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Luminal and Basal Subtypes Across Carcinomas: Molecular Programs Beyond Tissue of Origin
Celia Gaona-Romero1,2, María Emilia Domínguez-Recio1,3, Iñaki Comino-Méndez1,2
1Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29010 Malaga, Spain.
Cancers
|August 28, 2025
Summary
Carcinomas exhibit luminal and basal subtypes across various cancers, impacting clinical behavior. Understanding these basal-like traits can improve cancer classification and treatment strategies.
Area of Science:
- Oncology
- Cancer Biology
- Epithelial Biology
Background:
- Carcinomas arise from polarized epithelia with distinct luminal and basal cell properties.
- Luminal and basal traits in carcinomas correlate with molecular profiles, clinical behavior, and patient outcomes.
- Luminal/basal subtyping, first defined in breast cancer, reveals shared biological programs across different cancer types.
Purpose of the Study:
- To review advances in understanding the basal-like subtype of epithelial tumors from 2010-2024.
- To integrate findings on luminal/basal subtyping across various carcinoma types.
- To clarify the role of luminal and basal subtypes in refining cancer classification, prognosis, and therapy.
Main Methods:
- Systematic review of key studies on basal-like subtypes in epithelial tumors (2010-2024).
- Analysis of studies applying luminal/basal subtyping in large carcinoma cohorts and single tumor types.
- Integration of findings to synthesize current understanding and future potential.
Main Results:
- Basal phenotypes are consistently linked to aggressive disease and specific treatment vulnerabilities in multiple carcinoma types.
- Luminal/basal subtyping transcends traditional histological and anatomical classifications.
- Evidence supports shared biological programs underlying luminal and basal differentiation across diverse epithelial cancers.
Conclusions:
- Luminal and basal subtyping offers a biology-driven framework for cancer classification.
- This subtyping approach has the potential to enhance prognostic accuracy.
- Understanding luminal/basal subtypes can guide more precise therapeutic decision-making in carcinomas.
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