Evidence map›Paper›PMID 40347350›Full record

ReviewCancer metastasis reviews2025

Nanomaterials in cancer starvation therapy: pioneering advances, therapeutic potential, and clinical challenges.

Nam Anh Tran, Shehzahdi S Moonshi, Alfred K Lam, Cu Tai Lu, Cong Quang Vu, Satoshi Arai, Hang Thu Ta

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

7 authors.

Nam Anh TranSchool of Environment and Science, Griffith University, Nathan, QLD, 4111, Australia.
Shehzahdi S MoonshiSchool of Environment and Science, Griffith University, Nathan, QLD, 4111, Australia.
Alfred K LamSchool of Medicine and Dentistry, Griffith University, Southport, QLD, 4215, Australia.
Cu Tai LuSchool of Medicine and Dentistry, Griffith University, Southport, QLD, 4215, Australia.
Cong Quang VuWPI Nano Life Science Institute, Kanazawa University, Kakuma-Machi, Kanazawa, 920-1192, Japan.
Satoshi AraiWPI Nano Life Science Institute, Kanazawa University, Kakuma-Machi, Kanazawa, 920-1192, Japan.
Hang Thu TaSchool of Environment and Science, Griffith University, Nathan, QLD, 4111, Australia. h.ta@griffith.edu.au.

Funding

Australian Research Council FT240100280
6 · The paper itself

Abstract

Gaining significant attention in recent years, starvation therapy based on the blocking nutrients supply to cancer cells via blood occlusion and metabolic interventions is a promisingly novel approach in cancer treatment. However, there are many crucial obstacles to overcome to achieve effective treatment, for example, poor-targeting delivery, cellular hypoxia, adverse effects, and ineffective monotherapy. The starvation-based multitherapy based on multifunctional nanomaterials can narrow these gaps and pave a promising way for future clinical translation. This review focuses on the progression in nanomaterials-mediated muti-therapeutic modalities based on starvation therapy in recent years and therapeutic limitations that prevent their clinical applications. Moreover, unlike previous reviews that focused on a single aspect of the field, this comprehensive review presents a broader perspective on starvation therapy by summarising advancements across its various therapeutic strategies.

Indexed as

NanostructuresNeoplasmsAnimalsHumansCancer starvation therapyCombination of therapiesMultifunctional nanomaterials

Identifiers

PMID40347350
PMCPMC12065774

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.