Evidence map›Paper›PMID 30643969›Full record

ArticleJournal of cancer research and clinical oncology2019

ZWINT is the next potential target for lung cancer therapy.

Fang Peng, Qiang Li, Shao-Qing Niu, Guo-Ping Shen, Ying Luo, Ming Chen, Yong Bao

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  17. ZW10 Binding Factor (ZWINT), a Direct Target of Mir-204, Predicts Poor Survival and Promotes Proliferation in Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

7 authors at 4 institutions in 1 country.

Fang PengDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China.
Qiang LiDepartment of Organ Transplantation and General Surgery, Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Shao-Qing NiuDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China.
Guo-Ping ShenDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China.
Ying LuoDepartment of Clinical Laboratory, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, People's Republic of China.
Ming ChenDepartment of Radiation Oncology, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, 1 East Banshan Road, Hangzhou, 310022, Zhejiang, People's Republic of China. chenming@zjcc.org.cn.
Yong BaoDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, 510080, Guangdong, People's Republic of China. baoyong@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-2792-5957
Sun Yat-sen University · CNCentral South University · CNGuangdong General Hospital · CNZhejiang Cancer Hospital · CN

Funding

National Natural Science Foundation of China 81602661Natural Science Foundation of Guangdong Province, China 2016A030310164
6 · The paper itself

Abstract

purposeWe aimed to analyze the expression of ZWINT, NUSAP1, DLGAP5, and PRC1 in tumor tissues and adjacent tissues with public data.

methodsThe expression patterns of four genes were detected in cancer tissues and adjacent tissues by qRT-PCR. The overall survival analysis was used to explore these genes in lung adenocarcinoma and squamous cell carcinoma patients. Knockdown assays were used to select the most suitable gene among these four genes. Cell function assays with the knockdown gene were conducted in A549 and NCL H226 cells. The role of the knockdown gene in lung cancer was dissected in a mice tumor model. Transcriptome sequencing analyses with the knockdown gene were analyzed.

resultsOverexpression of these genes was significantly detected in cancer tissues (P < 0.01). Overall survival revealed that high expression of these genes is closely related with poor prognosis of lung adenocarcinoma patients (P < 0.05). Knockdown of ZWINT reduced proliferation in NCI H226 and A549 cells (P < 0.05). Knockdown also inhibited cell migration, invasion, apoptosis, and colony formation (P < 0.05). ZWINT knockdown reduced tumor volume (P < 0.05). Transcriptome sequencing of ZWINT knockdown-treated A549 and NCI H226 cells indicated that 100 and 426 differentially expressed genes were obtained, respectively. Gene ontology analysis suggested that binding, biological regulation, and multicellular organismal processes were the most enriched. KEGG analysis revealed that TNF, P53, and PI3K signal networks would be the most potential ZWINT-related pathways and were identified by Western blot analysis.

conclusionsZWINT may be a novel target for lung cancer therapy.

Indexed as

AnimalsApoptosisBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Cycle ProteinsCell Line, TumorCell MovementCell ProliferationGene Knockdown TechniquesHeterograftsHumansIntracellular Signaling Peptides and ProteinsKaplan-Meier EstimateLung NeoplasmsMiceMice, NudeBiomarkers, TumorCell Cycle ProteinsDLGAP5 protein, humanIntracellular Signaling Peptides and ProteinsMicrotubule-Associated ProteinsNeoplasm ProteinsNuclear ProteinsNUSAP1 protein, humanPRC1 protein, humanZWINT protein, humanDifferentially expressed genesGene ontologyKEGGLung cancerZWINT

Identifiers

PMID30643969
PMCPMC11810406
OpenAlexW2909732973

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.