ReviewSteroids2013
Local endocrine, paracrine and redox signaling networks impact estrogen and androgen crosstalk in the prostate cancer microenvironment.
Review in Steroids, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 19 citations in OpenAlex.
- Research advances on the risk of prostate cancer from phthalates exposure: from epidemiological evidence to multidimensional prevention and control.Frontiers in cell and developmental biology · 2025Review
- Review
- Estrogen Receptors Promote Migration, Invasion and Colony Formation of the Androgen-Independent Prostate Cancer Cells PC-3 Through β-Catenin Pathway.Frontiers in endocrinology · 2020Article
- Review
- Activation of Estrogen Receptor Alpha by Decitabine Inhibits Osteosarcoma Growth and Metastasis.Cancer research · 2019Article
- Metabolic syndrome in prostate cancer: impact on risk and outcomes.Future oncology (London, England) · 2016Review
- The Regulation of Steroid Action by Sulfation and Desulfation.Endocrine reviews · 2015Review
- Disruptive environmental chemicals and cellular mechanisms that confer resistance to cell death.Carcinogenesis · 2015Review
- The potential for chemical mixtures from the environment to enable the cancer hallmark of sustained proliferative signalling.Carcinogenesis · 2015Review
- Environmental immune disruptors, inflammation and cancer risk.Carcinogenesis · 2015Review
- The role of estrogen receptor β in prostate cancer.Molecular medicine (Cambridge, Mass.) · 2014Review
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 1 institution in 1 country.
Funding
Abstract
Androgen receptor (AR) signaling is essential for the initial development and progression of prostate cancer (PCa) as well as the growth and survival of castration-resistant tumors. However, AR action may be opposed by estrogen receptor beta (ERß) that responds to androgen metabolites produced in the prostate. The balance between the activity of these two receptors is not only influenced by the steroidogenic capacity of the prostatic microenvironment but also by its redox status and local paracrine signals such as transforming growth factor-beta (TGF-ß). In this review, we highlight the studies that revealed select roles for AR and ERß in distinct compartments of the prostate cancer microenvironment. We also discuss new work that identified stromal-epithelial crosstalk through TGF-ß1 signaling that drives the production of reactive oxygen species in stromal cells thereby selectively limiting the anti-tumor activity of ERß in cancer cells. Therefore, any new therapeutic approaches that seek to limit AR but enhance ERß activity in PCa, must take into account potential adaptive changes in the tumor microenvironment that utilize paracrine signals and altered redox balance to divert local androgen metabolites towards AR at the expense of ERß.
Indexed as
Identifiers
What OpenQuestion holds
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.