Background: Approximately 30% to 40% of breast cancer recurrences involve bone metastasis (BM). Certain genes have been linked to BM; however, none have been able to predict bone involvement. In this study, we analyzed gene expression profiles in advanced breast cancer patients to elucidate genes that can be used to predict BM.
Patients And Methods: A total of 92 advanced breast cancer patients, including 46 patients with BM and 46 patients without BM, were identified for this study. Immunohistochemistry and gene expression analysis was performed on 81 formalin-fixed paraffin-embedded samples. Data were collected through medical records, and gene expression of 200 selected genes compiled from 6 previous studies was performed using NanoString nCounter.
Results: Genetic expression profiles showed that 22 genes were significantly differentially expressed between breast cancer patients with metastasis in bone and other organs (BM+) and non-BM, whereas subjects with only BM showed 17 significantly differentially expressed genes. The following genes were associated with an increasing incidence of BM in the BM+ group: estrogen receptor 1 (ESR1), GATA binding protein 3 (GATA3), and melanophilin with an area under the curve (AUC) of 0.804. In the BM group, the following genes were associated with an increasing incidence of BM: ESR1, progesterone receptor, B-cell lymphoma 2, Rab escort protein, N-acetyltransferase 1, GATA3, annexin A9, and chromosome 9 open reading frame 116. ESR1 and GATA3 showed an increased strength of association with an AUC of 0.928.
Conclusion: A combination of the identified 3 genes in BM+ and 8 genes in BM showed better prediction than did each individual gene, and this combination can be used as a training set.
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http://dx.doi.org/10.1016/j.clbc.2018.03.001 | DOI Listing |
Clin Breast Cancer
December 2024
Comprehensive Breast Health Center, Zhejiang Provincial Hospital of Chinese Medicine, China. Electronic address:
Purpose: Male breast cancer is an understudied disease with unique clinicopathological features. This study aims to evaluate the predictive value of the Clinical Treatment Score post-5 years (CTS5) in estimating late recurrence risk in estrogen receptor-positive (ER+) male breast cancer patients.
Methods: This retrospective study includes 65,711 ER+ early male (n = 611) and female (n = 65,100) breast cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database diagnosed between 2010 and 2018.
Eur J Surg Oncol
December 2024
Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
Background: Risk reducing mastectomy (RRM) is an option for women with pathogenic germline variants in BRCA1 or BRCA2 (BRCA1/2). This study investigates and compares RRM-uptake among Norwegian BRCA1/2 carriers from 2008 to 2021, temporal trends, and incidence of breast cancer (BC) after surgery.
Methods: BRCA1/2 carriers without prior breast or ovarian cancer, tested at Oslo University Hospital between January 1st 2008 and December 31st 2021 were included in the study.
ESMO Open
January 2025
Translational Genomics and Targeted Therapies in Solid Tumors group, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Institute of Cancer and Blood Diseases, Hospital Clinic of Barcelona, Barcelona, Spain; Reveal Genomics, Barcelona, Spain. Electronic address:
Background: The infiltration of tumor-infiltrating B cells and plasma cells in early-stage breast cancer has been associated with a reduced risk of distant metastasis. However, the influence of B-cell tumor infiltration on overall patient survival remains unclear.
Materials And Methods: This study explored the relationship between an antitumor immune response, measured by a 14-gene B-cell/immunoglobulin (IGG) signature, and mortality risk in 9638 breast cancer patients across three datasets.
Acad Radiol
January 2025
Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin 150081, China (Q-X.C., L-Q.Z., X-Y.W., H-X.Z., J-J.L., M-C.X., H-Y.S., Z-X.K.). Electronic address:
Rationale And Objectives: To propose a novel MRI-based hyper-fused radiomic approach to predict pathologic complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer (BC).
Materials And Methods: Pretreatment dynamic contrast-enhanced (DCE) MRI and ultra-multi-b-value (UMB) diffusion-weighted imaging (DWI) data were acquired in BC patients who received NAT followed by surgery at two centers. Hyper-fused radiomic features (RFs) and conventional RFs were extracted from DCE-MRI or UMB-DWI.
Tissue Cell
December 2024
Department of Food Science and Biotechnology, Sejong University, Gwangjin-gu, Seoul, Republic of Korea. Electronic address:
For the first time, our study provides a comprehensive examination of the anti-cancer effects of structural isomers of carene in breast cancer cells, specifically focusing on cell cycle inhibition and the induction of apoptosis. We utilized the hydro-distillation method to extract Piper nigrum seed essential oil (PNS-EO) and identified its bioactive components through gas chromatography-mass spectrometry (GC-MS) analysis. A total of 46 bioactive compounds were isolated via hydro-distillation, identified through GC-MS analysis, and validated by co-injection using GC analysis.
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