Evidence map›Paper›PMID 36394039›Full record

ReviewFrontiers in bioengineering and biotechnology2022

Engineered nanomaterials trigger abscopal effect in immunotherapy of metastatic cancers.

Yuanliang Xia, Ruohan Yang, Jianshu Zhu, Hengyi Wang, Yuehong Li, Jiawei Fan, Changfeng Fu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yuanliang XiaDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
Ruohan YangCancer Center, The First Hospital of Jilin University, Changchun, China.
Jianshu ZhuDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
Hengyi WangDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
Yuehong LiDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
Jiawei FanDepartment of Gastroenterology, The First Hospital of Jilin University, Changchun, China.
Changfeng FuDepartment of Spine Surgery, The First Hospital of Jilin University, Changchun, China.
First Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in cancer treatment, metastatic cancer is still the main cause of death in cancer patients. At present, the treatment of metastatic cancer is limited to palliative care. The abscopal effect is a rare phenomenon in which shrinkage of metastatic tumors occurs simultaneously with the shrinkage of a tumor receiving localized treatment, such as local radiotherapy or immunotherapy. Immunotherapy shows promise for cancer treatment, but it also leads to consequences such as low responsiveness and immune-related adverse events. As a promising target-based approach, intravenous or intratumoral injection of nanomaterials provides new opportunities for improving cancer immunotherapy. Chemically modified nanomaterials may be able to trigger the abscopal effect by regulating immune cells. This review discusses the use of nanomaterials in killing metastatic tumor cells through the regulation of immune cells and the prospects of such nanomaterials for clinical use.

Indexed as

abscopal effectimmune cellsimmunotherapymetastatic cancernanomaterials

Identifiers

PMID36394039
PMCPMC9643844
OpenAlexW4307256150

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.