Evidence map›Paper›PMID 35600651›Full record

ArticleBioengineering & translational medicine2022

Synergistic strategy with hyperthermia therapy based immunotherapy and engineered exosomes-liposomes targeted chemotherapy prevents tumor recurrence and metastasis in advanced breast cancer.

Haiqin Huang, Lanlan Shao, Yan Chen, Lan Tang, Tianqing Liu, Junxu Li, Hongyan Zhu

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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  20. Engineered exosomes from different sources for cancer-targeted therapy.Signal transduction and targeted therapy · 2023
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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 2 countries.

Haiqin HuangDepartment of Pharmaceutics School of Pharmacy, Nantong University Nantong China.
Lanlan ShaoDepartment of Pharmaceutics School of Pharmacy, Nantong University Nantong China.
Yan ChenDepartment of Pharmaceutics School of Pharmacy, Nantong University Nantong China.
Lan TangDepartment of Pharmaceutics School of Pharmacy, Nantong University Nantong China.
Tianqing LiuNICM Health Research Institute Western Sydney University Westmead New South Wales Australia.
Junxu LiDepartment of Pharmaceutics School of Pharmacy, Nantong University Nantong China.
Hongyan ZhuDepartment of Pharmaceutics School of Pharmacy, Nantong University Nantong China.ORCID https://orcid.org/0000-0002-5985-8533
Nantong University · CNWestmead Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced breast cancer with recurrent and distal organ metastasis is aggressive and incurable. The current existing treatment strategies for advanced breast cancer are difficult to achieve synergistic treatment of recurrent tumors and distant metastasis, resulting in poor clinical outcomes. Herein, a synergistic therapy strategy composed of biomimetic tumor-derived exosomes (TEX)-Liposome-paclitaxel (PTX) with lung homing properties and gold nanorods (GNR)-PEG, was designed, respectively. GNR-PEG, with well biocompatibility, cured recurrent tumors effectively by thermal ablation under the in situ NIR irradiation. Meanwhile, GNR-mediated thermal ablation activated the adaptive antitumor immune response, significantly increased the level of CD8

Indexed as

antitumor immune responseGNRTEX‐liposome‐PTXthermal ablation

Identifiers

PMID35600651
PMCPMC9115690
OpenAlexW4200194646

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.