High dietary fat intake and obesity may increase the risk of susceptibility to certain forms of cancer. To study the interactions of dietary fat, obesity, and metastatic mammary cancer, we created a population of F(2) mice cosegregating obesity QTL and the MMTV-PyMT transgene. We fed the F(2) mice either a very high-fat or a matched-control-fat diet, and we measured growth, body composition, age at mammary tumor onset, tumor number and severity, and formation of pulmonary metastases. SNP genotyping across the genome facilitated analyses of QTL and QTL x diet interaction effects. Here we describe effects of diet on mammary tumor and metastases phenotypes, mapping of tumor/metastasis modifier genes, and the interaction between dietary fat levels and effects of cancer modifiers. Results demonstrate that animals fed a high-fat diet are not only more likely to experience decreased mammary cancer latency but increased tumor growth and pulmonary metastases occurrence over an equivalent time. We identified 25 modifier loci for mammary cancer and pulmonary metastasis, likely representing 13 unique loci after accounting for pleiotropy, and novel QTL x diet interactions at a majority of these loci. These findings highlight the importance of accurately modeling not only the human cancer characteristics in mice but also the environmental exposures of human populations.
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http://dx.doi.org/10.1007/s00335-008-9096-y | DOI Listing |
Cancer Med
January 2025
Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Objective: Cancer-related fatigue is one of the most common burdens of cancer patients. To date, most studies focused on fatigue during or after treatment. However, investigation of pretreatment fatigue is crucial to identify causal or risk factors other than cancer therapy and to enable timely fatigue management.
View Article and Find Full Text PDFBiofactors
January 2025
Department of Oncology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, People's Republic of China.
Breast cancer continues to be a major health issue for women worldwide, with vimentin (VIM) identified as a crucial factor in its progression due to its role in cell migration and the epithelial-to-mesenchymal transition (EMT). This study focuses on elucidating VIM's regulatory mechanisms on the miR-615-3p/PICK1 axis. Utilizing the 4T1 breast cancer cell model, we first used RNA-seq and proteomics to investigate the changes in the APA of PICK1 following VIM knockout (KO).
View Article and Find Full Text PDFInt J Biol Sci
January 2025
Tianjin Key Laboratory of Acute Abdomen Disease-Associated Organ Injury and ITCWM Repair, Institute of Integrative Medicine of Acute Abdominal Diseases, Tianjin Nankai Hospital, Tianjin Medical University, 8 Changjiang Avenue, Tianjin 300100, China.
Cold atmospheric plasma (CAP) has been proposed as an emerging onco-therapeutics that can specifically kill cancer cells without harming healthy cells. Here we explore its potency in triggering ferroptosis in transformed cells using triple negative breast cancer as the disease model. Through the whole transcriptome sequencing, mass spectrometry analysis, point mutation, and a series of and molecular assays, we identified two signaling axes centered at EGFR(Y1068), i.
View Article and Find Full Text PDFNagoya J Med Sci
November 2024
Department of Breast and Endocrine Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Adenylate cyclase family members have recently received attention as novel therapeutic targets. However, the significance of adenylate cyclase 9 (ADCY9) in breast cancer has not been elucidated. Here, we evaluated expression in breast cancer (BC) cell lines, and polymerase chain reaction array analysis was performed to determine the correlations between expression levels and 84 tumor-associated genes.
View Article and Find Full Text PDFKorean J Radiol
January 2025
Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Objective: The aim of this study was to compare image quality features and lesion characteristics between a faster deep learning (DL) reconstructed T2-weighted (T2-w) fast spin-echo (FSE) Dixon sequence with super-resolution (T2) and a conventional T2-w FSE Dixon sequence (T2) for breast magnetic resonance imaging (MRI).
Materials And Methods: This prospective study was conducted between November 2022 and April 2023 using a 3T scanner. Both T2 and T2 sequences were acquired for each patient.
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