Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Department of Surgical Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Brief Bioinform. 2024 Jan 22;25(2). doi: 10.1093/bib/bbae028.
Despite a standardized diagnostic examination, cancer of unknown primary (CUP) is a rare metastatic malignancy with an unidentified tissue of origin (TOO). Patients diagnosed with CUP are typically treated with empiric chemotherapy, although their prognosis is worse than those with metastatic cancer of a known origin. TOO identification of CUP has been employed in precision medicine, and subsequent site-specific therapy is clinically helpful. For example, molecular profiling, including genomic profiling, gene expression profiling, epigenetics and proteins, has facilitated TOO identification. Moreover, machine learning has improved identification accuracy, and non-invasive methods, such as liquid biopsy and image omics, are gaining momentum. However, the heterogeneity in prediction accuracy, sample requirements and technical fundamentals among the various techniques is noteworthy. Accordingly, we systematically reviewed the development and limitations of novel TOO identification methods, compared their pros and cons and assessed their potential clinical usefulness. Our study may help patients shift from empirical to customized care and improve their prognoses.
尽管进行了标准化诊断检查,癌症原发灶不明(CUP)仍是一种罕见的转移性恶性肿瘤,其组织来源(TOO)不明。被诊断为 CUP 的患者通常接受经验性化疗,尽管他们的预后比转移性癌症的已知来源差。CUP 的 TOO 识别已应用于精准医学,随后的靶向治疗在临床上是有帮助的。例如,分子谱分析,包括基因组谱分析、基因表达谱分析、表观遗传学和蛋白质组学,促进了 TOO 的识别。此外,机器学习提高了识别的准确性,非侵入性方法,如液体活检和影像组学,正在兴起。然而,各种技术在预测准确性、样本要求和技术基础方面的异质性值得注意。因此,我们系统地回顾了新型 TOO 识别方法的发展和局限性,比较了它们的优缺点,并评估了它们的潜在临床应用价值。我们的研究可能有助于患者从经验性治疗转向定制化治疗,并改善他们的预后。