Evidence map›Paper›PMID 32911104›Full record

ArticleActa biomaterialia2020

A comparative study of brain tumor cells from different age and anatomical locations using 3D biomimetic hydrogels.

Christine Wang, Sauradeep Sinha, Xinyi Jiang, Sergio Fitch, Christy Wilson, Viola Caretti, Anitha Ponnuswami, Michelle Monje, Gerald Grant, Fan Yang

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. 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

10 authors at 2 institutions in 1 country.

Christine WangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Sauradeep SinhaDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Xinyi JiangDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Sergio FitchDepartment of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Christy WilsonDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Viola CarettiDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Anitha PonnuswamiDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Michelle MonjeDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Gerald GrantDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Fan YangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: fanyang@stanford.edu.
Stanford University · USStanford Medicine · US

Funding

Graduate Training Program in BiotechnologyT32GM008412 · NIGMS · STANFORD UNIVERSITY · PI COCHRAN, JENNIFER R · 1991 to 2020
$5.5M
Microribbon scaffold-mediated Immunomodulation for Cranial Bone RepairR01DE024772 · NIDCR · STANFORD UNIVERSITY · PI YANG, FAN · 2015 to 2025
$4.6M
Sliding hydrogels for accelerating cartilage regenerationR01AR074502 · NIAMS · STANFORD UNIVERSITY · PI YANG, FAN · 2019 to 2023
$2.2M
Graduate Training Program in BiotechnologyT32GM141819 · NIGMS · STANFORD UNIVERSITY · PI Eric Andrew Appel, Fan Yang · 2021 to 2026
$1.9M
NIAMS NIH HHS R01 AR074502NIDCR NIH HHS R01 DE024772NIGMS NIH HHS T32 GM008412NIGMS NIH HHS T32 GM141819
6 · The paper itself

Abstract

Brain tumors exhibit vast genotypic and phenotypic diversity depending on patient age and anatomical location. Hydrogels hold great promise as 3D in vitro models for studying brain tumor biology and drug screening, yet previous studies were limited to adult glioblastoma cells, and most studies used immortalized cell lines. Here we report a hydrogel platform that supports the proliferation and invasion of patient-derived brain tumor cell cultures (PDCs) isolated from different patient age groups and anatomical locations. Hydrogel stiffness was tuned by varying poly(ethylene-glycol) concentration. Cell adhesive peptide (CGRDS), hyaluronic acid, and MMP-cleavable crosslinkers were incorporated to facilitate cell adhesion and cell-mediated degradation. Three PDC lines were compared including adult glioblastoma cells (aGBM), pediatric glioblastoma cells (pGBM), and diffuse pontine intrinsic glioma (DIPG). A commonly used immortalized adult glioblastoma cell line U87 was included as a control. PDCs displayed stiffness-dependent behavior, with 40 Pa hydrogel promoting faster tumor proliferation and invasion. Adult GBM cells exhibited faster proliferation than pediatric GBM, and DIPG showed slowest proliferation. These results suggest both patient age and tumor location affects brain tumor behaviors. Adult GBM PDCs also exhibited very different cell proliferation and morphology from U87. The hydrogel reported here can provide a useful tool for future studies to better understand how age and anatomical locations impacts brain tumor progression using 3D in vitro models.

Indexed as

Brain NeoplasmsGlioblastomaBiomimeticsCell Line, TumorChildHumansHydrogelsHydrogelsDiffuse intrinsic pontine gliomaGlioblastomaHydrogelsIn vitro 3D cancer modelsPatient-derived brain tumor cell cultures

Identifiers

PMID32911104
PMCPMC8843955
OpenAlexW3083691894

What OpenQuestion holds

Textmetadata
LicenceTDM
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.