Qiang Zhou1†
Peter N. Devreotes
Zhenyu Zhang- 1Department of Administration, Shenzhen Center for Prehospital Care, Shenzhen, China
- 2Department of Cell Biology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
- 3Preventive Medicine, School of Public Health, China Medical University, Shenyang, Liaoning, China
- 4Department of Global Health, Peking University School of Public Health, Beijing, China
- 5Institute for Global Health and Development, Peking University, Beijing, China
Background: Statin therapy has been shown to reduce mortality in a wide range of cancer types and overall stages. Still, there is uncertainty about its efficacy in increasing survival among advanced cancer patients.
Methods: We conducted a meta-analysis with data from all studies that compared the hazard ratio of overall survival, cancer-specific survival, and progression-free survival in patients with advanced-stage cancer who receive statin therapy. Studies were selected from the PubMed, Embase, and Web of Science databases from their inception to December 31, 2022. Cancer types are limited to those rarely screened during the annual examination and more likely to develop into advanced stages, such as lung, pancreatic and ovarian cancers. This resulted in 27 studies eligible for meta-analysis.
Results: Statin therapy was associated with a 26% decreased risk of overall survival (HR, 0.74; 95% CI, 0.67, 0.81), 26% decreased risk of cancer-specific survival (HR, 0.74; 95% CI, 0.61-0.88), and 24% decreased risk of progression-free survival (HR, 0.76; 95% CI, 0.65-0.87) for advanced-stage cancer patients. The associations were not attenuated or reinforced by study design, study regions, cancer types, or other medical care. Concomitant use of other anticancer medications did not result in confounding effects.
Conclusions: Statin therapy produces significant benefits on overall survival and cancer-specific survival. Although the benefits might be lower than the approved immunotherapy medications, its cost-effectiveness could lead to dramatic health consequences. Concomitant use of statin drugs as cancer treatments is highly recommended in future clinical trials.
Introduction
Statins, also known as 3-hydroxy-3-methyl-glutaryl-coenzyme A (HMG-CoA) reductase inhibitors, are a class of cholesterol-lowering medications that reduce the risk of cardiovascular diseases. Statin use in the US has dramatically increased since lovastatin was approved by the Food and Drug Administration (FDA) in 1987 (1). In addition to their clinical benefits for cardiovascular events, statins have been widely investigated for cancer outcomes (2–6). In 1996, an increased incidence of breast cancer in patients given pravastatin was seen in the CARE trial (2). Afterward, consolidated results from several experimental studies and large, high-quality randomized trials demonstrated that statins had beneficial effects on cancer prevention (5, 7, 8).
Statins inhibit HMG coenzyme reductase, which converts HMG coenzyme A to mevalonate, and, reduces the availability of cholesterol and isoprenoids (9). In vitro studies have suggested that these metabolites play a vital role in cancer cell proliferation (10–12). On the one hand, cholesterol present in membrane microdomains is reported to be a prominent mediator of the Akt signaling pathway in cancer cells, which contributes to cell survival (13, 14). On the other hand, isoprenoids, especially geranylgeranyl diphosphate (GGPP), are required for the posttranslational modification of proteins that localize to the membrane. Some of these proteins, such as Rap, Rho and certain Ras proteins, are involved in networks essential for cancer cell survival (15–17). Moreover, the inhibitory effects of statins, and in particular GGPP depletion, on tumor suppression were observed in human cell lines and mouse models (17, 18). The beneficial effects of statins on inhibiting proliferation or killing cancer cells provide a molecular basis for the potential application of statins for cancer prevention in patients.
Statins have been shown to reduce cancer-related mortality (7, 19). However, few clinical trials and observational studies have evaluated the protective effects of statins in patients with advanced-stage caner (20–25). It has been reported that statin regimens were associated with prolonged on median survival (18 months) compared with the non-statin users (9 months) in patients with advanced hepatocellular carcinoma in a randomized controlled trial on overall survival (25). However, others have reported that statins use was not associated with overall survival in patients with advanced hepatocellular carcinoma and ovarian cancer (21, 24). Because there are conflicting reports, meta-analyses that only include patients with advanced-stage cancer are needed to clarify the association between statins and mortality from advanced-stage cancer. Currently, one meta-analysis is available to assess the effects of statins on advanced cancer mortality, however, it is restricted to prostate cancer with androgen deprivation therapy and only includes retrospective studies (26). Aiming to more fully understand how statins influence mortality in patients with advanced-stage cancer, we conducted a meta-analysis by collecting data from patients with advanced cancer (higher than stage 3 or metastatic) according to the American Joint Committee on Cancer staging manual (AJCC) staging system and then investigated the overall effects of statin therapy. Cancer types are limited to those that are rarely screened during annual examination and more likely to develop into advanced stages.
Materials and methods
Search strategy and selection criteria
We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases from inception to December 31, 2022 (Figure 1). A combination of MeSH terms and text words was used to identify published papers on the assessment of statin use and survival in advanced cancer. The search strategy is shown in eAppendix 1. In addition, we hand-searched the bibliographies of selected papers to identify additional relevant studies. No study design or language restriction was applied. Studies were selected based on the inclusion and exclusion criteria presented in Textbox 1.
Figure 1 Study selection for the effect of statin on patients with advanced-stage cancer.
Title and abstract screening were performed using Covidence. The full text of the selected studies was reviewed to determine the eligibility of inclusion. Data extraction and risk of bias analysis were performed independently by two authors (YXL and ZHJ), with any disagreements resolved by consensus.
Data extraction and quality assessment
Data from each study were extracted using a standardized form, which included information on study characteristics (study design, source, time period, sample size), cancer (cancer type and stage), and drugs (statin type and dose). We contacted the authors of the original papers if some information was missing or unclear.
We assessed the risk of bias using the Newcastle-Ottawa scale for observational studies (27), based on the items of selection, comparability of groups, and exposure/outcome assessment. We applied criteria developed by the US Preventive Services Task Force Procedure (USPSTF12) to rate the quality of RCTs based on randomization methods, double-blind designs, and follow-up reporting (28). More detailed information on the quality assessment is available in the Supplementary Material.
Data synthesis and analysis
Data abstracted included the year of publication, country, number of patients, study period, study design, cancer types, cancer stage, statin generic name, follow-up time, and primary outcomes. We conducted separate analyses for statin usage and overall survival, cancer-specific survival, and progression-free survival among patients with advanced-stage cancer. For studies combining statins with another treatment to improve overall survival, we recalculated the independent effect of statins on the survival rate. Because of the expected heterogeneity in population characteristics and study methodology, a Q statistic with a value of p <.1 or an I (2) statistic > 50% was considered to indicate significant heterogeneity between studies. If significant heterogeneity was present, a random-effects model of analysis was used; otherwise a fixed-effects model of analysis was used to combine hazard ratios to account for both between- and within-study variability.
We assessed publication bias graphically using funnel plots and statistically using Eggers’ test. We assessed heterogeneity using the I (2) statistic. We used subgroup analysis to determine sources of heterogeneity. Subgroup analysis included study design (RCT vs. observational studies), statin types (hydrophilic vs. lipophilic), study regions (the United States vs. European vs. Asian countries), cancer types (digestive system cancer vs. respiratory system cancer vs. reproductive system cancer), or treatment regimen (use of statins alone vs. statins combined with other medications). Statistical tests were 2-sided, and we used a significance threshold of P <.05. Statistical analyses were performed using the meta module of STATA MP, version 16 (Stata Corp LP, College Station, TX).
Results
Literature search results
We identified 3,877 relevant randomized controlled trials and prospective and retrospective cohort studies by searching three databases and reviewing relevant bibliographies. We excluded 1,346 duplicate articles and an additional 2,250 articles that did not fulfill the selection criteria. After reviewing the full text of the remaining 281 articles, 254 were excluded for several reasons, as shown in Figure 1. We included 27 randomized controlled trials and observational studies in the final analyses.
Characteristics of identified trials
The included studies involved a total of 163,005 participants from more than 17 countries and consisted of 3 randomized controlled trials and 24 observational studies reported from April 2001 through December 2022. Among the studies, the median follow-up period was 41.2 months (ranging from 3.1 to 87.6 months), with a daily dose of statin ranging from 10 mg to 40 mg (Table 1). All three randomized controlled trials were designed with simvastatin (29–32). Among 24 observational studies, one observational study used pravastatin as the single agent (23). All the other observational studies described several statins in their research and one study evaluated the effects of each generic statin separately on survival rates (33).
Table 1 Characteristics of studies about the association between statins and advanced-stage cancer survival.
The studies evaluated the effects of statin usage among patients with advanced-stage cancer. There are eight studies for patients with the advanced stage prostate cancer (6, 33–39), four for the advanced stage pancreatic cancer (40–43), five for advanced stage lung cancer (29, 31, 44–46), one for advanced hepatocellular carcinoma (47), three for the advanced stage ovarian cancer (24, 48, 49), two for advanced stage gastric cancer (23, 30), one for advanced stage esophageal adenocarcinoma (50), one for advanced stage glioma (51), one for advanced renal cell carcinoma (52), and one for cancer patients with brain metastasis (52, 53).
Quality evaluation
Among the studies, the mean quality score evaluated by the New Castle-Ottawa Scale was 8.0 for the observational studies (Table S1), with 9 points for nine studies, 8 points for six studies, and 6-7 points for nine studies that had lower scores for outcome assessment. Among the clinical trials, there were two studies rated as “good” and two studies rated as “fair” on the scale by the US Preventive Services Task Force Procedure (Table S2). The “good” RCT studies generally used appropriate randomization methods in the study design, while the “fair” ones consisted of some limitations in study design, quality or precision.
Primary analysis
Three RCT studies and twenty-one observational studies provided information on the association between statin usage and the overall survival rate among advanced-stage cancer patients. The pooled hazard ratio showed a significantly increased chance of overall survival (HR, 0.74; 95% CI, 0.67-0.81), with evidence of substantial between-study heterogeneity (I (2) 85.4%, P <.001; Figure 2). Publication bias was not observed (the funnel plot was symmetric, and Egger’s test P = .20) (Figure S1). No individual study affected the overall estimate by more than 10% (Table S3).
Figure 2 Pooled associations between statin and overall survival in patients with advanced-stage cancer.
Seven studies provided information on the association between statin usage and the cancer-specific survival rate among advanced-stage cancer patients. The pooled hazard ratio showed a significantly increased chance of cancer-specific survival (HR, 0.74; 95% CI, 0.60-0.89), with evidence of between-study heterogeneity (I (2) 91.0%, P <.001; Figure 3). Visual inspection of the funnel plots revealed some asymmetry, but Egger’s tests for asymmetry were not statistically significant (P = .92) (Figure S2). As the power of Egger’s test will be low with small numbers of studies, we used trim-and-fill analysis to impute the omitted studies. The imputed estimation was consistent with the main result, with a pooled hazard ratio of 0.85 (95% CI, 0.48-1.22) (Figure S3). No individual study affected the overall estimate by more than 10% (Table S4).
Figure 3 Pooled associations between statin and cancer-specific mortality in patients with advanced-stage cancer.
Seven studies provided information on the association between statin usage and the progression-free survival rate among advanced-stage cancer patients. The pooled hazard ratio showed that the increased chance of progression-free survival was 0.76 (95% CI, 0.65, 0.87), with evidence of between-study heterogeneity (I (2) 55.8%, P = .04; Figure 4). Publication bias was not observed (Funnel plot is symmetric and Egger’s test P = .59) (Figure S4). No individual study affected the overall estimate by more than 10% (Table S5).
Figure 4 Pooled associations between statin and progression-free survival in patients with advanced-stage cancer.
Subgroup analysis
We performed a number of subgroup analyses according to study design, statin types, study regions and study quality (Table 2). In the analysis of overall survival, there were statistically significant differences between different study designs, and the HR of the observational study was lower (0.73 vs 0.95). Because the effects of statins on the survival rate might change with cancer type, we also conducted a subgroup analysis among the digestive system, respiratory system, reproductive system and others. No statistically significant differences were demonstrated. In addition, in some of the selected studies, patients were allocated statins and other medications, including the simultaneous use of aspirin. Even though we calculated the independent effect of statins, there might be the possibility of confounding effects. As a result, we also performed subgroup analysis of the treatment regimen (use of statins alone vs statins combined with other medications). No statistically significant differences were demonstrated in any of the three survival analyses.
Table 2 Subgroup analyses in subset of included studies according to baseline characteristics.
Discussion
In this systematic review and meta-analysis, statin treatment was associated with a decreased risk of overall mortality, cancer-specific survival and progression-free mortality for advanced-stage cancer patients. The associations were not attenuated or reinforced by study regions, cancer types and other medical care, except for the statin types. Concomitant use of other anticancer medications did not result in confounding effects. The results of this meta-analysis help to clarify the effects of statins on cancer survival in advanced-stage cancer patients and promote more eligible randomized trials with large sample sizes to be performed in the future.
The underlying mechanisms responsible for the reduced mortality by statins for advanced-stage cancer were attributable mainly to growth suppression, apoptosis induction, and antimetastatic effects. First, previous in vitro studies have demonstrated that statins can halt cancer cell proliferation by inducing G0/G1 or G2/M arrest. The involved pathways include reduction of CDK4/6 and cyclin D1 (54), blocking the CDK2/cyclin E-mediated G1/S transition (55), preventing the DNA-binding activity of NF-ĸB (56), and inhibiting DNA methyltransferases (57). Second, the induction of apoptosis was ascribed to decreased protein levels of anti-apoptotic proteins such as Bcl-2 and Bcl-xL (58, 59) and the activation of pro-apoptotic molecules such as Bax, Bad, and Caspases 3, 8, and 9 (58–61). In particular, our latest studies further explored the underlying mechanism of inducing apoptosis by statins, it was found that the depletion of GGPP rather than FPP blocked macropinocytosis, which serves as an important route for tumor nutrient uptake. Defects in macropinocytosis by statins result in protein and amino acid starvation, which further induces apoptosis (17). Finally, because metastases at distant sites rather than the primary tumors cause the majority of patients’ death (62), inhibition of metastasis by statins accounts important for the inverse association that we observed between statin use and the mortality of advanced-stage cancer. It was reported that the depletion of GGPP by statins blocks posttranslational modification of multiple small GTPase proteins to localize to the membrane. These small GTPase proteins such as RhoA, Ras and Rac are involved in cell migration and tumor invasiveness (17, 18).
We included 11 studies using other medications combined with statins for therapy, so there is the possibility of confounding effects from other treatments. However, we were able to control the suspected factors that may co-occur with the use of statins by performing subgroup analysis. Comparing the groups using statins alone with the groups using combination therapy, although the hazard ratios for using statins alone were slightly higher than those of the combination groups in the two types of survival analyses, there was no significant difference, indicating a lack of confounding effect by using other medications together with statins.
In the subgroup analysis, we were able to evaluate several potential factors that may affect the inverse association between statin therapy and mortality in advanced-stage cancer. RCT studies are commonly supposed to provide more robust evidence for meta-analysis, but in the subgroup analysis of study design, observational studies showed lower HR. Possible reasons include that these trials were designed to estimate the improvement in the effectiveness of other first-line drugs, not the effectiveness of statins alone, and more RCTs are needed to validate the robustness of our findings. In addition, accumulating data suggested that lipophilic statins provide a stronger protective effect than hydrophilic statins (63–65). However, the hydrophilic group displayed a lower hazard ratio in this study, probably because that most of the observational studies did not clarify statin types in their studies, which limited the number of included studies in this subgroup analysis. For the same reason, the significant differences we observed between each generic statin were not powerful enough to provide clinical implications, but these might be attributed to variations in pharmacokinetic properties, dosage and treatment duration, genetic factors, concomitant other medications, or patient population diversity. In terms of other factors, such as study regions, study quality, and cancer types, no significant differences were demonstrated except for the groups that included limited numbers of studies. Therefore, the subgroup analyses indicated that most of these factors did not attenuate or reinforce the association between statin treatment and the outcomes of advanced-stage cancer.
Although the protective effects of statins associated with survival rates in advanced cancer patients are lower than the approved immunotherapy medications such as PD-1 or PD-L1 inhibitors (avelumab, atezolizumab, durvalumab, nivolumab, and pembrolizumab) (66–69), which display hazard ratios of 0.57 for PD-L1 positive patients when compared with the conventional chemotherapy group (66), Statins have significant advantages as antitumour drugs. First, current lipid guidelines recommend the use of statins to reduce LDL cholesterol, and people with a history of cardiovascular disease or high LDL cholesterol are more likely to receive statins without extensive clinical safety evaluation. Second, statins are much less expensive than immunotherapy drugs. On a global scale, their cost-effectiveness could have a dramatic impact on health. In addition, our study supports the conduct of clinical trials to test the synergistic effect of statins with other approved anti-tumour drugs. In addition, some studies have reported a high risk of cardiovascular disease in cancer patients due to the cardiotoxicity of cancer therapy (70, 71). However, more studies are needed to evaluate whether statins can reduce these complications in cancer patients.
Identification of the optimal dose of statins to achieve more effectiveness in reducing cancer mortality remains a key challenge. For most of the studies included in this meta-analysis, statins were administered at a dose of 10-40 mg per day, which was the moderate-intensity statin therapy dose recommended by the American College of Cardiology/American Heart Association (ACC/AHA) for the management of blood cholesterol (72). High-intensity statin therapy has rarely been investigated for advanced-stage cancer patients, probably because a higher dose of statins (80 mg simvastatin per day) increases the risk of myopathy in myocardial infarction patients (73). In addition, a study from Denmark revealed that the cancer related mortality for overall stages did not appear to decrease as the statin dose increased (7). However, basic studies indicated that a higher dose of statins killed cancer cells more efficiently (17, 18). Therefore, more trials are needed to clarify whether the effects of reducing mortality by statins are dose dependent in advanced stage cancer patients.
Several limitations of our study need to be considered. First, there was significant heterogeneity in the magnitude of association across studies, which could be due to systemic differences in the study design, study location, characteristics of study populations, statin types, stain half-life, metabolic site, and hydrophilicity and cancer types. Nevertheless, in the sensitivity analysis excluding each study, our overall pooled effect estimates remained similar, adding to the internal validity of the conclusions. Second, there was a lack of evidence on longitudinal associations between statin therapy and survival rate in advanced-stage cancer, probably because of the considerably short survival time for advanced cancer patients. Third, a large population of randomized clinical trials with available individual participant data are required for reliable assessments of the association between different statins and survival rates for advanced cancer patients.
In conclusion, statin therapy produces significant benefits in overall survival and cancer-specific survival, irrespective of study design, study regions, cancer types and other medical care. There is low-level evidence about the efficacy of statins on progression-free survival in advanced-stage cancer. The concomitant use of statins drugs as a cancer treatment may be considered in future clinical trials.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding authors.
Author contributions
All authors were involved in the study design, data interpretation, and wrote the paper. ZJ and YL were responsible for searching the scientific literature, figure generation, data collection, data analysis and data screening. QZ was responsible for drafting the manuscript. ZZ and PD supervised this project.
Funding
This research was supported by the Sanming Project of Medicine in Shenzhen (No. SZSM201911005).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2023.1234713/full#supplementary-material
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Keywords: Advanced-stage, Cancer, Statins, Overall survival, Meta-analysis
Citation: Zhou Q, Jiao Z, Liu Y, Devreotes PN and Zhang Z (2023) The effects of statins in patients with advanced-stage cancers - a systematic review and meta-analysis. Front. Oncol. 13:1234713. doi: 10.3389/fonc.2023.1234713
Received: 05 June 2023; Accepted: 31 July 2023;
Published: 18 August 2023.
Edited by:
Wei Zhang, Northwestern University, United StatesReviewed by:
Wenjuan Kang, Tianjin Medical University Cancer Institute and Hospital, ChinaWeiguo Chen, University of Illinois Chicago, United States
Copyright © 2023 Zhou, Jiao, Liu, Devreotes and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zhenyu Zhang, zzy@pku.edu.cn; Peter N. Devreotes, pnd@jhmi.edu
†These authors have contributed equally to this work and share first authorship