Author: Eunice Lozada-Delgado
Recently, due to the advancements
in sequencing and transcriptomics techniques, there have been many studies trying to
identify gene biomarkers that can serve as therapeutic targets for different
diseases like cancer. Now, other specific areas that are being studied with
this goal is by using the non-coding region of the DNA. Specifically, recently
there has been great interest in studying micro-RNAs as possible biomarkers.
Here we will focus on the study of microRNAs as biomarkers in cancers.
Micro-RNAs (miRNAs) are small
non-coding RNAs that are known to
target and regulate gene expression at the mRNA level by targeting the 3’UTR of
the mature mRNA molecule (Li et al., 2012). Further, in vitro and in vivo experiments
have suggested that miRNAs can be used to target and regulate the expression of
genes that are known drivers of tumorigenesis. MiRNAs have been associated with
different biological roles like apoptosis, cell cycle, cell division, among
others that are related to cancer progression (Pink et al., 2015). Thus, ideally one can develop different
personalized therapeutic strategies towards patients with specific deregulated
miRNAs.
miRNA biogenesis
http://www.sigmaaldrich.com/life-science/functional-genomics-and-rnai/mirna/learning-center/mirna-introduction.html
As an example, a recent publication by Rivera-Diaz, et al. made a miRNA
profile comparing differentially expressed miRNAs between WHO grades II-IV of
astrocytoma patients (Rivera-Díaz et al., 2015). Here they used formalin-fixed patient samples
in paraffin and compared the miRNA expression patterns between the different
WHO grade patient tumor samples with both non-neoplastic surrounding tissue and
control patients. They extracted the miRNA containing RNA from the different
samples and conducted a microarray assay to obtain their results. They were
able to obtain differentially expressed miRNA profiles distinguishing the various
WHO grades. Afterwards, they validated one of the miRNAs found to be
differentially expressed in astrocytoma grade IV, better known as Glioblastoma
multiforme (GBM), miR-27a. When inhibiting this miRNA in CRL-1690 GBM cells an
increase in apoptosis was obtained. Additionally, six potential targets for
this miRNA were identified. The results obtained are of importance because GBM
has a very high death rate in the United States. Moreover, the profiles obtained
can now be used as biomarkers for the different stages or grades of astrocytoma
tumors.
Left frontal GBM
http://www.uiowa.edu/~c064s01/nr094.htm
Another recent publication in the area is by Pink, et al. focusing on
miRNA patterns of ovarian cancer cell lines resistant to cisplatin therapy (Pink et al., 2015). Here they made microarray analysis in
cisplatin sensitive A2780 ovarian cancer cell line compared to the cisplatin
resistant CP70 ovarian cancer cell line. Using this approach they were able to
identify various miRNAs that were upregulated in the cisplatin resistant cells.
Then they went and tested the role of some of these miRNAs with mimics, and of
their targets with siRNAs. They identified miR-21-3p as having a role in
cisplatin resistance, while it’s “sister strand” or star strand, miR-21-5p, had
a contrary role by defining cisplatin sensitivity. Afterwards, they identified a new target mRNA
for the miR-21-3p, the NAV3 gene mRNA. Then to prove if this target had to do
with the fact of miR-21-3p increasing cisplatin resistance they knocked down
NAV3, and what resulted was an increase in cisplatin resistance. Thus
suggesting that miR-21-3p increases cisplatin drug resistance through targeting
of the NAV3 mRNA in ovarian cancer. This
study identifies miR-21-3p as a possible biomarker for ovarian cancer with
cisplatin therapy resistance.
In summary, here we were able to demonstrate mainly through two recently
published articles the interest in research to study microRNAs as
biomarkers in different cancers. Here, two studies in different cancers were discussed,
Glioblastoma multiforme and ovarian cancer, but the same type of study is being
made in all types of cancer. This provides evidence of the emerging need to
develop new types of therapies that can have personalized potential towards
specific people within their type of cancer targeting their specific mutations.
Video on Profiling microRNA by pathway and disease: https://www.youtube.com/watch?=GsZpw5QEyKI
LI, Z. et al. microRNA expression profiles in human
colorectal cancers with brain metastases. Oncol
Lett, v. 3, n. 2, p. 346-350, Feb 2012. ISSN 1792-1074. Disponível em: <
http://www.ncbi.nlm.nih.gov/pubmed/22740910
>.
PINK, R. C. et al. The passenger strand, miR-21-3p, plays
a role in mediating cisplatin resistance in ovarian cancer cells. Gynecol Oncol, Jan 2015. ISSN
1095-6859. Disponível em: < http://www.ncbi.nlm.nih.gov/pubmed/25579119
>.
RIVERA-DÍAZ, M. et al. MicroRNA-27a distinguishes
glioblastoma multiforme from diffuse and anaplastic astrocytomas and has
prognostic value. Am J Cancer Res, v.
5, n. 1, p. 201-18, 2015. ISSN
2156-6976. Disponível em: < http://www.ncbi.nlm.nih.gov/pubmed/25628931
>.
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