Evidence map›Paper›PMID 33042400›Full record

ArticleAmerican journal of translational research2020

Identification of KIF23 as a prognostic signature for ovarian cancer based on large-scale sampling and clinical validation.

Yuexin Hu, Mingjun Zheng, Caixia Wang, Shuang Wang, Rui Gou, Ouxuan Liu, Xiao Li, Juanjuan Liu, Bei Lin

Abstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

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  6. Comprehensive bioinformatics analysis of co-mutation ofTranslational cancer research · 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

9 authors.

Yuexin HuDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Mingjun ZhengDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Caixia WangDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Shuang WangDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Rui GouDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Ouxuan LiuDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Xiao LiDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Juanjuan LiuDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.
Bei LinDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University No. 36 Sanhao Street, Heping District, Shenyang, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to explore the expression and clinical significance of KIF23 in ovarian cancer (OV) and identify potential targets for clinical treatment. Oncomine, GEO, and TCGA databases were used to analysis the expression of KIF23 in OV. The prognostic value of KIF23 gene was analyzed by the Kaplan-Meier plotter database. The molecular mechanism of KIF23 activity was analyzed from the perspective of immunology, gene mutation, copy number variation (CNV). Finally, immunohistochemistry was conducted to validate the expression of KIF23, univariable and multivariate cox analysis were used to determine its relationship with clinical characteristics and OV prognosis. It showed that highly expressed KIF23 is an adverse independent prognostic biomarker for OV patients. Genomics analysis showed that KIF23 expression was associated with mutations such as FLG2 and TTN, and was significantly enriched in DNA replication and the cell cycle tumor-related signaling pathways. Immunology analysis showed that KIF23 is closely related to the immune infiltration. KIF23 can not only performed as a prognosis signature in OV but also as a target of immune molecular therapeutics.

Indexed as

biomarkerimmune infiltrationimmunohistochemistryKIF23ovarian cancerprognosis

Identifiers

PMID33042400
PMCPMC7540138

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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.