被忽视的精准医疗基石:针对 NSCLC 的个性化术后监控计划

IF 3 Q2 ONCOLOGY
Chenyu Jiang MD , Yang Zhang MD , Penghao Deng MD , Han Lin MD , Fangqiu Fu MD , Chaoqiang Deng MD , Haiquan Chen MD, PhD
{"title":"被忽视的精准医疗基石:针对 NSCLC 的个性化术后监控计划","authors":"Chenyu Jiang MD ,&nbsp;Yang Zhang MD ,&nbsp;Penghao Deng MD ,&nbsp;Han Lin MD ,&nbsp;Fangqiu Fu MD ,&nbsp;Chaoqiang Deng MD ,&nbsp;Haiquan Chen MD, PhD","doi":"10.1016/j.jtocrr.2024.100701","DOIUrl":null,"url":null,"abstract":"<div><p>Non-small cell lung cancer recurrence after curative-intent surgery remains a challenge despite advancements in treatment. We review postoperative surveillance strategies and their impact on overall survival, highlighting recommendations from clinical guidelines and controversies. Studies suggest no clear benefit from more intensive imaging, whereas computed tomography scans reveal promise in detecting recurrence. For early-stage disease, including ground-glass opacities and adenocarcinoma in situ or minimally invasive adenocarcinoma, less frequent surveillance may suffice owing to favorable prognosis. Liquid biopsy, especially circulating tumor deoxyribonucleic acid, holds potential for detecting minimal residual disease. Clinicopathologic factors and genomic profiles can also provide information about site-specific metastases. Machine learning may enable personalized surveillance plans on the basis of multi-omics data. Although precision medicine transforms non-small cell lung cancer treatment, optimizing surveillance strategies remains essential. Tailored surveillance strategies and emerging technologies may enhance early detection and improve patients’ survival, necessitating further research for evidence-based protocols.</p></div>","PeriodicalId":17675,"journal":{"name":"JTO Clinical and Research Reports","volume":"5 8","pages":"Article 100701"},"PeriodicalIF":3.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666364324000717/pdfft?md5=ea3804e17d8c2f249d9023aef03a4942&pid=1-s2.0-S2666364324000717-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The Overlooked Cornerstone in Precise Medicine: Personalized Postoperative Surveillance Plan for NSCLC\",\"authors\":\"Chenyu Jiang MD ,&nbsp;Yang Zhang MD ,&nbsp;Penghao Deng MD ,&nbsp;Han Lin MD ,&nbsp;Fangqiu Fu MD ,&nbsp;Chaoqiang Deng MD ,&nbsp;Haiquan Chen MD, PhD\",\"doi\":\"10.1016/j.jtocrr.2024.100701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Non-small cell lung cancer recurrence after curative-intent surgery remains a challenge despite advancements in treatment. We review postoperative surveillance strategies and their impact on overall survival, highlighting recommendations from clinical guidelines and controversies. Studies suggest no clear benefit from more intensive imaging, whereas computed tomography scans reveal promise in detecting recurrence. For early-stage disease, including ground-glass opacities and adenocarcinoma in situ or minimally invasive adenocarcinoma, less frequent surveillance may suffice owing to favorable prognosis. Liquid biopsy, especially circulating tumor deoxyribonucleic acid, holds potential for detecting minimal residual disease. Clinicopathologic factors and genomic profiles can also provide information about site-specific metastases. Machine learning may enable personalized surveillance plans on the basis of multi-omics data. Although precision medicine transforms non-small cell lung cancer treatment, optimizing surveillance strategies remains essential. Tailored surveillance strategies and emerging technologies may enhance early detection and improve patients’ survival, necessitating further research for evidence-based protocols.</p></div>\",\"PeriodicalId\":17675,\"journal\":{\"name\":\"JTO Clinical and Research Reports\",\"volume\":\"5 8\",\"pages\":\"Article 100701\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666364324000717/pdfft?md5=ea3804e17d8c2f249d9023aef03a4942&pid=1-s2.0-S2666364324000717-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JTO Clinical and Research Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666364324000717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JTO Clinical and Research Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666364324000717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

尽管治疗手段不断进步,但非小细胞肺癌治愈性手术后的复发仍是一项挑战。我们回顾了术后监测策略及其对总生存率的影响,重点介绍了临床指南的建议和争议。研究表明,加强影像学检查并没有明显的益处,而计算机断层扫描则显示出检测复发的前景。对于早期疾病,包括磨玻璃不透明、原位腺癌或微小浸润性腺癌,由于预后良好,监测频率较低即可。液体活检,尤其是循环肿瘤脱氧核糖核酸,具有检测微小残留疾病的潜力。临床病理因素和基因组图谱也能提供有关特定部位转移的信息。机器学习可以在多组学数据的基础上制定个性化的监控计划。虽然精准医疗改变了非小细胞肺癌的治疗,但优化监测策略仍然至关重要。量身定制的监控策略和新兴技术可能会提高早期检测率,改善患者的生存状况,因此有必要进一步研究循证方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Overlooked Cornerstone in Precise Medicine: Personalized Postoperative Surveillance Plan for NSCLC

Non-small cell lung cancer recurrence after curative-intent surgery remains a challenge despite advancements in treatment. We review postoperative surveillance strategies and their impact on overall survival, highlighting recommendations from clinical guidelines and controversies. Studies suggest no clear benefit from more intensive imaging, whereas computed tomography scans reveal promise in detecting recurrence. For early-stage disease, including ground-glass opacities and adenocarcinoma in situ or minimally invasive adenocarcinoma, less frequent surveillance may suffice owing to favorable prognosis. Liquid biopsy, especially circulating tumor deoxyribonucleic acid, holds potential for detecting minimal residual disease. Clinicopathologic factors and genomic profiles can also provide information about site-specific metastases. Machine learning may enable personalized surveillance plans on the basis of multi-omics data. Although precision medicine transforms non-small cell lung cancer treatment, optimizing surveillance strategies remains essential. Tailored surveillance strategies and emerging technologies may enhance early detection and improve patients’ survival, necessitating further research for evidence-based protocols.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.20
自引率
0.00%
发文量
145
审稿时长
19 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信