Evidence map›Paper›PMID 41738040›Full record

ReviewJournal of the National Cancer Center2026

Light-responsive nanotherapeutic carbon dots: a next generation tool for cancer phototherapy.

Hong Hui Jing, Mitesh Patel, Mohd Adnan, Sreenivasan Sasidharan

Abstract readReview
In one paragraph

Review in Journal of the National Cancer Center, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

4 authors.

Hong Hui JingInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia (USM), Pulau Pinang, Malaysia.
Mitesh PatelResearch and Development Cell, Parul University, Waghodia, Vadodara, Gujarat, India.
Mohd AdnanDepartment of Biology, College of Science, University of Ha'il, Ha'il, Saudi Arabia.
Sreenivasan SasidharanInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia (USM), Pulau Pinang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon dots (CDs) have emerged as promising nanomaterials in cancer phototherapy due to their unique optical properties, biocompatibility, and tunability. This review comprehensively examines the role of CDs in photodynamic therapy (PDT) and photothermal therapy (PTT), highlighting their mechanisms of action, including the induction of apoptosis, necrosis, and necroptosis in cancer cells. Key factors influencing the efficacy of cancer phototherapy-such as the tumor microenvironment (TME), nanoparticle stability, and light parameters-are thoroughly analyzed. Advancements in surface modifications, targeted, drug delivery and multifunctional applications, including their integration with chemotherapy and immunotherapy, further expand the clinical potential of CDs. While preclinical studies have demonstrated the efficacy of CDs in selectively targeting cancer cells and inducing therapeutic effects, challenges related to biosafety and regulatory approval hinder clinical translation. By addressing existing challenges and leveraging interdisciplinary innovations, CDs hold great promise for personalized and less invasive cancer treatments. Their future success in clinical application will depend on overcoming biological barriers and optimizing the safety profile to facilitate their seamless integration into oncology.

Indexed as

Cancer therapyCarbon dotsPhotodynamic therapyPhotothermal therapyTranslational research

Identifiers

PMID41738040
PMCPMC12925875

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.