Evidence map›Paper›PMID 33571801›Full record

ArticleCancer treatment and research communications2021

The impact of initial tumor microenvironment on imaging phenotype.

Tavarekere N Nagaraja, Ana C deCarvalho, Stephen L Brown, Brent Griffith, Katelynn Farmer, Susan Irtenkauf, Laura Hasselbach, Abir Mukherjee, Seamus Bartlett, O Grahm Valadie and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer treatment and research communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

15 authors at 2 institutions in 1 country.

Tavarekere N NagarajaDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI. Electronic address: tnagara1@hfhs.org.
Ana C deCarvalhoDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI.
Stephen L BrownDepartment of Radiation Oncology, Henry Ford Hospital, Detroit, MI, United States; Department of Public Health, Henry Ford Hospital, Detroit, MI, United States.
Brent GriffithDepartment of Radiology, Henry Ford Hospital, Detroit, MI, United States.
Katelynn FarmerDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, United States.
Susan IrtenkaufDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI.
Laura HasselbachDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI.
Abir MukherjeeDepartment of Pathology, Henry Ford Hospital, Detroit, MI, United States.
Seamus BartlettDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI; School of Medicine, Wayne State University, Detroit, MI, United States.
O Grahm ValadieDepartment of Radiation Oncology, Wayne State University, Detroit, MI, United States.
Glauber CabralDepartment of Neurology, Henry Ford Hospital, Detroit, MI, United States.
Robert A KnightDepartment of Neurology, Henry Ford Hospital, Detroit, MI, United States; Department of Physics, Oakland University, Rochester, MI, United States.
Ian Y LeeDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI.
George W DivineDepartment of Public Health, Henry Ford Hospital, Detroit, MI, United States.
James R EwingDepartment of Neurosurgery, Henry Ford Hospital, Detroit, MI; Department of Neurology, Henry Ford Hospital, Detroit, MI, United States; Department of Physics, Oakland University, Rochester, MI, United States; Department of Neurology, Wayne State University, Detroit, MI, United States.
Henry Ford Hospital · USWayne State University · US

Funding

MRI Signatures of Response to High-Dose Radiotherapy in Rat Models of Cerebral TumorR01CA218596 · NCI · HENRY FORD HEALTH SYSTEM · PI BROWN, STEPHEN L, EWING, JAMES R · 2018 to 2022
$2.4M
NCI NIH HHS R01 CA218596
6 · The paper itself

Abstract

Models of human cancer, to be useful, must replicate human disease with high fidelity. Our focus in this study is rat xenograft brain tumors as a model of human embedded cerebral tumors. A distinguishing signature of such tumors in humans, that of contrast-enhancement on imaging, is often not present when the human cells grow in rodents, despite the xenografts having nearly identical DNA signatures to the original tumor specimen. Although contrast enhancement was uniformly evident in all the human tumors from which the xenografts' cells were derived, we show that long-term contrast enhancement in the model tumors may be determined conditionally by the tumor microenvironment at the time of cell implantation. We demonstrate this phenomenon in one of two patient-derived orthotopic xenograft (PDOX) models using cancer stem-like cell (CSC)-enriched neurospheres from human tumor resection specimens, transplanted to groups of immune-compromised rats in the presence or absence of a collagen/fibrin scaffolding matrix, Matrigel. The rats were imaged by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and their brains were examined by histopathology. Targeted proteomics of the PDOX tumor specimens grown from CSC implanted with and without Matrigel showed that while the levels of the majority of proteins and post-translational modifications were comparable between contrast-enhancing and non-enhancing tumors, phosphorylation of Fox038 showed a differential expression. The results suggest key proteins determine contrast enhancement and suggest a path toward the development of better animal models of human glioma. Future work is needed to elucidate fully the molecular determinants of contrast-enhancement.

Indexed as

Tumor MicroenvironmentAnimalsBrainBrain NeoplasmsCollagenDrug CombinationsFemaleGlioblastomaHumansLamininMagnetic Resonance ImagingNeoplastic Stem CellsProteoglycansRatsSpheroids, CellularTumor Cells, CulturedCollagenDrug CombinationsLamininmatrigelProteoglycansContrast enhancementGlioblastomaMatrigelMRINeurospheresPDOX modelsRat

Identifiers

PMID33571801
PMCPMC8127413
OpenAlexW3124175679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.