Evidence map›Paper›PMID 29945347›Full record

ArticleCancer biomarkers : section A of Disease markers2018

LncRNA GACAT3 predicts poor prognosis and promotes cell proliferation in breast cancer through regulation of miR-497/CCND2.

Hua Zhong, Jun Yang, Bin Zhang, Xiaofang Wang, Lihong Pei, Lei Zhang, Zhiqiang Lin, Yanan Wang, Chengbin Wang

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  11. LncRNAFrontiers in cell and developmental biology · 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

9 authors at 2 institutions in 1 country.

Hua ZhongDepartment of Clinical Laboratory, Chinese PLA General Hospital, Beijing 100853, China.
Jun YangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Bin ZhangDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Xiaofang WangDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Lihong PeiDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Lei ZhangDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Zhiqiang LinDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Yanan WangDepartment of Clinical Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, Henan, China.
Chengbin WangDepartment of Clinical Laboratory, Chinese PLA General Hospital, Beijing 100853, China.
First Affiliated Hospital of Xinxiang Medical University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common malignancy in women which increases gradually all over the world. LncRNA GACAT3 has been found to be increased in gastric cancer and associated with tumor malignancy. However, whether GACAT3 plays a role in the regulation of breast cancer is not known. In the present study, we found that GACAT3 expression was increased in breast cancer tissues and cells compared with adjacent normal tissues and normal cells. High GACAT3 expression was correlated with the poor prognosis of breast cancer patients. GACAT3 and cyclin D2 (CCND2) contained a binding site of miR-497. miR-497 was decreased in breast cancer tissues and cells compared with adjacent normal tissues and normal cells. Low miR-497 expression was correlated with the poor prognosis of breast cancer patients. In breast cancer tissues, the expression of miR-497 was negatively correlated with GACAT3. Downregulation of GACAT3 increased miR-497 expression. miR-497 mimic reduced the luciferase of GACAT3 and CCND2. Anti-miR-497 reversed the effects of GACAT3 downregulation. We also found that GACAT3 may act as a ceRNA for miR-497, enhancing the expression of CCND2. In conclusion, GACAT3 promotes breast cancer malignancy by sponging miR-497, leading to the enhancement of its endogenous target CCND2. These results suggest that GACAT3/miR-497/CCND2 is a potential therapeutic target and biomarker for breast cancer.

Indexed as

Breast NeoplasmsCell Line, TumorCell ProliferationCyclin D2FemaleGene Expression Regulation, NeoplasticHumansMicroRNAsPrognosisRNA, Long NoncodingCCND2 protein, humanCyclin D2MicroRNAsMIRN497 microRNA, humanRNA, Long NoncodingBreast cancerCCND2lncRNA GACAT3malignancymiR-497

Identifiers

PMID29945347
PMCPMC13078496
OpenAlexW2809116462

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.