Evidence map›Paper›PMID 31487431›Full record

ArticleMolecular oncology2019

Single-cell RNA-seq reveals the invasive trajectory and molecular cascades underlying glioblastoma progression.

Bo Pang, Jinyuan Xu, Jing Hu, Fenghua Guo, Linyun Wan, Mingjiang Cheng, Lin Pang

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 45 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Bo PangCollege of Bioinformatics Science and Technology, Harbin Medical University, China.
Jinyuan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, China.
Jing HuCollege of Bioinformatics Science and Technology, Harbin Medical University, China.
Fenghua GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, China.
Linyun WanCollege of Bioinformatics Science and Technology, Harbin Medical University, China.
Mingjiang ChengCollege of Bioinformatics Science and Technology, Harbin Medical University, China.
Lin PangCollege of Bioinformatics Science and Technology, Harbin Medical University, China.ORCID 0000-0002-7171-6386
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most common and aggressive primary brain tumor, in which GBM stem cells (GSCs) were identified to contribute to aggressive phenotypes and poor prognosis. Yet, how GSCs progress to invasive cells remains largely unexplored. Here, we revealed the cell subpopulations with distinct functional status and the existence of cells with high invasive potential within heterogeneous primary GBM tumors. We reconstructed a branched trajectory by pseudotemporal ordering of single tumor cells, in which the root showed GSC-like phenotype while the end displayed high invasive activity. Thus, we further determined a path along which GSCs gradually transformed to invasive cells, called the 'stem-to-invasion path'. Along this path, cells showed incremental expression of GBM invasion-associated signatures and diminishing expression of GBM stem cell markers. These findings were validated in an independent single-cell data set of GBM. Through analyzing the molecular cascades underlying the path, we identify crucial factors controlling the attainment of invasive potential of tumor cells, including transcription factors and long noncoding RNAs. Our work provides novel insights into GBM progression, especially the attainment of invasive potential in primary tumor cells, and supports the cancer stem cell model, with valuable implications for GBM therapy.

Indexed as

Biomarkers, TumorGlioblastomaNeoplastic Stem CellsRNA-SeqSingle-Cell AnalysisDisease ProgressionHumansNeoplasm InvasivenessBiomarkers, Tumorglioblastomaglioblastoma stem cellsinvasionsingle-cell RNA sequencingstem-to-invasion path

Identifiers

PMID31487431
PMCPMC6887585
OpenAlexW2972280747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.