Background: Mitochondrial dysfunction has been associated with the development of cancer and obesity, being prostate cancer more aggressive in obese men. It has been suggested that the mitochondrial transcription factor A (TFAM) plays a central role in these events.
Objective: The aim of this study was to analyze the possible association of 3 TFAM polymorphisms, as well as their haplotypes, with the development of aggressive prostate cancer in overweight or obese Mexican Mestizo men.
Subjects And Methods: A total of 257 unrelated men with histologically confirmed prostate cancer, of Mexican Mestizo ethnic origin, were included. Body mass index was determined and the degree of prostate cancer aggressiveness was demarcated by the D'Amico classification. DNA was obtained from blood leukocytes. The rs1937, rs1049432, and rs11006132, as well as their haplotypes, were studied by real-time polymerase chain reaction allelic discrimination. Deviations from Hardy-Weinberg equilibrium were tested. Pairwise linkage disequilibrium between single nucleotide polymorphisms was calculated; haplotype analysis was performed.
Results: A higher risk (D'Amico classification) was documented in 56 patients (21.8%). We did not find a significant association among those polymorphisms analyzed; however, one haplotype was significantly associated with cancer aggressiveness.
Conclusions: To our knowledge, this constitutes the first study regarding the relationship of 3 TFAM polymorphisms, as well as their haplotypes, and the aggressiveness of prostate cancer in overweight or obese men; the most frequent haplotype was associated with cancer aggressiveness.
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http://dx.doi.org/10.1016/j.urolonc.2016.10.011 | DOI Listing |
J Med Internet Res
January 2025
Cancer Rehabilitation and Survivorship, Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Background: Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.
Objective: This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.
PLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
View Article and Find Full Text PDFEndocr Relat Cancer
January 2025
S Dehm, Masonic Cancer Center, University of Minnesota, Minneapolis, United States.
Treatment for castration-resistant prostate cancer (CRPC) primarily involves the suppression of androgen receptor (AR) activity using androgen receptor signaling inhibitors (ARSIs). While ARSIs have extended patient survival, resistance inevitably develops. Mechanisms of resistance include genomic aberrations at the AR locus that reactivate AR signaling, or lineage plasticity that drives emergence of AR-independent phenotypes.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles.
Importance: The phase 3 randomized EMBARK trial evaluated enzalutamide with or without leuprolide in high-risk nonmetastatic hormone-sensitive prostate cancer. Eligibility relied on conventional imaging, which underdetects metastatic disease compared with prostate-specific membrane antigen-positron emission tomography (PSMA-PET).
Objective: To describe the staging information obtained by PSMA-PET/computed tomography (PSMA-PET/CT) in a patient cohort eligible for the EMBARK trial.
Int Urol Nephrol
January 2025
Faculty of Medical Sciences, Pharmacology and Toxicology Department, University of Kragujevac, Kragujevac, Serbia.
Purposes: Intermediate-risk prostate cancer (IR PCa) is the most common risk group for localized prostate cancer. This study aimed to develop a machine learning (ML) model that utilizes biopsy predictors to estimate the probability of IR PCa and assess its performance compared to the traditional clinical model.
Methods: Between January 2017 and December 2022, patients with prostate-specific antigen (PSA) values of ≤ 20 ng/mL underwent transrectal ultrasonography-guided prostate biopsies.
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