Skip to main content
Pharmacogenomics and Personalized Medicine logoLink to Pharmacogenomics and Personalized Medicine
. 2016 Dec 20;10:1–16. doi: 10.2147/PGPM.S117796

Diet and lifestyle factors associated with miRNA expression in colorectal tissue

Martha L Slattery 1,, Jennifer S Herrick 1, Lila E Mullany 1, John R Stevens 2, Roger K Wolff 1
PMCID: PMC5189704  PMID: 28053552

Abstract

MicroRNAs (miRNAs) are small non-protein-coding RNA molecules that regulate gene expression. Diet and lifestyle factors have been hypothesized to be involved in the regulation of miRNA expression. In this study it was hypothesized that diet and lifestyle factors are associated with miRNA expression. Data from 1,447 cases of colorectal cancer to evaluate 34 diet and lifestyle variables using miRNA expression in normal colorectal mucosa as well as for differential expression between paired carcinoma and normal tissue were used. miRNA data were obtained using an Agilent platform. Multiple comparisons were adjusted for using the false discovery rate q-value. There were 250 miRNAs differentially expressed between carcinoma and normal colonic tissue by level of carbohydrate intake and 198 miRNAs differentially expressed by the level of sucrose intake. Of these miRNAs, 166 miRNAs were differentially expressed for both carbohydrate intake and sucrose intake. Ninety-nine miRNAs were differentially expressed by the level of whole grain intake in normal colonic mucosa. Level of oxidative balance score was associated with 137 differentially expressed miRNAs between carcinoma and paired normal rectal mucosa. Additionally, 135 miRNAs were differentially expressed in colon tissue based on recent NSAID use. Other dietary factors, body mass index, waist and hip circumference, and long-term physical activity levels did not alter miRNA expression after adjustment for multiple comparisons. These results suggest that diet and lifestyle factors regulate miRNA level. They provide additional support for the influence of carbohydrate, sucrose, whole grains, NSAIDs, and oxidative balance score on colorectal cancer risk.

Keywords: colorectal cancer, carbohydrate, miRNA, NSAIDs, oxidative balance, sucrose

Introduction

MicroRNAs (miRNAs) are small non-protein-coding RNA molecules that regulate gene expression either by posttranscriptionally suppressing messenger RNA (mRNA) translation or by causing mRNA degradation.16 We know that miRNAs play a critical role in regulation of proliferation, differentiation, apoptosis, and stress response and are involved in the majority of physiological processes.7,8 While we are beginning to understand the role of miRNAs in various physiological functions, our understanding of what regulates miRNA expression is minimal. However, some studies have shown that some diet and other lifestyle factors such as specific dietary components, oxidative stress, and aspirin and nonsteroidal anti-inflammatory drugs (NSAIDs) alter miRNA expression.913

One of the factors most consistently inversely associated with colorectal cancer (CRC) risk is use of aspirin/NSAIDs. Likewise, dietary factors such as antioxidants have been associated with CRC risk.1417 We and others have shown that the oxidative balance score (OBS) is associated with CRC,1820 with CRC risk lowest among those with a score that is higher in antioxidants and lower in prooxidant factors. The role that these diet and lifestyle factors have on miRNA expression is limited, especially as it applies to colorectal tissue.

In this study, we examine the linear association between diet and lifestyle factors and miRNA expression in colon and rectal tissues. Our hypothesis is that lifestyle factors commonly associated with CRC risk alter miRNA expression profiles. We test associations for colon and rectal cancers separately, since risk factors often differ by tumor location. We evaluate associations of diet and lifestyle factors with miRNA expression for normal colon and rectal mucosa as well as for the difference of miRNA expression between paired carcinoma and normal colorectal tissue to help determine if associations influence the disease process. If miRNA expression profiles are altered by diet and lifestyle factors, it would strengthen the biological support for these associations and provide avenues for cancer prevention.

Methods

Study participants

Study participants came from two population-based case–control studies that included all incident colon and rectal cancers between 30 and 79 years of age who resided along the Wasatch Front in Utah or were members of the Kaiser Permanente Medical Care Program (KPMCP) in Northern California. Participants were White, Hispanic, or Black for the colon cancer study; the rectal cancer study also included Asians and American Indians not living on reservations.21,22 Cases had to have tumor registry verification of a first primary adenocarcinoma of the colon or rectum and were diagnosed between October 1991 and September 1994 for the colon cancer study and between June 1997 and May 2001 for the rectal cancer study. Detail study methods have been described earlier.23 The study was approved by the Institutional Review Board of the University of Utah and at KPMCP and all participants provided written informed consent.

miRNA processing

RNA was extracted from formalin-fixed paraffin-embedded tissue. Both normal mucosa adjacent to the carcinoma tissue and matched carcinoma tissue were used. Normal mucosa tissue served as a control. The Agilent Human miRNA Microarray V19.0 (Agilent Technologies, Santa Clara, CA, USA) was used given the number of miRNAs, its high level of reliability (repeatability coefficient was 0.98 in our data), and the amount of RNA needed to run the platform. The microarray contains probes for 2,006 unique human miRNAs. About 100 ng total RNA was labeled with Cy3 and hybridized to the Agilent Microarray and were scanned on an Agilent SureScan microarray scanner model G2600D. Data were extracted from the scanned image using Agilent Feature Extract software v. 11.5.1.1 (Agilent Technologies). Data were required to pass stringent quality control (QC) parameters established by Agilent that included tests for excessive background fluorescence, excessive variation among probe sequence replicates on the array, and measures of the total gene signal on the array to assess low signal. If samples failed to meet quality standards for any of these parameters, the sample was relabeled, hybridized to arrays, and scanned. If a sample failed QC assessment a second time, the sample was deemed to be of poor quality and was excluded from down-stream analysis.

Diet and lifestyle data

Data were collected by trained and certified interviewers using laptops. All interviews were audiotaped as previously described and reviewed for QC purposes.24 The referent period for the study was 2 years prior to diagnosis. As part of the study questionnaire, information was collected on regular use and current use of aspirin and NSAIDs and on physical activity during the referent period and for 10 and 20 years prior to diagnosis. Physical activity was obtained for the physical intensity of activity performed as well as the frequency and duration of activity. Body size information, including height (measured at the time of interview), weight (recalled for referent period), and waist and hip circumference measurements, were also collected. Dietary information was obtained for the referent period using an extensive diet history questionnaire adapted from the validated CARDIA diet history.25 Foods were converted to nutrients using the Nutrition Coding Center Nutrient Data System Version 19 (Nutrition Coordinating Center, University of Minnesota, Minneapolis, MN, USA) as well as being grouped into categories of similar foods. Foods units were standard servings per day, which was half cup of fruit, vegetable, or dairy product; meat servings were 2–3 oz of meat; grain products were half cup of rice-type grains or one slice of bread. Prudent and western dietary patterns were developed based on the principal component analysis.26 Our prudent dietary pattern was heavily loaded toward diets high in fruits, vegetables, whole grains, fish, and chicken, whereas the western dietary pattern was highly loaded toward red meat, processed meats, and refined grains and high-sugar-high-fat foods. Additional questions were asked about meat consumption, doneness, and preparation methods that were combined and used to create a mutagen index score.27

Statistical methods

Of the 2,006 unique human miRNAs assessed, 1,278 were expressed in colorectal carcinoma tissue. To minimize differences in miRNA expression that could be attributed to the array, amount of RNA, location on array, or other factors that could erroneously influence expression, total gene signal was normalized by multiplying each sample by a scaling factor28 (http://genespring-support.com/files/gs_12_6/GeneSpring-manual.pdf), which was the median of the 75th percentiles of all the samples divided by the individual 75th percentile of each sample. We limited our analysis to miRNAs that were expressed in at least 20% of the samples in the tissue(s) of interest. Data were assessed for colon and rectal cancer separately, and the number of miRNAs analyzed varied from 766 to 817 depending on tumor site and tissue type (ie, carcinoma or normal mucosa). Our sample consisted of 1,447 subjects with both miRNA expression data for carcinoma and paired normal mucosa as well as diet and lifestyle variables.

We assessed long-term vigorous physical activity, body mass index (kilogram per square meter) during referent year, waist circumference, and hip circumference. Assessment of aspirin/NSAID use included recent use (ie, using NSAIDs during the referent period or not) and ever regular use. We assessed 28 dietary variables including energy intake, western dietary pattern, prudent dietary pattern, mutagen index, total fat, total trans-fatty acid, total carbohydrates, sucrose, animal protein, vegetable protein, vitamins B12, C, D, and E, calcium, folic acid, dietary fiber, carotenoids, β-carotene, lutein + zeaxanthin, lycopene, and servings per day of dairy, fruit, vegetables, meat, processed meat, whole grains, and refined grains. All variables were analyzed as continuous variables unless they were collected as categorical (ie, NSAIDs variables). To summarize risk associated with multiple exposures, we developed an OBS that consisted of 13 diet and lifestyle factors that were prooxidants (dietary iron and polyunsaturated fat and cigarette smoking) and antioxidants (vitamin C, vitamin E, selenium, β-carotene, lycopene, lutein + zeaxanthin, vitamin D, calcium, and folic acid and NSAID use).18 To create the OBS, these diet and lifestyle factors were assigned values of 2 for low levels of exposure for each prooxidants or high exposure to antioxidants (low risk), 1 for intermediate levels of exposure, and 0 for high levels of exposure to prooxidants and low exposure to antioxidants (high risk). The individual scores for the 13 variables were then combined to obtain the OBS. Higher summary score corresponded to greater oxidative balance.

We examined lifestyle variables to determine if there was an association between each lifestyle variable and miRNA expression by fitting a linear model to the log2-transformed expression levels and adjusting for age at diagnosis, study center, and sex. We examined miRNA expression in both normal mucosa and the difference between miRNA expressions in carcinoma and in the normal colonic mucosa. p-values were generated using the bootstrap method by creating a distribution of 10,000 F statistics derived by resampling the residuals from the null hypothesis model of no association between the lifestyle variables and the miRNAs using the boot package in R. Associations were considered important if the false discovery rate (FDR) q-value was <0.11.29 We standardized the β coefficient presented in order to compare the results across the miRNA and lifestyle factors by subtracting the mean of the mRNA and dividing the result by the standard deviation of the mRNA before calculating the slope. If the lifestyle variable in the regression model was continuous, then we applied the same technique to it as well.

Results

The study population consisted of 892 cases of colon cancer and 555 cases of rectal cancer (Table 1). The mean age for colon cancer cases was 64.7 years and for rectal cancer cases was 61.8 years. The majority of study participants were males and most reported never having used aspirin/NSAIDs (subsequently referred to as NSAIDs) on a regular basis.

Table 1.

Description of study population

Lifestyle factor Colon Rectal
Sexa
 Male 485 (54.4) 316 (56.9)
 Female 407 (45.6) 239 (43.1)
Centera
 Kaiser 626 (70.2) 340 (61.3)
 Utah 266 (29.8) 215 (38.7)
OBSa
 Low 321 (36.0) 191 (34.4)
 2 187 (21.0) 120 (21.6)
 3 242 (27.1) 160 (28.8)
 High 142 (15.9) 84 (15.1)
Ever used NSAIDs regularlya
 No 531 (59.5) 318 (57.3)
 Yes 361 (40.5) 237 (42.7)
Recent NSAID usea
 No 583 (65.6) 350 (63.6)
 Yes 306 (34.4) 200 (36.4)
Age at diagnosisb 64.7 (9.5) 61.8 (10.8)
Calories (Kcal)b 2,479 (1,223) 2,660 (1,261)
Total carbohydrates
(gram per 1,000 Kcal)b
127.9 (22.6) 123.8 (21.8)
Sucrose (gram per 1,000 Kcal)b 20.6 (8.48) 21.8 (9.80)

Notes:

a

Values are given as N (%);

b

Values are given as mean (SD).

Abbreviations: NSAIDs, nonsteroidal anti-inflammatory drugs; OBS, oxidative balance score; SD, standard deviation.

There were few diet and lifestyle factors associated with miRNA expression in either normal colonic mucosa or with differential miRNA expression between carcinoma and normal mucosa when applying an FDR q-value of <0.1. Body mass index, waist and hip circumference, and physical activity showed no associations with miRNA expression with the FDR q-value at <0.1 as did most dietary factors analyzed. Only three dietary factors, carbohydrate intake, servings per day of whole grains, and sucrose intake, were associated with miRNA expression. For carbohydrate intake and sucrose intake, there were 250 and 198 miRNAs significantly differentially expressed between colon carcinoma and normal mucosa tissue by level of dietary intake. Of these miRNAs, 166 were significantly differentially expressed for both carbohydrate intake and sucrose intake (Table 2 shows the top 85 miRNAs based on q-value and Table S1 shows all miRNAs significantly differentially expressed for both carbohydrate and sucrose intake). Although the adjusted q-values indicated more significant associations with carbohydrate intake, the β coefficients for the two variables were very similar. There were 32 miRNAs uniquely associated with sucrose intake (Table 3). The top 53 miRNAs associated uniquely with carbohydrate intake (Table 3) all had a q-value of <0.05. Evaluation of miRNA expression in whole grains showed 99 miRNAs differentially expressed by level of intake in normal colonic mucosa with an FDR of <0.1 (Table 4).

Table 2.

Colon cancer differential miRNA expression (top 85) associated with both sucrose and carbohydrate intake

Sucrose Tumor Normal Sucrose Carbohydrate



miRNA expression Mean Mean β p-value q-value β p-value q-value
hsa_miR_10b_3p 47.06 53.71 −0.0838 0.0128 0.0641 −0.0911 0.0074 0.0350
hsa_miR_1224_5p 910.91 1,009.30 −0.0891 0.0093 0.0641 −0.0988 0.0060 0.0350
hsa_miR_1225_5p 2,775.37 3,033.07 −0.0922 0.0084 0.0641 −0.1030 0.0037 0.0350
hsa_miR_1227_5p 966.19 1,082.86 −0.0991 0.0033 0.0641 −0.1071 0.0027 0.0350
hsa_miR_1307_3p 11.07 12.84 −0.0901 0.0100 0.0641 −0.1070 0.0028 0.0350
hsa_miR_135a_3p 146.18 161.98 −0.0770 0.0270 0.0743 −0.0925 0.0078 0.0350
hsa_miR_1471 237.51 257.92 −0.0801 0.0204 0.0680 −0.1097 0.0016 0.0350
hsa_miR_1587 1,337.63 1,396.92 −0.1067 0.0022 0.0641 −0.1108 0.0020 0.0350
hsa_miR_181b_5p 23.22 18.61 −0.0917 0.0067 0.0641 −0.0903 0.0079 0.0350
hsa_miR_188_5p 406.17 458.31 −0.0810 0.0186 0.0651 −0.1033 0.0036 0.0350
hsa_miR_1914_3p 120.96 130.99 −0.0821 0.0173 0.0641 −0.1031 0.0037 0.0350
hsa_miR_1915_3p 2,946.52 3,444.83 −0.0896 0.0101 0.0641 −0.0946 0.0068 0.0350
hsa_miR_195_3p 1.12 1.03 0.0838 0.0161 0.0641 0.0949 0.0061 0.0350
hsa_miR_197_5p 3,010.83 3,334.22 −0.1104 0.0010 0.0641 −0.1087 0.0018 0.0350
hsa_miR_2861 5,575.32 6,458.02 −0.0926 0.0073 0.0641 −0.0954 0.0054 0.0350
hsa_miR_3124_5p 1.67 2.22 0.1180 0.0009 0.0641 0.1103 0.0010 0.0350
hsa_miR_3137 235.66 244.41 −0.0776 0.0230 0.0714 −0.1062 0.0028 0.0350
hsa_miR_3138 78.43 80.84 −0.0730 0.0324 0.0826 −0.1020 0.0045 0.0350
hsa_miR_3156_5p 87.64 93.95 −0.0753 0.0313 0.0818 −0.1024 0.0026 0.0350
hsa_miR_3158_5p 29.98 32.45 −0.0823 0.0168 0.0641 −0.1053 0.0023 0.0350
hsa_miR_3162_5p 2,715.58 2,982.07 −0.1011 0.0040 0.0641 −0.1141 0.0016 0.0350
hsa_miR_3188 218.59 247.20 −0.0875 0.0112 0.0641 −0.0969 0.0056 0.0350
hsa_miR_3194_5p 153.17 167.90 −0.0693 0.0455 0.0976 −0.0965 0.0053 0.0350
hsa_miR_3196 1,228.77 1,388.20 −0.0786 0.0224 0.0712 −0.0933 0.0073 0.0350
hsa_miR_3197 29.50 31.14 −0.0801 0.0202 0.0678 −0.1000 0.0042 0.0350
hsa_miR_345_5p 58.98 65.81 −0.0753 0.0261 0.0728 −0.1094 0.0009 0.0350
hsa_miR_3610 109.25 128.54 −0.0870 0.0129 0.0641 −0.1080 0.0031 0.0350
hsa_miR_3621 36.22 38.31 −0.0787 0.0232 0.0715 −0.1010 0.0048 0.0350
hsa_miR_370 44.95 41.52 −0.1075 0.0017 0.0641 −0.1323 0.0004 0.0350
hsa_miR_378e 2.05 2.15 0.0811 0.0197 0.0667 0.0941 0.0060 0.0350
hsa_miR_3940_5p 754.26 842.23 −0.1024 0.0033 0.0641 −0.1072 0.0018 0.0350
hsa_miR_4257 332.86 361.83 −0.0765 0.0267 0.0740 −0.0989 0.0060 0.0350
hsa_miR_4270 482.93 483.89 −0.0925 0.0097 0.0641 −0.0910 0.0077 0.0350
hsa_miR_4271 277.51 288.76 −0.0976 0.0043 0.0641 −0.1020 0.0045 0.0350
hsa_miR_4296 1.91 1.37 0.0860 0.0137 0.0641 0.0964 0.0055 0.0350
hsa_miR_4428 1,303.07 1,361.56 −0.0730 0.0354 0.0873 −0.1105 0.0025 0.0350
hsa_miR_4442 288.05 293.52 −0.0822 0.0176 0.0641 −0.0959 0.0065 0.0350
hsa_miR_4478 292.78 326.72 −0.0929 0.0070 0.0641 −0.1151 0.0012 0.0350
hsa_miR_4481 79.73 85.64 −0.1077 0.0020 0.0641 −0.1187 0.0008 0.0350
hsa_miR_4486 178.26 186.85 −0.0962 0.0061 0.0641 −0.0926 0.0080 0.0350
hsa_miR_4487 92.03 100.77 −0.0755 0.0301 0.0797 −0.0932 0.0067 0.0350
hsa_miR_4507 1,821.93 2,056.47 −0.0926 0.0048 0.0641 −0.0933 0.0084 0.0350
hsa_miR_4515 305.06 344.83 −0.0746 0.0289 0.0780 −0.0926 0.0083 0.0350
hsa_miR_4516 15,260.03 17,545.65 −0.0850 0.0136 0.0641 −0.1005 0.0039 0.0350
hsa_miR_4651 216.67 229.48 −0.0985 0.0048 0.0641 −0.0970 0.0053 0.0350
hsa_miR_4695_5p 356.79 385.84 −0.0913 0.0079 0.0641 −0.1046 0.0024 0.0350
hsa_miR_4707_5p 95.29 98.20 −0.0880 0.0102 0.0641 −0.0947 0.0071 0.0350
hsa_miR_4721 1,590.35 1,739.00 −0.0951 0.0058 0.0641 −0.0993 0.0039 0.0350
hsa_miR_4725_3p 15.13 16.09 −0.0952 0.0070 0.0641 −0.1045 0.0034 0.0350
hsa_miR_4734 189.46 206.40 −0.0872 0.0097 0.0641 −0.0938 0.0073 0.0350
hsa_miR_4758_5p 139.37 134.74 −0.0871 0.0112 0.0641 −0.0974 0.0063 0.0350
hsa_miR_4763_3p 1,338.05 1,402.42 −0.1138 0.0013 0.0641 −0.1065 0.0023 0.0350
hsa_miR_4776_5p 36.75 37.60 −0.0679 0.0476 0.0993 −0.0929 0.0073 0.0350
hsa_miR_4788 327.29 342.72 −0.0962 0.0051 0.0641 −0.0988 0.0056 0.0350
hsa_miR_5006_5p 653.96 737.60 −0.0729 0.0330 0.0836 −0.1011 0.0044 0.0350
hsa_miR_5196_5p 76.16 66.21 −0.1040 0.0032 0.0641 −0.0999 0.0039 0.0350
hsa_miR_520b 16.21 20.36 −0.0825 0.0177 0.0641 −0.0990 0.0040 0.0350
hsa_miR_525_5p 1.95 2.41 0.0833 0.0149 0.0641 0.0959 0.0048 0.0350
hsa_miR_548q 71.52 91.25 −0.0952 0.0066 0.0641 −0.1037 0.0021 0.0350
hsa_miR_557 75.73 75.51 −0.1129 0.0016 0.0641 −0.1068 0.0026 0.0350
hsa_miR_572 441.84 510.90 −0.0898 0.0092 0.0641 −0.0940 0.0073 0.0350
hsa_miR_6068 2,305.93 2,676.49 −0.0963 0.0055 0.0641 −0.1001 0.0046 0.0350
hsa_miR_6127 1,378.02 1,494.38 −0.0894 0.0097 0.0641 −0.1036 0.0035 0.0350
hsa_miR_623 45.79 48.87 −0.0815 0.0220 0.0710 −0.1015 0.0035 0.0350
hsa_miR_638 3,686.15 4,168.08 −0.1014 0.0031 0.0641 −0.1064 0.0017 0.0350
hsa_miR_642a_3p 3,880.94 4,192.71 −0.0802 0.0191 0.0657 −0.1002 0.0039 0.0350
hsa_miR_642b_3p 659.58 707.40 −0.0896 0.0096 0.0641 −0.1017 0.0033 0.0350
hsa_miR_6511b_5p 70.13 67.42 −0.0966 0.0051 0.0641 −0.1016 0.0031 0.0350
hsa_miR_6722_3p 98.64 103.55 −0.0867 0.0128 0.0641 −0.0912 0.0084 0.0350
hsa_miR_6724_5p 842.08 891.10 −0.0958 0.0051 0.0641 −0.0995 0.0044 0.0350
hsa_miR_718 103.79 115.55 −0.0897 0.0091 0.0641 −0.0960 0.0060 0.0350
hsa_miR_877_5p 39.26 39.14 −0.0839 0.0156 0.0641 −0.0973 0.0051 0.0350
hsa_miR_937_5p 658.60 673.28 −0.1139 0.0011 0.0641 −0.1061 0.0017 0.0350
hsa_miR_1249 34.36 34.94 −0.0915 0.0100 0.0641 −0.0912 0.0094 0.0357
hsa_miR_4632_5p 212.75 224.93 −0.0775 0.0254 0.0728 −0.0912 0.0095 0.0357
hsa_miR_4787_5p 1,109.55 1,394.63 −0.0815 0.0166 0.0641 −0.0904 0.0092 0.0357
hsa_miR_5787 1,928.96 2,138.52 −0.0709 0.0401 0.0919 −0.0926 0.0094 0.0357
hsa_miR_601 42.38 46.88 −0.0803 0.0184 0.0651 −0.0903 0.0091 0.0357
hsa_miR_1233_1_5p 178.73 198.48 −0.0727 0.0372 0.0888 −0.0902 0.0105 0.0367
hsa_miR_3656 2,793.88 2,941.93 −0.0991 0.0042 0.0641 −0.0871 0.0106 0.0367
hsa_miR_371b_5p 1,139.60 1,438.06 −0.0871 0.0107 0.0641 −0.0909 0.0102 0.0367
hsa_miR_4497 3,447.19 3,736.33 −0.0824 0.0179 0.0643 −0.0895 0.0100 0.0367
hsa_miR_4633_5p 7.36 7.84 0.1123 0.0011 0.0641 0.0897 0.0101 0.0367
hsa_miR_4687_3p 1,902.37 2,193.37 −0.0937 0.0063 0.0641 −0.0912 0.0105 0.0367
hsa_miR_5001_5p 968.46 1,138.75 −0.0955 0.0057 0.0641 −0.0871 0.0103 0.0367

Abbreviation: miRNA, micro RNA.

Table 3.

Differential miRNA expression between colon carcinoma and normal colonic mucosa uniquely associated with either sucrose or carbohydrate intake

miRNA Tumor Normal β p-value q-value

Mean Mean
Sucrose
hsa_miR_1229_3p 15.00 17.87 −0.0680 0.0454 0.0976
hsa_miR_1247_3p 27.62 26.20 −0.0738 0.0300 0.0797
hsa_miR_1273g_5p 9.21 10.05 0.0943 0.0064 0.0641
hsa_miR_155_5p 44.51 46.29 −0.0699 0.0422 0.0947
hsa_miR_181a_5p 34.21 24.91 −0.0778 0.0245 0.0726
hsa_miR_200a_5p 6.09 5.12 0.0795 0.0238 0.0723
hsa_miR_210 23.66 14.90 −0.0815 0.0165 0.0641
hsa_miR_2277_3p 3.86 5.01 0.0857 0.0125 0.0641
hsa_miR_302c_5p 2.70 2.40 0.0688 0.0473 0.0993
hsa_miR_3170 1.86 2.44 0.0888 0.0108 0.0641
hsa_miR_320b 82.25 80.23 −0.0765 0.0258 0.0728
hsa_miR_3614_5p 5.13 6.55 0.0715 0.0381 0.0894
hsa_miR_3648 331.00 274.75 −0.0767 0.0246 0.0726
hsa_miR_365b_5p 13.34 14.46 0.0704 0.0424 0.0947
hsa_miR_373_5p 17.58 18.43 −0.0718 0.0348 0.0871
hsa_miR_3976 2.15 1.11 0.0817 0.0177 0.0641
hsa_miR_4419a 69.63 66.94 −0.0728 0.0374 0.0888
hsa_miR_4448 9.30 9.04 0.0828 0.0174 0.0641
hsa_miR_4484 64.10 71.60 −0.0754 0.0261 0.0728
hsa_miR_4488 109.70 113.97 −0.0846 0.0110 0.0641
hsa_miR_4532 316.22 368.80 −0.0776 0.0256 0.0728
hsa_miR_4700_5p 1.34 0.96 0.0693 0.0459 0.0977
hsa_miR_4715_5p 4.40 5.06 0.0802 0.0208 0.0682
hsa_miR_4717_3p 3.67 3.39 0.0912 0.0082 0.0641
hsa_miR_4733_5p 67.07 69.46 −0.0753 0.0287 0.0780
hsa_miR_4793_3p 5.89 6.42 0.0815 0.0195 0.0666
hsa_miR_5003_3p 19.76 20.35 −0.0704 0.0408 0.0921
hsa_miR_602 44.22 47.11 −0.0707 0.0378 0.0892
hsa_miR_6069 18.95 19.15 −0.0674 0.0467 0.0989
hsa_miR_6075 209.46 246.60 −0.0713 0.0355 0.0873
hsa_miR_6134 3.05 3.18 0.0752 0.0293 0.0786
hsa_miR_659_5p 2.28 3.28 0.0862 0.0134 0.0641
Carbohydrate
hsa_miR_1291 5.62 3.31 0.0966 0.0053 0.0350
hsa_miR_129_5p 9.26 9.98 −0.0973 0.0048 0.0350
hsa_miR_1305 112.80 129.42 −0.0920 0.0081 0.0350
hsa_miR_30c_1_3p 10.17 11.17 −0.0911 0.0082 0.0350
hsa_miR_3198 165.30 171.97 −0.0927 0.0076 0.0350
hsa_miR_3945 43.34 47.78 −0.0938 0.0063 0.0350
hsa_miR_4459 20,580.45 24,456.49 −0.0951 0.0075 0.0350
hsa_miR_4470 34.38 40.65 −0.1108 0.0016 0.0350
hsa_miR_4499 376.55 430.33 −0.1030 0.0031 0.0350
hsa_miR_4656 182.68 185.98 −0.0909 0.0084 0.0350
hsa_miR_575 561.79 607.76 −0.1092 0.0014 0.0350
hsa_miR_6131 129.70 148.03 −0.0925 0.0071 0.0350
hsa_miR_1236_5p 186.86 188.18 −0.0908 0.0092 0.0357
hsa_miR_221_3p 11.21 2.53 0.0896 0.0093 0.0357
hsa_miR_3652 150.82 160.30 −0.0909 0.0093 0.0357
hsa_miR_769_3p 21.60 24.95 −0.0900 0.0091 0.0357
hsa_miR_4740_5p 31.44 33.08 −0.0898 0.0103 0.0367
hsa_miR_1288 50.64 56.68 −0.0896 0.0111 0.0374
hsa_miR_4730 6.40 5.81 0.0882 0.0119 0.0386
hsa_miR_4314 60.89 63.69 −0.0866 0.0135 0.0388
hsa_miR_4682 2.04 1.82 0.0873 0.0133 0.0388
hsa_miR_196b_5p 15.41 6.06 0.0833 0.0156 0.0410
hsa_miR_4462 328.28 365.23 −0.0829 0.0157 0.0410
hsa_miR_4716_3p 103.29 116.31 −0.0848 0.0153 0.0410
hsa_miR_3972 3.95 2.61 0.0841 0.0170 0.0420
hsa_miR_4739 913.21 1,025.15 −0.0858 0.0171 0.0420
hsa_miR_3925_5p 42.61 46.66 −0.0825 0.0184 0.0435
hsa_miR_4665_5p 59.37 61.84 −0.0836 0.0185 0.0435
hsa_miR_1207_5p 1,881.80 2,044.90 −0.0825 0.0191 0.0438
hsa_miR_378a_3p 112.01 146.82 −0.0806 0.0196 0.0438
hsa_miR_4701_3p 78.10 75.38 −0.0798 0.0201 0.0438
hsa_miR_4793_5p 225.94 220.22 −0.0787 0.0192 0.0438
hsa_miR_497_5p 1.21 5.89 0.0800 0.0196 0.0438
hsa_miR_5700 2.39 2.49 0.0806 0.0201 0.0438
hsa_miR_5581_5p 106.65 121.34 −0.0816 0.0206 0.0441
hsa_miR_4496 56.08 60.47 −0.0793 0.0213 0.0448
hsa_miR_3130_5p 11.48 11.83 0.0815 0.0219 0.0455
hsa_miR_4737 1.10 0.94 0.0797 0.0220 0.0455
hsa_miR_5194 54.57 60.38 −0.0799 0.0227 0.0466
hsa_miR_6129 78.07 86.34 −0.0788 0.0231 0.0469
hsa_miR_6717_5p 118.74 134.59 −0.0798 0.0236 0.0474
hsa_miR_4294 21.43 22.45 −0.0784 0.0239 0.0475
hsa_miR_4713_3p 229.14 258.22 −0.0785 0.0238 0.0475
hsa_miR_1307_5p 51.08 67.75 −0.0772 0.0241 0.0476
hsa_miR_3185 18.39 17.80 −0.0776 0.0253 0.0478
hsa_miR_4304 16.80 18.22 −0.0784 0.0247 0.0478
hsa_miR_4673 79.93 94.86 −0.0783 0.0252 0.0478
hsa_miR_494 15,260.32 15,700.29 −0.0771 0.0247 0.0478
hsa_miR_5088 47.41 55.74 −0.0795 0.0250 0.0478
hsa_miR_6515_3p 8.54 8.71 0.0793 0.0251 0.0478
hsa_miR_518c_5p 1.84 2.58 0.0791 0.0256 0.0479
hsa_miR_4646_5p 110.21 112.97 −0.0780 0.0263 0.0483
hsa_miR_378i 56.62 73.03 −0.0757 0.0276 0.0490
hsa_miR_887 53.78 63.17 −0.0765 0.0287 0.0500
hsa_miR_3679_5p 672.88 742.50 −0.0760 0.0291 0.0504
hsa_miR_345_3p 62.14 60.39 −0.0749 0.0295 0.0509
hsa_miR_3125 56.40 60.80 −0.0747 0.0305 0.0523
hsa_miR_191_3p 8.84 9.03 0.0749 0.0327 0.0542
hsa_miR_4508 48.75 57.69 −0.0752 0.0324 0.0542
hsa_miR_622 89.80 88.61 −0.0747 0.0323 0.0542
hsa_miR_4690_5p 164.97 209.18 −0.0736 0.0342 0.0560
hsa_miR_4419b 25.39 26.54 −0.0735 0.0354 0.0568
hsa_miR_4534 224.12 255.34 −0.0735 0.0355 0.0568
hsa_miR_4659b_3p 4.15 5.06 0.0750 0.0367 0.0583
hsa_miR_520e 11.01 14.21 −0.0736 0.0371 0.0585
hsa_miR_3150b_5p 14.06 19.14 −0.0731 0.0374 0.0587
hsa_miR_590_5p 1.93 2.43 0.0743 0.0380 0.0594
hsa_miR_4538 140.02 191.59 −0.0741 0.0393 0.0609
hsa_miR_1303 3.89 4.35 0.0708 0.0395 0.0610
hsa_miR_513c_5p 91.98 100.86 −0.0726 0.0398 0.0612
hsa_miR_339_3p 3.81 3.95 0.0725 0.0401 0.0613
hsa_miR_1470 4.48 5.86 0.0715 0.0409 0.0620
hsa_miR_550b_2_5p 37.51 39.99 −0.0712 0.0409 0.0620
hsa_miR_3195 892.68 1,067.06 −0.0697 0.0424 0.0635
hsa_miR_1208 29.73 32.93 −0.0704 0.0430 0.0639
hsa_miR_2276 101.73 96.46 −0.0715 0.0429 0.0639
hsa_miR_3200_5p 25.29 28.98 −0.0702 0.0441 0.0648
hsa_miR_4710 43.12 40.75 −0.0693 0.0446 0.0651
hsa_miR_500a_5p 20.68 23.85 −0.0694 0.0454 0.0658
hsa_miR_4535 67.37 72.01 −0.0690 0.0478 0.0687
hsa_miR_630 345.63 402.87 −0.0678 0.0486 0.0695
hsa_miR_4253 45.58 48.10 −0.0685 0.0494 0.0700
hsa_miR_452_5p 8.81 10.34 0.0683 0.0496 0.0700
hsa_miR_510 1.10 0.97 0.0674 0.0498 0.0700

Abbreviation: miRNA, micro RNA.

Table 4.

miRNA expression in normal colonic mucosa associated with whole grain intake

miRNA Tumor Normal β p-value q-value

Mean Mean
hsa_let_7b_5p 304.74 250.81 0.0844 0.0080 0.0722
hsa_miR_103a_3p 58.12 40.90 0.0771 0.0166 0.0919
hsa_miR_107 37.67 26.20 0.0746 0.0222 0.0988
hsa_miR_10a_3p 3.98 4.44 −0.0860 0.0096 0.0753
hsa_miR_1234_3p 40.56 47.47 0.0790 0.0162 0.0919
hsa_miR_1237_5p 6.52 7.50 −0.0905 0.0091 0.0742
hsa_miR_1254 19.24 21.91 −0.1183 0.0012 0.0536
hsa_miR_125a_5p 11.66 9.00 0.0713 0.0213 0.0981
hsa_miR_1260a 317.07 341.64 0.0973 0.0020 0.0536
hsa_miR_1260b 125.83 98.87 0.0858 0.0089 0.0742
hsa_miR_1261 3.20 4.23 −0.1051 0.0021 0.0536
hsa_miR_1273d 27.61 28.00 0.0847 0.0108 0.0790
hsa_miR_1273f 261.20 268.96 0.0752 0.0196 0.0943
hsa_miR_1273g_3p 2,181.39 2,647.15 0.1032 0.0027 0.0536
hsa_miR_1291 5.62 3.31 −0.0791 0.0160 0.0919
hsa_miR_1295a 9.30 10.75 −0.1146 0.0018 0.0536
hsa_miR_1303 3.89 4.35 −0.0951 0.0031 0.0536
hsa_miR_1323 6.54 7.09 −0.0755 0.0194 0.0943
hsa_miR_141_3p 38.27 28.27 0.0869 0.0078 0.0722
hsa_miR_145_5p 116.51 184.46 0.0760 0.0143 0.0903
hsa_miR_192_5p 81.69 123.55 0.0895 0.0079 0.0722
hsa_miR_194_3p 5.56 6.87 0.1202 0.0005 0.0536
hsa_miR_194_5p 79.56 107.89 0.0996 0.0031 0.0536
hsa_miR_1972 113.21 113.89 0.0873 0.0090 0.0742
hsa_miR_197_3p 13.39 14.16 0.0799 0.0170 0.0919
hsa_miR_200b_3p 141.48 120.08 0.0819 0.0142 0.0903
hsa_miR_200c_3p 128.38 103.59 0.0988 0.0038 0.0581
hsa_miR_215 38.97 64.59 0.0799 0.0155 0.0919
hsa_miR_23b_3p 59.36 57.72 0.0754 0.0209 0.0973
hsa_miR_24_3p 89.32 52.20 0.0800 0.0136 0.0903
hsa_miR_28_5p 1.36 1.91 0.0741 0.0145 0.0903
hsa_miR_30b_3p 5.46 4.85 −0.1061 0.0023 0.0536
hsa_miR_30d_5p 30.09 27.11 0.0851 0.0063 0.0722
hsa_miR_3163 9.39 9.74 −0.1131 0.0010 0.0536
hsa_miR_3173_3p 8.76 8.51 −0.1031 0.0026 0.0536
hsa_miR_320d 42.91 39.97 0.0772 0.0174 0.0919
hsa_miR_320e 37.87 36.13 0.0765 0.0209 0.0973
hsa_miR_339_3p 3.81 3.95 −0.0858 0.0087 0.0742
hsa_miR_3605_5p 14.36 14.33 −0.0985 0.0063 0.0722
hsa_miR_3614_5p 5.13 6.55 −0.0918 0.0069 0.0722
hsa_miR_3617_5p 4.71 5.20 −0.0777 0.0180 0.0919
hsa_miR_3651 50.76 21.67 0.0881 0.0094 0.0752
hsa_miR_3659 12.37 12.99 −0.0919 0.0075 0.0722
hsa_miR_3666 18.85 20.61 −0.1040 0.0031 0.0536
hsa_miR_3680_3p 7.44 6.56 −0.0879 0.0089 0.0742
hsa_miR_3713 6.29 6.87 −0.0787 0.0172 0.0919
hsa_miR_375 15.73 42.48 0.1002 0.0029 0.0536
hsa_miR_378a_3p 112.01 146.82 0.0830 0.0135 0.0903
hsa_miR_378c 6.82 7.25 −0.1000 0.0033 0.0536
hsa_miR_378i 56.62 73.03 0.0746 0.0207 0.0973
hsa_miR_3926 34.69 33.62 0.0777 0.0219 0.0987
hsa_miR_4260 8.28 7.84 −0.1340 0.0011 0.0536
hsa_miR_4261 17.42 16.92 0.0762 0.0231 0.0988
hsa_miR_4284 1,257.36 1,195.39 0.0895 0.0061 0.0722
hsa_miR_4286 1,057.76 1,096.92 0.1091 0.0009 0.0536
hsa_miR_4316 5.73 7.66 −0.0921 0.0054 0.0717
hsa_miR_4418 5.37 5.37 −0.0919 0.0057 0.0717
hsa_miR_4425 9.73 10.92 −0.1217 0.0006 0.0536
hsa_miR_4436a 4.75 5.23 −0.0806 0.0145 0.0903
hsa_miR_4436b_3p 7.66 7.03 −0.0794 0.0171 0.0919
hsa_miR_4436b_5p 19.16 23.14 0.0753 0.0226 0.0988
hsa_miR_4444 9.63 8.77 −0.0969 0.0043 0.0626
hsa_miR_4446_3p 12.28 15.26 −0.0830 0.0144 0.0903
hsa_miR_4454 41,752.17 43,243.72 0.1086 0.0009 0.0536
hsa_miR_4455 72.03 70.07 0.0783 0.0171 0.0919
hsa_miR_4485 1,034.22 1,284.96 0.0910 0.0075 0.0722
hsa_miR_4489 11.85 12.56 −0.1249 0.0006 0.0536
hsa_miR_4502 17.43 19.16 −0.0867 0.0110 0.0790
hsa_miR_4510 6.03 6.45 −0.0832 0.0113 0.0798
hsa_miR_4519 8.59 8.71 −0.1052 0.0020 0.0536
hsa_miR_4526 3.59 4.36 −0.0912 0.0051 0.0708
hsa_miR_452_5p 8.81 10.34 −0.0901 0.0078 0.0722
hsa_miR_4660 5.17 5.04 −0.0830 0.0118 0.0819
hsa_miR_4684_3p 2.88 3.29 −0.0751 0.0231 0.0988
hsa_miR_4691_5p 11.56 12.49 −0.1010 0.0032 0.0536
hsa_miR_4748 5.83 6.27 −0.0765 0.0179 0.0919
hsa_miR_4750_5p 8.69 6.66 −0.0790 0.0183 0.0923
hsa_miR_4755_3p 6.86 7.81 −0.1098 0.0011 0.0536
hsa_miR_4773 8.16 9.29 −0.0771 0.0217 0.0987
hsa_miR_486_5p 16.64 21.50 0.0792 0.0186 0.0927
hsa_miR_500a_3p 2.93 2.96 −0.0797 0.0162 0.0919
hsa_miR_5093 3.64 3.86 −0.0750 0.0227 0.0988
hsa_miR_5096 52.50 51.07 0.1018 0.0028 0.0536
hsa_miR_509_5p 7.11 8.08 −0.1400 0.0002 0.0536
hsa_miR_5100 3,645.51 4,386.60 0.1074 0.0012 0.0536
hsa_miR_516a_5p 27.00 29.72 −0.1258 0.0011 0.0536
hsa_miR_518a_5p 4.60 5.94 −0.0780 0.0190 0.0936
hsa_miR_5195_5p 8.30 8.56 −0.0842 0.0110 0.0790
hsa_miR_550a_5p 7.64 8.54 −0.0866 0.0109 0.0790
hsa_miR_5572 7.65 8.28 −0.1117 0.0011 0.0536
hsa_miR_5685 1.93 2.93 −0.0762 0.0172 0.0919
hsa_miR_6083 30.20 37.23 0.0839 0.0102 0.0786
hsa_miR_659_3p 11.22 11.27 −0.0969 0.0057 0.0717
hsa_miR_6716_5p 5.41 5.25 −0.1045 0.0015 0.0536
hsa_miR_6718_5p 7.76 7.68 −0.0924 0.0072 0.0722
hsa_miR_708_5p 9.33 10.69 −0.0954 0.0067 0.0722
hsa_miR_711 20.37 18.07 −0.0806 0.0177 0.0919
hsa_miR_770_5p 5.58 6.29 −0.0910 0.0079 0.0722
hsa_miR_92a_3p 94.06 35.74 0.0772 0.0171 0.0919

Abbreviation: miRNA, micro RNA.

Associations with miRNAs were similar for all indicators of NSAIDs use and for both normal colonic mucosa and differential miRNA expression between carcinoma and normal colonic mucosa. Table 5 shows the top 85 of the 135 miRNAs differentially expressed in normal colonic mucosa by recent NSAID use versus no recent NSAID use. OBS was only associated with miRNA expression for rectal tissue (Table 6 for top dysregulated miRNAs); 137 miRNAs were differentially expressed between rectal carcinoma and paired normal rectal mucosa based on OBS level.

Table 5.

miRNA expression in normal colonic mucosa associated with recent NSAIDs use

miRNA No recent use
Recent use
β p-value q-value
Tumor Normal Tumor Normal


Mean Mean Mean Mean
hsa_miR_1185_1_3p 396.08 442.93 414.35 413.20 −0.16 0.0114 0.0845
hsa_miR_1185_2_3p 136.55 150.38 147.62 139.56 −0.15 0.0182 0.0845
hsa_miR_1225_3p 17.01 19.03 16.84 17.73 −0.17 0.0112 0.0845
hsa_miR_1227_5p 976.85 1,110.48 949.54 1,030.83 −0.16 0.0121 0.0845
hsa_miR_1228_3p 34.12 35.62 33.55 33.29 −0.16 0.0163 0.0845
hsa_miR_1229_5p 659.51 722.70 692.39 665.34 −0.15 0.0179 0.0845
hsa_miR_1233_1_5p 180.18 202.49 176.16 190.91 −0.18 0.0081 0.0845
hsa_miR_1268b 1,303.23 1,289.54 1,295.27 1,189.93 −0.17 0.0077 0.0845
hsa_miR_129_5p 9.32 10.23 9.18 9.50 −0.18 0.0065 0.0845
hsa_miR_150_3p 256.88 283.63 266.29 266.67 −0.16 0.0140 0.0845
hsa_miR_1587 1,352.23 1,428.35 1,312.10 1,337.13 −0.16 0.0140 0.0845
hsa_miR_195_3p 1.05 0.97 1.23 1.12 0.17 0.0106 0.0845
hsa_miR_196a_5p 6.01 3.56 6.23 3.86 0.17 0.0115 0.0845
hsa_miR_197_5p 3,005.55 3,430.32 3,033.62 3,151.71 −0.17 0.0097 0.0845
hsa_miR_2392 228.38 235.42 229.30 214.90 −0.16 0.0170 0.0845
hsa_miR_2861 5,626.17 6,628.80 5,494.23 6,135.84 −0.17 0.0096 0.0845
hsa_miR_28_3p 1.36 1.47 1.36 1.63 0.16 0.0178 0.0845
hsa_miR_3141 217.64 209.30 230.06 194.84 −0.18 0.0089 0.0845
hsa_miR_3147 36.50 35.54 37.03 33.73 −0.17 0.0126 0.0845
hsa_miR_3185 18.46 18.12 18.28 17.20 −0.16 0.0169 0.0845
hsa_miR_3188 217.86 253.49 220.57 235.46 −0.16 0.0167 0.0845
hsa_miR_3197 29.37 31.66 29.82 30.16 −0.17 0.0155 0.0845
hsa_miR_3591_3p 1.34 1.29 1.40 1.40 0.18 0.0080 0.0845
hsa_miR_3648 326.34 281.62 339.96 261.57 −0.18 0.0080 0.0845
hsa_miR_3656 2,807.67 3,026.73 2,776.46 2,782.58 −0.16 0.0133 0.0845
hsa_miR_3665 3,199.26 3,688.47 3,103.18 3,381.05 −0.18 0.0053 0.0845
hsa_miR_3679_5p 673.97 761.63 671.02 706.29 −0.17 0.0101 0.0845
hsa_miR_371b_5p 1,170.13 1,490.03 1,085.20 1,339.67 −0.22 0.0010 0.0845
hsa_miR_3911 96.51 89.05 99.12 84.30 −0.18 0.0075 0.0845
hsa_miR_3917 97.60 99.91 97.40 94.78 −0.17 0.0087 0.0845
hsa_miR_3923 0.58 1.32 0.80 1.65 0.18 0.0072 0.0845
hsa_miR_3940_5p 760.89 864.96 743.30 799.19 −0.17 0.0106 0.0845
hsa_miR_423_5p 53.16 58.48 54.22 54.85 −0.22 0.0012 0.0845
hsa_miR_4257 337.07 372.94 325.74 340.76 −0.19 0.0056 0.0845
hsa_miR_4271 276.36 295.46 280.32 276.17 −0.16 0.0140 0.0845
hsa_miR_4281 3,828.07 4,117.96 3,928.63 3,793.36 −0.16 0.0172 0.0845
hsa_miR_4298 183.19 168.33 191.21 157.16 −0.19 0.0052 0.0845
hsa_miR_4306 24.83 23.12 25.54 22.04 −0.18 0.0103 0.0845
hsa_miR_4322 108.18 102.21 108.10 95.91 −0.18 0.0088 0.0845
hsa_miR_4327 248.12 251.53 256.93 233.14 −0.18 0.0061 0.0845
hsa_miR_4417 211.11 191.02 221.11 179.36 −0.15 0.0182 0.0845
hsa_miR_4419a 68.39 68.52 72.01 63.97 −0.17 0.0091 0.0845
hsa_miR_4433_3p 294.45 316.29 302.33 289.43 −0.16 0.0103 0.0845
hsa_miR_4433_5p 19.68 20.35 19.09 18.90 −0.17 0.0162 0.0845
hsa_miR_4447 14.11 15.79 14.69 14.63 −0.18 0.0057 0.0845
hsa_miR_4466 1,784.94 1,996.87 1,780.90 1,849.17 −0.16 0.0182 0.0845
hsa_miR_4479 1.92 2.27 2.19 2.54 0.17 0.0167 0.0845
hsa_miR_4486 180.46 191.15 174.64 178.73 −0.18 0.0073 0.0845
hsa_miR_4488 111.67 117.23 106.27 107.89 −0.17 0.0095 0.0845
hsa_miR_4505 3,082.72 3,378.63 2,949.31 3,173.69 −0.17 0.0143 0.0845
hsa_miR_4507 1,847.97 2,105.80 1,776.12 1,963.15 −0.17 0.0118 0.0845
hsa_miR_4532 319.46 378.39 310.60 350.83 −0.16 0.0167 0.0845
hsa_miR_4669 349.43 374.17 355.47 348.03 −0.17 0.0155 0.0845
hsa_miR_4690_5p 166.05 213.24 163.22 201.57 −0.16 0.0165 0.0845
hsa_miR_4695_5p 359.45 392.74 352.89 372.91 −0.17 0.0112 0.0845
hsa_miR_4700_3p 1.29 1.53 2.24 2.85 0.25 <0.0001 0.0845
hsa_miR_4734 192.44 211.44 184.33 196.97 −0.17 0.0120 0.0845
hsa_miR_4763_3p 1,335.39 1,438.92 1,346.77 1,333.66 −0.16 0.0165 0.0845
hsa_miR_4787_5p 1,138.11 1,440.10 1,058.08 1,308.81 −0.21 0.0018 0.0845
hsa_miR_4800_5p 186.25 167.82 201.33 158.36 −0.17 0.0131 0.0845
hsa_miR_498 25.41 28.61 25.97 26.90 −0.17 0.0131 0.0845
hsa_miR_5001_5p 990.75 1,177.94 928.90 1,065.39 −0.22 0.0013 0.0845
hsa_miR_514b_5p 32.51 32.24 33.75 30.55 −0.17 0.0102 0.0845
hsa_miR_5189 33.44 34.64 33.18 33.00 −0.16 0.0144 0.0845
hsa_miR_5196_5p 75.47 67.46 77.74 63.88 −0.17 0.0107 0.0845
hsa_miR_572 448.42 524.02 430.84 486.13 −0.16 0.0176 0.0845
hsa_miR_590_5p 1.89 2.25 1.92 2.74 0.20 0.0043 0.0845
hsa_miR_6068 2,337.20 2,750.48 2,254.49 2,536.41 −0.18 0.0064 0.0845
hsa_miR_6075 2,14.34 254.50 200.64 231.62 −0.23 0.0007 0.0845
hsa_miR_6086 346.89 377.05 359.93 345.16 −0.19 0.0061 0.0845
hsa_miR_6088 3,169.09 3,495.65 3,177.39 3,219.68 −0.17 0.0105 0.0845
hsa_miR_6089 28,714.26 33,589.79 28,275.38 31,010.21 −0.16 0.0157 0.0845
hsa_miR_6125 9,092.99 11,058.09 8,810.33 10,118.16 −0.20 0.0024 0.0845
hsa_miR_6126 603.41 713.44 599.82 671.34 −0.16 0.0170 0.0845
hsa_miR_6127 1,375.55 1,531.09 1,385.68 1,425.00 −0.18 0.0062 0.0845
hsa_miR_6165 359.86 332.79 380.59 311.21 −0.17 0.0131 0.0845
hsa_miR_623 45.99 49.99 45.50 46.77 −0.18 0.0072 0.0845
hsa_miR_6511a_5p 47.59 44.90 46.82 42.60 −0.16 0.0171 0.0845
hsa_miR_670 1.22 1.53 1.76 1.77 0.16 0.0175 0.0845
hsa_miR_671_5p 259.87 299.18 266.28 278.64 −0.16 0.0150 0.0845
hsa_miR_6724_5p 843.41 914.95 839.90 845.93 −0.18 0.0083 0.0845
hsa_miR_765 42.12 41.45 43.68 39.09 −0.18 0.0060 0.0845
hsa_miR_874 204.36 226.29 202.36 212.98 −0.19 0.0043 0.0845
hsa_miR_937_5p 660.48 689.07 657.22 643.64 −0.16 0.0116 0.0845
hsa_miR_939_5p 642.45 703.34 628.40 648.33 −0.18 0.0046 0.0845
hsa_miR_320a 99.91 102.52 101.43 97.48 −0.16 0.0189 0.0867
hsa_miR_1183 63.53 65.28 63.11 62.42 −0.16 0.0201 0.0872
hsa_miR_1207_5p 1,878.63 2,100.91 1,890.05 1,940.24 −0.15 0.0209 0.0872
hsa_miR_1226_5p 52.30 56.08 53.73 52.71 −0.15 0.0210 0.0872
hsa_miR_1915_3p 2,957.00 3,531.48 2,930.60 3,282.81 −0.15 0.0210 0.0872
hsa_miR_3621 36.35 39.02 36.09 36.99 −0.16 0.0210 0.0872
hsa_miR_4314 60.70 64.77 61.42 61.71 −0.15 0.0198 0.0872
hsa_miR_4707_5p 95.66 100.51 94.84 93.87 −0.15 0.0199 0.0872
hsa_miR_6069 18.92 19.58 19.01 18.32 −0.16 0.0202 0.0872
hsa_miR_6511b_5p 70.44 68.60 69.78 65.25 −0.15 0.0202 0.0872
hsa_miR_1181 218.07 244.37 226.56 231.00 −0.16 0.0221 0.0888
hsa_miR_1234_5p 4,635.89 5,342.62 4,700.32 4,968.38 −0.15 0.0232 0.0888
hsa_miR_3170 1.81 2.40 1.94 2.51 0.16 0.0242 0.0888
hsa_miR_365a_5p 25.42 26.06 25.19 24.84 −0.15 0.0239 0.0888
hsa_miR_4315 0.07 2.10 0.25 2.42 0.16 0.0243 0.0888
hsa_miR_4442 283.26 299.26 297.28 282.82 −0.15 0.0220 0.0888
hsa_miR_4672 827.58 883.29 794.89 831.14 −0.15 0.0238 0.0888
hsa_miR_4706 17.89 17.95 17.83 17.30 −0.15 0.0229 0.0888
hsa_miR_4745_5p 260.36 297.48 264.24 279.82 −0.15 0.0241 0.0888
hsa_miR_4767 26.01 28.99 26.52 27.00 −0.15 0.0221 0.0888
hsa_miR_6076 249.40 277.34 250.34 261.52 −0.16 0.0224 0.0888
hsa_miR_663a 409.92 278.30 433.93 261.51 −0.15 0.0240 0.0888
hsa_miR_6722_3p 98.16 106.16 99.81 98.69 −0.15 0.0228 0.0888
hsa_miR_1208 29.68 33.39 29.87 32.06 −0.15 0.0250 0.0897
hsa_miR_638 3,709.77 4,267.16 3,653.32 3,982.11 −0.15 0.0250 0.0897

Abbreviations: miRNA, micro RNA; NSAIDs, nonsteroidal anti-inflammatory drugs.

Table 6.

Rectal cancer differential miRNA expression between carcinoma and normal rectal mucosa associated with OBS

miRNA Low
Q2
Q3
High
β p-value q-value
Tumor Normal Tumor Normal Tumor Normal Tumor Normal

Mean Mean Mean Mean Mean Mean Mean Mean
hsa_miR_106b_5p 12.71 3.43 11.09 3.00 13.24 3.13 13.87 3.24 0.10 0.015 0.0748
hsa_miR_1183 57.93 56.90 55.82 59.18 55.29 57.24 55.26 58.99 −0.09 0.0124 0.0748
hsa_miR_1202 1,148.16 1,137.83 1,094.67 1,255.86 1,059.69 1,180.33 1,101.84 1,276.40 −0.11 0.0049 0.0748
hsa_miR_1207_5p 1,539.78 1,681.81 1,473.82 1,870.36 1,399.16 1,714.49 1,455.64 1,792.49 −0.09 0.0213 0.0748
hsa_miR_1234_5p 3,735.98 4,230.54 3,564.89 4,536.04 3,362.81 4,236.96 3,549.80 4,499.46 −0.09 0.0203 0.0748
hsa_miR_126_3p 13.82 13.46 14.19 13.43 15.97 13.18 17.38 13.39 0.11 0.004 0.0748
hsa_miR_1275 586.07 640.38 561.24 722.57 526.32 673.33 539.49 711.07 −0.10 0.0084 0.0748
hsa_miR_134 216.89 238.07 209.35 259.08 200.11 240.91 206.40 251.41 −0.09 0.0225 0.0748
hsa_miR_135a_3p 135.39 147.31 126.90 149.81 124.85 150.89 125.52 153.09 −0.10 0.0125 0.0748
hsa_miR_138_2_3p 5.24 6.19 5.63 5.52 5.71 5.82 6.18 5.95 0.11 0.0053 0.0748
hsa_miR_1471 165.81 183.08 159.25 195.46 150.04 182.99 161.60 219.81 −0.10 0.0086 0.0748
hsa_miR_200a_5p 6.04 4.90 6.45 4.31 6.38 4.45 6.81 4.38 0.11 0.0056 0.0748
hsa_miR_215 43.09 62.38 38.57 55.61 44.92 58.67 46.40 55.97 0.10 0.0099 0.0748
hsa_miR_2276 93.32 84.53 88.94 86.76 88.26 85.53 90.51 89.73 −0.09 0.0156 0.0748
hsa_miR_3135b 430.17 460.54 417.24 483.00 408.83 467.76 404.70 472.46 −0.09 0.0212 0.0748
hsa_miR_3138 62.94 66.48 61.35 69.57 58.39 66.75 61.50 72.66 −0.10 0.0106 0.0748
hsa_miR_3141 193.39 169.59 183.86 180.15 177.63 172.04 185.06 178.89 −0.09 0.0196 0.0748
hsa_miR_3150b_3p 1.77 1.72 2.50 1.58 2.38 1.49 2.63 1.09 0.12 0.0027 0.0748
hsa_miR_3195 759.99 899.09 722.37 914.86 681.46 900.11 708.87 942.07 −0.10 0.0088 0.0748
hsa_miR_320c 151.24 155.10 139.99 183.66 134.47 173.06 142.97 203.22 −0.12 0.0026 0.0748
hsa_miR_345_3p 51.06 47.48 48.74 51.42 46.23 47.27 49.63 51.55 −0.09 0.0175 0.0748
hsa_miR_3622b_3p 2.07 1.15 1.60 0.89 2.52 0.71 1.92 0.46 0.11 0.0057 0.0748
hsa_miR_3660 3.65 3.85 3.92 3.64 3.88 3.45 3.90 3.42 0.10 0.0111 0.0748
hsa_miR_3663_3p 127.73 136.18 122.73 144.56 118.88 142.37 120.45 149.26 −0.11 0.0038 0.0748
hsa_miR_3667_5p 20.38 20.81 19.63 23.34 18.59 22.91 19.58 25.88 −0.12 0.0023 0.0748
hsa_miR_3676_5p 3,259.89 3,130.99 2,810.34 2,948.81 2,963.05 3,084.49 2,760.10 2,921.68 −0.09 0.024 0.0748
hsa_miR_3945 37.95 42.59 37.48 45.93 35.96 44.61 37.22 48.01 −0.10 0.0117 0.0748
hsa_miR_3960 8,167.42 8,562.89 7,843.76 9,715.45 7,369.85 8,884.25 7,907.71 9,999.93 −0.09 0.0185 0.0748
hsa_miR_4270 394.51 389.95 378.71 417.22 361.86 397.35 377.73 425.26 −0.11 0.0057 0.0748
hsa_miR_4317 1.80 1.05 2.07 0.76 2.21 0.62 2.00 0.84 0.10 0.016 0.0748
hsa_miR_4425 10.32 11.70 10.92 11.70 10.77 11.82 11.06 11.43 0.09 0.0183 0.0748
hsa_miR_4429 23.18 22.00 21.56 23.20 20.28 22.05 22.23 23.42 −0.10 0.0099 0.0748
hsa_miR_4459 18,407.67 21,996.85 17,732.08 23,874.45 16,907.97 23,689.13 17,443.91 24,811.06 −0.10 0.0115 0.0748
hsa_miR_4476 61.75 64.72 59.36 67.13 57.54 66.43 60.05 69.97 −0.10 0.0102 0.0748
hsa_miR_4484 60.87 63.18 56.16 64.10 55.79 63.11 57.17 66.04 −0.09 0.0235 0.0748
hsa_miR_4508 45.27 54.18 42.90 54.98 40.93 53.04 42.33 55.39 −0.09 0.0235 0.0748
hsa_miR_4516 12,859.39 14,765.57 12,208.17 16,233.84 11,758.21 15,345.88 12,308.14 16,542.65 −0.11 0.0044 0.0748
hsa_miR_4534 186.77 207.00 179.24 219.34 169.13 209.22 182.00 231.13 −0.09 0.0213 0.0748
hsa_miR_4634 261.48 284.84 251.85 313.20 239.29 300.46 247.34 336.48 −0.12 0.0029 0.0748
hsa_miR_4655_5p 28.98 28.13 27.79 30.28 26.73 28.36 28.74 30.61 −0.09 0.0221 0.0748
hsa_miR_4689 109.63 101.83 104.67 110.46 100.56 103.75 106.31 112.06 −0.10 0.0107 0.0748
hsa_miR_4709_3p 1.12 1.28 1.57 1.01 1.40 1.10 1.50 1.05 0.09 0.0242 0.0748
hsa_miR_4739 756.23 852.13 735.58 934.44 703.38 876.68 725.94 916.12 −0.09 0.024 0.0748
hsa_miR_4767 25.36 27.24 24.33 27.67 23.66 27.15 23.14 27.98 −0.09 0.0197 0.0748
hsa_miR_4768_3p 2.87 3.64 3.25 3.37 3.43 3.31 3.47 3.56 0.10 0.014 0.0748
hsa_miR_4783_3p 11.69 13.14 11.56 13.93 10.87 13.27 11.44 14.63 −0.09 0.0246 0.0748
hsa_miR_4787_3p 87.24 100.63 84.74 101.87 77.10 96.98 81.83 105.01 −0.10 0.0158 0.0748
hsa_miR_4792 21.93 22.99 21.38 22.56 20.25 22.61 21.27 23.81 −0.09 0.0193 0.0748
hsa_miR_4800_5p 189.78 151.55 177.22 156.88 177.34 154.11 177.96 158.70 −0.10 0.0125 0.0748
hsa_miR_483_5p 106.80 89.08 99.14 94.34 98.44 91.77 102.22 96.52 −0.09 0.0226 0.0748
hsa_miR_512_3p 9.99 11.50 9.59 10.68 9.67 10.89 10.15 10.60 0.10 0.0079 0.0748
hsa_miR_518c_5p 1.36 2.04 1.73 1.87 1.78 1.55 2.10 1.99 0.09 0.0177 0.0748
hsa_miR_5195_3p 138.45 142.76 131.18 149.95 125.68 143.20 131.49 150.95 −0.09 0.0178 0.0748
hsa_miR_525_5p 1.38 1.41 1.94 1.80 1.65 1.36 2.36 1.49 0.10 0.0102 0.0748
hsa_miR_5580_3p 10.61 11.28 10.80 10.84 10.79 11.08 10.84 10.85 0.11 0.0043 0.0748
hsa_miR_5585_3p 315.49 306.63 310.14 309.20 305.59 305.96 294.30 311.32 −0.09 0.0221 0.0748
hsa_miR_5703 207.72 265.79 207.86 312.71 185.76 305.53 200.05 363.43 −0.09 0.0243 0.0748
hsa_miR_5787 1,616.14 1,778.11 1,552.86 1,982.27 1,448.39 1,915.68 1,489.32 2,116.47 −0.12 0.0018 0.0748
hsa_miR_601 37.10 39.13 34.70 41.09 34.18 40.12 35.64 41.07 −0.09 0.0232 0.0748
hsa_miR_6085 580.90 584.83 559.94 631.04 546.52 603.35 563.01 638.08 −0.10 0.0088 0.0748
hsa_miR_6087 13,089.85 14,902.63 12,300.31 15,684.35 11,770.32 15,080.69 12,590.52 15,866.09 −0.09 0.0188 0.0748
hsa_miR_6088 2,478.37 2,649.04 2,371.03 2,878.27 2,188.64 2,626.39 2,373.45 2,823.12 −0.09 0.0244 0.0748
hsa_miR_6090 4,618.18 5,049.31 4,401.44 5,582.73 4,096.36 5,193.18 4,462.14 5,805.83 −0.11 0.0046 0.0748
hsa_miR_6124 448.21 420.35 424.87 454.58 406.85 435.30 438.91 474.68 −0.10 0.0138 0.0748
hsa_miR_630 291.06 381.14 289.74 458.60 261.19 438.12 275.15 510.63 −0.09 0.0175 0.0748
hsa_miR_642a_3p 3,285.09 3,486.19 3,239.54 3,762.13 3,040.61 3,625.40 3,190.24 3,892.74 −0.09 0.021 0.0748
hsa_miR_6500_5p 15.46 17.28 14.61 16.89 14.28 17.34 14.60 17.85 −0.10 0.0097 0.0748
hsa_miR_652_3p 1.45 0.78 1.45 0.88 2.24 0.67 1.72 0.62 0.09 0.0204 0.0748
hsa_miR_671_3p 0.71 1.07 0.77 0.86 0.92 0.98 0.99 0.99 0.09 0.0197 0.0748
hsa_miR_6722_3p 82.02 85.64 78.46 92.24 73.78 85.08 79.56 91.22 −0.09 0.0239 0.0748
hsa_miR_6723_5p 108.28 110.46 104.38 117.18 102.39 113.55 105.10 120.56 −0.11 0.0032 0.0748
hsa_miR_718 87.83 97.01 84.47 101.62 80.61 99.43 84.62 106.95 −0.11 0.0053 0.0748
hsa_miR_769_3p 15.91 18.80 15.66 19.78 14.77 18.84 15.64 20.19 −0.11 0.0064 0.0748
hsa_miR_940 611.90 774.01 603.08 766.65 592.77 773.30 559.65 809.99 −0.09 0.0204 0.0748

Abbreviations: miRNA, micro RNA; OBS, oxidative balance score; Q, quartile.

Discussion

We assessed 34 diet and lifestyle variables with miRNA expression levels in colorectal tissue and observed that only five of these factors altered miRNA expression level after adjusting for multiple comparisons (FDR q-value <0.1). These variables fell into two categories: 1) dietary carbohydrate, sucrose, and whole grains that could be operating through an insulin-related pathway and 2) NSAIDs and OBS that could be influencing miRNA expression level because of their role in inflammation and oxidative stress. Although others have suggested that diet and lifestyle factors could alter disease risk through their impact on miRNA expression,13,30 we have been able to test this hypothesis broadly within a large population-based study with detailed diet and lifestyle data along with miRNA expression data.

In evaluating these results, there are several considerations, such as miRNA expression in this study is from colorectal carcinoma and normal colorectal mucosa, and miRNA expression could be different in other tissue types. Perhaps the largest limitation of the study relates to the interpretation of results. While we can show that factors such as carbohydrate intake are associated with miRNA expression after adjustment for multiple comparisons, it is much more difficult to determine the specific biological mechanism associated with alteration in miRNA expression. For instance, the 250 miRNAs differentially expressed by level of carbohydrate intake are associated with 7,152 unique validated target genes. It is difficult to determine the relative importance of the multitude of pathways associated with these genes that relate specifically with carbohydrate intake. However, we can say that some lifestyle factors do influence miRNA expression levels, giving credence to reports of these factors in disease processes. We have also compared our current findings to our previous findings from these data for miRNAs that were differentially expressed between carcinoma and normal colorectal mucosa.23,31 We observed that 223 of the 250 miRNAs associated with carbohydrate intake, 175 of the 198 miRNAs associated with sucrose intake, 75 of the 99 miRNAs associated with whole grain intake, 121 of the 135 miRNAs associated with recent NSAID use, and 116 of the 137 miRNAs associated with OBS were also differentially expressed between carcinoma and normal colorectal mucosa, suggesting a role in tumor development.

Dietary factors have been cited as being important regulators of miRNAs.9,30 Studies have primarily been done in mice and have focused on targeted miRNAs. Reported associations have been found between dietary folate and let-7a, miR-21, miR-23, miR-130, miR-190, miR-17-92, and miR-122 in liver samples and between retinoic acid and let-7a, miR-15a/miR-16-1, and miR-23 in acute promyelocytic leukemia.9 Others have reported associations between miRNAs and polyphenols such as the antioxidant resveratrol with miR-663, miR-155, miR-21, miR-181b, and miR-30c2 in breast tissue cells.32 We did not replicate these findings. In a review by Garcia-Segura et al,30 carbohydrates were cited as being associated with miR-29c and miR-21. In our study, miR-21-3p was associated with carbohydrates. One controlled study using colorectal cells showed that starch consumption upregulated expression of the miR-17-92 cluster.33 We did not see associations within this miR cluster. Sucrose was associated with dysregulated miRNAs in a similar manner that carbohydrate intake was associated with miRNA expression. It has been proposed that sucrose metabolism downregulates expression of miR-15634 and that miR-398 and miR-408 are responsive to sucrose levels.35 Again, we did not see associations between these miRNAs and dietary sucrose level in our data. Although there was overlap of nine miRNAs that differentially expressed by level of carbohydrate intake and by level of whole grain intake, the direction of the associations was different.

NSAIDs have been examined with miRNAs in a few studies. Celecoxib has been associated with miR-222 levels in breast tissue in mice,36 and miR-271 has been associated with an NSAID and reactive oxygen species pathway.11 Other studies have focused on COX-2 expression and miRNAs and have shown that miR-101a and miR-199a are associated with higher COX-2 expression and that miR-10b and miR-21 had a high influence on Cox-2 expression. None of these miRNAs were associated with recent NSAID use in our study population, although miR-199a was associated with ever using NSAIDs.

Inflammation and oxidative stress are key elements in the CRC carcinogenic process. We developed an OBS to account for dietary and lifestyle factors that could act together to influence CRC risk.18 Oxidative stress also has been examined with miRNA expression in a limited number of studies.10 miR-200a has been associated with oxidative stress in breast cells; miR-155 has been linked to inflammatory and oxidative stress pathways; miR-21, miR-125b, miR-196, and miR-210 have been linked to inflammatory cytokines and signaling pathways.10 Others have cited miR-181a, miR-205, miR-1, miR-21, miR-24, miR-25, miR-185, miR-214, miR-133, miR-145, and miR-495 as being modulated by reactive oxygen species.37 Of these, only miR-200a-5p was associated with OBS in our data.

While we have found associations between a limited number of diet and lifestyle factors and miRNA expression levels, we have failed to replicate other findings that have been cited in the literature. These differences could stem from several sources, the primary reason being our study is the only study conducted in humans, while others have relied on mouse models and cell lines and were usually conducted in noncolorectal tissue. Additionally, while others have targeted a few miRNAs, we have incorporated a platform of over 2,000 miRNAs. This methodological difference has resulted in our level of adjustment being considerable, while other studies have no or minimal adjustment for multiple comparisons. Our data are based on recall of diet and lifestyle factors from cases, mainly for a referent period of 2 years to diagnosis. While other referent periods may be important, more distant referent periods would represent a time less temporal to the time of the miRNA expression. We do however believe that our data are excellent, in that results obtained from this study in terms of risk are similar to several other large cohort studies. However, if there is bias toward the null in our recalled data, it could influence our ability to detect associations. Other factors such as potentially different effects by age of participant are possible. Although we adjusted for age to control for confounding, we did not conduct separate age-stratified analysis. Our sample size, although large, would be too small for detailed subgroup analysis. Likewise, we have used an Agilent platform and have previously compared platform results to those obtained from quantitative polymerase chain reaction. Our results were in 100% agreement in direction of association and fold changes calculated from data on the Agilent platform and that obtained from quantitative polymerase chain reaction.31

Conclusion

In summary, we have shown that carbohydrate intake, sucrose intake, NSAID use, and OBS are associated with miRNA expression level. Additionally, most of these miRNAs were differentially expressed between colorectal carcinoma and normal mucosa, suggesting a role in CRC. We believe that these findings lend support to the hypothesis that miRNAs are regulated by diet and lifestyle factors. It is possible that other diet and lifestyle factors could be important in control settings, which we were unable to detect at the population level. We urge other researchers to replicate these findings utilizing laboratory-based studies to better understand the functional significance of these findings. These findings, if replicated, could provide further support for these diet and lifestyle factors in cancer prevention.

Acknowledgments

The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official view of the National Cancer Institute. The authors acknowledge Sandra Edwards for data oversight, Dr Bette Caan and the staff at the KPMCP for their contribution to data collection, Dr Wade Samowitz for miRNA slide review, Erica Wolff and Michael Hoffman for miRNA analysis, Brett Milash and the Bioinformatics Shared Resource of the Huntsman Cancer Institute and University of Utah for miRNA and mRNA bioinformatics data processing, and Daniel Pellatt for statistical assistance. This study was supported by NCI grants CA163683 and CA48998 from the National Cancer Institute at the National Institutes of Health.

Footnotes

Author contributions

MLS designed research; RW and MLS conducted research; JSH, LEM, and JRS analyzed data and performed statistical analysis; MLS wrote paper and had primary responsibility for the final content; all authors contributed toward data analysis, drafting and critically revising the paper and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.Ambros V. The functions of animal microRNAs. Nature. 2004;431(7006):350–355. doi: 10.1038/nature02871. [DOI] [PubMed] [Google Scholar]
  • 2.Murray BS, Choe SE, Woods M, Ryan TE, Liu W. An in silico analysis of microRNAs: mining the miRNAome. Mol Biosyst. 2010;6(10):1853–1862. doi: 10.1039/c003961f. [DOI] [PubMed] [Google Scholar]
  • 3.Arora S, Rana R, Chhabra A, Jaiswal A, Rani V. miRNA-transcription factor interactions: a combinatorial regulation of gene expression. Mol Genet Genomics. 2013;288(3–4):77–87. doi: 10.1007/s00438-013-0734-z. [DOI] [PubMed] [Google Scholar]
  • 4.Gartel AL, Kandel ES. miRNAs: little known mediators of oncogenesis. Semin Cancer Biol. 2008;18(2):103–110. doi: 10.1016/j.semcancer.2008.01.008. [DOI] [PubMed] [Google Scholar]
  • 5.Nam S, Li M, Choi K, Balch C, Kim S, Nephew KP. MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression. Nucleic Acids Res. 2009;37(Web Server issue):W356–W362. doi: 10.1093/nar/gkp294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Drusco A, Nuovo GJ, Zanesi N, et al. MicroRNA profiles discriminate among colon cancer metastasis. PLoS One. 2014;9(6):e96670. doi: 10.1371/journal.pone.0096670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Acunzo M, Romano G, Wernicke D, Croce CM. MicroRNA and cancer – a brief overview. Adv Biol Regul. 2015;57:1–9. doi: 10.1016/j.jbior.2014.09.013. [DOI] [PubMed] [Google Scholar]
  • 8.Iorio MV, Croce CM. MicroRNAs in cancer: small molecules with a huge impact. J Clin Oncol. 2009;27(34):5848–5856. doi: 10.1200/JCO.2009.24.0317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Davis CD, Ross SA. Evidence for dietary regulation of microRNA expression in cancer cells. Nutr Rev. 2008;66(8):477–482. doi: 10.1111/j.1753-4887.2008.00080.x. [DOI] [PubMed] [Google Scholar]
  • 10.Zhang C, Shu L, Kong AT. MicroRNAs: new players in cancer prevention targeting Nrf2, oxidative stress and inflammatory pathways. Curr Pharmacol Rep. 2015;1(1):21–30. doi: 10.1007/s40495-014-0013-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Pathi SS, Jutooru I, Chadalapaka G, et al. GT-094, a NO-NSAID, inhibits colon cancer cell growth by activation of a reactive oxygen species-microRNA-27a: ZBTB10-specificity protein pathway. Mol Cancer Res. 2011;9(2):195–202. doi: 10.1158/1541-7786.MCR-10-0363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Parasramka MA, Dashwood WM, Wang R, et al. MicroRNA profiling of carcinogen-induced rat colon tumors and the influence of dietary spinach. Mol Nutr Food Res. 2012;56(8):1259–1269. doi: 10.1002/mnfr.201200117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Parasramka MA, Ho E, Williams DE, Dashwood RH. MicroRNAs, diet, and cancer: new mechanistic insights on the epigenetic actions of phytochemicals. Mol Carcinog. 2012;51(3):213–230. doi: 10.1002/mc.20822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Slattery ML, Benson J, Curtin K, Ma KN, Schaeffer D, Potter JD. Carotenoids and colon cancer. Am J Clin Nutr. 2000;71(2):575–582. doi: 10.1093/ajcn/71.2.575. [DOI] [PubMed] [Google Scholar]
  • 15.Slattery ML, Edwards SL, Anderson K, Caan B. Vitamin E and colon cancer: is there an association? Nutr Cancer. 1998;30(3):201–206. doi: 10.1080/01635589809514664. [DOI] [PubMed] [Google Scholar]
  • 16.Stone WL, Papas AM. Tocopherols and the etiology of colon cancer. J Natl Cancer Inst. 1997;89(14):1006–1014. doi: 10.1093/jnci/89.14.1006. [DOI] [PubMed] [Google Scholar]
  • 17.Satia-Abouta J, Galanko JA, Martin CF, Potter JD, Ammerman A, Sandler RS. Associations of micronutrients with colon cancer risk in African Americans and whites: results from the North Carolina Colon Cancer Study. Cancer Epidemiol Biomarkers Prev. 2003;12(8):747–754. [PubMed] [Google Scholar]
  • 18.Slattery ML, Lundgreen A, Welbourn B, Wolff RK, Corcoran C. Oxidative balance and colon and rectal cancer: interaction of lifestyle factors and genes. Mutat Res. 2012;734(1–2):30–40. doi: 10.1016/j.mrfmmm.2012.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Goodman M, Bostick RM, Gross M, Thyagarajan B, Dash C, Flanders WD. Combined measure of pro- and anti-oxidant exposures in relation to prostate cancer and colorectal adenoma risk: an update. Ann Epidemiol. 2010;20(12):955–957. doi: 10.1016/j.annepidem.2010.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Goodman M, Bostick RM, Dash C, Terry P, Flanders WD, Mandel J. A summary measure of pro- and anti-oxidant exposures and risk of incident, sporadic, colorectal adenomas. Cancer Causes Control. 2008;19(10):1051–1064. doi: 10.1007/s10552-008-9169-y. [DOI] [PubMed] [Google Scholar]
  • 21.Slattery ML, Potter J, Caan B, et al. Energy balance and colon cancer – beyond physical activity. Cancer Res. 1997;57(1):75–80. [PubMed] [Google Scholar]
  • 22.Slattery ML, Caan BJ, Benson J, Murtaugh M. Energy balance and rectal cancer: an evaluation of energy intake, energy expenditure, and body mass index. Nutr Cancer. 2003;46(2):166–1671. doi: 10.1207/S15327914NC4602_09. [DOI] [PubMed] [Google Scholar]
  • 23.Slattery ML, Herrick JS, Pellatt DF, et al. MicroRNA profiles in colorectal carcinomas, adenomas and normal colonic mucosa: variations in miRNA expression and disease progression. Carcinogenesis. 2016;37(3):245–261. doi: 10.1093/carcin/bgv249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Edwards S, Slattery ML, Mori M, et al. Objective system for interviewer performance evaluation for use in epidemiologic studies. Am J Epidemiol. 1994;140(11):1020–1028. doi: 10.1093/oxfordjournals.aje.a117192. [DOI] [PubMed] [Google Scholar]
  • 25.Liu K, Slattery M, Jacobs D, Jr, et al. A study of the reliability and comparative validity of the cardia dietary history. Ethn Dis. 1994;4(1):15–27. [PubMed] [Google Scholar]
  • 26.Slattery ML, Boucher KM, Caan BJ, Potter JD, Ma KN. Eating patterns and risk of colon cancer. Am J Epidemiol. 1998;148(1):4–16. doi: 10.1093/aje/148.1.4-a. [DOI] [PubMed] [Google Scholar]
  • 27.Kampman E, Slattery ML, Bigler J, et al. Meat consumption, genetic susceptibility, and colon cancer risk: a United States multicenter case-control study. Cancer Epidemiol Biomarkers Prev. 1999;8(1):15–24. [PubMed] [Google Scholar]
  • 28.Agilent Technologies Inc . Agilent GeneSpring User Manual. Santa Clara, California: Agilent Technologies Inc; 2013. [Google Scholar]
  • 29.Storey JD. A direct approach to false discovery rates. J Royal Stat Soc. 2002;64(3):479–498. [Google Scholar]
  • 30.Garcia-Segura L, Perez-Andrade M, Miranda-Rios J. The emerging role of MicroRNAs in the regulation of gene expression by nutrients. J Nutrigenet Nutrigenomics. 2013;6(1):16–31. doi: 10.1159/000345826. [DOI] [PubMed] [Google Scholar]
  • 31.Pellatt DF, Stevens JR, Wolff RK, et al. Expression profiles of miRNA subsets distinguish human colorectal carcinoma and normal colonic mucosa. Clin Transl Gastroenterol. 2016;7:e152. doi: 10.1038/ctg.2016.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lancon A, Michaille JJ, Latruffe N. Effects of dietary phytophenols on the expression of microRNAs involved in mammalian cell homeostasis. J Sci Food Agric. 2013;93(13):3155–3164. doi: 10.1002/jsfa.6228. [DOI] [PubMed] [Google Scholar]
  • 33.Humphreys KJ, Conlon MA, Young GP, et al. Dietary manipulation of oncogenic microRNA expression in human rectal mucosa: a randomized trial. Cancer Prev Res. 2014;7(8):786–795. doi: 10.1158/1940-6207.CAPR-14-0053. [DOI] [PubMed] [Google Scholar]
  • 34.Ruan YL. Sucrose metabolism: gateway to diverse carbon use and sugar signaling. Annu Rev Plant Biol. 2014;65:33–67. doi: 10.1146/annurev-arplant-050213-040251. [DOI] [PubMed] [Google Scholar]
  • 35.Ren L, Tang G. Identification of sucrose-responsive microRNAs reveals sucrose-regulated copper accumulations in an SPL7-dependent and independent manner in Arabidopsis thaliana. Plant Sci. 2012;187:59–68. doi: 10.1016/j.plantsci.2012.01.014. [DOI] [PubMed] [Google Scholar]
  • 36.Wong TY, Li F, Lin SM, Chan FL, Chen S, Leung LK. Celecoxib increases miR-222 while deterring aromatase-expressing breast tumor growth in mice. BMC Cancer. 2014;14:426. doi: 10.1186/1471-2407-14-426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Magenta A, Dellambra E, Ciarapica R, Capogrossi MC. Oxidative stress, microRNAs and cytosolic calcium homeostasis. Cell Calcium. 2016;60(3):207–217. doi: 10.1016/j.ceca.2016.04.002. [DOI] [PubMed] [Google Scholar]

Articles from Pharmacogenomics and Personalized Medicine are provided here courtesy of Dove Press

RESOURCES