No retraction, correction or concern found when last checked on Oct 19, 2026.
Prognostic Values of microRNAs in Colorectal Cancer.
Yaguang Xi, Andrea Formentini, Minchen Chien and 5 more
PubMed · 2006
Abstract
The functions of non-coding microRNAs (miRNAs) in tumorigenesis are just beginning to emerge. Previous studies from our laboratory have identified a number of miRNAs that were deregulated in colon cancer cell lines due to the deletion of the p53 tumor suppressor gene. In this study, the in vivo significance of some of these miRNAs was further evaluated using colorectal clinical samples. Ten miRNAs (hsa-let-7b, hsa-let-7g, hsa-miR-15b, hsa-miR-181b, hsa-miR-191, hsa-miR-200c, hsa-miR-26a, hsa-miR-27a, hsa-miR-30a-5p and hsa-miR-30c) were evaluated for their potential prognostic value in colorectal cancer patients. Forty eight snap frozen clinical colorectal samples (24 colorectal cancer and 24 paired normal patient samples) with detailed clinical follow-up information were selected. The expression levels of 10 miRNAs were quantified via qRT-PCR analysis. The statistical significance of these markers for disease prognosis was evaluated using a two tailed paired Wilcoxon test. A Kaplan-Meier survival curve was generated followed by performing a Logrank test. Among the ten miRNAs, hsa-miR-15b (p = 0.0278), hsa-miR-181b (p = 0.0002), hsa-miR-191 (p = 0.0264) and hsa-miR-200c (p = 0.0017) were significantly over-expressed in tumors compared to normal colorectal samples. Kaplan-Meier survival analysis indicated that hsa-miR-200c was significantly associated with patient survival (p = 0.0122). The patients (n = 15) with higher hsa-miR-200c expression had a shorter survival time (median survival = 26 months) compared to patients (n = 9) with lower expression (median survival = 38 months). Sequencing analysis revealed that hsa-miR-181b (p = 0.0098) and hsa-miR-200c (p = 0.0322) expression were strongly associated with the mutation status of the p53 tumor suppressor gene. Some of these miRNAs may function as oncogenes due to their over-expression in tumors. hsa-miR-200c may be a potential novel prognostic factor in colorectal cancer.
Shown for reading. Its publisher allows quoting it, not republishing it.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 19, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
microRNAs (miRNAs) are non-coding, single-stranded RNAs of ~22 nucleotides, derived from miRNA duplex complexes processed from larger pre-miRNAs by the RNase III enzyme Dicer. One strand of this duplex can associate with the RNA-induced silencing complex (RISC), while the other strand is generally degraded by cellular nucleases. The miRNA-RISC complex has been shown to bind to specific mRNA targets and cause the translational repression or cleavage of these mRNA sequences. Currently, there are several hundred miRNAs that have been identified. Although miRNA-mediated mRNA degradation occurs in mammals, most miRNAs are thought to use a second mechanism of gene regulation via imperfect base-pairing to the 3′-untranslated regions (3′-UTRs) of their mRNA targets. This results in the repression of target gene expression post-transcriptionally, likely at the translational level of gene expression. Recent studies from our laboratory as well as those of other groups have shown that the expression of miRNAs is important in colorectal and other types of cancer. miRNA regulates gene expression at the post-transcriptional level by perfect or imperfect base pairing with many target mRNA transcripts. This provides cells with acute and energy efficient controls to mediate gene expression in response to cellular stresses such as drug treatment. Translation control plays a key role in the mechanism of cellular resistance to anti-cancer drug treatment. Therefore, it is crucial to understand the roles and regulatory mechanisms of translational control in chemoresistance, and in particular, the roles of miRNAs as translational regulators.
At present, over 300 mammalian miRNAs have been identified and some of them have been shown to play important roles in the regulation of cell differentiation, proliferation and apoptosis. Each individual miRNA can potential regulate mRNA translation for up to several hundred genes via imperfect base pairing based on bioinformatic analysis. We reasoned that miRNAs may be a better class of biomarkers because of their broad regulatory functions and the ability to measure their expression levels with far better accuracy than is currently achievable for the mRNAs themselves.
Studies from our group have demonstrated that p53, in addition to regulating gene expression as a transcription factor, may exert its tumor suppressor gene function by mediating miRNA expression in a colon cancer model. Over 46% of miRNA promoters contain putative p53 consensus binding site(s). A number of miRNAs were discovered to be deregulated due to the loss of the p53 tumor suppressor in colon cancer cell lines. Some of these miRNAs mediate key mRNA targets such as Ras, E2F5, c-myc, eIF5A, and PP2B. These genes have been shown to be key factors in influencing cell cycle control and chemosensitivity. A recent study examined miRNA expression in 16 colon cancer cell lines and 12-matched-pair tumor and non-tumor tissues using the real time qRT-PCR approach. In this report, among 156 miRNAs analyzed, six were found to be significantly altered and miR-31 was correlated with tumor staging.
Instead of random screening, we decided to use a rationalized approach based on our expression profiling analysis of HCT-116 (wt-p53) and HCT-116 (null-p53) colon cancer cell lines to further evaluate the in vivo significance of deregulated miRNAs in relation to chemosensitivity. In the current study, the expression levels of ten miRNAs (hsa-miR-30a-5p, hsa-miR-181b, hsa-let-7g, hsa-miR-26a, hsa-let-7b, has-miR-15b, has-miR-27a, has-miR-200c, has-miR-191, and has-miR-30c) were investigated to evaluate their clinical relevance in colorectal cancer. 24 normal and paired colorectal cancer specimens were selected as a model for this investigation. These ten miRNAs were chosen based on their high expression levels in tumors displaying p53 deletion, their relationship with p53 and their predicted target mRNAs (e.g. cytochrome C, ECIP-1, MAPPKKK1, TEM6, E2F5, GATA6, PP2B, and eIF5A). Based on our results, some of these miRNAs may function as oncogenes due to their overexpression in tumors. hsa-miR-200c is a potential novel prognostic factor for survival of patients with colorectal cancer. Overexpression of these miRNAs may be due to the loss of p53 tumor suppressor function in tumors.
Patients and Samples
A total of 48 snap frozen colorectal patient biopsy specimens were selected (24 paired normal and tumor specimens). These patients had undergone surgical resection of primary colorectal adenocarcinoma at the Department of General Surgery, University of Ulm, Germany. Patient consent forms were obtained from every patient according to the institutional regulations. The characteristics of these patients are shown in Table 1. Some were treated with adjuvant 5-FU based chemotherapy and others were treated with palliative high-dose 5-FU/FA.
RNA Isolation and cDNA synthesis
Total RNAs were isolated using a previously published protocol. In brief, TRIzol reagent (Invitrogen, CA) was used to isolate total RNA from snap frozen tissues. RNA was treated with DNase I (Promega, WI). The integrity of total RNA was determined by 1% formaldehyde-agarose gel electrophoresis. cDNA synthesis was carried out with the Superscript III cDNA synthesis kit (Invitrogen, CA) using 1 μg of total RNA as the template and specific reverse primers (Supplementary Table) under 65°C, 5 min, and 50°C, 60 min of reverse transcription. A total of three fragments were synthesized for further analysis.
Mutation Detection of p53 by PCR and Sequencing
The PCR reaction was carried out in a 25 μl reaction mixture containing cDNA 2 μl, 10x PCR golden buffer 2.5 μl, 1.5 mM MgCl2, 200 μM dNTP (Ambion, TX), 5 pmol primers and 1.25 U of AmpliTAq Gold polymerase plus 1M betaine (Sigma, MI). All PCR reagents were from Applied Biosystems Inc. except where mentioned. The reaction was initiated at 95°C for 10 min. Thermal cycling was as follows: denaturation at 95°C for 30 sec, annealing using touchdown from 62°C to 55°C for 30 sec (0.5°C decrement each round), extension at 72°C for 35 sec followed by an additional 25 rounds of 95°C 30 sec, 55°C 30 sec and 72°C 40 sec. Final extension was carried out at 72°C for 10 min on the PTC-225 Peltier Thermal Cycler (Bio-Rad, MA). PCR products were purified using a MultiScreen-PCR purifying plate (Millipore, MA) and submitted for sequencing. The PCR and sequencing primers were designed with Primer Premier (version 5.0) software (PREMIER Biosoft International, CA) and are listed in the Supplementary Table. Sequencing was performed with the BigDye Terminator v3.1 Cycle Sequencing Kit from Applied Biosystems, Inc. (CA). Five microliters (50 ng) of template DNA was added to wells of a 96-well plate containing 15 μl of sequencing cocktail consisting of 0.4 μl premix from sequencing kit, 7.6 μl 2.5 × sequencing buffer, 0.5 μl 10 mM primer and 6.5 μl water. Sequencing reactions were carried out for 35 cycles (96°C, 10 sec; 50°C, 5 sec; 60°C, 2 min 30 sec). The products were precipitated with 50 μl 100% ethanol and 2 μl 3M NaOAc (pH 4.8), and pellets were rinsed with 70% ethanol. After addition of 10 μl Hi-Di Formamide (Applied Biosystems Inc, CA) and denaturing at 94°C for 10 min, samples were loaded onto an ABI 3730xl sequencer. Sequences were analyzed with SeqManII from DNASTAR, Inc. by comparing with Homo sapiens tumor protein p53 mRNA sequence (NM_000546). All allelic variations were recorded.
miRNA Reverse Transcription and qRT-PCR Analysis
mirVana™ qRT-PCR Primer Sets (Ambion Inc. TX) for miRNA specific reverse transcription including hsa-miR-30a-5p, hsa-miR-181b, hsa-let-7g, hsa-miR-26a, hsa-let-7b, has-miR-15b, has-miR-27a, has-miR-200c, has-miR-191, has-miR-30c, and endogenous control 5S rRNA were utilized according to the manufacture’s protocol. Briefly, the reaction master mix containing mirVana™ 5 × RT Buffer, 1 × mirVana™ RT Primer, Array-Script™ Enzyme Mix and nuclease-free water was mixed with 20 ng of each total RNA sample. These mixtures were incubated for 30 min at 37°C, then 10 min at 95°C. qRT-PCR was carried out using the Applied Biosystems 7500 Real-Time PCR System (Applied Biosystems Inc. CA) and mirVana™ qRT-PCR miRNA Detection Kit (Ambion Inc. TX). The PCR master mix containing mirVana™ 5 × PCR Buffer (with SYBR® Green I), 50 × ROX, SuperTaq™ Polymerase, mirVana™ PCR Primers, and RT products was processed as follows: 95°C for 3 min, and then 95°C for 15 sec, 60°C for 35 sec for up to 40 cycles (n = 3). Signal was collected at the endpoint of every cycle.
Statistical Analysis
The gene expression ΔCT values of miRNAs from each sample were calculated by normalizing with internal control 5S rRNA and relative quantitation values were plotted using SDS software v1.2 (Applied Biosystems Inc. CA). The statistical studies were performed using MedCalc® for Windows, version 7.4.2.0 (MedCalc software, Belgium). The statistically significant differences in expression level between tumor and normal tissues for each target were calculated using a paired Wilcoxon test. The Logrank test for the generated Kaplan-Meier curve was conducted to evaluate the association between the expression level of each miRNA and survival rate. The cut-off was set to p <0.05.
Overexpression of miRNAs in Colorectal Cancer
In this study, the expression levels of 10 different miRNAs known to be deregulated based on our previous studies were quantified using miRNA specific qRT-PCR analysis. Among these, four miRNAs were found to be overexpressed in colorectal cancer samples. The expression of hsa-miR-15b was overexpressed by nearly 1.5-fold (Median: 1.30 vs. 0.89, p = 0.0278) (Figure 1A). The expression of hsa-miR-181b was elevated 2.5-fold (Median: 1.54 vs. 0.61, p = 0.0002) in tumor samples (Figure 2). The expression of hsa-miR-191 was significantly enhanced 1.4-fold (Median: 1.44 vs. 1.01, p = 0.0264) in colorectal tumors (Figure 1C). The expression of hsa-miR-200c was also significantly upregulated 3-fold in tumor specimens (Median: 2.25 vs. 0.75, p = 0.0017) (Figure 1D).
Evaluation of Prognostic Values of miRNAs
To further evaluate the clinical relevance of these overexpressed miRNAs in colorectal cancer in terms of prognosis, Kaplan-Meier survival analysis was performed using patient overall survival. Our results indicated that hsa-miR-200c was significantly associated with patient survival (Figure 2). Patients (n = 9) with low expression of hsa-miR-200c (ΔCT less than 4.54) tended to have longer survival (median survival of 38 months vs. 26 months) than patients (n = 15) with higher levels of hsa-miR-200c expression (p = 0.00122). The expression of hsa-miR-200c was not related to the difference in tumor stage (data not show).
Correlation of p53 Status and miRNA expression
Our previous studies showed that over 46% of the putative promoter sites of 324 miRNAs contain p53 binding site(s). We thus decided to sequence the p53 gene’s coding sequence in all 48 patient samples. It turned out that over 46% of colorectal tumors contained p53 mutations or deletions (Table 2). Representative p53 sequence traces around the mutation and deletion regions are illustrated in Figure 3. The expression of hsa-miR-181b was 3.4-fold higher in 11 tumors with p53 mutations/deletions than the corresponding normal samples with wild type p53 and was strongly associated with p53 mutation status (median: 1.72 vs. 0.50, p = 0.0098) (Figure 4A). The expression of hsa-miR-200c was 2.5-fold higher in the 11 tumors containing p53 deletions/mutations than the corresponding counterparts and was also strongly associated with the p53 mutation status (median: 2.20 vs. 0.87, p = 0.03) (Figure 4B). We also compared the expression status of miRNAs within the tumors with or without p53 mutations. The results also showed a significant correlation of hsa-miR-200c and hsa-miR-181b with p53 mutation status (data not show). Both of these miRNAs contain p53 binding site(s) in the putative promoter regions.
Discussion
Many recent efforts in the field of cancer research have focused on miRNA biology. Even a small change in miRNA expression can cause a profound effect on the gene expression of hundreds of mRNAs at the post-transcriptional or translational level. Mounting evidence has shown that miRNAs are involved in cancers such as lymphoblastic leukemia, glioblastoma, B-cell chronic lymphocytic leukemia (B-CLL), and many solid tumors including colon cancer.
Previous studies from our group have identified many deregulated miRNAs associated with the p53 tumor suppressor gene. As a transcription factor, p53 regulates its downstream genes to mediate cell cycle control and apoptosis. We provided evidence that p53 may also act as a tumor suppressor by regulating certain miRNAs. p53 is one of the most frequent mutated tumor suppressor genes in colorectal and other cancer types. In this study, we further investigated the clinical relevance of some of the miRNAs overexpressed due to the loss of p53 in colorectal cancer. These overexpressed miRNAs may be involved in the oncogenic process.
We chose 24 paired normal colon tissues and cancer specimens for the expression analysis of 10 miRNAs. This is a valid set of clinical samples with which to evaluate the clinical relevance of miRNAs in colorectal cancer. The sample size is small, but unlike mRNA marker discovery starting from over 40,000 genes, which may need at least 100 samples to obtain reliable markers, there are only a few hundred known miRNAs in mammals. Therefore, we are working with up to 100-fold less marker candidates compared to mRNA transcript profiling. This is in fact a major advantage of using miRNAs as potential biomarkers instead of mRNAs. Another advantage is that each miRNA can potentially regulate several hundred genes at the post-transcriptional level. Profiling these master regulators may be superior to profiling their downstream mRNA targets. Four of the ten miRNAs were overexpressed in colorectal cancer samples (Figure 1). These results have been further confirmed in another study by our group (manuscript under review) and others. Each of these miRNAs is capable of potentially regulating well over 100 target mRNAs via imperfect base pairing. Some of these miRNAs have recently been reported to function as potential oncogenes. The hsa-miR-200c is strongly associated with overall patient survival (Figure 2). hsa-miR-200c can potentially regulate over 200 target genes including MAPKKK3, eIF-4E, RAS homologs, RNA polymerase II, and cyclin L1 based on bioinformatics analysis. Thus, in some way, miRNAs can be viewed as master regulators. This study may provide some candidate miRNAs as potential targets for new therapeutics development. The detailed molecular and cellular mechanisms underlining the action of these miRNAs will be investigated in our future studies.
The p53 status in these samples was determined via sequencing of the p53 cDNAs (Figure 3 and Table 2). Nearly 50% of the tumors contained p53 mutations/deletions and this was highly consistent with many previous reports that p53 is one of the most frequently mutated tumor suppressor genes in cancer. Among the tumors with mutated p53, both hsa-miR-181b (Figure 4A) and hsa-miR-200c (Figure 4B) were highly over-expressed compared to the paired normal samples. This is consistent with our previous report that p53 may potentially mediate miRNA expression to exert its tumor suppressor function. The loss of p53 tumor suppressor function will activate some of these potential oncogenic miRNAs. Many genes such as cytochrome C, ECIP-1, MAPPKKK1, TEM6, E2F5, GATA6, PP2B, and eIF5A, are predicted to be regulated by hsa-miR-181b. These genes have been shown to be important for cell signaling, cell cycle control and chemosensitivity. We speculate that the miRNAs can modulate expression of a number of genes at the translational level.
In conclusion, in this study, the in vivo significance of 10 mature miRNAs was evaluated in 24 matched normal and colorectal cancer patient samples. The expression of hsa-miR-15b, hsa-miR-181b, hsa-miR-191 and hsa-miR-200c were significantly over-expressed in colorectal cancer patients and they may be associated with the development of the disease. The expression of hsa-miR-200c was strongly associated with overall patient survival. That expression of hsa-miR-200c was not related to the different stages of the disease further supports this notion. We believe that this is just the beginning of trying to understand how miRNAs (the micrornanome) are involved in colorectal and perhaps other cancers. Large follow up studies will be necessary in the near future to further confirm the significance of these miRNA markers. Modulation of miRNAs will likely be a new frontier for cancer diagnosis and treatment.
References 35
- 1.
- 2.
Banerjee D Schnieders B Fu JZ Adhikari D Zhao SC Bertino JR 1998 Cancer Res5842926
Not in our library
- 3.
Bartel DP 2004 Cell11628197
Not in our library10.1016/s0092-8674(04)00045-5
- 4.
Benard J Douc-Rasy S 2005 Bull Cancer9275762
Not in our library
- 5.
Bottoni A Piccin D Tagliati F Luchin A Zatelli MC degli Uberti EC 2005 J Cell Physiol2042805
Not in our library10.1002/jcp.20282
- 6.
Bunz F Dutriaux A Lengauer C Waldman T Zhou S Brown JP Sedivy JM Kinzler KW Vogelstein B 1998 Science2821497501
Not in our library10.1126/science.282.5393.1497
- 7.
Bunz F Hwang PM Torrance C Waldman T Zhang Y Dillehay L Williams J Lengauer C Kinzler KW Vogelstein B 1999 J Clin Invest1042639
Not in our library10.1172/jci6863
- 8.
Calin GA Dumitru CD Shimizu M Bichi R Zupo S Noch E Aldler H Rattan S Keating M Rai K Rassenti L Kipps T Negrini M Bullrich F Croce CM 2002 Proc Natl Acad Sci USA99155249
Not in our library10.1073/pnas.242606799
- 9.
Calin GA Ferracin M Cimmino A Di Leva G Shimizu M Wojcik SE Iorio MV Visone R Sever NI Fabbri M Iuliano R Palumbo T Pichiorri F Roldo C Garzon R Sevignani C Rassenti L Alder H Volinia S Liu CG Kipps TJ Negrini M Croce CM 2005 N Engl J Med3531793801
Not in our library10.1056/nejmoa050995
- 10.
Calin GA Liu CG Sevignani C Ferracin M Felli N Dumitru CD Shimizu M Cimmino A Zupo S Dono M Dell’Aquila ML Alder H Rassenti L Kipps TJ Bullrich F Negrini M Croce CM 2004 Proc Natl Acad Sci USA1011175560
Not in our library10.1073/pnas.0404432101
- 11.
Chen PY Meister G 2005 Biol Chem386120518
Not in our library10.1515/bc.2005.139
- 12.
Chu E Copur SM Ju J Chen TM Khleif S Voeller DM Mizunuma N Patel M Maley GF Maley F Allegra CJ 1999 Mol Cell Biol19158294
Not in our library10.1128/mcb.19.2.1582
- 13.
Chu E Koeller DM Casey JL Drake JC Chabner BA Elwood PC Zinn S Allegra CJ 1991 Proc Natl Acad Sci USA88897781
Not in our library10.1073/pnas.88.20.8977
- 14.
Cimmino A Calin GA Fabbri M Iorio MV Ferracin M Shimizu M Wojcik SE Aqeilan RI Zupo S Dono M Rassenti L Alder H Volinia S Liu CG Kipps TJ Negrini M Croce CM 2005 Proc Natl Acad Sci USA102139449
Not in our library10.1073/pnas.0506654102
- 15.
Cummins JM He Y Leary RJ Pagliarini R Diaz LA Jr Sjoblom T Barad O Bentwich Z Szafranska AE Labourier E Raymond CK Roberts BS Juhl H Kinzler KW Vogelstein B Velculescu VE 2006 Proc Natl Acad Sci USA103368792
Not in our library10.1073/pnas.0511155103
- 16.
Draghici S Khatri P Eklund AC Szallasi Z 2006 Trends Genet221019
Not in our library10.1016/j.tig.2005.12.005
- 17.
Esquela-Kerscher A Slack FJ 2006 Nat Rev Cancer625969
Not in our library10.1038/nrc1840
- 18.
Fu L Minden MD Benchimol S 1996 Embo J154392401
Not in our library
- 19.
Hammond SM 2006 Curr Opin Genet Dev1649
Not in our library10.1016/j.gde.2005.12.005
- 20.
Hampton T 2005 Jama2944112
Not in our library10.1001/jama.294.4.411
- 21.
Hollstein M Sidransky D Vogelstein B Harris CC 1991 Science2534953
Not in our library10.1126/science.1905840
- 22.
- 23.
Ju J Huang C Minskoff SA Mayotte JE Taillon BE Simons JF 2003 Nucleic Acids Res31515766
Not in our library10.1093/nar/gkg702
- 24.
Ju J Pedersen-Lane J Maley F Chu E 1999 Proc Natl Acad Sci USA96376974
Not in our library10.1073/pnas.96.7.3769
- 25.
Krek A Grun D Poy MN Wolf R Rosenberg L Epstein EJ MacMenamin P da Piedade I Gunsalus KC Stoffel M Rajewsky N 2005 Nat Genet37495500
Not in our library10.1038/ng1536
- 26.
Lee RC Feinbaum RL Ambros V 1993 Cell7584354
Not in our library10.1016/0092-8674(93)90529-y
- 27.
Liu E Santos G Lee WM Osborne CK Benz CC 1989 Oncogene497984
Not in our library
- 28.
Mattick JS Makunin IV 2005 Hum Mol Genet14Spec No 1R12132
Not in our library10.1093/hmg/ddi101
- 29.
Mosner J Mummenbrauer T Bauer C Sczakiel G Grosse F Deppert W 1995 Embo J1444429
Not in our library10.1002/j.1460-2075.1995.tb00123.x
- 30.
Sinha BK Yamazaki H Eliot HM Schneider E Borner MM O‘Connor PM 1995 Biochim Biophys Acta1270128
Not in our library10.1016/0925-4439(94)00065-x
- 31.
Tomita S Muto Y Kusano T Toda T 1999 Rinsho Byori47206
Not in our library
- 32.
Wang L Wu Q Qiu P Mirza A McGuirk M Kirschmeier P Greene JR Wang Y Pickett CB Liu S 2001 J Biol Chem2764360410
Not in our library10.1074/jbc.m106570200
- 33.
Wienholds E Plasterk RH 2005 FEBS Lett579591122
Not in our library10.1016/j.febslet.2005.07.070
- 34.
Xi Y Shalgi R Fodstad O Pilpel Y Ju J 2006 Clin Cancer Res12201424
Not in our library10.1158/1078-0432.ccr-05-1853
- 35.
Yu JL Rak JW Coomber BL Hicklin DJ Kerbel RS 2002 Science29515268
Not in our library10.1126/science.1068327
Cited by papers we hold 12
- MicroRNAs in the etiology of colorectal cancer: pathways and clinical implications · 2017No notice
- Prognostic Role of Tissue and Circulating MicroRNA-200c in Malignant Tumors: a Systematic Review and Meta-Analysis · 2015Not checked
- MicroRNA expression profiles of bovine milk exosomes in response to Staphylococcus aureus infection · 2015No notice
- miR-191: an emerging player in disease biology · 2014No notice
- Deep Sequencing of RNA from Three Different Extracellular Vesicle (EV) Subtypes Released from the Human LIM1863 Colon Cancer Cell Line Uncovers Distinct Mirna-Enrichment Signatures · 2014No notice
- Deep Sequencing the MicroRNA Transcriptome in Colorectal Cancer · 2013No notice
- Circulating miR-200c as a diagnostic and prognostic biomarker for gastric cancer · 2012No notice
- Lactation-Related MicroRNA Expression Profiles of Porcine Breast Milk Exosomes · 2012No notice
- Clinical relevance of microRNA miR-21, miR-31, miR-92a, miR-101, miR-106a and miR-145 in colorectal cancer · 2012No notice
- Dicer and miRNA in relation to clinicopathological variables in colorectal cancer patients · 2011Not checked
- Molecular mechanism of chemoresistance by miR-215 in osteosarcoma and colon cancer cells · 2010No notice
- MicroRNAs in colorectal cancer: translation of molecular biology into clinical application · 2009No notice
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.