Evidence map›Paper›PMID 34202449›Full record

ReviewCancers2021

A Systems Approach to Brain Tumor Treatment.

James H Park, Adrian Lopez Garcia de Lomana, Diego M Marzese, Tiffany Juarez, Abdullah Feroze, Parvinder Hothi, Charles Cobbs, Anoop P Patel, Santosh Kesari, Sui Huang and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.5field-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

25 citing papers in PubMed, 45 citations in OpenAlex.

  1. CRISPR-Based Gene Therapy for Brain Disease.Molecular neurobiology · 2026
    Review
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  7. Article
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  13. Liposomes for the Treatment of Brain Cancer-A Review.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
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  18. 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

11 authors at 6 institutions in 3 countries.

James H ParkInstitute for Systems Biology, Seattle, WA 98109, USA.
Adrian Lopez Garcia de LomanaCenter for Systems Biology, University of Iceland, 101 Reykjavik, Iceland.ORCID 0000-0002-9748-347X
Diego M MarzeseBalearic Islands Health Research Institute (IdISBa), 07010 Palma, Spain.
Tiffany JuarezSt. John's Cancer Institute, Santa Monica, CA 90401, USA.
Abdullah FerozeDepartment of Neurological Surgery, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-7761-6765
Parvinder HothiSwedish Neuroscience Institute, Seattle, WA 98122, USA.
Charles CobbsSwedish Neuroscience Institute, Seattle, WA 98122, USA.
Anoop P PatelDepartment of Neurological Surgery, University of Washington, Seattle, WA 98195, USA.
Santosh KesariSt. John's Cancer Institute, Santa Monica, CA 90401, USA.
Sui HuangInstitute for Systems Biology, Seattle, WA 98109, USA.
Nitin S BaligaInstitute for Systems Biology, Seattle, WA 98109, USA.
University of Washington · USInstitute for Systems Biology · USSaint John's Health Center · USSwedish Medical Center · USHealth Research Institute of the Balearic Islands · ESUniversity of Iceland · IS

Funding

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
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
National Science Foundation NSF1565166NCI NIH HHS F32 CA247445NCI NIH HHS F32CA247445-01NIH HHS R01AI141953
6 · The paper itself

Abstract

Brain tumors are among the most lethal tumors. Glioblastoma, the most frequent primary brain tumor in adults, has a median survival time of approximately 15 months after diagnosis or a five-year survival rate of 10%; the recurrence rate is nearly 90%. Unfortunately, this prognosis has not improved for several decades. The lack of progress in the treatment of brain tumors has been attributed to their high rate of primary therapy resistance. Challenges such as pronounced inter-patient variability, intratumoral heterogeneity, and drug delivery across the blood-brain barrier hinder progress. A comprehensive, multiscale understanding of the disease, from the molecular to the whole tumor level, is needed to address the intratumor heterogeneity resulting from the coexistence of a diversity of neoplastic and non-neoplastic cell types in the tumor tissue. By contrast, inter-patient variability must be addressed by subtyping brain tumors to stratify patients and identify the best-matched drug(s) and therapies for a particular patient or cohort of patients. Accomplishing these diverse tasks will require a new framework, one involving a systems perspective in assessing the immense complexity of brain tumors. This would in turn entail a shift in how clinical medicine interfaces with the rapidly advancing high-throughput (HTP) technologies that have enabled the omics-scale profiling of molecular features of brain tumors from the single-cell to the tissue level. However, several gaps must be closed before such a framework can fulfill the promise of precision and personalized medicine for brain tumors. Ultimately, the goal is to integrate seamlessly multiscale systems analyses of patient tumors and clinical medicine. Accomplishing this goal would facilitate the rational design of therapeutic strategies matched to the characteristics of patients and their tumors. Here, we discuss some of the technologies, methodologies, and computational tools that will facilitate the realization of this vision to practice.

Indexed as

brain metastasesglioblastomaintratumoral heterogeneityprecision medicinesystems biology

Identifiers

PMID34202449
PMCPMC8269017
OpenAlexW3173283276

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.