Evidence map›Paper›PMID 35712964›Full record

ArticleTechnology in cancer research & treatment

Highly Active Nano-Reactor for Responding Tumor Microenvironment and Antitumor Therapy.

Shuangxia Zhang, Yan Liu, Bo Liu

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. 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, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 3 institutions in 1 country.

Shuangxia Zhang66571Tianjin First Central Hospital, Tianjin, China.
Yan LiuRenji Hospital South Campus, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bo Liu74643General Hospital of the Northern Theater Command, Shenyang, China.ORCID 0000-0002-8861-8272
General Hospital of Shenyang Military Region · CNShanghai Jiao Tong University · CNTianjin First Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment is complex and changeable, so the design of a nano-delivery system for the tumor microenvironment has attracted wide attention. Based on this, we designed an intelligent nano-reactor for the characteristics of acidic pH and hypoxia in the tumor microenvironment. Firstly, the silver nano-balls were synthesized by the biological template method, which exhibited a good photothermal conversion efficiency and can realize the photothermal treatment of tumor sites. Subsequently, the hypoxic prodrug tirapazamine (TPZ) and polydopamine (PDA) for chemotherapy were self-assembled. After PDA arrived at the tumor site (pH 5.5) from the normal physiological environment (pH 7.4), the hypoxic prodrug TPZ was released in pH response by PDA. Subsequently, TPZ selectively induced obvious cell damage under tumor hypoxia stimulation but had no toxic effect on normal cells under normal oxygen. In addition, the nano-converter was loaded with iRGD on the surface, which enhanced the targeted delivery of the nano-reactor to achieve a highly effective antitumor effect. The nano-reactor was capable of combining photothermal/chemotherapy therapy. Importantly, it can selectively kill tumor cells without damaging normal cells based on the characteristics of the tumor microenvironment, with high bio-safety and clinical transformation potential.

Indexed as

NanoparticlesNeoplasmsProdrugsCell Line, TumorHumansTirapazamineTumor MicroenvironmentProdrugsTirapazaminephotothermal therapytirapazaminetumor microenvironment

Identifiers

PMID35712964
PMCPMC9210091
OpenAlexW4283076972

What OpenQuestion holds

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LicenceCC BY-NC
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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.