New techniques to identify the tissue of origin for cancer of unknown primary in the era of precision medicine: progress and challenges.
Wenyuan MaHui WuYiran ChenHongxia XuJunjie JiangBang DuMingyu WanXiaolu MaXiaoyu ChenLili LinXinhui SuXuanwen BaoYifei ShenNong XuJian RuanHaiping JiangYongfeng DingPublished in: Briefings in bioinformatics (2024)
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.
Keyphrases
- end stage renal disease
- papillary thyroid
- machine learning
- newly diagnosed
- chronic kidney disease
- single cell
- ejection fraction
- squamous cell carcinoma
- small cell lung cancer
- squamous cell
- peritoneal dialysis
- prognostic factors
- palliative care
- gene expression
- deep learning
- radiation therapy
- bioinformatics analysis
- bone marrow
- patient reported outcomes
- pain management
- quality improvement
- climate change
- mesenchymal stem cells
- childhood cancer
- chronic pain
- ultrasound guided
- urinary tract infection