In one paragraphArticle in bioRxiv : the preprint server for biology, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
M-Iliana Ibañez-RiosInstitut de Recherche en Immunologie et Cancérologie, and Département de Pathologie et Biologie Cellulaire, Université de Montréal, Montreal, QC, Canada.
Syed Mohammed Musheer AalamDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-8566-197X Megan L RittingDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-8532-2102 Ashlyn JoreDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Keyur ChaludiaDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Chitra Priya EmperumalDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-9208-9406 Sarah A McLaughlinDivision of Surgical Oncology, Mayo Clinic, Jacksonville, FL, USA.
Fergus J CouchDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-9417-9985 Anguraj SadanandamDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-8485-5150 David J H F KnappInstitut de Recherche en Immunologie et Cancérologie, and Département de Pathologie et Biologie Cellulaire, Université de Montréal, Montreal, QC, Canada.ORCID 0000-0002-2161-9959 Nagarajan KannanDivision of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-8825-2178 Funding
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9MUse of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI SCOTT H KAUFMANN · 2009 to 2026
$37.0MResolving the cancer relevance of predisposition gene mutationsR35CA253187 · NCI · MAYO CLINIC ROCHESTER · PI Fergus Joseph Couch · 2020 to 2026
$5.8MPredoctoral Training Program in Molecular PharmacologyT32GM144233 · NIGMS · MAYO CLINIC ROCHESTER · PI DOO-SUP CHOI · 2022 to 2026
$1.5MNCI NIH HHS P50 CA116201NCI NIH HHS P50 CA136393NCI NIH HHS R35 CA253187NIGMS NIH HHS T32 GM144233
6 · The paper itselfAbstract
The normal adult male breast has not been characterized at single-cell resolution, leaving the cellular basis of male breast cancer (MBC) biology undefined. Here we present an integrated single-cell RNA sequencing atlas of the adult human breast comprising 174,471 cells from 17 donors (3 male, 14 female), including 18,117 male-derived cells. This revealed that the male breast retains all three epithelial populations, basal (BC), luminal progenitor (LP), and luminal committed cells (LC), but with an increase in LC at the expense of BC and LP across all three male donors. Male LC were distinguished from female by elevated
Identifiers
PMID41959192
PMCPMC13060133
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