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ORIGINAL RESEARCH article

Front. Pharmacol., 11 January 2022
Sec. Pharmacology of Anti-Cancer Drugs
This article is part of the Research Topic The Association between Chronic Disease Management and Cancer Risk and Prognosis View all 8 articles

Effects of Antihypertensive Drugs Use on Risk and Prognosis of Colorectal Cancer: A Meta-Analysis of 37 Observational Studies

Yujiao Deng,&#x;Yujiao Deng1,2Yuxiu Xie,&#x;Yuxiu Xie1,3Meng WangMeng Wang2Peng Xu,Peng Xu1,2Bajin WeiBajin Wei1Na Li,Na Li1,2Ying Wu,Ying Wu1,2Si Yang,Si Yang1,2Linghui Zhou,Linghui Zhou1,2Qian HaoQian Hao2Lijuan LyuLijuan Lyu2Dai Zhang,Dai Zhang1,2Zhijun Dai,
Zhijun Dai1,2*
  • 1Department of Breast Surgery, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
  • 2Department of Oncology, the 2nd Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
  • 3Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Background: Antihypertensive drugs might play a key role in the risk and poor prognosis of colorectal cancer. However, current epidemiologic evidence remains inconsistent. The aim of this study is to quantify the association between antihypertensive drugs and colorectal cancer.

Methods: To identify available studies, we systematically searched electronic databases: PubMed, Web of Science, Embase, Cochrane Library. The risk estimates and their corresponding 95% confidence intervals (CIs) were collected and analyzed by using random-effects models. Heterogeneity test and sensitivity analysis were also performed.

Results: Overall, 37 observational studies were included in this analysis (26 studies with cohort design, three studies with nested case-control design, and 8 studies with case-control design). Antihypertensive drugs did not present a significant effect on the risk or overall survival of patients with colorectal cancer [Risk ratio (RR) = 1.00, 95% CI: 0.95–1.04; Hazard ratio (HR) = 0.93, 95% CI: 0.84–1.02]. In the subgroup analysis, diuretics use was significantly associated with a worse overall survival of patients with colorectal cancer (HR = 1.27; 95% CI: 1.14–1.40). However, use of angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers was associated with improved progression-free survival of patients who suffered from colorectal cancer (HR = 0.83; 95% CI: 0.72–0.95).

Conclusion: Antihypertensive drug usage did not influence the risk and overall survival of patients with colorectal cancer in general. Further investigation reminded us that diuretics use might reduce the overall survival time in colorectal cancer patients, whereas those who took Angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers had a longer progression-free survival.

Introduction

Colorectal cancer is the third most commonly cancer in the world, and the second most deadly cancer globally (Sung et al., 2021). Some risk factors, such as genetic, lifestyle (Deng et al., 2021), obesity, and environmental factors, were reported to be associated with colorectal cancer (Dekker et al., 2019). It is estimated that approximately 47% (16.1 million individuals) U.S. residents aged >18 years suffer from hypertension and consequently use antihypertensive agents (Merai et al., 2016). Antihypertensive drugs including angiotensin-converting enzyme inhibitors (ACEI), angiotensin II receptor blockers (ARB), calcium-channel blockers (CCB), beta-blockers (BB) and diuretics are commonly used to lower blood pressure as well as reduce the occurrence and risk of cardiovascular disease (Thomopoulos et al., 2015; Ettehad et al., 2016).

The association between the use of antihypertensive agents and cancer risk have been raised as concerns since 1976. It is reported that the use of Rauwolfia in hypertension patients did not increase the risk of breast cancer (Aromaa et al., 1976). A decade later, a large multicenter screening program consisting of 1,362 cases and 1,250 controls participants, found that long-term usage of Rauwolfia elevated the risk of breast cancer (Stanford et al., 1986). Hallas demonstrated that the long-term use of ACEI increased the risk of colorectal cancer (Hallas et al., 2012), but another study concluded that ARB decreased the risk (Wang et al., 2012). A study of 14,166 patients indicated that long-term diuretics therapy might increase colon cancer-specific mortality (Tenenbaum et al., 2001). A population-based study, with a follow-up time of 6.6 years, supported that pre- or post-diagnostic BB intake was not related with colorectal cancer prognosis (Jansen et al., 2017), but a recent study suggested BB might improve overall survival (OS) (Fiala et al., 2019). In addition, a cohort study from Shanghai proposed that ARB and BB usage were associated with better survival in colorectal cancer patients (Cui et al., 2019). Previous meta-analysis also showed that the usage of ACEI/ARB resulted in a significant improved OS of patients with colorectal cancer (0.90; 95% CI 0.82–0.98; p = 0.021), but this conclusion needs to be further verified because only 5 studies were included (Zhou et al., 2020).

From the above, current evidence on the relationship between antihypertensive drugs and the risk and prognosis of colorectal cancer remains inconsistent. And several types of antihypertensive drugs influence the risk and prognosis of colorectal cancer differently. Therefore, we conducted a systematic review and meta-analysis investigating the risk of developing colorectal cancer and prognosis of colorectal cancer among individuals using antihypertensive drugs.

Materials and Methods

Data Sources and Search Strategy

The established criteria followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Moher et al., 2009). The PRISMA 2009 checklist was shown in Supplementary Table S1. Utilized electronic databases included PubMed, Web of Science, Embase, Cochrane Library. Two authors independently searched for observational data on colorectal cancer from studies published up to April 17, 2020 without any restriction regarding geographical parameters, publication type or language. The search strategy and terms were based on a combination of MeSH terms, keywords, and substance names which were listed in the Supplementary Table S2. In addition, all reference lists of relevant meta-analysis articles and relevant reviews were analyzed to identify additional articles.

Inclusion and Exclusion Criteria

After excluding duplicate citations, two reviewers independently scanned titles and abstracts to identify initial studies and excluded those which were unrelated. Afterward, full texts of the remaining studies were reviewed for further evaluation. If the two reviewers didn’t agree about inclusion/exclusion of a publication, it was resolved by the adjudicating senior authors (Zhijun Dai), with consensus achieved by discussion.

All studies included fulfilled the following inclusion criteria: (a) studies which were observational study, such as a cohort or case-control design; (b) for risk, patients must not suffer from cancer before using antihypertensive drugs; for prognosis, patients must be diagnosed with colorectal cancer; (c) studies which evaluated the effect of antihypertensive drugs in colorectal cancer risk or prognosis; (d) studies which compared antihypertensive drugs users with not having received any prescription of antihypertensive drugs during the study period; (e) studies which described survival outcomes such as OS, recurrence-free survival (RFS), cancer-specific survival (CSS), progression-free survival (PFS), disease-free survival (DFS); (f) studies that reported effect value such as HR, RR, odds ratio (OR) with their 95% confidence intervals (CIs); (g) the exposure of antihypertensive drugs were clearly defined within the study.

We excluded articles for the following reasons: (a) articles which were meta-analysis, reviews, case reports, experimental laboratory articles, abstracts, animal studies, commentaries, letters; (b) articles which used antihypertensive or other drugs as references.

For studies using the same populations, we included the latest or the longest follow-up study. Two reviewers checked the data of the included studies to prevent duplication.

Data Extraction

Two reviewers extracted the following information independently: the first author’s name, the geographical location, publication year and population gender, the exposure time and follow-up period, number and characteristics of populations, number of cancer case, number of deaths, cancer sites, study design, types of antihypertensive drugs used, outcome indicator, and effect values with their respective 95% CIs.

Quality Assessment

Under the guidance of Newcastle-Ottawa Quality Assessment Scale (NOS), the quality of each article was assessed by two reviewers independently. Any disagreements were discussed by the group members until an agreement was reached. As Supplementary Table S3 shown, NOS scores of studies included in this meta-analysis varied from six to eight points and 7–8 scores were considered indicative of high quality.

Statistical Analysis

Risk estimates with their respective 95% CIs were calculated by using random effect models to estimate the risk and prognosis of colorectal cancer for patients who used antihypertensive drugs, compared with those who did not. The Cochran’s Q test and I2 statistic were performed to assess heterogeneity, whereby p values <0.1 or I2 values >50% represents significant heterogeneity. Subgroup analyses was conducted through stratifying data by geographical locations, cancer sites, study design types, publish date, and NOS score, to elucidate potential sources of heterogeneity. We investigated the publication bias by funnel plots and Egger’s test (Begg and Mazumdar, 1994; Egger et al., 1997). If p values was greater than 0.05 in the Egger’s test or it was symmetry in the funnel plot, the publication bias was acceptable. In this study, we conducted sensitivity analysis to assess the effect of each study on the meta-analysis model. All statistical tests were two-sided, and the significance level was 0.05. In addition, all data were analyzed using Stata 12.0 software (Markummitchell, Torrance, CA, United States).

Results

The Characteristics of Included Study

While 953 articles were initially identified through online searches, 549 articles were retained for analysis after duplicates were removed. Although we searched the above databases without any language restriction, all studies included were published in English. Studies were retrieved by filtering titles and abstracts, and 39 studies were excluded after full text review, and reasons why studies were excluded were listed in Supplementary Table S4. Ultimately, we included 37 studies for our meta-analysis, including 20 publications concerning cancer risk (Pahor et al., 1996; Michels et al., 1998; Rosenberg et al., 1998; Tenenbaum et al., 2001; Beiderbeck-Noll et al., 2003; Boudreau et al., 2008; van der Knaap et al., 2008; Friedman et al., 2011; Hallas et al., 2012; Jansen et al., 2012; Wang et al., 2012; Mansouri et al., 2013; Makar et al., 2014; Chang et al., 2015; Lin et al., 2015; Numbere et al., 2015; Grimaldi-Bensouda et al., 2016; Dierssen-Sotos et al., 2017; Cheung et al., 2020; Brasky et al., 2021), 17 regarding cancer prognosis (Sorensen et al., 2000; Hicks et al., 2013; Holmes et al., 2013; Cardwell et al., 2014; Jansen et al., 2014; Giampieri et al., 2015; Osumi et al., 2015; Morris et al., 2016; Jansen et al., 2017; Weberpals et al., 2017; Sud et al., 2018; Bowles et al., 2019; Cui et al., 2019; Fiala et al., 2019; Mafiana et al., 2019; Ozawa et al., 2019; Ahl et al., 2020). Of these 37 studies, 26 studies used cohort design, three studies used nested case-control design, and 8 studies used case-control design. Our study selection process is illustrated in a flow chart (Figure 1). The total number of participants included in this analysis was 1,117,991, ranging from 107 to 208,635 participants per study. Data was extracted from 13 countries from three continents including North America (n = 11 studies), Asia (n = 8 studies), and Europe (n = 18 studies). Apart from 3 studies (Boudreau et al., 2008; Numbere et al., 2015; Dierssen-Sotos et al., 2017) that did not specify the follow-up time, the follow-up time of the other 34 articles were more than 1 year. Key characteristics of studies included in the meta-analysis are summarized in Table 1.

FIGURE 1
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FIGURE 1. Flow chart of the study procedure.

TABLE 1
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TABLE 1. The characteristics of studies among the association between antihypertensive drugs use and risk or prognosis of colorectal cancer.

Antihypertensive Drugs and Risk of Colorectal Cancer

As shown in Figure 2, all antihypertensive drugs were not associated with colorectal cancer risk (RR = 1.00; 95% CI: 0.95–1.04).

FIGURE 2
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FIGURE 2. Forest plot of studies among the risk of colorectal cancer with all antihypertensive drugs.

There were 11 studies evaluated the link between the risk of colorectal cancer and BB, including two nested case-control studies, two cohort studies and seven case-control studies. As illustrated in Figure 3, no association was shown between BB and the risk of colorectal cancer (RR = 1.03; 95% CI: 0.96–1.10). And the results were robust when the subgroup analysis was stratified by cancer sites or geographical districts. However, the usage of BB significantly increased the risk of colorectal cancer in seven case-control studies (RR = 1.08; 95% CI: 1.03–1.14) and in the high-quality study with NOS score of 8 (RR = 1.13; 95% CI: 1.09–1.18), but not in two cohort studies (RR = 0.80; 95% CI: 0.57–1.11) and two nest-cohort studies (RR = 0.96; 95% CI: 0.76–1.20) (Table 2). In the Supplementary Figure S1, the association between colorectal cancer risk and duration of BB exposure was represented by forest plot. Only one study reported that the risk of colon cancer decreased markedly when the patients used BB for longer than 1,000 days (Chang et al., 2015).

FIGURE 3
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FIGURE 3. Forest plot of studies among the risk of colorectal cancer with beta-blockers.

TABLE 2
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TABLE 2. The association between antihypertensive drugs use and risk of colorectal cancer.

In total, 12 studies including 399,301 participants were analyzed for the link between CCB use and colorectal cancer risk. After pooled analysis, no significant association was observed between CCB and risk of colorectal cancer (RR = 1.01; 95% CI: 0.92–1.10, Figure 4). Meta-analysis of four case-control studies revealed that the pooled RR was 1.10 (95% CI: 1.06–1.15, I2 =0.0%), while it was 0.90 (95% CI: 0.82–0.99) for six cohort studies. As for different cancer sites, geographical districts subgroup, publish date and NOS score, no significant association was observed (Table 2). The detailed duration exposure data to CCB and the risk of colorectal cancer were shown in Supplementary Figure S2.

FIGURE 4
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FIGURE 4. Forest plot of studies among the risk of colorectal cancer with calcium-channel blockers.

Fourteen studies indicated that the usage of ACEI/ARB was not significantly associated with risk of colorectal cancer (RR = 0.94; 95% CI: 0.84–1.07, Figure 5). In subgroup analysis, these results were robust, and were consistent irrespective of study design type, cancer site, publish date or NOS score. However, two cohort study from Asian population found that used ACEI/ARB was related with reduced risk of colorectal cancer (RR = 0.73; 95% CI: 0.63–0.84), but there was no significant association in Europe and North America. In addition, the pooled RR was 0.97 (95% CI: 0.75–1.25) for ACEI users, and 0.92 (95% CI: 0.67–1.27) for ARB users. The detailed duration exposure data to ACEI/ARB and the risk of colorectal cancer were shown in Supplementary Figure S3.

FIGURE 5
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FIGURE 5. Forest plot of studies among the risk of colorectal cancer with angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers.

Four studies reported the association between the risk of colorectal cancer and usage of diuretics, and pooled analysis showed a RR value of 1.04 (95% CI: 0.86–1.27, Figure 6). Due to the limited number of studies included, further analysis could not be conducted. The detailed duration exposure data to diuretics and the risk of colorectal cancer were shown in Supplementary Figure S4.

FIGURE 6
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FIGURE 6. Forest plot of studies among the risk of colorectal cancer with diuretics.

Antihypertensive Drugs and Overall Survival of Colorectal Cancer

As shown in Figure 7, 27 articles focused on association between the usage of antihypertensive drugs and OS of patients with colorectal cancer. Totally, antihypertensive drugs use was not associated with improved OS of patients with colorectal cancer (HR = 0.93; 95% CI: 0.84–1.02). As for the subtype of antihypertensive drugs, usage of diuretics was significantly associated with a worse OS of colorectal cancer patients (HR = 1.27; 95% CI: 1.14–1.40). However, similar effect was not observed in those who used ACEI/ARB, BB or CCB (ACEI/ARB: HR = 0.90, 95% CI: 0.81–1.01; BB: HR = 0.90, 95% CI: 0.93–1.10; CCB: HR = 0.99, 95% CI 0.90–1.09; respectively).

FIGURE 7
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FIGURE 7. Forest plot of studies among the OS of colorectal cancer patients with antihypertensive drugs.

Antihypertensive Drugs and Progression Free Survival of Colorectal Cancer

The pooled estimates of 15 studies which included 3,072 participants, demonstrated that the usage of antihypertensive drugs was related to longer PFS of colorectal cancer patients (HR = 0.85; 95% CI: 0.76–0.94, Figure 8). In the subgroup analysis, ACEI/ARB users were associated with a better PFS compared with non-users (HR = 0.83; 95% CI: 0.72–0.95), but not for BB and CCB users.

FIGURE 8
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FIGURE 8. Forest plot of studies among the PFS of colorectal cancer patients with antihypertensive drugs.

Publication Bias

We performed the Begg’s funnel plot and Egger’s test to investigate publication bias (Supplementary Figures S5, S6). No apparent indication of publication bias between colorectal cancer risk and BB/CCB/diuretics users, except for ACEI/ARB users (Egger’s: p = 0.018; Begg’s tests: p = 0.827). For prognosis of colorectal cancer patients, both Egger’s (OS: p = 0.159, PFS: p = 0.657) and Begg’s tests (OS: p = 0.243, PFS: p = 0.499) showed no significant publication bias.

Sensitivity Analysis

Each study was individually eliminated to access the effect of individual studies on the results (Supplementary Figures S7, S8). In the analysis of colorectal cancer risk with CCB users, the pooled RR was statistically significant after deletion of one article (RR = 1.07; 95% CI: 1.03–1.12) (Grimaldi-Bensouda et al., 2016). However, the other results were not influenced significantly when we removed each article.

Discussion

This meta-analysis included 37 observational studies involving a large number of participants to quantify the association between usage of antihypertensive drugs and risk as well as prognosis of colorectal cancer. Overall, the usage of antihypertensive drugs was not associated with the risk or OS of colorectal cancer, which is accordant with previous published researches. In 2011, a network analysis rejected the hypothesis that the usage of antihypertensive agents was linked with a relative increase in the occurrence of cancer or cancer-specific death (Bangalore et al., 2011). After that, Ioannidis and colleagues conducted an umbrella review of 74 meta-analysis studies and stated that no medication was proven to increase the risk of cancer (Ioannidis et al., 2014).

Interestingly, our further analysis identified that antihypertensive drugs might improve PFS of colorectal cancer patients, especially for ACEI/ARB users, which is similar to the recent published meta-analysis, which suggested that ACEI/ARB improved OS of colorectal cancer patients (Zhou et al., 2020). Actually, in our pooled analysis with more included studies, the usage of ACEI/ARB was not associated with risk and OS of colorectal cancer, which is consistent with the study of Sipahi et al., which concluded that the usage of ACEI did not affect the risk or survival of patients with cancer through a meta-analysis of 10 RCTs and 59,004 patients (Sipahi et al., 2010). Previous studies indicated that ACEI/ARB affected cancer prognosis by suppressing cancer proliferation and angiogenesis, and promoting cell apoptosis (Ager et al., 2008; George et al., 2010). A review summarized ACEI/ARB presented a potential effect in colorectal cancer by inhibiting vascular endothelial growth factor and insulin-like growth factor 1, and the usage of ACEI suppressed the development and metastasis of colorectal cancer (Asgharzadeh et al., 2018). In addition, a potential indirect antitumor mechanism of ACEI/ARB was found to enhance the delivery of antitumor drugs into tumor tissues (Maeda et al., 2013). Consistent with our results, McMenamin and colleagues conducted a systematic review and proposed that ACEI or ARB use might improve outcome of colorectal cancer patients (Mc Menamin Ú et al., 2012). Besides, usage of ACEI/ARB significantly increased the rate of pathological complete regression after neoadjuvant treatment in rectal cancer (Morris et al., 2016). Therefore, the ACEI/ARB use for colorectal cancer patients with hypertension might be suggested.

Heterogeneity, though unavoidable, cannot be ignored. In all meta-analysis, the cause of the heterogeneity should be searched for and analyzed. After conducting subgroup analyses by geographical locations, cancer sites, study design, publish date, and NOS score, the heterogeneity was reduced significantly. First, given that most colorectal cancer and hypertensive populations are old people, age is an essential risk factor for colorectal cancer. One study observed a statistically significant protective effect for ACEI users from colorectal cancer, which was restricted to the under 65 years old group (Dierssen-Sotos et al., 2017). In our meta-analysis, the average age of the population in most studies was over 65 and analysis in each study was adjusted on the basis of age, only few studies did not indicate the age distribution or include all people over 18 years old. Therefore, few different distribution of age might cause some heterogeneity. Second, subgroup analyses suggested that different research design can partially explain heterogeneity across the study. For example, the heterogeneity was reduced obviously after subgroup analyses by research design was conducted. In the subgroup of case-control study, the use of CCB was associated with an increased risk of colorectal cancer. However, in the subgroup of cohort study, CCB might play an anti-cancer effect. These two opposite conclusions indicated that the association between CCB use and the risk of colorectal cancer were still controversial, and more research was needed to verify the true connection between them. Third, ethnic variation may explain bias and heterogeneity. According to the Taiwan National Health Insurance and the Hong Kong Hospital Authority research database, two cohort studies found that usage of ACEI/ARB was related with a decrease in the colorectal cancer risk. However, there were not positive association for the included studies from North American and Europe. Several studies also provided evidence that ethnic variation influenced the efficacy of antihypertensive drugs (Gupta et al., 2010; Ogedegbe et al., 2015). In fact, the major of included studies in our analysis were conducted in Europe and North America. To an extent, these cohort studies may provide accurate and consistent baseline data due to their similar geographical conditions. Further large well-conducted prospective studies from Asia are required to confirm our results. In the end, given the very heterogenous nature of studies included (in terms of study years, exposure assessment from different databases, outcomes and covariates assessment and analytical strategies from different studies), may partly account for heterogeneity in our study. Furthermore, we conducted subgroup analyses stratifying on NOS scores, and the heterogeneity was decreased significantly.

Antihypertensive drugs might promote or interfere with tumor cell proliferation, migration and apoptosis, as well as angiogenesis (Grossman et al., 2001; Greene and Amaral, 2002; Kanehira et al., 2005; Tang et al., 2013; Granados et al., 2020). CCB was found to inhibit the spreading of neoplastic cells by regulating cell proliferation and calcium influx (Grossman et al., 2001). Additionally, it could enhance the anti-tumor effects of chemotherapy drugs, and participate in the regulation of cell differentiation, death, and susceptibility to MAPK inhibitors in vitro and in vivo (Granados et al., 2020) The expression of beta-adrenergic receptors were at high level in a large number of cancer cells, which could be activated and promote the process of tumor progression, including anti-apoptosis, proliferation, angiogenesis, invasion, and metastasis (Tang et al., 2013). ACEI/ARB has been proven to inhibit angiogenesis, tumor proliferation and metastasis (Greene and Amaral, 2002; George et al., 2010). However, some animal experiments supported that ACEI/ARB promoted tumor growth by increasing the expression of vascular endothelial growth factor (VEGF), reducing the level of platelet reactive protein 1 in the tissue and transforming growth factor-beta-dependent cell growth (Kanehira et al., 2005; Clere et al., 2010). Currently, the mechanism underlying the possible causal links between antihypertensive drugs and cancer risk are controversial and needs further investigation.

Our investigation was limited by several factors. Firstly, despite using the random effect model, our results should be treated with caution due to significant heterogeneity and limited data. Though most studies we included had adjusted for confounding factors, such as age, BMI, sex, race, outcome value, social background et al., the heterogeneity still exist. Secondly, potential deviations, such as recall deviations, detection deviations, selection deviation and confounding factors, have to be considered in observational studies. Thirdly, mild publication bias was detected when analyzing studies of risk. In addition, our sensitivity analysis showed that the association between colorectal cancer risk and CCB was unstable and controversial. Finally, due to the lack of relevant data, we cannot conduct a dose-response association between duration of antihypertensive drugs exposure and the development of colorectal cancer. It should be noted that all studies included in this analysis included participants who were middle-aged and older, so the results cannot be applied to the general population or children.

In summary, there was no sufficient evidence to prove that antihypertensive drug usage had an impact on the risk and OS of colorectal cancer. Our findings indicated that ARB/ACEI use might improve the PFS of colorectal cancer. More well-designed prospective studies are needed to support our findings.

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 author.

Author Contributions

All authors read, critically reviewed and approved the final manuscript. YD, YX, and MW conducted the database searches, screened titles, abstracts and full-texts for eligibility, PX and BW performed study quality assessments. ZD planed and designed the research; NL, YW, and SY provided methodological support/advice; NL tested the feasibility of the study; SY, YW, LZ, QH, and LL extract data; YD and YX performed the statistical analysis; YD and YX wrote the manuscript.

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.

Acknowledgments

We thank all members of our study team for their wonderful cooperation and the original authors of the included studies for their results.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2021.670657/full#supplementary-material

Abbreviations

ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin II receptor blockers; BB, beta-blockers; CC, case-control; CCB, calcium-channel blockers; CI, confidence interval; HR, hazard ratio; MIX, male and female; NA, not available; NCC, nest case-control; OR, odds ratio; OS, overall survival; PFS, progression-free survival; RR, risk ratio.

References

Ager, E. I., Neo, J., and Christophi, C. (2008). The Renin-Angiotensin System and Malignancy. Carcinogenesis 29 (9), 1675–1684. doi:10.1093/carcin/bgn171

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahl, R., Matthiessen, P., Fang, X., Cao, Y., Sjolin, G., and Lindgren, R. (2020). β-Blockade in Rectal Cancer Surgery: A Simple Measure of Improving Outcomes. Ann. Surg. 271 (1), 140–146. doi:10.1097/SLA.0000000000002970

PubMed Abstract | CrossRef Full Text | Google Scholar

Aromaa, A., Hakama, M., Hakulinen, T., Saxén, E., Teppo, L., and Idä lan-Heikkilä, J. (1976). Breast Cancer and Use of Rauwolfia and Other Antihypertensive Agents in Hypertensive Patients: a Nationwide Case-Control Study in Finland. Int. J. Cancer 18 (6), 727–738. doi:10.1002/ijc.2910180603

CrossRef Full Text | Google Scholar

Asgharzadeh, F., Hassanian, S. M., Ferns, G. A., Khazaei, M., and Hasanzadeh, M. (2018). The Therapeutic Potential of Angiotensin-Converting Enzyme and Angiotensin Receptor Inhibitors in the Treatment of Colorectal Cancer: Rational Strategies and Recent Progress. Curr. Pharm. Des. 24 (39), 4652–4658. doi:10.2174/1381612825666190111145140

PubMed Abstract | CrossRef Full Text | Google Scholar

Bangalore, S., Kumar, S., Kjeldsen, S. E., Makani, H., Grossman, E., Wetterslev, J., et al. (2011). Antihypertensive Drugs and Risk of Cancer: Network Meta-Analyses and Trial Sequential Analyses of 324,168 Participants from Randomised Trials. Lancet Oncol. 12 (1), 65–82. doi:10.1016/s1470-2045(10)70260-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Begg, C. B., and Mazumdar, M. (1994). Operating Characteristics of a Rank Correlation Test for Publication Bias. Biometrics 50 (4), 1088–1101. doi:10.2307/2533446

PubMed Abstract | CrossRef Full Text | Google Scholar

Beiderbeck-Noll, A. B., Sturkenboom, M. C., van der Linden, P. D., Herings, R. M., Hofman, A., Coebergh, J. W., et al. (2003). Verapamil Is Associated with an Increased Risk of Cancer in the Elderly: the Rotterdam Study. Eur. J. Cancer 39 (1), 98–105. doi:10.1016/s0959-8049(02)00157-0

CrossRef Full Text | Google Scholar

Boudreau, D. M., Koehler, E., Rulyak, S. J., Haneuse, S., Harrison, R., and Mandelson, M. T. (2008). Cardiovascular Medication Use and Risk for Colorectal Cancer. Cancer Epidemiol. Biomarkers Prev. 17 (11), 3076–3080. doi:10.1158/1055-9965.Epi-08-0095

PubMed Abstract | CrossRef Full Text | Google Scholar

Bowles, E. J. A., Yu, O., Ziebell, R., Chen, L., Boudreau, D. M., Ritzwoller, D. P., et al. (2019). Cardiovascular Medication Use and Risks of colon Cancer Recurrences and Additional Cancer Events: a Cohort Study. BMC Cancer 19 (1), 270. doi:10.1186/s12885-019-5493-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Brasky, T. M., Flores, K. F., Larson, J. C., Newton, A. M., Shadyab, A. H., Watanabe, J. H., et al. (2021). Associations of Angiotensin-Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use with Colorectal Cancer Risk in the Women's Health Initiative. Cancer Epidemiol. Biomarkers Prev. 30 (5), 1029–1032. doi:10.1158/1055-9965.EPI-20-1401

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardwell, C. R., Mc Menamin, U. C., Hicks, B. M., Hughes, C., Cantwell, M. M., and Murray, L. J. (2014). Drugs Affecting the Renin-Angiotensin System and Survival from Cancer: a Population Based Study of Breast, Colorectal and Prostate Cancer Patient Cohorts. BMC Med. 12, 28. doi:10.1186/1741-7015-12-28

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, P. Y., Huang, W. Y., Lin, C. L., Huang, T. C., Wu, Y. Y., Chen, J. H., et al. (2015). Propranolol Reduces Cancer Risk: A Population-Based Cohort Study. Medicine (Baltimore) 94 (27), e1097. doi:10.1097/md.0000000000001097

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheung, K. S., Chan, E. W., Seto, W. K., Wong, I. C. K., and Leung, W. K. (2020). ACE (Angiotensin-Converting Enzyme) Inhibitors/Angiotensin Receptor Blockers Are Associated with Lower Colorectal Cancer Risk: A Territory-wide Study with Propensity Score Analysis. Hypertension 76 (3), 968–975. doi:10.1161/HYPERTENSIONAHA.120.15317

PubMed Abstract | CrossRef Full Text | Google Scholar

Clere, N., Corre, I., Faure, S., Guihot, A. L., Vessières, E., Chalopin, M., et al. (2010). Deficiency or Blockade of Angiotensin II Type 2 Receptor Delays Tumorigenesis by Inhibiting Malignant Cell Proliferation and Angiogenesis. Int. J. Cancer 127 (10), 2279–2291. doi:10.1002/ijc.25234

CrossRef Full Text | Google Scholar

Cui, Y., Wen, W., Zheng, T., Li, H., Gao, Y. T., Cai, H., et al. (2019). Use of Antihypertensive Medications and Survival Rates for Breast, Colorectal, Lung, or Stomach Cancer. Am. J. Epidemiol. 188 (8), 1512–1528. doi:10.1093/aje/kwz106

PubMed Abstract | CrossRef Full Text | Google Scholar

Dekker, E., Tanis, P. J., Vleugels, J. L. A., Kasi, P. M., and Wallace, M. B. (2019). Colorectal Cancer. The Lancet 394 (10207), 1467–1480. doi:10.1016/s0140-6736(19)32319-0

CrossRef Full Text | Google Scholar

Deng, Y., Wei, B., Zhai, Z., Zheng, Y., Yao, J., Wang, S., et al. (2021). Dietary Risk-Related Colorectal Cancer Burden: Estimates from 1990 to 2019. Front. Nutr. 8, 690663. doi:10.3389/fnut.2021.690663

PubMed Abstract | CrossRef Full Text | Google Scholar

Dierssen-Sotos, T., Gomez-Acebo, I., Palazuelos, C., Rodriguez-Moranta, F., Perez-Gomez, B., Fernandez Vazquez, J. P., et al. (2017). Relationship between Drugs Affecting the Renin-Angiotensin System and Colorectal Cancer: The MCC-Spain Study. Prev. Med. 99, 178–184. doi:10.1016/j.ypmed.2017.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Egger, M., Davey Smith, G., Schneider, M., and Minder, C. (1997). Bias in Meta-Analysis Detected by a Simple, Graphical Test. Bmj 315 (7109), 629–634. doi:10.1136/bmj.315.7109.629

PubMed Abstract | CrossRef Full Text | Google Scholar

Ettehad, D., Emdin, C. A., Kiran, A., Anderson, S. G., Callender, T., Emberson, J., et al. (2016). Blood Pressure Lowering for Prevention of Cardiovascular Disease and Death: a Systematic Review and Meta-Analysis. Lancet 387 (10022), 957–967. doi:10.1016/s0140-6736(15)01225-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Fiala, O., Ostasov, P., Sorejs, O., Liska, V., Buchler, T., Poprach, A., et al. (2019). Incidental Use of Beta-Blockers Is Associated with Outcome of Metastatic Colorectal Cancer Patients Treated with Bevacizumab-Based Therapy: A Single-Institution Retrospective Analysis of 514 Patients. Cancers (Basel) 11 (12), 1856. doi:10.3390/cancers11121856

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedman, G. D., Udaltsova, N., and Habel, L. A. (2011). Norepinephrine Antagonists and Cancer Risk. Int. J. Cancer 128 (3), 737–738. doi:10.1002/ijc.25351

CrossRef Full Text | Google Scholar

George, A. J., Thomas, W. G., and Hannan, R. D. (2010). The Renin-Angiotensin System and Cancer: Old Dog, New Tricks. Nat. Rev. Cancer 10 (11), 745–759. doi:10.1038/nrc2945

PubMed Abstract | CrossRef Full Text | Google Scholar

Giampieri, R., Scartozzi, M., Del Prete, M., Faloppi, L., Bianconi, M., Ridolfi, F., et al. (2015). Prognostic Value for Incidental Antihypertensive Therapy with Beta-Blockers in Metastatic Colorectal Cancer. Medicine (Baltimore) 94 (24), e719. doi:10.1097/MD.0000000000000719

PubMed Abstract | CrossRef Full Text | Google Scholar

Granados, K., Hüser, L., Federico, A., Sachindra, S., Wolff, G., Hielscher, T., et al. (2020). T-type Calcium Channel Inhibition Restores Sensitivity to MAPK Inhibitors in De-differentiated and Adaptive Melanoma Cells. Br. J. Cancer 122 (7), 1023–1036. doi:10.1038/s41416-020-0751-8

CrossRef Full Text | Google Scholar

Greene, A. S., and Amaral, S. L. (2002). Microvascular Angiogenesis and the Renin-Angiotensin System. Curr. Hypertens. Rep. 4 (1), 56–62. doi:10.1007/s11906-002-0054-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Grimaldi-Bensouda, L., Klungel, O., Kurz, X., de Groot, M. C., Maciel Afonso, A. S., de Bruin, M. L., et al. (2016). Calcium Channel Blockers and Cancer: a Risk Analysis Using the UK Clinical Practice Research Datalink (CPRD). BMJ Open 6 (1), e009147. doi:10.1136/bmjopen-2015-009147

PubMed Abstract | CrossRef Full Text | Google Scholar

Grossman, E., Messerli, F. H., and Goldbourt, U. (2001). Antihypertensive Therapy and the Risk of Malignancies. Eur. Heart J. 22 (15), 1343–1352. doi:10.1053/euhj.2001.2729

PubMed Abstract | CrossRef Full Text | Google Scholar

Gupta, A. K., Poulter, N. R., Dobson, J., Eldridge, S., Cappuccio, F. P., Caulfield, M., et al. (2010). Ethnic Differences in Blood Pressure Response to First and Second-Line Antihypertensive Therapies in Patients Randomized in the ASCOT Trial. Am. J. Hypertens. 23 (9), 1023–1030. doi:10.1038/ajh.2010.105

CrossRef Full Text | Google Scholar

Hallas, J., Christensen, R., Andersen, M., Friis, S., and Bjerrum, L. (2012). Long Term Use of Drugs Affecting the Renin-Angiotensin System and the Risk of Cancer: a Population-Based Case-Control Study. Br. J. Clin. Pharmacol. 74 (1), 180–188. doi:10.1111/j.1365-2125.2012.04170.x

CrossRef Full Text | Google Scholar

Hicks, B. M., Murray, L. J., Powe, D. G., Hughes, C. M., and Cardwell, C. R. (2013). β-Blocker Usage and Colorectal Cancer Mortality: A Nested Case-Control Study in the UK Clinical Practice Research Datalink Cohort. Ann. Oncol. 24 (12), 3100–3106. doi:10.1093/annonc/mdt381

PubMed Abstract | CrossRef Full Text | Google Scholar

Holmes, S., Griffith, E. J., Musto, G., and Minuk, G. Y. (2013). Antihypertensive Medications and Survival in Patients with Cancer: A Population-Based Retrospective Cohort Study. Cancer Epidemiol. 37 (6), 881–885. doi:10.1016/j.canep.2013.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Ioannidis, J. P., Zhou, Y., Chang, C. Q., Schully, S. D., Khoury, M. J., and Freedman, A. N. (2014). Potential Increased Risk of Cancer from Commonly Used Medications: an Umbrella Review of Meta-Analyses. Ann. Oncol. 25 (1), 16–23. doi:10.1093/annonc/mdt372

PubMed Abstract | CrossRef Full Text | Google Scholar

Jansen, L., Below, J., Chang-Claude, J., Brenner, H., and Hoffmeister, M. (2012). Beta Blocker Use and Colorectal Cancer Risk: Population-Based Case-Control Study. Cancer 118 (16), 3911–3919. doi:10.1002/cncr.26727

PubMed Abstract | CrossRef Full Text | Google Scholar

Jansen, L., Hoffmeister, M., Arndt, V., Chang-Claude, J., and Brenner, H. (2014). Stage-specific Associations between Beta Blocker Use and Prognosis after Colorectal Cancer. Cancer 120 (8), 1178–1186. doi:10.1002/cncr.28546

PubMed Abstract | CrossRef Full Text | Google Scholar

Jansen, L., Weberpals, J., Kuiper, J. G., Vissers, P. A. J., Wolkewitz, M., Hoffmeister, M., et al. (2017). Pre- and post-diagnostic Beta-Blocker Use and Prognosis after Colorectal Cancer: Results from a Population-Based Study. Int. J. Cancer 141 (1), 62–71. doi:10.1002/ijc.30717

CrossRef Full Text | Google Scholar

Kanehira, T., Tani, T., Takagi, T., Nakano, Y., Howard, E. F., and Tamura, M. (2005). Angiotensin II Type 2 Receptor Gene Deficiency Attenuates Susceptibility to Tobacco-specific Nitrosamine-Induced Lung Tumorigenesis: Involvement of Transforming Growth Factor-beta-dependent Cell Growth Attenuation. Cancer Res. 65 (17), 7660–7665. doi:10.1158/0008-5472.Can-05-0275

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, C. S., Lin, W. S., Lin, C. L., and Kao, C. H. (2015). Carvedilol Use Is Associated with Reduced Cancer Risk: A Nationwide Population-Based Cohort Study. Int. J. Cardiol. 184, 9–13. doi:10.1016/j.ijcard.2015.02.015

CrossRef Full Text | Google Scholar

Maeda, H., Nakamura, H., and Fang, J. (2013). The EPR Effect for Macromolecular Drug Delivery to Solid Tumors: Improvement of Tumor Uptake, Lowering of Systemic Toxicity, and Distinct Tumor Imaging In Vivo. Adv. Drug Deliv. Rev. 65 (1), 71–79. doi:10.1016/j.addr.2012.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Mafiana, R. N., Al-Kindi, M. S., Mafiana, N., Al Lawati, A. S., and Al Moundhri, M. (2019). Impact of Metabolic Syndrome Diagnosis and its Treatment on Survival of Colorectal Cancer Patients. J. Cancer Epidemiol. 2019, 6527457. doi:10.1155/2019/6527457

PubMed Abstract | CrossRef Full Text | Google Scholar

Makar, G. A., Holmes, J. H., and Yang, Y. X. (2014). Angiotensin-converting Enzyme Inhibitor Therapy and Colorectal Cancer Risk. J. Natl. Cancer Inst. 106 (2), djt374. doi:10.1093/jnci/djt374

CrossRef Full Text | Google Scholar

Mansouri, D., McMillan, D. C., Roxburgh, C. S., Crighton, E. M., and Horgan, P. G. (2013). The Impact of Aspirin, Statins and ACE-Inhibitors on the Presentation of Colorectal Neoplasia in a Colorectal Cancer Screening Programme. Br. J. Cancer 109 (1), 249–256. doi:10.1038/bjc.2013.292

CrossRef Full Text | Google Scholar

Mc Menamin Ú, C., Murray, L. J., Cantwell, M. M., and Hughes, C. M. (2012). Angiotensin-converting Enzyme Inhibitors and Angiotensin Receptor Blockers in Cancer Progression and Survival: a Systematic Review. Cancer Causes Control 23 (2), 221–230. doi:10.1007/s10552-011-9881-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Merai, R., Siegel, C., Rakotz, M., Basch, P., Wright, J., Wong, B., et al. (2016). CDC Grand Rounds: A Public Health Approach to Detect and Control Hypertension. MMWR Morb Mortal Wkly Rep. 65 (45), 1261–1264. doi:10.15585/mmwr.mm6545a3

PubMed Abstract | CrossRef Full Text | Google Scholar

Michels, K. B., Rosner, B. A., Walker, A. M., Stampfer, M. J., Manson, J. E., Colditz, G. A., et al. (1998). Calcium Channel Blockers, Cancer Incidence, and Cancer Mortality in a Cohort of U.S. Women: the Nurses' Health Study. Cancer 83 (9), 2003–2007. doi:10.1002/(sici)1097-0142(19981101)83:9<2003:aid-cncr17>3.0.co;2-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Moher, D., Liberati, A., Tetzlaff, J., and Altman, D. G. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement. Plos Med. 6 (7), e1000097. doi:10.1136/bmj.b2535

PubMed Abstract | CrossRef Full Text | Google Scholar

Morris, Z. S., Saha, S., Magnuson, W. J., Morris, B. A., Borkenhagen, J. F., Ching, A., et al. (2016). Increased Tumor Response to Neoadjuvant Therapy Among Rectal Cancer Patients Taking Angiotensin-Converting Enzyme Inhibitors or Angiotensin Receptor Blockers. Cancer 122 (16), 2487–2495. doi:10.1002/cncr.30079

PubMed Abstract | CrossRef Full Text | Google Scholar

Numbere, B., Fleming, K. M., Walker, A., and Card, T. R. (2015). Adrenergic Blockers and the Risk for Common Solid Cancers: a Case-Control Study. Eur. J. Cancer Prev. 26 (1), 86–93. doi:10.1097/cej.0000000000000218

CrossRef Full Text | Google Scholar

Ogedegbe, G., Shah, N. R., Phillips, C., Goldfeld, K., Roy, J., Guo, Y., et al. (2015). Comparative Effectiveness of Angiotensin-Converting Enzyme Inhibitor-Based Treatment on Cardiovascular Outcomes in Hypertensive Blacks versus Whites. J. Am. Coll. Cardiol. 66 (11), 1224–1233. doi:10.1016/j.jacc.2015.07.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Osumi, H., Matsusaka, S., Wakatsuki, T., Suenaga, M., Shinozaki, E., and Mizunuma, N. (2015). Angiotensin II Type-1 Receptor Blockers Enhance the Effects of Bevacizumab-Based Chemotherapy in Metastatic Colorectal Cancer Patients. Mol. Clin. Oncol. 3 (6), 1295–1300. doi:10.3892/mco.2015.630

PubMed Abstract | CrossRef Full Text | Google Scholar

Ozawa, T., Hashiguchi, Y., Yagi, T., Fukushima, Y., Shimada, R., Hayama, T., et al. (2019). Angiotensin I-Converting Enzyme Inhibitors/angiotensin II Receptor Blockers May Reduce Tumor Recurrence in Left-Sided and Early Colorectal Cancers. Int. J. Colorectal Dis. 34 (10), 1731–1739. doi:10.1007/s00384-019-03379-y

CrossRef Full Text | Google Scholar

Pahor, M., Guralnik, J. M., Ferrucci, L., Corti, M. C., Salive, M. E., Cerhan, J. R., et al. (1996). Calcium-channel Blockade and Incidence of Cancer in Aged Populations. The Lancet 348 (9026), 493–497. doi:10.1016/s0140-6736(96)04277-8

CrossRef Full Text | Google Scholar

Rosenberg, L., Rao, R. S., Palmer, J. R., Strom, B. L., Stolley, P. D., Zauber, A. G., et al. (1998). Calcium Channel Blockers and the Risk of Cancer. J. Am. Med. Assoc. 279 (13), 1000–1004. doi:10.1001/jama.279.13.1000

CrossRef Full Text | Google Scholar

Sipahi, I., Debanne, S. M., Rowland, D. Y., Simon, D. I., and Fang, J. C. (2010). Angiotensin-receptor Blockade and Risk of Cancer: Meta-Analysis of Randomised Controlled Trials. Lancet Oncol. 11 (7), 627–636. doi:10.1016/s1470-2045(10)70106-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Sorensen, H. T., Olsen, J. H., Mellemkjaer, L., Thulstrup, A. M., Steffensen, F. H., McLaughlin, J. K., et al. (2000). Cancer Risk and Mortality in Users of Calcium Channel Blockers - A Cohort Study. Cancer 89 (1), 165–170. doi:10.1002/1097-0142(20000701)89:1<165:Aid-cncr21>3.0.Co;2-g

PubMed Abstract | CrossRef Full Text | Google Scholar

Stanford, J. L., Martin, E. J., Brinton, L. A., and Hoover, R. N. (1986). Rauwolfia Use and Breast Cancer: a Case-Control Study. J. Natl. Cancer Inst. 76 (5), 817–822.

Google Scholar

Sud, S., O'Callaghan, C., Jonker, C., Karapetis, C., Price, T., Tebbutt, N., et al. (2018). Hypertension as a Predictor of Advanced Colorectal Cancer Outcome and Cetuximab Treatment Response. Curr. Oncol. 25 (6), e516–e526. doi:10.3747/co.25.4069

PubMed Abstract | CrossRef Full Text | Google Scholar

Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., et al. (2021). Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 71 (3), 209–249. doi:10.3322/caac.21660

CrossRef Full Text | Google Scholar

Tang, J., Li, Z., Lu, L., and Cho, C. H. (2013). β-Adrenergic System, a Backstage Manipulator Regulating Tumour Progression and Drug Target in Cancer Therapy. Semin. Cancer Biol. 23 (6 Pt B), 533–542. doi:10.1016/j.semcancer.2013.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Tenenbaum, A., Grossman, E., Fisman, E. Z., Adler, Y., Boyko, V., Jonas, M., et al. (2001). Long-term Diuretic Therapy in Patients with Coronary Disease: Increased colon Cancer-Related Mortality over a 5-year Follow-Up. J. Hum. Hypertens. 15 (6), 373–379. doi:10.1038/sj.jhh.1001192

CrossRef Full Text | Google Scholar

Thomopoulos, C., Parati, G., and Zanchetti, A. (2015). Effects of Blood Pressure Lowering on Outcome Incidence in Hypertension: 4. Effects of Various Classes of Antihypertensive Drugs-Ooverview and Meta-Analyses. J. Hypertens. 33 (2), 195–211. doi:10.1097/hjh.0000000000000447

CrossRef Full Text | Google Scholar

van der Knaap, R., Siemes, C., Coebergh, J.-W. W., van Duijn, C. M., Hofman, A., and Stricker, B. H. C. (2008). Renin-anglotensin System Inhibitors, Angiotensin I-Converting Enzyme Gene Insertion/deletion Polymorphism, and Cancer. Cancer 112 (4), 748–757. doi:10.1002/cncr.23215

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, K. L., Liu, C. J., Chao, T. F., Huang, C. M., Wu, C. H., Chen, T. J., et al. (2012). Long-term Use of Angiotensin II Receptor Blockers and Risk of Cancer: a Population-Based Cohort Analysis. Int. J. Cardiol. 167 (5), 2162–2166. doi:10.1016/j.ijcard.2012.05.096

CrossRef Full Text | Google Scholar

Weberpals, J., Jansen, L., van Herk-Sukel, M. P. P., Kuiper, J. G., Aarts, M. J., Vissers, P. A. J., et al. (2017). Immortal Time Bias in Pharmacoepidemiological Studies on Cancer Patient Survival: Empirical Illustration for Beta-Blocker Use in Four Cancers with Different Prognosis. Eur. J. Epidemiol. 32 (11), 1019–1031. doi:10.1007/s10654-017-0304-5

CrossRef Full Text | Google Scholar

Zhou, Q., Chen, D. S., Xin, L., Zhou, L. Q., Zhang, H. T., Liu, L., et al. (2020). The Renin-Angiotensin System Blockers and Survival in Digestive System Malignancies: A Systematic Review and Meta-Analysis. Medicine (Baltimore) 99 (7), e19075. doi:10.1097/MD.0000000000019075

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: antihypertensive drugs, colorectal cancer, risk, prognosis, meta-analysis

Citation: Deng Y, Xie Y, Wang M, Xu P, Wei B, Li N, Wu Y, Yang S, Zhou L, Hao Q, Lyu L, Zhang D and Dai Z (2022) Effects of Antihypertensive Drugs Use on Risk and Prognosis of Colorectal Cancer: A Meta-Analysis of 37 Observational Studies. Front. Pharmacol. 12:670657. doi: 10.3389/fphar.2021.670657

Received: 05 March 2021; Accepted: 21 December 2021;
Published: 11 January 2022.

Edited by:

Maen Abdelrahim, Houston Methodist Research Institute, United States

Reviewed by:

Yousef Shahin, the University of Sheffield, United Kingdom
Allegra Battistoni, Sapienza University, Italy

Copyright © 2022 Deng, Xie, Wang, Xu, Wei, Li, Wu, Yang, Zhou, Hao, Lyu, Zhang and Dai. 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: Zhijun Dai, dzj0911@126.com

These authors have contributed equally to this work

Disclaimer: 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.