New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges

Author:

Ma Wenyuan12ORCID,Wu Hui12,Chen Yiran34,Xu Hongxia5,Jiang Junjie67,Du Bang89,Wan Mingyu12,Ma Xiaolu12,Chen Xiaoyu12,Lin Lili102,Su Xinhui102,Bao Xuanwen12,Shen Yifei112ORCID,Xu Nong12,Ruan Jian12,Jiang Haiping12,Ding Yongfeng12ORCID

Affiliation:

1. Department of Medical Oncology , The First Affiliated Hospital, , Hangzhou , China

2. Zhejiang University School of Medicine , The First Affiliated Hospital, , Hangzhou , China

3. Department of Surgical Oncology , The First Affiliated Hospital, College of Medicine, , Hangzhou, Zhejiang , China

4. Zhejiang University , The First Affiliated Hospital, College of Medicine, , Hangzhou, Zhejiang , China

5. Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Zhejiang University , Haining , China

6. Department of Gastroenterology , Affiliated Hangzhou First People's Hospital, , Hangzhou , China

7. Zhejiang University School of Medicine , Affiliated Hangzhou First People's Hospital, , Hangzhou , China

8. Real Doctor AI Research Centre , School of Medicine, , Hangzhou 310058 , China

9. Zhejiang University , School of Medicine, , Hangzhou 310058 , China

10. Department of Nuclear Medicine , The First Affiliated Hospital, , Hangzhou , China

11. Department of Laboratory Medicine , the First Affiliated Hospital, , Hangzhou , China

Abstract

Abstract 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.

Funder

Natural Science Foundation of Zhejiang Province

Clinical Research Fund Project of Zhejiang Medical Association

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

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