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The human mammary epithelium contains a subset of luminal progenitor (LP) cells that are distinct from basal cells in both lineage potential and redox biology. LPs are uniquely equipped to tolerate oxidative stress through glutathione-independent mechanisms and have been implicated as candidate cells of origin in basal-like breast cancers. In this study, we identify the receptor tyrosine kinase (RTK) cKIT (CD117), as a defining feature of LPs and a key mediator of their expansion. cKIT is developmentally restricted to the LP compartment via Polycomb-mediated epigenetic repression in basal and luminal-committed cells. It is expressed in scattered epithelial cells within both ductal and alveolar regions of resting human mammary glands. Using RTK-engineered MCF10A models, we demonstrate that cKIT ligand/stem cell factor (SCF)-activated wildtype cKIT signaling is sufficient to drive proliferation in the absence of epidermal growth factor (EGF) and that cKIT is responsive not only to canonical ligands but also to hydrogen peroxide (HO). In primary human LPs, cKIT is rapidly phosphorylated upon exposure to SCF and HO, with concomitant AKT activation. These responses are enhanced when cKIT and EGFR signaling are co-engaged, suggesting a cooperative mitogenic program. In mammary gland, phosphorylation of the antioxidant enzyme PRDX1 is selectively detected in LPs, consistent with a floodgate model of redox signaling in which transient oxidative inactivation of peroxiredoxins (PRDXs) facilitates RTK signaling under elevated intracellular reactive oxygen species conditions. Clinically, elevated cKIT expression is associated with shorter progression-free survival in certain basal-like breast cancer, supporting a link between LP-like redox signaling states and aggressive tumor behavior. Together, these findings define a redox-integrated RTK signaling axis centered on cKIT that drives LP expansion and is associated with poor outcomes in a subset of basal breast cancers. This work establishes a mechanistic framework for targeting redox-responsive progenitor populations in both regenerative and oncologic context.
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http://dx.doi.org/10.1101/2025.07.15.665005 | DOI Listing |
JMIR Cancer
September 2025
Cancer Patients Europe, Rue de l'Industrie 24, Brussels, 1000, Belgium.
Background: Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programs remains suboptimal due to discomfort, radiation exposure, and accessibility issues. Thermography, particularly when driven by artificial intelligence (AI), is being explored as a noninvasive, radiation-free alternative.
View Article and Find Full Text PDFEpidemiol Serv Saude
September 2025
Universidade Estadual do Norte do Paraná, Programa de Pós-Graduação em Enfermagem em Atenção Primária à Saúde Bandeirantes, PR, Brazil.
Objectives: To analyze the temporal trend and identify spatial clusters of breast cancer mortality in Paraná state between 2012 and 2021.
Methods: This was a time series study, with spatial analysis of breast cancer mortality rates in the 399 municipalities of Paraná. Data were selected from the Mortality Information System.
Cien Saude Colet
August 2025
Faculdade de Medicina da Universidade Federal de Pelotas. Pelotas RS Brasil.
The objective of this study was to analyze the characteristics of avoidable mortality in the population aged five to 69 years living in the city of Pelotas/RS, comparing it with the rest of the state of Rio Grande do Sul, from 2000 to 2021. An ecological study was conducted analyzing avoidable mortality coefficients according to sex and age, from 2000 to 2021. The data source was the Mortality Information System, and the trend analysis was performed using Prais-Winsten regression, with standardization of coefficients.
View Article and Find Full Text PDFCien Saude Colet
August 2025
Programa de Pós-Graduação em Nutrição e Saúde, Universidade Estadual do Ceará. R. Betel 1958, Itaperi. 60714-230 Fortaleza CE Brasil.
This study aimed to evaluate mortality due to female breast cancer attributable to overweight and obesity and to estimate the number of preventable deaths with a reduction in the Body Mass Index in Brazil. An ecological study was carried out with investigation of information on overweight, obesity, sociodemographic characteristics based on a national survey carried out in 2013-14; breast cancer mortality rate in 2019 using the Online Atlas of Mortality and Relative Risk Meta-Analyses. The Potential Impact Fraction analysis was carried out, considering the following counterfactual scenarios related to the reduction in BMI: Scenario A - population contingent of women that make up the prevalence of overweight and obesity now composes the prevalence of eutrophy; Scenario B - population contingent of women that make up the prevalence of overweight starts to make up the prevalence of eutrophy; Scenario C - population contingent of women that make up the prevalence of obesity becomes part of the prevalence of overweight.
View Article and Find Full Text PDFSci Adv
September 2025
Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
Breastfeeding is essential for reducing infant morbidity and mortality, yet exclusive breastfeeding rates remain low, often because of insufficient milk production. The molecular causes of low milk production are not well understood. Fresh milk samples from 30 lactating individuals, classified by milk production levels across postpartum stages, were analyzed using genomic and microbiome techniques.
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