Identifying relevant group of miRNAs in cancer using fuzzy mutual information

Pal, Jayanta Kumar; Ray, Swati; Pal, Shantanu

doi:10.1007/s11517-015-1360-1

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…Articles reports that miR-519 was involved in the regulation of lung cancer processes. 9,10 Cheng et al 11 reported that knockdown of LINC01419 inhibited cell proliferation and metastasis in lung adenocarcinoma via upregulating miR-519b-3p.…”

Section: Introductionmentioning

confidence: 99%

<p>miR-519d-3p Overexpression Inhibits P38 and PI3K/AKT Pathway via Targeting VEGFA to Attenuate the Malignant Biological Behavior of Non-Small Cell Lung Cancer</p>

Zhang

Yuan

et al. 2020

OTT

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Background: Non-small cell lung cancer (NSCLC) is a heterogeneous tumor that accounts for approximately 85% of all lung cancer cases worldwide. microRNAs (miRNAs) are believed to play an important role in regulating a variety of biological processes, including immunity and cancer. We investigated the effect of miR-519d-3p on the mitigation of NSCLC in vitro and in vivo. Methods: RT-PCR or immunohistochemical assays were used to assess the expression of miR-519d-3p. Colony formation, flow cytometry, and transwell assay were respectively used to detect proliferation, apoptosis, and invasion of A549 and NCI-H661 cell lines. Luciferase reporter assay was used to verify targeting the relationship between mir-519d-3p and VEGFA. Western blot was used to examine the expression of Ki67, caspase-3, E-cadherin, N-cadherin, VEGF, P38, and PI3K/AKT. Animal models were established by BABL/c mice to research the effect of mir-519d-3p overexpression in vivo. Results: In vitro, miR-519d-3p overexpression inhibited A549 and NCI-H661 cells proliferation, invasion, and also promoted apoptosis. In addition, miR-519d-3p overexpression downregulated VEGFA expression and decreased the P38 and PI3K/AKT phosphorylation level. In vivo, miR-519d-3p overexpression significantly restrained tumor volume (2087 ±265 mm 3 vs 599±135 mm 3 , *P< 0.05) and tumor weight (0.45±0.08 g vs 0.13±0.06 g, *P<0.05) compared with the control group. Overexpression of miR-519d-3p downregulated levels of Ki67 and N-cadherin significantly. Conclusion: The data indicated that miR-519d-3p could be a novel therapy or adjuvant against NSCLC.

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Section: Introductionmentioning

confidence: 99%

<p>miR-519d-3p Overexpression Inhibits P38 and PI3K/AKT Pathway via Targeting VEGFA to Attenuate the Malignant Biological Behavior of Non-Small Cell Lung Cancer</p>

Zhang

Yuan

et al. 2020

OTT

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“…The majority of these genes and miRNAs have previously been correlated to lung cancer. For example, a suppressed translation and degradation of ULK1 represents a potential mechanism for autophagy limitation in lung cancer [33] , whereas miR-320c was described as core predictor for lung and other cancers [34] .…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide MicroRNA Expression Profiles in COPD: Early Predictors for Cancer Development

Keller¹,

Fehlmann²,

Ludwig³

et al. 2018

Genomics, Proteomics &Amp; Bioinformatics

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Chronic obstructive pulmonary disease (COPD) significantly increases the risk of developing cancer. Biomarker studies frequently follow a case-control set-up in which patients diagnosed with a disease are compared to controls. Longitudinal cohort studies such as the COPD-centered German COPD and SYstemic consequences-COmorbidities NETwork (COSYCONET) study provide the patient and biomaterial base for discovering predictive molecular markers. We asked whether microRNA (miRNA) profiles in blood collected from COPD patients prior to a tumor diagnosis could support an early diagnosis of tumor development independent of the tumor type. From 2741 participants of COSYCONET diagnosed with COPD, we selected 534 individuals including 33 patients who developed cancer during the follow-up period of 54 months and 501 patients who did not develop cancer, but had similar age, gender and smoking history. Genome-wide miRNA profiles were generated and evaluated using machine learning techniques. For patients developing cancer we identified nine miRNAs with significantly decreased abundance (two-tailed unpaired t-test adjusted for multiple testing P < 0.05), including members of the miR-320 family. The identified miRNAs regulate different cancer-related pathways including the MAPK pathway (P = 2.3 × 10−5). We also observed the impact of confounding factors on the generated miRNA profiles, underlining the value of our matched analysis. For selected miRNAs, qRT-PCR analysis was applied to validate the results. In conclusion, we identified several miRNAs in blood of COPD patients, which could serve as candidates for biomarkers to help identify COPD patients at risk of developing cancer.

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“…Certain people have working one cancer Figure 1. Represented the framework of can by using FSs [36,37], BFSs [38,39], and CFSs [40]. Cancer is a collection of diseases in which cells separate without mechanism or order.…”

Section: Introductionmentioning

confidence: 99%

A Knowledge-Based System for the Classification of Cancer Diseases in Human Body Using Hybrid Approaches Based on Bipolar Complex Fuzzy Information

Mahmood,

Rehman,

Emam

et al. 2023

IEEE Access

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Cancer is a collection of diseases in which cells separate without mechanism or order. The over-division of cells affects information recognized as a tumor. Not every tumor is considered cancer. To be identified as cancer, a tumor must damage neighboring muscles or tissues. International collaboration on cancer reporting (ICCR) information organization has been utilized to give a dominant, indication-based technique for the converging of carcinoma. The influence guarantees that the information organizations given for distinct tumor sorts have a dominant rule and style and includes all the parameters required to guide administration and prediction for separate cancers. This manuscript aims to expose certain new and valuable ideas with the help of bipolar complex fuzzy (BCF) information and power aggregation operators and evaluated their influential and dominant results and properties. Additionally, finding the most deadly and awkward sort of cancer in the world is very complicated. The main theme of the diagnosed operators is to evaluate the problem related to finding the deadliest type of cancer in human beings and try to compare the final result with the certain prevailing result to enhance the worth of the evaluated approaches INDEX TERMS Bipolar complex fuzzy information, Power Averaging/geometric aggregation operators, Classification of cancer diseases.

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Identifying relevant group of miRNAs in cancer using fuzzy mutual information

Cited by 13 publications

References 37 publications

<p>miR-519d-3p Overexpression Inhibits P38 and PI3K/AKT Pathway via Targeting VEGFA to Attenuate the Malignant Biological Behavior of Non-Small Cell Lung Cancer</p>

<p>miR-519d-3p Overexpression Inhibits P38 and PI3K/AKT Pathway via Targeting VEGFA to Attenuate the Malignant Biological Behavior of Non-Small Cell Lung Cancer</p>

Genome-Wide MicroRNA Expression Profiles in COPD: Early Predictors for Cancer Development

A Knowledge-Based System for the Classification of Cancer Diseases in Human Body Using Hybrid Approaches Based on Bipolar Complex Fuzzy Information

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