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A fecal-based test for the detection of advanced adenoma and colorectal cancer: a case-control and screening cohort study.
Cao, Lian-Jing; Peng, Xiao-Lin; Xue, Wen-Qiong; Zhang, Rong; Zhang, Jiang-Bo; Zhou, Ting; Wu, Zi-Yi; Li, Gai-Rui; Wang, Tong-Min; He, Yong-Qiao; Yang, Da-Wei; Liao, Ying; Tong, Xia-Ting; Wang, Fang; Chen, Ke-Xin; Zhang, Shi-Hong; Zhu, Li-Qing; Ding, Pei-Rong; Jia, Wei-Hua.
Afiliação
  • Cao LJ; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Peng XL; Department of Radiation Oncology, Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China.
  • Xue WQ; Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
  • Zhang R; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Zhang JB; Department of Endoscopy and Laser, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China.
  • Zhou T; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Wu ZY; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Li GR; Biobank of Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Wang TM; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • He YQ; Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
  • Yang DW; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Liao Y; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Tong XT; School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Wang F; State Key Laboratory of Oncology in South China Guangzhou, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Chen KX; School of Public Health, Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Zhang SH; Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.
  • Zhu LQ; 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, Tianjin, Peopl
  • Ding PR; Department of Laboratory Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Jia WH; Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, People's Republic of China.
BMC Med ; 19(1): 250, 2021 10 25.
Article em En | MEDLINE | ID: mdl-34689777
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Adenoma Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Adenoma Idioma: En Ano de publicação: 2021 Tipo de documento: Article