Abstract
Obesity is associated with risk of colorectal adenoma (CRA) and colorectal cancer. The signaling pathway activated by metformin (LKB1/AMPK/mTOR) is implicated in tumor suppression in ApcMin/+ mice via metformin-induced reduction in polyp burden, increased ratio of pAMPK/AMPK, decreased pmTOR/mTOR ratio, and decreased pS6Ser235/S6Ser235 ratio in polyps. We hypothesized that metformin would affect colorectal tissue S6Ser235 among obese patients with recent history of CRA. A phase IIa clinical biomarker trial was conducted via the U.S. National Cancer Institute-Chemoprevention Consortium. Nondiabetic, obese subjects (BMI ≥30) ages 35 to 80 with recent history of CRA were included. Subjects received 12 weeks of oral metformin 1,000 mg twice every day. Rectal mucosa biopsies were obtained at baseline and end-of-treatment (EOT) endoscopy. Tissue S6Ser235 and Ki-67 immunostaining were analyzed in a blinded fashion using Histo score (Hscore) analysis. Among 32 eligible subjects, the mean baseline BMI was 34.9. Comparing EOT to baseline tissue S6Ser235 by IHC, no significant differences were observed. Mean (SD) Hscore at baseline was 1.1 (0.57) and 1.1 (0.51) at EOT; median Hscore change was 0.034 (P = 0.77). Similarly, Ki-67 levels were unaffected by the intervention. The adverse events were consistent with metformin's known side-effect profile. Among obese patients with CRA, 12 weeks of oral metformin does not reduce rectal mucosa pS6 or Ki-67 levels. Further research is needed to determine what effects metformin has on the target tissue of origin as metformin continues to be pursued as a colorectal cancer chemopreventive agent.
Introduction
Colorectal cancer is the third most common cancer diagnosis among men and women and the second most common cancer cause of death in the United States (1). Accumulation of genetic and epigenetic alterations contributes to the progression of normal colorectal tissue to an adenoma and subsequently into cancer, via the well-defined adenoma–carcinoma sequence (2). Among other factors, obesity is implicated in colorectal adenoma (CRA) risk, risk of adenoma recurrence (3), colorectal cancer development (4), all-cause mortality from colorectal cancer (along with many other malignancies; ref. 5), and high risk of disease recurrence and mortality among colorectal cancer survivors (6, 7). Identifying obese individuals with history of CRAs as a high-risk group has generated interest among chemoprevention clinical trials researchers, including members of our study team (8). Obesity is rising in the United States, with prevalence estimates ranging from 34% to 50% among adults—disproportionately affecting Hispanics, and non-Hispanic black individuals. The magnitude of the problem and associated health disparities have prompted the American Society of Clinical Oncology to create an Energy Balance Workgroup to develop a policy statement on obesity and cancer, highlighting the importance of diet and physical activity in controlling obesity as a means of cancer prevention. Currently, there are considerable efforts to “repurpose” the diabetes medication metformin for cancer prevention (9), particularly among the obese due to (i) its role in tumor-suppressive and growth-inhibitory pathways, and (ii) favorable metabolic effects in obese individuals.
Although agreement in the literature is not uniform (10, 11), a growing evidence base of population-based studies (12–17) shows reduced cancer (including colorectal cancer; refs. 18, 19) incidence and cancer-specific death among diabetics using metformin versus other treatments. Two nonmutually exclusive mechanisms have been proposed: reduction of host insulin levels by metformin, and the direct action of metformin as an AMPK activator and mTOR inhibitor in neoplastic cells (Supplementary Fig. 1). A key action of metformin is activation of the LKB1/AMPK pathway (20). One pivotal study demonstrated that the in vivo action of metformin is severely attenuated in liver-specific LKB1 knockout mice (21). There is evidence that hyperinsulinemia stimulates aggressive cancer behavior. Metformin has important insulin-lowering and glucose lowering activity in hyperinsulinemic patients with the metabolic syndrome, obesity, and/or type II diabetes (22). Metformin has a direct growth inhibitory action (23, 24), requiring AMPK activation that leads to inhibition of mTOR activation and protein synthesis (23, 24), and reduced proliferation. Multiple investigations suggest specific relevance of these hypotheses to colorectal cancer (25–33). In colorectal cancer mouse models, 10 weeks treatment with metformin favorably alters mTOR pathway intermediates in colorectal polyps and results in decreased intestinal polyp formation. However, it is not known how metformin affects the mTOR pathway in colorectal tissues among humans.
Multiple investigations (25–34) suggest specific relevance of metformin action on the mTOR pathway to colorectal cancer. mTOR inhibition has been associated with decreased colorectal carcinogenesis in mice (35). Metformin induced intestinal polyp suppression in ApcMin/+ mice, along with an increased ratio of pAMPK/AMPk, decreased ratio of pmTOR/mTOR, and decreased ratio of pS6Ser235/S6Ser235 in the polyp specimens (28). Metformin also suppressed azoxymethaneinduced colorectal aberrant crypt foci (ACF) by activating AMPactivated protein kinase in murine models (36). A small trial of metformin as a colorectal cancer chemopreventive agent in humans was first reported in 2010 (37). Twenty-three individuals with ACF were randomized to receive 1 month of metformin 250 mg/day (n = 9) versus no treatment (n = 14). The number of ACF per individual was significantly reduced after metformin treatment, as was the proliferating cell nuclear antigen index.
Despite well-characterized effects of metformin inhibiting colorectal polyps in colorectal cancer mouse models via effects on the mTOR pathway, this has not been validated in humans at risk for colorectal cancer. We therefore performed a phase IIa clinical trial to test whether oral metformin affects rectal tissue S6Ser235 levels among obese patients with CRA.
Materials and Methods
Study design
This was a multicenter phase IIa study of oral metformin on colorectal mucosa tissue biomarkers among individuals with a history of colorectal adenomas and a BMI ≥30 (ClinicalTrials.gov identifier NCT01312467). Participants were enrolled at three sites (University of California Irvine Medical Center, Orange, CA; VA Long Beach Healthcare System, Long Beach, CA; and Kaiser Permanente Sacramento, Sacramento, CA) during the period June 2011 to December 2013.
Eligibility criteria
Obese individuals age 35 to 80 with history of colorectal adenomas within the prior 3 years were eligible for enrollment (adenomas must have been endoscopically removed). Documentation of colorectal adenomas was established via review of pathology reports. Obesity was defined as having a body mass index (BMI) ≥30, rounded to the nearest whole integer. Individuals <35 years of age were excluded as these may represent an unusual presentation for colorectal adenomas or hereditary condition. Individuals with diabetes mellitus were excluded, as were individuals with vitamin B12 deficiency, or history of liver or kidney disorders, lactic acidosis, metabolic acidosis, or eating disorder (anorexia nervosa, bulimia, or nausea). Participants were required to have excellent to good performance status (defined as Eastern Cooperative Oncology Group, ECOG performance status 0–1) and normal organ function.
Intervention and on-study assessments
Treatment was initiated with metformin at 500 mg (extended release tablets) every day for week 1, with a dose escalation of 500 mg each week until the final dose of 2,000 mg/day (1,000 mg twice every day) was reached by week 4. This schedule of two 500 mg tablets in the morning and two 500 mg tablets in the evening was continued for the remaining duration of the intervention period, from week 4 to week 12 (±1 week), including on the day of the end-of-treatment (EOT) endoscopy procedure.
Subjects were evaluated at weeks 0, 4, 8, and 12 during treatment, and at week 16 posttreatment for toxicity assessment, laboratory review, and compliance.
Procedures and laboratory analyses
Rectal biopsy
Participants were scheduled for a flexible sigmoidoscopy or colonoscopy with biopsy, performed according to standard protocol. The procedure was done in a manner that allowed tissue to be collected, fixed in formalin, and embedded in paraffin in the same day. A universal bowel prep was utilized by all institutions for flexible sigmoidoscopy or colonoscopy procedures as follows: for colonoscopy procedures, all patients used Golytely plus 2 Fleets enemas. Bowel preparation was initiated 14 to 18 hours before the procedure. Participants arrived in clinic having fasted after midnight of the day of the procedure. For flexible sigmoidoscopy procedures, two fleets enemas were used 1 to 2 hours before the procedure. No fasting was required for participants undergoing flexible sigmoidoscopy.
Flexible sigmoidoscopy with biopsy was performed as an outpatient procedure. Colonoscopy was performed under standard conditions including conscious sedation. Eight (8) normal rectal mucosal biopsies were obtained 10 cm from the anal verge or at the first rectal valve using large (3.4 mm) forceps (38), yielding approximately 15.5 mg tissue per biopsy and which has been associated with low risk of complications. Biopsies were obtained at baseline and at week 12 of metformin treatment by endoscopy using standard procedures.
Following the validated methods of Tabernero and colleagues (39), tissue specimens were immediately placed into a 4°C precooled 4% neutral-buffered formalin solution and fixed for 8 to 16 hours, with a maximum duration of 24 hours. Fixed specimens were further processed through routine specimen dehydration using graded ethanols to xylene. Tissue specimens were embedded in paraffin wax under vacuum at 60°C and stored at room temperature until analysis at the lead site. Four-micrometer-tissue sections were mounted onto positively charged glass slides. For each subject, two slides from the same tissue block were stained with individual positive and negative controls. IHC staining was performed using an automated Ventana BenchMark ULTRA immunostainer and according to the manufacturer's protocol. The antigen-retrieval was applied as needed for each antibody. Two antibodies were utilized: pS6Ser235 (Ser235/236, 1:200; Cell Signaling Technology) and Ki-67 (30–9; Ventana). The Ki-67 antibody was prediluted and ready to use (RTU) by the manufacturer. Histologic assessment was done by two pathologists. To carefully quantitate immunostaining levels in epithelial (as compared with stromal) cells we used two experienced Pathologists (Drs. Rezk and Carpenter) rather than an automated scoring system for scoring. The study pathologists were blinded with respect to the pre/post metformin status of the biopsy material. Ten high-power fields per sample were assessed for immunostaining and the lead pathologist (Dr. Rezk) assigned a numeric score representing the proportion of cells staining positive. Qualitative changes in marker expression were assessed in a blinded fashion. For quantitative analysis, the Histo score (Hscore) was calculated to evaluate complete biopsy sections at high magnification using a light microscopy, as reported previously (39). The Hscore is determined by estimation of the percentage of tissue cells positively stained with low, medium, or high staining intensity. The final score is determined by weighted estimate, as follows: Hscore = (low %) × 1 + (medium %) × 2 + (high %) × 3. Scoring of the proliferation marker Ki-67 was assessed by estimation of a ratio of tumor cells positively stained for Ki-67 versus the total number of tumor cells. This result is expressed as a percent of tumor cells stained. For IHC endpoints and a positive score, cytoplasmic staining is required for pS6serine235, and nuclear staining for Ki-67.
Toxicity evaluation
All subjects were evaluated for toxicity assessment from the time of first dose of metformin, using Common Terminology for Adverse Events v4.0 (CTCAE, from https://evs.nci.nih.gov/ftp1/CTCAE/CTCAE_4.03/Archive/CTCAE_4.02_2009-09-15_QuickReference_8.5x11.pdf × 11.pdf). Because toxicities in this study are measured as categorical data, primary analysis was done using tests of binomial proportions (e.g., Mantel-Haenszel chi-squared statistic).
Response evaluation
Analyses of primary and secondary endpoints included all subjects for whom tissue was accessible for both pre-and posttreatment quantitative IHC. Participants taking metformin on ≥70% of days (as assessed by pill count) were prospectively defined as “good compliers.”
Statistical considerations
Distributions were determined from blood and tissue samples at baseline. Biomarker endpoints: a paired t test was used to examine the effect of short-term (12-week duration) oral metformin on rectal mucosa biomarkers (pS6Ser235, Ki-67) as assessed by immunostaining. The distribution of the difference between post- and pretreatment values was examined. Measures of central tendency and variability were computed. We tested the assumption of normality of the differences and if violated we sought transformations that most closely satisfy the assumption. Power calculations were based using a paired t test to demonstrate at least a 35% decrease in the rectal mucosa pS6Ser235 level (primary endpoint) based on a similar reduction in the pS6Ser235/pS6Ser235 ratio in polyp specimens observed in prior murine studies after metformin treatment (28). Such calculations indicated that a sample size of 32 subjects will have power = 0.80. Forty-five subjects were accrued to account for attrition. Each subject had two slides evaluated for cell proliferation at pretreatment, and two slides at posttreatment. The mean percentage of positive nuclei staining for Ki-67 at the same time point was obtained. A two-sided paired t test was used to examine the effect of short-term (12-week duration) oral metformin on percentage of positive nuclei staining for Ki-67. The descriptive statistics and profile plot in percentage of positive nuclei staining for Ki-67 were generated. The Pearson correlation coefficient was obtained between the difference (post–pre) in Hscore and the difference (post–pre) in percentage of positive nuclei staining for Ki-67. The scatter plots also were constructed.
Analyses of the time to side effect development were done by the proportional hazards model. The latter analysis used a time-dependent covariate to explore the cumulative dose effect and a dosage group effect. A sensitivity analysis was conducted from the subset of subjects determined to be “good compliers.”
Reporting and exclusions
Dropouts and those lost to follow-up were not analyzed for primary or secondary endpoints. Subject compliance was monitored at each follow-up visit. Noncompliance was determined on the basis of the participant adherence to at least 70% of the study medication. Data were analyzed for all patients completing the endoscopy exams with biopsy. Subjects were asked to keep a diary/calendar to document consumption of medication and to bring their diary to each visit. Pill counts were used as a secondary measure to validate self-reports.
Data and safety monitoring plan
In accordance with the policies and procedures of Phase I-II Cancer Prevention Consortia: Southern California Chemoprevention Consortium (University of California, Irvine Chao Family Comprehensive Cancer Center) and the NIH and NCI policies for Data and Safety Management of clinical trials, all Consortium clinical trials are monitored to insure the safety of human participants, the validity and integrity of the data, and appropriate termination. The UC Irvine Chao Family Comprehensive Cancer Center Data Safety Monitoring Board was responsible for monitoring the study.
Ethical considerations and institutional review board approval
Before initiating the study and receiving agent, the Investigators at the Lead Organization and the Participating Organization(s) obtained written approval to conduct the study from the local Institutional Review Boards (IRB). Studies were conducted in accordance with the Belmont report. Written informed consent was obtained from all participants, after a full discussion of risks and benefits.
Results
Between 2011 and 2013, 45 obese CRA individuals were accrued at three sites to attain 32 evaluable subjects (UC Irvine, n = 10; Kaiser Permanente, n = 10; VA Long Beach Healthcare System, n = 12). Among the 45 individuals initially enrolled, four were deemed ineligible, four came off study due to adverse events (AE, including diarrhea, insomnia, headache), four was lost to follow-up, two withdrew consent, and three were removed for other reasons. Baseline demographic data are listed in Table 1. Among the evaluable subjects, the median age was 59.1 years. The study population was predominately male (71.9%) and White race (84%); patients with Hispanic ethnicity comprised 9.4% of patients. The median baseline weight was 105.2 kg and median BMI was 34.9 kg/m2.
. | Registered to the study . | Completed the study . |
---|---|---|
Baseline characteristics . | (N = 45) . | (N = 32) . |
Age, year mean (SD) | 59.6 (6.8) | 59.1 (7.3) |
Male, n (%) | 30 (67%) | 23 (72%) |
Female | 15 (33%) | 9 (28%) |
Ethnicity | ||
Hispanic or Latino, n (%) | 5 (11%) | 3 (9%) |
Not Hispanic or Latino, n (%) | 39 (87%) | 29 (91%) |
Unknown, n (%) | 1 (2%) | 0 |
Race | ||
White, n (%) | 38 (84%) | 27 (84%) |
Black/African American, n (%) | 4 (9%) | 4 (13%) |
Not reported/unknown, n (%) | 2 (4%) | 1 (3%) |
Native Hawaiian/other Pacific Islander, n (%) | 1 (2%) | 0 |
Weight, kg mean (SD) | 103.25 (15.94) | 105.16 (17.42) |
BMI, mean (SD) | 34.28 (5.04) | 34.92 (5.57) |
. | Registered to the study . | Completed the study . |
---|---|---|
Baseline characteristics . | (N = 45) . | (N = 32) . |
Age, year mean (SD) | 59.6 (6.8) | 59.1 (7.3) |
Male, n (%) | 30 (67%) | 23 (72%) |
Female | 15 (33%) | 9 (28%) |
Ethnicity | ||
Hispanic or Latino, n (%) | 5 (11%) | 3 (9%) |
Not Hispanic or Latino, n (%) | 39 (87%) | 29 (91%) |
Unknown, n (%) | 1 (2%) | 0 |
Race | ||
White, n (%) | 38 (84%) | 27 (84%) |
Black/African American, n (%) | 4 (9%) | 4 (13%) |
Not reported/unknown, n (%) | 2 (4%) | 1 (3%) |
Native Hawaiian/other Pacific Islander, n (%) | 1 (2%) | 0 |
Weight, kg mean (SD) | 103.25 (15.94) | 105.16 (17.42) |
BMI, mean (SD) | 34.28 (5.04) | 34.92 (5.57) |
Efficacy
The primary endpoint was to assess levels of activated pS6Ser235/236 in colorectal mucosa pre- and post-metformin. As seen in representative Fig. 1, immunostaining patterns were variable by crypt location. To examine interrater variability, a second pathologist read 10 random slides for analysis of interrater variability of pS6serine235 (nonblinded fashion, by the “agree” vs. “disagree” method). On the basis of these 10 slides, there was 80% (8/10, 95% exact confidence interval (CI), 44%–97%) agreement between the two pathologists' evaluations. Immunostaining revealed no significant differences in pre- versus post-metformin pS6Ser235 in the rectal mucosa. The median difference in pS6Ser235 Hscores in paired analyses of week 12 versus baseline rectal mucosa samples was 0.034 ± 0.44SD, P = 0.77 (NS). Among the 32 evaluable subjects, 17 had rectal mucosa pS6Ser235 Hscores that were lower at end-of-study than at baseline. Conversely, 15 patients had rectal mucosa pS6Ser235 Hscores that were greater at week 12 than at baseline.
In the analyses stratified by study site, the means and SEs of Hscores of pS6Ser235 at baseline were 1.531 and 0.105 respectively for Kaiser Permanente at Sacramento, 0.521 and 0.096 respectively for Long Beach VAMC, and 1.400 and 0.105 respectively for UC Irvine. This stratification indicated that there was a statistically significant difference in Hscore of pS6Ser235 at baseline among the three study sites with a P-value <0.001. Means and SDs of the change in the Hscores of pS6Ser235 from baseline were 0.321 and 0.488 respectively for Kaiser Permanente at Sacramento (nominal P-value, 0.068), −0.201 and 0.289 respectively for Long Beach VAMC (nominal P-value, 0.035), and −0.006 and 0.416 for UC Irvine (nominal P-value, 0.964). There was no statistically significant change in the Hscore of pS6serine235 from baseline at each study site after the Bonferroni–Holm adjustment method was applied.
Ki-67 levels in colorectal mucosa were assessed by immunostaining, as a secondary endpoint. Pearson correlation coefficients were calculated between the difference (post–pre) in Hscore and the difference (post–pre) in percentage of positive nuclei staining for Ki-67. The Pearson correlation coefficient was 0.15 (P-value = 0.43, NS).
Safety assessment (evaluable cohort, N = 32)
Table 2 shows the type and number of reported attributable AEs (possible, probable, and definitely related) among the 32 evaluable subjects, using CTCAE v4.0. Twenty-three subjects (72%) reported at least one possible, probable, or definite study related AE on or after the treatment began. The most common study related events that were reported include diarrhea [N = 15 (47%) subjects], anorexia [N = 6 (19%) subjects], flatulence [N = 9 (28%) subjects], nausea [N = 6 (19%) subjects], and abdominal/stomach pain [N = 11 (34%) subjects; 4 events of cramping]. No grade 3 or 4 AEs were observed.
. | AE . | . | Number of unique patients . | |||
---|---|---|---|---|---|---|
. | Mild . | Moderate . | . | Mild . | Moderate . | Subtotal . |
. | (Grade1) . | (Grade 2) . | Subtotal . | (Grade1) . | (Grade 2) . | . |
Abdominal pain | 2 | 0 | 2 | 2 | 0 | 2 |
Anorexia | 6 | 0 | 6 | 6 | 0 | 6 |
Bloating | 1 | 0 | 1 | 1 | 0 | 1 |
Constipation | 1 | 0 | 1 | 1 | 0 | 1 |
Diarrhea | 16 | 1 | 17 | 15 | 1 | 16 |
Dizziness | 3 | 0 | 3 | 3 | 0 | 3 |
Dry mouth | 1 | 0 | 1 | 1 | 0 | 1 |
Dyspepsia | 5 | 1 | 6 | 3 | 1 | 4 |
Fatigue | 3 | 0 | 3 | 3 | 0 | 3 |
Fever | 1 | 0 | 1 | 1 | 0 | 1 |
Flatulence | 9 | 0 | 9 | 9 | 0 | 9 |
Hyperhidrosis | 1 | 0 | 1 | 1 | 0 | 1 |
Hypoglycemia | 1 | 1 | 2 | 1 | 1 | 2 |
Insomnia | 2 | 0 | 2 | 2 | 0 | 2 |
Metabolism and nutrition disorders—other, specify | 1 | 0 | 1 | 1 | 0 | 1 |
Myalgia | 2 | 0 | 2 | 2 | 0 | 2 |
Nausea | 6 | 0 | 6 | 6 | 0 | 6 |
Stomach pain | 15 | 4 | 19 | 8 | 2 | 10 |
Tremor | 2 | 0 | 2 | 1 | 0 | 1 |
Vomiting | 1 | 1 | 2 | 1 | 1 | 2 |
Total | 79 | 8 | 87 |
. | AE . | . | Number of unique patients . | |||
---|---|---|---|---|---|---|
. | Mild . | Moderate . | . | Mild . | Moderate . | Subtotal . |
. | (Grade1) . | (Grade 2) . | Subtotal . | (Grade1) . | (Grade 2) . | . |
Abdominal pain | 2 | 0 | 2 | 2 | 0 | 2 |
Anorexia | 6 | 0 | 6 | 6 | 0 | 6 |
Bloating | 1 | 0 | 1 | 1 | 0 | 1 |
Constipation | 1 | 0 | 1 | 1 | 0 | 1 |
Diarrhea | 16 | 1 | 17 | 15 | 1 | 16 |
Dizziness | 3 | 0 | 3 | 3 | 0 | 3 |
Dry mouth | 1 | 0 | 1 | 1 | 0 | 1 |
Dyspepsia | 5 | 1 | 6 | 3 | 1 | 4 |
Fatigue | 3 | 0 | 3 | 3 | 0 | 3 |
Fever | 1 | 0 | 1 | 1 | 0 | 1 |
Flatulence | 9 | 0 | 9 | 9 | 0 | 9 |
Hyperhidrosis | 1 | 0 | 1 | 1 | 0 | 1 |
Hypoglycemia | 1 | 1 | 2 | 1 | 1 | 2 |
Insomnia | 2 | 0 | 2 | 2 | 0 | 2 |
Metabolism and nutrition disorders—other, specify | 1 | 0 | 1 | 1 | 0 | 1 |
Myalgia | 2 | 0 | 2 | 2 | 0 | 2 |
Nausea | 6 | 0 | 6 | 6 | 0 | 6 |
Stomach pain | 15 | 4 | 19 | 8 | 2 | 10 |
Tremor | 2 | 0 | 2 | 1 | 0 | 1 |
Vomiting | 1 | 1 | 2 | 1 | 1 | 2 |
Total | 79 | 8 | 87 |
Note: Study related was defined as “Possible,” “Probable,” and “Definite” related to the study regimen. For the number of participants, column percent was calculated. Rows are not mutually exclusive. Of note, no grade 3 or grade 4 AEs were observed. Shaded cells indicate the data are not applicable.
Comparing week 12 (EOT) with baseline values, metformin treatment for 12 weeks did not statistically alter hematologic (white blood cell count, hemoglobin, hematocrit, platelet count) or blood chemistry profiles (including electrolyte values, renal, or liver function values). Of note, metformin treatment resulted in significantly reduced serum vitamin B12 levels decreased by 46.7 ng/L (95% CI, −73.2 to −20.2). Vitamin B12 levels were significantly reduced at EOT versus baseline (see Supplementary Table for clinical laboratory data). Metformin treatment resulted in significant weight loss after 12 weeks on-study (−2.15 kg; 95% CI, −3.26 to −1.04).
Discussion
In chemoprevention clinical trials based research, utmost import is placed on (i) identifying high-risk individuals who can be targeted for prevention, (ii) investigating agents with acceptable toxicity profiles commensurate with the risk level in a target population, (iii) utilizing agents that have demonstrated activity in the target tissue of origin, and (iv) ushering potential agents through the clinical trials development process only when there is extensive supportive preclinical evidence to corroborate epidemiological associations of risk reduction (40). Considering metformin as a potential chemopreventive agent, our goal was to fill remaining gaps in this paradigm by demonstrating activity of metformin in the target tissue of origin among a special population at risk for colorectal cancer. A better understanding of metformin as a chemopreventive agent in the clinical trials setting is important not only for colorectal cancer research but also for research focused on other solid tumor malignancies, particularly obesity-associated malignancies (e.g., endometrial, breast, pancreas). Our unique, high-risk population (obese individuals with CRAs) was suited as a target for any chemopreventive effects, in addition to the known favorable metabolic effects of metformin. However, in this clinical trial, we did not detect any differences in rectal tissue pS6Ser235/236 or Ki67 immunostaining levels after 12 weeks metformin treatment among obese patients with CRA. Similar negative tissue effects have been observed after metformin use in Barrett's esophagus (41). In a randomized placebo-controlled trial of 74 individuals with Barrett's esophagus, no significant biomarker differences were seen for pS6Ser235/236, proliferation (by Ki67 labeling index), or apoptosis (caspase 3) levels after 12 weeks of treatment with either metformin or placebo (41). However, in three small clinical trials involving patients with endometrial cancer, metformin treatment prior to surgery resulted in decreased mTOR pathway biomarkers as predicted, and reduced cellular proliferation (as determined by percent Ki-67 staining; refs. 42–44).
Our results (examining metformin effects on the normal rectal mucosa in humans) differ substantially from those observed in the prior murine experiments (which focused on metformin-induced changes in polyp specimens). Evidence for modulation of mTOR signaling in normal rectal mucosa has been established. In a small study of patients given aspirin 600 mg/day for 1 week, Din and colleagues reported decreased phosphorylation of S6 and S6K1 in rectal mucosal samples (45). Although our clinical trial was designed to assess tissue pS6Ser235/236, it is now known that pS6Ser235/236 can be mTOR independent, however pS6Ser240/244 is always mTOR dependent (46). Furthermore, validated antibodies now exist that may better reflect metformin activity (e.g., pAMPK). It is possible that the choice of endpoint, antibody used, IHC technique, and short trial duration may not have adequately captured metformin's tissue effects. Given the complex nature of carcinogenesis, analysis of a limited number of tissue biomarkers on proliferation or relevant signaling pathways (as reported here) may not offer a comprehensive assessment of metformin tissue effects.
It is important to acknowledge here the results of a landmark phase III trial from Japan, where Higurashi and colleagues randomized 151 nondiabetic individuals with colorectal adenomas (after polypectomy) to treatment with either metformin 250 mg/day or placebo for 12 months (47). Approximately 70% of participants had multiple or advanced adenomas or carcinoma in situ at baseline. The result was a 40% risk reduction of adenomas in individuals receiving metformin versus placebo (Risk Reduction (RR) = 0.6; 95% CI, 0.39–0.92). AEs in this trial were low (11% AEs reported, all of which were grade 1), as expected with the low dose of metformin (250 mg/day) utilized in the trial.
There are substantial differences between the participants and the intervention in the prior phase III clinical trial by Higurachi and colleagues (47) and this phase IIB clinical trial. Study participants in the phase III clinical trial were Japanese, compared with primarily U.S. Caucasians in the current phase IIB study. All patients in the phase IIB study were obese (median BMI was 34.9 kg/m2, as a BMI >30 kg/m2 was required for study entry), compared with patients in the phase III trial who had an average BMI of 23 kg/m2. The duration of treatment was much longer for in the phase III clinical trial (12 months) compared with our study (12 weeks), and the metformin dose was much lower in the phase III trial (250 mg/day vs. 1,000 mg twice every day). The Higurashi study (47) is a chemopreventive study with a clinical primary endpoint (adenoma recurrence) whereas our study focused on a biomarker endpoint. Furthermore, we did not assess tissue biomarker changes in adenomas, rather our focus was on the target tissue of origin: normal rectal mucosa.
In our study, metformin treatment at 1,000 mg twice every day was met with substantial toxicity—particularly gastrointestinal toxicity (diarrhea, abdominal cramping, flatulence). After 12-week intervention, 72% of patients reported at least one AE. Forty-seven percent of patients developed grade I or grade II diarrhea, and 34% reported grade I/II stomach pain. Of note, these relatively high rates of AEs are despite the relatively slow and deliberate upward titration of metformin to achieve 1,000 mg twice every day dose by week 4. Certain patients will not tolerate full-dose metformin in this setting, evidenced by the fact that four patients came off study due to AEs. As such, though metformin is considered safe from a therapeutic standpoint at 1,000 mg twice every day, the dosage in the setting of cancer prevention, at least among obese nondiabetic Western patients appears to be too high, and not recommended for future colorectal cancer prevention clinical trials.
In the phase III trial of metformin versus placebo by Higurashi and colleagues (47), significant colorectal adenoma reduction was reported. Interestingly, this effect was seen after 12-month treatment duration at a metformin dose of just 250 mg/day. Of note, this was the same metformin dose used in by members of the same research group in their prior phase IIB trial of metformin versus placebo demonstrating colorectal ACF reduction (37). As mentioned, the AE rate in the phase III trial was very low at 11%, all being grade I AEs. Given the balance of efficacy against clinical endpoints (colorectal adenomas, ACFs) and with a favorable safety profile, it appears that low-dose metformin (250 mg/day) is the optimal dose for testing in future colorectal cancer prevention clinical trials. This preferred metformin dose (250 mg/day for colorectal cancer prevention) is lower than the dose used in major North American clinical trials, including the clinical trial of metformin (850 mg twice every day) versus placebo in early-stage breast cancer (NCIC Clinical Trials Group MA.32; ClinicalTrials.gov Identifier: NCT01101438).
In addition to the aforementioned gastrointestinal side effects observed after metformin 1,000 mg twice every day dose in our study, patients experienced weight loss (which is beneficial in the setting of obesity), and a decrease in serum vitamin B12 levels. These latter differences shed light on nondiabetic populations that may not be suitable for metformin-based clinical trials (i.e., patients with low BMI, or individuals with baseline low-normal serum B12 levels). Other limitations include a small sample size related to the phase IIa clinical trial design, where we had insufficient statistical power to detect small biomarker effects, the relatively short duration of intervention, and the limited number of biomarkers assessed.
Despite our negative results, given the recent positive clinical results of the aforementioned phase III clinical trial of metformin for colorectal adenoma reduction, we believe future research is needed to elucidate potentially chemopreventive actions of metformin in the obese population. The field is developing rapidly—with a growing body of clinical trials-based research soon to emerge. We await the result of the large phase III breast cancer post-adjuvant clinical trial of metformin versus placebo led by the NCI Canada (“MA.32”)—which will not be available until after 2020 (48). Smaller clinical studies may help to elucidate the role of metformin as an anticancer agent, such as the METEOR phase II study (investigating tumor size after neoadjuvant treatment with or without metformin in hormone-receptor positive breast cancer patients; ref. 49). For colorectal cancer, large-scale clinical trials in the United States have been discussed and there is renewed optimism (50), however no large-scale phase III clinical trials are currently active. Of note, the ongoing Diabetes Prevention Program Outcomes Study-3 (DPPOS3) aims to look at cancer (among other) outcomes in their cohort of patients originally assigned to metformin, placebo, or lifestyle modification (https://clinicaltrials.gov/ct2/show/NCT00038727), with results expected in the next 5 years. It is anticipated that such emerging clinical, translational, and basic experimental data will help to clarify many of the perplexing issues related to metformin's potential role in cancer chemoprevention.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
One of the Editors-in-Chief of Cancer Prevention Research is an author on this article. In keeping with AACR editorial policy, a senior member of the Cancer Prevention Research editorial team managed the consideration process for this submission and independently rendered the final decision concerning acceptability.
Authors' Contributions
Conception and design: J.A. Zell, L.M. Rodriguez, L.G. Ford, M.N. Pollak, F.L. Meyskens
Development of methodology: J.A. Zell, L.M. Rodriguez, F.L. Meyskens
Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): J.A. Zell, T.R. Morgan, M.J. Lawson, C.G. Albers, J.C. Carmichael, J. Chung
Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): J.A. Zell, C.E. McLaren, T.R. Morgan, M.J. Lawson, S. Rezk, W.-P. Chen, J.C. Carmichael, L.G. Ford, M.N. Pollak, F.L. Meyskens
Writing, review, and/or revision of the manuscript: J.A. Zell, C.E. McLaren, T.R. Morgan, M.J. Lawson, S. Rezk, J. Chung, E. Richmond, L.M. Rodriguez, E. Szabo, L.G. Ford, M.N. Pollak, F.L. Meyskens, J.C. Carmichael
Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): J.A. Zell, J. Chung
Study supervision: J.A. Zell, E. Richmond
Acknowledgments
The study team acknowledges Phil Carpenter, MD, for independent pathology slide review and scoring. NCI-DCP N01-CN-35160, NIH-NCI 3P30CA062203-15, and supported by the UC Irvine Institute for Clinical Translational Science (ICTS) via Public Health Service research grant no. M01 RR00827 from the National Center for Research Resources.
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