Evidence map›Paper›PMID 40119428›Full record

ArticleBreast cancer research : BCR2025

Evolutionary measures show that recurrence of DCIS is distinct from progression to breast cancer.

Angelo Fortunato, Diego Mallo, Luis Cisneros, Lorraine M King, Aziz Khan, Christina Curtis, Marc D Ryser, Joseph Y Lo, Allison Hall, Jeffrey R Marks and 2 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Angelo Fortunato *Arizona Cancer Evolution Center and Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ, 85281, USA.
Diego Mallo *Arizona Cancer Evolution Center and Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ, 85281, USA.
Luis Cisneros *Arizona Cancer Evolution Center and Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ, 85281, USA.
Lorraine M KingDuke University School of Medicine, Durham, NC, 27710, USA.
Aziz KhanDepartment of Medicine, Genetics, and Biomedical Data Science Stanford School of Medicine, Stanford, CA, 94305, USA.
Christina CurtisDepartment of Medicine, Genetics, and Biomedical Data Science Stanford School of Medicine, Stanford, CA, 94305, USA.
Marc D RyserDuke University School of Medicine, Durham, NC, 27710, USA.
Joseph Y LoDuke University School of Medicine, Durham, NC, 27710, USA.
Allison HallDuke University School of Medicine, Durham, NC, 27710, USA.
Jeffrey R MarksDuke University School of Medicine, Durham, NC, 27710, USA.
E Shelley Hwang *Duke University School of Medicine, Durham, NC, 27710, USA.
Carlo C Maley *Arizona Cancer Evolution Center and Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ, 85281, USA. maley@asu.edu.

Funding

Molecular, Cellular and Tissue Characterization UnitU2CCA233254 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY · 2018 to 2023
$11.4M
The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO · 2018 to 2022
$8.6M
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2R01CA140657 · NCI · WISTAR INSTITUTE · PI Carlo Maley · 2009 to 2026
$5.0M
A cell-cycle induced genetic recorder for simultaneous recovery of cell divisions and lineageR21CA257980 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MALEY, CARLO, WEISS, RON · 2022 to 2023
$576k
Arizona Biomedical Research Commission ADHS18-198847Congressionally Directed Medical Research Programs BC132057NCI NIH HHS R01 CA140657NCI NIH HHS R21 CA257980NCI NIH HHS U2C CA233254NCI NIH HHS U54 CA217376NIH HHS U2C CA233254NIH HHS U54 CA217376
6 · The paper itself

Abstract

backgroundProgression from pre-cancers like ductal carcinoma in situ (DCIS) to invasive disease (cancer) is driven by somatic evolution and is altered by clinical interventions. We hypothesized that genetic and/or phenotypic intra-tumor heterogeneity would predict clinical outcomes for DCIS since it serves as the substrate for natural selection among cells.

methodsWe profiled two samples from two geographically distinct foci from each DCIS in both cross-sectional (n = 119) and longitudinal cohorts (n = 224), with whole exome sequencing, low-pass whole genome sequencing, and a panel of immunohistochemical markers.

resultsIn the longitudinal cohorts, the only statistically significant associations with time to non-invasive DCIS recurrence were the combination of treatment (lumpectomy only vs mastectomy or lumpectomy with radiation, HR 12.13, p = 0.003, Wald test with FDR correction), ER status (HR 0.16 for ER+ compared to ER-, p = 0.0045), and divergence in SNVs between the two samples (HR 1.33 per 10% divergence, p = 0.018). SNV divergence also distinguished between pure DCIS and DCIS synchronous with invasive disease in the cross-sectional cohort. In contrast, the only statistically significant associations with time to progression to invasive disease were the combination of the width of the surgical margin (HR 0.67 per mm, p = 0.043) and the number of mutations that were detectable at high allele frequencies (HR 1.30 per 10 SNVs, p = 0.02). No predictors were significantly associated with both DCIS recurrence and progression to invasive disease, suggesting that the evolutionary scenarios that lead to these clinical outcomes are markedly different.

conclusionsThese results imply that recurrence with DCIS is a clinical and biological process different from invasive progression.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingNeoplasm Recurrence, LocalAdultAgedBiomarkers, TumorCross-Sectional StudiesDisease ProgressionExome SequencingFemaleHumansLongitudinal StudiesMiddle AgedPrognosisBiomarkers, TumorBreast cancerCopy number alterationsDuctal carcinoma in situEvolutionary biomarkersIntratumor heterogeneityInvasive ductal carcinomaProgressionRecurrenceSingle nucleotide variantsTumor evolution

Identifiers

PMID40119428
PMCPMC11929273

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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.