Development and validation of the utLIFE-PC algorithm for noninvasive detection of prostate cancer in urine: A prospective, observational study

Overbiopsy is a serious health issue in prostate cancer (PCa) diagnostics. We have developed a urine tumor DNA multidimensional bioinformatic algorithm, utLIFE, to avoid unnecessary biopsy. The objective is to recognize all or clinically significant PCa. Of the 801 participants recruited in our study, 630 are selected for subsequent analysis. In the training cohort (n = 237), utLIFE-PC gets an area under the receiver operating characteristic curve (AUC) of 0.967 and a sensitivity of 85.57% at 95% specificity. In the independent prospective validation cohort (n = 343), utLIFE-PC has an AUC of 0.929, sensitivity of 84.24%, and specificity of 93.26%. Notably, in patients with ≥grade group (GG)2 and ≥GG3, the assay's sensitivity is still excellent (85.33% and 87.10%, respectively). The model shows better performance than prostate-specific antigen (PSA) (p < 0.001) or the single-dimensional biomarkers (methylation, p < 0.001; copy-number variations [CNVs], p < 0.001; mutation, p < 0.001). The utLIFE-PC model can potentially optimize the PCa diagnostic process and avoid unnecessary biopsies. This study was registered at Chinese Clinical Trial Registry: ChiCTR2300071837.

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Publication Details

Journal
Cell Reports Medicine
Published
2024-12-01
DOI
https://doi.org/10.1016/j.xcrm.2024.101870
Citations
3
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.26

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article

Development and validation of the utLIFE-PC algorithm for noninvasive detection of prostate cancer in urine: A prospective, observational study

Yanrui Zhang, Huanqing Cheng, Nianzeng Xing, Mingshuai Wang et al.
3 citations
Cell Reports Medicine
Prostate Cancer Diagnosis and Treatment
1.26
article

Development and validation of the utLIFE-PC algorithm for noninvasive detection of prostate cancer in urine: A prospective, observational study

Yanrui Zhang, Huanqing Cheng, Nianzeng Xing, Mingshuai Wang, Shuaipeng Zhu, Yi Zhi, Gejun Zhang, Junlong Wu, Yuanjie Niu, Weigang Yan, Hengqing An, Lei Liu, Zhiyuan Chen, Feng Lou, Jianbin Bi, Dingwei Ye, Zhaoxia Guo, Xiao Liu, Sujun Han, Huina Wang, Linjun Hu, Shanbo Cao, Xiaofu Qiu, Meng Wang, Yong Wang, Ranlu Liu, Libin Chen
article en
3 citations

Abstract

Overbiopsy is a serious health issue in prostate cancer (PCa) diagnostics. We have developed a urine tumor DNA multidimensional bioinformatic algorithm, utLIFE, to avoid unnecessary biopsy. The objective is to recognize all or clinically significant PCa. Of the 801 participants recruited in our study, 630 are selected for subsequent analysis. In the training cohort (n = 237), utLIFE-PC gets an area under the receiver operating characteristic curve (AUC) of 0.967 and a sensitivity of 85.57% at 95% specificity. In the independent prospective validation cohort (n = 343), utLIFE-PC has an AUC of 0.929, sensitivity of 84.24%, and specificity of 93.26%. Notably, in patients with ≥grade group (GG)2 and ≥GG3, the assay's sensitivity is still excellent (85.33% and 87.10%, respectively). The model shows better performance than prostate-specific antigen (PSA) (p < 0.001) or the single-dimensional biomarkers (methylation, p < 0.001; copy-number variations [CNVs], p < 0.001; mutation, p < 0.001). The utLIFE-PC model can potentially optimize the PCa diagnostic process and avoid unnecessary biopsies. This study was registered at Chinese Clinical Trial Registry: ChiCTR2300071837.

Cell Reports MedicineVol. 5(12)
Xinjiang Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), First Affiliated Hospital of Xinjiang Medical University (CN), Wuhan University (CN), Fudan University Shanghai Cancer Center (CN), Second Hospital of Tianjin Medical University (CN), Renmin Hospital of Wuhan University (CN), First Hospital of China Medical University (CN), Guangdong Provincial People's Hospital (CN), Tianjin Medical University (CN), Chongqing Medical University (CN), China Medical University (CN)
National Key Research and Development Program of China
Zero hunger, Good health and well-being
Openalex Percentile: Top 18%
Prostate Cancer Diagnosis and Treatment
1.26
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