Evidence map›Paper›PMID 41031324›Full record

ReviewBeilstein journal of nanotechnology2025

Prospects of nanotechnology and natural products for cancer and immunotherapy.

Jan Filipe Andrade Santos, Marcela Bernardes Brasileiro, Pamela Danielle Cavalcante Barreto, Ligiane Aranha Rocha, José Adão Carvalho Nascimento Júnior

Abstract readReview
In one paragraph

Review in Beilstein journal of nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jan Filipe Andrade SantosDepartment of Pharmacy, Federal University of Sergipe, São Cristóvão, Brazil.ORCID https://orcid.org/0009-0006-2573-5566
Marcela Bernardes BrasileiroDepartment of Pharmacy, Federal University of Sergipe, São Cristóvão, Brazil.ORCID https://orcid.org/0009-0007-8828-6590
Pamela Danielle Cavalcante BarretoDepartment of Pharmacy, Federal University of Sergipe, São Cristóvão, Brazil.
Ligiane Aranha RochaDepartment of Pharmacy, Federal University of Sergipe, São Cristóvão, Brazil.
José Adão Carvalho Nascimento JúniorDepartment of Pharmacy, Federal University of Sergipe, São Cristóvão, Brazil.ORCID https://orcid.org/0000-0001-8243-5849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanotechnology is revolutionizing pharmaceutical industry and drug development by providing significant advantages in controlling drug release, enhancing stability, and reducing adverse effects. Concurrently, natural products are being extensively researched for their anticancer and immunomodulatory properties. This patent review aims to analyze publications that integrate nanotechnology with natural products to develop cancer treatments and immunotherapies. In this context, 17 patents were identified through the free online databases of the European Patent Office (EPO) and the World Intellectual Property Organization (WIPO). The review discusses various types of nanotechnology, including nanoparticles, nanocarriers, and nanocapsules, as well as bioactive compounds primarily extracted from plants. Among the most frequently identified natural products were ursolic acid, hyaluronic acid, and catechins. These bioactive compounds have been shown to promote cell cycle arrest, reduce tumor size, and exhibit synergistic effects with other anticancer agents. Consequently, the combination of natural products with nanotechnology holds significant therapeutic potential.

Indexed as

cancerimmunotherapynanotechnologynatural productspatentreview

Identifiers

PMID41031324
PMCPMC12477904

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.