Skip to main content

Angiotensin blockade therapy and survival in pancreatic cancer: a population study

Abstract

Background

Pancreatic cancer (PC) is one of the most aggressive and challenging cancer types to effectively treat, ranking as the fourth-leading cause of cancer death in the United States. We investigated if exposures to angiotensin II receptor blockers (ARBs) or angiotensin I converting enzyme (ACE) inhibitors after PC diagnosis are associated with survival.

Methods

PC patients were identified by ICD-9 diagnosis and procedure codes among the 3.7 million adults living in the Emilia-Romagna Region from their administrative health care database containing patient data on demographics, hospital discharges, all-cause mortality, and outpatient pharmacy prescriptions. Cox modeling estimated covariate-adjusted mortality hazard ratios for time-dependent ARB and ACE inhibitor exposures after PC diagnosis.

Results

8,158 incident PC patients were identified between 2003 and 2011, among whom 20% had pancreas resection surgery, 36% were diagnosed with metastatic disease, and 7,027 (86%) died by December 2012. Compared to otherwise similar patients, those exposed to ARBs after PC diagnosis experienced 20% lower mortality risk (HR=0.80; 95% CI: 0.72, 0.89). Those exposed to ACE inhibitors during the first three years of survival after PC diagnosis experienced 13% lower mortality risk (HR=0.87; 95% CI: 0.80, 0.94) which attenuated after surviving three years (HR=1.14; 95% CI: 0.90, 1.45).

Conclusions

The results of this large population study suggest that exposures to ARBs and ACE inhibitors after PC diagnosis are significantly associated with improved survival. ARBs and ACE inhibitors could be important considerations for treating PC patients, particularly those with the worst prognosis and most limited treatment options. Considering that these common FDA approved drugs are inexpensive to payers and present minimal increased risk of adverse events to patients, there is an urgent need for randomized clinical trials, large simple randomized trials, or pragmatic clinical trials to formally and broadly evaluate the effects of ARBs and ACE inhibitors on survival in PC patients.

Peer Review reports

Background

Pancreatic cancer (PC) is among the most aggressive forms of cancer with an estimated incidence of 60,430 and causing 48,220 deaths in 2021, ranking it as the fourth-leading cause of cancer death in the United States [1]. Currently, surgical resection remains the only treatment option consistently achieving significantly prolonged survival [2], but due to the characteristically late presentation of the disease, only 10 – 20% of patients are candidates for resection [3]. Despite the significant research devoted to PC and its treatment in those with unresectable disease, there have been only modest improvements in overall survival relative to other common malignancies over the last two decades  [3].

Extensive preclinical data support the potential use of angiotensin II receptor blockers (ARBs) and angiotensin I converting enzyme (ACE) inhibitors, two common classes of medications FDA approved for the management of hypertension [4], as antineoplastic agents in PC. In particular, ARBs have been shown to exert multiple effects on PC cell metabolism and cell cycle machinery [4,5,6,7]. An early retrospective cohort study first introduced the potential association between angiotensin inhibition and lower cancer incidence [8]. Subsequent studies used a variety of study designs and failed to establish a link between these agents and reduced cancer incidence [9, 10]. Following more recent positive preclinical data, multiple studies have also explored the association between angiotensin inhibition and overall survival in different types of cancer. For example, both ARBs and ACE inhibitors were shown to be associated with an increase in median overall survival in patients with non-squamous cell lung cancer and patients with gastric cancer [11, 12]. Similar survival benefits from angiotensin inhibition also appear in PC. One small single-center retrospective study found that ARB or ACE inhibitor use was associated with an increase in median overall survival in patients with advanced PC receiving gemcitabine monotherapy (15.1 months vs. 8.9 months) [13]. Another found that, among patients who survived at least 6 months, ARB prescriptions were associated with 24% lower mortality in PC patients undergoing surgery for pancreas resection [14]. Two small phase II clinical trials have been initiated to investigate if including an ARB (losartan) in the treatment of non-metastatic PC patients might improve success in surgical tumor resection [15, 16]. Some recent findings suggest a possible benefit among locally advanced patients [15].

To our knowledge, there are no large population-based studies evaluating the associations of exposures to ARBs and ACE inhibitors with mortality outcomes in a general population of PC patients. We retrospectively evaluated a large population-based cohort of patients diagnosed with PC to investigate the relationships between overall mortality and exposures to ARBs and ACE inhibitors after PC diagnosis.

Methods

Setting and study data

Italy’s National Health Service provides universal health care coverage to all citizens. The data for this study were drawn from the longitudinal health care database of the approximately 3.7 million adults in the population served by the Regional Health Service System of Emilia-Romagna, a northern Italian region of approximately 4.5 million inhabitants, between January 1, 2002 and December 31, 2011 [17]. The database provided administrative linkable de-identified patient information records on demographics, hospital discharge data (utilizations characterized by ICD-9-CM diagnosis and procedure codes, as well as admission and discharge dates), all-cause mortality (mortality status and date of either death or censoring for moving out of the region or censoring for surviving to the end of follow-up) and outpatient pharmacy data on individual prescriptions (Anatomical Therapeutic Chemical codes identifying which drugs were prescribed). This database has been used extensively for pharmacoepidemiologic research [18,19,20].

Case status, metastasis, and resection identification

Cases were those having hospital discharge records with ICD-9-CM diagnosis codes indicating a primary or secondary diagnosis for malignant neoplasm of the pancreas (i.e., 157.X; see Supplemental Table S1 for details). Lymph node involvement and metastases were indicated by secondary malignancies at other sites (i.e., 196.X, 197.X, 198.X, 199.X; see Supplemental Table S2 for details). Pancreatic resection was indicated by presence of pancreatectomy ICD-9 procedure codes (i.e., 52.XX; see Supplemental Table S3 for details).

Drug exposures, chemotherapy, and radiotherapy

We tracked exposure to ARBs and ACE inhibitors, as well as exposure to drug classes potentially impacting cancer progression or pertinent diseases, including aspirin, alpha blockers, beta blockers, calcium channel blockers, diuretics, non-steroidal anti-inflammatory drugs (NSAIDs), statins, metformin, and other diabetes medications. The outpatient pharmacy records available indicated only what drug was prescribed and the date it was filled. We could not determine what quantity was dispensed or the prescription duration.

Since we were tracking exposure to many drugs and fitting computationally intensive models accounting for the timing of exposures in relation to survival, the drug exposures were tracked by parsing each patient’s survival time into quarter-year periods, going forward from the time of PC diagnosis to the time of death or censoring, as well as backward 1 year, while noting in each quarter what drug classes had been prescribed and filled in the prior quarter. After PC diagnosis, a patient was considered exposed to a given drug class only after the first quarter in which they filled at least one prescription for a drug in that class. That is, exposure initiation was lagged to the beginning of the next quarter and once a patient had incurred exposure to a given drug class following their PC diagnosis, they were considered exposed to that drug class for the remainder of their survival follow-up. To avoid immortal time bias [21], these drug exposure indicator variables were constructed as time-dependent covariates allowed to change from unexposed to exposed for any PC patient. Time dependent covariates were similarly constructed for chemotherapy, radiotherapy, and pancreatic resection treatment status.

Statistical analysis and mortality modeling

The distributions of sample characteristics were summarized by medians with the first and third quartiles if continuous and by frequency counts and percentages if categorical. In addition to time-dependent ARB and ACE inhibitor exposure indicator variables, potential confounders summarized and used in modeling included demographic variables (age, age squared, and sex), a geography variable (indicating if a patient’s residence lies in a plain, in the hills, or in the mountains, which serves as a proxy measure of population density in the region), calendar time at diagnosis (quantified as years from 1/1/2002), chemotherapy, radiotherapy, pancreatic resection, metastasis at diagnosis, limitations to functional status as indicated by home health care or oxygen prescriptions in the year prior to diagnosis and/or discharge to a nursing home, the Elixhauser comorbidity measure [22] for administrative data which sums 30 comorbidity indicators, some of the most prevalent Elixhauser comorbidity indicators in these patients, exposure indicators for each of the other nine drug classes in the year prior to PC diagnosis, and time-dependent exposure indicators for those other nine drug classes after PC diagnosis. Mortality follow-up ended on December 31, 2012. The cause of death was not available.

The counting process style of input was used to construct a Cox proportional hazards all-cause mortality model of the time-dependent ARB and ACE inhibitor drug exposure variables and other time-dependent or time-fixed covariates. We have used this methodology to address a similar question on metformin exposure and survival in patients with head and neck cancers [20] Supplemental Table S4 illustrates the counting process data structure of two hypothetical PC patients showing their diagnosis dates, last follow-up date, quarterly start/stop follow-up time intervals, vital status, quarter index (looking back 5 quarters prior to PC diagnosis and forward until end of follow-up for prescriptions), ARB and ACE inhibitor prescription indicators in each quarter, and lagged time-dependent ARB and ACE exposure variables.

Models were also fitted to evaluate the mortality hazard associated with exposures to ARBs or to ACE inhibitors in subgroups of metastatic patients, pancreas resection patients, non-metastatic and non-resected patients, patients with and without, respectively, ACE inhibitor or ARB exposures in the year prior to PC diagnosis, and patients having at least one comorbidity at PC diagnosis. We detected a departure from the proportional hazards assumption for ACE inhibitors, but not for ARBs (see Supplemental Figure S1). This was addressed in each Cox model by using time-dependent coefficients for ACE inhibitor exposure, allowing its hazard ratio to change during survivorship, while the ARB coefficient was constant over time.

All statistical data analyses were conducted by Scott W. Keith, Ph.D. with SAS version 9.4 (SAS Institute, Cary, NC, USA).

Results

We identified 8,158 PC patients diagnosed between January 2003 and December 2011 and followed them for all-cause mortality through December 2012 (Table 1). Their median age was 74.4 years and approximately half were female (51.1%). Over a third of the patients had metastatic disease at diagnosis and 20% underwent surgery for pancreatic resection. Though 19.3% of the patients had diabetes mellitus coded at diagnosis, comorbidities were not particularly common in this population as more than 75% of the sample had no more than one comorbid condition recorded and more than half had none. In the year prior to diagnosis, 18.0% of the patients were exposed to ARBs, 31.5% to ACE inhibitors, and 53.7% to neither. Over a median follow-up of 6.2 months, a total of 7,027 (86.1%) patients died, with a median survival of 6.4 months (95% CI: 6.1, 6.6). At some point following PC diagnosis, 18.0% and 31.8% were exposed to ARBs and ACE inhibitors, respectively, each for a median of 2 quarters (Supplemental Table S5).

Table 1 Pancreatic cancer patient characteristics (N = 8,158)

Time-dependent ARB and ACE inhibitor exposure indicators predicting reduced mortality

Preliminary assessment of the proportional hazards assumption revealed that the association between mortality hazard and ARBs exposure after PC diagnosis was reasonably constant during survival (Supplemental Figure S1A). However, mortality hazard associated with ACE inhibitors after PC diagnosis changed after approximately 3 years of survival (Supplemental Figure S1B). Based on a Cox model adjusted for potential confounders (Supplemental Table S6), in comparison to otherwise similar patients, those exposed to ARBs after their PC diagnosis experienced 20% lower mortality hazard (Fig. 1; HR = 0.80; 95% CI: 0.72, 0.89) and those exposed to ACE inhibitors during the first three years of survival after PC diagnosis experienced 13% lower mortality hazard (Fig. 2; HR = 0.87; 95% CI: 0.80, 0.94).

Fig. 1
figure 1

Mortality hazard ratios and 95% confidence intervals for ARB exposure after pancreatic cancer diagnosis

However, unlike for ARBs, the reduced mortality risk associated with ACE inhibitors was no longer evident after three years of survival (Fig. 2; HR = 1.14; 95% CI: 0.90, 1.45).

Fig. 2
figure 2

Mortality hazard ratios and 95% confidence intervals for ACE inhibitor exposure after pancreatic cancer diagnosis. This risk relationship depends on how long the patient has lived after diagnosis

Subgroup analyses

The mortality hazards associated with ARBs and ACE inhibitors after diagnosis in particular subgroups of PC patients are also shown in Figs. 1 and 2, respectively. These results stem from independent Cox models – one fitted for each subgroup including those with metastatic disease at diagnosis, pancreas resection, no metastases at diagnosis and no pancreas resection, those with and those without ARB or ACE inhibitor exposure in the year prior to diagnosis, and those with at least one comorbidity. Significant survival benefits were associated with exposure to ARBs after PC diagnosis in each subgroup, except among the subset of non-metastatic non-pancreas resection patients. Exposure to ARBs after PC diagnosis was associated with a 28% reduction in mortality risk among resected patients (HR = 0.72; 95% CI: 0.55, 0.96), a 24% reduction in mortality risk among PC patients with metastatic disease (HR = 0.76; 95% CI: 0.64, 0.90), and a 26% reduction in mortality risk among PC patients with at least one comorbidity (HR = 0.74; 95% CI: 0.64, 0.87). The mortality hazard benefit associated with exposure to ACE inhibitors during the first three years of survival after PC diagnosis appears to be largely driven by the subgroups of patients with no metastatic disease at diagnosis and not resected (HR = 0.83; 95% CI: 0.74, 0.93) and/or those with no ARB or ACE inhibitor exposures in the year prior to their PC diagnosis (HR = 0.78; 95% CI: 0.67, 0.89). When the subgroup having no ARB or ACE inhibitor exposures in the year prior to PC diagnosis were further restricted to those with no comorbid hypertension diagnosis or other antihypertensive medication exposures that year, the associations were stronger for ARBs after PC diagnosis (Supplemental Table S7: HR = 0.65; 95% CI: 0.47, 0.91) and for ACE inhibitors during the first 3 years of survival after PC diagnosis (Supplemental Table S8: HR = 0.72; 95% CI: 0.59, 0.89). There were no subgroups that showed survival benefits from exposure to ACE inhibitors after three years of survival. Supplemental Table S9 shows the crude and adjusted HRs for both ARBs and ACE inhibitor exposures in all patients and in each subgroup. The differences observed between the respective crude and adjusted HRs suggest that confounding was strong for some estimates, such as for the ARB HR among metastatic patients: crude HR = 1.08 vs. adjusted HR = 0.76.

Discussion

Having analyzed over 8,158 PC case records, this is by far the largest study of PC patient survival related to post-diagnosis exposure to ARBs or ACE inhibitors. Our results suggest that these drugs are significantly associated with improved prognosis. The PC patients that received at least one ARB prescription after their PC diagnosis experienced substantial mortality risk reductions of 20% in general, but 28% among the resected PC patients, 24% among those with metastatic PC at diagnosis, and 26% among those with at least one comorbidity. ACE inhibitors were associated with improving survival in PC patients, but only during their first three years of survival in which they experienced mortality risk reductions of 13% in general and 17% among non-metastatic patients not resected – a subgroup likely representing locally advanced PC patients that, in our study, did not appear to benefit as much as others from ARB exposure. A plausible explanation for the attenuation of this association after 3 years of survival is confounding by indication. Once these PC patients had survived the cancer at least that long and were in remission, other causes of death had become more common and patients treated with ACE inhibitors likely experienced greater risk of death from non-PC causes due to their diabetes, hypertension, or other indications.

Similar to our study, at least two clinical studies and several other observational studies of renin-angiotensin system (RAS) inhibitors have shown survival benefits in PC patients independently of chemotherapy [23], in patients undergoing gemcitabine treatment [13, 24], and in patients undergoing surgical resection for PC [14]. A recent single-arm phase II clinical trial was initiated to investigate losartan’s potential for improving success in surgical tumor resection among locally advanced pancreatic ductal adenocarcinoma (PDA) patients receiving FOLFIRINOX followed by chemoradiotherapy [15]. Their findings suggest a possible benefit from losartan and also support further clinical studies, such as the currently ongoing 4-arm randomized phase II clinical trial of the effects of losartan and/or immunotherapy (nivolumab) in combination with FOLFIRINOX and stereotactic body radiotherapy (SBRT) on improving success in surgical tumor resection in patients with localized PC (NCT03563248) [16]. However, our study is the first to analyze survival following ARB and ACE inhibitors exposure in a general PC population with focused subgroup analysis of metastatic PC patients showing significantly improved survival in that particularly high-risk subpopulation of patients.

To understand how ARBs and ACE inhibitors may have affected improved survival in PC patients, consider that angiotensin II is a central hormone in the RAS that helps maintain fluid and electrolyte homeostasis throughout the body [4]. Past evidence shows that angiotensin II and the RAS are also expressed at the local tissue level and have been associated with influencing tissue angiogenesis, cellular proliferation, and apoptosis through paracrine functions [25]. Angiotensin II has two well-defined receptors that are prevalent in human tissue, the angiotensin II type 1 (AT1) and the angiotensin II type 2 (AT2) receptors. The AT1 receptor is primarily responsible for the cardiovascular and renal benefits seen with angiotensin inhibition, but is also a potential target for antineoplastic agents. In particular, specific inducement of the AT1 receptor is linked with increased cancer cell proliferation, growth, and reduced rates of apoptosis [26]. The AT2 receptor, however, is only expressed in adult tissue in a limited capacity and is suspected to antagonize many proposed antineoplastic functions of the AT1 receptor [27]. ARBs and ACE inhibitors primarily regulate the RAS through either the competitive inhibition of angiotensin-converting-enzyme responsible for producing angiotensin II or directly inhibiting the binding of angiotensin II at the AT1 receptor. Therefore, as ACE inhibitors prevent the systemic formation of angiotensin II, they inhibit the effect of angiotensin II on both the AT1 and AT2 receptors while ARBs, as competitive receptor antagonists, only inhibit angiotensin II at its primary binding site, the AT1 receptor. Initial studies identified angiotensin II as a strong mediator of VEGF expression in PDA cells due to an AT1 dependent pathway [6, 7]. Direct inhibition of the AT1 receptor with the ARB losartan was shown to reduce pancreatic tumor size in mice and rats, presumably due to suppression of VEGF-mediated angiogenesis [28, 29]. Losartan also appears to have a significant impact on PDA cell survival through stimulation of p53 directed apoptosis [30] and was shown to improve intratumoral drug delivery to PC tumors in mice [31]. In vitro studies also show that losartan, when used with nanoparticle doxorubicin, reduced tumor size and increased intratumoral distribution of doxorubicin nanoparticles likely due to inhibition of collagen I production within cells. [32]. As angiotensin II inhibition is reported to decrease the expression of various growth factors which influence the tumor–stromal interaction, exposure to ARBs and ACE inhibitors may modulate the tumor microenvironment against PC by decreasing the stromal volume and improving drug delivery to increase the efficacy of chemotherapeutics. [33]. Theories behind the antineoplastic potential of ACE inhibitors remain unsettled; multiple studies examining inhibition of the AT2 receptor have produced competing mechanisms. Stimulation of the AT2 receptor is associated with reducing PC cell growth, a benefit that disappeared with use of an AT2-specific antagonist [34]. However, at least one study found that AT2 inhibition was associated with decreased fatty acid synthase translation and decreased PC cell survival suggesting there may be alternate mechanisms for ACE inhibitors in PC [35].

There are important limitations and strengths to our claims-based retrospective cohort study. There were no records available in the database on behavioral exposures, such as smoking history, that could be important risk factors for PC and hypertension and would be useful as covariates in our models. The outpatient pharmacy records did not indicate the dose of any of the drugs prescribed. As such, we were unable to describe the dose-response relationship between post PC diagnosis ARB or ACE inhibitor exposure and survival. Moreover, we could not ascertain how well the patients adhered to their prescriptions. We recognize the inherent limitations of using an administrative healthcare database for research purposes. For instance, diagnosis and procedures coding in the database could have led to a misclassification of metastasis at diagnosis or an incomplete identification of exactly which patients had which comorbidities. We do not think that the likelihood of being coded for comorbidity was imbalanced between those who were and those who were not prescribed ACE inhibitors or ARBs in such a way that would have biased the results on their exposures and mortality away from the null (i.e., latent comorbidity having higher prevalence among those exposed to ACE/ARBs leading to stronger associations between these exposures and mortality). It is important to note, though, that we have been able to capture and adjust our models for critically important information on comorbid conditions through tracking outpatient drug prescriptions and using them as baseline and time-varying exposure covariates. Despite covariate adjustments, the comparison of ARB or ACE inhibitor exposed and unexposed PC patients could have been confounded to some degree by selection bias related to the severity or complications of their respective PC cases. Still, our careful utilization of the available covariate information and construction of time-dependent drug exposure variables and considerations for time-dependent risk parameter coefficients supports the internal validity of the results. Having comprehensive survival, outpatient prescribing, and comorbidity data on all PC cases in the entire Emilia-Romagna adult population of Italy from 2003 to 2011 is a great and perhaps unique strength of our study which supports the generalizability of our findings.

What could be the clinical implications of the study findings? The prospect of repurposed inexpensive and well-tolerated medications, such as ARBs and ACE inhibitors, having an impact on survival in PC patients is certainly intriguing from a clinical standpoint – especially considering that there are so few effective interventions available for PC patients, besides surgical resection when possible. Still, the associations we have estimated in this observational study need to be interpreted with caution as they are only a step in the process toward arriving at reliable answers to questions on clinical utility. However, it may be reasonable for PC patients requiring treatment for other indications, such as hypertension, to preferentially use ARBs or ACE inhibitors over other antihypertensives, and for PC patients already using ARBs or ACE inhibitors to weigh the potential for a survival benefit when considering deprescribing preventative treatments for chronic conditions. Given the relative strength and consistency of survival benefit associated with ARBs in our data, as compared with ACE inhibitors, it is tempting to prioritizing ARBs, such as losartan, for interventional studies in the general population of newly diagnosed PC patients. However, we believe that further observational studies and clinical trials of both classes are warranted.

Conclusions

More prospective clinical evidence is needed for determining the benefits of ARBs and ACE inhibitors on survival in PC patients before considering treatment recommendations on the use, duration, and dosing of these drugs in the broad target population. Nevertheless, our study suggests there is hope for prolonged survival among PC patients who take ARBs or ACE inhibitors. We have shown compelling associations between reduced mortality risk and exposure to ARBs or ACE inhibitors, including analysis of how long after PC diagnosis survival benefits might be expected. Considering that these common FDA approved drugs are inexpensive to payers and present minimal increased risk of adverse events to patients, there is an urgent need for randomized clinical trials, large simple randomized trials, and pragmatic clinical trials to formally and broadly evaluate the effects of ARBs and ACE inhibitors on survival in PC patients.

Availability of data and materials

Data for this study were retrieved from the Regional database of the Emilia-Romagna Region, provided through a collaborative agreement between the Regional Health Care and Social Agency, Regione Emilia-Romagna, Italy, the Health Care Authority, Regione Emilia- Romagna, Italy, and Thomas Jefferson University. Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available.

Abbreviations

ACE:

angiotensin I converting enzyme

ARB:

angiotensin II receptor blocker

AT1 :

angiotensin II type 1

AT2  :

angiotensin II type 2

CI:

confidence interval

FDA:

United States Food and Drug Administration

HR:

hazard ratio

ICD-9-CM:

International Classification of Diseases, Ninth Revision, Clinical Modification

NSAID:

non-steroidal anti-inflammatory drug

PC:

pancreatic cancer

PDA:

pancreatic ductal adenocarcinoma

RAS:

renin-angiotensin system

SBRT:

stereotactic body radiotherapy

VEGF:

vascular endothelial growth factor

References

  1. American Cancer Society. Cancer Facts & Figures 2021. Atlanta: American Cancer Society; 2021.

    Google Scholar 

  2. D’Angelo F, Antolino L, Farcomeni A, et al. Neoadjuvant treatment in pancreatic cancer: Evidence-based medicine? A systematic review and meta-analysis. Med Oncol. 2017;34(5):85.

    Article  Google Scholar 

  3. Oberstein PE, Olive KP. Pancreatic cancer: why is it so hard to treat? Therap Adv Gastroenterol. 2013;6(4):321–37.

    Article  Google Scholar 

  4. Ager EI, Neo J, Christophi C. The renin-angiotensin system and malignancy. Carcinogenesis. 2008;29(9):1675–84.

    CAS  Article  Google Scholar 

  5. Chauhan VP, Martin JD, Liu H, et al. Angiotensin inhibition enhances drug delivery and potentiates chemotherapy by decompressing tumour blood vessels. Nat Commun. 2013;4:2516.

    Article  Google Scholar 

  6. Arafat HA, Gong Q, Chipitsyna G, Rizvi A, Saa CT, Yeo CJ. Antihypertensives as novel antineoplastics: angiotensin-I-converting enzyme inhibitors and angiotensin II type 1 receptor blockers in pancreatic ductal adenocarcinoma. J Am Coll Surgeons. 2007;204(5):996–1005.

    Article  Google Scholar 

  7. Anandanadesan R, Gong Q, Chipitsyna G, Witkiewicz A, Yeo CJ, Arafat HA. Angiotensin II induces vascular endothelial growth factor in pancreatic cancer cells through an angiotensin II type 1 receptor and ERK1/2 signaling. J Gastrointestinal Surg. 2008;12(1):57–66.

    Article  Google Scholar 

  8. Lever AF, Hole DJ, Gillis CR, et al. Do inhibitors of angiotensin-I-converting enzyme protect against risk of cancer? Lancet. 1998;352(9123):179–84.

    CAS  Article  Google Scholar 

  9. Friis S, Sorensen HT, Mellemkjaer L, et al. Angiotensin-converting enzyme inhibitors and the risk of cancer: a population-based cohort study in Denmark. Cancer. 2001;92(9):2462–70.

    CAS  Article  Google Scholar 

  10. Lindholm LH, Anderson H, Ekbom T, et al. Relation between drug treatment and cancer in hypertensives in the Swedish Trial in Old Patients with Hypertension 2: a 5-year, prospective, randomised, controlled trial. Lancet. 2001;358(9281):539–44.

    CAS  Article  Google Scholar 

  11. Kim ST, Park KH, Oh SC, et al. How does inhibition of the renin-angiotensin system affect the prognosis of advanced gastric cancer patients receiving platinum-based chemotherapy? Oncology. 2012;83(6):354–60.

    CAS  Article  Google Scholar 

  12. Wilop S, von Hobe S, Crysandt M, Esser A, Osieka R, Jost E. Impact of angiotensin I converting enzyme inhibitors and angiotensin II type 1 receptor blockers on survival in patients with advanced non-small-cell lung cancer undergoing first-line platinum-based chemotherapy. J Cancer Res Clin Oncol. 2009;135(10):1429–35.

    CAS  Article  Google Scholar 

  13. Nakai Y, Isayama H, Ijichi H, et al. Inhibition of renin–angiotensin system affects prognosis of advanced pancreatic cancer receiving gemcitabine. Brit J Cancer. 2010;103(11):1644–8.

    CAS  Article  Google Scholar 

  14. Cerullo M, Gani F, Chen SY, Canner JK, Pawlik TM. Impact of Angiotensin Receptor Blocker Use on Overall Survival Among Patients Undergoing Resection for Pancreatic Cancer. World J Surg. 2017;41(9):2361–70.

    Article  Google Scholar 

  15. Murphy JE, Wo JY, Ryan DP, et al. Total Neoadjuvant Therapy With FOLFIRINOX in Combination With Losartan Followed by Chemoradiotherapy for Locally Advanced Pancreatic Cancer: A Phase 2 Clinical Trial. JAMA Oncol. 2019;5(7):1020–7.

    Article  Google Scholar 

  16. ClinicalTrials.gov. Losartan and nivolumab in combination with FOLFIRINOX and SBRT in localized pancreatic cancer (NCT03563248). https://clinicaltrials.gov/ct2/show/NCT03563248 Accessed 12/4/2021.

  17. The Emilia-Romagna Regional Health Service and the new welfare system: Facilities, expenditure, and activities as of 31.12.2010. Programs, agreements and organisational models. Bologna, Italy: Regione Emilia-Romagna Assessorato Politiche per la Salute; 2012.

  18. Sikirica S, Marino M, Gagne JJ, De Palma R, Maio V. Risk of death associated with the use of conventional vs. atypical antipsychotic medications: evaluating the use of the Emilia-Romagna Region database for pharmacoepidemiological studies. J Clin Pharm Ther. 2014;39(1):38–44.

    CAS  Article  Google Scholar 

  19. Clancy Z, Keith SW, Rabinowitz C, Ceccarelli M, Gagne JJ, Maio V. Statins and colorectal cancer risk: a longitudinal study. Cancer Causes Control. 2013;24(4):777–82.

    Article  Google Scholar 

  20. Alcusky M, Keith SW, Karagiannis T, Rabinowitz C, Louis DZ, Maio V. Metformin exposure and survival in head and neck cancer: A large population-based cohort study. J Clin Pharm Ther. 2019;44(4):588–94.

    CAS  Article  Google Scholar 

  21. Suissa S. Immortal time bias in pharmaco-epidemiology. Am J Epidemiol. 2008;167(4):492–9.

    Article  Google Scholar 

  22. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.

    CAS  Article  Google Scholar 

  23. Liu H, Naxerova K, Pinter M, et al. Use of Angiotensin System Inhibitors Is Associated with Immune Activation and Longer Survival in Nonmetastatic Pancreatic Ductal Adenocarcinoma. Clin Cancer Res. 2017.

  24. Nakai Y, Isayama H, Sasaki T, et al. The inhibition of renin-angiotensin system in advanced pancreatic cancer: an exploratory analysis in 349 patients. J Cancer Res Clin Oncol. 2015;141(5):933–9.

    CAS  Article  Google Scholar 

  25. Deshayes F, Nahmias C. Angiotensin receptors: a new role in cancer? Trends Endocrinol Metabol. 2005;16(7):293–9.

    CAS  Article  Google Scholar 

  26. Leung PS, Suen PM, Ip SP, Yip CK, Chen G, Lai PB. Expression and localization of AT1 receptors in hepatic Kupffer cells: its potential role in regulating a fibrogenic response. Regulatory Peptides. 2003;116(1–3):61–9.

    CAS  Article  Google Scholar 

  27. Tamarat R, Silvestre JS, Durie M, Levy BI. Angiotensin II angiogenic effect in vivo involves vascular endothelial growth factor- and inflammation-related pathways. Laboratory Investigation. 2002;82(6):747–56.

    CAS  Article  Google Scholar 

  28. Noguchi R, Yoshiji H, Ikenaka Y, et al. Synergistic inhibitory effect of gemcitabine and angiotensin type-1 receptor blocker, losartan, on murine pancreatic tumor growth via anti-angiogenic activities. Oncol Reports. 2009;22(2):355–60.

    CAS  Google Scholar 

  29. Kim S, Toyokawa H, Yamao J, et al. Antitumor effect of angiotensin II type 1 receptor blocker losartan for orthotopic rat pancreatic adenocarcinoma. Pancreas. 2014;43(6):886–90.

    CAS  Article  Google Scholar 

  30. Gong Q, Davis M, Chipitsyna G, Yeo CJ, Arafat HA. Blocking angiotensin II type 1 receptor triggers apoptotic cell death in human pancreatic cancer cells. Pancreas. 2010;39(5):581.

    CAS  Article  Google Scholar 

  31. Kumar V, Boucher Y, Liu H, et al. Noninvasive Assessment of Losartan-Induced Increase in Functional Microvasculature and Drug Delivery in Pancreatic Ductal Adenocarcinoma. Transl Oncol. 2016;9(5):431–7.

    Article  Google Scholar 

  32. Diop-Frimpong B, Chauhan VP, Krane S, Boucher Y, Jain RK. Losartan inhibits collagen I synthesis and improves the distribution and efficacy of nanotherapeutics in tumors. Proc Natl Acad of Sci U S A. 2011;108(7):2909–14.

    CAS  Article  Google Scholar 

  33. Masamune A, Hamada S, Kikuta K, et al. The angiotensin II type I receptor blocker olmesartan inhibits the growth of pancreatic cancer by targeting stellate cell activities in mice. Scand J Gastroenterol. 2013;48(5):602–9.

    CAS  Article  Google Scholar 

  34. Doi C, Egashira N, Kawabata A, et al. Angiotensin II type 2 receptor signaling significantly attenuates growth of murine pancreatic carcinoma grafts in syngeneic mice. BMC Cancer. 2010;10:67.

    Article  Google Scholar 

  35. McGhee A, Sivarajah M, Gong Q, et al. Angiotensin II type 2 receptor blockade inhibits fatty acid synthase production through activation of AMP-activated protein kinase in pancreatic cancer cells. Surgery. 2011;150(2):284–98.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge Ms. Shira Carroll for her administrative support on this research project.

Funding

This study was supported, in part, by an Institutional Research Grant (IRG-08-060-04) from the American Cancer Society.

Author information

Authors and Affiliations

Authors

Contributions

V.M. and D.Z.L. acquired the data. S.W.K., V.M., H.A., C.R., M.A., H.L., and D.Z.L. designed the study. S.W.K. and C.R. managed the data and S.W.K. analyzed the data. S.W.K., T.K., V.M., and M.A., drafted the manuscript. H.A., H.L., C.R., and D.Z.L. provided critical revisions to the manuscript. All authors reviewed the manuscript. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Scott W. Keith.

Ethics declarations

Ethics approval and consent to participate

This study was conducted under the auspices of regulation of privacy of the Emilia-Romagna Region N.3 of 24 April 2006 (title: Processing of sensitive data) of act N.1 of 30 May 2014 still in force. This study received expedited review and was approved by the Thomas Jefferson University Institutional Review Board.

Consent for publication

Not applicable.

Competing interests

The Authors declare that there is no conflict of interest. The authors’ work was independent of the funders, and this article accurately represents the study results. Dr.’s Alcusky and Karagiannis were post-doctoral fellows with Thomas Jefferson University during their involvement with the study and are currently employed by AbbVie (Karagiannis) and University of Massachusetts Medical School (Alcusky).

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Keith, S.W., Maio, V., Arafat, H.A. et al. Angiotensin blockade therapy and survival in pancreatic cancer: a population study. BMC Cancer 22, 150 (2022). https://doi.org/10.1186/s12885-022-09200-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-022-09200-4

Keywords

  • Angiotensin I converting enzyme (ACE) inhibitors
  • Angiotensin receptor blockers (ARBs)
  • Mortality
  • Pancreatic cancer
  • Pharmacoepidemiology
  • Survival