Evidence map›Paper›PMID 40875176›Full record

ReviewMedical oncology (Northwood, London, England)2025

Magnetic hyperthermia-based therapies for cancer targeting: current progress and future perspectives.

Prinsy Rana, Garima, Sushma Devi, Gurpreet Kaur, Sachin Kumar Singh, Neeraj Mittal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Prinsy RanaChitkara College of Pharmacy, Chitkara University, Punjab, India.
GarimaChitkara College of Pharmacy, Chitkara University, Punjab, India.
Sushma DeviChitkara College of Pharmacy, Chitkara University, Punjab, India.
Gurpreet KaurDepartment of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India.
Sachin Kumar SinghSchool of Pharmaceutical Sciences, Lovely Professional University, Jalandhar-Delhi G.T Road, Phagwara, Punjab, India.
Neeraj MittalChitkara College of Pharmacy, Chitkara University, Punjab, India. neerajmittal41@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer has complicated pathological events, and conventional cancer therapy has limitations in the lack of selectivity, cytotoxicity, and the development of multidrug resistance. Hyperthermia, based on mild elevation in temperature up to 45 °C, can result in cancer cell death. However, the clinical applicability of MNPs for heating malignant cells is impeded by the difficulties of efficiently and selectively heating the tumors. The intravenous delivery of cancer-targeted magnetic nanoparticles (MNPs), combined with the application of an external magnetic field, is designed to elevate the temperature in tumor tissue where the nanoparticles (NPs) are concentrated. While preclinical developments in magnetic hyperthermia (MHT) are promising, several challenges must be addressed before this method can be applied in clinical settings. This review article will explore the role of hyperthermia in inducing tumor cell death, the principles of utilizing MHT for cancer targeting, the potential advantages of combination therapies, the biocompatibility of MNPs, and the specific challenges associated with implementing MHT as a treatment for cancer.

Indexed as

Hyperthermia, InducedMagnetite NanoparticlesNeoplasmsAnimalsHumansMagnetite NanoparticlesAnti-cancer drugsCancerClinical translationsNanomaterialsTumor

Identifiers

What OpenQuestion holds

Textmetadata
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.