Evidence map›Paper›PMID 35599254›Full record

ArticleCancer immunology, immunotherapy : CII2022

High DKK3 expression related to immunosuppression was associated with poor prognosis in glioblastoma: machine learning approach.

Myung-Hoon Han, Kyueng-Whan Min, Yung-Kyun Noh, Jae Min Kim, Jin Hwan Cheong, Je Il Ryu, Yu Deok Won, Seong-Ho Koh, Jae Kyung Myung, Ji Young Park and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. A Synopsis of Biomarkers in Glioblastoma: Past and Present.Current issues in molecular biology · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

11 authors at 5 institutions in 1 country.

Myung-Hoon HanDepartment of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
Kyueng-Whan MinDepartment of Pathology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea. kyueng@hanyang.ac.kr.ORCID http://orcid.org/0000-0002-4757-9211
Yung-Kyun NohDepartment of Computer Science, Hanyang University, Seoul, Republic of Korea. nohyung@hanyang.ac.kr.
Jae Min KimDepartment of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
Jin Hwan CheongDepartment of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
Je Il RyuDepartment of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
Yu Deok WonDepartment of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
Seong-Ho KohDepartment of Neurology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Gyeonggi-do, Republic of Korea.
Jae Kyung MyungDepartment of Pathology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea.
Ji Young ParkDivision of Cardiology, Department of Internal Medicine, Nowon Eulji Medical Center, Eulji University, Seoul, Republic of Korea.
Mi Jung KwonDepartment of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do, Republic of Korea.
Hanyang University Guri Hospital · KREulji University · KRHallym University Sacred Heart Hospital · KRHanyang University Seoul Hospital · KRKorea Institute for Advanced Study · KR

Funding

IITP/MSIT Artifcial Intelligence Graduate School Program for Hanyang University 2020-0-01373NRF/MSIT Artifcial Intelligence Graduate School Program for Hanyang University 2018R1A5A7059549NRF/MSIT Artifcial Intelligence Graduate School Program for Hanyang University 2021M3E5D2A01019545
6 · The paper itself

Abstract

backgroundGlioblastoma multiforme (GBM) is an aggressive malignant primary brain tumor. Wnt/β-catenin is known to be related to GBM stemness. Cancer stem cells induce immunosuppressive and treatment resistance in GBM. We hypothesized that Wnt/β-catenin-related genes with immunosuppression could be related to the prognosis in patients with GBM.

methodsWe obtained the clinicopathological data of 525 patients with GBM from the brain cancer gene database. The fraction of tumor-infiltrating immune cells was evaluated using in silico flow cytometry. Among gene sets of Wnt/β-catenin pathway, Dickkopf-3 (DKK3) gene related to the immunosuppressive response was found using machine learning. We performed gene set enrichment analysis (GSEA), network-based analysis, survival analysis and in vitro drug screening assays based on Dickkopf-3 (DKK3) expression.

resultsIn analyses of 31 genes related to Wnt/β-catenin signaling, high DKK3 expression was negatively correlated with increased antitumoral immunity, especially CD8 + and CD4 + T cells, in patients with GBM. High DKK3 expression was correlated with poor survival and disease progression in patients with GBM. In pathway-based network analysis, DKK3 was directly linked to the THY1 gene, a tumor suppressor gene. Through in vitro drug screening, we identified navitoclax as an agent with potent activity against GBM cell lines with high DKK3 expression.

conclusionsThese results suggest that high DKK3 expression could be a therapeutic target in GBM. The results of the present study could contribute to the design of future experimental research and drug development programs for GBM.

Indexed as

Brain NeoplasmsGlioblastomaAdaptor Proteins, Signal Transducingbeta CateninCell Line, TumorCell ProliferationHumansImmunosuppression TherapyIntercellular Signaling Peptides and ProteinsMachine LearningPrognosisAdaptor Proteins, Signal Transducingbeta CateninDKK3 protein, humanIntercellular Signaling Peptides and ProteinsDickkopf-3GeneGlioblastoma multiformeSurvivalWnt/β-catenin signaling

Identifiers

PMID35599254
PMCPMC9588473
OpenAlexW4281289478

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.