Literature DB >> 31417309

Statin use and its potential therapeutic role in esophageal cancer: a systematic review and meta-analysis.

Cen Zhou1, Xi Zhong1, Peng Gao1, Zhonghua Wu1, Jinxin Shi1, Zhexu Guo1, Zhenning Wang1, Yongxi Song1.   

Abstract

Purpose: Statins, known as inhibitors of 3-hydroxy-3-methylglutaryl-coenzyme A (HMG CoA) reductases, are designed to treat lipid disorders, especially hypercholesterolemia. Apart from their role in preventing heart diseases in patients with high cholesterol, recent evidence suggests that statins have anti-tumor properties. However, studies assessing the association between statin use and esophageal cancer survival outcomes have provided controversial results.
Methods: We conducted a systematic review and meta-analysis focusing on studies evaluating associations between statin use and survival outcomes for esophageal cancer patients.
Results: A total of five cohort studies comprising 24,576 patients were included. Statin use associated with improved overall survival (OS: HR 0.84, 95% CI, 0.75-0.94) and disease-free survival (DFS: HR 0.84, 95% CI, 0.75-0.96) of esophageal cancer patients. The improved survival outcomes were consistent in the esophageal adenocarcinoma subgroup and the esophageal squamous cell cancer subgroup.
Conclusion: A potential therapeutic role of statins in esophageal cancer has been demonstrated in our study, however, the results should be interpreted cautiously and need further confirmation by future studies.

Entities:  

Keywords:  drug repositioning; esophageal cancer; statins; survival outcome

Year:  2019        PMID: 31417309      PMCID: PMC6592054          DOI: 10.2147/CMAR.S193945

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Esophageal cancer, the sixth most common cause of cancer-related death worldwide, has become a serious public health concern.1 It was recently estimated to account for over 16,940 new cases and 15,690 cancer-related deaths in America alone in 2017.2 Although improvements in early diagnosis have marginally reduced the mortality of esophageal cancer, the prognosis of esophageal cancer patients remains unsatisfactory due to lymph node metastasis and high risk of tumor recurrence in situ after resection.3 Drug repositioning, defined as finding new indications for existing drugs, was first introduced to the public in a landmark article written by Ashburn and Thor in 2004.4 Drug repositioning has been proposed as a way to partly solve the gap between low productivity and ever-increasing pharmaceutical research and development spending faced by the biopharmaceutical industry.4 Several successful examples of drug repositioning have inspired extensive efforts to identify existing drugs with new potential unexpected benefits in diseases like cancer.5 A famous example of drug repositioning is thalidomide which has proven promising therapeutic effects on multiple myeloma and prostate cancer.6,7 Other well-known examples of drug repositioning include aspirin and metformin, which are reported to exert anti-cancer effects on colorectal cancer and endometrial cancer, respectively,.8,9 Statins, known as inhibitors of 3-hydroxy-3-methylglutaryl-coenzyme A (HMG CoA) reductases, are designed to treat lipid disorders, especially hypercholesterolemia.10 Apart from their role in preventing heart diseases in patients with high cholesterol, recent evidence suggests that statins have anti-tumor properties.11,12 Preclinical studies have shown that statin use has a direct restrictive effect on the growth of human esophageal adenocarcinoma (EAC) cells.13,14 Additional studies demonstrated a potential preventive role of statin use on esophageal cancer.15 However, contrasting results were seen in studies assessing the association between statin use and esophageal cancer survival outcomes. Since reviewing existing evidence can provide more comprehensive insights for further research to explore potential therapeutic effects of statins in treating esophageal cancer, we conducted a systematic meta-analysis to thoroughly investigate whether statin use exerts therapeutic effects in esophageal cancer patients.

Methods

Design

This systematic review and meta-analysis were conducted in accordance with the provisions of the Cochrane Handbook, and the results were reported following the Preferred Reporting Items of Systematic reviews and Meta-Analyses (PRISMA) guidelines.16 The 27-point PRISMA Checklist was presented in . A systematic literature search was performed of the electronic databases PubMed, Embase, and Web of Science from inception through July 22, 2018, and then updated with two additional databases (Cochrane library and clinicaltrials.gov) on March 3, 2019, without consideration of language or publication year, to include all studies investigating associations between statin use and survival outcomes for esophageal cancer patients. The databases were searched using the following strategy: (HMG-CoA reductase inhibitor* OR statin* OR atorvastatin OR fluvastatin OR lovastatin OR pravastatin OR rosuvastatin OR pitavastatin OR simvastatin) AND (cancer OR neoplasm OR tumor OR malignan*) (“*” stands for truncation searching). A manual screen of reference lists cited in the retrieved articles was also conducted to identify additional related articles.

Study selection

Studies that met the following criteria were included: 1) studies clearly enrolled patients who were adults diagnosed with esophageal cancer, 2) studies clearly defined comparison of statin use, whether to placebo or no statin use, regardless of type, dosage, or frequency, and 3) outcomes of interest were overall survival (OS), cancer-specific survival, disease-free survival (DFS), and progression-free survival (PFS). Non-original studies, such as reviews, systematic reviews and meta-analyses, case reports, editorials, and letters to editors, were excluded. When cohorts overlapped in two or more studies, only the most recent publication was included. The title and abstract of all identified studies were independently reviewed by two reviewers (CZ and XZ) to exclude studies that clearly did not meet the inclusion criteria. The full texts of the remaining studies were further reviewed by the same two reviewers prior to final inclusion. Any discrepancies were resolved through discussions.

Data extraction

The following details were extracted from the selected studies: first author of the study, publication year, study country, study design, histological type, follow-up period, sample size, initial treatment for esophageal cancer, hazard ratios (HRs) with corresponding 95% confidence intervals (CIs), and adjustment variables. The Newcastle-Ottawa quality assessment scale (NOS) was used to evaluate the quality of eligible articles, with articles categorized as low (0–3), moderate (4–6), or high quality (7–9) according to their scores.17

Statistical analyses

Statistical analyses were conducted using STATA version 12.0 (StataCorp. LLC, College Station, TX, USA). A random-effects model was used to conduct quantitative synthesis to provide more conservative estimates,18,19 considering that even when the estimate of I2 equals 0, the 95% CIs around I2 can be wide and the upper 95% CI often exceeds the 50% threshold.20 Heterogeneity among the included studies was estimated using the Cochran Q (X2) statistic and I2 statistic, with I2>50% indicating substantial heterogeneity.21 Subgroup analyses were performed based on study country of origin, study design, tumor site, or treatment pattern to explore possible sources of heterogeneity. Potential publication biases were assessed using funnel plots, Begg’s and Egger’s tests.22,23 The 95% prediction interval (PI) was calculated to predict the potential effect of statin use in an individual study setting and was more conservative than the average effect indicated by the 95% CI.24

Results

Study selection and the characteristics of included studies

Of the 11,825 eligible publications in the initial database search and manual reference screening, 11,697 remained after removing duplicates. After excluding 11,579 records based on reviewing the title and abstract, 118 potentially relevant records remained for further review. A total of five cohort studies comprising 24,576 patients met the inclusion criteria after excluding 113 investigations identified as inadequate ().25–29 Figure 1 shows the flowchart of the study selection. All included studies were cohort studies published between 2016 and 2019 in English journals. Two were conducted in North America, two in the United Kingdom, and the remaining one was from Belgium. Details of follow-up duration were available in Chris et al, George et al, and Lacroix et al, with median follow-up times ranging from 2 to 3.3 years.26,27,29 Data for OS and DFS were reported in all included studies, and these outcomes were reported both before and after adjustment in most studies. Sex, age at diagnosis, tumor grade, cancer treatment, and pre-diagnosis use of statins are frequently examined covariates adjusted for in Cox’s proportional hazard model. The basic and summarized characteristics of the eligible studies are provided in Table 1. The methodological quality of the included studies was deemed moderate, with all scoring six in the assessment using the NOS checklist (Table 2).
Figure 1

The selection process for the included studies.

Table 1

Baseline characteristics of included studies

StudyPublication yearCountryStudy period (Follow-up period)Study designPopulationOverall survival HR (95% CI)Disease-free survival HR (95% CI)Covariates in multivariable models
Chris et al.272017UK2009–2015 (median 2 years)Retrospective Cohort1,921Overall: Unadjusted1.02(0.92–1.14)Adjusted0.94(0.82–1.07)Overall: Unadjusted0.97(0.86–1.09)Adjusted0.93 (0.81–1.07)EAC: Unadjusted0.97(0.84–1.14)Adjusted 0.90(0.75–1.08)ESCC: Unadjusted0.99(0.80–1.21)Adjusted0.94(0.73–1.21)Sex, age, year of diagnosis, deprivation, cancer treatment within 6 months (radiotherapy, chemotherapy, surgery), comorbidities (prior to diagnosis, including acute myocardial infarction, congestive heart disease, peripheral vascular disease, cerebral vascular accident, pulmonary disease, peptic ulcer, liver disease, diabetes, renal disease) and aspirin use (as time varying covariate)
Leo et al.282016UK2000–2011Retrospective Cohort4,445Overall: Unadjusted0.82 (0.75–0.89)Adjusted0.67 (0.58–0.77)EAC:Unadjusted0.75 (0.59–0.96)Adjusted 0.60(0.43–0.92)ESCC: Unadjusted1.12 (0.74–1.68)Adjusted0.78 (0.41–1.50)Overall: Unadjusted0.71 (0.57–0.89)Adjusted:0.62 (0.44–0.86)EAC:Unadjusted0.70(0.51–0.96)Adjusted0.61(0.38–0.96)ESCC:Unadjusted1.08(0.65–1.81)Adjusted0.65(0.29–1.46)Age, gender, body mass index, smoking status, cardiovascular diseases, diabetes, surgery, pre-diagnosis statin use, post-diagnosis use of aspirin, betablockers, NSAIDs, and ACEI/ARBs, except surgery.
George et al.262016USA2003–2010 (median 3.3 years)Retrospective Cohort222Adjusted7.58(2.12–27.18)Adjusted6.00(1.90–18.94)Age, BMI, AJCC stage, cancer treatment, cumulative comorbidity, presence of metastases, tumor site.
Theresa et al.252018USA2002–2016Retrospective Cohort11,750EAC: Unadjusted0.82(0.77–0.87)Adjusted 0.80(0.74–0.86)ESCC: Unadjusted0.76(0.68–0.84)Adjusted0.83(0.74–0.95)EAC: Unadjusted0.79(0.72–0.87)Adjusted 0.79(0.70–0.88)ESCC: Unadjusted 0.71(0.60–0.83)Adjusted0.77(0.63–0.92)Age, sex, race, BMI, alcohol use, smoking status, stage, grade, treatment (surgery, chemotherapy, radiation), post-diagnosis uses of aspirin or NSAIDs (time-varying), and pre-diagnosis use of statins.
Lacroix et al.292019Belgium2004–2016 (median 2.39 years)Retrospective Cohort6,238Unadjusted0.92(0.85–1.00)Adjusted0.84(0.77–0.92)Unadjusted0.88(0.80–0.98)Adjusted0.87(0.78–0.97)Age, sex, year of diagnosis, comorbidities, cancer treatment within 6 months after diagnosis, and cancer histology.

Abbreviations: UK, United Kingdom; USA, United States of America; HR, hazard ratio; CI, confidence interval; EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma.

Table 2

The NOS quality of included studies

StudySelectionComparabilityOutcomeTotalQuality
RECSNECAEDOSCAFAOFUAFU
Chris et al.271011001116Moderate
Leo et al.281011001116Moderate
George et al.261011001116Moderate
Theresa et al.251011001116Moderate
Lacroix et al.291011001116Moderate

Note: “1” means that the study satisfied the item and “0” means the opposite situation.

Abbreviations: REC, representativeness of the exposed cohort; SNEC, selection of the nonexposed cohort; AE, ascertainment of exposure; DO, demonstration that outcome of interest was not present at start of study; SC, study controls for age, sex; AF, study controls for any additional factors; AO, assessment of outcome; FU, follow-up long enough (36M) for outcomes to occur; AFU, adequacy of follow-up of cohorts (≥90%).

Baseline characteristics of included studies Abbreviations: UK, United Kingdom; USA, United States of America; HR, hazard ratio; CI, confidence interval; EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma. The NOS quality of included studies Note: “1” means that the study satisfied the item and “0” means the opposite situation. Abbreviations: REC, representativeness of the exposed cohort; SNEC, selection of the nonexposed cohort; AE, ascertainment of exposure; DO, demonstration that outcome of interest was not present at start of study; SC, study controls for age, sex; AF, study controls for any additional factors; AO, assessment of outcome; FU, follow-up long enough (36M) for outcomes to occur; AFU, adequacy of follow-up of cohorts (≥90%). The selection process for the included studies.

Statin use and OS

The pooled estimate of OS was 0.87(95% CI, 0.79–0.96, I2=78.1%, Phet<0.001) for unadjusted HR, and 0.84 (95% CI, 0.75–0.94, I2=68.0%, Phet=0.005) for adjusted HR (Figure 2A and B). No evidence of publication bias was found via funnel plot, Begg’s test (P=0.71 for unadjusted HR, P=0.55 for adjusted HR), or Egger’s test (P=0.73 for unadjusted HR, P=0.41 for adjusted HR). We performed a subgroup analysis based on the two main histological subtypes of esophageal cancer. In the EAC subgroup, the pooled estimate of OS was 0.82 (95% CI 0.77–0.87, I2=0.0%, Phet=0.486) for unadjusted HR, and 0.74 (95% CI 0.57–0.95, I2=52.7%, Phet=0.146) for adjusted HR. In the esophageal squamous cell cancer (ESCC) subgroup, the pooled estimate of OS was 0.88 (95% CI 0.61–1.26, I2=69.0%, Phet=0.073) for unadjusted HR, and 0.83 (95% CI 0.73–0.94, I2=0.0%, Phet=0.854) for adjusted HR.
Figure 2

(A) The pooled estimate of unadjusted OS. (B) The pooled estimate of adjusted OS. (C) The pooled estimate of unadjusted DFS. (D) The pooled estimate of adjusted DFS.

Abbreviations: EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma; NS, not specified.

(A) The pooled estimate of unadjusted OS. (B) The pooled estimate of adjusted OS. (C) The pooled estimate of unadjusted DFS. (D) The pooled estimate of adjusted DFS. Abbreviations: EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma; NS, not specified.

Statin use and DFS

The pooled estimate of DFS was 0.84 (95% CI, 0.77–0.92, I2=55.9%, Phet=0.034) for unadjusted HR, and 0.84 (95% CI 0.75–0.96, I2=59%, Phet=0.017) for adjusted HR (Figure 2C and D). No evidence of publication bias was found via funnel plot, Begg’s test (P=1.00 for unadjusted HR, P=0.71 for adjusted HR), or Egger’s test (P=0.65 for unadjusted HR, P=0.47 for adjusted HR). The subgroup analysis showed that the pooled estimate of DFS was 0.83 (95% CI 0.70–0.99, I2=67.5%, Phet=0.046) for unadjusted HR, and 0.81 (95% CI 0.71–0.93, I2=31.2%, Phet=0.234) for adjusted HR in the EAC subgroup, and 0.87 (95% CI 0.66–1.15, I2=72.7%, Phet=0.026) for unadjusted HR, 0.82 (95% CI 0.71–0.95, I2=0.0%, Phet=0.394) for adjusted HR in the ESCC subgroup. Due to insufficient data provided in the included studies, we were unable to investigate associations between statin use and risks of progression, recurrence, or metastasis.

Discussion

Main findings and interpretation in light of the evidence

Statins are commonly prescribed cholesterol-lowering agents with an established human safety profile. Statins were recently reported to have anti-cancer activity, making them good candidates for drug repositioning. A series of basic studies have shown that statins inhibit the proliferation of EAC and ESCC cell lines by promoting apoptosis.14,30 A recent systematic review and meta-analysis also reported that statins may play a preventive role against developing esophageal cancer in subjects with or without Barrett’s esophagus.31 Results from epidemiologic studies have demonstrated that statin use after diagnosis is associated with reduced mortality from a range of malignant tumors, including breast, colorectal, and prostate carcinomas.32,33 However, controversies remain between studies exploring whether statin use improves the survival outcomes of esophageal cancer patients. In this meta-analysis, we systematically and comprehensively assessed all studies that we could access that investigated the associations between statin use and survival outcomes for esophageal cancer patients. Among the five included studies comprising 24,576 esophageal cancer patients, we found that statin use statistically significantly reduced both all-cause mortality and cancer-specific mortality by 16%. It is worth addressing that we chose a random-effects model to provide more conservative results than a fixed-effects model could, accounting for the significant heterogeneity shown in our quantitative syntheses. Furthermore, we performed subgroup analyses based on histological subtypes to explore the origin of the observed heterogeneity. The statistically significant heterogeneity no longer persisted in EAC and ESCC subgroups in the meta-analyses of adjusted or unadjusted HR for OS and adjusted HR for DFS, but it persisted in the meta-analysis of unadjusted HR for DFS, suggesting that histological subtype may partially account for the observed heterogeneity. Meanwhile, subgroup analysis demonstrated a 19% reduced risk in DFS rates and 26% reduced risk in OS rates in the EAC subgroup, with 18% and 17% reductions, respectively, in the ESCC subgroup. All results of overall synthesis and subgroup analysis reached statistical significance, indicating that statins improve OS and DFS in esophageal cancer patients irrespective of histological subtype. The funnel plots, Begg’s test, and Egger’s test showed no indication of publication bias, strengthening the validity of this work. It is worth mentioning that George et al,26 which only provided adjusted HRs for OS and DFS, had a sample size (222) much smaller than the other four studies (1,921, 4,445, 11,750, and 6,238), and caused substantial variance considering the broad 95% CI. When we re-performed the quantitative syntheses of adjusted HR and 95% CI excluding George et al, the overall effect of statin uses on improving OS (adjusted HR:0.83, 95% CI 0.78–0.89, P<0.001) and DFS (adjusted HR:083, 95% CI 0.78–0.89, P<0.001) was even more significant, suggesting that potential therapeutic effects of statins for esophageal cancer patients may be confirmed by acquiring sufficient data and decreasing heterogeneity. Our results indicate a potential overall therapeutic effect of statins on esophageal cancer, regardless of histological subtype. To better probe this therapeutic role of statins in clinical practice, we calculated the 95% PI to explore the therapeutic effects on an individual study level. The 95% PI for OS (0.46–1.45) and DFS (0.43–1.51) both crossed the value of one, possibly because we only included five studies of relatively small sample sizes and with substantial heterogeneity. Thus, the results of our study require further confirmation with more large-scale studies and should currently be interpreted with caution. Nonetheless, this study demonstrates a potential therapeutic effect of statins and a promising future for further recommendation of statins as an alternative option for current treatment strategies.

Strengths and limitations

This is the first meta-analysis to address the association between statin use and survival outcomes of esophageal cancer patients. Furthermore, we calculated the 95% PI in our study which has rarely been included in previous meta-analyses studying the association between statin use and survival outcomes in other cancers.24 In contrast to CI, PI predicts the potential therapeutic effect of statin use on esophageal cancer patients in an individual study setting and is more applicable to translating meta-analysis results into clinical practice.24 Still, our study has several limitations. First, the number of included studies is limited, so the statistically-significant results found here need further confirmation by relevant future studies. Second, due to insufficient data provided in the included studies, we focused mainly on two survival outcomes, OS and DFS, and were unable to investigate associations between statin use and risk of progression, recurrence or metastasis, which are all critical indicators of the prognosis of esophageal cancer patients. Third, substantial heterogeneity exists among the included studies due to the divergent type, dose, duration, and pattern of statin use and the innate differences of research centers and populations. These limitations are largely caused by the insufficient data available. Our team will update this systematic review and meta-analysis when more data are provided in future studies.

Conclusion

In conclusion, this study demonstrates that statins may improve OS and DFS in esophageal cancer patients. However, the potential therapeutic roles of statins in esophageal cancer should be interpreted cautiously and need further confirmation by future studies.
  33 in total

Review 1.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

Review 2.  Drug repositioning: identifying and developing new uses for existing drugs.

Authors:  Ted T Ashburn; Karl B Thor
Journal:  Nat Rev Drug Discov       Date:  2004-08       Impact factor: 84.694

3.  Statins exhibit anticancer effects through modifications of the pAkt signaling pathway.

Authors:  Erica Miraglia; Johan Högberg; Ulla Stenius
Journal:  Int J Oncol       Date:  2011-10-06       Impact factor: 5.650

4.  Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2010-07-22       Impact factor: 8.082

5.  Long-term effect of aspirin on colorectal cancer incidence and mortality: 20-year follow-up of five randomised trials.

Authors:  Peter M Rothwell; Michelle Wilson; Carl-Eric Elwin; Bo Norrving; Ale Algra; Charles P Warlow; Tom W Meade
Journal:  Lancet       Date:  2010-10-21       Impact factor: 79.321

Review 6.  Uncertainty in heterogeneity estimates in meta-analyses.

Authors:  John P A Ioannidis; Nikolaos A Patsopoulos; Evangelos Evangelou
Journal:  BMJ       Date:  2007-11-03

7.  Tailoring initial treatment for newly diagnosed, transplantation-eligible multiple myeloma.

Authors:  Edward A Stadtmauer
Journal:  Oncology (Williston Park)       Date:  2010-03       Impact factor: 2.990

8.  Interpretation of random effects meta-analyses.

Authors:  Richard D Riley; Julian P T Higgins; Jonathan J Deeks
Journal:  BMJ       Date:  2011-02-10

9.  Randomized phase II trial of docetaxel plus thalidomide in androgen-independent prostate cancer.

Authors:  William L Dahut; James L Gulley; Philip M Arlen; Yinong Liu; Katherine M Fedenko; Seth M Steinberg; John J Wright; Howard Parnes; Clara C Chen; Elizabeth Jones; Catherine E Parker; W Marston Linehan; William D Figg
Journal:  J Clin Oncol       Date:  2004-07-01       Impact factor: 44.544

10.  Statins inhibit proliferation and induce apoptosis in Barrett's esophageal adenocarcinoma cells.

Authors:  Olorunseun O Ogunwobi; Ian L P Beales
Journal:  Am J Gastroenterol       Date:  2008-03-24       Impact factor: 10.864

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  2 in total

Review 1.  Statins as Potential Therapeutics for Esophageal Cancer.

Authors:  Ali Fatehi Hassanabad; Jonathan V S Wong
Journal:  J Gastrointest Cancer       Date:  2021-05-31

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