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DOI 10.1016/j.jare.2025.10.038

Медицинская библиотека · Journal of advanced research · 2025

Clinical validation of a multi-model blood cfDNA methylation assay for early-stage gastrointestinal cancer screening.

Zhu Lingqin, Lin Shuye, Xu Junfeng, Yu Jianwei, Men Fangli, Yu Dongliang, Ma Xianzong, Tian Ju, Xie Hui, Duan Linghui, Wang Xin, Sun Shuyang, Li Chenguang, Li Shu, Kang Qian, Jia Mengyu, Lin Xueqin, Lin Qiaoqiao, Lin Lijuan, Yi Xiang, Wang Ruiru, Guo Wei, Gong Xueqing, Sheng Jianqiu, Guo Ni, Lan Shiqian, Jin Peng, He Yuqi

СтатьяВалидационное исследованиеПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Gastrointestinal (GI) tract cancers are the second leading cause of cancer-related mortality, often due to late detection. There is a critical need for non-invasive, highly sensitive biomarkers for early-stage cancer and precancerous lesion detection to enable timely intervention. This study aimed to develop a blood-based method specifically optimized for early GI cancer detection and population-level screening.

METHODS

Using large-scale public tissue methylation data and the Twist probe cfDNA profiles, we developed SPOGIT (Screening for the Presence of Gastrointestinal Tumors), a multi-algorithm model (Logistic Regression/Transformer/MLP/Random Forest/SGD/SVC) for early GI cancer detection. The model was rigorously validated through an internal (n = 83) and multicenter external validation (386 cancers/113 controls/580 precancers), with an interception model assessing its clinical potential.

RESULTS

SPOGIT demonstrated high accuracy in detecting GI cancers, with a sensitivity of 88.1 % and a specificity of 91.2 %. Notably, it effectively identified early-stage (0-II) cancers with 83.1 % sensitivity. The model also showed significant potential for intercepting premalignant progression, detecting advanced adenomas (AA) and gastric precancerous lesions with sensitivities of 56.5 % and up to 62.4 %, respectively. In the external independent validation cohort, a complementary model CSO (Cancer Signal Origin) demonstrated an accuracy of 83 % for colorectal cancer and 71 % for gastric cancer. Most importantly, simulation analyses projected that SPOGIT implementation could significantly reduce late-stage diagnoses and increase 5-year survival rate by 27.02 % through early interception.

CONCLUSIONS

This study introduced a novel, dual-model blood architecture (SPOGIT/CSO) that enables highly accurate, early detection of GI cancers and their precursors. By facilitating timely clinical intervention, SPOGIT/CSO represented a paradigm-shifting strategy with the potential to significantly improve patient survival outcomes and transform GI cancer management.

Для цитирования: Zhu Lingqin, Lin Shuye, Xu Junfeng, Yu Jianwei, Men Fangli, Yu Dongliang, Ma Xianzong, Tian Ju, Xie Hui, Duan Linghui, Wang Xin, Sun Shuyang, Li Chenguang, Li Shu, Kang Qian, Jia Mengyu, Lin Xueqin, Lin Qiaoqiao, Lin Lijuan, Yi Xiang, Wang Ruiru, Guo Wei, Gong Xueqing, Sheng Jianqiu, Guo Ni, Lan Shiqian, Jin Peng, He Yuqi. Clinical validation of a multi-model blood cfDNA methylation assay for early-stage gastrointestinal cancer screening.. Journal of advanced research. 2025. DOI: 10.1016/j.jare.2025.10.038.

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