Evidence map›Paper›PMID 30787987›Full record

ArticleAmerican journal of translational research2019

LncRNA NORAD promotes thyroid carcinoma progression through targeting miR-202-5p.

Hongjiang He, Hao Yang, Daming Liu, Rong Pei

Abstract read
In one paragraph

Article in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  3. The microRNA-202 as a Diagnostic Biomarker and a Potential Tumor Suppressor.International journal of molecular sciences · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hongjiang HeDepartment of Head and Neck Surgery, Affiliated Tumor Hospital of Harbin Medical University No. 150, Haping Road, Nangang District, Harbin 150081, Heilongjiang, China.
Hao YangDepartment of Head and Neck Surgery, Affiliated Tumor Hospital of Harbin Medical University No. 150, Haping Road, Nangang District, Harbin 150081, Heilongjiang, China.
Daming LiuDepartment of Head and Neck Surgery, Affiliated Tumor Hospital of Harbin Medical University No. 150, Haping Road, Nangang District, Harbin 150081, Heilongjiang, China.
Rong PeiDepartment of Head and Neck Surgery, Affiliated Tumor Hospital of Harbin Medical University No. 150, Haping Road, Nangang District, Harbin 150081, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) have been shown to have several functional roles in tumor biology, and they are deregulated in many types of cancer. The role of a novel lncRNA, NORAD, in papillary thyroid carcinoma (PTC) is still unknown. In this study, we demonstrated that NORAD expression was upregulated in PTC cell lines and samples. Ectopic expression of NORAD promoted PTC cell growth, invasion and migration. Overexpression of NORAD promotes epithelial-to-mesenchymal transition (EMT) progression in the PTC cell. Furthermore, overexpression of NORAD suppressed miR-202-5p expression in PTC cells. The data suggested that miR-202-5p expression was downregulated in PTC cell lines and samples and was negatively correlated with NORAD expression in PTC tissues. Overexpression of miR-202-5p suppressed PTC cell growth, invasion and migration. In addition, we demonstrated that elevated expression of NORAD promoted PTC cell growth, invasion and migration by inhibiting miR-202-5p expression. These results suggested that the lncRNA NORAD acts as an oncogene in PTC progression, partly by regulating miR-202-5p expression.

Indexed as

long noncoding RNAmiR-202-5pNORADPapillary thyroid carcinoma

Identifiers

PMID30787987
PMCPMC6357332

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.