A fecal-based test for the detection of advanced adenoma and colorectal cancer: a case-control and screening cohort study
Lian-Jing Cao,
Xiao-Lin Peng,
Wen-Qiong Xue,
Rong Zhang,
Jiang-Bo Zhang,
Ting Zhou,
Zi-Yi Wu,
Gai-Rui Li,
Tong-Min Wang,
Yong-Qiao He,
Da-Wei Yang,
Ying Liao,
Xia-Ting Tong,
Fang Wang,
Ke-Xin Chen,
Shi-Hong Zhang,
Li-Qing Zhu,
Pei-Rong Ding,
Wei-Hua Jia
Affiliations
Lian-Jing Cao
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Xiao-Lin Peng
Shenzhen Nanshan Center for Chronic Disease Control
Wen-Qiong Xue
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Rong Zhang
Department of Endoscopy and Laser, Sun Yat-Sen University Cancer Center
Jiang-Bo Zhang
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Ting Zhou
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Zi-Yi Wu
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Gai-Rui Li
Shenzhen Nanshan Center for Chronic Disease Control
Tong-Min Wang
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Yong-Qiao He
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Da-Wei Yang
School of Public Health, Sun Yat-Sen University
Ying Liao
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Xia-Ting Tong
School of Public Health, Sun Yat-Sen University
Fang Wang
Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University
Ke-Xin Chen
Department of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital
Shi-Hong Zhang
Department of Laboratory Medicine, First Affiliated Hospital, Sun Yat-sen University
Li-Qing Zhu
Shenzhen Nanshan Center for Chronic Disease Control
Pei-Rong Ding
Department of Colorectal Surgery, Sun Yat-sen University Cancer Center
Wei-Hua Jia
State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center
Abstract Background Colorectal cancer (CRC) is the leading cause of cancer death worldwide. Screening is a confirmed way to reduce the incidence and mortality rates of CRC. This study aimed to identify a fecal-based, noninvasive, and accurate method for detection of colorectal cancer (CRC) and advanced adenoma (AA). Methods Through detection in tissue (n = 96) and fecal samples (n = 88) and tested in an independent group of fecal samples (n = 294), the methylated DNA marker ITGA4 and bacterial markers Fusobacterium nucleatum (Fn) and Pepetostreptococcusanaerobius (Pa) were identified from the candidate biomarkers for CRC and AA detection. A prediction score (pd-score) was constructed using the selected markers and fecal immunochemical test (FIT) for distinguishing AA and CRC from healthy subjects by logistic regression method. The diagnostic performance of the pd-score was compared with FIT and validated in the external validation cohort (n = 117) and in a large CRC screening cohort. Results The pd-score accurately identified AA and CRC from healthy subjects with an area under the curve (AUC) of 0.958, at a specificity of 91.37%; the pd-score showed sensitivities of 95.38% for CRC and 70.83% for AA, respectively. In the external validation cohort, the sensitivities of the pd-score for CRC and AA detection were 94.03% and 80.00%, respectively. When applied in screening, the pd-score identified 100% (11/11) of CRC and 70.83% (17/24) of AA in participants with both colonoscopy results and qualified fecal samples, showing an improvement by 41.19% compared to FIT. Conclusions The current study developed a noninvasive and well-validated approach for AA and CRC detection, which could be applied widely as a diagnostic and screening test.