Evidence map›Paper›PMID 30334367›Full record

ArticleCancer medicine2018

Maternal embryonic leucine zipper kinase: A novel biomarker and a potential therapeutic target of cervical cancer.

Juan Wang, Yamei Wang, Fangrong Shen, Yanting Xu, Yinghui Zhang, Xinwei Zou, Jinhua Zhou, Youguo Chen

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 28 citations in OpenAlex.

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  6. Targeting MELK in tumor cells and tumor microenvironment: from function and mechanism to therapeutic application.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
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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

8 authors at 1 institution in 1 country.

Juan WangDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.ORCID 0000-0002-0823-4747
Yamei WangDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.
Fangrong ShenDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.
Yanting XuDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.
Yinghui ZhangDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.
Xinwei ZouDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.
Jinhua ZhouDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.ORCID 0000-0002-1163-002X
Youguo ChenDepartment of Obstetrics and Gynecology, The First Hospital Affiliated Soochow University, Suzhou, China.ORCID 0000-0001-8026-664X
Soochow University · CN

Funding

Bladder Fiducial Markers and Diffusion-MRI to Optimize Bladder Chemo-RadiotherapyR01CA201709 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA, MAURICE MARCEL · 2016 to 2022
$3.5M
6 · The paper itself

Abstract

Maternal embryo leucine zipper kinase (MELK) is highly expressed in a variety of malignant tumors and involved in cell cycle regulation, cell proliferation, apoptosis, tumor formation etc However, the biological effects of MELK in cervical cancer are still uninvestigated. This study aimed to explore the expression of MELK in cervical cancer, as well as its effects on the proliferation, apoptosis, DNA damage repair on cervical cancer cell line in vitro and to provide novel ideas for further improving the clinical efficacy of cervical cancer. Immunohistochemistry, Western blot, RT-qPCR, CCK8, and immunofluorescence techniques were used to detect the expression of MELK in cervical cancer tissues, paracancerous tissues, and cervical cancer cell lines. Several cervical cancer cell lines were treated with MELK knockdown by siRNA and MELK selective inhibitor OTSSP167. The effects on proliferation, apoptosis, and colony formation capacity, and tumor cell DNA damage repair-related factor were detected in cell lines. Our data showed that the high expression rate of MELK in cervical cancer patients was 56.92%. MELK expression in cervical cancer samples was significantly higher than that in paraneoplastic tissues. Highly expressed MELK correlated with the cervical histopathological grading and greatly increased with the cervical histopathological grading, from normal cervix and cervical intraepithelial neoplasia to cervical cancer. Moreover, the abnormal expression of MELK was related to cervical cancer metastasis at early stage. The knockdown of MELK with siRNA and OTSSP167 had strong inhibition effects on the proliferation, apoptosis, and colony formation of cervical cancer cells. MELK knockdown could also aggravate the DNA damage of cervical cancer cells possibly by homologous recombination repair pathway. Therefore, MELK may be a predicting marker of poor prognosis of cervical cancer and may also be a new therapeutic target for cervical cancer, providing ideas for improving the therapeutic effect of cervical cancer.

Indexed as

Up-RegulationAdultAgedBiomarkers, TumorCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticGene Knockdown TechniquesHeLa CellsHumansMiddle AgedNeoplasm GradingPrognosisProtein Serine-Threonine KinasesSurvival AnalysisBiomarkers, TumorMELK protein, humanProtein Serine-Threonine Kinasesapoptosiscervical cancerchemoradiotherapyDNA damage

Identifiers

PMID30334367
PMCPMC6246930
OpenAlexW2896612305

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.