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. Author manuscript; available in PMC: 2014 Jul 15.
Published in final edited form as: Clin Cancer Res. 2013 May 29;19(14):3955–3965. doi: 10.1158/1078-0432.CCR-12-3302

The Prognostic Value of microRNAs Varies with Patient Race/Ethnicity and Stage of Colorectal Cancer

Liselle C Bovell 1, Chandrakumar Shanmugam 1, Balananda Dhurjati Kumar Putcha 1, Venkat R Katkoori 1, Bin Zhang 2, Sejong Bae 3,4, Karan P Singh 3,4, William E Grizzle 1,4, Upender Manne 1,4
PMCID: PMC3746330  NIHMSID: NIHMS485720  PMID: 23719259

Abstract

Purpose

MicroRNAs (miRNAs) have potential prognostic value for colorectal cancers (CRCs); however, their value based on patient race/ethnicity and pathologic stage has not been determined. The goal was to ascertain the prognostic value of 5 miRNAs with increased expression in CRCs of African American (Black) and non-Hispanic Caucasian (White) patients.

Experimental Design

TaqMan® qRT-PCR was used to quantify expression of miR-20a, miR-21, miR-106a, miR-181b, and miR-203 in paired normal and tumor CRC archival tissues collected from 106 Black and 239 White patients. The results were correlated with overall survival based on patient race/ethnicity and pathologic stage. Since decisions regarding adjuvant therapy are important for Stage III CRCs, and since miR-181b appeared to have prognostic value only for Stage III Black patients, we assessed its prognostic value in a separate cohort of Stage III CRCs of Blacks.

Results

All 5 miRNAs had higher expression in CRCs (>1.0-fold) than in corresponding normal tissues. High expression of miR-203 was associated with poor survival of Whites with Stage IV CRCs (HR=3.00, 95% CI=1.29–7.53), but in Blacks it was an indicator of poor survival of patients with Stage I and II CRCs (HR=5.63, 95% CI=1.03–30.64). Increased miR-21 expression correlated with poor prognosis for White Stage IV patients (HR=2.50, 95% CI=1.07–5.83). In both test and validation cohorts, high miR-181b expression correlated with poor survival of only Black patients with Stage III CRCs (HR=1.94, 95% CI=1.03–3.67).

Conclusion

These preliminary findings suggest that the prognostic value of miRNAs in CRCs varies with patient race/ethnicity and stage of disease.

Keywords: Race, miRNAs, prognosis, stage, colorectal cancer

Introduction

In the US, colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-related deaths among men and women (1). CRC is a heterogeneous disease, especially with respect to patient race/ethnicity, tumor stage, and genetic alterations that contribute to its progression. Identification of molecular determinants involved in the progression of CRCs will aid in evaluating patient prognosis and/or provide targets for cancer prevention and/or therapy. MicroRNAs (miRNAs) are implicated in the progression of and prognosis for CRCs (25).

MiRNAs are a family of small (20 to 24-nucleotide) single-stranded, non-coding RNAs that regulate gene expression at the post-transcriptional level (6). They are thought regulate protein production by binding to a complementary site in mRNA, preventing it from being translated or targeting it for destruction, or by transcriptional gene-silencing at the chromatin level (79). The number of known miRNAs in humans now exceeds 1,500 (10). Each miRNA may regulate hundreds of mRNAs (11).

About half of the human miRNAs are located at cancer-associated regions of the genome, suggesting that they are involved in tumorigenesis (12). Based on cancer-associated alterations in their expression, miRNAs may act as tumor suppressors or oncogenes (13) and are implicated in tumor progression and metastasis.(14) Many are dysregulated in human tumors (9). Microarray analyses have revealed specific down-regulation of let-7 expression in lung tumors, but not in breast or colon cancers (15), suggesting that the effects of miRNAs are organ-specific.

Due to deletion of the p53 tumor suppressor gene in colon cancer cell lines, several miRNAs are characterized as abnormal. Among these, miR-15b, miR-181b, miR-191, and miR-200c are overexpressed in CRCs compared to normal colorectal tissues, and survival analyses indicate that patients with higher miR-200c expression have shorter survival times compared to patients with lower expression (2). Accumulation of miR-143 and miR-145 is down-regulated in cells derived from CRCs (16). MiR-21 is expressed at high levels in colonic carcinoma cells, and high miR-21 expression is associated with poor survival and decreased therapeutic response (3). In CRCs, miR-133b and miR-145 are down-regulated, and miR-31, miR-96, miR-135b, and miR-183 are up-regulated (17).

Although previous studies have highlighted the potential value of miRNA expression profiles in the prognosis for CRC patients (25), their value with respect to race/ethnicity and tumor stage is not known. In the present investigation, we determined the expression levels of five miRNAs (miR-20a, miR-21, miR-106a, miR-181b, and miR-203), which were the most highly overexpressed miRNAs amongst a panel of 389 miRNAs assayed in CRCs (3). Furthermore, their prognostic value was analyzed in a consecutive, retrospective CRC patient cohort of 142 African Americans (Blacks) and 239 non-Hispanic Caucasians (Whites) with respect to race/ethnicity and tumor stage.

Materials and Methods

Patients and Tissue Sample Collection

Included were 142 Black and 239 White CRC patients who had undergone surgical resection for “first primary” sporadic CRC between 1985 and 2004 at the University of Alabama at Birmingham (UAB). Thus, this was an ‘unselected’ patient population. Patients with multiple primaries within the colorectum, with multiple malignancies, or with a family or personal history of cancer (due to distinctive molecular pathways) were excluded. We excluded from the study population those patients who died within a week of their surgery; those with surgical margin-involvement, unspecified tumor location, multiple primaries within the colorectum, or multiple malignancies; and those patients with a family history of hereditary non-polyposis colorectal cancer (HNPCC), familial adenomatous polyposis (FAP), or personal histories of CRC. Since the information from the patient charts may not be reliable in identifying the familial vs. sporadic nature of CRCs, our cohort can be described as a ‘consecutive’ patient population. The intent of using patients from this time period was to maximize post-surgery follow-up. Formalin-fixed, paraffin-embedded (FFPE) tissue blocks of CRCs and their corresponding normal (benign colonic epithelial) surgical specimens were collected from UAB. Of 142 Blacks, 106 were included as an initial test cohort and 36 as a separate validation cohort. The sample size and power were estimated based on a previous study (3). Demographic, clinical, and pathologic information was collected from medical records, physician charts, and pathology and radiology reports. These data included age, race, gender, tumor location, tumor-node-metastasis (TNM) stage, tumor size, survival times, status, and relapse. Hematoxylin and eosin-stained slides were reviewed by two pathologists (CKS & WEG) together. Pathologic staging was performed according to the criteria of the American Joint Commission on Cancer (18). Histological grade was assessed according to World Health Organization criteria. Well and moderately differentiated tumors were pooled into a low-grade group and poor and undifferentiated tumors into a high-grade group (19). The Institutional Review Board of UAB approved this study.

Patient race/ethnicity and Follow-up Information

Information on patient race/ethnicity was obtained from their charts, and assignment was self-described or self-identified. We recognize, however, that there is some diversity in identification within any race/ethnic group.

Follow-up information was retrieved from the UAB Tumor Registry. Patients were followed either by the patient’s physician or by the UAB Tumor Registry until their death or the date of the last documented contact within the study time frame. The Tumor Registry ascertained outcome (mortality) information directly from patients (or living relatives) and from the physicians of the patients through telephone and mail contacts. This information was further validated against the state Death Registry. Demographic data, including patient age at diagnosis, gender, race/ethnicity, date of surgery, date of the last follow-up (if alive), date of recurrence (if any), and date of death, were collected. The Tumor Registry updated follow-up information every six months, and follow-up of our retrospective cohorts ended in September 2012. The median follow-up periods for Blacks and Whites were 19 years (range 7–29 years) and 15 years (range 7–30 years), respectively.

RNA Isolation and qRT-PCR

Total RNA was extracted from macro-dissected tumor and corresponding normal FFPE samples using TRIzol® Reagent (Invitrogen, CA). The quality of RNA was determined with a NanoDrop2000 spectrophotometer (Thermo Fisher Scientific, NE). qRT-PCR of miRNAs was performed using TaqMan® microRNA assays (Applied Biosystems, CA) and was conducted by two-step RT-PCR according to the manufacturer’s protocol. Briefly, cDNA synthesis was first accomplished using the TaqMan® MicroRNA Reverse Transcription Kit (Applied Biosystems, CA). The template consisted of 10 ng of total RNA, and miRNA-specific primers were used (provided in TaqMan® MicroRNA kits). This PCR reaction was in a 15-µL reaction mixture and was performed on the iQ™5 Real-Time PCR Detection System (BioRad, CA) for 30 min at 16°C, 30 min at 42°C, and 5 min at 85°C. The synthesized target cDNA was amplified using sequence-specific primers from the TaqMan® kits. This PCR reaction was accomplished in a 20-µL mixture (1.33 µL of template cDNA) and was performed for 10 min at 95°C, 15 sec at 95°C, and 1 min at 60°C for 40 cycles. Signals were collected at the end of each cycle.

Relative expression values were calculated using the comparative CT method and by normalizing with miRNA RNU6B as an endogenous control. Fold change = 2−ΔΔCT, where ΔΔCT = ΔCT (CTmiRNA − CT RNU6B) tumor − ΔCT (CTmiRNA − CT RNU6B)normal. The experiments were performed in triplicate, and the investigators were blinded to clinical data and survival outcome information until completion of all assays.

Statistical Analyses and Validation

Sample Size and Power Calculations

The sample size and power analysis were estimated based on a prior study of miRNAs in CRCs (3). In that analysis, increased expression of miR-21 was a poor prognostic indicator of survival, and 26 of 72 patients (36%) were positive for its overexpression. The hazard ratio was 2.5 (p=0.01). Thus, we proposed to evaluate 96 samples. A minimum of 96 samples in each racial group will provide enough power to detect a hazard ratio ≥ 2.2. Therefore, the sample size (n=96) was sufficient to identify a statistically significant prognostic value for miRNA expression.

Statistical Analysis

Chi-square tests were used to assess the univariate associations of baseline characteristics with miRNA expression for Black and White patients, separately. The baseline characteristics included demographic variables (age and gender) and pathologic variables (tumor location, size, grade, nodal status, distant metastasis, and stage). Cluster analyses, performed to define miRNA expression cutoff points, were based on Euclidean distances, which are geometric distances in multidimensional space. This method was chosen to establish cut-off points based on numerical technique. The cutoff of each miRNA was calculated for Blacks, Whites, and combined patients separately, but remained constant within each race throughout the study. Descriptive statistics were used to describe the basic features of the fold change of each miRNA (Table 2). The type-I error rate of each test was controlled at <0.05. All analyses were performed (by BZ & SB) with SAS application version 9.2 (SAS Institute Inc., Cary, NC).

Table 2.

Expression of miRNAs in CRCs

miRNA Combined
(N=345)
FCa,b
(Q1-Q3)c
Blacks
(N=106)
FCa,b
(Q1-Q3)c
Whites
(N=239)
FCa,b
(Q1-Q3)c
miR-20a 2.05
(0.72–7.31)
4.14
(1.51–27.3)
1.60
(0.61–4.78)
miR-21 2.10
(0.92–5.38)
3.79
(0.85–11.2)
2.03
(1.00–4.10)
miR-106a 2.00
(0.61–8.14)
4.33
(1.06–47.5)
1.58
(0.58–4.58)
miR-181b 1.33
(0.59–3.97)
3.97
(0.68–22.8)
1.06
(0.58–2.34)
miR-203 2.10
(0.40–9.06)
5.98
(0.69–71.5)
1.49
(0.38–5.70)

N, total number of cases; FC, fold change.

a

Threshold cycle (CT) is the unit of measurement in qRT-PCR to measure relative gene expression. Difference in CT (ΔΔ CT) = Tumor change in Ct minus paired non-tumor change in CT.

b

Fold change calculated from ΔΔCt, where fold change = 2-(median ΔΔ CT). Median fold change values are represented.

c

Q1 and Q3 for inter-quartile range of fold change values.

Deaths due to CRC were the outcomes (events) of interest. Survival analysis was used to model the relationship between the time to death due to CRC and miRNA expression. Those patients who died of any cause other than CRC and those who were alive at the end of the study were considered to be censored. A log-rank test and Kaplan-Meier survival curves were used to compare patient survival in the high and low expression groups for each miRNA. Multivariate Cox regression survival models were built by including all five miRNAs and the known confounding covariates (age, sex, tumor location, tumor stage, tumor size, and tumor grade). To detect the relationship for patients with different tumor stages, survival analyses were also performed for patient groups with each tumor Stage (I+II, III, and IV) separately. The final Cox model was obtained based on stepwise selection criteria. All the above analyses were conducted for Black, White, and combined patient populations separately. The final Cox model was obtained based on stepwise selection criteria. All the above analyses were conducted for Black, White, and combined patient populations separately, and Benjamini-Hochberg corrections were used to adjust for multiple comparisons testing errors (20). This method is an accepted approach for adjusting for multiple comparisons, and similar corrections have been used in other studies of cancer biomarkers (21, 22).

Results

MicroRNA Expression Profiles of CRCs

The characteristics of Black (test and validation) and White patient cohorts are given in Table 1. Expression levels of five miRNAs in the combined population, Blacks, and Whites are given separately in Table 2. We recently reported that all five miRNAs are stable in FFPE tissues stored over long periods of time (23). For the combined population, all miRNAs had higher expression in CRCs compared to normal tissues (>1.0-fold; range, 1.33 to 2.10). All five had higher expression in CRCs from Blacks (range, 3.97 to 5.98) as compared to CRCs from Whites (1.06 to 2.03) (Table 2).

Table 1.

Clinicopathological and molecular features of CRC patients in study

Variable Blacks
Whites
Test
cohort
Stage III Validation
cohort
N=106 (%) N=36 (%) N=239 (%)
Age group (years)
  < 65 52 (49) 13 (36) 117 (49)
  ≥ 65 54 (51) 23 (64) 122 (51)
Gender
  Female 71 (67) 18 (50) 104 (44)
  Male 35 (33) 18 (50) 135 (56)
Tumor location
  Proximal colon 28 (26) 19 (53) 114 (48)
  Distal colon 69 (65) 12 (33) 69 (29)
  Rectum 9 (9) 5 (14) 56 (23)
Depth of tumor invasion
  pT0 0 (0) 0 (0) 0 (0)
  pT1 4 (4) 0 (0) 8 (3)
  pT2 11(10) 2 (6) 29 (12)
  pT3 73 (69) 27 (75) 165 (69)
  pT4 18 (17) 7 (19) 37 (15)
aNodal status
  N0 57 (54) 0 (0) 132 (55)
  N1–3 49 (46) 36 (100) 97 (41)
bDistant metastasis
  M0 89 (85) 36 (100) 199 (83)
  M1 16 (15) 0 (0) 40 (17)
Tumor stage
  I 9 (9) 29 (12)
  II 46 (43) 100 (42)
  III 35 (33) 36 (100) 71 (30)
  IV 16 (15) 39 (16)
Tumor grade
  Low 86 (81) 31 (86) 185 (78)
  High 20 (19) 5 (14) 53 (22)
cTumor size (cm)
  ≤ 5 66 (62) 18 (50) 152 (64)
  > 5 40 (38) 16 (44) 87 (36)

N, total number of cases; %, percentage of N;

a

Information missing for 10 White cases.

b

Information missing for 1 Black case (test).

c

Information missing for 2 Black cases (validation).

Survival Analyses

Data on both univariate Kaplan-Meier and multivariate Cox regression survival analyses of the combined patient population as well as patient groups categorized according to race/ethnicity, tumor stage, and miRNA status are provided in Table 3 and Table 4. Univariate survival curve figures are provided only for test and validation data on miR-181b to demonstrate its independent prognostic value in Blacks with Stage III CRCs.

Table 3.

Univariate survival analyses based on miRNA status

Race miRNA a,bLog rank
p-value
Total
(N)
Low
(N)
High
(N)
Combined
  All Stages miR-20a 0.020 344 233 111
miR-21 0.223 344 232 112
miR-106a 0.005 344 231 113
miR-181b 0.004 344 234 110
miR-203 0.002 344 233 111
  Stage I+II miR-20a 0.236 184 136 48
miR-21 0.396 184 125 59
miR-106a 0.236 184 136 48
miR-181b 0.303 184 138 46
miR-203 0.360 184 136 48
  Stage III miR-20a 0.877 105 68 37
miR-21 0.567 105 69 36
miR-106a 0.158 105 63 42
miR-181b 0.125 105 64 41
miR-203 0.045 105 63 42
  Stage IV miR-20a 0.965 55 29 26
miR-21 0.155 55 38 17
miR-106a 0.585 55 32 23
miR-181b 0.722 55 32 23
miR-203 0.920 55 34 21

Blacks
  All Stages miR-20a 0.065 106 72 34
miR-21 0.149 106 72 34
miR-106a 0.049 106 72 34
miR-181b 0.003 106 72 34
miR-203 0.005 106 71 35
  Stage I+II miR-20a 0.368 55 36 19
miR-21 0.287 55 38 17
miR-106a 0.471 55 38 17
miR-181b 0.189 55 38 17
miR-203 0.021 55 39 16
  Stage III miR-20a 0.017 35 26 9
miR-21 0.331 35 24 11
miR-106a 0.039 35 25 10
miR-181b 0.008 35 24 11
miR-203 0.071 35 22 13
  Stage IV miR-20a 0.879 16 10 6
miR-21 0.891 16 10 6
miR-106a 0.766 16 9 7
miR-181b 0.891 16 10 6
miR-203 0.879 16 10 6

Whites
miR-20a 0.978 238 161 77
miR-21 0.680 238 161 77
miR-106a 0.415 238 160 78
miR-181b 0.123 238 162 76
miR-203 0.696 238 163 75
  Stage I+II miR-20a 0.873 129 94 35
miR-21 0.399 129 93 36
miR-106a 0.486 129 96 33
miR-181b 0.371 129 99 30
miR-203 0.408 129 97 32
  Stage III miR-20a 0.513 70 42 28
miR-21 0.089 70 42 28
miR-106a 0.919 70 38 32
miR-181b 0.509 70 42 28
miR-203 0.811 70 39 31
  Stage IV miR-20a 0.482 39 25 14
miR-21 0.023 39 26 13
miR-106a 0.184 39 26 13
miR-181b 0.752 39 21 18
miR-203 0.029 39 27 12

Combined population includes all stages and all races/ethnic groups;

a

Log-rank, p-value estimated from Kaplan-Meier univariate analysis

b

Adjustment for multiple comparisons has been made for the P values using the Benjamini-Hochberg method.

Table 4.

Cox multivariate regression analysis to evaluate the independent prognostic value of miRNAs in CRCs

Combined Blacks Whites
Prognostic
variables
Indicator
of
poor
prognosis
aHazard ratio
(95% CI)
cP-value Prognostic
variables
Indicator
of
poor
prognosis
aHazard ratio
(95% CI)
cP-value Prognostic
variables
Indicator
of
poor
prognosis
aHazard ratio
(95% CI)
cP-value
All stages (N=344) All stages (N=106) All stages (N=238)
miRNA miRNA Tumor stage
  miR-203 High 1.49 (1.03–2.17) 0.036   miR-181b High 3.55 (1.50–8.41) 0.004   II vs. I II 3.55 (1.08–11.63) 0.038
Tumor stage Tumor stage   III vs. I III 6.22 (1.90–20.37) 0.002
  II vs. I II 1.60 (0.75–3.40) 0.224   II vs. I II 0.80 (0.27–2.40) 0.701   IV vs. I IV 26.43 (7.91–88.32) <.0001
  III vs. I III 2.97 (1.41–6.28) 0.004   III vs. I III 2.38 (0.83–6.79) 0.107
  IV vs. I IV 10.11 (4.66–21.93) <.0001   IV vs. I IV 4.19 (1.31–13.41) 0.017 Tumor grade
Tumor grade Tumor location   High vs. low High 1.54 (0.99–2.38) 0.057
  High vs. low High 1.60 (1.13–2.28) 0.009 Proximal colon
vs. Rectum
Proximal
colon
1.60 (1.13–2.28) 0.061
Distal colon
vs. Rectum
Distal
colon
1.43 (0.33–6.21) 0.644
Tumor grade
  High vs. low High 2.21 (1.14–4.29) 0.019
Stage I+II (N=184) Stage I+II (N=55) Stage I+II (N=129)
Tumor grade miRNA Tumor grade
  High vs. low High 1.68 (0.86–3.28) 0.132   miR-203 High 5.63 (1.03–30.64) 0.046   High vs. low High 1.52 (0.60–3.83) 0.382
Tumor grade
  High vs. low High 3.67 (1.30–10.37) 0.015
Stage III (N=105) Stage III (N=35) Stage III (N=70)
miRNA miRNA Tumor grade
  miR-203 High 1.90 (1.05–3.42) 0.034   miR-181b High 7.94 (1.60–39.30) 0.012   High vs. low High 1.40 (0.63–3.12) 0.416
Tumor grade Tumor grade
  High vs. low High 1.27 (0.66–2.42) 0.480   High vs. low High 0.28 (0.03–2.42) 0.249
Stage IV (N=55) bStage IV (N=16) Stage IV (N=39)
miRNA miRNA
  miR-21 High 3.25 (1.37–7.72) 0.008   miR-21 High 2.50 (1.07–5.83) 0.034
  miR-203 High 2.19 (1.10–4.33) 0.026   miR-203 High 3.01 (1.30–6.98) 0.011
Tumor grade Tumor grade
  High vs. low High 3.76 (1.85–7.63) 0.0003   High vs. low High 3.12 (1.29–7.53) 0.012
a

Adjusted for miRNA expression levels, age, gender, TNM tumor stage, tumor location within the colorectum, tumor grade, tumor size, and race (for analyses of the Combined patient population); CI, confidence interval.

b

Due to the small number of available cases, multivariate analyses was not completed for Stage IV Black CRC patients.

c

Adjustment for multiple comparisons has been made for the P values using the Benjamini-Hochberg method.

Prognostic significance of miR-20a and miR-106a

Univariate survival analyses demonstrated that high expression of miR-20a was associated with shorter overall survival (OS) in the combined patient population when all stages were considered (Log-rank, p=0.02) and especially for Stage III Black CRC patients (log-rank, p=0.017) (Table 3). Similarly, high expression of miR-106a was associated with shorter OS for the combined population; for Blacks when all stages were considered; and for Blacks with Stage III CRCs (Log-rank, p=0.005, p=0.049, and p=0.039, respectively) (Table 3). In our multivariate analyses, however, these two miRNAs were not established as independent markers (Table 4).

Prognostic significance of miR-21

Increased expression of miR-21 correlated with shorter OS of only Stage IV patients (HR, 3.25; 95% CI, 1.37–7.72; p=0.008) (Table 4), especially for White patients with Stage IV CRCs (Log-rank, p=0.023, Table 3; and HR, 2.50; 95% CI, 1.07–5.83; p=0.034, Table 4).

Prognostic significance of miR-181b

Although high expression of miR-181b was associated with shorter OS of the combined patient population (log-rank, p=0.004, Table 3), it was an independent prognostic marker only for Black patients (Log-rank, p=0.003, Table 3; HR, 3.55; 95% CI, 1.50–8.41, Table 4), especially for those with Stage III CRCs (Test-set, Log-rank, p=0.008, Table 3 and Figure 1a; HR, 7.94; 95% CI, 1.60–39.30, Table 4).

Figure 1.

Figure 1

Kaplan-Meier univariate survival analysis based on miR-181b expression levels in the test (1A) and validation (1B) cohorts of Black Stage III CRC patients.

Since miR-181b appeared to have a prognostic value for Stage III, especially for Black patients, both in univariate and multivariate analyses, and studies demonstrating that markers are useful in determining prognosis of minority populations are rare, we validated the prognostic value of miR-181b in a separate cohort of 36 Stage III CRCs of Blacks. Moreover, traditional pathological features coupled with novel molecular markers could identify aggressive phenotypes within Stage III tumors and aid in identifying high risk patients to maximize the benefits of adjuvant therapy. The demographic and tumor characteristics for this validation cohort are given in Table 1. Due to non-availability of follow-up information, one case in the validation cohort was excluded from survival analyses.

Similar to the findings of the test cohort of Stage III Black patients, univariate analysis demonstrated that high expression of miR-181b was associated with short patient survival in the validation cohort (Log-rank, p=0.005) (Figure 1b). Since the findings of multivariate Cox regression analysis of the validation cohort were similar to findings for the test cohort (HR, 2.75; 95% CI, 1.17–6.48) (data not shown), and to increase our sample size in order to increase statistical power, the test and validation cohorts were pooled for multivariate analysis. Multivariate analyses demonstrated that Blacks with Stage III CRCs with high expression of miR-181b were 1.94 times more likely to die of CRC than patients in the combined population who had low miR-181b expression (HR, 1.94; 95% CI, 1.03–3.67) (Table 5).

Table 5.

Cox multivariate regression analysis to evaluate the independent prognostic value of miR-181b in the combined test and validation cohorts of Black Stage III CRCs (N=70)

Prognostic variables Indicator of
poor prognosis
aHazard ratio
95% (CI)
bP-value
miRNA
  miR-181b High expression 1.94 (1.03–3.67) 0.043
Tumor grade
  High vs. low High 1.89 (0.91–3.91) 0.092
a

Adjusted for miRNA expression levels, age, gender, TNM stage, tumor location within the colorectum, tumor grade, and tumor size; CI, confidence interval.

b

Adjustment for multiple comparisons has been made for the P values using the Benjamini-Hochberg method.

Prognostic significance of miR-203

High expression of miR-203 in CRCs correlated with short survival in different groups of patients (Table 3 and Table 4). Increased miR-203 expression had an independent prognostic value for all CRC patients (combined population, Log-rank, p=0.002; HR, 1.90; 95% CI, 1.05–3.42), but especially for Blacks with early stage (I+II) CRCs (Log-rank, p=0.021; HR, 5.63; 95% CI, 1.03–30.64) and for Whites with Stage IV disease (Log-rank, p=0.029; HR, 3.01; 95% CI, 1.30–6.98).

Discussion

A panel of miRNAs that are over-expressed in CRCs (3) was analyzed to determine their prognostic value for Black and White CRC patients. The results show an increase in the expression of all the miRNAs in CRCs, which is consistent with previous reports (2, 3, 24, 25). Although the prognostic value of these miRNAs has been investigated in various cancers, including CRCs (2, 3, 24, 25), none of the earlier studies dealt with race/ethnicity and tumor stage. The current investigation demonstrates that the prognostic value of different miRNAs varies with tumor stage and patient race/ethnicity. The results show a greater fold increase for all five miRNAs in CRCs of Blacks than for their White counterparts.

In normal prostate tissues, miR-301, miR-219, miR-26a, miR-1b-1, and miR-30c-1 are expressed three times higher in Blacks than in Whites (26). Similarly, prostate cancer cell lines generated from Blacks have higher expression of miR-26a compared to lines derived from Whites of similar stage and pathological grade (27). These results suggest that racial differences exist in the expression levels of some miRNAs. Plausible mechanisms for aberrant expression of miRNAs include the alteration of miRNA copy numbers, epigenetic modification of miRNAs and/or miRNA processing proteins, and single-nucleotide polymorphisms (SNPs) in miRNA genes (2831). Since, SNPs are specific to race/ethnicity (32), associations between SNPs in miRNAs or in their target genes may contribute to distinct phenotypic features in different race/ethnic groups. Also, dysregulations of specific miRNAs are associated with stage of the disease and survival in several malignancies (3, 3336). Furthermore, miRNA expression profiles can reflect specific stages in tumor progression (37); and several miRNAs, referred to as “metastamirs,” are involved in tumor metastasis, even though some of these may not have obvious roles in tumorigenesis (38). These reports support our findings related to race- and stage-specific miRNAs in the prognosis of CRC patients.

In the present investigation, there was no substantial correlation between increased miR-21 levels and poor patient prognosis when all stages were considered, as previously reported (3, 39, 40). However, once the population was stratified by patient race/ethnicity and tumor stage, high expression of miR-21 was associated with poor prognosis of White patients with Stage IV CRCs. In the current study, miRNAs were isolated from macro-dissected tumor tissues, whereas prior studies evaluated miRNAs from whole CRC tissues (3, 27, 39). Highly expressed in the stroma of CRCs, miR-21 is associated with shorter disease-free survival (41). Moreover, there is a differential pattern of expression of miRNAs during CRC progression (42). These factors may have contributed to the inconsistency between our findings and those of previous studies. Similar to our findings, the high expression of miR-21 in advanced stages of CRCs correlates with distant metastases and shorter patient survival (39, 40, 43). Furthermore, highly expressed miR-21 is more common in Stage IV CRCs than in Stage II and Stage III CRCs (44). These reports support our finding of miR-21 as an independent prognostic indicator of patients with Stage IV CRCs.

Increased miR-181b was identified and validated as an independent marker of poor prognosis for Black patients with Stage III CRCs. There are high levels of miR-181b in CRCs (2) and in sessile serrated adenomas, know aggressive lesions, relative to hyperplastic polyps (45). Even though there is high miR-181b expression in CRCs, it was considered to have no prognostic value (46). Our findings, however, suggest that, for Stage III Black patients, miR-181b is a prognostic marker that could aid in identifying high-risk patients who would benefit from adjuvant therapy. MiR-181b acts as an epigenetic switch to inhibit the tumor suppressor CYLD, thereby increasing NF-κB activity and maintaining the transformed state of tumor cells (47). In silico analyses have predicted several target genes of miR-181b that are involved in cell cycle regulation, cell signaling, and chemosensitivity (2). SNPs in the miR-181b binding sites of the targets may be a reason for increased expression of miR-181b in CRCs. For example, in one of the proposed targets of miR-181b, GATA6, which has an oncogenic function in gastrointestinal cancers (48), three SNPs have been identified (49). Since SNPs are race/ethnic-specific and have prognostic value in CRCs (50), there may be an association between miR-181b and SNPs in its targets that contributes to CRC carcinogenesis in Black patients. However, the underlying mechanisms for the prognostic value of miR-181b in Black patients with Stage III CRCs need to be explored.

Our study has found, for the combined population that high expression of miR-203 is an independent marker of poor prognosis of CRCs. Further, miR-203 is an independent marker of poor prognosis for Blacks with Stage I or II disease, but, in Whites, it is a marker for Stage IV disease. In CRC patients <40 years of age, there is increased expression of miR-203 that correlates with aggressive tumor behavior (25). Elevated expression of miR-203 is a predictor of poor prognosis for pancreatic adenocarcinoma (51, 52) and for breast cancer (53). In contrast, there is decreased expression of miR-203 in lung cancer cells, and it inhibits proliferation and invasion (54). These findings suggest that the role of miR-203 varies with the type and stage of cancer and patient race.

Although the current study did not find an independent prognostic value for miR-20a or mi106a, in univariate analyses, their increased expression correlated with poor survival in the combined population. A meta-analysis of 20 studies on miRNA expression levels in CRCs found up-regulation of miR-20a in more than one study (55). High levels of miR-20a in gastric and gastrointestinal cancers correlate with reduced survival (56, 57). MiR-106a highly is expressed in metastatic CRC cell lines (58), CRCs tissues (3, 59) and stool samples of CRC patients (60). With respect to CRC prognosis, conversely to what we found, low expression of miR-106a was associated with decreased survival in a Spanish CRC population (61).

We acknowledge that there are limitations of our study. To begin, this study was conducted with a sample set collected at a single medical center, thus, it is not a population-based study. The samples used were remnants of diagnostic tissues that were processed and archived for more than two decades. Thus, there may be biases related to tissue collection and processing (62). For the discovery and validation of biomarkers, reference sample sets that are collected following standardized protocols are ideal. Further, the validation studies should ideally be performed on a sample cohort collected from a different institution. However, due to limited resources and the exploratory nature of this study, both our test and validation cohorts were collected from the same institution. Nevertheless, our future studies will focus on validating these findings in reference CRC samples collected from Blacks and Whites of different geographical regions of the United States. Lastly, although we used self-identified race to categorize patients into Blacks and Whites, we recognize that there is some diversity in identification within any race or ethnic group.

The present investigation is the first to evaluate the prognostic value of miR-20a, miR-21, miR-106a, miR-181b, and miR-203 in CRCs based on patient race/ethnicity and tumor stage. These miRNAs were expressed greater than 2-fold higher in primary CRCs of Black patients than in their White counterparts. Further, miR-21 is an independent prognostic marker for Stage IV CRCs of Whites; miR-181b is an independent prognostic marker for Stage III CRCs of Blacks; and miR-203 is an independent prognostic marker of Blacks with early-stage CRCs and for Whites with late-stage CRCs. Although these findings need to be validated in prospective studies, the results warrant that race/ethnicity of patients and stage of the disease should be considered in assessing the clinical utility of miRNAs in CRCs.

TRANSLATIONAL RELEVANCE.

The clinical utility of miRNAs, especially for assessing patient prognoses and predicting the efficacy of therapy, is promising. Since most prior studies were conducted in White patient populations, the value of miRNAs in CRCs based on race/ethnicity has not been assessed. We have demonstrated that miRNAs have distinct prognostic value. Increased expression of miR-21 and miR-203 were associated with poor survival of Whites with Stage IV CRCs, whereas miR-203 was an independent indicator for Blacks with early stage CRCs. In contrast, miR-181b was an independent prognostic marker only for Stage III CRCs of Blacks. These findings suggest that, for evaluation of the clinical utility of miRNAs in relation to CRCs, patient race/ethnicity and tumor stage should be considered. Furthermore, these findings have clinical implications in identifying aggressive phenotypes of CRCs and in identifying high-risk patients, thus maximizing the benefits of adjuvant therapy.

Acknowledgements

We thank Donald L. Hill, Ph.D., Division of Preventive Medicine, University of Alabama at Birmingham, for his critical review of this manuscript.

Financial Support: This work was supported by grants from the National Institute of Health/National Cancer Institute (NCI) (2U54-CA118948 & CA098932) to UM, and NCI Cancer Training Grant (5R25 CA47888) and UAB Breast SPORE minority supplement (P50 CA089019) to LCB.

Footnotes

Disclosure of Potential Conflicts of Interest: None of the authors have any conflicts of interests.

References

  • 1.Jemal A, Siegel R, Ward E, Hao Y, Xu J, Murray T, et al. Cancer statistics, 2008. CA Cancer J Clin. 2008;58:71–96. doi: 10.3322/CA.2007.0010. [DOI] [PubMed] [Google Scholar]
  • 2.Xi Y, Formentini A, Chien M, Weir DB, Russo JJ, Ju J, et al. Prognostic Values of microRNAs in Colorectal Cancer. Biomark Insights. 2006;2:113–121. [PMC free article] [PubMed] [Google Scholar]
  • 3.Schetter AJ, Leung SY, Sohn JJ, Zanetti KA, Bowman ED, Yanaihara N, et al. MicroRNA expression profiles associated with prognosis and therapeutic outcome in colon adenocarcinoma. Jama. 2008;299:425–436. doi: 10.1001/jama.299.4.425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ng EK, Chong WW, Jin H, Lam EK, Shin VY, Yu J, et al. Differential expression of microRNAs in plasma of patients with colorectal cancer: a potential marker for colorectal cancer screening. Gut. 2009;58:1375–1381. doi: 10.1136/gut.2008.167817. [DOI] [PubMed] [Google Scholar]
  • 5.Schimanski CC, Frerichs K, Rahman F, Berger M, Lang H, Galle PR, et al. High miR-196a levels promote the oncogenic phenotype of colorectal cancer cells. World J Gastroenterol. 2009;15:2089–2096. doi: 10.3748/wjg.15.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Faber C, Kirchner T, Hlubek F. The impact of microRNAs on colorectal cancer. Virchows Arch. 2009;454:359–367. doi: 10.1007/s00428-009-0751-9. [DOI] [PubMed] [Google Scholar]
  • 7.He L, Hannon GJ. MicroRNAs: small RNAs with a big role in gene regulation. Nat Rev Genet. 2004;5:522–531. doi: 10.1038/nrg1379. [DOI] [PubMed] [Google Scholar]
  • 8.Hede K. Studies define role of microRNA in cancer. J Natl Cancer Inst. 2005;97:1114–1115. doi: 10.1093/jnci/dji260. [DOI] [PubMed] [Google Scholar]
  • 9.Miska EA. How microRNAs control cell division, differentiation and death. Curr Opin Genet Dev. 2005;15:563–568. doi: 10.1016/j.gde.2005.08.005. [DOI] [PubMed] [Google Scholar]
  • 10.Kozomara A, Griffiths-Jones S. miRBase: integrating microRNA annotation and deep-sequencing data. Nucleic Acids Res. 2011;39:D152–D157. doi: 10.1093/nar/gkq1027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lewis BP, Shih IH, Jones-Rhoades MW, Bartel DP, Burge CB. Prediction of mammalian microRNA targets. Cell. 2003;115:787–798. doi: 10.1016/s0092-8674(03)01018-3. [DOI] [PubMed] [Google Scholar]
  • 12.Calin GA, Ferracin M, Cimmino A, Di Leva G, Shimizu M, Wojcik SE, et al. A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. N Engl J Med. 2005;353:1793–1801. doi: 10.1056/NEJMoa050995. [DOI] [PubMed] [Google Scholar]
  • 13.Gregory RI, Shiekhattar R. MicroRNA biogenesis and cancer. Cancer research. 2005;65:3509–3512. doi: 10.1158/0008-5472.CAN-05-0298. [DOI] [PubMed] [Google Scholar]
  • 14.Kumar MS, Erkeland SJ, Pester RE, Chen CY, Ebert MS, Sharp PA, et al. Suppression of non-small cell lung tumor development by the let-7 microRNA family. Proc Natl Acad Sci U S A. 2008;105:3903–3908. doi: 10.1073/pnas.0712321105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Eder M, Scherr M. MicroRNA and lung cancer. N Engl J Med. 2005;352:2446–2448. doi: 10.1056/NEJMcibr051201. [DOI] [PubMed] [Google Scholar]
  • 16.Michael MZ, OConner SM, van Holst Pellekaan NG, Young GP, James RJ. Reduced accumulation of specific microRNAs in colorectal neoplasia. Mol Cancer Res. 2003;1:882–891. [PubMed] [Google Scholar]
  • 17.Bandres E, Cubedo E, Agirre X, Malumbres R, Zarate R, Ramirez N, et al. Identification by Real-time PCR of 13 mature microRNAs differentially expressed in colorectal cancer and non-tumoral tissues. Mol Cancer. 2006;5:29. doi: 10.1186/1476-4598-5-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Green FL, Page DL, Fleming ID, Fritz AG, Balch CM, Haller DG, et al. American Joint Committee on Cancer. Cancer Staging Handbook from the AJCC Cancer Staging Manual. 6th Edition ed. New York: Springer-Verlag; 2006. [Google Scholar]
  • 19.Compton CC, Fielding LP, Burgart LJ, Conley B, Cooper HS, Hamilton SR, et al. Prognostic factors in colorectal cancer. College of American Pathologists Consensus Statement 1999. Arch Pathol Lab Med. 2000;124:979–994. doi: 10.5858/2000-124-0979-PFICC. [DOI] [PubMed] [Google Scholar]
  • 20.Benjamini YaYH. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society Series B (Methodological) 1995;57:289–300. [Google Scholar]
  • 21.Decensi A, Robertson C, Viale G, Pigatto F, Johansson H, Kisanga ER, et al. A randomized trial of low-dose tamoxifen on breast cancer proliferation and blood estrogenic biomarkers. J Natl Cancer Inst. 2003;95:779–790. doi: 10.1093/jnci/95.11.779. [DOI] [PubMed] [Google Scholar]
  • 22.Reding KW, Chen C, Lowe K, Doody DR, Carlson CS, Chen CT, et al. Estrogen-related genes and their contribution to racial differences in breast cancer risk. Cancer Causes Control. 2012;23:671–681. doi: 10.1007/s10552-012-9925-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bovell L, Shanmugam C, Katkoori VR, Zhang B, Vogtmann E, Grizzle WE, et al. miRNAs are stable in colorectal cancer archival tissue blocks. Frontiers in bioscience. 2012;4:1937–1940. doi: 10.2741/514. (Elite edition) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, Petrocca F, et al. A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci U S A. 2006;103:2257–2261. doi: 10.1073/pnas.0510565103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Yantiss RK, Goodarzi M, Zhou XK, Rennert H, Pirog EC, Banner BF, et al. Clinical, pathologic, and molecular features of early-onset colorectal carcinoma. Am J Surg Pathol. 2009;33:572–582. doi: 10.1097/PAS.0b013e31818afd6b. [DOI] [PubMed] [Google Scholar]
  • 26.Calin GA, Croce CM. MicroRNA signatures in human cancers. Nat Rev Cancer. 2006;6:857–866. doi: 10.1038/nrc1997. [DOI] [PubMed] [Google Scholar]
  • 27.Theodore SC, Rhim JS, Turner T, Yates C. MiRNA 26a expression in a novel panel of African American prostate cancer cell lines. Ethnicity & disease. 2010;20 S1-96-100. [PMC free article] [PubMed] [Google Scholar]
  • 28.Zhang L, Huang J, Yang N, Greshock J, Megraw MS, Giannakakis A, et al. microRNAs exhibit high frequency genomic alterations in human cancer. Proc Natl Acad Sci U S A. 2006;103:9136–9141. doi: 10.1073/pnas.0508889103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Rouhi A, Mager DL, Humphries RK, Kuchenbauer F. MiRNAs, epigenetics, and cancer. Mamm Genome. 2008;19:517–525. doi: 10.1007/s00335-008-9133-x. [DOI] [PubMed] [Google Scholar]
  • 30.Chiosea S, Jelezcova E, Chandran U, Acquafondata M, McHale T, Sobol RW, et al. Up-regulation of dicer, a component of the MicroRNA machinery, in prostate adenocarcinoma. Am J Pathol. 2006;169:1812–1820. doi: 10.2353/ajpath.2006.060480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zhang M, Jin M, Yu Y, Zhang S, Wu Y, Liu H, et al. Associations of miRNA polymorphisms and female physiological characteristics with breast cancer risk in Chinese population. European journal of cancer care. 2012;21:274–280. doi: 10.1111/j.1365-2354.2011.01308.x. [DOI] [PubMed] [Google Scholar]
  • 32.Salisbury BA, Pungliya M, Choi JY, Jiang R, Sun XJ, Stephens JC. SNP and haplotype variation in the human genome. Mutat Res. 2003;526:53–61. doi: 10.1016/s0027-5107(03)00014-9. [DOI] [PubMed] [Google Scholar]
  • 33.Huang L, Lin JX, Yu YH, Zhang MY, Wang HY, Zheng M. Downregulation of six microRNAs is associated with advanced stage, lymph node metastasis and poor prognosis in small cell carcinoma of the cervix. PLoS One. 2012;7:e33762. doi: 10.1371/journal.pone.0033762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Calin GA, Dumitru CD, Shimizu M, Bichi R, Zupo S, Noch E, et al. Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc Natl Acad Sci U S A. 2002;99:15524–15529. doi: 10.1073/pnas.242606799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Fujita Y, Kojima K, Hamada N, Ohhashi R, Akao Y, Nozawa Y, et al. Effects of miR-34a on cell growth and chemoresistance in prostate cancer PC3 cells. Biochem Biophys Res Commun. 2008;377:114–119. doi: 10.1016/j.bbrc.2008.09.086. [DOI] [PubMed] [Google Scholar]
  • 36.Tazawa H, Tsuchiya N, Izumiya M, Nakagama H. Tumor-suppressive miR-34a induces senescence-like growth arrest through modulation of the E2F pathway in human colon cancer cells. Proc Natl Acad Sci U S A. 2007;104:15472–15477. doi: 10.1073/pnas.0707351104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Seton-Rogers S. MicroRNA: Stage-specific signatures. Nature Reviews Cancer. 2009;9:766–767. [Google Scholar]
  • 38.Hurst DR, Edmonds MD, Welch DR. Metastamir: the field of metastasis-regulatory microRNA is spreading. Cancer research. 2009;69:7495–7498. doi: 10.1158/0008-5472.CAN-09-2111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Shibuya H, Iinuma H, Shimada R, Horiuchi A, Watanabe T. Clinicopathological and prognostic value of microRNA-21 and microRNA-155 in colorectal cancer. Oncology. 2010;79:313–320. doi: 10.1159/000323283. [DOI] [PubMed] [Google Scholar]
  • 40.Faltejskova P, Besse A, Sevcikova S, Kubiczkova L, Svoboda M, Smarda J, et al. Clinical correlations of miR-21 expression in colorectal cancer patients and effects of its inhibition on DLD1 colon cancer cells. Int J Colorectal Dis. 2012 doi: 10.1007/s00384-012-1461-3. [DOI] [PubMed] [Google Scholar]
  • 41.Nielsen BS, Jorgensen S, Fog JU, Sokilde R, Christensen IJ, Hansen U, et al. High levels of microRNA-21 in the stroma of colorectal cancers predict short disease-free survival in stage II colon cancer patients. Clin Exp Metastasis. 2011;28:27–38. doi: 10.1007/s10585-010-9355-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Vickers MM, Bar J, Gorn-Hondermann I, Yarom N, Daneshmand M, Hanson JE, et al. Stage-dependent differential expression of microRNAs in colorectal cancer: potential role as markers of metastatic disease. Clin Exp Metastasis. 2012;29:123–132. doi: 10.1007/s10585-011-9435-3. [DOI] [PubMed] [Google Scholar]
  • 43.Slaby O, Svoboda M, Fabian P, Smerdova T, Knoflickova D, Bednarikova M, et al. Altered expression of miR-21, miR-31, miR-143 and miR-145 is related to clinicopathologic features of colorectal cancer. Oncology. 2007;72:397–402. doi: 10.1159/000113489. [DOI] [PubMed] [Google Scholar]
  • 44.Feng YH, Wu CL, Tsao CJ, Chang JG, Lu PJ, Yeh KT, et al. Deregulated expression of sprouty2 and microRNA-21 in human colon cancer: Correlation with the clinical stage of the disease. Cancer Biol Ther. 2011;11:111–121. doi: 10.4161/cbt.11.1.13965. [DOI] [PubMed] [Google Scholar]
  • 45.Schmitz KJ, Hey S, Schinwald A, Wohlschlaeger J, Baba HA, Worm K, et al. Differential expression of microRNA 181b and microRNA 21 in hyperplastic polyps and sessile serrated adenomas of the colon. Virchows Arch. 2009 doi: 10.1007/s00428-009-0804-0. [DOI] [PubMed] [Google Scholar]
  • 46.Nakajima G, Hayashi K, Xi Y, Kudo K, Uchida K, Takasaki K, et al. Non-coding MicroRNAs hsa-let-7g and hsa-miR-181b are Associated with Chemoresponse to S-1 in Colon Cancer. Cancer Genomics Proteomics. 2006;3:317–324. [PMC free article] [PubMed] [Google Scholar]
  • 47.Iliopoulos D, Jaeger SA, Hirsch HA, Bulyk ML, Struhl K. STAT3 activation of miR-21 and miR-181b-1 via PTEN and CYLD are part of the epigenetic switch linking inflammation to cancer. Mol Cell. 2010;39:493–506. doi: 10.1016/j.molcel.2010.07.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Deng N, Goh LK, Wang H, Das K, Tao J, Tan IB, et al. A comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets. Gut. 2012;61:673–684. doi: 10.1136/gutjnl-2011-301839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ho CK, Wood JR, Stewart DR, Ewens K, Ankener W, Wickenheisser J, et al. Increased transcription and increased messenger ribonucleic acid (mRNA) stability contribute to increased GATA6 mRNA abundance in polycystic ovary syndrome theca cells. The Journal of clinical endocrinology and metabolism. 2005;90:6596–6602. doi: 10.1210/jc.2005-0890. [DOI] [PubMed] [Google Scholar]
  • 50.Katkoori VR, Jia X, Shanmugam C, Wan W, Meleth S, Bumpers H, et al. Prognostic significance of p53 codon 72 polymorphism differs with race in colorectal adenocarcinoma. Clin Cancer Res. 2009;15:2406–2416. doi: 10.1158/1078-0432.CCR-08-1719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Ikenaga N, Ohuchida K, Mizumoto K, Yu J, Kayashima T, Sakai H, et al. MicroRNA-203 Expression as a New Prognostic Marker of Pancreatic Adenocarcinoma. Ann Surg Oncol. 2010;17:3120–3128. doi: 10.1245/s10434-010-1188-8. [DOI] [PubMed] [Google Scholar]
  • 52.Greither T, Grochola LF, Udelnow A, Lautenschlager C, Wurl P, Taubert H. Elevated expression of microRNAs 155, 203, 210 and 222 in pancreatic tumors is associated with poorer survival. Int J Cancer. 2010;126:73–80. doi: 10.1002/ijc.24687. [DOI] [PubMed] [Google Scholar]
  • 53.Madhavan D, Zucknick M, Wallwiener M, Cuk K, Modugno C, Scharpff M, et al. Circulating microRNAs as Surrogate Markers for Circulating Tumour Cells and Prognostic Markers in Metastatic Breast Cancer. Clin Cancer Res. 2012;18:1–11. doi: 10.1158/1078-0432.CCR-12-1407. [DOI] [PubMed] [Google Scholar]
  • 54.Jin J, Deng J, Wang F, Xia X, Qiu T, Lu W, et al. The expression and function of microRNA-203 in lung cancer. Tumour Biol. 2012 doi: 10.1007/s13277-012-0556-3. [DOI] [PubMed] [Google Scholar]
  • 55.Luo X, Burwinkel B, Tao S, Brenner H. MicroRNA signatures: novel biomarker for colorectal cancer? Cancer Epidemiol Biomarkers Prev. 2011;20:1272–1286. doi: 10.1158/1055-9965.EPI-11-0035. [DOI] [PubMed] [Google Scholar]
  • 56.Wang M, Gu H, Wang S, Qian H, Zhu W, Zhang L, et al. Circulating miR-17-5p and miR-20a: Molecular markers for gastric cancer. Molecular medicine reports. 2012;5:1514–1520. doi: 10.3892/mmr.2012.828. [DOI] [PubMed] [Google Scholar]
  • 57.Valladares-Ayerbes M, Blanco M, Haz M, Medina V, Iglesias-Diaz P, Lorenzo-Patino MJ, et al. Prognostic impact of disseminated tumor cells and microRNA-17-92 cluster deregulation in gastrointestinal cancer. Int J Oncol. 2011;39:1253–1264. doi: 10.3892/ijo.2011.1112. [DOI] [PubMed] [Google Scholar]
  • 58.Feng B, Dong TT, Wang LL, Zhou HM, Zhao HC, Dong F, et al. Colorectal Cancer Migration and Invasion Initiated by microRNA-106a. PLoS One. 2012;7:e43452. doi: 10.1371/journal.pone.0043452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Ma Y, Zhang P, Yang J, Liu Z, Yang Z, Qin H. Candidate microRNA biomarkers in human colorectal cancer: systematic review profiling studies and experimental validation. Int J Cancer. 2012;130:2077–2087. doi: 10.1002/ijc.26232. [DOI] [PubMed] [Google Scholar]
  • 60.Link A, Balaguer F, Shen Y, Nagasaka T, Lozano JJ, Boland CR, et al. Fecal MicroRNAs as novel biomarkers for colon cancer screening. Cancer Epidemiol Biomarkers Prev. 2010;19:1766–1774. doi: 10.1158/1055-9965.EPI-10-0027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Diaz R, Silva J, Garcia JM, Lorenzo Y, Garcia V, Pena C, et al. Deregulated expression of miR-106a predicts survival in human colon cancer patients. Genes Chromosomes Cancer. 2008;47:794–802. doi: 10.1002/gcc.20580. [DOI] [PubMed] [Google Scholar]
  • 62.Grizzle WEBW, Sexton KC. Translational Pathology of Early Cancer. Amsterdam, The Netherlands: IOS Press BV; 2012. Issues in collecting, processing and storing human tissues and associated information to support biomedical research. [DOI] [PMC free article] [PubMed] [Google Scholar]

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