiYale Cancer Center, Yale University, New Haven, CT 06510, USA.
Meng LiuDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
Jeffrey P TownsendDepartment of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
Michal MarczykDepartment of Data Science and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland; Yale Cancer Center, Yale University, New Haven, CT 06510, USA.
Lajos PusztaiYale Cancer Center, Yale University, New Haven, CT 06510, USA. Electronic address: lajos.pusztai@yale.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with a history of breast cancer are at increased risk of developing a new breast cancer during their lifetime. Rare but high-impact somatic mutations in normal breast tissues may contribute to malignant transformation. We analyze mutations in cancer-relevant pathways across matched samples of peripheral blood, cancer-adjacent normal breast, and breast cancer from patients diagnosed before 50 years of age who carry no germline mutations in cancer-predisposing genes. Gene- and pathway-level mutation profiles and single-base substitution (SBS) signatures are compared between tissue types in two independent cohorts (Yale, n = 24; TCGA, n = 17). Cancer-adjacent normal breast tissue contains multiple acquired somatic mutations that persist in tumors. Most variants are shared across tissue types from the same individual, indicating strong germline influence. The substantial germline contribution to alterations through common and rare polymorphisms in cancer hallmark pathways supports a model of cancer risk based on the collective impact of variants in cancer-related genes.

Indexed as

BreastBreast NeoplasmsMutationAdultFemaleGenetic Predisposition to DiseaseGerm-Line MutationHumansMiddle Agedearly-onset breast cancergermline mutationsmutational landscapepathway enrichment analysissomatic mutations

Identifiers

PMID41512875
PMCPMC12866091

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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.