Near-Infrared Photoimmunotherapy of Cancer

Abstract:
Conspectus This Account is the first comprehensive review article on the newly developed, photochemistry-based cancer therapy near-infrared (NIR) photoimmunotherapy (PIT). NIR-PIT is a molecularly targeted phototherapy for cancer that is based on injecting a conjugate of a near-infrared, water-soluble, silicon-phthalocyanine derivative, IRdye700DX (IR700), and a monoclonal antibody (mAb) that targets an expressed antigen on the cancer cell surface. Subsequent local exposure to NIR light turns on this photochemical “death” switch, resulting in the rapid and highly selective immunogenic cell death (ICD) of targeted cancer cells. ICD occurs as early as 1 min after exposure to NIR light and results in irreversible morphologic changes only in target-expressing cells based on the newly discovered photoinduced ligand release reaction that induces physical changes on conjugated antibody/antigen complex resulting in functional damage on cell membrane. Meanwhile, immediately adjacent receptor-negative cells are totally unharmed. Because of its highly targeted nature, NIR-PIT carries few side effects and healing is rapid. Evaluation of the tumor microenvironment reveals that ICD induced by NIR-PIT results in rapid maturation of immature dendritic cells adjacent to dying cancer cells initiating a host anticancer immune response, resulting in repriming of polyclonal CD8+T cells against various released cancer antigens, which amplifies the therapeutic effect of NIR-PIT. NIR-PIT can target and treat virtually any cell surface antigens including cancer stem cell markers, that is, CD44 and CD133. A first-in-human phase 1/2 clinical trial of NIR-PIT using cetuximab-IR700 (RM1929) targeting EGFR in inoperable recurrent head and neck cancer patients successfully concluded in 2017 and led to “fast tracking” by the FDA and a phase 3 trial (https://clinicaltrials.gov/ct2/show/NCT03769506) that is currently underway in 3 countries in Asia, US/Canada, and 4 countries in EU. The next step for NIR-PIT is to further exploit the immune response. Preclinical research in animals with intact immune systems has shown that NIT-PIT targeting of immunosuppressor cells within the tumor, such as regulatory T-cells, can further enhance tumor-cell-selective systemic host-immunity leading to significant responses in distant metastatic tumors, which are not treated with light. By combining cancer-targeting NIR-PIT and immune-activating NIR-PIT or other cancer immunotherapies, NIR-PIT of a local tumor, could lead to responses in distant metastases and may also inhibit recurrences due to activation of systemic anticancer immunity and long-term immune memory without the systemic autoimmune adverse effects often associated with immune checkpoint inhibitors. Furthermore, NIR-PIT also enhances nanodrug delivery into tumors up to 24-fold superior to untreated tumors with conventional EPR effects by intensively damaging cancer cells behind tumor vessels. We conclude by describing future advances in this novel photochemical cancer therapy that are likely to further enhance the efficacy of NIR-PIT.
Author Listing: Hisataka Kobayashi;Peter L Choyke
Volume: 52
Pages: 2332 - 2339
DOI: 10.1021/acs.accounts.9b00273
Language: English
Journal: Accounts of Chemical Research

ACCOUNTS OF CHEMICAL RESEARCH

Acc. Chem. Res.

影响因子:16.4 是否综述期刊:是 是否OA:否 是否预警:不在预警名单内 发行时间:1968 ISSN:0001-4842 发刊频率:Monthly 收录数据库:SCIE/Scopus收录 出版国家/地区:UNITED STATES 出版社:American Chemical Society

期刊介绍

Accounts of Chemical Research 主要发表化学和生物化学领域内关于基础研究和应用的短小精悍、具有作者团队自己研究特色的述评文章,或者前瞻性观点。这些短综述都是基于作者自己实验室的过往研究,以便向读者完整介绍研究项目。期刊收录研究方向:化学,化学综合Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Visit the Accounts Special Issues page for listings, descriptions, and TOC's of all special issues.Beginning in 2008, Accounts of Chemical Research replaced their traditional article abstract with an article "Conspectus." These new entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article’s discoverability by search engines and the exposure for the research.

化学研究报告提供了简短,简洁和关键的文章,提供了化学和生物化学所有领域的基础研究和应用的易于阅读的概述。此外,《化学研究报告》还出版了专门针对异常活动和意义的单一问题的特刊。访问帐户特殊问题页面以获取所有特殊问题的列表,描述和目录。从2008年开始,化学研究帐户用文章 “Conspectus” 代替了传统的文章摘要。这些新条目概述了这项研究,使读者可以更仔细地了解文章的内容和意义。通过提供对文章内容的更详细描述,Conspectus增强了搜索引擎对文章的可发现性和对研究的了解。

年发文量 311
国人发稿量 102
国人发文占比 32.8%
自引率 0.6%
平均录取率 极难
平均审稿周期 一般,3-6周
版面费 -
偏重研究方向 化学-化学综合
期刊官网 https://pubs.acs.org/journal/achre4
投稿链接 https://acs.manuscriptcentral.com/acs

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
0.00% 12.32% 0.00% 0.90%

相关指数

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期刊预警不是论文评价,更不是否定预警期刊发表的每项成果。《国际期刊预警名单(试行)》旨在提醒科研人员审慎选择成果发表平台、提示出版机构强化期刊质量管理。

预警期刊的识别采用定性与定量相结合的方法。通过专家咨询确立分析维度及评价指标,而后基于指标客观数据产生具体名单。

具体而言,就是通过综合评判期刊载文量、作者国际化程度、拒稿率、论文处理费(APC)、期刊超越指数、自引率、撤稿信息等,找出那些具备风险特征、具有潜在质量问题的学术期刊。最后,依据各刊数据差异,将预警级别分为高、中、低三档,风险指数依次减弱。

《国际期刊预警名单(试行)》确定原则是客观、审慎、开放。期刊分区表团队期待与科研界、学术出版机构一起,夯实科学精神,打造气正风清的学术诚信环境!真诚欢迎各界就预警名单的分析维度、使用方案、值得关切的期刊等提出建议!

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时间 预警情况
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
2020年12月发布的2020版 不在预警名单中

JCR分区 WOS分区等级:Q1区

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WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2021-2022年最新版)
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关于2019年中科院分区升级版(试行)

分区表升级版(试行)旨在解决期刊学科体系划分与学科发展以及融合趋势的不相容问题。由于学科交叉在当代科研活动的趋势愈发显著,学科体系构建容易引发争议。为了打破学科体系给期刊评价带来的桎梏,“升级版方案”首先构建了论文层级的主题体系,然后分别计算每篇论文在所属主题的影响力,最后汇总各期刊每篇论文分值,得到“期刊超越指数”,作为分区依据。

分区表升级版(试行)的优势:一是论文层级的主题体系既能体现学科交叉特点,又可以精准揭示期刊载文的多学科性;二是采用“期刊超越指数”替代影响因子指标,解决了影响因子数学性质缺陷对评价结果的干扰。整体而言,分区表升级版(试行)突破了期刊评价中学科体系构建、评价指标选择等瓶颈问题,能够更为全面地揭示学术期刊的影响力,为科研评价“去四唯”提供解决思路。相关研究成果经过国际同行的认可,已经发表在科学计量学领域国际重要期刊。

《2019年中国科学院文献情报中心期刊分区表升级版(试行)》首次将社会科学引文数据库(SSCI)期刊纳入到分区评估中。升级版分区表(试行)设置了包括自然科学和社会科学在内的18个大类学科。基础版和升级版(试行)将过渡共存三年时间,推测在此期间各大高校和科研院所仍可能会以基础版为考核参考标准。 提示:中科院分区官方微信公众号“fenqubiao”仅提供基础版数据查询,暂无升级版数据,请注意区分。

中科院分区 查看说明

版本 大类学科 小类学科 Top期刊 综述期刊
化学
1区
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2021年12月
基础版
化学
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2021年12月
升级版
化学
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2020年12月
旧的升级版
化学
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CHEMISTRY, MULTIDISCIPLINARY
化学综合
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2022年12月
最新升级版
化学
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CHEMISTRY, MULTIDISCIPLINARY
化学:综合
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