黑色素瘤3.0技术创新,新的靶向治疗和t细胞突破。

Q1 Medicine
Donald P Lawrence, Susan Swetter, Meredith McKean
{"title":"黑色素瘤3.0技术创新,新的靶向治疗和t细胞突破。","authors":"Donald P Lawrence, Susan Swetter, Meredith McKean","doi":"10.1200/EDBK-25-473120","DOIUrl":null,"url":null,"abstract":"<p><p>New technologies and innovations are changing the future of melanoma care. Teledermatology and skin screening mobile apps aided by artificial intelligence (AI) diagnostic support could assist in closing disparity gaps in melanoma early detection and access to specialty care. Although the field of AI in dermatology has exploded over the past decade, prospective validation of available algorithms using real-world, multimodal data sets has shown performance decline, limiting their current use in clinical practice. Newer methodological approaches have focused on how AI can augment clinical decision making to speed diagnosis and care delivery-and whether the model output results in a favorable change for the patient. Selective BRAF and MEK inhibitors have an established role in the adjuvant and metastatic setting for the approximately 50% of patients whose melanomas harbor a BRAF V600 mutation. Acquired resistance to these agents remains a challenge, however. For other driver mutations, including class II and III BRAF mutations, alterations in NRAS and CDKN2A, novel agents and combinations are demonstrating promising activity. At least 50% of patients with metastatic melanoma do not derive long-term benefit from immune checkpoint inhibitors (ICIs). Adoptive cellular immunotherapy with tumor infiltrating lymphocytes offers the possibility of a durable response for a minority of these patients. Potentially more effective and better tolerated T-cell therapies are being evaluated in clinical trials.</p>","PeriodicalId":37969,"journal":{"name":"American Society of Clinical Oncology educational book / ASCO. American Society of Clinical Oncology. Meeting","volume":"45 3","pages":"e473120"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Melanoma 3.0T-Tech Innovations, New Targeted Therapies, and T-Cell Breakthroughs.\",\"authors\":\"Donald P Lawrence, Susan Swetter, Meredith McKean\",\"doi\":\"10.1200/EDBK-25-473120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>New technologies and innovations are changing the future of melanoma care. Teledermatology and skin screening mobile apps aided by artificial intelligence (AI) diagnostic support could assist in closing disparity gaps in melanoma early detection and access to specialty care. Although the field of AI in dermatology has exploded over the past decade, prospective validation of available algorithms using real-world, multimodal data sets has shown performance decline, limiting their current use in clinical practice. Newer methodological approaches have focused on how AI can augment clinical decision making to speed diagnosis and care delivery-and whether the model output results in a favorable change for the patient. Selective BRAF and MEK inhibitors have an established role in the adjuvant and metastatic setting for the approximately 50% of patients whose melanomas harbor a BRAF V600 mutation. Acquired resistance to these agents remains a challenge, however. For other driver mutations, including class II and III BRAF mutations, alterations in NRAS and CDKN2A, novel agents and combinations are demonstrating promising activity. At least 50% of patients with metastatic melanoma do not derive long-term benefit from immune checkpoint inhibitors (ICIs). Adoptive cellular immunotherapy with tumor infiltrating lymphocytes offers the possibility of a durable response for a minority of these patients. Potentially more effective and better tolerated T-cell therapies are being evaluated in clinical trials.</p>\",\"PeriodicalId\":37969,\"journal\":{\"name\":\"American Society of Clinical Oncology educational book / ASCO. American Society of Clinical Oncology. Meeting\",\"volume\":\"45 3\",\"pages\":\"e473120\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Society of Clinical Oncology educational book / ASCO. American Society of Clinical Oncology. Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1200/EDBK-25-473120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Society of Clinical Oncology educational book / ASCO. American Society of Clinical Oncology. Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1200/EDBK-25-473120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

新技术和创新正在改变黑色素瘤治疗的未来。在人工智能(AI)诊断支持的帮助下,远程皮肤科和皮肤筛查移动应用程序可以帮助缩小黑色素瘤早期发现和获得专业护理方面的差距。尽管人工智能在皮肤病学领域在过去十年中取得了爆炸式发展,但使用真实世界的多模态数据集对可用算法进行前瞻性验证的性能下降,限制了它们目前在临床实践中的应用。较新的方法方法侧重于人工智能如何增强临床决策以加快诊断和护理交付,以及模型输出是否会对患者产生有利的变化。选择性BRAF和MEK抑制剂在大约50%携带BRAF V600突变的黑色素瘤患者的辅助治疗和转移治疗中具有确定的作用。然而,对这些药物的获得性耐药性仍然是一个挑战。对于其他驱动突变,包括II类和III类BRAF突变,NRAS和CDKN2A的改变,新的药物和组合显示出有希望的活性。至少50%的转移性黑色素瘤患者不能从免疫检查点抑制剂(ICIs)中获得长期益处。肿瘤浸润淋巴细胞的过继细胞免疫治疗为少数患者提供了持久反应的可能性。临床试验正在评估可能更有效、耐受性更好的t细胞疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Melanoma 3.0T-Tech Innovations, New Targeted Therapies, and T-Cell Breakthroughs.

New technologies and innovations are changing the future of melanoma care. Teledermatology and skin screening mobile apps aided by artificial intelligence (AI) diagnostic support could assist in closing disparity gaps in melanoma early detection and access to specialty care. Although the field of AI in dermatology has exploded over the past decade, prospective validation of available algorithms using real-world, multimodal data sets has shown performance decline, limiting their current use in clinical practice. Newer methodological approaches have focused on how AI can augment clinical decision making to speed diagnosis and care delivery-and whether the model output results in a favorable change for the patient. Selective BRAF and MEK inhibitors have an established role in the adjuvant and metastatic setting for the approximately 50% of patients whose melanomas harbor a BRAF V600 mutation. Acquired resistance to these agents remains a challenge, however. For other driver mutations, including class II and III BRAF mutations, alterations in NRAS and CDKN2A, novel agents and combinations are demonstrating promising activity. At least 50% of patients with metastatic melanoma do not derive long-term benefit from immune checkpoint inhibitors (ICIs). Adoptive cellular immunotherapy with tumor infiltrating lymphocytes offers the possibility of a durable response for a minority of these patients. Potentially more effective and better tolerated T-cell therapies are being evaluated in clinical trials.

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
自引率
0.00%
发文量
0
期刊介绍: The Ed Book is a National Library of Medicine–indexed collection of articles written by ASCO Annual Meeting faculty and invited leaders in oncology. Ed Book was launched in 1985 to highlight standards of care and inspire future therapeutic possibilities in oncology. Published annually, each volume highlights the most compelling research and developments across the multidisciplinary fields of oncology and serves as an enduring scholarly resource for all members of the cancer care team long after the Meeting concludes. These articles address issues in the following areas, among others: Immuno-oncology, Surgical, radiation, and medical oncology, Clinical informatics and quality of care, Global health, Survivorship.
×
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:604180095
Book学术官方微信