Evidence map›Paper›PMID 31092847›Full record

ArticleScientific reports2019

Relevance of a TCGA-derived Glioblastoma Subtype Gene-Classifier among Patient Populations.

Wan-Yee Teo, Karthik Sekar, Pratap Seshachalam, Jianhe Shen, Wing-Yuk Chow, Ching C Lau, HeeKyoung Yang, Junseong Park, Seok-Gu Kang, Xiaonan Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Artificial Intelligence-Driven Multi-Omics Approaches in Glioblastoma.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Glioblastoma Therapy: Past, Present and Future.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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

12 authors at 6 institutions in 3 countries.

Wan-Yee TeoHumphrey Oei Institute of Cancer Research, Department of Cellular & Molecular Research, National Cancer Center Singapore, Singapore, Singapore. wan-yee.teo@duke-nus.edu.sg.
Karthik SekarHumphrey Oei Institute of Cancer Research, Department of Cellular & Molecular Research, National Cancer Center Singapore, Singapore, Singapore.
Pratap SeshachalamHumphrey Oei Institute of Cancer Research, Department of Cellular & Molecular Research, National Cancer Center Singapore, Singapore, Singapore.
Jianhe ShenDepartment of Pediatrics, Division of Hematology-Oncology, Texas Children's Cancer Center, Houston, Texas, USA.
Wing-Yuk ChowDepartment of Pediatrics, Division of Hematology-Oncology, Texas Children's Cancer Center, Houston, Texas, USA.
Ching C LauDepartment of Pediatrics, Division of Hematology-Oncology, Texas Children's Cancer Center, Houston, Texas, USA.
HeeKyoung YangDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Junseong ParkDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-0436-8614
Seok-Gu KangDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Xiaonan LiDepartment of Pediatrics, Division of Hematology-Oncology, Texas Children's Cancer Center, Houston, Texas, USA.
Do-Hyun NamDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kam M HuiHumphrey Oei Institute of Cancer Research, Department of Cellular & Molecular Research, National Cancer Center Singapore, Singapore, Singapore.
Baylor College of Medicine · USSamsung Medical Center · KRSingHealth Duke-NUS Academic Medical Centre · SGYonsei University · KRNational University of Singapore · SGNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma multiforme (GBM), a deadly cancer, is the most lethal and common malignant brain tumor, and the leading cause of death in adult brain tumors. While genomic data continues to rocket, clinical application and translation to patient care are lagging behind. Big data now deposited in the TCGA network offers a window to generate novel clinical hypotheses. We hypothesized that a TCGA-derived gene-classifier can be applied across different gene profiling platforms and population groups. This gene-classifier validated three robust GBM-subtypes across six different platforms, among Caucasian, Korean and Chinese populations: Three Caucasian-predominant TCGA-cohorts (Affymetrix U133A = 548, Agilent Custom-Array = 588, RNA-seq = 168), and three Asian-cohorts (Affymetrix Human Gene 1.0ST-Array = 61, Illumina = 52, Agilent 4 × 44 K = 60). To understand subtype-relevance in patient therapy, we investigated retrospective TCGA patient clinical sets. Subtype-specific patient survival outcome was similarly poor and reflected the net result of a mixture of treatment regimens with/without surgical resection. As a proof-of-concept, in subtype-specific patient-derived orthotopic xenograft (PDOX) mice, Classical-subtype demonstrated no survival difference comparing radiation-therapy versus temozolomide monotherapies. Though preliminary, a PDOX model of Proneural/Neural-subtype demonstrated significantly improved survival with temozolomide compared to radiation-therapy. A larger scale study using this gene-classifier may be useful in clinical outcome prediction and patient selection for trials based on subtyping.

Indexed as

AdultAgedAsian PeopleBiomarkers, TumorBrain NeoplasmsChinaDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenomicsGlioblastomaHumansMaleMiddle AgedBiomarkers, Tumor

Identifiers

PMID31092847
PMCPMC6520485
OpenAlexW2946453728

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.