Evidence map›Paper›PMID 38512420›Full record

ArticleJCI insight2024

Tumor treating fields suppress tumor cell growth and neurologic decline in models of spinal metastases.

Daniel Ledbetter, Romulo Augusto Andrade de Almeida, Xizi Wu, Ariel Naveh, Chirag B Patel, Queena Gonzalez, Thomas H Beckham, Robert North, Laurence Rhines, Jing Li and 4 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 1 institution in 1 country.

Daniel LedbetterDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Romulo Augusto Andrade de AlmeidaDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xizi WuDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ariel NavehNovocure Ltd., Haifa, Israel.
Chirag B PatelDepartment of Neuro-Oncology.
Queena GonzalezDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Thomas H BeckhamDepartment of Radiation Oncology, CNS/Pediatrics Section, and.
Robert NorthDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Laurence RhinesDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jing LiDepartment of Radiation Oncology, CNS/Pediatrics Section, and.
Amol GhiaDepartment of Radiation Oncology, CNS/Pediatrics Section, and.
David AtenDepartment of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Claudio TatsuiDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Christopher Alvarez-BreckenridgeDepartment of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal metastases can result in severe neurologic compromise and decreased overall survival. Despite treatment advances, local disease progression is frequent, highlighting the need for novel therapies. Tumor treating fields (TTFields) impair tumor cell replication and are influenced by properties of surrounding tissue. We hypothesized that bone's dielectric properties will enhance TTFields-mediated suppression of tumor growth in spinal metastasis models. Computational modeling of TTFields intensity was performed following surgical resection of a spinal metastasis and demonstrated enhanced TTFields intensity within the resected vertebral body. Additionally, luciferase-tagged human KRIB osteosarcoma and A549 lung adenocarcinoma cell lines were cultured in demineralized bone grafts and exposed to TTFields. Following TTFields exposure, the bioluminescence imaging (BLI) signal decreased to 10%-80% of baseline, while control cultures displayed a 4.48- to 9.36-fold increase in signal. Lastly, TTFields were applied in an orthotopic murine model of spinal metastasis. After 21 days of treatment, control mice demonstrated a 5-fold increase in BLI signal compared with TTFields-treated mice. TTFields similarly prevented tumor invasion into the spinal canal and development of neurologic symptoms. Our data suggest that TTFields can be leveraged as a local therapy within minimally conductive bone of spinal metastases. This provides the groundwork for future studies investigating TTFields for patients with treatment-refractory spinal metastases.

Indexed as

Spinal NeoplasmsA549 CellsAnimalsCell Line, TumorCell ProliferationDisease Models, AnimalFemaleHumansLung NeoplasmsMiceOsteosarcomaXenograft Model Antitumor AssaysBone biologyNeurological disordersNeuroscienceOrthopedics

Identifiers

PMID38512420
PMCPMC11141916
OpenAlexW4393055936

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.