Evidence map›Paper›PMID 37465344›Full record

ArticleJournal of inflammation research2023

Pan-Cancer Analysis Reveals CENPI as a Potential Biomarker and Therapeutic Target in Adrenocortical Carcinoma.

Feima Wu, Guangchao Li, Huijuan Shen, Jing Huang, Zhi Liu, Yangmin Zhu, Qi Zhong, Ruiming Ou, Qing Zhang, Shuang Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 8 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

10 authors at 1 institution in 1 country.

Feima WuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Guangchao LiDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Huijuan ShenDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Jing HuangDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Zhi LiuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Yangmin ZhuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Qi ZhongDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Ruiming OuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Qing ZhangDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.
Shuang LiuDepartment of Hematology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0002-0541-0696
Guangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Centromere protein I (CENPI) has been shown to affect the tumorigenesis of breast and colorectal cancers. However, its biological role and prognostic value in other kinds of cancer, especially adrenocortical carcinoma (ACC), remained to be further investigated. Methods: Various bioinformatics tools were adopted for exploring the significance of differential expression of CENPI in several malignant tumors from databases such as Depmap portal, GTEx, and TCGA. ACC was selected for further analyzed, and information such as clinicopathological features, the prognostic outcome of diverse subgroups, differentially expressed genes (DEGs), co-expression genes, as well as levels of tumor-infiltrating immune cells (TIIC), was extracted from multiple databases. To verify the possibility of CENPI as a therapeutic target in ACC, drug sensitivity assay and si-RNA mediate knockdown of CENPI were carried out. Results: The pan-cancer analyses showed that the CENPI mRNA expression levels differed significantly among most cancer types. Additionally, a high precision in cancer prediction and close relation with cancer survival indicated that CENPI could be a potential candidate biomarker to diagnose and predict cancer prognosis. In ACC, CENPI was closely related to multiple clinical characteristics, such as pathological stage and primary therapy outcome. High CENPI levels predicted poor overall survival (OS), progression-free interval (PFI), and disease-specific survival (DSS) of ACC patients, particularly for different clinical subgroups. Moreover, the expression of CENPI showed positive relationship to Th2 cells but negatively related to most of the TIICs. Furthermore, drug sensitivity assay showed that vorinostat inhibit CENPI expression and ACC cell growth. Additionally, si-RNA mediated knockdown of CENPI inhibited ACC cell growth and invasion and showed synergistic anti-proliferation effect with AURKB inhibitor barasertib. Conclusion: Pan-cancer analysis demonstrated that CENPI is a potential diagnostic and prognostic biomarker in various cancers as well as an anti-ACC therapeutic target.

Indexed as

adrenocortical carcinomaCENPIdiagnosispan-cancer analysisprognostic biomarker

Identifiers

PMID37465344
PMCPMC10350421
OpenAlexW4383879250

What OpenQuestion holds

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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.