Evidence map›Paper›PMID 36539849›Full record

ArticleEuropean journal of medical research2022

High expression of GMNN predicts malignant progression and poor prognosis in ACC.

Xinzhao Zhao, Xuezhou Zhang, Shixiu Shao, Qingbo Yang, Chengquan Shen, Xuecheng Yang, Wei Jiao, Jing Liu, Yonghua Wang

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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 at 2 institutions in 1 country.

Xinzhao Zhao *Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xuezhou Zhang *Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shixiu ShaoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingbo YangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Chengquan ShenDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xuecheng YangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Wei JiaoDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Jing LiuDepartment of Research Management and International Cooperation, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. drliujing8712@126.com.
Yonghua WangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. wangyonghua@qdu.edu.cn.
Affiliated Hospital of Qingdao University · CNQingdao University · CN

Funding

National Natural Science Foundation of China 81972378,81101932
6 · The paper itself

Abstract

backgroundAdrenocortical carcinoma (ACC) is a rare endocrine neoplasm, which is characterized by poor prognosis and high recurrence rate. Novel and reliable prognostic and metastatic biomarkers are lacking for ACC patients. This study aims at screening potential prognostic biomarkers and therapeutic targets of ACC through bioinformatic methods and immunohistochemical (IHC) analysis.

methodsIn the present study, by using the Gene Expression Omnibus (GEO) database we identified differentially expressed genes (DEGs) in ACC and validated these DEGs in The Cancer Genome Atlas (TCGA) ACC cohort. A DEGs-based signature was additionally constructed and we assessed its prognosis and prescient worth for ACC by survival analysis and nomogram. Immunohistochemistry (IHC) was used to verify the relationship between hub gene-GMNN expressions and clinicopathologic outcomes in ACC patients.

resultsA total of 24 DEGs correlated with the prognosis of ACC were screened from the TCGA and GEO databases. Five DEGs were subsequently selected in a signature which was closely related to the survival rates of ACC patients and GMNN was identified as the core gene in this signature. Univariate and multivariate Cox regression showed that the GMNN was an independent prognostic factor for ACC patients (P < 0.05). Meanwhile, GMNN was closely related to the OS and PFI of ACC patients treated with mitotane (P < 0.001). IHC confirmed that GMNN protein was overexpressed in ACC tissues compared with normal adrenal tissues and significantly correlated with stage (P = 0.011), metastasis (P = 0.028) and Ki-67 index (P = 0.014).

conclusionsGMNN is a novel tumor marker for predicting the malignant progression, metastasis and prognosis of ACC, and may be a potential therapeutic target for ACC.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaBiomarkers, TumorGemininHumansPrognosisSurvival AnalysisBiomarkers, TumorGemininGMNN protein, humanAdrenocortical carcinomaGMNNPrognosisSignatureTCGA

Identifiers

PMID36539849
PMCPMC9764478
OpenAlexW4312113384

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.