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放射基因组学:探寻结直肠癌患者的肝转移情况

Radiogenomics: Hunting Down Liver Metastasis in Colorectal Cancer Patients.

作者信息

de la Pinta Carolina, Castillo María E, Collado Manuel, Galindo-Pumariño Cristina, Peña Cristina

机构信息

Radiation Oncology Department, Ramón y Cajal University Hospital, IRYCIS, Alcalá University, 28034 Madrid, Spain.

Medical Oncology Department, Ramón y Cajal University Hospital, IRYCIS, Alcalá University, 28034 Madrid, Spain.

出版信息

Cancers (Basel). 2021 Nov 5;13(21):5547. doi: 10.3390/cancers13215547.

DOI:10.3390/cancers13215547
PMID:34771709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8582778/
Abstract

Radiomics is a developing new discipline that analyzes conventional medical images to extract quantifiable data that can be mined for new biomarkers that show the biology of pathological processes at microscopic levels. These data can be converted into image-based signatures to improve diagnostic, prognostic and predictive accuracy in cancer patients. The combination of radiomics and molecular data, called radiogenomics, has clear implications for cancer patients' management. Though some studies have focused on radiogenomics signatures in hepatocellular carcinoma patients, only a few have examined colorectal cancer metastatic lesions in the liver. Moreover, the need to differentiate between liver lesions is fundamental for accurate diagnosis and treatment. In this review, we summarize the knowledge gained from radiomics and radiogenomics studies in hepatic metastatic colorectal cancer patients and their use in early diagnosis, response assessment and treatment decisions. We also investigate their value as possible prognostic biomarkers. In addition, the great potential of image mining to provide a comprehensive view of liver niche formation is examined thoroughly. Finally, new challenges and current limitations for the early detection of the liver premetastatic niche, based on radiomics and radiogenomics, are also discussed.

摘要

放射组学是一门正在发展的新学科,它分析传统医学图像以提取可量化数据,这些数据可用于挖掘新的生物标志物,这些生物标志物能在微观层面显示病理过程的生物学特性。这些数据可转化为基于图像的特征,以提高癌症患者诊断、预后和预测的准确性。放射组学与分子数据的结合,即放射基因组学,对癌症患者的管理具有明确意义。尽管一些研究聚焦于肝细胞癌患者的放射基因组学特征,但仅有少数研究探讨了肝脏中的结直肠癌转移灶。此外,区分肝脏病变对于准确诊断和治疗至关重要。在本综述中,我们总结了从肝脏转移性结直肠癌患者的放射组学和放射基因组学研究中获得的知识,以及它们在早期诊断、疗效评估和治疗决策中的应用。我们还研究了它们作为可能的预后生物标志物的价值。此外,深入探讨了图像挖掘在全面了解肝脏生态位形成方面的巨大潜力。最后,还讨论了基于放射组学和放射基因组学早期检测肝脏前转移生态位面临的新挑战和当前局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a257/8582778/8b4266b0f39c/cancers-13-05547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a257/8582778/8b4266b0f39c/cancers-13-05547-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a257/8582778/8b4266b0f39c/cancers-13-05547-g001.jpg

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本文引用的文献

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A radiomic signature model to predict the chemoradiation-induced alteration in tumor-infiltrating CD8 cells in locally advanced rectal cancer.一种预测局部晚期直肠癌中肿瘤浸润 CD8 细胞经放化疗诱导改变的放射组学特征模型。
Radiother Oncol. 2021 Sep;162:124-131. doi: 10.1016/j.radonc.2021.07.004. Epub 2021 Jul 12.
2
Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.磁共振成像放射组学预测术前腋窝淋巴结转移以支持手术决策,并与浸润性乳腺癌的肿瘤微环境相关:一项机器学习、多中心研究。
EBioMedicine. 2021 Jul;69:103460. doi: 10.1016/j.ebiom.2021.103460. Epub 2021 Jul 4.
3
肿瘤学中转移的预测模型:当前方法与未来方向。
Ann Med Surg (Lond). 2025 May 21;87(6):3489-3508. doi: 10.1097/MS9.0000000000003279. eCollection 2025 Jun.
4
Understanding pre-metastatic niche formation: implications for colorectal cancer liver metastasis.了解转移前生态位的形成:对结直肠癌肝转移的影响。
J Transl Med. 2025 Mar 17;23(1):340. doi: 10.1186/s12967-025-06328-2.
5
Image Analysis as tool for Predicting Colorectal Cancer Molecular Alterations: A Scoping Review.图像分析作为预测结直肠癌分子改变的工具:一项范围综述
Mol Imaging Radionucl Ther. 2025 Feb 7;34(1):10-25. doi: 10.4274/mirt.galenos.2024.86402.
6
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Front Oncol. 2024 Sep 11;14:1460136. doi: 10.3389/fonc.2024.1460136. eCollection 2024.
7
A study predicting long-term survival capacity in postoperative advanced gastric cancer patients based on MAOA and subcutaneous muscle fat characteristics.基于 MAOA 和皮下肌肉脂肪特征预测术后晚期胃癌患者长期生存能力的研究。
World J Surg Oncol. 2024 Jul 16;22(1):184. doi: 10.1186/s12957-024-03466-7.
8
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J Cancer Res Clin Oncol. 2024 Jan 31;150(2):57. doi: 10.1007/s00432-023-05566-5.
9
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Curr Oncol. 2023 May 11;30(5):4936-4945. doi: 10.3390/curroncol30050372.
10
Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases.动态影像组学预测结直肠癌肝转移抗血管生成治疗疗效的研究
Front Oncol. 2023 Feb 6;13:992096. doi: 10.3389/fonc.2023.992096. eCollection 2023.
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Eur Radiol. 2022 Jan;32(1):650-660. doi: 10.1007/s00330-021-08146-8. Epub 2021 Jul 5.
4
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Contrast Media Mol Imaging. 2021 Jun 14;2021:6641384. doi: 10.1155/2021/6641384. eCollection 2021.
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J Immunother Cancer. 2021 Jun;9(6). doi: 10.1136/jitc-2020-002118.
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10
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J Med Imaging (Bellingham). 2021 May;8(3):031906. doi: 10.1117/1.JMI.8.3.031906. Epub 2021 May 8.