Evidence map›Paper›PMID 32488994›Full record

ArticleCNS neuroscience & therapeutics2020

Effect of intra- and inter-tumoral heterogeneity on molecular characteristics of primary IDH-wild type glioblastoma revealed by single-cell analysis.

Zujian Xiong, Qi Yang, Xuejun Li

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Article
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  4. Materials today. Bio · 2024
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  6. [Dynamic trajectory and cell communication of different cell clusters in malignant progression of glioblastoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
    Article
  7. Brain tumour genetic network signatures of survival.Brain : a journal of neurology · 2023
    Article
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  10. Review
  11. Article
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  19. Multi-Omics Profiling of the Tumor Microenvironment.Advances in experimental medicine and biology · 2022
    Article
  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

3 authors.

Zujian XiongDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-2943-1931
Qi YangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Xuejun LiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo reveal the effects of intra- and inter-tumoral heterogeneity on characteristics of primary IDH-wild type glioblastoma cells.

methodsSingle-cell RNA-seq data were acquired from the GEO database, and bulk sample transcriptome data were downloaded from the TCGA database with clinical information. Neoplastic subtype and glioma stem-like cells (GSCs) were identified by matching 5000 random virtual samples based on ssGSEA. CNV was inferred to compare the heterogeneity among patients and subtypes by infercnv. Transition direction was inferred by RNA velocity, and lineage trajectory was inferred by monocle. Regulon network of cells was analyzed by SCENIC, and cell communication was identified by CellPhoneDB.

resultsGlioblastoma (GBM) cells could be divided into four subtypes by Verhaak classifier. However, classification of three subtypes (except NE subtype) was more suitable for GBM cells, and Verhaak classifier has difficulty in distinguishing GSCs. GBM heterogeneity and GBM cells' regulon network were mainly influenced by inter-tumoral heterogeneity. Within the same patient, different subclones exist in the same subtype of cells whose transition direction could be predicted by regulon similarity. Apart from inter-tumoral heterogeneity, different subtype of cells share common subtype-specific cell-cell communications.

conclusionsInter-tumoral heterogeneity contributes mainly to GBM heterogeneity and cell molecular characteristics. However, the same subtype of cells shared cell communication similarities.

Indexed as

Genetic HeterogeneityBrain NeoplasmsCell CommunicationDatabases, GeneticGlioblastomaHumansSequence Analysis, RNASingle-Cell Analysisprimary IDH-wild type glioblastomasingle-cell analysistumoral heterogeneity

Identifiers

PMID32488994
PMCPMC7415209

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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.