Background: The so-called Bone Hunger Syndrome is a metabolic derangement that sometimes complicates the natural history of prostate cancer patients with osteoblastic bone metastases. An excessive bone formation leads to calcium entrapment in bone and the subsequent increase of parathyroid hormone (PTH) levels, in response to calcium demand. PTH elevation stimulates the osteoclasts in sites distant from those involving the tumor, leading to osteomalacia.
Methods: PTH and markers of bone turnover were monitored every 3 weeks, from the start of pamidronate treatment in a prostate cancer patient with progressive disease, to luteinizing hormone releasing hormone analog (LHRH-A) administration, developing hyperparathyroidism, hypophosphatemia, and albumin corrected serum calcium close to the lower limit of normality. Serum bone alkaline phosphatase (BALP), assessed by two different methods: electrophoretic and immunoradiometric, and urinary levels of markers of bone collagen breakdown were also remarkably elevated.
Results: As a consequence of pamidronate infusion (60 mg e.v. every 3 weeks for a total of four times), BALP and PTH decreased consistently, serum calcium and phosphorus returned within the normal range, while markers of collagen resorption showed a significant decrease at the 9th week, preceded by a transient rise.
Conclusions: This case report indicates that bisphosphonates could inhibit both osteoclast activity. The anti-osteoblastic effect is mainly responsible for the improvement of the pretreatment calcium imbalance of our patient towards hypocalcemia and the consequent hyperparathyroidism.
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http://dx.doi.org/10.1002/(sici)1097-0045(19971201)33:4<252::aid-pros5>3.0.co;2-j | 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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