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免疫肿瘤学中的新兴概念:来自自然语言处理驱动的共现分析的见解

Emerging Concepts in Immuno-Oncology: Insights from Natural Language Processing-Driven Co-Occurrence Analysis.

作者信息

Iyer Kavita A, Tenchov Rumiana, Ivanov Julian M, Zhou Qiongqiong Angela

机构信息

CAS, A Division of the American Chemical Society, Columbus, Ohio 43210, United States.

出版信息

ACS Omega. 2025 Jun 27;10(27):28587-28614. doi: 10.1021/acsomega.5c00693. eCollection 2025 Jul 15.

DOI:10.1021/acsomega.5c00693
PMID:40686960
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12268748/
Abstract

Immuno-oncology, a rapidly evolving field at the forefront of cancer research, leverages the body's immune system to fight cancer. In this follow-up report, we extend our natural language processing-based analysis to pinpoint the context of emergence of the previously identified emerging concepts. To achieve this relational analysis, we devised a method to identify terms co-occurring in a single sentence in the title or abstract of >350,000 journal and patent publications. The focus of the current study was on intergroup co-occurrences, namely between therapeutic targets, biomarkers, types of therapy, and types of cancer. In our discussion, we have highlighted potentially emerging co-occurring concept pairs between each of the groups exhibiting rapid growth in publications over the past few years but an overall small number of publications. This analysis provides contextual information that may be useful in directing future research efforts in a valuable direction.

摘要

免疫肿瘤学是癌症研究前沿一个快速发展的领域,它利用人体免疫系统来对抗癌症。在这份后续报告中,我们扩展了基于自然语言处理的分析,以确定先前确定的新兴概念出现的背景。为了进行这种关系分析,我们设计了一种方法,用于识别超过35万篇期刊和专利出版物的标题或摘要中出现在同一句子中的术语。当前研究的重点是组间共现,即治疗靶点、生物标志物、治疗类型和癌症类型之间的共现。在我们的讨论中,我们强调了在过去几年中出版物数量快速增长但总体数量较少的每组之间可能出现的共现概念对。该分析提供了背景信息,可能有助于将未来的研究工作引向有价值的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/b391cbdf2b97/ao5c00693_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/b448e33fc347/ao5c00693_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/077d46311f71/ao5c00693_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/7b4bc176a66a/ao5c00693_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/3176651077dd/ao5c00693_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/0eef63374d28/ao5c00693_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/b391cbdf2b97/ao5c00693_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/b448e33fc347/ao5c00693_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/077d46311f71/ao5c00693_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/7b4bc176a66a/ao5c00693_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/3176651077dd/ao5c00693_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/0eef63374d28/ao5c00693_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f472/12268748/b391cbdf2b97/ao5c00693_0006.jpg

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