An adequate number of subjects who do not have colon cancer need to be chosed randomly.To avoid bias, and ensure that biomarker selection and outcome assessment does not influence each other, a prospective specimen collection retrospective blinded evaluation (PRoBE) design randomized selection 54 of control subjects and case patients from consented cohort population are chosen without knowing a priori who has what diagnosis, and will want to collect the stool specimen prior to removal of the lesion, in addition to collected consenting specimens on patients undergoing colonoscopy to form a suitable cohort to randomly selected the appropriate number of colon cancers. Then adenoma cases are matched 1 to 1 to the cancer cases for age (+/- 5 years), gender, clinic and month of diagnosis. Similarly, the normal controls from among the collected specimens are matched to the cancer and adenoma cases. If there is no match, the data are liberalized to allow +/- 2 months, in order to have collected a case-case-control group nested in the overall colonoscopy cohort that is collected. The quantitative miRNA analysis by RCA is then carried out on all coded samples at once, with the investigators blind to knowledge of the patients’ diagnosis, so that no analytical bias is introduced. While there may be some volunteer bias present, which may affect the studied miRNA markers, it is recommended to collecte demographic and clinical data on both groups (those who participated and those who did not) and compare for the following factors: age, gender, race/ethnicity, reason for colonoscopy, diagnoses, so that an assessment can be made at the conclusion of the study as to what degree selection may have affected study results.

A six aims and a proposed timeline for achieving these aims in a 5 year clinical research study are detailed in Table 1 below:

1. Standardize sample acquisition, processing and handling; justify number of selected subjects & epidemiologically randomize selection of study population.

2. Standardize total RNA extraction from stool colonocytes by strict quality assurance (QA) criteria, and perform Rolling Circle Amplification (RCA) to study microRNAs gene expression at various stages (0- IV) of colon cancer (CC) progression.

3. Employ epigenetic methods to study genetic heterogeneity by identifying MSS & MSI phenotypes, as well as investigating promoter methylation in miRNA genes at various stages of CC Progression

4. Finalize accessing test performance characteristics of the proposed RCA diagnostic approach for colon cancer.

5. Use statistical methods for data analyses.

6. Provide and carry out alternate standardized technical methods for achieving the above aims in the unlikely event that the proposed approach, or the outlined methods fail to achieve study goals.

RNA isolation procedures (both automatic and manual), compared to those used for isolation of DNA from stool samples 5472737475767778, are standardized and made simple by us using improved commercially available reagents and kits 335179 to extract high quality total RNA from an environment as hostile as stool 80; thus, shattering the myth that it is difficult to employ RNA as a screening substrate. The trick is to stabilize total RNA shortly after obtaining fresh stool by fixing samples in a chaotropic agent and observing that RNA does not ever fragment thereafter. Fragmented RNA results in poor cDNA synthesis, and ultimately in less than optimal RCA amplification.

Total RNA can be manually isolate from colon laser capture microdissected (LCM) tissue, and from stool by using Qiagen’s RNeasy Isolation Kit^® (Qiagen, Valencia, CA) containing a RLT buffer (a guanidinium-based solution) according to manufacturer’s instructions, getting the advantage of manufacturer’s established validation and quality control standards, thereby increasing the probability of good results. Generally, total RNA isolated from stool is suitable for amplification of miRNAs by RCA without the need to further purify mRNA because purified mRNA involves additional steps, and the increased sensitivity could be balanced for by the potential loss of material 67.

Isolated RNA in nuclease-free water can be stored at -80^oC until needed. It can then be quantified spectrophotometrically at 260 nm. Acquiring sufficient mRNA to analyze from stool or isolated colonocytes is feasible, as each cell contain ~ 20 pg total RNA, and only few nanograms are needed per RCA reaction 81.

A total of 50 pmol of forward and reverse oligonucleotides (Invitrogen), according to the sequence of the interrogated miRNA, can be annealed by incubation at 75^oC for 5 min, and then slowly cooled to room temperature (~ 30 min). The fill-in reaction to form dsDNA template can be performed in a 20 µl volume containing 10 mM Tris-HCl, 50 mM NaCl, 10 mM MgCl₂, 1 mM DTT, 0.25 mM dNTPs and 5U Klenow Fragment (3’ – 5’ exo) (New England Biolabs) at 37^oC for 1 h. Then the reaction mixture can heated at 75^oC for 20 min to inactivate the enzyme, and slowly cooled to room temperature for dscDNA annealing (see Figure 1A, upper level).

A total of 20 µl of the above dsDNA template mixture can be added into 30 µl of in vitro transcription buffer containing 0.5 mM NTPs, 40 mM Tris-HCl, 6 mM MgCl₂, 10 mM dithiothreitol (DTT), 2 mM spermidine, 100 U ribonuclease inhibitor and 50 U T7 RNA polymerase (New England Biolabs). The reaction can be run at 37^oC for 4 h, then 1 U of RNase-free DNase I is added to digest DNA template, followed by purification of precursor miRNAs in transcription mixture with phenol/chloroform extraction. Transcript precursor miRNAs can be examined by running 2% agarose gel, and the concentration is determined spectrophotometrically at a wave length of 260 nm.

Before miRNA is reverse transcribed, the RT primer is to be chemically phosphorylated at the 5’ end by heating a 0.5 nmol RT primer to 75^oC for 5 min, then chilling on ice prior to treatment with kinase. The 50 µl reaction volume containing 50 mM Tris-HCl (pH 8.0), 10 mM MgCl₂, 5 mM DTT, 2 mM DTT, 1 mM ATP, 20 U T4 polynucleotide kinase and DNA probe formation can be carried out at 37^oC for 2 h, followed by inactivation of the T4 polynucleotide kinase at 65^oC for 20 min.

RT reaction for formation of cDNA from miRNA can be carried out in a 10 µl reaction volume that contains 1µl of total RNA sample, 500 nM 5’-phosphorylated RT primers, 20 U MultiScribeÔ RT (Applied Biosystems, Foster City, CA) , 50 µM dNTPs and 1X reaction buffer (pH 8.3, 50 mM Tris-HCl, 75 mM KCl and 3 mM MgCl₂), followed by the addition of 2.5 U Ribonuclease H at 37^oC for 20 min for the degradation of miRNA strand in the RNA-DNA hybrid. These steps can be followed up by probe ligation and rolling circle amplification (see Figure 1B and Figure 2).

Jonstrup et al24Figure 2 developed a linearly amplified simple detection system by using miRNA as a template to cyclize padlock probes as a primer for RCA, achieving a detection limit of ~ 10 pm. However, while the method is simple, linear amplifications by itself cannot satisfy the requirements for high detection sensitivity. A T7 exonuclease-assisted cyclic enzymatic (CEAM) amplification is based on nucleases in which one target leads to many cycles of target dependent nuclease cleavage of reporter probes for output signal amplification. Exonuclease III (Exo II), for example, catalyzes the stepwise removal of mononucleotides from the 3’-blunt or recessed terminus of duplex DNA. This unique property of Exo III-based CEAM allowed it to be widely used for optical (fluorescence, UV-Visible, SPR) and also for electrical amplifications for the detecting DNA, proteins and small molecules 82. However, because of the linear nature of the amplification process, it was able to only achieve detection limits in the pico molar (pM) range. Additionally, the limited intrinsic properties of the nucleases used have made earlier CEAMs not applicable to miRNA targets 83.

For extraction of genomic DNA from stool in a LRS, a manual extraction for stool samples that employs a QIAamp DNA Stool Mini Kit (Qiagen, Valencia, CA), can be used.

A fast, convenient method for label-free detection of amplified markers, which can be routinely carried out, using genomic DNA isolated from stool colonocytes by the DNA Extraction Kit (Qiagen), on 6 of the 10 Bethesda markers recommended by NCI 122. These include: three mononucleotide repeats (BAT-25, -26 and -40) and three dinucleotide repeats (D2S123, D5S346 and D17S250), which have shown a sensitivity of >96%, and a specificity of >99% for identifying tumors with MMR deficiency. The presence of MSI-H correlates with an older age of diagnosis, the presence of tumors in the proximal colon and female sex. A cut of 30% for markers has been recommended to use for classifying tumors with MSI-H 104. Label-free amplification with reagents found in the Gold Taq Kit (Applied Biosystems) can be used, as details in references 123124. Upon completion of the non-PCR amplifications in foam cups or boxes, the products of each individual sample can be processed by on-chip electrophoresis using a DNA 1000 Lab Chip in the Agilent 2100 Bioanalyzer 125126.

Modifying the genomic DNA before non-PCR amplification by sodium metabisulfite treatment 127 can be employed, followed by DNA recovery using a modified Qiagen Viral RNA Mini Kit 128, and eluted DNA samples can be stored at -80^oC until needed. Methyl Light analysis can performed by fluorescence-based assay, using β-actin as a reference normalization gene. The % of fully methylated molecule at a specific locus, called PMR, is then calculated 129130. SAS software can be used to determine the statistical significance of the results. The two major molecular CC subgroups (MSS and MSI) can be studied in selected miRNAs, at various stages of CC progression in stool samples as a complex molecular signature using factor analysis (FA) 131, combined with linear discriminate analysis (LDA) 132 to identify the cancer’s molecular characteristics.

If the difference in miRNA gene expression between healthy and cancer patients and among the stages of cancer at the end of the study is as large and as informative for multiple miRNA genes, suggesting that classification procedures could be based on values exceeding a threshold, then sophisticated classification would not be needed to distinguish between the two study groups. However, if inconsistent differences on large samples are found, then it is recommended to use predictive classification methods, as detailed below.

The goal in predictive classification will be to assign cases to predefined classes based on information collected from the cases. In the simplest setting, the classes (i.e., tumors) are labeled cancerous and non-cancerous. Statistical analyses for predictive classification of the information collected (i.e., microarrays and qPCR on miRNA genes) attempt to approximate an optimal classifier. Classification can be linear, nonlinear, or nonparametric 140141. The miRNA expression data are to be analyzed first with parametric statistics such as Student t-test or analysis of variance (ANOVA) if data distribution is random, or with nonparametric Kruskall-Wallis, Mann-Whitney and Fisher exact tests, if distribution is not random 142. If needed, complicated models as multivariate analysis and logistic discrimination 143 can also be employed.

False positive discovery rates (expected portion of incorrect assignment among the expected assignments) can also be assessed by statistical methods 144145146147, as it could reflect on the effectiveness of test because of the need to do follow up tests on false positives. The number of optimal miRNA genes needed to achieve an optimum gene panel for predicting carcinogenesis in stool can also be established by statistical methods.

For the corrected index, cross-validation 148 can be used to: protect against overfitting, address the difficulties with using the data to both fit, assess the fit of the model, and determine the number of samples needed for a cancer study, where the expected proportion of genes’ expression common to two independently randomly selected samples is estimated to be between 20% and 50% 144. Efron and Tibshirani 149 suggested dividing the data into 10 equal parts and using one part to assess the model produced by the other nine; this is repeated for each of the 10 parts. Cross-validation provides a more realistic estimate of the misclassification rate. The area under the ROC curves, (in which sensitivity is plotted as a function of (1 – specificity)), can be employed to describe the trade-off between sensitivity and specificity 150151.

Power analysis can be implemented for estimating sample size in such a study 152. Moreover, power analysis, as well as first and second order validation studies can be carried out to access the degree of separation and reproducibility of our data 153.

Principal component analysis (PCA) 154, which is a multivariate dimension reduction technique to simplify grouping of genes that show aberrant expression from those not showing expression, or a much reduced expression, can be employed. In cases where several genes by themselves appear to offer distinct & clear separation between control or cancer cases in stool samples, a predictive miRNA Index (PMI) may not be needed.

If by the end of the study, the miRNA gene panel (or a derived PMI) is better than existing screening methods, all of the data generated can be used to assess the model so over-fitting is not a concern. The level of gene expression can be displayed in a database using parallel coordinate plots 155156 produced by the lattice package in R (version 2.9.0, The R Foundation for Statistical Computing, http://cran.r-project.org), and S-plus software (Insightful Corporation, Seattle, WA). Other packages such as GESS (Gene Expression Statistical System) published by NCSS (www.ncss.com) can also be employed, with each subject having his or her medical record number as the key ID for merging various tables in the database.

If results show that individual miRNA genes offer distinct and clear separation between control and cancer, there will be not need to derive a predictive miRNA index (PMI) 157158. It may, however, be necessary to do so if data were not supportive. In this case, results of the quantitative expression of the miRNA genes can be used to determine a cutoff for a positive result. PMI results above or below the cutoff are to considered positive or negative, respectively, in all subsequent studies. Resulting data can then be then used to check the sensitivity and specificity of the index using a two by two matrix (Table 2) 159. If the sensitivity falls below 90% or the specificity falls below 95%, forthcoming data using additional miRNA genes can then be used with linear or logistic discriminant analysis to refine the index.

Above methods represent the most practical, least labor-intensive and economical approach to accomplish research aims. However, in few problematic samples (< 5%) in control, or pre-malignant or malignant cases, it may be necessary to use other methods. However, because the error rate is so small and would occur in control and cases, adopting different extraction/analyses methods will not bias results.

In very few samples, inhibitors present in stool may make it difficult to isolate RNA using Qiagen kits that provide the advantage of manufacturer's established validation and QC standards. In such cases, RNA can be manually isolated by a modification of the classical acid guanidinium thiocyanate-phenol-chloroform (AGPC) method 160, using chaotropic guanidinium thiocyanate (GSC) that inactivates ribonucleases and most microorganisms.

Signosis, Inc., Sunnyvale, CA (www.signosisinc.com) introduced high throughput plate assay for monitoring individual miRNAs, without the need to carry out a RT reaction. In that assay one of the bridge oligos partially hybridizes with the miRNA molecule and the capture oligo, and another bridge forms a hybrid between the miRNA molecule and the detection oligo. The hybrid that is sensitive to the miRNA sequence is immobilized onto a plate and detected by a streptavidin-horse radish peroxidase conjugate and chemiluminescent substrate using a plate reader. One oligonucleotide difference prevents hybrid formation; thus miRNA isoform could be differentiated.

MiRNAs are resistant to ribonucleases present in stool, probably by inclusion in lipid or lipoprotein complexes 161 in either microvessicles (up to 1 µm), or in small membrane vesicles of endocytic origin known as exosomes (50-100 nm) 162. The mechanism of release of miRNAs from exosomes and microvesicles is unclear, although an apoptotic delivery candidate is shed from cells during apoptosis 163. Exosomes released from human and murine mast cell lines were shown to contain mRNAs and miRNAs 164. MiRNAs in microvessicles regulate cellular differentiation of blood cells and certain metabolic pathways, and modulate immune functions 165. MiRNA signatures of tumor-derived exosomes function as diagnostic markers in ovarian cancer, and tumor-derived miRNA profiles are not significantly different from exosomal miRNA profiles 166. Exosomal miRNAs was extracted from stool colonocytes by differential centrifugation, followed by filtration through 0.22 µm filters to remove cell debris, total RNA extracted by Trizol & concentration measured spectrophotometrically at λ 280 164.

Diagnostic technologies have been developed and have been applied in LRS. For example, Wong et al modified a hand-powered egg beater into a centrifuge to isolate human plasma from whole blood 86Figure 5, which can be employed in this research as a simple centrifuge suitable for us in LRS.

Lateral-flow tests are now widely used in testing of genetically modified organisms in food 87. However, due to several limitations, lateral flow assays cannot provide sufficient sensitivity and specificity required for accurate diagnosis in many cases 88. Several paper-based microfluidic devices have been reported for use in bioanalysis to detect glucose and protein, pH and alkaline phosphatase 89. LaBarre and his colleagues validated a first complete, non-instrumented nucleic acid amplification test (NAAT) for loop-mediated isothermal amplification assay (LAMP) made from a reusable $4 insulated soup thermos container 5.

Nucleic acid-based assays have been successfully implemented in recent years in many fields exploiting their rapid and accurate analysis in several areas such as medical diagnostics, forensics, environmental analysis and biodefense 9091. Standard, tube-based real-time qPCR can produce results within 30 min 92. However, the need for precise temperature control requiring use of a thermocycler or an alternate precise heat controller capable of functioning at a wide range of temperatures, skilled personnel and very clean conditions have made it challenging to utilize qPCR in many resource limited settings. Hence, the development of an affordable lower temperature, isothermal amplification device/assay has been an attractive option.

A low throughput (LT) microfluidic chip (Figure 6A) to be used in this kind of low-resource research can be constructed from six layers of cyclic olefin polymer (COP) film (Zeon Chemicals, Louisville, KY). The microfluidic channels are made by cutting 188 µm thick COP films using a Graft ROBO Pro CE5000-40 cutter plotter (Graphtec America Inc, Irvine, CA) 93. The two sheets with inlet and outlet holes and the four sheets of cut films are stacked and thermally bonded in a hot press (Heated Press 4386, Carver, Wabash, IN) at 125^oC for 20 min with 1.5 tons of pressure followed by 10 min of curing at 137oC without any pressure. The inlet and outlet bridge channels are 188 µm high, 200 µm wide and 10 mm long. The reaction chamber measuring 0.75 x 2.5 x 15 mm can hold a helicase-dependent isothermal amplification (HAD) reaction with a volume of 25 µl 6.

A high throughput (HT) microfluidic chip (Figure 6B) that can be used in such research can be fabricated in thermoplastic Zeonex 690R (Zeon Chemicals, Louisville, KY) by hot-embossing a blank 0.7 mm thick Zeonex plaque using an epoxy master mold and then thermally sealing the imprinted channel with a 0.7 mm blank Zeonex cover slip 94. Three open ports in the chip were fitted with nanoports (Upchurch Scientific, Oak Harbor, WA) using epoxy glue to facilitate loading the specimens, adding reagents and collecting amplification products. The entire chip is 70 mm in length, 25 mm in width and 1.4 mm in height.

The integrated chip consists of three functional chambers: a solid phase extraction (SPE) column for sample preparation and RNA extraction 95, an RT chamber, and amplification channels as shown in Figure 6B. The SPE column was made with a mixture of 16% v/v ethylene dimethacrylate, 24% butyl metacrylate, 42% 1-dodecanol, 18% cyclohexanol and 1% photoinitiator 2-dimethylamino-4-(methyl-phenylamino)-phenol. Silica microspheres were added into the monolith solution in a 1:1 ratio (v/v).

The monolith was cross linked by UV irradiation using an Ultraviolet Crosslinker (CL-1000, UPV Inc, Upland CA) for 5 min through both sides of the chip. Silica microspheres (0.7 µm, Polysciences, Inc) were prepared by centrifugation at 6,600 rpm for 5 min, aspirating the suspension solution and drying on heat block overnight to remove excess water. The inner channel surface was grafted with 97% v/v methylacrylate and 3% v/v benzophenone, UV irradiated for 10 min at λ 265 nm in an Ultraviolet Crosslinker as described above to facilitate covalent attachment between the SPE column and the inner plastic channel surface.

Reagents for SPE column fabrication can be purchased from Sigma (St Louis, MO). Before fabrication of the SPE column, the channel was cleaned with 50 µl RNAse Away (Molecular BioProducts, San Diego, CA) and then rinsed with 100 µl nuclease free water. Dr. Catherine M Klapperich of Department of Boston University Mechanical Engineering Department, Boston, MA provided us with prototypes of these devices to try during the data generating phase of the study.

In the proposed research, we have simplified making these microfluidic devices by methods such as using sharp blades for cutting the thermoplastic polymers, using double adhesive surfaces for binding polymers, instead of employing a hot press to make these microfluidic devices more amenable to manufacturing in LRS.

As seen in Figure 7 and Figure 8, the microfluidic devices are housed in a Styrofoam cup or box, for the low-throughput and high throughput devices, respectively. If reactions are carried out at room temperature, nothing else will be needed. For reactions requiring 37^oC, liquid sodium acetate will be used as heat source. In a purified form, at typical ambient temperatures, liquid NaAc is thermodynamically unstable, but kinetically stable due the absence of nucleating sites for crystal formation. The application of a mechanical shock, like dropping thermometer in the container initiates exothermic crystallization, and when mixed with a 25% aqueous solution, the phase change occurs repeatedly at ~ 37oC 5.

In this system, NaAc acts as both the exothermic reactant and the engineered phase change material (EPCM) 96. This system has the advantage of being regenerable (for example, to immersion of the NaAc in boiling water) and is the preferred system for isothermal amplification methods operating at temperatures below 45^oC, as well as for other diagnostic applications requiring heating below 45^oC 97. For temperatures of ~ 55^oC, CaO can be used 5.

For amplifications requiring a temperature of 65^oC, a toe warmer containing iron, salt, activated carbon, cellulose and vermiculite can be used as a heating source due to the oxidization of the iron powder in an exothermic reaction 6.

Temperature control during a given experiment can be governed by a number of 1 mm diameter vent holes punched on the opposite sides of the Styrofoam cup or box. The more holes, the more vapor particle can be trapped to react with iron. Therefore, by controlling the number of holes on the Styrofoam cup or box, the temperature and duration of the reaction can be manipulated.

A thermocouple attached to the microfluidic reaction chamber, instead of a thermometer, can also be used to monitor the microfluidic reaction temperature.

Review of Worldwide scientific literature has shown that for colon cancer screening, miRNA markers are more comprehensive and preferable to a DNA- 55, epigenetic-, mRNA- 51, a protein-based marker 56, or to a FOBT test 57. An added advantage of the use of the stable, nondegradable miRNAs by RCA-based methods is the potential for using a simple amplification platform consisting of polymer-based microfluidic chips and disposable Styrofoam cups, which makes this platform much more economical and more easily acceptable by laboratory personnel performing these assays in low-resource settings.

Links between miRNAs and CRC have been reported in several studies in cells in culture, blood or tissue 5859; colon cancer cell lines 6061; colon adenocarcinoma tumors 62; stage II colon cancer 63; serum of CRC patients 64; blood of colon cancer patients 65; and human stool 336667.

Stool testing has several advantages over other colon cancer screening methods as it is truly noninvasive and requires no unpleasant cathartic preparation, formal health care visits, or time away from work or routine activities. Unlike sigmoidoscopy, it reflects the full length of the colorectum and samples can be taken in a way that represents the right and left side of the colon. It is also believed that colonocytes are released continuously and abundantly into the fecal stream, contrary to blood that is released intermittently as in guaiac FOBT 6869; therefore, this natural enrichment phenomenon partially obviates the need to use a laboratory technique to enrich for tumorigenic colonocytes, as for example when blood is used for testing. Furthermore, because testing can be performed on mail-in-specimens, geographic access to stool screening is essentially unimpeded. The ACS has recognized stool-based molecular testing as a promising screening technology for CRC (www.cancer.org).

Our results and others have shown that the presence of bacterial DNA, non-transformed RNA and other interfering substances in stool does not interfere with measuring either mRNA or miRNA expression 336670. Besides, stool colonocytes contain much more miRNA and mRNA than that available in free circulation such as in plasma 656670. To further ensure that we are choosing human and not bacterial genes, we have sequenced ten samples at the start of the research using whole-transcriptome RNAseq analysis from small amounts of extracted total RNA 71.

Three major forms of genetic instability in colon cancer have been described based on the presence or absence of functional DNA mismatch repair (MMR) 9899100, contributing further to the enormous heterogeneity of CC.

In about 15-20% of sporadic CRC cases and in most patients with HNPCC/Lynch syndrome, tumors with defective mismatch (dMMR) leads to the presence of a phenotype termed microsatellite instability (MSI) 101, characterized by the absence of protein expression of any one of several genes involved in DNA repair, including hMLH1. hMSH2, hMSH6 orhPMS102. MSI is recognized by the presence of insertion and deletion mutations in replicative DNA sequences termed microsatellites, which consist of repeating mononucleotide, dinucleotide, or polynucleotide sequence loci. In sporadic CRC, three distinct MSI phenotypes have been characterized: i) MSS (none of the loci demonstrate instability and is believed to have evolved through the classical adenoma-carcinoma sequence, ii) MSI with low instability (MSI-L; from < 30 to 40% of loci), and iii) MSI with high instability (MSI-H; from 30% to > 40% of loci) 103, mostly due to inactivation of hMLH1 gene 104.

In about 40% of colon cancers that are characterized by epigenetic changes, especially cytosine DNA hypermethylation, a phenomenon termed “CpG Island Methylator Phenotype”, CIMP 105106, is associated with the 5’ regulatory end and spanning the promoter region of almost all housekeeping genes, as well as half of tissue-specific genes, leads to genetic instability and mutation 107108. It is a reversible process catalyzed by three major DNA methyltransferases (DNMT1, DNMT3a and DNMT3b) 109. By combining mutation with epigenetic analyses, 3 subclasses of CC with distinct clinicopathological features were identified (CIMP1, CIMP2 and CIMP negative) 110. Other critical epigenetic marks are chemical modification of N-terminal tails of chromatin protein histone through complex postranslational modifications such as lysine acetylation, arginine and lysine methylation or serine phosphorylation. MSI/CIMP^+ve and MSS/CIMP^-ve are a subset of proximal CCs believed to have evolved through flat lesions that include both adenomas and serrated polyps 111.

In the remaining 45% of CCs, chromosomal instability (CIN) such as aneuploid or polyploid karyotypes leads to translocations (gains and losses of large segments of chromosomes) 112; but will not be studies in this project.

Colon tumors show differential expression of miRNAs depending on mismatch repair status. MiRNA expression in colon tumors has an epigenetic component, and altered expression that may reflect a reversion to regulatory programs characteristic of undifferentiated proliferative developmental states 113.

MiRNAs also undergo epigenetic inactivation 110, and miRNA expression in CRC is associated with MSI subgroups 114115. MiRNAs may affect chromatin structure by regulating key histone modification; for example, cartilage-specific miR-140 targets histone deacetylase 4 in mice 116, and miRNAs may be involved in meiotic silencing of unsynapsed chromatin in mice 117. In addition, DNA methylation enzymes DNMT1, 3a and 3b were predicted to be potential miRNA targets 118. Moreover, a specific group of miRNAs (epi-miRNAs), miR-107, -124a, -127, directly target effectors of the epigenetic machinery such as DNMTs, histone deacetylases and polycomb repressive complex genes, and indirectly affect the expression of suppressor genes 119120121. The challenge has been to identify those driver methylation changes that are critical for tumor initiation, and distinguish these from methylation changes that are merely passenger events that accompany the transformation process but that have no effect per se on carcinogenesis. In this study we will look at genetic instability in stool of CC patients.

We studies promoter methylation using MethylLight analysis for 11 miRNAs: 7 genes showing increased expression (miR-1991-3p, miR-196a, miR-96, miR-214, miR-21, miR-201, miR-106a), and 4 showing decreased expression (miR-1275p, miR-222, miR-146a miRNA-143) in genomic DNA extracted from stool of 20 individuals (4 normal, 4 TNM stage 0-I, 4 stage II, 4 stage III and 5 stages IV) by the sensitive MethylLight method 164. The various genes varied to some extent with respect to their sensitivities to promoter methylation, with some values ≥ 60% for stage IV (miRNA-199a-3p, miRNA-96, miRNA-214, miRNA-21), some in the 30s% in stage IV CC (miRNA-106a, miRNA-146a, miRNA-143), and some in between (miRNA-196a, miRNA-20a, miRNA-127-5p, miRNA-222) (Table 3).

Isothermal amplification values of the miRNA gene panel in stool and colonocyte samples of normal subjects and CC patients can be compared to IHC FOBT test and colonoscopy results obtained from patients’ medical records in the 140 study subjects to access TPC of the miRNA approach.

False positive discovery rates (expected proportion of incorrect assignment among the accepted assignments) can be assed statistically 133134, as it could reflect on the cost effectiveness of our test because of the need to do follow up tests on false positives. The number of optimal miRNA genes needed for correct diagnosis of colon cancer was established by statistical method detailed below.

Ccytological methods Can be used on purified colonocytes isolated from all stages of CC, employing Papanicolaou and Giemsa staining as described for CRC 135 to provide numerical underpinning of the RCA method as a function of total RNA. These methods have shown sensitivity for detecting tumor cells in smears comparable to that found in biopsy specimens (78.1% versus 83.66%) 136. The numerical method can be accomplished by isolating a known number of colonocytes from 1g stool (from both normal and neoplastic preparations), extracting total RNA from them to determine the actual concentration of total RNA per 1 g of stool sample, running RCA and determining the RCA value of selected miRNA genes in our system, arriving at an average quantitative RCA value per a certain quantity (pg or ng) of total RNA. Colonocytes were isolated from stool using magnetic separation as we detailed before 137138.Then comparing the miRNA expression profile to that of total RNA extracted from whole stool could be construed as a validation that the pattern observed in stool is truly due to the presence of tumor cells therein. Some exsosomal RNA 139 could be released from purified colonocytes into stool, and we have corrected for that effect.

In situ hybridization analysis in tissue microarray (TMA) for miR-21 (Figure 9) can be performed after digestion in protease; the tissue and probe miRNA (1 pmol/µl, 5’ digoxigenin-tagged; Exiqon A/S, Vedbaek, Denmark) were co-incubated at 60^oC for 5 min, then hybridized for 15 h at 37^oC.

After a wash in 0.1X of standard saline citrate (SSC) solution and 2% bovine serum albumin (Sigma-Aldrich, St Louis, MO) at 50^oC for 10 min, the miRNA-probe complex can be visualized via nitroblue tetrazolium and bromochlorindol phosphate (NBT/BCIP) (Roche Molecular Biochemicals, Indianapolis, IN) appears blue due to the action of the alkaline phosphatase that is conjugated to the antidigoxigen in antibody. The figure show high differential expression of the miRNA in the cytoplasm of cancer dells (right part of the image) and low expression in the adjacent normal colonic tissue epithelia (left part of image). The signal is seen in blue due to NBT/BCIP staining, and counterstaining with nuclear fast red 67.

Cytological methods on purified colonocytes that employed Giemsa stain showed a sensitivity for detecting tumor cells in stool smears of 80% for higher stages of CC (stages 3 and 4), which is slightly better than what was reported earlier (i.e., about 78%) 65.

Numerical underpinning of the miRNAs as a function of total RNA can be carried out on colonocytes isolated from stool 165 before any preservative was added to five healthy control samples, and five TNM stage IV colon cancer samples, extracting total RNA from them and determining the actual amount of total RNA per stool sample, and from the average CP values, taking into account that some exsosomal RNA will not be released from purified colonocytes into stool, and arbitrarily corrected for that effect 66. It is evident from our preliminary data shown in Table 4 that an average CP value for stage IV colon carcinoma of 21.90 is invariably different from a CP value of 26.05 for healthy controls.

Test performance characteristics (TPC) of the miRNA approach obtained by the CP values of the miRNA genes calculated from stool colonocyte samples of normal healthy individuals and patients with colon cancer were compared to the commonly used FOBT test and with colonoscopy results obtained from patients’ medical records in 60 subjects (20 control subjects and 40 colon cancer patients with various TNM stages). The data showed high correlation with colonoscopy results obtained from patients’ medical records for the controls and colon cancer patients studied.

It is important to develop reliable and economical nucleic acid amplification techniques (NAAT) & other isolation/separation methods, using readily-available inexpensive instruments and affordable microfluidic-based technologies in low-resource settings (LRS) that meets the ASSURED (Affordable, Sensitive, Specific, User-friendly, Rapid and robust, Equipment-free, and Deliverable to end user) guidelines published by WHO for diagnostic devices for developing countries 1. We have been working on developing reliable diagnostic methods for screening methods for colon cancer during the past 20 years using mRNA and micro(mi)RNA molecules.

We are interested in colorectal cancer (CRC) because it is the 3^rd most common malignancy worldwide, with an estimated one million new cases and half million deaths yearly 28. Epidemiologic, anatomical, cellular and molecular evidence suggest that colon cancers (CCs) and rectal cancers (RCs) represent two distinct types of tumors 29. We have focused our research on employing colon cancer because it is more abundant in the USA, and much more CC patients report to our clinics compared to RC 303132, which will provide researchers all needed CC samples to achieve study aims in reasonable time. We are in the opinion that a combination of basic centrifuges and microfluidic-based miRNA stool test with a reliable rolling circle amplification/detection method results in developing of an affordable sensitive and specific isothermal method for the non-expensive and noninvasive diagnostic screening of colon cancer in LRS.

The discovery of small noncoding protein sequences, 17-27 nucleotides long RNAs (microRNAs (miRNAs)), has opened new opportunities for a non-invasive test for early diagnosis of many cancers 33. There are miRNA sequences from 271 organisms; 38,589 hairpin precursors, and 48,860 mature miRNAs in the October 2018 http://mirbase.org 34. MiRNA functions seem to regulate development 35 and apoptosis 36, and specific miRNAs are critical in oncogenesis 37, effective in classifying solid 3839404142 & liquid tumors 4344, and serve as oncogenes or suppressor genes 45. MiRNA genes are frequently located at fragile sites, as well as minimal regions of loss of heterozygosity, or amplification of common breakpoint regions, suggesting their involvement in carcinogenesis 46. MiRNAs have great promise serving as biomarkers for cancer diagnosis, prognosis and/or response to therapy 33474849. Profiles of miRNA expression differ between normal tissues and tumor types, and evidence suggests that miRNA expression profiles can cluster similar tumor types together more accurately than expression profiles of protein-coding mRNA genes 950.

Unlike screening for large numbers of messenger (m)RNAs, a modest number of miRNAs is used to differentiate cancer from normal 51, and unlike mRNA, miRNAs in stool remain largely intact and stable for detection 33. Therefore, miRNAs are better molecules to use for developing a reliable noninvasive diagnostic screen for colon cancer, since we have found out during our earlier studies that: a) the presence of Escherichia coli does not hinder detection of miRNA by a sensitive technique such as RCA, and b) the miRNA expression patterns are the same in primary tumor, or diseased tissue, as in stool samples 79.

In the past twenty years, physical scientists and engineers, as well as biomedical scientists have become increasingly interested in miRNAs, and have intensified efforts to apply emerging separation/detection tools to these important and bioanalytically challenging small molecules. Some of these approaches incorporate novel material and reagents such as use of manual rotation devices as centrifuges, and use of microfluidic technology, while others have utilized the interesting biological properties of miRNAs --such as forming branched RCA structure-- allowing for the quantitative detection of these biomarker molecules at an "aM" concentration level using low cost extraction and isothermal amplification methods in LRS 6245253.

There has been three principal milestones to be achieved by the end of this research study: