Identification of fluoxetine as a direct NLRP3 inhibitor to treat atrophic macular degeneration.

The atrophic form of age-related macular degeneration (dry AMD) affects nearly 200 million people worldwide. There is no Food and Drug Administration (FDA)-approved therapy for this disease, which is the leading cause of irreversible blindness among people over 50 y of age. Vision loss in dry AMD results from degeneration of the retinal pigmented epithelium (RPE). RPE cell death is driven in part by accumulation of Alu RNAs, which are noncoding transcripts of a human retrotransposon. Alu RNA induces RPE degeneration by activating the NLRP3-ASC inflammasome. We report that fluoxetine, an FDA-approved drug for treating clinical depression, binds NLRP3 in silico, in vitro, and in vivo and inhibits activation of the NLRP3-ASC inflammasome and inflammatory cytokine release in RPE cells and macrophages, two critical cell types in dry AMD. We also demonstrate that fluoxetine, unlike several other antidepressant drugs, reduces Alu RNA-induced RPE degeneration in mice. Finally, by analyzing two health insurance databases comprising more than 100 million Americans, we report a reduced hazard of developing dry AMD among patients with depression who were treated with fluoxetine. Collectively, these studies identify fluoxetine as a potential drug-repurposing candidate for dry AMD.

Real-world clinical outcomes among US Veterans with oral factor xa inhibitor-related major bleeding treated with andexanet alfa or 4-factor prothrombin complex concentrate.

Oral factor Xa (FXa) inhibitors significantly reduce incidence of stroke and thromboembolic events in patients with atrial fibrillation or venous thromboembolism. Due to various factors and the lack of a randomized controlled trial comparing andexanet alfa to usual care, non-specific replacement agents including 4 F-PCC are still used off-label for FXa inhibitor bleed management. Clinical and mortality data were extracted from the inpatient medical data and Veteran Affairs (VA) vital status files over the time of March 2014 through December 2020. Propensity score-weighted models were used for this retrospective cohort study using data from the Veterans Affairs Informatics and Computing Infrastructure (VINCI). The study included 255 patients (85-andexanet alfa and 170-4 F-PCC) exposed to an oral factor Xa inhibitor and hospitalized with an acute major, gastrointestinal (GI), intracranial (ICH) or other bleed. In-hospital mortality was significantly lower in the andexanet alfa cohort compared to the 4 F-PCC cohort (10.6% vs. 25.3%, p = 0.01). Propensity score-weighted Cox models reveal a 69% lower hazard of in-hospital mortality for those treated with andexanet alfa (HR 0.31, 95% CI 0.14-0.71) compared to those treated with 4 F-PCC. Additionally, those treated with andexanet alfa had a lower 30-day mortality rate and lower 30-day hazard of mortality in the weighted Cox model (20.0% vs. 32.4%, p = 0.039; HR 0.54, 95% CI 0.30-0.98) compared to those treated with 4 F-PCC. Among 255 US veterans with major bleeding in the presence of an oral factor Xa inhibitor, treatment with andexanet alfa was associated with lower in-hospital and 30-day mortality than treatment with 4 F-PCC.

Leukotriene receptor antagonism with montelukast as a possible therapeutic for venous thromboembolism prophylaxis: An observational study.

BACKGROUND: Arachidonic acid (AA), which is metabolized via the cyclooxygenase (COX) and the lipoxygenase (LOX) pathways, was found to be associated with venous thromboembolism (VTE). Metabolites of the LOX pathway include cysteinyl (Cys) Leukotrienes (LT), potent proinflammatory mediators, which have also been implicated in cardiovascular disease. OBJECTIVE: The purpose of this study was to examine if cysteinyl leukotriene receptor blockade by montelukast, lowers the risk of VTE. METHODS: We conducted a retrospective cohort study examining VTE risk among COPD patients from the United States Department of Veterans Affairs. We use propensity score matching and Cox survival models to estimate the hazard ratio comparing montelukast exposure to non-exposure. Montelukast exposure was associated with a 15.9% reduction in risk of VTE compared to those unexposed (HR= 0.841; 95% CI= (0.758-0.934)). CONCLUSION: The results of this study demonstrate that targeting LTs might be beneficial for VTE prophylaxis using the clinically available LT inhibitor, montelukast. Importantly, further research on LTs is warranted to fully understand and validate this relationship.

Melatonin use and the risk of 30-day mortality among US veterans with sepsis: A retrospective study.

Prior research suggests melatonin has beneficial effects that could improve survival among sepsis patients. This exploratory analysis sought to compare 30-day survival among melatonin treated and untreated patients with sepsis. A retrospective cohort study was conducted among patients with a primary inpatient admission diagnosis for sepsis utilizing the International Classification of Diseases, versions 9 and 10, Clinical Modification (ICD-9-CM and ICD-10-CM) diagnosis codes between 2000 and 2021. Propensity score weighting was utilized, accounting for demographic, clinical, and laboratory factors. Weighted Cox models were estimated for 30-day in-hospital and 30-day overall survival. A total of 9386 patients were included in the study with 593 exposed to melatonin within the first day of hospitalization. Propensity score weighted Cox models reveal melatonin was associated with a 37.9% decreased risk of 30-day in-hospital mortality (HR = 0.621; 95% CI = [0.415-0.931]) and a 33.5% decreased risk of 30-day overall mortality (HR = 0.665; 95% CI = [0.493-0.897]). Factors associated with higher risk of both in-hospital and overall mortality include male sex, white race, age, higher Charlson comorbidity burden, sodium and potassium levels, intensive care unit stay, invasive ventilation, and vasopressor use. Higher serum albumin levels are associated with lower mortality risks. Among patients diagnosed with sepsis, exposure to melatonin was associated with a lower in-hospital and 30-day mortality. Additional research is warranted to fully understand the role of melatonin in sepsis.

Association Between the Use of Antibiotics, Antivirals, and Hospitalizations Among Patients With Laboratory-confirmed Influenza.

BACKGROUND: Clinicians may prescribe antibiotics to influenza patients at high risk for bacterial complications. We explored the association between antibiotics, antivirals, and hospitalization among people with influenza. METHODS: A retrospective cohort study of patients with confirmed influenza with encounters during January 2011-January 2019 was conducted using data from the Veterans Affairs Informatics and Computing Infrastructure (VINCI). We compared inpatient hospitalizations (all-cause and respiratory) within 30 days of influenza diagnosis between 4 patient cohorts: (1) no treatment (n = 4228); (2) antibiotic only (n = 671); (3) antiviral only (n = 6492); and (4) antibiotic plus antiviral (n = 1415). We estimated relative risk for hospitalization using Poisson generalized linear model and robust standard errors. RESULTS: Among 12 806 influenza cases, most were white men (mean age, 57-60 years). Those with antivirals only, antibiotic plus antiviral, and antibiotics only all had a statistically significant lower risk of all-cause and respiratory hospitalization compared to those without treatment. Comparing the antibiotic plus antiviral cohort to those who were prescribed an antiviral alone, there was a 47% lower risk for respiratory hospitalization (relative risk, 0.53 [95% confidence interval, .31-.94]), and no other statistical differences were detected. CONCLUSIONS: Those prescribed an antiviral, antibiotic, or both had a lower risk of hospitalization within 30 days compared to those without therapy. Furthermore, intervention with both an antibiotic and antiviral had a lower risk of respiratory hospitalization within 30 days compared to those with an antiviral alone. Importantly, the absolute magnitude of decreased risk with antibiotic plus antiviral therapy is small and must be interpreted within the context of the overall risk of antibiotic usage.

Leukotriene inhibition and the risk of lung cancer among U.S. veterans with asthma.

Leukotriene inhibition, in vitro and in vivo, is found to suppress tumor growth across a variety of cancer cells. A mouse model of lung cancer revealed that the leukotriene inhibitor montelukast induced lung cancer cell death. Based on the preclinical data we hypothesize that exposure to a leukotriene inhibitor is associated with a lower risk of lung cancer. We conducted a national retrospective cohort study among U.S. Veterans with asthma to explore the relationship between leukotriene inhibition and incident lung cancer. We utilize a variety of statistical techniques, including cox proportional hazards models, propensity score matching and falsification testing to examine the association. A total of 558,466 patients met study criteria consisting of 23,730 patients with leukotriene exposure and 534,736 patients with no leukotriene medication use. Leukotriene inhibitor exposure reduced the risk of lung cancer by 17% (HR = 0.830; 95% CI = (0.757-0.911)) in the unmatched and 22.2% in the matched analysis (HR = 0.778 95% CI = (0.688-0.88)). Falsification testing with appendicitis and rotator cuff injury end points, suggest no evidence of selection bias. However, because treatment was not randomized, residual confounding cannot be ruled out. The pre-clinical data on leukotriene inhibition and lung cancer combined with our database analysis provide intriguing evidence warranting further research into the relationship between leukotrienes and lung cancer.

Statin Exposure and Risk of Prosthetic Joint Infection After Total Knee or Hip Arthroplasty Among U.S. Veterans.

BACKGROUND: Statins have a variety of pleiotropic effects that could be beneficial for patients undertaking total knee or hip arthroplasty. In vitro and in vivo models suggest the beneficial effects of statins through bone formation and modulating proinflammatory cytokines triggered by implant debris. However, statins also exhibit antimicrobial action and may reduce the risk of revision surgery via reducing the risk of infection. We sought to explore the relationship between statin use and prosthetic joint infection (PJI) after total knee or hip arthroplasty. METHODS: We use a retrospective cohort of patients undergoing total knee or hip arthroplasty performed within the Department of Veterans Affairs. To minimize selection bias between the statin exposed and unexposed patients, we used 1:1 ratio propensity score matching. We fit adjusted Cox proportional hazards models to quantify the risk of PJI between the cohorts within 1 year, 3 years, and all follow-up time. RESULTS: With a study period beginning from January 2000, a total of 60,241 patients were included. The unmatched Cox models reveal, over the entire follow-up time, a statistically significant lower risk of infection for the statin exposed patients (hazard ratio = 0.869; 95% confidence interval = [0.79-0.956]). The matched Cox model results reveal a statistically significant lower risk of PJI, only in the overall model, for the statin exposed cohort compared with the unexposed cohort (hazard ratio = 0.895, 95% confidence interval = [0.807-0.993]). CONCLUSION: Our analysis finds some support for the beneficial effects of statins for preventing PJI among patients undergoing total knee or hip arthroplasty.

Is cardiovascular risk a concern when prescribing azithromycin?

The FDA has updated azithromycin package labeling to include the risk of prolonged cardiac repolarization and QT prolongation, which increase the possibility of cardiac dysrhythmias and torsades de pointes, especially in older adults. The update was initiated by a study that found an increased risk of death in patients taking azithromycin compared with those taking amoxicillin. However, cardiovascular results of other azithromycin studies have demonstrated discordant results, and more research is needed. In the meantime, providers should recognize that azithromycin has a role in the management of bacterial infections and should prescribe the antibiotic when warranted.

Determining optimal prostate-specific antigen thresholds to identify an increased 4-year risk of prostate cancer development: an analysis within the Veterans Affairs Health Care System.

PURPOSE: To assess the prostate-specific antigen (PSA) threshold value that optimally predicts future risk of prostate cancer (overall and by race) for a dispersed US population. METHODS: This was a retrospective analysis of men in the Veterans Affairs (VA) Health Care System database. Men ≥ 40 years with a baseline PSA ≤ 4.0 ng/mL, not receiving 5-alpha reductase inhibitors, and without a prostate cancer diagnosis prior to baseline PSA date were included and followed for 4 years. Patients diagnosed with prostate cancer within 6 months of baseline were excluded. The optimal PSA threshold value for future 4-year prostate cancer risk was determined by maximizing Youden's index. RESULTS: The eligible population for the final analysis included 41,250 Caucasian (n = 24,518; 59.4 %) and African American (n = 16,732; 40.6 %) patients. The 4-year prostate cancer rate was 3.08 % overall, and race-specific rates were 3.02 and 3.17 % for Caucasian and African American men, respectively. Mean time to prostate cancer diagnosis was 2.01 years across all patients. Race-specific PSA thresholds that optimally predicted future prostate cancer were 2.5 ng/mL [area under the curve (AUC) = 80.3 %] in Caucasians and a 1.9 ng/mL (AUC = 85.4 %) in African Americans; across all patients, a 2.4 ng/mL threshold was optimal (AUC = 82.5 %). CONCLUSIONS: In the VA population, a relatively low PSA threshold of ~2.5 ng/mL was optimal in predicting prostate cancer within 4 years overall and for Caucasian men, but an even lower threshold of 1.9 ng/mL was applicable for African American men.

What is the effect of pill burden on adherence to HIV antiretroviral therapy?

Antiretroviral therapy (ART) is a combination treatment involving three or more antiretroviral agents for patients with HIV. ART has reduced HIV-related morbidity and mortality via single-tablet or multiple-tablet regimens. Single-tablet regimens, with their lower pill burdens, have demonstrated higher adherence rates, improved viral suppression, and reduced resource use compared with multiple-tablet regimens. In addition, select newer ARTs do not require the high levels of adherence for viral load suppression required by older ART formulations.

Azithromycin and levofloxacin use and increased risk of cardiac arrhythmia and death.

PURPOSE: Azithromycin use has been associated with increased risk of death among patients at high baseline risk, but not for younger and middle-aged adults. The Food and Drug Administration issued a public warning on azithromycin, including a statement that the risks were similar for levofloxacin. We conducted a retrospective cohort study among US veterans to test the hypothesis that taking azithromycin or levofloxacin would increase the risk of cardiovascular death and cardiac arrhythmia compared with persons taking amoxicillin. METHODS: We studied a cohort of US veterans (mean age, 56.8 years) who received an exclusive outpatient dispensation of either amoxicillin (n = 979,380), azithromycin (n = 594,792), or levofloxacin (n = 201,798) at the Department of Veterans Affairs between September 1999 and April 2012. Azithromycin was dispensed mostly for 5 days, whereas amoxicillin and levofloxacin were dispensed mostly for at least 10 days. RESULTS: During treatment days 1 to 5, patients receiving azithromycin had significantly increased risk of death (hazard ratio [HR] = 1.48; 95% CI, 1.05-2.09) and serious arrhythmia (HR = 1.77; 95% CI, 1.20-2.62) compared with patients receiving amoxicillin. On treatment days 6 to 10, risks were not statistically different. Compared with patients receiving amoxicillin, patients receiving levofloxacin for days 1 to 5 had a greater risk of death (HR = 2.49, 95% CI, 1.7-3.64) and serious cardiac arrhythmia (HR = 2.43, 95% CI, 1.56-3.79); this risk remained significantly different for days 6 to 10 for both death (HR = 1.95, 95% CI, 1.32-2.88) and arrhythmia (HR = 1.75; 95% CI, 1.09-2.82). CONCLUSIONS: Compared with amoxicillin, azithromycin resulted in a statistically significant increase in mortality and arrhythmia risks on days 1 to 5, but not 6 to 10. Levofloxacin, which was predominantly dispensed for a minimum of 10 days, resulted in an increased risk throughout the 10-day period.

What are extended-spectrum beta-lactamases?

The emergence and spread of extended-spectrum beta-lactamases (ESBLs) in Gram-negative bacteria pose important challenges for clinicians, as management options for these organisms are limited. The emergence of ESBL-producing Gram-negative bacteria is one of the most significant epidemiologic changes in infectious diseases during recent years. Failure to treat with an antibiotic active against ESBL-producing organisms is associated with increased patient morbidity and mortality. Carbapenems are considered the primary antibacterials for infections caused by ESBL-producing organisms but their overuse poses significant cause for concern.

What are the latest recommendations for managing severe sepsis and septic shock?

Severe sepsis is a continuum of physiologic stages characterized by infection, systemic inflammation, and hypoperfusion leading to tissue injury and organ failure. The primary goal of sepsis treatment is to prevent morbidity and mortality. Crystalloids are now recommended over colloids for volume resuscitation, one of the key interventions for patients with sepsis.

Serum Bilirubin Levels and Risk of Venous Thromboembolism among Influenza Patients: A Cohort Study.

OBJECTIVE: This study aimed to investigate the associations between total serum bilirubin levels and the incidence of venous thromboembolism (VTE) among patients with influenza infection. METHODS: A retrospective cohort study was conducted among outpatients with laboratory-confirmed influenza using data from the Veterans Affairs Informatics and Computing Infrastructure (VINCI). Propensity score weighting was applied to balance study groups across baseline covariates. Cox proportional hazards models assessed VTE risk by total bilirubin levels, adjusting for important covariates including age, sex, race, comorbidity index, BMI, and smoking status. RESULTS: A total of 487 patients with total bilirubin levels <0.3 mg/dL, 8608 patients with levels between 0.3-1 mg/dL, and 1148 patients with levels >1 mg/dL were included. Patients with bilirubin <0.3 mg/dL exhibited a 6-fold higher risk of VTE compared to those with levels 0.3-1 mg/dL within 30 days of infection (HR = 6.2, 95% CI = 1.46-26.42). Elevated risks were noted through 90 days post infection (HR = 4.71, 95% CI = (1.42-15.67)). CONCLUSIONS: Serum bilirubin levels, particularly below 0.3 mg/dL, were significantly associated with an increased risk of VTE among individuals with influenza. These findings suggest that lower bilirubin levels may contribute to heightened inflammatory responses and subsequent thromboembolic events in patients with influenza. The underlying mechanisms and potential therapeutic implications for VTE prevention among patients with acute respiratory infection warrants further consideration.

AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementia.

Neurodegenerative pathologies such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Amyotrophic lateral sclerosis, Multiple sclerosis, HIV-associated neurocognitive disorder, and others significantly affect individuals, their families, caregivers, and healthcare systems. While there are no cures yet, researchers worldwide are actively working on the development of novel treatments that have the potential to slow disease progression, alleviate symptoms, and ultimately improve the overall health of patients. Huge volumes of new scientific information necessitate new analytical approaches for meaningful hypothesis generation. To enable the automatic analysis of biomedical data we introduced AGATHA, an effective AI-based literature mining tool that can navigate massive scientific literature databases, such as PubMed. The overarching goal of this effort is to adapt AGATHA for drug repurposing by revealing hidden connections between FDA-approved medications and a health condition of interest. Our tool converts the abstracts of peer-reviewed papers from PubMed into multidimensional space where each gene and health condition are represented by specific metrics. We implemented advanced statistical analysis to reveal distinct clusters of scientific terms within the virtual space created using AGATHA-calculated parameters for selected health conditions and genes. Partial Least Squares Discriminant Analysis was employed for categorizing and predicting samples (122 diseases and 20889 genes) fitted to specific classes. Advanced statistics were employed to build a discrimination model and extract lists of genes specific to each disease class. Here we focus on drugs that can be repurposed for dementia treatment as an outcome of neurodegenerative diseases. Therefore, we determined dementia-associated genes statistically highly ranked in other disease classes. Additionally, we report a mechanism for detecting genes common to multiple health conditions. These sets of genes were classified based on their presence in biological pathways, aiding in selecting candidates and biological processes that are exploitable with drug repurposing.

AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementia.

Neurodegenerative pathologies such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Amyotrophic lateral sclerosis, Multiple sclerosis, HIV-associated neurocognitive disorder, and others significantly affect individuals, their families, caregivers, and healthcare systems. While there are no cures yet, researchers worldwide are actively working on the development of novel treatments that have the potential to slow disease progression, alleviate symptoms, and ultimately improve the overall health of patients. Huge volumes of new scientific information necessitate new analytical approaches for meaningful hypothesis generation. To enable the automatic analysis of biomedical data we introduced AGATHA, an effective AI-based literature mining tool that can navigate massive scientific literature databases, such as PubMed. The overarching goal of this effort is to adapt AGATHA for drug repurposing by revealing hidden connections between FDA-approved medications and a health condition of interest. Our tool converts the abstracts of peer-reviewed papers from PubMed into multidimensional space where each gene and health condition are represented by specific metrics. We implemented advanced statistical analysis to reveal distinct clusters of scientific terms within the virtual space created using AGATHA-calculated parameters for selected health conditions and genes. Partial Least Squares Discriminant Analysis was employed for categorizing and predicting samples (122 diseases and 20889 genes) fitted to specific classes. Advanced statistics were employed to build a discrimination model and extract lists of genes specific to each disease class. Here we focus on drugs that can be repurposed for dementia treatment as an outcome of neurodegenerative diseases. Therefore, we determined dementia-associated genes statistically highly ranked in other disease classes. Additionally, we report a mechanism for detecting genes common to multiple health conditions. These sets of genes were classified based on their presence in biological pathways, aiding in selecting candidates and biological processes that are exploitable with drug repurposing. Author Summary: This manuscript outlines our project involving the application of AGATHA, an AI-based literature mining tool, to discover drugs with the potential for repurposing in the context of neurocognitive disorders. The primary objective is to identify connections between approved medications and specific health conditions through advanced statistical analysis, including techniques like Partial Least Squares Discriminant Analysis (PLSDA) and unsupervised clustering. The methodology involves grouping scientific terms related to different health conditions and genes, followed by building discrimination models to extract lists of disease-specific genes. These genes are then analyzed through pathway analysis to select candidates for drug repurposing.

Fluoxetine, fluvoxamine, and hearing loss or tinnitus after cisplatin treatment: A retrospective cohort study.

Cisplatin use is often limited by its ototoxic side effects, which can lead to irreversible hearing loss. Preventing cisplatin-induced ototoxicity is crucial to improve patient outcomes. Fluoxetine and fluvoxamine, both selective serotonin reuptake inhibitors antidepressants, inhibit the NLR pyrin domain-containing protein 3 inflammasome, a potential therapeutic target for preventing ototoxicity. However, human studies have not evaluated if these antidepressants may protect against cisplatin-induced ototoxicity. The object of this study is to assess the association between fluoxetine or fluvoxamine use and incidence of hearing loss or tinnitus in a large cohort of patients receiving cisplatin chemotherapy. We use a retrospective cohort study within the U.S. Department of Veterans Affairs healthcare system. Adult patients with cancer who received cisplatin chemotherapy between 2000 and 2023 are included. Incidence of ototoxicity, defined by international classification of diseases revision 9-CM or international classification of diseases revision 10-CM diagnoses of hearing loss or tinnitus is compared between concurrent use of fluoxetine or fluvoxamine and cisplatin alone. A total of 20,552 patients were included. Of those, 489 received cisplatin and fluoxetine or fluvoxamine. After propensity score adjustment, the hazard of ototoxicity was lower in the group receiving fluoxetine or fluvoxamine compared to the group receiving cisplatin alone (HR = 0.62, 95% CI = (0.41-0.94)). Fluoxetine or fluvoxamine use may be associated with a reduced risk of cisplatin-induced ototoxicity. Randomized clinical trials are needed to confirm these findings and establish the efficacy of the medications in ototoxicity prevention. Further research is also warranted to investigate the potential mechanisms underlying this protective effect.

Alzheimer Disease Treatment With Acetylcholinesterase Inhibitors and Incident Age-Related Macular Degeneration.

Importance: Age-related macular degeneration (AMD) is a serious and common ophthalmologic disorder that is hypothesized to result, in part, from inflammatory reactions in the macula. Alzheimer disease (AD) treatment, acetylcholinesterase inhibitors (AChEIs), have anti-inflammatory effects and it remains unclear if they modify the risk of AMD. Objective: To investigate the association between AChEI medications and the incidence of AMD. Design, Setting, and Participants: This propensity score-matched retrospective cohort study took place at health care facilities within the US Department of Veterans Affairs (VA) health care system from January 2000 through September 2023. Participants included patients diagnosed with AD between ages 55 and 80 years with no preexisting diagnosis of AMD in the VA database. Exposure: AChEIs prescription dispensed as pharmacologic treatments for AD. Main Outcomes and Measure: The first diagnosis of AMD. Results: A total of 21 823 veterans with AD (mean [SD] age, 72.3 [6.1] years; 21 313 male participants [97.7%] and 510 female participants [2.3%]) were included. Propensity score-matched Cox model reveals each additional year of AChEI treatment was associated with a 6% lower hazard of AMD (hazard ratio, 0.94; 95% CI, (0.89-0.99). Conclusions and Relevance: This observational study reports a small reduction in the risk of AMD among veterans with AD receiving AChEIs. Randomized clinical trials would be needed to determine if there is a cause-and-effect relationship and further research is required to validate these findings across diverse populations.

Collateral damage of NUDT15 deficiency in cancer provides a cancer pharmacogenetic therapeutic window with thiopurines.

Genome instability is a hallmark of cancer and are driven by mutations in oncogenes and tumor suppressor genes. Despite successes seen with select targeted therapeutics, this type of personalized medicine is only beneficial for a small subpopulation of cancer patients who have one of a few actionable genetic changes. Most tumors also contain hundreds of passenger mutations that offered no fitness advantage or disadvantage during tumor evolution. Mutations in known pharmacogenetic (PGx) loci for which germline variants encode variability in drug response can cause somatically acquired drug sensitivity. The NUDT15 gene is a known PGx locus that participates in the rate-limiting metabolism of thiopurines. People with two defective germline alleles of NUDT15 are hypersensitive to the toxic effects of thiopurines. NUDT15 is located adjacent to the Retinoblastoma ( RB1 ) tumor suppressor gene, which often undergoes homozygous deletion in retinoblastomas and other epithelial cancers. We observed that RB1 undergoes homozygous deletions in 9.4% of prostate adenocarcinomas and 2.5% of ovarian cancers, and in nearly all of these cases NUDT15 is also lost. Moreover, 44% of prostate adenocarcinomas and over 60% of ovarian cancers have lost one allele of NUDT15, which predicts that a majority of all prostate and ovarian cancers have somatically acquired hypersensitivity to thiopurine treatment. We performed a retrospective analysis of >16,000 patients in the US Veterans Administration health care system and found concurrent xanthine oxidase inhibition (XOi) and thiopurine usage for non-cancer indications is significantly associated with reduced incidence of prostate cancer. The hazard ratio for the development of prostate cancer in patients treated with thiopurines and XOi was 0.562 (0.301-1.051) for the unmatched cohort and 0.389 (0.185-0.819) for the propensity score matched cohort. We experimentally depleted NUDT15 from ovarian and prostate cancer cell lines and observed a dramatic sensitization to thiopurine-induced and DNA damage-dependent toxicity. These results indicate that somatic loss of NUDT15 predicts therapeutic sensitivity to a low cost and well tolerated drug with a broad therapeutic window.