Evidence map›Paper›PMID 33624385›Full record

ArticleCancer medicine2021

Discovery and validation of novel biomarkers for detection of cervical cancer.

Zigang Li, Jianhua Chen, Shaobo Zhao, Yajun Li, Jie Zhou, Jianghong Liang, Huifang Tang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 34 citations in OpenAlex.

  1. Evaluation of serum Cytokeratin 5 and p63 as non-invasive biomarkers for the diagnosis and staging of cervical cancer: a case-control study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  9. CAP superfamily proteins in human: a new target for cancer therapy.Medical oncology (Northwood, London, England) · 2024
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  17. AhRR and PPP1R3C: Potential Prognostic Biomarkers for Serous Ovarian Cancer.International journal of molecular sciences · 2023
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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.

Zigang LiDepartment of Anesthesiology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0002-2244-138X
Jianhua ChenDepartment of Pathology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0002-2560-3188
Shaobo ZhaoDepartment of Pharmacology, School of Basic Medical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Yajun LiDepartment of Pharmacology, School of Basic Medical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0001-8925-9999
Jie ZhouDepartment of Anesthesiology, Tongde Hospital of Zhejang Province, Hangzhou, China.ORCID 0000-0002-0024-9485
Jianghong LiangDepartment of Stomatology, Guangzhou Hospital of Integrated Traditional and West Medicine, Guangzhou, China.
Huifang TangDepartment of Pharmacology, School of Basic Medical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0001-9541-1352
Zhejiang Chinese Medical University · CNWomen's Hospital, School of Medicine, Zhejiang University · CNIntegrated Chinese Medicine (China) · CNTongde Hospital of Zhejiang Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate novel biomarker for diagnosis of cervical cancer, we analyzed the datasets in Gene Expression Omnibus (GEO) and confirmed the candidate biomarker in patient sample. MATERIALS AND

methodsWe collected major datasets of cervical cancer in GEO, and analyzed the differential expression of normal and cancer samples online with GEO2R and tested the differences, then focus on the GSE63514 to screen the target genes in different histological grades by using the R-Bioconductor package and R-heatmap. Then human specimens from the cervix in different histological grades were used to confirm the top 8 genes expression by immunohistochemical staining using Ki67 as a standard control.

resultsWe identified genes differentially expressed in normal and cervical cancer, 274 upregulated genes and 206 downregulated genes. After intersection with GSE63514, we found the obvious tendency in different histological grades. Then we screened the top 24 genes, and confirmed the top 8 genes in human cervix tissues. Immunohistochemical (IHC) results confirmed that keratin 17 (KRT17) was not expressed in normal cervical tissues and was over-expressed in cervical cancer. Cysteine-rich secretory protein-2 (CRISP2) was less expressed in high-grade squamous intraepithelial lesions (HSILs) than in other histological grades.

conclusionFor the good repeatability and consistency of KRT17 and CRISP2, they may be good candidate biomarkers. Combined analysis of KRT17, CRISP2 expression at both genetic and protein levels can determine different histological grades of cervical squamous cell carcinoma. Such combined analysis is capable of improving diagnostic accuracy of cervical cancer.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellCell Adhesion MoleculesCell Cycle ProteinsCervix UteriDatabases, GeneticDatasets as TopicDesmoglein 1DNA-Binding ProteinsDown-RegulationFemaleGene Expression ProfilingGenetic MarkersHumansImmunohistochemistryIntracellular Signaling Peptides and ProteinsBiomarkers, TumorCell Adhesion MoleculesCell Cycle ProteinsCRISP2 protein, humanCRISP3 protein, humanDesmoglein 1DNA-Binding ProteinsDSG1 protein, humanGenetic MarkersIntracellular Signaling Peptides and ProteinsKeratin-17Ki-67 AntigenKRT17 protein, humanMKI67 protein, humanneurofilament protein HNeurofilament ProteinsPPP1R3C protein, humanSalivary Proteins and PeptidesSeminal Plasma ProteinsSYCP2 protein, humanbiomarkercervical cancerCRISP2GEOKRT17

Identifiers

PMID33624385
PMCPMC7957177
OpenAlexW3131570441

What OpenQuestion holds

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LicenceCC BY
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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.