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Open AccessJournal ArticleDOI

Progesterone signalling in breast cancer: a neglected hormone coming into the limelight.

TLDR
If the findings in the mouse model translate to humans, new preventive and therapeutic perspectives might open up in breast cancer prevention and therapy.
Abstract
Understanding the biology of the breast and how ovarian hormones impinge on it is key to rational new approaches in breast cancer prevention and therapy. Because of the success of selective oestrogen receptor modulators (SERMs), such as tamoxifen, and aromatase inhibitors in breast cancer treatment, oestrogens have long received the most attention. Early progesterone receptor (PR) antagonists, however, were dismissed because of severe side effects, but awareness is now increasing that progesterone is an important hormone in breast cancer. Oestrogen receptor-α (ERα) signalling and PR signalling have distinct roles in normal mammary gland biology in mice; both ERα and PR delegate many of their biological functions to distinct paracrine mediators. If the findings in the mouse model translate to humans, new preventive and therapeutic perspectives might open up.

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MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices.

TL;DR: Tagging live single cells and nuclei with lipid- or cholesterol-modified oligonucleotides enables massive scRNA-seq sample multiplexing, identifies doublets and recovers cells with low RNA content.
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Sexual dimorphism in cancer.

TL;DR: This Opinion article focuses on the complex interplay that sex hormones and sex chromosomes can have in intrinsic control of cancer-initiating cell populations, the tumour microenvironment and systemic determinants of cancer development, such as the immune system and metabolism.
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State of the evidence 2017: an update on the connection between breast cancer and the environment

TL;DR: Evidence from epidemiological studies, as well as a better understanding of mechanisms linking toxicants with development of breast cancer, all reinforce the conclusion that exposures to these substances – many of which are found in common, everyday products and byproducts – may lead to increased risk of developing breast cancer.
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Progesterone action in breast, uterine, and ovarian cancers

TL;DR: Understanding the complexity of context-dependent PR actions in these tissues is critical to developing new models that will allow us to advance the knowledge base with the goal of revealing novel and efficacious therapeutic regimens for these hormone-responsive diseases.
References
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Journal ArticleDOI

Meta-Analysis: A Constantly Evolving Research Integration Tool

TL;DR: The four articles in this special section onMeta-analysis illustrate some of the complexities entailed in meta-analysis methods and contributes both to advancing this methodology and to the increasing complexities that can befuddle researchers.
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Molecular portraits of human breast tumours

TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
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Risks and benefits of estrogen plus progestin in healthy postmenopausal women: Principal results from the Women's Health Initiative randomized controlled trial

TL;DR: Overall health risks exceeded benefits from use of combined estrogen plus progestin for an average 5.2-year follow-up among healthy postmenopausal US women, and the results indicate that this regimen should not be initiated or continued for primary prevention of CHD.
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A genetic model for colorectal tumorigenesis

TL;DR: A model for the genetic basis of colorectal neoplasia that includes the following salient features is presented, which may be applicable to other common epithelial neoplasms, in which tumors of varying stage are more difficult to study.
Journal ArticleDOI

Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
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