Yunhe Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yunhe Liu has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
Dangui Yan
Department of Head and Neck Surgical Oncology, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing 100021
1 shared publication- Hui Huang
Department of Head and Neck Surgical Oncology, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing 100021
1 shared publication - Jianxiong Wu
Department of Hepatobiliary Surgery National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
1 shared publication - Jie Liu
Department of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
1 shared publication Jinge Song
State Key Laboratory of Molecular Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
1 shared publication- Li&Apos;Nan Qin
Department of Head and Neck Surgical Oncology, National Cancer Centre/National Clinical Research Centre for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing 100021
1 shared publication
Latest Publications
- Open Access
- 2 November 2026
- Published by The Endocrine Society in Journal of the Endocrine Society
- Vol. 10 (12)
Age modifies recurrence risk across the 2025 American Thyroid Association risk stratification in papillary thyroid carcinoma
Context: The 2025 American Thyroid Association (ATA) guidelines updated recurrence risk stratification for papillary thyroid cancer (PTC). Whether age modifies the absolute structural recurrence risk represented by these strata is unclear. Objective: To determine whether age modifies 5-year structural recurrence risk across ATA 2025 stratification in PTC and improves risk prediction. Methods: This retrospective cohort study included 14 397 patients with PTC who underwent initial surgery at a tertiary cancer center in China from 2000 to 2018. The primary outcome was 5-year structural recurrence-free survival. Cox models with restricted cubic splines evaluated age effects and ATA2025-by-age interaction. ATA-based and age-interaction models were compared by temporal validation and decision-curve analysis. Results: The median age was 43.0 years, 10 867 patients (75.5%) were female, and 758 (5.3%) experienced structural recurrence during a median follow-up of 60.0 months. Observed 5-year risk rose from 1.7% to 12.5% across ATA2025 stratification. Age modified risk across stratifications (global interaction P < .001). After treatment adjustment, 5-year risk fell from 2.37% at age 35 years to 0.69% at age 65 years in the low-risk group but rose from 8.21% to 19.28% in the high-risk group. In temporal validation, the C-index was 0.745 for both models; 5-year areas under the curve were 0.743 and 0.747, and Brier scores were 0.043 and 0.042. Decision curves showed little overall difference. Conclusion: Age identified meaningful heterogeneity in absolute structural recurrence risk, particularly in high-risk PTC, but added little to predictive performance or decision value. External validation is required before age is used to guide treatment or surveillance.
- 2 November 2026
- Published by The Endocrine Society in Journal of the Endocrine Society
- Vol. 10 (12)
Open AccessAge modifies recurrence risk across the 2025 American Thyroid Association risk stratification in papillary thyroid carcinoma
Context: The 2025 American Thyroid Association (ATA) guidelines updated recurrence risk stratification for papillary thyroid cancer (PTC). Whether age modifies the absolute structural recurrence risk represented by these strata is unclear. Objective: To determine whether age modifies 5-year structural recurrence risk across ATA 2025 stratification in PTC and improves risk prediction. Methods: This retrospective cohort study included 14 397 patients with PTC who underwent initial surgery at a tertiary cancer center in China from 2000 to 2018. The primary outcome was 5-year structural recurrence-free survival. Cox models with restricted cubic splines evaluated age effects and ATA2025-by-age interaction. ATA-based and age-interaction models were compared by temporal validation and decision-curve analysis. Results: The median age was 43.0 years, 10 867 patients (75.5%) were female, and 758 (5.3%) experienced structural recurrence during a median follow-up of 60.0 months. Observed 5-year risk rose from 1.7% to 12.5% across ATA2025 stratification. Age modified risk across stratifications (global interaction P < .001). After treatment adjustment, 5-year risk fell from 2.37% at age 35 years to 0.69% at age 65 years in the low-risk group but rose from 8.21% to 19.28% in the high-risk group. In temporal validation, the C-index was 0.745 for both models; 5-year areas under the curve were 0.743 and 0.747, and Brier scores were 0.043 and 0.042. Decision curves showed little overall difference. Conclusion: Age identified meaningful heterogeneity in absolute structural recurrence risk, particularly in high-risk PTC, but added little to predictive performance or decision value. External validation is required before age is used to guide treatment or surveillance.
- Open Access
- 5 April 2022
- Published by Wiley in Clinical and Translational Medicine
- Vol. 12 (4) , e793
Integrated analysis of circulating tumour cells and circulating tumour DNA to detect minimal residual disease in hepatocellular carcinoma
- 5 April 2022
- Published by Wiley in Clinical and Translational Medicine
- Vol. 12 (4) , e793
Open AccessIntegrated analysis of circulating tumour cells and circulating tumour DNA to detect minimal residual disease in hepatocellular carcinoma