MiRNAs Which Target CD3 Subunits Could Be Potential Biomarkers for Cancers

Alashti, Fariborz Asghari; Minuchehr, Zarrin

doi:10.1371/journal.pone.0078790

Cited by 7 publications

(8 citation statements)

References 77 publications

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“…In scanning miRNA levels from blood cells these miRNAs were not, however, found to be present among the most over- or underexpressed miRNAs in CD3 or CD19 positive cells [60]. miR-23b or miR-144 are not either targets against CD3 gene complex [61]. The miRNAs studied here, however, are regulating the Nrf2/Keap1 axis in these cells, and in activated T or B cells their expression may change.…”

Section: Discussionmentioning

confidence: 99%

Redox Regulating Enzymes and Connected MicroRNA Regulators Have Prognostic Value in Classical Hodgkin Lymphomas

Karihtala

Porvari

Soini

et al. 2017

Oxidative Medicine and Cellular Longevity

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There are no previous studies assessing the microRNAs that regulate antioxidant enzymes in Hodgkin lymphomas (HLs). We determined the mRNA levels of redox regulating enzymes peroxiredoxins (PRDXs) I–III, manganese superoxide dismutase (MnSOD), nuclear factor erythroid-derived 2-like 2 (Nrf2), and Kelch-like ECH-associated protein 1 (Keap1) from a carefully collected set of 41 classical HL patients before receiving any treatments. The levels of redoxmiRs, miRNAs known to regulate the above-mentioned enzymes, were also assessed, along with CD3, CD20, and CD30 protein expression. RNAs were isolated from freshly frozen lymph node samples and the expression levels were analyzed by qPCR. mir23b correlated inversely with CD3 and CD20 expressions (p = 0.00076; r = −0.523 and p = 0.0012; r = −0.507) and miR144 with CD3, CD20, and CD30 (p = 0.030; r = −0.352, p = 0.041; r = −0.333 and p = 0.0032; r = −0.47, resp.). High MnSOD mRNA levels associated with poor HL-specific outcome in the patients with advanced disease (p = 0.045) and high miR-122 levels associated with worse HL-specific survival in the whole patient population (p = 0.015). When standardized according to the CD30 expression, high miR212 and miR510 predicted worse relapse-free survival (p = 0.049 and p = 0.0058, resp.). In conclusion, several redoxmiRs and redox regulating enzyme mRNA levels associate with aggressive disease outcome and may also produce prognostic information in classical HL.

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Section: Discussionmentioning

confidence: 99%

Redox Regulating Enzymes and Connected MicroRNA Regulators Have Prognostic Value in Classical Hodgkin Lymphomas

Karihtala

Porvari

Soini

et al. 2017

Oxidative Medicine and Cellular Longevity

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“…The result suggested that these mRNAs might act as biomarkers to improve the diagnostic accuracy of efficient evaluation for GLE treatment. Interestingly, CD3G can be used as suitable biomarkers to distinguishing cancer in the very early stages of its development 27 . GNAS mutation occurred in gastric cancer 28 , and GNAS-mutated carcinoma was arising from gastric foveolar metaplasia in the duodenum after 9 years of observation 29 .…”

Section: Discussionmentioning

confidence: 99%

The effect of Ganoderma lucidum extract on immunological function and identify its anti-tumor immunostimulatory activity based on the biological network

Zhao

Chen

2018

Sci Rep

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Ganoderma lucidum extract (GLE) has shown positive effects for tumor treatment. However, the molecular mechanism of GLE treatment is unknown. In this study, a Hepa1-6-bearing C57 BL/6 mouse model was established to explore the anti-tumor and immunostimulatory activity of GLE treatment. The results showed that GLE effectively inhibited tumor growth without hepatic/renal toxicity and bone marrow suppression, and might enhancing immunological function. Based on the mRNA profiles of GLE treated and untreated mice, 302 differentially expressed (DE) mRNAs were identified and 6 kernel mRNAs were identified from the established protein-protein interaction (PPI) network. Quantitative RT-PCR and western-blot analysis indicated that 6 mRNAs have had statistically significant differences between the GLE treated and untreated mice. Furthermore, four kernel pathways were isolated from the KEGG-Target network, including the Jak-STAT signaling pathway, T cell receptor signaling pathway, PI3K-Akt signaling pathway, and cytokine-cytokine receptor interaction. Western-blot and cytokine detection results demonstrated that GLE suppressed growth and proliferation of tumors by the Jak-STAT signaling pathway, T cell receptor signaling pathway and PI3K-Akt signaling pathway, but also regulated the expression levels of serum immune cytokines and improved the anti-tumor immunostimulatory activity.

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“…CD3G has been widely reported to participate in antigen recognition associated biological processes, coupling antigen recognition to specific intracellular signal transduction pathways [ 101 , 102 ]. Encoding a specific protein that can be easily detected by liquid biopsy, CD3G has been confirmed to be differentially expressed, and may be a direct target of different functional microRNA targets different subtypes [ 103 ]. In breast cancer and colorectal cancer, this gene has been confirmed to be differentially expressed compared to normal controls, implying that CD3G can distinguish breast cancer and colorectal cancer samples from other tumor subtypes and normal controls [ 103 ].…”

Section: Discussionmentioning

confidence: 99%

“…Encoding a specific protein that can be easily detected by liquid biopsy, CD3G has been confirmed to be differentially expressed, and may be a direct target of different functional microRNA targets different subtypes [ 103 ]. In breast cancer and colorectal cancer, this gene has been confirmed to be differentially expressed compared to normal controls, implying that CD3G can distinguish breast cancer and colorectal cancer samples from other tumor subtypes and normal controls [ 103 ]. Considering that CD3G and its regulatory miRNAs have already been detected in peripheral blood, it may be reasonable to use CD3G as a potential biomarker for liquid biopsy, validating our prediction [ 103 ].…”

Section: Discussionmentioning

confidence: 99%

“…In breast cancer and colorectal cancer, this gene has been confirmed to be differentially expressed compared to normal controls, implying that CD3G can distinguish breast cancer and colorectal cancer samples from other tumor subtypes and normal controls [ 103 ]. Considering that CD3G and its regulatory miRNAs have already been detected in peripheral blood, it may be reasonable to use CD3G as a potential biomarker for liquid biopsy, validating our prediction [ 103 ]. Another cluster of differentiation (CD) protein, CD27 (ENSG00000139193), was also found in this study.…”

Section: Discussionmentioning

confidence: 99%

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Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets

et al. 2017

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Detection and diagnosis of cancer are especially important for early prevention and effective treatments. Traditional methods of cancer detection are usually time-consuming and expensive. Liquid biopsy, a newly proposed noninvasive detection approach, can promote the accuracy and decrease the cost of detection according to a personalized expression profile. However, few studies have been performed to analyze this type of data, which can promote more effective methods for detection of different cancer subtypes. In this study, we applied some reliable machine learning algorithms to analyze data retrieved from patients who had one of six cancer subtypes (breast cancer, colorectal cancer, glioblastoma, hepatobiliary cancer, lung cancer and pancreatic cancer) as well as healthy persons. Quantitative gene expression profiles were used to encode each sample. Then, they were analyzed by the maximum relevance minimum redundancy method. Two feature lists were obtained in which genes were ranked rigorously. The incremental feature selection method was applied to the mRMR feature list to extract the optimal feature subset, which can be used in the support vector machine algorithm to determine the best performance for the detection of cancer subtypes and healthy controls. The ten-fold cross-validation for the constructed optimal classification model yielded an overall accuracy of 0.751. On the other hand, we extracted the top eighteen features (genes), including TTN, RHOH, RPS20, TRBC2, in another feature list, the MaxRel feature list, and performed a detailed analysis of them. The results indicated that these genes could be important biomarkers for discriminating different cancer subtypes and healthy controls.

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MiRNAs Which Target CD3 Subunits Could Be Potential Biomarkers for Cancers

Cited by 7 publications

References 77 publications

Redox Regulating Enzymes and Connected MicroRNA Regulators Have Prognostic Value in Classical Hodgkin Lymphomas

Redox Regulating Enzymes and Connected MicroRNA Regulators Have Prognostic Value in Classical Hodgkin Lymphomas

The effect of Ganoderma lucidum extract on immunological function and identify its anti-tumor immunostimulatory activity based on the biological network

Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets

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