Evidence map›Paper›PMID 33239622›Full record

ArticleCell death & disease2020

Targeting the NCOA3-SP1-TERT axis for tumor growth in hepatocellular carcinoma.

Wenbin Li, Yue Yan, Zongheng Zheng, Qiaohua Zhu, Qian Long, Silei Sui, Meihua Luo, Miao Chen, Yizhuo Li, Yijun Hua and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Clinicopathologic and Molecular Genetic Features of Spindle Cell Rhabdomyosarcoma Harboring ZFP64::NCOA2/3 Fusions: A Series of 14 Cases.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
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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 1 country.

Wenbin LiSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Yue YanSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Zongheng ZhengThe Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Qiaohua ZhuShunde Hospital of Southern Medical University, Foshan, Guangdong, China.
Qian LongSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Silei SuiInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, China.
Meihua LuoShunde Hospital of Southern Medical University, Foshan, Guangdong, China.
Miao ChenSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Yizhuo LiSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Yijun HuaSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Wuguo DengSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China. dengwg@sysucc.org.cn.
Renchun LaiSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China. lairch@sysucc.org.cn.
Liren LiSun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center of Cancer Medicine, Guangzhou, China. lilr@sysucc.org.cn.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNDalian Medical University · CNGuangzhou Medical University · CNSouthern Medical University · CNThe First People's Hospital of Shunde · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) has a high mortality rate and lacks an effective therapeutic target. Elevated expression of human telomerase reverse transcriptase (TERT) is an important hallmark in cancers, but the mechanism by which TERT is activated differentially in cancers is poorly understood. Here, we have identified nuclear receptor coactivator-3 (NCOA3) as a new modulator of TERT expression and tumor growth in HCC. NACO3 specifically binds to the TERT promoter at the -234 to -144 region and transcriptionally activates TERT expression. NCOA3 promotes HCC cell growth and tumor progression in vitro and in vivo through upregulating the TERT signaling. Knockdown of NACO3 suppresses HCC cell viability and colony formation, whereas TERT overexpression rescues this suppression. NCOA3 interacts with and recruits SP1 binding on the TERT promoter. Knockdown of NCOA3 also inhibits the expression of the Wnt signaling-related genes but has no effect on the Notch signaling-targeting genes. Moreover, NCOA3 is positively correlated with TERT expression in HCC tumor tissues, and high expression of both NCOA3 and TERT predicts a poor prognosis in HCC patients. Our findings indicate that targeting the NCOA3-SP1-TERT signaling axis may benefit HCC patients.

Indexed as

AnimalsBiomarkers, TumorCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMiceMice, NudeNuclear Receptor Coactivator 3OncogenesSurvival AnalysisTransfectionBiomarkers, TumorNcoa3 protein, mouseNuclear Receptor Coactivator 3

Identifiers

PMID33239622
PMCPMC7689448
OpenAlexW3108656775

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.