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精准医学研究向放射肿瘤学中基于生物标志物的护理的转化。

Translation of Precision Medicine Research Into Biomarker-Informed Care in Radiation Oncology.

机构信息

Translational Hematology and Oncology Research Department, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland,OH; Systems Biology and Bioinformatics Program, School of Medicine, Case Western Reserve University, Cleveland, OH.

Translational Hematology and Oncology Research Department, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland,OH; Radiation Oncology Department, Taussig Cancer Institute, Cleveland Clinic Foundation, 10201 Carnegie Ave, Cleveland, OH.

出版信息

Semin Radiat Oncol. 2022 Jan;32(1):42-53. doi: 10.1016/j.semradonc.2021.09.001.

DOI:10.1016/j.semradonc.2021.09.001
PMID:34861995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8667861/
Abstract

The reach of personalized medicine in radiation oncology has expanded greatly over the past few decades as technical precision has improved the delivery of radiation to each patient's unique anatomy. Yet, the consideration of biological heterogeneity between patients has largely not been translated to clinical care. There are innumerable promising advancements in the discovery and validation of biomarkers, which could be used to alter radiation therapy directly or indirectly. Directly, biomarker-informed care may alter treatment dose or identify patients who would benefit most from radiation therapy and who could safely avoid more aggressive care. Indirectly, a variety of biomarkers could assist with choosing the best radiosensitizing chemotherapies. The translation of these advancements into clinical practice will bring radiation oncology even further into the era of precision medicine, treating patients according to their unique anatomical and biological differences.

摘要

在过去的几十年中,随着技术精度的提高,个性化医学在放射肿瘤学中的应用范围大大扩大,能够将放射治疗精确地应用于每个患者独特的解剖结构。然而,患者之间生物学异质性的考虑在很大程度上尚未转化为临床护理。在发现和验证生物标志物方面有无数有前途的进展,这些标志物可以直接或间接地用于改变放射治疗。直接地,基于生物标志物的治疗可以改变治疗剂量,或者确定最受益于放射治疗的患者,以及能够安全避免更激进治疗的患者。间接地,各种生物标志物可以帮助选择最佳的增敏化疗药物。将这些进展转化为临床实践,将使放射肿瘤学进一步进入精准医学时代,根据患者独特的解剖学和生物学差异进行治疗。

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Clin Genitourin Cancer. 2021 Aug;19(4):296-304.e3. doi: 10.1016/j.clgc.2021.01.003. Epub 2021 Jan 19.
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Deciphering Genomic Risk in Prostate Cancer-Ready for Prime Time.解读前列腺癌的基因组风险——已准备好进入黄金时代。
JAMA Oncol. 2021 Apr 1;7(4):553-554. doi: 10.1001/jamaoncol.2020.7579.
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Combining radiation therapy and immunotherapy for lung cancers: a narrative review.肺癌的放射治疗与免疫治疗联合应用:一项叙述性综述
Shanghai Chest. 2021 Jan;5. doi: 10.21037/shc-20-66. Epub 2021 Jan 10.
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Cell-cycle risk score more accurately determines the risk for metastases and death in prostatectomy patients compared with clinical features alone.与仅基于临床特征相比,细胞周期风险评分能更准确地确定前列腺切除术患者发生转移和死亡的风险。
Prostate. 2021 Mar;81(4):261-267. doi: 10.1002/pros.24103. Epub 2021 Jan 21.
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Personalizing Radiotherapy Prescription Dose Using Genomic Markers of Radiosensitivity and Normal Tissue Toxicity in NSCLC.使用 NSCLC 中放射敏感性和正常组织毒性的基因组标记来个性化放射治疗处方剂量。
J Thorac Oncol. 2021 Mar;16(3):428-438. doi: 10.1016/j.jtho.2020.11.008. Epub 2020 Dec 8.
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