Biomarkers for Personalized Neoadjuvant Therapy in Triple-Negative Breast Cancer: Moving Forward

医学 三阴性乳腺癌 乳腺癌 新辅助治疗 肿瘤科 三重阴性 内科学 癌症 医学物理学
作者
Gaiane M. Rauch
出处
期刊:Radiology [Radiological Society of North America]
卷期号:312 (3)
标识
DOI:10.1148/radiol.242011
摘要

HomeRadiologyVol. 312, No. 3 PreviousNext Reviews and CommentaryEditorialBiomarkers for Personalized Neoadjuvant Therapy in Triple-Negative Breast Cancer: Moving ForwardGaiane M. Rauch Gaiane M. Rauch Author AffiliationsFrom the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1473, Houston, TX 77030.Address correspondence to the author (email: [email protected]).Gaiane M. Rauch Published Online:Sep 3 2024https://doi.org/10.1148/radiol.242011See also the article by Ramtohul et al in this issue.MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. Symmans WF, Wei C, Gould R, et al. Long-term prognostic risk after neoadjuvant chemotherapy associated with residual cancer burden and breast cancer subtype. J Clin Oncol 2017;35(10):1049–1060. MedlineGoogle Scholar2. Schmid P, Cortes J, Pusztai L, et al; KEYNOTE-522 Investigators. Pembrolizumab for early triple-negative breast cancer. N Engl J Med 2020;382(9):810–821. MedlineGoogle Scholar3. Panthi B, Mohamed RM, Adrada BE, et al. Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer. Front Oncol 2023;13:1264259. MedlineGoogle Scholar4. Abuhadra N, Sun R, Yam C, et al. Predictive roles of baseline stromal tumor-infiltrating lymphocytes and Ki-67 in pathologic complete response in an early-stage triple-negative breast cancer prospective trial. Cancers (Basel) 2023;15(13):3275. MedlineGoogle Scholar5. Ramtohul T, Lepagney V, Bonneau C, et al. Use of pretreatment perfusion MRI–based intratumoral heterogeneity to predict pathologic response of triple-negative breast cancer to neoadjuvant chemoimmunotherapy. Radiology 2024;312(3):e240575. Google Scholar6. Shi Z, Huang X, Cheng Z, et al. MRI-based quantification of intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer. Radiology 2023;308(1):e222830. Google Scholar7. Ramtohul T, Tescher C, Vaflard P, et al. Prospective evaluation of ultrafast breast MRI for predicting pathologic response after neoadjuvant therapies. Radiology 2022;305(3):565–574. Google Scholar8. Jimenez JE, Abdelhafez A, Mittendorf EA, et al. A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer. Eur J Radiol 2022;149:110220. MedlineGoogle Scholar9. Li Y, Chen Y, Zhao R, et al. Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer. Eur Radiol 2022;32(3):1676–1687. MedlineGoogle Scholar10. Zhang Y, You C, Pei Y, et al. Integration of radiogenomic features for early prediction of pathological complete response in patients with triple-negative breast cancer and identification of potential therapeutic targets. J Transl Med 2022;20(1):256. MedlineGoogle ScholarArticle HistoryReceived: July 8 2024Revision requested: July 19 2024Revision received: July 20 2024Accepted: July 22 2024Published online: Sept 03 2024 FiguresReferencesRelatedDetailsAccompanying This ArticleUse of Pretreatment Perfusion MRI–based Intratumoral Heterogeneity to Predict Pathologic Response of Triple-Negative Breast Cancer to Neoadjuvant ChemoimmunotherapySep 3 2024RadiologyRecommended Articles Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic TherapyRadiology2023Volume: 308Issue: 1Multiparameter MRI and Clinical Factors for Predicting Early Response to Chemoradiotherapy in Cervical CancerRadiology: Imaging Cancer2021Volume: 3Issue: 1Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 ChallengeRadiology: Imaging Cancer2024Volume: 6Issue: 1Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant ChemotherapyRadiology2018Volume: 288Issue: 1pp. 26-35High-Resolution Photoacoustic Tomography for Early-Stage Cancer Detection and Its Clinical TranslationRadiology: Imaging Cancer2020Volume: 2Issue: 3See More RSNA Education Exhibits Cancer In PregnancyDigital Posters2021Staging Breast Cancer: A Case Based ReviewDigital Posters2022Response Evaluation Criteria in GI Cancers: What to Use and How to Measure: An Emerging Challenge in the Era of Novel Cancer TreatmentsDigital Posters2022 RSNA Case Collection Inflammatory breast cancerRSNA Case Collection2020Secondary Angiosarcoma of the BreastRSNA Case Collection2021Desmoid tumor of the male breastRSNA Case Collection2020 Vol. 312, No. 3 Metrics Altmetric Score PDF download
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
聪慧芷巧发布了新的文献求助10
刚刚
章鱼小丸子完成签到 ,获得积分10
刚刚
共享精神应助科研通管家采纳,获得10
8秒前
Raymond完成签到,获得积分10
10秒前
susan完成签到 ,获得积分10
17秒前
朴素海亦完成签到 ,获得积分10
19秒前
27秒前
科研通AI5应助Nick爱学习采纳,获得10
27秒前
幽默的太阳完成签到 ,获得积分10
28秒前
卞卞完成签到,获得积分10
28秒前
胖胖完成签到 ,获得积分0
31秒前
小宏完成签到,获得积分10
34秒前
zhuhan发布了新的文献求助10
34秒前
Emma完成签到,获得积分10
36秒前
独钓寒江雪完成签到 ,获得积分10
37秒前
秋秋发布了新的文献求助10
40秒前
心系天下完成签到 ,获得积分10
42秒前
王王完成签到 ,获得积分10
45秒前
xybjt完成签到 ,获得积分10
45秒前
英俊的铭应助帅气的宛凝采纳,获得10
47秒前
fa完成签到,获得积分10
48秒前
Axs完成签到,获得积分10
48秒前
北国雪未消完成签到 ,获得积分10
49秒前
51秒前
猫猫头完成签到 ,获得积分10
52秒前
五月初夏完成签到,获得积分10
53秒前
海北完成签到 ,获得积分10
54秒前
唠叨的天亦完成签到 ,获得积分10
55秒前
Yihahahaevd完成签到 ,获得积分10
58秒前
zjq完成签到 ,获得积分10
59秒前
周美玉完成签到 ,获得积分10
1分钟前
努力退休小博士完成签到 ,获得积分10
1分钟前
zyb完成签到 ,获得积分10
1分钟前
Air完成签到 ,获得积分10
1分钟前
聪慧芷巧发布了新的文献求助10
1分钟前
康复小白完成签到 ,获得积分10
1分钟前
小康学弟完成签到 ,获得积分10
1分钟前
研友_Z1eDgZ完成签到,获得积分10
1分钟前
D-L@rabbit完成签到 ,获得积分10
1分钟前
reset完成签到 ,获得积分10
1分钟前
高分求助中
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
Problems of point-blast theory 400
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4001408
求助须知:如何正确求助?哪些是违规求助? 3540782
关于积分的说明 11278718
捐赠科研通 3278706
什么是DOI,文献DOI怎么找? 1808174
邀请新用户注册赠送积分活动 884376
科研通“疑难数据库(出版商)”最低求助积分说明 810291