Evidence map›Paper›PMID 40927771›Full record

ArticleInternational journal of general medicine2025

RCN1 Binds KIF14 and Promotes the Malignant Growth of Cervical Cancer Through the PI3K-AKT Pathway.

Yanyu Li, Li Cai, Jiayun Zhou, Xuping Zhang, Yunuo Zheng, Jingbo Zhang, Hui Cheng, Qing Wang, Bei Zhang

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Yanyu Li *Suzhou Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.ORCID 0000-0002-0243-2849
Li Cai *Department of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Jiayun Zhou *Department of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Xuping ZhangDepartment of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Yunuo ZhengDepartment of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Jingbo ZhangDepartment of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Hui ChengDepartment of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Qing WangDepartment of Gynecology and Obstetrics, Xuzhou Central Hospital, Xuzhou, Jiangsu, People's Republic of China.
Bei ZhangSuzhou Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The fourth most common cause of cancer-related deaths in women is cervical cancer. Though treatment of early-stage cervical cancer is often effective, middle and advanced stage cervical cancer is hard to treat and prone to recurrence. We sought to explore the mechanism underlying cervical cancer progression to identify new therapeutic approaches. Methods: Label-free mass spectrometry (LC-MS/MS) was used to identify differentially expressed proteins in cervical cancer and normal tissues. The findings were confirmed by Western blotting, RT-qPCR, and immunohistochemistry. The function of RCN1 in tumor invasion, metastasis, and proliferation was investigated using in vitro and in vivo tests. Immunoprecipitation tandem mass spectrometry (IP-MS) was performed in RCNI knockdown cells to identify downstream pathways. Western blotting was used for detecting the expressions of the key proteins included in KIF14 and PI3K-AKT-mTOR signaling pathways before and after RCN1 knockout. Results: RCN1 expression is elevated in patients with lymph node metastases and recurrent cervical cancer and correlates with poor prognosis. Knockdown and overexpression assays revealed that RCN1 promotes proliferation, migration and invasion of cervical cancer cells. RCN1 overexpression encourages metastasis in a mouse xenograft model. Furthermore, RCN1 targets KIF14, an activator of AKT, thus providing a molecular basis that could explain the malignant behavior of RCN1-expressing cervical cancer. Conclusion: RCN1 is significantly expressed in cervical cancer, which is associated with a poor prognosis, spread and recurrence. By promoting KIF14-induced activation of the PI3K-AKT-mTOR pathway, RCN1 may facilitate the malignant development of cervical cancer.

Indexed as

cervical cancerKIF14label-free mass spectrometryPI3K-AKT-mTOR pathwayRCN1

Identifiers

PMID40927771
PMCPMC12415097

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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.