Evidence map›Paper›PMID 30888548›Full record

ArticleCurrent topics in microbiology and immunology2021

Cancer Explant Models.

Christian T Stackhouse, George Yancey Gillespie, Christopher D Willey

Abstract read
In one paragraph

Article in Current topics in microbiology and immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

3 authors.

Christian T StackhouseDepartment of Radiation Oncology, Department of Neurosurgery, University of Alabama, Birmingham, USA.
George Yancey GillespieDepartment of Neurosurgery, University of Alabama, Birmingham, USA.
Christopher D WilleyDepartment of Radiation Oncology, University of Alabama, Birmingham, USA. cwilley@uabmc.edu.

Funding

GBM Avatar Screening Paradigm for Rational Pharmacokinomic Glioma TherapyR21CA252382 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WILLEY, CHRISTOPHER D · 2020 to 2020
$381k
NCI NIH HHS R21 CA252382
6 · The paper itself

Abstract

Overcoming the challenges of understanding and treating cancer requires reliable patient-derived models of cancer (PDMCs). For decades, cancer research and therapeutic development relied primarily on cancer cell lines because of their prevalence, reproducibility, and simplicity to maintain. However, findings from research conducted in cell lines are rarely recapitulated in vivo and seldom directly translatable to patients. The tumor microenvironment (TME), tumor-stromal interactions, and associations with host immune cells produce profound changes in tumor phenotype and complexity not captured in traditional monolayer cell culture. In this chapter, we present various cancer explant models and discuss their applicability based on specific research aims. We discuss the appropriateness of these models for basic science questions, drug screening/development, and for personalized, precision medicine. We also consider logistical factors such as resource cost, technical difficulty, and accessibility. We finish this chapter with a practical guide intended to help the reader select the cancer explant model system(s) that best address their research aims.

Indexed as

NeoplasmsTumor MicroenvironmentCell Culture TechniquesHumansPrecision MedicineReproducibility of Results

Identifiers

PMID30888548
PMCPMC8259005

What OpenQuestion holds

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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.