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Li JB, Qiu ZY, Deng YX, Li Y, Lin ZC, Wu YP, Weng F, Tian H, Ou QJ, Gong CH, Pan ZZ, Wan DS, Peng JH, Fang YJ. Factors associated with positive predictive value of preliminary screening in a two-step screening strategy for colorectal neoplasms in China. Discov Oncol 2022; 13:4. [PMID: 35201502 PMCID: PMC8777551 DOI: 10.1007/s12672-022-00463-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 12/07/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The positive predictive value (PPV) of high risk factor questionnaire (HRFQ) plus fecal immunochemical test (FIT) as preliminary screening strategy for colorectal-related neoplasia is relatively low. We aim to explore independent factors associated with PPVs of HRFQ combined FIT for selecting high risk individuals for colonoscopy. METHODS A total of 6971 residents were enrolled in a community-based screening program. Participants who had positive results of HRFQ and/or FIT and subsequently received colonoscopy were involved. The associations of socio-demographic factors, lifestyle behaviors, and high risk factors of colorectal cancer with PPVs of HRFQ, FIT, and their combination were evaluated by multivariable logistic regression models. RESULTS Among 572 involved cases, 249 (43.5%) colorectal neoplasms were detected by colonoscopy, including 71 advanced adenoma (12.4%) and 9 colorectal cancer (CRC) (1.6%). The PPVs of preliminary screening were 43.5% for total colorectal neoplasms, 14.0% for advanced neoplasm, and 1.6% for CRC. Adding positive HRFQ to FIT could improve the PPV from 3.5 to 8.0% for detecting CRC. Preliminarily screened positive individuals who were males [adjusted odds ratio (AOR): 1.95, 95% CI 1.31, 2.90; p < 0.001], elders (> 60 years) (AOR: 1.70, 95% CI 1.17, 2.46; p = 0.005), or ex-/current smokers (AOR: 3.04, 95% CI 1.31, 7.09; p = 0.10) had higher odds of PPVs of detecting colorectal neoplasms. CONCLUSIONS Combining HRFQ and FIT could largely improve PPVs for screening advanced neoplasm and CRC. Gender and age-specific FIT cut-off values as well as initiating ages for CRC screening might be recommended to improve the accuracy and effectiveness of current screening algorithm.
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Affiliation(s)
- Ji-Bin Li
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - Zhi-Yu Qiu
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - Yu-Xiang Deng
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - Yin Li
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - Zhuo-Chen Lin
- Department of Medical Records, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510060, People's Republic of China
| | - Yan-Ping Wu
- Yuexiu District Center for Disease Control and Prevention, Guangzhou, 510055, People's Republic of China
| | - Fan Weng
- Yuexiu District Center for Disease Control and Prevention, Guangzhou, 510055, People's Republic of China
| | - Huan Tian
- Dadong Street Community Health Service Center, Guangzhou, 510000, People's Republic of China
| | - Qing-Jian Ou
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - Cheng-Hua Gong
- Yuexiu District Center for Disease Control and Prevention, Guangzhou, 510055, People's Republic of China
| | - Zhi-Zhong Pan
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - De-Sen Wan
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China
| | - Jian-Hong Peng
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China.
| | - Yu-Jing Fang
- Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, People's Republic of China.
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Salivary Carbohydrate-Deficient Transferrin in Alcohol- and Nicotine-Dependent Males. J Clin Med 2020; 9:jcm9124054. [PMID: 33334005 PMCID: PMC7765464 DOI: 10.3390/jcm9124054] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 12/05/2020] [Accepted: 12/14/2020] [Indexed: 11/26/2022] Open
Abstract
Serum carbohydrate-deficient transferrin (CDT), an 80 kDa glycoprotein, is one of the most commonly employed biomarkers to detect alcohol dependence. Some salivary glycoproteins such as α-amylase, clusterin, haptoglobin, light/heavy-chain immunoglobulin, and transferrin, which alter glycosylation in alcohol-dependent persons, have been suggested to be potential alcohol markers. However, their identification is based on indirect analysis of lectin glycosidic bonds and molecular weight. We investigated the CDT content in the saliva of alcohol- and nicotine-dependent men. The CDT concentration (ng/mL, ng/mg protein) was determined by an Enzyme-Linked Immunosorbent Assay (ELISA) commercial kit in 55 men: 20 healthy social drinkers (C), 10 chronic cigarette smokers (S), 10 alcohol-dependent non-smokers (A), and 15 alcohol-dependent smokers (AS). Surprisingly, there were no differences in the concentrations of CDT between the studied groups. Salivary pH was the lowest in the AS and the highest in the A group. Therefore, salivary CDT cannot be used as an alcohol dependence marker as measured by ELISA. We suggest that direct identification of glycoproteins is necessary to search for potential salivary alcohol biomarkers. Molecules smaller than 40 kDa, which easily translocate from blood to the saliva, might be preferred as salivary alcohol markers.
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