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Identification and validation of potential biomarkers for the detection of dysregulated microRNA by qPCR in patients with colorectal adenocarcinoma.

Wu X, Xu X, Li S, Wu S, Chen R, Jiang Q, Liu H, Sun Y, Li Y, Xu Y - PLoS ONE (2015)

Bottom Line: First, this study compared the expression level of 1547 miRNAs by qRT-PCR in Colorectal adenocarcinoma tissues to that in paired normal tissues.In all, 93 miRNAs were identified that were significantly dysregulated in Colorectal adenocarcinoma relative to normal tissues (P<0.05).In conclusion, the degree of differentiation has an important influence on the miRNA expression pattern.

View Article: PubMed Central - PubMed

Affiliation: Department of Gastrointestinal Surgery, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

ABSTRACT
Colorectal cancer represents a lethal disease that has raised concern and has attracted significant attention. Adenocarcinoma is the most common type of colorectal cancer (CRC). MicroRNAs are thought to be potential biomarkers of CRC. Many researchers have focused on the expression pattern of miRNAs in CRC. However, previous studies did not pay particular attention to the effects of the degree of differentiation of the cancer with respect to the miRNA expression profile. First, this study compared the expression level of 1547 miRNAs by qRT-PCR in Colorectal adenocarcinoma tissues to that in paired normal tissues. In all, 93 miRNAs were identified that were significantly dysregulated in Colorectal adenocarcinoma relative to normal tissues (P<0.05). Then, we analyzed their potential as cancer biomarkers by ROC analysis, and the result revealed that three miRNAs with high sensitivity and specificity are suitable as biomarkers for the diagnosis of CRC (the value of the AUC was greater than 0.7). Interestingly, previous reports of 23 of these miRNAs have been scarce. Furthermore, we wanted to analyze the difference between well- and moderately differentiated cancers, and as expected, 58 miRNAs showed significant dysregulation. Importantly, 32 miRNAs were able to not only distinguish cancer tissues from normal tissues, but they were also able to identify well- and moderately differentiated cancers. In conclusion, the degree of differentiation has an important influence on the miRNA expression pattern. To avoid misdiagnoses and missed diagnoses, tumors of different degrees of differentiation should be treated differently when miRNAs are used as cancer biomarkers.

No MeSH data available.


Related in: MedlinePlus

miRNAs that are Dysregulated in cancer correlated with cancer differentiation.(A) Compared with normal tissues, a total of 93 miRNAs that were significantly dysregulated were identified, (B) 58 dysregulated miRNAs were found in moderately differentiated tissues compared with well-differentiated tissues, (C) 32 miRNAs were not only able to identify cancers samples and normal controls, but they were also able to distinguish between well- and moderately differentiated tumors.
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pone.0120024.g003: miRNAs that are Dysregulated in cancer correlated with cancer differentiation.(A) Compared with normal tissues, a total of 93 miRNAs that were significantly dysregulated were identified, (B) 58 dysregulated miRNAs were found in moderately differentiated tissues compared with well-differentiated tissues, (C) 32 miRNAs were not only able to identify cancers samples and normal controls, but they were also able to distinguish between well- and moderately differentiated tumors.

Mentions: As mentioned above, we have identified miRNAs that are differentially dysregulated in normal tissue and in adenocarcinoma tissue, and in well- and moderately differentiated cancers. Then, we further investigated whether any miRNAs could be used not only to distinguish cancer tissue from normal tissue but also to distinguish well- and moderately differentiated cancers. Therefore, we have made a connection between these two results. Interestingly, 32 miRNAs were not only able to identify cancers samples and normal controls, but they were also able to distinguish between well- and moderately differentiated tumors (Table 5, Fig. 3). MiR-145 and miR-99b, as mentioned above, performed well in the biomarker assay for the diagnosis and classification of cancer (Fig. 4).


Identification and validation of potential biomarkers for the detection of dysregulated microRNA by qPCR in patients with colorectal adenocarcinoma.

Wu X, Xu X, Li S, Wu S, Chen R, Jiang Q, Liu H, Sun Y, Li Y, Xu Y - PLoS ONE (2015)

miRNAs that are Dysregulated in cancer correlated with cancer differentiation.(A) Compared with normal tissues, a total of 93 miRNAs that were significantly dysregulated were identified, (B) 58 dysregulated miRNAs were found in moderately differentiated tissues compared with well-differentiated tissues, (C) 32 miRNAs were not only able to identify cancers samples and normal controls, but they were also able to distinguish between well- and moderately differentiated tumors.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4372559&req=5

pone.0120024.g003: miRNAs that are Dysregulated in cancer correlated with cancer differentiation.(A) Compared with normal tissues, a total of 93 miRNAs that were significantly dysregulated were identified, (B) 58 dysregulated miRNAs were found in moderately differentiated tissues compared with well-differentiated tissues, (C) 32 miRNAs were not only able to identify cancers samples and normal controls, but they were also able to distinguish between well- and moderately differentiated tumors.
Mentions: As mentioned above, we have identified miRNAs that are differentially dysregulated in normal tissue and in adenocarcinoma tissue, and in well- and moderately differentiated cancers. Then, we further investigated whether any miRNAs could be used not only to distinguish cancer tissue from normal tissue but also to distinguish well- and moderately differentiated cancers. Therefore, we have made a connection between these two results. Interestingly, 32 miRNAs were not only able to identify cancers samples and normal controls, but they were also able to distinguish between well- and moderately differentiated tumors (Table 5, Fig. 3). MiR-145 and miR-99b, as mentioned above, performed well in the biomarker assay for the diagnosis and classification of cancer (Fig. 4).

Bottom Line: First, this study compared the expression level of 1547 miRNAs by qRT-PCR in Colorectal adenocarcinoma tissues to that in paired normal tissues.In all, 93 miRNAs were identified that were significantly dysregulated in Colorectal adenocarcinoma relative to normal tissues (P<0.05).In conclusion, the degree of differentiation has an important influence on the miRNA expression pattern.

View Article: PubMed Central - PubMed

Affiliation: Department of Gastrointestinal Surgery, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

ABSTRACT
Colorectal cancer represents a lethal disease that has raised concern and has attracted significant attention. Adenocarcinoma is the most common type of colorectal cancer (CRC). MicroRNAs are thought to be potential biomarkers of CRC. Many researchers have focused on the expression pattern of miRNAs in CRC. However, previous studies did not pay particular attention to the effects of the degree of differentiation of the cancer with respect to the miRNA expression profile. First, this study compared the expression level of 1547 miRNAs by qRT-PCR in Colorectal adenocarcinoma tissues to that in paired normal tissues. In all, 93 miRNAs were identified that were significantly dysregulated in Colorectal adenocarcinoma relative to normal tissues (P<0.05). Then, we analyzed their potential as cancer biomarkers by ROC analysis, and the result revealed that three miRNAs with high sensitivity and specificity are suitable as biomarkers for the diagnosis of CRC (the value of the AUC was greater than 0.7). Interestingly, previous reports of 23 of these miRNAs have been scarce. Furthermore, we wanted to analyze the difference between well- and moderately differentiated cancers, and as expected, 58 miRNAs showed significant dysregulation. Importantly, 32 miRNAs were able to not only distinguish cancer tissues from normal tissues, but they were also able to identify well- and moderately differentiated cancers. In conclusion, the degree of differentiation has an important influence on the miRNA expression pattern. To avoid misdiagnoses and missed diagnoses, tumors of different degrees of differentiation should be treated differently when miRNAs are used as cancer biomarkers.

No MeSH data available.


Related in: MedlinePlus