Evidence map›Paper›PMID 35941215›Full record

ArticleNPJ precision oncology2022

A single-cell based precision medicine approach using glioblastoma patient-specific models.

James H Park, Abdullah H Feroze, Samuel N Emerson, Anca B Mihalas, C Dirk Keene, Patrick J Cimino, Adrian Lopez Garcia de Lomana, Kavya Kannan, Wei-Ju Wu, Serdar Turkarslan and 2 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Asian journal of pharmaceutical sciences · 2026
    Article
  3. Article
  4. Role of scaffold proteins in the heterogeneity of glioblastoma.Cell communication and signaling : CCS · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
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.

James H Park *Institute for Systems Biology, Seattle, WA, USA.
Abdullah H Feroze *Department of Neurological Surgery, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7761-6765
Samuel N Emerson *Department of Neurological Surgery, University of Washington, Seattle, WA, USA.
Anca B MihalasDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
C Dirk KeeneDepartment of Pathology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-5291-1469
Patrick J CiminoDepartment of Pathology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0441-4502
Adrian Lopez Garcia de LomanaCenter for Systems Biology, University of Iceland, Reykjavik, Iceland.
Kavya KannanInstitute for Systems Biology, Seattle, WA, USA.
Wei-Ju WuInstitute for Systems Biology, Seattle, WA, USA.
Serdar TurkarslanInstitute for Systems Biology, Seattle, WA, USA.
Nitin S BaligaInstitute for Systems Biology, Seattle, WA, USA. nitin.baliga@isbscience.org.ORCID http://orcid.org/0000-0001-9157-5974
Anoop P PatelDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA. Anoop.patel@duke.edu.ORCID http://orcid.org/0000-0001-7078-9535

Funding

University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI Caitlin Shannon Latimer · 2020 to 2026
$29.0M
Site Specific Immunophenotyping Assays of COVID19 Patients to Align with NIAID National StudyR01AI141953 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2019 to 2023
$5.7M
Defining cellular states of quiescence in human brain tumorsR01NS119650 · NINDS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PADDISON, PATRICK · 2021 to 2025
$2.6M
Neurosurgery research training in interdisciplinary neuroscienceR25NS079200 · NINDS · UNIVERSITY OF WASHINGTON · PI OJEMANN, JEFFREY G · 2012 to 2021
$1.2M
A systems approach to understanding overall drug response in a heterogeneous tumor-cell populationF32CA247445 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI PARK, JAMES HYUN-WOO · 2020 to 2022
$212k
NCI NIH HHS F32 CA247445NIAID NIH HHS R01 AI141953NIA NIH HHS P30 AG066509NINDS NIH HHS R01 NS119650NINDS NIH HHS R25 NS079200
6 · The paper itself

Abstract

Glioblastoma (GBM) is a heterogeneous tumor made up of cell states that evolve over time. Here, we modeled tumor evolutionary trajectories during standard-of-care treatment using multi-omic single-cell analysis of a primary tumor sample, corresponding mouse xenografts subjected to standard of care therapy, and recurrent tumor at autopsy. We mined the multi-omic data with single-cell SYstems Genetics Network AnaLysis (scSYGNAL) to identify a network of 52 regulators that mediate treatment-induced shifts in xenograft tumor-cell states that were also reflected in recurrence. By integrating scSYGNAL-derived regulatory network information with transcription factor accessibility deviations derived from single-cell ATAC-seq data, we developed consensus networks that modulate cell state transitions across subpopulations of primary and recurrent tumor cells. Finally, by matching targeted therapies to active regulatory networks underlying tumor evolutionary trajectories, we provide a framework for applying single-cell-based precision medicine approaches to an individual patient in a concurrent, adjuvant, or recurrent setting.

Identifiers

PMID35941215
PMCPMC9360428

What OpenQuestion holds

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Registered trials

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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.