Evidence map›Paper›PMID 34991628›Full record

ArticleJournal of translational medicine2022

Identification of COPA as a potential prognostic biomarker and pharmacological intervention target of cervical cancer by quantitative proteomics and experimental verification.

Huiqiong Bao, Xiaobin Li, Zhixing Cao, Zhihong Huang, Li Chen, Mingbing Wang, Jiali Hu, Wenting Li, Hongwei Sun, Xue Jiang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024
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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

14 authors at 3 institutions in 1 country.

Huiqiong Bao *The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China.
Xiaobin Li *Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
Zhixing Cao *Department of Pathology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
Zhihong HuangDepartment of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Li ChenZhuhai Center for Maternal and Child Health Care, Zhuhai Women and Childen's Hospital, Zhuhai, China.
Mingbing WangThe Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China.
Jiali HuZhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
Wenting LiZhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
Hongwei SunZhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
Xue JiangDepartment of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
Ping MeiDepartment of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Huawen LiDepartment of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China. doctorli1000@163.com.
Ligong LuThe Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China. luligong1969@jnu.edu.cn.ORCID 0000-0003-1405-0052
Meixiao ZhanZhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China. zhanmeixiao1987@126.com.
Jinan University · CNGuangdong Academy of Medical Sciences · CNWeihai Maternal and Child Health Hospital · CN

Funding

National Natural Science Foundation of China 81901857National Natural Science Foundation of China 82002170Science and Technology Planning Project of Guangzhou, Guangdong Province, China 201904010026State Key Development Program for Basic Research of China 2017YFA0205200
6 · The paper itself

Abstract

backgroundCervical cancer is the most fatal gynecological carcinoma in the world. It is urgent to explore novel prognostic biomarkers and intervention targets for cervical cancer.

methodsThrough integrated quantitative proteomic strategy, we investigated the protein expression profiles of cervical cancer; 28 fresh frozen tissue samples (11 adenocarcinoma (AC), 12 squamous cell carcinoma (SCC) and 5 normal cervixes (HC)) were included in discover cohort; 45 fresh frozen tissue samples (19 AC, 18 SCC and 8 HC) were included in verification cohort; 140 paraffin-embedded tissues samples of cervical cancer (85 AC and 55 SCC) were used for immunohistochemical evaluation (IHC) of coatomer protein subunit alpha (COPA) as a prognostic biomarker for cervical cancer; how deficiency of COPA affects cell viability and tumorigenic ability of cervical cancer cells (SiHa cells and HeLa cells) were evaluated by cell counting kit-8 and clone formation in vitro.

resultsWe identified COPA is a potential prognostic biomarker for cervical cancer in quantitative proteomics analysis. By retrospective IHC analysis, we additionally verified the proteomics results and demonstrated moderate or strong IHC staining for COPA is an unfavourable independent prognostic factor for cervical cancer. We also identified COPA is a potential pharmacological intervention target of cervical cancer by a series of in vitro experiments.

conclusionThis study is the first to demonstrate that COPA may contribute to progression of cervical cancer. It can serve as a potential prognostic biomarker and promising intervention target for cervical cancer.

Indexed as

Coatomer ProteinUterine Cervical NeoplasmsBiomarkersBiomarkers, TumorFemaleHeLa CellsHumansPrognosisProteomicsRetrospective StudiesBiomarkersBiomarkers, TumorCoatomer ProteinCervical cancerCoatomer protein subunit alphaImmunohistochemistryProteomicsTumor mechanism

Identifiers

PMID34991628
PMCPMC8740354
OpenAlexW4205944829

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.