Evidence map›Paper›PMID 40629431›Full record

ArticleBreast cancer research : BCR2025

Mutational landscape of pure ductal carcinoma in situ and associations with disease prognosis and response to radiotherapy.

Noor Rizvi, Eliseos J Mucaki, Emily L Salmini, Monica Zhang, Sabina Trebinjac, Ezra Hahn, Lawrence Paszat, Sharon Nofech-Mozes, Michael T Hallett, Eileen Rakovitch and 1 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Noor RizviDepartment of Biochemistry, Western University, London, Canada.
Eliseos J MucakiDepartment of Biochemistry, Western University, London, Canada.
Emily L SalminiDepartment of Biochemistry, Western University, London, Canada.
Monica ZhangDepartment of Anatomy and Cell Biology, Western University, London, Canada.
Sabina TrebinjacDepartment of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Ezra HahnDepartment of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Lawrence PaszatDepartment of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Sharon Nofech-MozesDepartment of Pathology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Michael T HallettDepartment of Biochemistry, Western University, London, Canada.
Eileen RakovitchDepartment of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Vanessa DumeauxDepartment of Biochemistry, Western University, London, Canada. vdumeaux@uwo.ca.

Funding

Canadian Foundation for Innovation J. Evans Leaders Fund grant #43481Canadian Institute for Health Research #391682
6 · The paper itself

Abstract

backgroundManaging Ductal Carcinoma in Situ (DCIS) remains challenging due to the lack of reliable biomarkers to predict radiotherapy (RT) response, leading to both overtreatment of indolent disease and undertreatment of aggressive cases.

resultsThrough whole-exome sequencing of 147 DCIS cases, we characterized the genomic landscape of pure DCIS and identified genetic alterations associated with the risk of recurrence, either in-situ or invasive. DCIS lesions harbored frequent mutations in established cancer drivers (PIK3CA, TP53) and genes regulating tissue architecture, which likely enhanced pre-invasive cell fitness but lacked prognostic value. A subset of younger patients exhibited distinct mutational processes characterized by high mutational burden, though these were not linked to recurrence risk. Across the cohort, five mostly mutually exclusive genes (SH2B2, PDZD8, MYO7A, MUCL3, DNASE2B), involved in cell adhesion, membrane organization, and DNA degradation, were significantly associated with 10-year risk of local recurrence. In RT-treated patients, we identified 27 additional mutated genes uniquely associated with recurrence, along with SH2B2 and MUCL3. Most of these genes were involved in cytoskeletal regulation, cell adhesion, and cell-environment interactions. Mutations in metabolic regulators (MGAM2 and AADACL3) and REV1, which mediates DNA damage tolerance, may impair cellular responses to RT-induced stress. Notably, we identified distinct genes prognostic for in-situ versus invasive recurrence: nineteen genes predominantly involved in tissue structural maintenance in in-situ relapse, and thirteen genes primarily affecting cell-cycle and genome-stability pathways in invasive progression. Copy number analyses revealed that pure DCIS exhibits molecular subtype-specific patterns characteristic of invasive disease, with novel alterations associated with recurrence, including three non-adjacent gains and five losses in regions harboring oncogenes, tumor suppressor genes, and genes regulating structural integrity, cell-cell adhesion and interactions.

conclusionsWhile TP53, PIK3CA, and recurrent copy number alterations represent early events in tumorigenesis, they lack prognostic value in pure DCIS, underscoring the need for alternative biomarkers. Our findings identify key genetic alterations associated with local recurrence and RT resistance. We further uncovered distinct molecular programs underlying in-situ versus invasive recurrence, with mutations affecting tissue structural maintenance in in-situ relapse and cell-cycle/genome-stability pathways in invasive progression.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingMutationAdultAgedClass I Phosphatidylinositol 3-KinasesExome SequencingFemaleHumansMiddle AgedNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorClass I Phosphatidylinositol 3-Kinases

Identifiers

PMID40629431
PMCPMC12236047

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.