Evidence map›Paper›PMID 34636991›Full record

ArticleJournal of cancer research and clinical oncology2022

Phosphorylation of CAP1 regulates lung cancer proliferation, migration, and invasion.

Jie Zeng, Xuan Li, Long Liang, Hongxia Duan, Shuanshuan Xie, Changhui Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Jie ZengDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No.301, Mid Yanchang Rd, Shanghai, 200072, People's Republic of China.
Xuan LiDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No.301, Mid Yanchang Rd, Shanghai, 200072, People's Republic of China.
Long LiangDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No.301, Mid Yanchang Rd, Shanghai, 200072, People's Republic of China.
Hongxia DuanDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No.301, Mid Yanchang Rd, Shanghai, 200072, People's Republic of China.
Shuanshuan XieDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No.301, Mid Yanchang Rd, Shanghai, 200072, People's Republic of China. xieshuanshuan@aliyun.com.
Changhui WangDepartment of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No.301, Mid Yanchang Rd, Shanghai, 200072, People's Republic of China. wang-chang-hui@hotmail.com.ORCID http://orcid.org/0000-0001-6118-6126
Tongji University · CN

Funding

National Natural Science Foundation of China 81472180Shanghai Science and Technology Development Foundation 18410720900
6 · The paper itself

Abstract

purposeCyclase-associated protein 1 (CAP1) is a ubiquitous protein which regulates actin dynamics. Previous studies have shown that S308 and S310 are the two major phosphorylated sites in human CAP1. In the present study, we aimed to investigate the role of CAP1 phosphorylation in lung cancer.

methodsMassive bioinformatics analysis was applied to determine CAP1's role in different cancers and especially in lung cancer. Lung cancer patients' serum and tissue were collected and analyzed in consideration of clinical background. CAP1 shRNA-lentivirus and siRNA were applied to CAP1 gene knockdown, and plasmids were constructed for CAP1 phosphorylation and de-phosphorylation. Microarray analysis was used for CAP1-associated difference analysis. Both in vitro and in vivo experiments were performed to investigate the roles of CAP1 phosphorylation and de-phosphorylation in lung cancer A549 cells.

resultsCAP1 is a kind of cancer-related protein. Its mRNA was overexpressed in most types of cancer tissues when compared with normal tissues. CAP1 high expression correlated with poor prognosis. Our results showed that serum CAP1 protein concentrations were significantly upregulated in non-small cell lung cancer (NSCLC) patients when compared with the healthy control group, higher serum CAP1 protein concentration correlated with shorter overall survival (OS) in NSCLC patients, and higher pCAP1 and CAP1 protein level were observed in lung cancer patients' tumor tissue compared with adjacent normal tissue. Knockdown CAP1 in A549 cells can inhibit proliferation and migration, and the effect is validated in H1975 cells. It can also lead to an increase ratio of F-actin/G-actin. In addition, phosphorylated S308 and S310 in CAP1 promoted lung cancer cell proliferation, migration, and metastasis both in vitro and in vivo. When de-phosphorylated, these two sites in CAP1 showed the opposite effect. Phosphorylation of CAP1 can promote epithelial-mesenchymal transition (EMT).

conclusionThese findings indicated that CAP1 phosphorylation can promote lung cancer proliferation, migration, and invasion. Phosphorylation sites of CAP1 might be a novel target for lung cancer treatment.

Indexed as

A549 CellsAgedAnimalsCarcinoma, Non-Small-Cell LungCell Cycle ProteinsCell Line, TumorCell MovementCell ProliferationCytoskeletal ProteinsEpithelial-Mesenchymal TransitionFemaleHumansLung NeoplasmsMaleMiceMice, NudeCAP1 protein, humanCell Cycle ProteinsCytoskeletal ProteinsRNA, Small InterferingAdenylate cyclase-associated proteinEMTNSCLCPhosphorylation

Identifiers

PMID34636991
PMCPMC8752530
OpenAlexW3165585407

What OpenQuestion holds

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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.