Suppr超能文献

肿瘤浸润淋巴细胞治疗肺癌及其未来模式。

Tumor-infiltrating lymphocyte therapy for lung cancer and its future paradigms.

机构信息

Cancer Immunology Project (CIP), Universal Scientific Education and Research Network (USERN), Tehran, Iran.

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Expert Opin Biol Ther. 2022 Jun;22(6):735-745. doi: 10.1080/14712598.2022.2072206. Epub 2022 May 4.

Abstract

INTRODUCTION

Lung cancer is the leading cause of cancer death, with an estimated 1.8 million deaths contributing to this cancer in 2020. Despite advances in treatment options and various approaches being attempted, the survival rate remains low.

AREAS COVERED

In this review, we aim to provide an overview of the efficacy of tumor-infiltrating lymphocyte (TIL) therapy for lung cancer based on existing clinical trials. We also discuss the current challenges and future landscape of this treatment modality.

EXPERT OPINION

Lung cancer can be a suitable candidate for TIL therapy due to its high mutational burden. Specifically, it has shown promising results for non-small cell lung cancer resistant to immune checkpoint inhibitors. Still, there are many restrictions associated with the expansion and delivery of TILs, limiting their availability. For this reason, applying TIL for the treatment of lung cancer has not been extensively investigated yet and only a few clinical trials have shown favorable results of TIL therapy in patients with lung cancer. Thus, facilitating this costly, labor-intensive and time-consuming process is of utmost importance to increase the number of performed studies and to detect eligible patients who could benefit most from this treatment modality.

摘要

简介

肺癌是癌症死亡的主要原因,据估计,2020 年有 180 万人因肺癌死亡。尽管治疗方案有所进步,并且尝试了各种方法,但存活率仍然很低。

涵盖领域

在这篇综述中,我们旨在根据现有临床试验,提供肿瘤浸润淋巴细胞(TIL)治疗肺癌疗效的概述。我们还讨论了这种治疗方式的当前挑战和未来前景。

专家意见

由于肺癌具有较高的突变负担,因此可能是 TIL 治疗的合适候选者。具体而言,它在对免疫检查点抑制剂耐药的非小细胞肺癌中显示出了有希望的结果。尽管如此,TIL 的扩增和输送仍存在许多限制,限制了其应用。因此,将 TIL 应用于肺癌的治疗尚未得到广泛研究,只有少数临床试验显示 TIL 疗法对肺癌患者有良好的效果。因此,促进这一昂贵、劳动密集型和耗时的过程至关重要,可以增加进行研究的数量,并发现最能从这种治疗方式中受益的合格患者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验