ReviewEndocrinology2018
Deciphering Steroid Receptor Crosstalk in Hormone-Driven Cancers.
Review in Endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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.
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.
Who cites it
47 citing papers in PubMed, 70 citations in OpenAlex.
- Beyond the canonical view: steroid receptor network plasticity and mechanosensitive chromatin integration in breast cancer.NAR cancer · 2026Review
- Targeting microRNA let-7b-5p-mediated aberrant androgen receptor signaling for prevention of hormone receptor-negative breast cancer.NPJ breast cancer · 2026Article
- STDrug enables spatially informed personalized drug repurposing from spatial transcriptomics.bioRxiv : the preprint server for biology · 2026Article
- Progesterone receptors drive advanced breast cancer phenotypes including circulating tumor- and stem-like cell expansion in the context of ESR1 mutation.NPJ breast cancer · 2026Article
- Progesterone receptors drive advanced breast cancer phenotypes including circulating tumor- and stem-like cell expansion in the context ofbioRxiv : the preprint server for biology · 2025Article
- Transcriptional drivers and endocrine disorders.Endocrine connections · 2025Article
- Decoding sex differences in human immunity through systems immunology.Oxford open immunology · 2025Review
- Receptor tyrosine kinases and steroid hormone receptors in breast cancer:Metabolism open · 2024Review
- High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells.Toxicology and applied pharmacology · 2024Article
- Glucocorticoid receptor: a harmonizer of cellular plasticity in breast cancer-directs the road towards therapy resistance, metastatic progression and recurrence.Cancer metastasis reviews · 2024Review
- Article
- Multiomic analysis implicates nuclear hormone receptor signalling in clustering epilepsy.Translational psychiatry · 2024Review
- Global expression analysis of endometrial cancer cells in response to progesterone identifies new therapeutic targets.The Journal of steroid biochemistry and molecular biology · 2023Article
- Hormone-Dependent Cancers: New Aspects on Biochemistry and Molecular Pathology.International journal of molecular sciences · 2023Article
- Recent Advances in Transcription Factors Biomarkers and Targeted Therapies Focusing on Epithelial-Mesenchymal Transition.Cancers · 2023Review
- Membrane Progesterone Receptors (mPRs/PAQRs) Are Going beyond Its Initial Definitions.Membranes · 2023Review
- Expression of hormone receptors is associated with specific immunological profiles of the breast cancer microenvironment.Breast cancer research : BCR · 2023Article
- Editorial: Steroid hormone receptors and cell cycle in breast cancer.Frontiers in endocrinology · 2023Article
- Mechanisms behind context-dependent role of glucocorticoids in breast cancer progression.Cancer metastasis reviews · 2022Review
- PRMT1, a Key Modulator of Unliganded Progesterone Receptor Signaling in Breast Cancer.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Steroid hormone receptors (SRs) have a multitude of functions in human biology and disease progression. The SR family of related ligand-activated transcription factors includes androgen, estrogen, glucocorticoid, mineralocorticoid, and progesterone receptors. Antiestrogen or estrogen receptor (ER)-targeted therapies to block ER action remain the primary treatment of luminal breast cancers. Although this strategy is successful, ∼40% of patients eventually relapse due to endocrine resistance. The majority of hormone-independent tumors retain some level of SR expression, but sidestep hormone ablation treatments. SRs are known to crosstalk extensively with kinase signaling pathways, and this interplay has been shown to bypass ER-targeted therapies in part by providing alternative proliferation and survival signals that enable hormone independence. Modified receptors adopt alternate conformations that resist antagonism or promote agonism. SR-regulated transcription and SR-binding events have been classically studied as single receptor events using single hormones. However, it is becoming increasingly evident that individual steroids and SRs rarely act alone. Emerging evidence shows that coexpressed SRs crosstalk with each other in hormone-driven cancers, such as breast and prostate. Crosstalk between related SRs allows them to modulate signaling and transcriptional responses to noncognate ligands. This flexibility can lead to altered genomic binding and subsequent changes in SR target gene expression. This review will discuss recent mechanistic advances in elucidating SR crosstalk and the implications for treating hormone-driven cancers. Understanding this crosstalk (i.e., both opposing and collaborative) is a critical step toward expanding and modernizing endocrine therapies and will ultimately improve patient outcomes.
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Registered trials
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.