Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective: To evaluate the clinical performance of HPV genotyping with cytology for detecting cervical precancer among women attending co-testing. Methods: A total of 2 883 females who participated in cervical cancer screening program were recruited from Erdos in 2016. All the participants were tested by cytology and HPV genotyping. In 2017, women with abnormal cytology results or HPV positive were followed up. Pathological cervical intraepithelial neoplasia (CIN) 2+ was the study end-point. Clinical performance indexes were calculated, including sensitivity, specificity, positive predictive value, negative predictive value, referral rate and missed cases. Results: INNO-LiPA resulted in a detection rate of 18.87%(544/2 883) for the 14-type high risk HPV. HPV16 was the most common infectious genotype (4.06%), followed by HPV52 (3.61%), HPV51 (2.50%), HPV58 (1.98%), and HPV18 (1.56%). With more HPV genotypes added into the group, sensitivity increased and the specificity decreased. Addition of HPV16, 58, 33, 39, 52, 18, 31 for detection lead to the maximun value of area under the curve (AUC)=0.913 (95%CI: 0.882-0.944). Compared with traditional screening method by cytology, cotesting decreased the number of missed diagnosis. Meanwhile, the fifth method (co-testing: triage of women with HPV16/18+ , cytological minor abnormalities and HPV58, 33, 39, 52, 31+ or cytological high grade abnormalities) did not increase referral rate (8.99% vs. 8.71%, P=0.525), with five cases of missed diagnosis (sensitivity of 92.1% and specificity of 93.2%). Conclusions Co-testing with triage of women with HPV16/18+ , cytological minor abnormalities and HPV58, 33, 39, 52, 31+ or cytological high grade abnormalities would provide better clinical performance. In co-testing, triage of HPV16/18 was used in women with normal cytology; triage of HPV58, 33, 39, 52 and 31 was used in women with low-grade abnormal cytology; referral colposcopy was used in women with high-grade abnormal cytology, which would provide better clinical performance.