Evidence map›Paper›PMID 31278532›Full record

ArticleInternational journal of clinical oncology2019

CDC20 and its downstream genes: potential prognosis factors of osteosarcoma.

Man-Si Wu, Qing-Yu Ma, Dong-Dong Liu, Xiao-Juan Li, Li-Juan Deng, Nan Li, Jingnan Shen, Zhiqiang Zhao, Jia-Xu Chen

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  6. Article
  7. CDC20: a novel therapeutic target in cancer.American journal of translational research · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Connection Between CDC20 Expression and Hepatocellular Carcinoma Prognosis.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  13. Article
  14. Article
  15. 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.

Man-Si WuFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Qing-Yu MaFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Dong-Dong LiuFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Xiao-Juan LiFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Li-Juan DengFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Nan LiFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China.
Jingnan ShenDepartment of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Zhiqiang ZhaoDepartment of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. zhiq811@163.com.
Jia-Xu ChenFormula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China. chenjx@jnu.edu.cn.
Jinan University · CNSun Yat-sen University · CN

Funding

Medical Science and Technology Foundation of Guangdong Province A2018543National Natural Science Foundation of China 81602356National Natural Science Foundation of China 81702943
6 · The paper itself

Abstract

backgroundWe investigated the microarray data GSE42352 to identify genes that can be used as prognosis factors in osteosarcoma.

methodsGene Ontology (GO) biological process analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of Cytoscape ClueGo were used in verifying the function of different genes. Realtime-PCR were used to confirm the microarray results. 83 patient samples were collected and underwent Kaplan-Meier survival analysis and multivariate analysis to predict the prospect of genes using as prognosis factors.

resultsAfter analyzing the microarray data GSE42352, mitosis metaphase to anaphase-related genes CDC20, securin, cyclin A2 and cyclin B2 were found to be overexpressed in osteosarcoma cell lines. Kaplan-Meier survival analysis showed that overexpression of these genes can predict poor prognosis outcomes in osteosarcoma patients. Furthermore, any combination of the four genes seems to be more effective in predicting osteosarcoma outcomes than any of these genes alone.

conclusionsCDC20 and its downstream substracts securin, cyclin A2 and cyclin B2 are good factors that can predict prognosis outcomes in osteosarcoma. Any two combination of these four genes are more effective to be used as osteosarcoma prognosis factors.

Indexed as

AdolescentAdultAgedBiomarkers, TumorBone NeoplasmsCdc20 ProteinsCell Line, TumorChildCyclin A2Cyclin B2Databases, GeneticFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleBiomarkers, TumorCCNA2 protein, humanCCNB2 protein, humanCDC20 protein, humanCdc20 ProteinsCyclin A2Cyclin B2pituitary tumor-transforming protein 1, humanSecurinCDC20Cell cycleOsteosarcomaPrognosis

Identifiers

PMID31278532
OpenAlexW2954451431

What OpenQuestion holds

Textmetadata
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.