Evidence map›Paper›PMID 39872169›Full record

ReviewIn vitro models2023

Leveraging mesoporous silica nanomaterial for optimal immunotherapeutics against cancer.

K C Ashitha, Gopinath M, Sasirekha N R, Balakumar S, Rajashree P

Abstract readReview
In one paragraph

Review in In vitro models, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

K C AshithaCentre of Advanced Study in Crystallography and Biophysics, University of Madras, Chennai, 600025 India.
Gopinath MCentre of Advanced Study in Crystallography and Biophysics, University of Madras, Chennai, 600025 India.
Sasirekha N RCentre of Advanced Study in Crystallography and Biophysics, University of Madras, Chennai, 600025 India.
Balakumar SNational Centre for Nanoscience and Nanotechnology, University of Madras, Chennai, India.
Rajashree PCentre of Advanced Study in Crystallography and Biophysics, University of Madras, Chennai, 600025 India.ORCID 0000-0001-5611-8858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer represents a significant cause of morbidity and mortality. Definitive chemotherapy, surgery and radiotherapy treatment have not improved the "5-year survival period" and have shown recurrence. Currently, cancer immunotherapy is reported to be a promising therapeutic modality that aims to potentiate immune response against cancer by employing immune checkpoint inhibitors, cancer vaccines and immunomodulators. Inhibition of immune checkpoints such as PD-1/PDL1, CTLA and TIM molecules using monoclonal antibodies, ligands or both are proven to be the most successful anticancer immunotherapy. But the application of immunotherapy involves critical challenges such as non-responsiveness and systemic toxicity due to the administration of high dose. To mitigate the above challenges, nanomaterial-based delivery and therapy have been adopted to inhibit the immune checkpoints and induce an anticancer immune response. Specifically, mesoporous silica-based materials for cancer therapy are shown to be versatile materials for the above purpose. Mesoporous silica nanoparticle (MSN) based cancer immunotherapy overcomes numerous challenges and offers novel strategies for improving conventional immunotherapies. MSN has a high surface area, porosity and biocompatibility; it also has natural immune-adjuvant properties, which have been reported to be the best candidate material for immunotherapeutic delivery. This review will focus on the use of MSN as carriers for delivering immune checkpoint inhibitors and their efficacy in cancer combination therapy.

Indexed as

Cancer immunotherapyCTLAImmune-checkpoint inhibitorMesoporous silica nanoparticlesPD1/PDL1

Identifiers

PMID39872169
PMCPMC11756482

What Socratic 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 Socratic graph.