Evidence map›Paper›PMID 35200369›Full record

ReviewBiosensors2022

Recent Advances of Mesoporous Silica as a Platform for Cancer Immunotherapy.

Albert Yu, Xiaoyong Dai, Zixian Wang, Huaqing Chen, Bing Guo, Laiqiang Huang

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Albert YuPrecision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Xiaoyong DaiPrecision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Zixian WangPrecision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Huaqing ChenPrecision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Bing GuoSchool of Science and Shenzhen Key Laboratory of Flexible Printed Electronics Technology, Harbin Institute of Technology, Shenzhen 518055, China.ORCID 0000-0001-7981-0644
Laiqiang HuangPrecision Medicine and Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0002-2237-5300
Tsinghua–Berkeley Shenzhen Institute · CNHarbin Institute of Technology · CN

Funding

National Natural Science Foundation of China 81641051National Natural Science Foundation of China 81872368Science and Technology Innovation Commission of Shenzhen JCYJ20210324132816039Science and Technology Innovation Commission of Shenzhen RCBS20200714114910141Shenzhen Development and Reform Commission Subject Construction Project [2017]1434Shenzhen Science and Technology Innovation Commission Key Projects of Fundamental Research and Program for Building Shenzhen City and State Key Laboratories GJHZ20140416153844269Shenzhen Science and Technology Innovation Commission Key Projects of Fundamental Research and Program for Building Shenzhen City and State Key Laboratories GUOKEFAJI[2018]38Shenzhen Science and Technology Innovation Commission Key Projects of Fundamental Research and Program for Building Shenzhen City and State Key Laboratories JCYJ20130402145002438Shenzhen Science and Technology Innovation Commission Key Projects of Fundamental Research and Program for Building Shenzhen City and State Key Laboratories JCYJ20140418112611757Shenzhen Science and Technology Innovation Commission Key Projects of Fundamental Research and Program for Building Shenzhen City and State Key Laboratories JCYJ20180508152130899Shenzhen Science and Technology Innovation Commission Key Projects of Fundamental Research and Program for Building Shenzhen City and State Key Laboratories ZDSYS20140509172959975Start-up Grant at Harbin Institute of Technology (Shenzhen) HA11409049Start-up Grant at Harbin Institute of Technology (Shenzhen) HA45001108
6 · The paper itself

Abstract

Immunotherapy is a promising modality of treatment for cancer. Immunotherapy is comprised of systemic and local treatments that induce an immune response, allowing the body to fight back against cancer. Systemic treatments such as cancer vaccines harness antigen presenting cells (APCs) to activate T cells with tumor-associated antigens. Small molecule inhibitors can be employed to inhibit immune checkpoints, disrupting tumor immunosuppression and immune evasion. Despite the current efficacy of immunotherapy, improvements to delivery can be made. Nanomaterials such as mesoporous silica can facilitate the advancement of immunotherapy. Mesoporous silica has high porosity, decent biocompatibility, and simple surface functionalization. Mesoporous silica can be utilized as a versatile carrier of various immunotherapeutic agents. This review gives an introduction on mesoporous silica as a nanomaterial, briefly covering synthesis and biocompatibility, and then an overview of the recent progress made in the application of mesoporous silica to cancer immunotherapy.

Indexed as

Cancer VaccinesNanoparticlesNeoplasmsHumansImmunotherapySilicon DioxideCancer VaccinesSilicon Dioxidecancerdrug deliveryimmunotherapymesoporous silica nanoparticlesnanomaterial

Identifiers

PMID35200369
PMCPMC8869707
OpenAlexW4211177040

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.