| Literature DB >> 35752985 |
Luke A Robles1,2,3, Sean Harrison4,5, Vanessa Y Tan4,5, Rhona Beynon4,5, Alexandra McAleenan4,5, Julian Pt Higgins4,5,6, Richard M Martin4,5,6, Sarah J Lewis4,5,6.
Abstract
PURPOSE: Observational studies and randomized controlled trials (RCTs) have shown an association between vitamin D levels and prostate cancer progression. However, evidence of direct causality is sparse and studies have not examined biological mechanisms, which can provide information on plausibility and strengthen the evidence for causality.Entities:
Keywords: Meta-analysis; Progression; Prostate cancer; Testosterone; Vitamin D
Mesh:
Substances:
Year: 2022 PMID: 35752985 PMCID: PMC9270305 DOI: 10.1007/s10552-022-01591-w
Source DB: PubMed Journal: Cancer Causes Control ISSN: 0957-5243 Impact factor: 2.532
Fig. 1PRISMA flow diagram of database searches
Fig. 2Risk of bias of vitamin D-testosterone studies
Characteristics of included human vitamin D-testosterone association studies
| Study | Author (year) location | Study design | Total sample size | Participant characteristics | Age (years) | Vitamin D (dose and frequency) or exposure measurement | Final follow-up (weeks) | Outcome of interest |
|---|---|---|---|---|---|---|---|---|
| 1 | Chel (2008) The Netherlands | RCT | 43 | Men in nursing home | 71–97 (range | 18,000 IU/month | 16 | TT |
| 2 | Pilz (2011) Germany | RCT | 54 | Men from weight loss program | 20–49 (range) | 3,332 IU daily | 52 | TT, FT, BT |
| 3 | Jorde (2013) | RCT (pooled analysis) | 282 | Men recruited from 3 intervention studies: an obesity, insulin sensitivity, and depression intervention study | 51 (mean) | 20 000 IU/week and 40,000 IU/week (Obesity study vitamin D interventions combined) 40,000 IU (Insulin study) 40,000 IU (Depression study | 52 weeks (Obesity study) 24 (Insulin study) 24 (Depression study | TT, FT |
| 4 | Schroten (2013) The Netherlands | 2 × 2 factorial RCT | 86 | Men with chronic heart failure | 42–86 | 2000 IU daily | 6 | TT |
| 5 | Oosterwerff (2014) Amsterdam | RCT | 32 | Men overweight with prediabetes | 20–70 | 1,200 IU daily | 16 | TT |
| 6 | Scholten (2015)a USA | 2 × 2 factorial RCT | 23 | Physically active men | 25–42 (range) | 4,000 IU daily | 8 | TT |
| 7 | Lerchbaum (2017) Austria | RCT | 98 | Healthy men with normal TT levels | 39 (mean) | 20,000 IU/week | 12 | TT, FT |
| 8 | Mielgo-Ayuso (2018) Spain | RCT | 36 | Elite male rowers | 27 (mean) | 3,000 IU daily | 8 | TT |
| 9 | Saha (2018) India | 2 × 2 factorial RCT | 92 | Graduate and postgraduate students | 20 (mean) | 60,000 IU/week for 8 week, 60,000 IU/fortnightly for 4-months (with placebo calcium tablets) | 24 | TT |
| 10 | Lerchbaum (2019) Austria | RCT | 94 | Men with low TT levels | 49 (median) | 20,000 IU/week | 12 | TT, FT |
| 11 | Michalczyk (2020) Poland | RCT | 28 | Elite football players | Not reported | 6,000 IU daily | 6 | TT, FT |
| 12 | Rockwell (2020)a USA | RCT | 6 | College swimmers | Not reported | 5,000 IU daily | 12 | TT, FT |
| 13 | Chen (2019)a China | Mendelian Randomization | 4,254 | Healthy men | 56 (mean) | Vitamin D genetic risk score (4 SNP: rs12785878, rs10741657, rs2282679, rs6013897) | NA | TT |
a = Study not included in meta-analysis
Fig. 3Forest plot of vitamin D—total testosterone studies
Summary of results reported in the human vitamin D-testosterone studies included in the meta-analyses
| Author | Year | Outcome (ng/ml) | N total sample | Intervention | Control | p value1 | Standardised mean difference | SE | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N cases | Mean/median | SD | N controls | Mean/median | SD | |||||||
| Chel | 2008 | TT | 43 | 22 | 0.14 | 0.92a | 21 | − 0.29 | 1.14a | NR | 0.42 | 0.31 |
| Pilz 1 | 2011 | TT | 54 | 31 | 3.86 | 1.36 | 23 | 3.66 | 1.59 | NR | 0.14 | 0.28 |
| Pilz 2 | 2011 | FT | 54 | 31 | 0.08 | 0.03 | 23 | 0.08 | 0.03 | NR | − 0.12 | 0.28 |
| Pilz 3 | 2011 | BT | 54 | 31 | 1.80 | 0.58 | 23 | 1.90 | 0.67 | NR | − 0.16 | 0.28 |
| Jorde 1 | 2013 | TT | 282 | 169 | − 0.03 | 1.07 | 113 | − 0.14 | 0.87 | NR | 0.12 | 0.12 |
| Jorde 2 | 2013 | FT | 282 | 169 | 0.00 | 0.03 | 113 | 0.00 | 0.02 | NR | 0.13 | 0.12 |
| Schroten | 2013 | TT | 86 | 44 | 0.00 | 0.89a | 42 | 0.00 | 0.88a | NR | 0.00 | 0.22 |
| Oosterwerff | 2014 | TT | 32 | 16 | 0.00 | 0.47a | 16 | 0.00 | 0.94a | NR | 0.00 | 0.35 |
| Lerchbaum 1 | 2017 | TT | 98 | 49 | 5.60 | 0.88a | 49 | 5.28 | 1.41a | 0.50 | 0.27 | 0.20 |
| Lerchbaum 2 | 2017 | FT | 97 | 48 | 0.10 | 0.09a | 49 | 0.10 | 0.03a | 0.69 | 0.10 | 0.20 |
| Mielgo-Ayuso | 2018 | TT | 36 | 18 | 4.73 | 1.28 | 18 | 4.37 | 0.96 | 0.85‡ | 0.32 | 0.34 |
| Saha | 2018 | TT | 92 | 49 | 5.91 | 1.73 | 43 | 5.31 | 1.38 | 0.42 | 0.39 | 0.21 |
| Lerchbaum 1 | 2019 | TT | 94 | 47 | 3.69 | 1.17a | 47 | 4.10 | 1.32a | 0.78 | − 0.32 | 0.21 |
| Lerchbaum 2 | 2019 | FT | 92 | 46 | 0.08 | 0.03a | 46 | 0.08 | 0.03a | 0.83 | 0.07 | 0.21 |
| Michalczyk | 2020 | TT | 28 | 15 | 8.15 | 0.92 | 13 | 7.67 | 1.47 | < 0.01 | 0.39 | 0.38 |
| Michalczyk | 2020 | FT | 28 | 15 | 0.03 | < 0.01 | 13 | 0.02 | 0.01 | < 0.01 | 1.27 | 0.41 |
a = SD estimated using interquartile range
Fig. 4Funnel plot of vitamin D—total testosterone studies
Fig. 5Forest plot of vitamin D—free testosterone studies
Risk of bias of testosterone—prostate cancer progression studies
| Study | Bias due to confounding | Bias in selection of participants | Bias due to missing data | Bias in measurement of outcome | Bias in measurement of exposure | Bias due to selective reporting | Overall risk |
|---|---|---|---|---|---|---|---|
| Kjellman 2008 | Moderate | Moderate | Low | Low | Low | Moderate | Moderate |
| Pierorazio 2010 | Moderate | Moderate | Low | Low | Low | Moderate | Moderate |
| Gershman 2014 | Moderate | Low | Low | Low | Low | Moderate | Moderate |
Characteristics and results of the included human cohort testosterone-prostate cancer progression association studies
| Author (year) | Country | Study name | Number of events/cases | Mean (SD)/median age at baseline (years) | Description of exposures at baseline | Follow-up (years) | Outcome of interest | Results |
|---|---|---|---|---|---|---|---|---|
| Kjellman (2008) | Sweden | NA | 41/65 | 65.0 (median) | Dihydrotestosterone measured at diagnosis | 12.8 (median) | Prostate cancer-specific mortality | Dihydrotestosterone above 0.67 ng/L (median): reduced mortality (log rank |
| Gershman (2014) | USA | Physician’s Health Study and Health Professionals Follow-up Study | 106/717 | 69.1 (7.3) | Pre-diagnostic total testosterone | 12.0 (mean) | Lethal prostate cancer (development of metastasis or prostate cancer-specific mortality) | HR1 = 0.95 (95% CI = 0.78 to 1.16, |
| Health Professionals Follow-up Study | 50/472 | Pre-diagnostic free testosterone | HR1 = 0.88 (95% CI = 0.60 to 1.29, | |||||
| Physician’s Health Study | 85/492 | Pre-diagnostic dihydrotestosterone All measured ≥ 2 years before the outcome | HR1 = 1.08 (95% CI = 0.84 to 1.37, | |||||
| Pierorazio (2010) | USA | Baltimore Longitudinal Study of Aging | 36/145 | 51.6 (15.2) | Repeated pre-diagnostic total testosterone measures | 22 years (median) | High-risk disease -prostate cancer with adverse clinical and pathological features including death from disease, a PSA level of > 20 ng/mL or a Gleason sum of ≥ 8 | Total testosterone (per ng/dL): HR = 1.002 (95% CI = 0.998 to 1.007, |
| Repeated pre-diagnostic free testosterone measures | Calculated free testosterone (per ng/dL): HR = 1.61 (95% CI = 1.18 to 2.204, |