Evidence map›Paper›PMID 40495024›Full record

ReviewDiscover oncology2025

Advancement in tumor treating fields of mechanism, clinical applications, and future directions.

Meiqi Zang, Song Zhu, Qiang Niu

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Meiqi ZangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Song ZhuDepartment of General Surgery, Shidong Hospital, ShidongHospital Affiliated to University of Shanghai for Science and Technology, Shanghai, China.
Qiang NiuDepartment of General Surgery, Shidong Hospital, ShidongHospital Affiliated to University of Shanghai for Science and Technology, Shanghai, China. shnqblue@usst.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional cancer treatment modalities, such as surgical interventions, radiotherapy, and chemotherapy, persist as the cornerstone of standard care across a wide array of clinical settings. Despite their established effectiveness in combating cancer, these therapies are inherently invasive in nature and have great side effects, which seriously affect the quality of life of patients. Tumor Treating Fields is a low-intensity intermediate-frequency alternating electric field. Based on the current clinical study of Tumor Treating Fields in brain tumors, The U.S. Food and Drug Administration (FDA) initially approved Tumor Treating Fields in 2015 for the treatment of newly diagnosed or relapsed glioblastoma multiforme (GBM) and in 2019 for the treatment of malignant pleural mesothelioma (MPM). However, Tumor Treating Fields is still not widely appreciated in the treatment of high-mortality cancers, and although the therapeutic effect of Tumor Treating Fields has been validated in cell experiments and clinical trials, how to optimize its therapeutic effect remains to be studied. In this paper, the mechanism of Tumor Treating Fields treatment and its clinical progress were reviewed, and the dosimetry and numerical simulation of individualized treatment were comprehensively summarized, in order provide new ideas for further clinical research of this treatment model.

Indexed as

Action mechanismCancerCancer treatmentNew combination therapyTumor treating fields

Identifiers

PMID40495024
PMCPMC12151965

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.