Evidence map›Paper›PMID 41512289›Full record

ArticleJournal of the National Cancer Institute2026

Postpartum breast cancer: evidence for a distinct phenotype.

Mark E Sherman, Lola Etievant, Robert A Vierkant, Stacey J Winham, Kathryn J Ruddy, Laura Pacheco-Spann, Daniel P Wickland, Nicole Cruz-Reyes, Melody Stallings-Mann, Derek Radisky and 14 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 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

24 authors.

Mark E ShermanQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0002-9222-8808
Lola EtievantDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-7562-3550
Robert A VierkantQuantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
Stacey J WinhamQuantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-8492-9102
Kathryn J RuddyDepartment of Oncology, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-6298-332X
Laura Pacheco-SpannQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0002-6531-8840
Daniel P WicklandQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0001-5313-6276
Nicole Cruz-ReyesDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0002-7511-6169
Melody Stallings-MannDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0003-3227-6063
Derek RadiskyDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0002-1962-8784
E Aubrey ThompsonDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.ORCID 0000-0002-9001-4240
Jennifer M KachergusDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.
Ji ShiDepartment of Cancer Biology, Mayo Clinic, Jacksonville, FL, United States.ORCID 0009-0001-9696-8627
Shoshana M RosenbergMedical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.
Craig SnowMedical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.ORCID 0009-0007-1572-4895
Gregory J KirknerMedical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.ORCID 0009-0005-0386-5223
Lidia SchapiraDepartment of Medicine, Division of Medical Oncology, Stanford University, Stanford, CA, United States.
Jeffrey M PeppercornDepartment of Medicine, Division of Medical Oncology, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0001-7138-6404
Steven ComeMedical Oncology, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID 0000-0001-8136-2908
Virginia F BorgesMedical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID 0000-0003-1158-7524
Ellen WarnerDepartment of Medicine, Division of Medical Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Laura C CollinsPathology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
Ann H PartridgeMedical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.ORCID 0000-0002-4722-4824
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-7791-2698

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Targeted Prevention of Postpartum-Related Breast Cancer (PRBC)R01CA262393 · NCI · MAYO CLINIC JACKSONVILLE · PI Derek C Radisky, Kathryn Jean Ruddy · 2022 to 2026
$3.0M
National Cancer Institute of the National Institutes of Health to the Mayo Clinic Comprehensive Cancer Center P30CA015083NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA262393
6 · The paper itself

Abstract

backgroundThe incidence of early onset breast cancers (BCs) has increased, paralleling rising trends in delayed childbearing. We hypothesize that a distinct postpartum BC (PPBC) subtype, identifiable by time since last birth (TSLB) and biomarker expression, contributes to this trend.

methodsWe applied GeoMx Digital Spatial Profiling (DSP) to measure associations between TSLB and 71 proteins in 640 BCs from women aged ≤40 years included in the Young Women's Breast Cancer Study. We analyzed data using univariable linear regression and multivariable sliced inverse regression to account for higher order interactions among biomarkers.

resultsIn keratin-rich segments, progesterone receptor (PR) (P = 1.00 × 10-4) and PTEN (P = 1.00 × 10-3) were associated with longer TSLB; multivariable analyses revealed positive associations for GZMB (P = 4.00 × 10-4), SMA (P = 1.00 × 10-4), and NF-1 (P = 1.00 × 10-3). In keratin-poor segments, univariable significant positive associations were found for PR (P = 2.00 × 10-4) and PTEN (P = 1.00 × 10-3), whereas CD20 (P = 3.00 × 10-4) and CTLA4 (P = 4.00 × 10-5) were negatively associated; multivariable significant associations were found for fibronectin (P = 3.00 × 10-5) and pan-Akt (P = 1.00 × 10-3). Associations persisted after adjustment for multiple comparisons and BC molecular subtypes. Associations including for PR, PTEN, and CD20 were strongest among women with the shortest TSLB. OPAL multiplex immunofluorescence assays for PR, PTEN, CD20, SMA, and CTLA4 replicated several DSP findings, particularly when stratified by subtype and with compartment matching. In TCGA, RNA species linked to proteins associated with TSLB correlated strongly with a T-cell exhaustion signature previously linked to poor prognosis among premenopausal women.

conclusionThese data support PPBC as a biologically coherent phenotype defined by TSLB and biomarker profile, with potential implications for prevention and therapy.

Indexed as

Biomarkers, TumorBreast NeoplasmsPostpartum PeriodAdultFemaleHumansKeratinsPhenotypePTEN PhosphohydrolaseReceptors, ProgesteroneYoung AdultBiomarkers, TumorKeratinsPTEN PhosphohydrolasePTEN protein, humanReceptors, Progesterone

Identifiers

PMID41512289
PMCPMC13155230

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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.