To explore the mechanism of the disruption of circadian rhythm in breast cancer, we examined the expression of nine circadian genes in 53 newly diagnosed breast cancers by immunohistochemical staining, mutational analysis, and methylation analysis of the promoter of circadian genes. Our results showed that 37 of the 53 breast cancer tissues had hypermethylation on the promoters of PER1, PER2, CRY1, or BMAL1. Twenty-five out of 53 paired noncancerous (normal) tissues had methylation on the promoter of PER1 or CRY1. Our results indicated a higher frequency of concurrent methylation of PER1 and CRY1 promoters in cancerous and normal tissues. Promoter methylation of the PER1 correlates with c-erbB2 immunohistochemical reaction of > or = 2+ (p = 0.012) and has a strong inverse correlation with estrogen receptor positivity (p = 0.016). We further analyzed the patterns of circadian gene expression by immunohistochemical methods and found that homogeneous expression of PER2 or BMAL1 is significantly associated with lymph node metastasis and poor prognosis. PER2 heterogeneous expression correlates with <2+ c-erbB2 immunohistochemical reaction. Heterogeneous expression of CLOCK is associated significantly with 3-year survival. In conclusion, the expression pattern of circadian genes might be a biomarker for the prognosis of breast cancer.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00428-009-0761-7 | DOI Listing |
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!