Evidence map›Paper›PMID 26432436›Full record

ArticleActa biomaterialia2015

Tumor mitochondria-targeted photodynamic therapy with a translocator protein (TSPO)-specific photosensitizer.

Shaojuan Zhang, Ling Yang, Xiaoxi Ling, Pin Shao, Xiaolei Wang, W Barry Edwards, Mingfeng Bai

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 70 citations in OpenAlex.

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  14. Photostable, hydrophilic, and near infrared quaterrylene-based dyes for photoacoustic imaging.Materials science & engineering. C, Materials for biological applications · 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

7 authors at 3 institutions in 2 countries.

Shaojuan Zhang *Molecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Ling Yang *Molecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Xiaoxi LingMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Pin ShaoMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Xiaolei WangMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
W Barry EdwardsMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
Mingfeng BaiMolecular Imaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15219, USA.
University of Pittsburgh · USFudan University · CNUPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
A Novel Theranostic Platform for Targeted Cancer Therapy and Treatment MonitoringR21CA174541 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAI, MINGFENG · 2013 to 2015
$661k
NCI NIH HHS P30 CA047904NCI NIH HHS P30CA047904NCI NIH HHS R21 CA174541NCI NIH HHS R21CA174541
6 · The paper itself

Abstract

Photodynamic therapy (PDT) has been proven to be a minimally invasive and effective therapeutic strategy for cancer treatment. It can be used alone or as a complement to conventional cancer treatments, such as surgical debulking and chemotherapy. The mitochondrion is an attractive target for developing novel PDT agents, as it produces energy for cells and regulates apoptosis. Current strategy of mitochondria targeting is mainly focused on utilizing cationic photosensitizers that bind to the negatively charged mitochondria membrane. However, such an approach is lack of selectivity of tumor cells. To minimize the damage on healthy tissues and improve therapeutic efficacy, an alternative targeting strategy with high tumor specificity is in critical need. Herein, we report a tumor mitochondria-specific PDT agent, IR700DX-6T, which targets the 18kDa mitochondrial translocator protein (TSPO). IR700DX-6T induced apoptotic cell death in TSPO-positive breast cancer cells (MDA-MB-231) but not TSPO-negative breast cancer cells (MCF-7). In vivo PDT study suggested that IR700DX-6T-mediated PDT significantly inhibited the growth of MDA-MB-231 tumors in a target-specific manner. These combined data suggest that this new TSPO-targeted photosensitizer has great potential in cancer treatment. STATEMENT OF SIGNIFICANCE: Photodynamic therapy (PDT) is an effective and minimally invasive therapeutic technique for treating cancers. Mitochondrion is an attractive target for developing novel PDT agents, as it produces energy to cells and regulates apoptosis. Current mitochondria targeted photosensitizers (PSs) are based on cationic molecules, which interact with the negatively charged mitochondria membrane. However, such PSs are not specific for cancerous cells, which may result in unwanted side effects. In this study, we developed a tumor mitochondria-targeted PS, IR700DX-6T, which binds to translocator protein (TSPO). This agent effectively induced apoptosis in TSPO-positive cancer cells and significantly inhibited tumor growth in TSPO-positive tumor-bearing mice. These combined data suggest that IR700DX-6T could become a powerful tool in the treatment of multiple cancers that upregulate TSPO.

Indexed as

PhotochemotherapyAnimalsApoptosisCell Line, TumorHumansMiceMicroscopy, FluorescenceMitochondriaNeoplasmsPhotosensitizing AgentsPhotosensitizing AgentsApoptosisMitochondriaPhotodynamic therapyPhotosensitizerTranslocator proteinTSPO

Identifiers

PMID26432436
PMCPMC4648641
OpenAlexW2134932711

What OpenQuestion holds

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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.