研究动态
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肝内胆管癌预后评估方法的现状和未来展望。

[Current status and future perspectives on the methods of prognosis evaluation for intrahepatic cholangiocarcinoma].

发表日期:2023 Apr 24
作者: G W Ji, Z G Xu, S Y Cao, K Wang, X H Wang
来源: MOLECULAR & CELLULAR PROTEOMICS

摘要:

肝内胆管细胞癌(ICC)是继肝细胞癌之后第二常见的原发性肝恶性肿瘤。近年来,其发病率和死亡率在全球范围内均呈上升趋势。手术切除是治疗ICC的最佳方式;然而,总体预后仍然很差。准确评估术后预后可以提供个性化治疗,提高ICC长期预后。美国癌症联合委员会TNM分期手册是诊断和治疗ICC的标准基础;然而,T期和N期的内容需要改进。在对常用临床病理参数分析中建立的众数模型或评分体系可以提供个性化预后手术和提高预测准确性;然而,需要更多研究验证结果以在临床中使用。同时,影像学特征为建立ICC术后预后评估系统提供了巨大潜力。分子基础分类为预后评估提供了准确保证,同时选择对靶向治疗或免疫治疗敏感的人群。因此,在基于临床和病理特征的预后评估系统,集中于多学科和多组学组合的情况下,建立肝内胆管癌手术切除后的预后评估系统,将有助于在大型医疗数据的背景下改善ICC的长期预后。
Intrahepatic cholangiocarcinoma (ICC) is the second most common primary malignant tumor in the liver after hepatocellular carcinoma. Its incidence and mortality rates have increased worldwide in recent years. Surgical resection is the best treatment modality for ICC;however,the overall prognosis remains poor. Accurate evaluatiion of post operative prognosis allows personalized treatment and improved long-term outcomes of ICC. The American Joint Commission on Cancer TNM staging manual is the basis for the standardized diagnosis and treatment of ICC;however,the contents of stage T and stage N need to be improved. The nomogram model or scoring system established in the analysis of commonly used clinicopathological parameters can provide individualized prognostic operative and improve prediction accuracy;however,more studies are needed to validate the results before clinical use. Meanwhile,imaging features exhibit great potential to establish the post operative prognosis evaluation system for ICC. Molecular-based classification provides an accurate guarantee for prognostic assessment as well as selection of populations that are sensitive to targeted therapy or immunotherapy. Therefore,the establishment of a prognosis evaluation system,based on clinical and pathological characteristics and centered on the combination of multidisciplinary and multi-omics,will be conducive to improving the long-term outcomes of ICC after surgical resection in the context of big medical data.