Evidence map›Paper›PMID 29950833›Full record

ArticleInternational journal of nanomedicine2018

Nano-therapeutic cancer immunotherapy using hyperthermia-induced heat shock proteins: insights from mathematical modeling.

Fang-Chu Lin, Chao-Hsiung Hsu, Yung-Ya Lin

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 38 citations in OpenAlex.

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  12. International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2020
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  20. Immunogenic Effect of Hyperthermia on Enhancing Radiotherapeutic Efficacy.International journal of molecular sciences · 2018
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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

3 authors at 1 institution in 1 country.

Fang-Chu LinDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA.
Chao-Hsiung HsuDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA.
Yung-Ya LinDepartment of Chemistry and Biochemistry, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · US

Funding

UCLA MSD ProgramR25GM055052 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BARBER, PAUL HENRY, HASSON, TAMA W. · 1996 to 2021
$9.2M
NIGMS NIH HHS R25 GM055052
6 · The paper itself

Abstract

backgroundNano-therapeutic utilizing hyperthermia therapy in combination with chemotherapy, surgery, and radiation is known to treat various types of cancer. These cancer treatments normally focus on reducing tumor burden. Nevertheless, it is still challenging to confine adequate thermal energy in a tumor and obtain a complete tumor ablation to avoid recurrence and metastasis while leaving normal tissues unaffected. Consequently, it is critical to attain an alternative tumor-killing mechanism to circumvent these challenges. Studies have demonstrated that extracellular heat shock proteins (HSPs) activate antitumor immunity during tumor cell necrosis. Such induced immunity was further shown to assist in regressing tumor and reducing recurrence and metastasis. However, only a narrow range of thermal dose is reported to be able to acquire the optimal antitumor immune outcome. Consequently, it is crucial to understand how extracellular HSPs are generated. MATERIALS AND

methodsIn this work, a predictive model integrating HSP synthesis mechanism and cell death model is proposed to elucidate the HSP involvement in hyperthermia cancer immune therapy and its relation with dead tumor cells. This new model aims to provide insights into the thermally released extracellular HSPs by dead tumor cells for a more extensive set of conditions, including various temperatures and heating duration time.

resultsOur model is capable of predicting the optimal thermal parameters to generate maximum HSPs for stimulating antitumor immunity, promoting tumor regression, and reducing metastasis. The obtained nonlinear relation between extracellular HSP concentration and increased dead cell number, along with rising temperature, shows that only a narrow range of thermal dose is able to generate the optimal antitumor immune result.

conclusionOur predictive model is capable of predicting the optimal temperature and exposure time to generate HSPs involved in the antitumor immune activation, with a goal to promote tumor regression and reduce metastasis.

Indexed as

Hyperthermia, InducedImmunotherapyModels, BiologicalAnimalsCell DeathHeat-Shock ProteinsHot TemperatureHumansKineticsNanomedicineNeoplasmsHeat-Shock Proteinscancer immunotherapyheat shock proteinhyperthermiananomedicinenano-therapeutic

Identifiers

PMID29950833
PMCPMC6016258
OpenAlexW2808478344

What OpenQuestion holds

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LicenceCC BY-NC
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.