ArticleInternational journal of clinical oncology2020
Pre-treatment ratio of periprostatic to subcutaneous fat thickness on MRI is an independent survival predictor in hormone-naïve men with advanced prostate cancer.
Article in International journal of clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Adiposity and cancer survival: a systematic review and meta-analysis.Cancer causes & control : CCC · 2022Pooled it
- Associations of fat and muscle mass with overall survival in men with prostate cancer: a systematic review with meta-analysis.Prostate cancer and prostatic diseases · 2022Pooled it
- Article
- The effect of different adipose tissue measurements on clinical prognosis in bladder cancer patients undergoing radical cystectomy: preliminary results.Abdominal radiology (New York) · 2025Article
- Unexpected change in hydrogel spacer volume during external-beam radiation therapy.Japanese journal of radiology · 2024Article
- Psoas mass index at the level of the third lumbar vertebra on computed tomography is a prognostic predictor for metastatic castration-sensitive prostate cancer.International journal of clinical oncology · 2024Article
- Cardiovascular disease burden in patients with urological cancers: The new discipline of uro-cardio-oncology.Cancer innovation · 2024Review
- Periprostatic Adipose Tissue: A New Perspective for Diagnosing and Treating Prostate Cancer.Journal of Cancer · 2024Review
- Body composition parameters were associated with response to abiraterone acetate and prognosis in patients with metastatic castration-resistant prostate cancer.Cancer medicine · 2023Article
- Article
- Obesity-Related Cross-Talk between Prostate Cancer and Peripheral Fat: Potential Role of Exosomes.Cancers · 2022Review
- Review
- Peri-Prostatic Adipocyte-Released TGFβ Enhances Prostate Cancer Cell Motility by Upregulation of Connective Tissue Growth Factor.Biomedicines · 2021Article
- Periprostatic adipose tissue promotes prostate cancer resistance to docetaxel by paracrine IGF-1 upregulation of TUBB2B beta-tubulin isoform.The Prostate · 2021Article
- Prognostic Value of CT-Attenuation andJournal of personalized medicine · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEpidemiological studies have shown an association between obesity and prostate cancer (PCa) aggressiveness. However, little is known about periprostatic fat (PPF) and its relationship with overall fat deposition in PCa. PPF is thought to contribute to PCa growth and migration via secreted factors and induction of chronic inflammation. We investigated if pre-treatment PPF thickness correlates with overall survival (OS).
methodsWe reviewed 85 hormone-naïve men with advanced PCa who had received androgen deprivation therapy (ADT). PPF thickness was measured by magnetic resonance imaging (MRI) and compared with subcutaneous fat (SCF) thickness as an internal control. Visceral fat (VF) area measured by computed tomography served as an additional control. We evaluated the relationship between laboratory data, pathology results, and obesity parameters and OS.
resultsMedian follow-up was 50.6 months. Thirty-six patients died during follow-up. Univariate analysis revealed that nadir PSA titer, Gleason score, N stage, M stage, extent of disease by bone scan grade, hemoglobin, lactate dehydrogenase, alkaline phosphatase, and PPF/SCF ratio were associated with OS. Multivariate analysis revealed that nadir PSA titer, N stage, and PPF/SCF ratio were independent prognostic factors for survival. The 5-year OS in the patients with higher PPF/SCF ratio (≥ 1) and lower PPF/SCF ratio (< 1) was 49.5% and 66.5%, respectively (P = 0.039).
conclusionsPre-treatment ratio of PPF-to-SCF thickness on MRI is an independent predictor of survival in hormone-naïve men with advanced PCa. This could be useful for predicting which patients are more likely to develop castration-resistant PCa.
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