PubMed · 15775990
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J Moul. 2005. Report from Durham.. https://doi.org/10.1038/sj.pcan.4500795
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The majority of breast cancers express the estrogen receptor (ERα) and agents targeting this pathway represent the main treatment modality. Endocrine therapy has proven successful in the treatment of hormone-responsive breast cancer since its early adoption in the 1940s as an ablative therapy. Unfortunately, therapeutic resistance arises, leading to disease recurrence and relapse. Recent studies increased our understanding in how changes to the chromatin landscape and deregulation of epigenetic factors orchestrate the resistant phenotype. Here, we will discuss how the epigenome is an integral determinant in hormone therapy response and why epigenetic factors are promising targets for overcoming clinical resistance.
BACKGROUND: The American Joint Committee on Cancer (AJCC) staging system for prostate cancer is based primarily based on clinical tumor (T) classification. In this article, the authors summarize arguments for incorporating additional pretreatment parameters and creating a new staging system for prostate cancer. METHODS: Men with localized prostate cancer who received treatment with external beam radiation alone were analyzed using the 1997 AJCC staging system compared with a system that included pretreatment prostate-specific antigen (pPSA) level and Gleason score (GS). Multivariate analyses using a Cox proportional-hazards model were carried out to evaluate T classification, GS, and pPSA as predictors of overall survival (OS), disease-specific survival (DSS), and freedom from PSA failure (FFPF). RESULTS.: Based on pretreatment characteristics in a series of contemporary patients, only 0.6% of patients were classified with AJCC stage I disease, 16.0% were classified with AJCC stage III disease, and 83.4% were classified with AJCC stage II disease. Multivariate analyses indicated the independent statistical significance of T classification, GS, and pPSA in predicting OS, DSS, and FFPF (model chi-square value, P < .0001 for each). Using these 3 predictors, subsets of patients who had similar outcomes were combined to provide examples of the insensitivity of the AJCC system for predicting outcomes. Incorporating pPSA and GS allowed the identification of differences in OS, DSS, and FFPF for subsets of patients with AJCC stage II disease (P < .0001, P = .005, and P < .0001, respectively). CONCLUSIONS: The current AJCC staging system does not divide contemporary patients with prostate cancer into prognostic subgroups and does not identify patients who have comparable biochemical control and survival. The AJCC staging system for prostate cancer should be changed to incorporate pPSA, GS, and risk stratification.
Glucocorticoids are keystone drugs in the treatment of childhood acute lymphoblastic leukemia (ALL). To get more insight in signal transduction pathways involved in glucocorticoid-induced apoptosis, Affymetrix U133A GeneChips were used to identify transcriptionally regulated genes on 3 and 8 hours of prednisolone exposure in leukemic cells of 13 children as compared with nonexposed cells. Following 3 hours of exposure no significant changes in gene expression could be identified. Following 8 hours of exposure, 51 genes were differentially expressed (P < .001 and false discovery rate < 10%) with 39 genes being up-regulated (median, 2.4-fold) and 12 genes were down-regulated (median, 1.7-fold). Twenty-one of those genes have not been identified before to be transcriptionally regulated by prednisolone. Two of the 3 most highly up-regulated genes were tumor suppressor genes, that is, thioredoxin-interacting protein (TXNIP; 3.7-fold) and zinc finger and BTB domain containing 16 (ZBTB16; 8.8-fold). About 50% of the differentially expressed genes were functionally categorized in 3 major routes, namely MAPK pathways (9 genes), NF-kappaB signaling (11 genes), and carbohydrate metabolism (5 genes). Biologic characterization of these genes and pathways might elucidate the action of glucocorticoids in ALL cells, possibly suggesting causes of glucocorticoid resistance and new potential targets for therapy.