Evidence map›Paper›PMID 32621641›Full record

ArticleGlia2020

Multimodal single-cell analysis reveals distinct radioresistant stem-like and progenitor cell populations in murine glioma.

Jes Alexander, Quincey C LaPlant, Siobhan S Pattwell, Frank Szulzewsky, Patrick J Cimino, Francesca P Caruso, Pietro Pugliese, Zhihong Chen, Florence Chardon, Andrew J Hill and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Glia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  6. OLIG2 Is a Determinant for the Relapse of MYC-Amplified Medulloblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
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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

18 authors at 9 institutions in 3 countries.

Jes AlexanderDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Quincey C LaPlantDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Siobhan S PattwellHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0003-4434-3139
Frank SzulzewskyHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0001-5710-9590
Patrick J CiminoHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0003-0441-4502
Francesca P CarusoDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Benevento, Italy.ORCID 0000-0002-2206-1459
Pietro PuglieseDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Benevento, Italy.
Zhihong ChenDepartment of Oncological Sciences, Tisch Cancer Institute, and Department of Neurosurgery, Mount Sinai Icahn School of Medicine, New York, New York, USA.ORCID 0000-0001-7403-7015
Florence ChardonDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Andrew J HillDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Cailyn SpurrellBrotman Baty Institute for Precision Medicine, Seattle, Washington, USA.ORCID 0000-0003-0681-3697
Dakota AhrendsenBrotman Baty Institute for Precision Medicine, Seattle, Washington, USA.
Alexander PietrasDivision of Translational Cancer Research, Lund University, Lund, Sweden.ORCID 0000-0002-5783-9347
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Dolores HambardzumyanDepartment of Oncological Sciences, Tisch Cancer Institute, and Department of Neurosurgery, Mount Sinai Icahn School of Medicine, New York, New York, USA.
Antonio IavaroneInstitute for Cancer Genetics, Department of Neurology, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York, USA.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-1516-1865
Eric C HollandHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.ORCID 0000-0002-3792-7120
Fred Hutch Cancer Center · USUniversity of Washington · USBrotman Baty Institute · USTisch Hospital · USUniversity of Sannio · ITColumbia University Irving Medical Center · USHoward Hughes Medical Institute · USLund University · SEMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Interpreting Genetic Variants of Uncertain SignificanceDP1HG007811 · NHGRI · UNIVERSITY OF WASHINGTON · PI SHENDURE, JAY ASHOK · 2013 to 2017
$3.8M
Critical role for a TrkB splice variant in oncogenic signalingR21CA223531 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HOLLAND, ERIC C. · 2018 to 2019
$415k
NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA223531NHGRI NIH HHS DP1 HG007811NHGRI NIH HHS T32 HG000035
6 · The paper itself

Abstract

Radiation therapy is part of the standard of care for gliomas and kills a subset of tumor cells, while also altering the tumor microenvironment. Tumor cells with stem-like properties preferentially survive radiation and give rise to glioma recurrence. Various techniques for enriching and quantifying cells with stem-like properties have been used, including the fluorescence activated cell sorting (FACS)-based side population (SP) assay, which is a functional assay that enriches for stem-like tumor cells. In these analyses, mouse models of glioma have been used to understand the biology of this disease and therapeutic responses, including the radiation response. We present combined SP analysis and single-cell RNA sequencing of genetically-engineered mouse models of glioma to show a time course of cellular response to radiation. We identify and characterize two distinct tumor cell populations that are inherently radioresistant and also distinct effects of radiation on immune cell populations within the tumor microenvironment.

Indexed as

Brain NeoplasmsGliomaStem CellsAnimalsMiceNeoplastic Stem CellsSingle-Cell AnalysisTumor Microenvironmentgliomaglioma stem cellsmyeloid cellsradiation responseradioresistancesingle-cell RNA sequencingSP analysis

Identifiers

PMID32621641
PMCPMC7586969
OpenAlexW3039251810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.