Evidence map›Paper›PMID 28640252›Full record

ArticleCell death & disease2017

Long non-coding RNA ATB promotes malignancy of esophageal squamous cell carcinoma by regulating miR-200b/Kindlin-2 axis.

Zhongwen Li, Xiaoliang Wu, Ling Gu, Qi Shen, Wen Luo, Chuangzhong Deng, Qianghua Zhou, Xinru Chen, Yanjie Li, ZuanFu Lim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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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

13 authors at 7 institutions in 2 countries.

Zhongwen LiDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Xiaoliang WuDepartment of Oncology, Guizhou Provincial People's Hospital, Guiyang, China.
Ling GuState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Qi ShenDepartment of Oncology, Guizhou Provincial People's Hospital, Guiyang, China.
Wen LuoDepartment of Oncology, Guizhou Provincial People's Hospital, Guiyang, China.
Chuangzhong DengState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Qianghua ZhouState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinru ChenState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yanjie LiThe 3rd Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
ZuanFu LimWVU Cancer Institute, Mary Babb Randolph Cancer Institute, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA.
Xing WangState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jiahong WangState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xianzi YangState Key Laboratory of Oncology in South China, and Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNGuizhou Provincial People's Hospital · CNPuer University · CNThird Affiliated Hospital of Sun Yat-sen University · CNWest Virginia University · USZunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the leading causes of cancer-related death, especially in China. In addition, the prognosis of late stage patients is extremely poor. However, the biological significance of the long non-coding RNA lnc-ATB and its potential role in ESCC remain to be documented. In this study, we investigated the role of lnc-ATB and the underlying mechanism promoting its oncogenic activity in ESCC. Expression of lnc-ATB was higher in ESCC tissues and cell lines than that in normal counterparts. Upregulated lnc-ATB served as an independent prognosis predictor of ESCC patients. Moreover, loss-of-function assays in ESCC cells showed that knockdown of lnc-ATB inhibited cell proliferation and migration both in vitro and in vivo. Mechanistic investigation indicated that lnc-ATB exerted oncogenic activities via regulating Kindlin-2, as the anti-migration role of lnc-ATB silence was attenuated by ectopic expression of Kindlin-2. Further analysis showed that lnc-ATB functions as a molecular sponge for miR-200b and Kindlin-2. Dysregulated miR-200b/Kindlin-2 signaling mediated the oncogenic activity of lnc-ATB in ESCC. Our results suggest that lnc-ATB predicts poor prognosis and may serve as a potential therapeutic target for ESCC patients.

Indexed as

Gene Expression Regulation, NeoplasticSignal TransductionAnimalsBase SequenceCarcinoma, Squamous CellCell Cycle CheckpointsCell Line, TumorCell MovementCell ProliferationEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleGene Knockdown TechniquesHumansLung NeoplasmsMaleFERMT3 protein, humanMembrane ProteinsMicroRNAsMIRN200 microRNA, humanNeoplasm ProteinsRNA, Long Noncoding

Identifiers

PMID28640252
PMCPMC5520904
OpenAlexW2705982889

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.