Emerging Role of miRNAs in the Drug Resistance of Gastric Cancer

Riquelme, Ismael; Letelier, Pablo; Riffo‐Campos, Ángela L.; Brebi-Mieville, Priscilla; Roa, Juan Carlos

doi:10.3390/ijms17030424

Cited by 100 publications

(84 citation statements)

References 88 publications

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“…These results indicated that overexpression of miR-382 was able to increase the anti-tumor effect of γδ T cells on HCC in vivo. [23][24][25]. Among these miRNAs, miR-382 which acts as a tumor suppressor is reported to inhibit tumor growth and sensitize cancer cells to anti-tumor drugs.…”

Section: Mir-382-overexpressed Hcc Model Is Sensitive To γδ T Cells Tmentioning

confidence: 99%

WITHDRAWN: Overexpression of miR-382 sensitizes hepatocellular carcinoma cells to γδ T cells through inhibiting the expression of c-FLIP

Hou¹,

Chen²,

Zheng³

et al. 2018

Oncotarget

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Section: Mir-382-overexpressed Hcc Model Is Sensitive To γδ T Cells Tmentioning

confidence: 99%

WITHDRAWN: Overexpression of miR-382 sensitizes hepatocellular carcinoma cells to γδ T cells through inhibiting the expression of c-FLIP

Hou¹,

Chen²,

Zheng³

et al. 2018

Oncotarget

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“…Conversely, tumor-suppressor miRNAs repress the expression of genes with oncogenic functions [13]. Therefore, RNA has been targeted for the study of new drugs and therapeutic methods [14,15,16]. …”

Section: Introductionmentioning

confidence: 99%

Tools for Sequence-Based miRNA Target Prediction: What to Choose?

Riffo‐Campos

Riquelme

Brebi-Mieville

2016

IJMS

Self Cite

346

232

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MicroRNAs (miRNAs) are defined as small non-coding RNAs ~22 nt in length. They regulate gene expression at a post-transcriptional level through complementary base pairing with the target mRNA, leading to mRNA degradation and therefore blocking translation. In the last decade, the dysfunction of miRNAs has been related to the development and progression of many diseases. Currently, researchers need a method to identify precisely the miRNA targets, prior to applying experimental approaches that allow a better functional characterization of miRNAs in biological processes and can thus predict their effects. Computational prediction tools provide a rapid method to identify putative miRNA targets. However, since a large number of tools for the prediction of miRNA:mRNA interactions have been developed, all with different algorithms, the biological researcher sometimes does not know which is the best choice for his study and many times does not understand the bioinformatic basis of these tools. This review describes the biological fundamentals of these prediction tools, characterizes the main sequence-based algorithms, and offers some insights into their uses by biologists.

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“…miRs have been drawn recently in the development of drug resistance because of their regulatory role in cell homeostasis [48]. Thus, monitoring their association with treatment response along with disease progression is fundamental.…”

Section: Discussionmentioning

confidence: 99%

Expression Signature of MicroRNA-155 and its Association with Response to Treatment within Different Subtypes of B-Cell Malignancies

Eldin¹,

Naem²,

Higazi³

et al. 2017

Biol Med (Aligarh)

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Objectives: Emerging evidence suggests that microRNAs could serve as non-invasive biomarkers for cancer patients. However, they are mostly not fully investigated as biomarkers in the classification, progression and prognosis of different cancers. Our study was designed to explore the microRNA-155 (miR-155) expression levels in peripheral blood mononuclear cells (PBMCs) in patients with various subtypes of B-cell malignancies. Also, we aimed to correlate between miR-155 expression levels and the diverse clinico-pathologic features as well as the prognostic fate of these patients after treatment completion. Subjects and methods:Using whole blood samples from 53 patients with B-cell malignancies and 15 apparently healthy subjects, miR-155 was extracted and profiled by quantitative real-time PCR (RT-qPCR). The B-cell malignancies patients were including 22 diffuse large B-cell lymphoma (DLBCL), 15 chronic lymphocytic leukemia (CLL), 9 follicular lymphoma patients (FL) and 7 subjects with burkitt′s lymphoma (BL). The samples were withdrawn before starting chemotherapy in addition to after completing their therapeutic courses by 6 months. Subsequently, the patients were further sub-grouped into those with partial remission, complete remission, resistant disease and relapse. Results:We found that miR-155 expression levels differentiate lymphoma entities from normal subjects (p ≤ 0.001) and its expression fold changes distinguish B-cell lymphoma subtypes from each other's (p<0.05). In addition, miR-155 was significantly correlated with age and LDH levels. The receiver operating curve (ROC) was employed to identify the diagnostic outcomes of miR-155 in discriminating B-cell malignancies entities from each other's (AUC=0.957 for DLBCL vs. CLL+FL and AUC=1.000 for CLL vs. FL). Otherwise, when BL was versus healthy controls the AUC was equal to 0.552. As well, we demonstrated an association between elevated miR-155 expression levels and poor response to treatment with increased cases of relapse, partial remission or resistance to treatment. Conclusions:This study suggests that miR-155 has an expression profile that differs according to B-cell malignancies subtype. Besides, miR-155 expression levels may modulate the patient's response to treatment. These results support a role for miR-155 to provide helpful diagnostic/prognostic information in B-cell malignancies and may highlight novel pathways to be targeted for therapeutics in the future.

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Emerging Role of miRNAs in the Drug Resistance of Gastric Cancer

Cited by 100 publications

References 88 publications

WITHDRAWN: Overexpression of miR-382 sensitizes hepatocellular carcinoma cells to γδ T cells through inhibiting the expression of c-FLIP

WITHDRAWN: Overexpression of miR-382 sensitizes hepatocellular carcinoma cells to γδ T cells through inhibiting the expression of c-FLIP

Tools for Sequence-Based miRNA Target Prediction: What to Choose?

Expression Signature of MicroRNA-155 and its Association with Response to Treatment within Different Subtypes of B-Cell Malignancies

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