miR-944 inhibits cell migration and invasion by targeting MACC1 in colorectal cancer

Li, Wen; Li, Yingru; Jiang, Zhipeng; Zhang, Yuchao; Yang, Bin; Han, Fanghai

doi:10.3892/or.2017.5611

Cited by 40 publications

(45 citation statements)

References 24 publications

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“…Although there are many studies on microRNA and colon cancer, such as mir-30a-5p (miR-30a) regulates cell motility and EMT by targeting TM4SF1 in colorectal cancer [18]. MiR-944 inhibits cell migration and invasion by targeting MACC1 in colorectal cancer [19]. At present, the study of miR-483 and colon cancer is relatively rare.…”

Section: Discussionmentioning

confidence: 99%

Mir‐483 inhibits colon cancer cell proliferation and migration by targeting TRAF1

Niu

Jiang

et al. 2018

The Kaohsiung J of Med Scie

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MicroRNAs are important regulators during human growth and development. Emerging evidence indicates that microRNAs play important roles in colorectal cancer. The aim of this study is to reveal the biological function and direct target gene of miR-483 in colorectal cancer. The biological function of miR-483 on the proliferation and migration of colon cancer cells was then examined by Edu assay and transwell assay, respectively. Our findings revealed that miR-483 mimic could significantly inhibit cell proliferation and migration. The target gene of miR-483 was predicted by target scan software and identified by a dual fluorescence reporter system which showed that TRAF1 was a direct target gene of miR-483 in SW480 cell line. These data suggest that miR-483 is a colorectal cancer suppressor which could inhibit cell proliferation and migration, possibly via targeting TRAF1. The miR-483 could be a potential treatment target for colorectal cancer.

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Section: Discussionmentioning

confidence: 99%

Mir‐483 inhibits colon cancer cell proliferation and migration by targeting TRAF1

Niu

Jiang

et al. 2018

The Kaohsiung J of Med Scie

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“…Twenty-four studies demonstrated the downregulation of twenty-five miRs associated with advanced TNM stage: miR-302c 67 , miR-466 68 , miR-340 69 , miR-196b-5p 70 , miR-944 71 , miR-30d 72 , miR-22 50 , miR-296 73 , miR-384 74 , miR-199b 48 , miR-128 75 , miR-33b 76 , miR-155-5p 77 , miR-154 78 , miR-149 79 , miR-194 80 , miR-133b 37 , miR-15a 34 , miR-100 81 , miR-133a 41 , miR-335 82 , miR-378a-3p 58 , miR-378a-5p 58 , miR-218 83 and miR-16 34 . Two studies demonstrated the upregulation of miR-182 43, 44 associated with advanced TNM stage and others 22 studies pointed 23 different upregulated miRs associated with advanced TNM stage.…”

Section: Resultsmentioning

confidence: 99%

“…A total of 32 studies demonstrated the association between the downregulation of 32 miRs and the presence of lymph node metastasis such as miR-6852 106 , miR-302c 67 , miR-466 68 , miR-340 69 , miR-944 71 , miR-30d 72 , miR-22 50 , miR-296 73 , miR-199b 47 , let-7a-5p 98 , miR-132 99 , miR-497 107 , miR-206 100 , miR-128 75 , miR-154 78 , miR-149 79 , miR-24-3p 54 , miR-15a 34 , miR-16 34, 36 , miR-193a-5p 108 , miR-100 81 , miR-133a 41 , miR-205 109 , miR-335 82 , miR-378 101 , miR-218 83 , miR-138 110 , miR-625 111 , miR-212 112 , miR-195 113 , miR-133b 37 and miR-30c 103 . Other 30 studies verified the upregulation of miR-1296 84 , miR-200c 114 , miR-21 26, 29 , miR-130a 85 , miR-7 55 , miR-96 86 , miR-1260b 115 , miR-517a 87 , miR-106b 88 , miR-320e 89 , miR-196a 57 , miR-196b 57 , miR-376a 116 , miR-720 91 , miR-494 61 , miR-630 92 , miR-181a 31 , miR-20a 62 , miR-210 93 , miR-182 43, 44 , miR-25 94 , miR-191 95 , miR-183 46 , miR-199a-3p 117 , miR-429 105 , miR-92a 96 , miR-10b 118 , miR-155 30 and miR-552 97 associated with the presence of lymph node metastasis.…”

Section: Resultsmentioning

confidence: 99%

“…The downregulation of miR-466 68 , miR-944 71 , miR-30d 72 , miR-22 49, 50 , miR-296 73 , miR-140-5p 119 , miR-199b 48 , miR-155-5p 77 , miR-99b-5p 120 , miR-154 78 , miR-149 79 , miR-96-5p 121 , miR-133b 38, 39 , miR-126 40 , miR-138 110 , miR-625 111 and miR-212 112 was associated with the presence of distant metastasis in 19 studies. The upregulation of miR-888 64 , miR-20a-5p 63 , miR-517a 87 , miR-320e 89 , miR-592 90 , miR-720 91 , miR-494 61 , miR-133a 42 , miR-210 38 , miR-630 92 , miR-17-5p 60 , miR-181a 31 , miR-25 94 , miR-191 95 , miR-183 46 , miR-224 52 , miR-199a-3p 117 , miR-92a 96 , miR-372 122 , miR-185 39 and miR-21 26, 28, 30 was associated with the presence of distant metastasis in 23 studies.…”

Section: Resultsmentioning

confidence: 99%

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Tissue micro-RNAs associated with colorectal cancer prognosis: a systematic review

Santos

Penna

Carneiro

et al. 2019

Preprint

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Colorectal cancer (CRC) is a multifactorial disease commonly diagnosed worldwide, with high mortality rates. Several studies demonstrate important associations between differential expression of micro-RNAs (miRs) and the prognosis of CRC. However, only a few systematic reviews emphasize the most relevant miRs able to contribute to the establishment of new prognostic biomarkers in CRC patients. The present study aimed to identify differentially expressed tissue miRs associated with prognostic factors in CRC patients, through a systematic review of the Literature. Using the PubMed database, Cochrane Library and Web of Science, studies published in English evaluating miRs differentially expressed in tumor tissue and significantly associated with the prognostic aspects of CRC were selected. All the included studies used RT-PCR (Taqman or SYBR Green) for miR expression analysis and the period of publication was from 2009 to 2018. A total of 115 articles accomplished the inclusion criteria and were included in the review. The studies investigated the expression of 102 different miRs associated with prognostic aspects in colorectal cancer patients. The most frequent oncogenic miRs investigated were miR-21, miR-181a, miR-182, miR-183, miR-210 and miR-224 and the hyperexpression of these miRs was associated with distant metastasis, lymph node metastasis and worse survival in patients with CRC. The most frequent tumor suppressor miRs were miR-126, miR-199b and miR-22 and the hypoexpression of these miRs was associated with distant metastasis, worse prognosis and a higher risk of disease relapse (worse disease-free survival). Specific tissue miRs are shown to be promising prognostic biomarkers in patients with CRC, given their strong association with the prognostic aspects of these tumors, however, new studies are necessary to establish the sensibility and specificity of the miRs in order to use them in clinical practice.

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“…hsa-mir-10b, the feature with the highest S f score, while not appearing in the surveys, 165 is currently under clinical trials as oncomarker for Glioma [45], and it is mentioned in a 166 recent article as possible oncomarker [46]. hsa-mir-944 at the moment is known to decrease malignant features in 170 gastric [49], colorectal [50] and endometrial [51] cancers. hsa-mir-9-1, hsa-mir9-2, and hsa-mir9-3, generate the oncogenic 169 hsa-mir-9 [48].…”

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confidence: 99%

Ensemble Feature Selection and Meta-Analysis of Cancer miRNA Biomarkers

Lopez-Rincon

Martínez‐Archundia

Martinez-Ruiz

et al. 2018

Preprint

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The role of microRNAs (miRNAs) in cellular processes captured the attention of many researchers, since their dysregulation is shown to affect the cancer disease landscape by sustaining proliferative signaling, evading program cell death, and inhibiting growth suppressors. Thus, miRNAs have been considered important diagnostic and prognostic biomarkers for several types of tumors. Machine learning algorithms have proven to be able to exploit the information contained in thousands of miRNAs to accurately predict and classify cancer types. Nevertheless, extracting the most relevant miRNA expressions is fundamental to allow human experts to validate and make sense of the results obtained by automatic algorithms. We propose a novel feature selection approach, able to identify the most important miRNAs for tumor classification, based on consensus on feature relevance from high-accuracy classifiers of different typologies. The proposed methodology is tested on a real-world dataset featuring 8,129 patients, 29 different types of tumors, and 1,046 miRNAs per patient, taken from The Cancer Genome Atlas (TCGA) database. A new miRNA signature is suggested, containing the 100 most important oncogenic miRNAs identified by the presented approach. Such a signature is proved to be sufficient to identify all 29 types of cancer considered in the study, with results nearly identical to those obtained using all 1,046 features in the original dataset. Subsequently, a meta-analysis of the medical literature is performed to find references to the most important biomarkers extracted by the methodology. Besides known oncomarkers, 15 new miRNAs previously not ranked as important biomarkers for diagnosis and prognosis in cancer pathologies are uncovered. Such miRNAs, considered relevant by the machine learning algorithms, but still relatively unexplored by specialized literature, could provide further insights in the biology of cancer. Author summaryMicroRNAs (miRNAs) are non-coding RNA molecules that regulate gene expression. In the last years, the under and over expression of miRNAs has been related to the diagnosis and prognosis of specific cancer types. While machine learning techniques can efficiently exploit the information contained in thousands of miRNAs to detect the

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miR-944 inhibits cell migration and invasion by targeting MACC1 in colorectal cancer

Cited by 40 publications

References 24 publications

Mir‐483 inhibits colon cancer cell proliferation and migration by targeting TRAF1

Mir‐483 inhibits colon cancer cell proliferation and migration by targeting TRAF1

Tissue micro-RNAs associated with colorectal cancer prognosis: a systematic review

Ensemble Feature Selection and Meta-Analysis of Cancer miRNA Biomarkers

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