Evidence map›Paper›PMID 32411775›Full record

ArticleAnnals of translational medicine2020

Analyzing the prognostic value of DKK1 expression in human cancers based on bioinformatics.

Ruqiong Wei, Raquel Alarcòn Rodrìguez, Marìa Del Mar Requena Mullor, Zhibiao Tan, Yuchang Gui, Jincui Hu, Tingpei Zhu, Xiaoxiao Huang, Yanyan Zhu, Jianwen Xu

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of translational medicine, 2020. 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
2.9field-weighted citation impact, top 7% 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, 30 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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 3 institutions in 2 countries.

Ruqiong WeiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Raquel Alarcòn RodrìguezFaculty of Health Sciences, University of Almerìa, Carretera de Sacramento s/n, 04120 Almeria, Spain.
Marìa Del Mar Requena MullorFaculty of Health Sciences, University of Almerìa, Carretera de Sacramento s/n, 04120 Almeria, Spain.
Zhibiao TanDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Yuchang GuiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Jincui HuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Tingpei ZhuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Xiaoxiao HuangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Yanyan ZhuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
Jianwen XuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CNUniversity of Almería · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Dickkopf1 (

methodsThe expression level was analyzed by using the Oncomine database and Gene Expression Profiling Interactive Analysis tool. The analysis of prognosis was conducted by using the UALCAN, Gene Expression Profiling Interactive Analysis (GEPIA), and DriverDBv3 databases. We also investigated using DKK1 promoter methylation to define cancer types through the UALCAN database. Meanwhile, the related functional networks of DKK1 were analyzed by using the GeneMANIA interactive tool and Cytoscape software. Furthermore, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis was conducted using the Metascape online website, and we used the cBioPotartal database to explored DKK1 expression, aberrant information, and the co-expression genes in the subgroups of lung cancer. Finally, we performed the overall survival (OS) meta-analysis of the DKK1 expression in lung squamous cell carcinoma (LUSC) via the Lung Cancer Explorer (LCE).

resultsDKK1 was differentially expressed in different types of human cancers. DKK1 was overexpressed in human cancers including head and neck squamous cell carcinoma (HNSC), LUSC, and pancreatic adenocarcinoma (PAAD). Overexpression of DKK1 indicated adverse OS in bladder urothelial carcinoma (BLCA), HNSC, and PADD, but no difference in OS was found between the LUSC and healthy groups. The high expression of DKK1 was also associated with shorter disease-free survival (DFS) in HNSC, LUSC, and PAAD. Gene regulation network analysis indicated that DKK1 was mainly involved in Wnt signaling pathways and several other signaling pathways.

conclusionsOur findings showed that DKK1 is significantly expressed in various cancers and could be a biomarker for targeted therapy and a predictor for prognosis of these specific cancers. The bioinformatics analysis revealed a significant overexpression of DKK1 in HNSC, LUSC, and PAAD, with DKK1 overexpression being associated with adverse outcome in these patients, but how DKK1 expression levels relate to hematological malignancies and prognosis is still unclear. These new insights into the function of DKK1 may provide a basis for new targeted drug therapy and an avenue for further investigation into the mechanisms underlying carcinogenesis of DKK1 in different cancer types.

Indexed as

biomarkercarcinogenesisDickkopf1 (DKK1)prognostic value

Identifiers

PMID32411775
PMCPMC7214893
OpenAlexW3018128680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.