Evidence map›Paper›PMID 41719331›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Aging-associated differences in mammary tumor-initiating populations and immune evasion pathways in breast cancer.

Pengze Yan, Triet Bui, Ernesto Rojas Jimenez, Yanan Kuang, Shidong Xu, Cloud P Paweletz, Hodaya Haimov, Menachem Sklartz, Ofir Cohen, Sandra S McAllister and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Aging-associated differences in mammary tumor-initiating populations and immune evasion pathways in breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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.

Pengze YanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215.ORCID 0000-0001-8142-0944
Triet BuiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215.
Ernesto Rojas JimenezDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215.
Yanan KuangRobert and Renee Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215.
Shidong XuRobert and Renee Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215.
Cloud P PaweletzRobert and Renee Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02215.
Hodaya HaimovThe Shraga Segal Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.
Menachem SklartzThe Shraga Segal Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.
Ofir CohenThe Shraga Segal Department of Microbiology, Immunology, and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.
Sandra S McAllisterDepartment of Medicine, Harvard Medical School, Boston, MA 02115.
Kornelia PolyakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215.ORCID 0000-0002-5964-0382

Funding

Targeting intratumor heterogeneity in breast cancerR35CA197623 · NCI · DANA-FARBER CANCER INST · PI KORNELIA POLYAK · 2015 to 2026
$12.4M
Breast Cancer Research Foundation (BCRF) NACenter for Strategic Scientific Initiatives, National Cancer Institute (CSSI) CA197623HHS | NIH | NCI | Division of Cancer Prevention, National Cancer Institute (DCP, NCI) CA236754Israel Cancer Research Foundation ICRF 1286740Israel Science Foundation (ISF) ISF 2802/22NCI NIH HHS R35 CA197623Samuel Waxman Cancer Research Foundation (SWCRF) NA
6 · The paper itself

Abstract

Aging is a major risk factor for breast cancer, yet how it shapes tumor development, molecular phenotype, and immune evasion remains incompletely understood. Deciphering how aging influences cancer evolution is critical for improving risk assessment, prevention, and treatment. Here, using a N-nitroso-N-methylurea (NMU)-induced rat mammary tumor model that recapitulates key features of human breast cancer, we integrated bulk and single-cell transcriptomics, whole-exome sequencing, and histopathological analysis to dissect age-associated differences in mammary tumorigenesis. We found that the age at NMU exposure critically influences tumor incidence, mutational burden, molecular subtype, and the tumor immune microenvironment. Tumors arising in aged rats originated from aging luminal progenitor-like cells, exhibited increased genomic instability, reduced immune cell infiltration, and impaired antigen presentation linked to loss of heterozygosity at chromosome (Chr) 20p. The age-associated epithelial and immune changes we identified were conserved in human breast cancers, where the loss of the homologous Chr 6p region correlated with reduced lymphocyte infiltration and shorter relapse-free survival. These findings reveal that aging profoundly affects tumor-initiating cell populations and promotes immune evasion through chromosomal instability-driven defects in antigen presentation. Our work provides a molecular basis for understanding disease onset and progression that may impact efficacy of immunotherapy in older breast cancer patients.

Indexed as

AgingBreast NeoplasmsImmune EvasionMammary Neoplasms, ExperimentalTumor EscapeAnimalsFemaleHumansImmunoediting, CancerMethylnitrosoureaRatsTumor MicroenvironmentMethylnitrosoureaagingbreast cancerchromosomal instabilityimmune evasion

Identifiers

PMID41719331
PMCPMC12933083

What OpenQuestion 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 OpenQuestion graph.