The deleterious association between proton pump inhibitors and prostate cancer-specific mortality – a population-based cohort study

2020 ◽  
Vol 23 (4) ◽  
pp. 622-629
Author(s):  
Hanan Goldberg ◽  
Faizan K. Mohsin ◽  
Refik Saskin ◽  
Girish S. Kulkarni ◽  
Alejandro Berlin ◽  
...  
Bone ◽  
2020 ◽  
Vol 139 ◽  
pp. 115502
Author(s):  
Jie Wei ◽  
Andrew T. Chan ◽  
Chao Zeng ◽  
Xiaochun Bai ◽  
Na Lu ◽  
...  

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 309-309
Author(s):  
Hanan Goldberg ◽  
Faizan Moshin ◽  
Refik Saskin ◽  
Girish S. Kulkarni ◽  
Alejandro Berlin ◽  
...  

309 Background: Proton pump inhibitors (PPIs) are a commonly prescribed class of medications. Although in-vitro and in-vivo data have shown PPIs to have anti-tumor effects, more recent studies suggest an increased cancer risk in several solid organs. Pantoprazole, a commonly prescribed PPI, has been shown to harbor a protective effect in human prostate cancer (PCa) cells. We aimed to investigate the effect of pantoprazole and other PPIs on PCa-specific death and additional PCa outcomes. Methods: In this retrospective, population-based cohort study, data were incorporated from the Institute for Clinical and Evaluative Sciences to identify all men aged 66 and above with a history of a single negative prostate biopsy between 1994 and 2016. We used multivariable Cox regression models with time-dependent covariates, to assess the effect of PPIs on PCa diagnosis, androgen deprivation therapy (ADT) use, and PCa-specific death. All models included other medications with a putative effect on PCa. All models were adjusted for age, rurality, comorbidity, and year of patient study inclusion. Results: Overall, 21,512 men were included, with a mean follow-up time of 8.06 years (SD 5.44 years). A total of 10,999 patients (51.1%) used a PPI. A total of 5,187 patients (24.1%) were diagnosed with PCa, 2,043 patients (9.5%) were treated with ADT, and 805 patients (3.7%) died from PCa. Pantoprazole was associated with a 3.0% (95% CI 0.3%-6,0%) increased rate of being treated with ADT for every six months of cumulative use, while any use of all other PPIs was associated with a 39.0% (95% CI 18.0%-64.0%) increased PCa-specific mortality. No significant association was found with PCa diagnosis. Conclusions: Upon validation of the potentially negative association of PPIs with PCa outcomes, the expansive use of PPIs may need to be reassessed, especially in PCa patients.


CMAJ Open ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. E166-E171 ◽  
Author(s):  
T. Antoniou ◽  
E. M. Macdonald ◽  
S. Hollands ◽  
T. Gomes ◽  
M. M. Mamdani ◽  
...  

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 121-121
Author(s):  
Grace L. Lu-Yao ◽  
Nikita Nikita ◽  
Scott W Keith ◽  
Joshua Banks ◽  
Nathan Handley ◽  
...  

121 Background: It is uncertain whether the same criteria for active surveillance can be applied universally across races. This population-based study was undertaken to quantify racial differences in long-term risk of prostate cancer-specific mortality (PCSM) among patients with low-risk prostate cancer (PCa) receiving conservative management. Methods: We used the Surveillance, Epidemiology, and End Results (SEER) database to identify patients who had low-risk PCa (T1-T2a & Gleason 6 & PSA ≤ 10 ng/mL & N0 & M0) diagnosed in 2004 – 2015 and did not receive radical prostatectomy or radiation therapy within one year of diagnosis. Kaplan-Meier analysis was used to calculate PCSM. The Clopper-Pearson method was used to calculate associated 95% confidence intervals. Hazard ratio of PCSM among those with a high PSA (PSA 4-10) compared to those with a low PSA (PSA < 4) was calculated using Cox proportional hazards models adjusted for covariates (including age, race, marital status, insurance status, U.S. region, year of diagnosis, and AJCC clinical tumor stage). Results: Among 33,740 patients with low-risk PCa, long-term PCSM varied with race and PSA levels at diagnosis. For instance, 10-year PCSM was 2.62% (95% CI: 1.15%-5.05%) among African Americans with PSA 4-10 and 0.98% (95% CI:0.16%-3.12%) among Caucasian patients with PSA < 4. There was no significant statistical interaction between race and PSA level on PCSM (p = 0.81). After adjusting for potential confounders, men with PSA 4-10 experienced 2-fold higher PCSM relative to those with PSA < 4 (HR = 1.96, p = 0.011) and African Americans men experienced a 43% higher PCSM compared to Caucasians (HR = 1.43, p = 0.03). Conclusions: Among men diagnosed with low-risk PCa, long-term PCSM varies by race and PSA at diagnosis. More refined risk stratification may improve PCa management among low-risk PCa patients. [Table: see text]


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