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Gong M, Xia T, Chen Z, Zhu Y. Comparison analysis of the burden and attributable risk factors of early-onset and late-onset colorectal cancer in China from 1990 to 2019. Eur J Cancer Prev 2024:00008469-990000000-00161. [PMID: 39150077 DOI: 10.1097/cej.0000000000000907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
OBJECTIVES The project intended to analyze the impact of burden and related risk factors of late-onset colorectal cancer (LOCRC) and early-onset colorectal cancer (EOCRC) in China, thus offering essential references for optimizing prevention and control strategies. METHOD Global Burden of Disease Study was employed to describe burden changes of EOCRC and LOCRC in China during 1990-2019, containing the numbers of incidence, deaths, prevalence, and disability-adjusted life years (DALYs), and to compare attributable deaths and DALYs risk factors in varying age and sex segments. RESULTS The numbers and corresponding crude rates of incidence, deaths, prevalence, and DALYs of EOCRC and LOCRC in China during 1990-2019 demonstrated an upward trend across all age categories, with males being dramatically predominant. Overall, over time, the impact of a low-calcium diet and a low-fiber diet on mortality and DALY rates decreased, while the impact of other risk factors increased. In terms of gender, the risk factors affecting males changed greatly, with smoking, inadequate milk intake, and the low whole-grain diet being the main factors in 2019, while in 1990, the main factors were the low-calcium diet, smoking, and inadequate milk intake. CONCLUSION The burden of colorectal cancer in China is concerning. Patients grouped by diagnostic age exhibit different characteristics, indicating the need for high-quality research in the future to achieve personalized medicine tailored to different population characteristics.
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Affiliation(s)
| | - Tian Xia
- Department of Colorectal Surgery
| | | | - Yuanyuan Zhu
- Department of Oncology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China
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2
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Wang Y, Xiao L, Pan Y. Predictive role of oxidative stress-related genes in colon cancer: a retrospective cohort study based on The Cancer Genome Atlas. Discov Oncol 2024; 15:332. [PMID: 39095620 PMCID: PMC11297001 DOI: 10.1007/s12672-024-01216-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 08/01/2024] [Indexed: 08/04/2024] Open
Abstract
PURPOSE This study aimed to elucidate the predictive role of an oxidative stress-related genes (OSRGs) model in colon cancer. MATERIALS AND METHODS First, OSRGs that were differentially expressed between tumor and normal tissues were identified using The Cancer Genome Atlas (TCGA)-(Colorectal Adenocarcinoma) COAD dataset. Then, Lasso COX regression was performed to develop an optimal prognostic model patients were stratified into high- and low-risk groups based on the expression patterns of these genes. The model's validity was confirmed through Kaplan-Meier survival curves and receiver operating characteristic curve (ROC) analysis. Additionally, enrichment analyses were performed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) to uncover underlying mechanisms. RESULTS A totally of 115 differentially expressed OSRGs were identified within the TCGA cohort, with 17 significantly linked to overall survival. These 17 genes were used to formulate a prognostic model that differentiated patients into distinct risk groups, with the high-risk group demonstrating a notably inferior overall survival rate. The risk score, when integrated with clinical and pathological data, emerged as an independent prognostic indicator of colon cancer. Further analyses revealed that the disparity in prognostic outcomes between risk groups could be attributed to the reactive oxygen species pathway and the p53 signaling pathway. CONCLUSION A new prediction model was established based on OSRGs. CYP19A1, NOL3 and UCN were found to be highly expressed in tumor tissues and substantial clinical predictive significance. These findings offer new insights into the role of oxidative stress in colon cancer.
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Affiliation(s)
- Yajie Wang
- Department of Gastrointestinal Surgery, Peking University First Hospital, 8 Xishku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Lin Xiao
- Department of Gastrointestinal Surgery, Peking University First Hospital, 8 Xishku Street, Xicheng District, Beijing, 100034, People's Republic of China
| | - Yisheng Pan
- Department of Gastrointestinal Surgery, Peking University First Hospital, 8 Xishku Street, Xicheng District, Beijing, 100034, People's Republic of China.
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Peng J, Xu H, Huang S, Shi X, Wang P, Chen Q, Zhang W, Shi L, Peng Y, Yuan F, Tang X. Comparison of the burden of digestive diseases between China and the United States from 1990 to 2019. Front Public Health 2024; 12:1376406. [PMID: 38827620 PMCID: PMC11140071 DOI: 10.3389/fpubh.2024.1376406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/06/2024] [Indexed: 06/04/2024] Open
Abstract
Introduction China has experienced unprecedented transformations unseen in a century and is gradually progressing toward an emerging superpower. The epidemiological trends of digestive diseases in the United States (the US) have significant prescient effects on China. Methods We extracted data on 18 digestive diseases from the Global Burden of Diseases 2019 Data Resource. Linear regression analysis conducted by the JoinPoint software assessed the average annual percentage change of the burden. We performed subgroup analyses based on sex and age group. Results In 2019, there were 836.01 and 180.91 million new cases of digestive diseases in China and the US, causing 1558.01 and 339.54 thousand deaths. The age-standardized incidence rates of digestive diseases in China and the US were 58417.87/100,000 and 55018.65/100,000 respectively, resulting in age-standardized mortality rates of 81.52/100,000 and 60.88/100,000. The rates in China annually decreased by 2.149% for mortality and 2.611% for disability-adjusted life of year (DALY). The mortality and DALY rates of the US, respectively, had average annual percentage changes of -0.219 and -0.251. Enteric infections and cirrhosis and other chronic liver diseases accounted for the highest incidence and prevalence in both counties, respectively. The burden of multiple digestive diseases exhibited notable sex disparities. The middle-old persons had higher age-standardized prevalence rates. Conclusion China bore a greater burden of digestive diseases, and the evolving patterns were more noticeable. Targeted interventions and urgent measures should be taken in both countries to address the specific burden of digestive diseases based on their different epidemic degree.
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Affiliation(s)
- Jieyu Peng
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Huan Xu
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Shu Huang
- Department of Gastroenterology, Lianshui County People’s Hospital, Huaian, China
- Department of Gastroenterology, Lianshui People’s Hospital of Kangda College Affiliated to Nanjing Medical University, Huaian, China
| | - Xiaomin Shi
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Ping Wang
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Qi Chen
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Wei Zhang
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Lei Shi
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Yan Peng
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Fangfang Yuan
- Department of Intensive Care Unit, The 3rd Xiangya Hospital, Central South University, Changsha, China
| | - Xiaowei Tang
- Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
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Xie Y, Li J, Tao Q, Wu Y, Liu Z, Zeng C, Chen Y. Identification of glutamine metabolism-related gene signature to predict colorectal cancer prognosis. J Cancer 2024; 15:3199-3214. [PMID: 38706895 PMCID: PMC11064262 DOI: 10.7150/jca.91687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/16/2024] [Indexed: 05/07/2024] Open
Abstract
Backgrounds: Colorectal cancer (CRC) is a highly malignant gastrointestinal malignancy with a poor prognosis, which imposes a significant burden on patients and healthcare providers globally. Previous studies have established that genes related to glutamine metabolism play a crucial role in the development of CRC. However, no studies have yet explored the prognostic significance of these genes in CRC. Methods: CRC patient data were downloaded from The Cancer Genome Atlas (TCGA), while glutamine metabolism-related genes were obtained from the Molecular Signatures Database (MSigDB) database. Univariate COX regression analysis and LASSO Cox regression were utilized to identify 15 glutamine metabolism-related genes associated with CRC prognosis. The risk scores were calculated and stratified into high-risk and low-risk groups based on the median risk score. The model's efficacy was assessed using Kaplan-Meier survival analysis and receiver operating characteristic (ROC) curve analysis. Cox regression analysis was employed to determine the risk score as an independent prognostic factor for CRC. Differential immune cell infiltration between the high-risk and low-risk groups was assessed using the ssGSEA method. The clinical applicability of the model was validated by constructing nomograms based on age, gender, clinical staging, and risk scores. Immunohistochemistry (IHC) was used to detect the expression levels of core genes. Results: We identified 15 genes related to glutamine metabolism in CRC: NLGN1, RIMKLB, UCN, CALB1, SYT4, WNT3A, NRCAM, LRFN4, PHGDH, GRM1, CBLN1, NRG1, GLYATL1, CBLN2, and VWC2. Compared to the high-risk group, the low-risk group demonstrated longer overall survival (OS) for CRC. Clinical correlation analysis revealed a positive correlation between the risk score and the clinical stage and TNM stage of CRC. Immune correlation analysis indicated a predominance of Th2 cells in the low-risk group. The nomogram exhibited excellent discriminatory ability for OS in CRC. Immunohistochemistry revealed that the core gene CBLN1 was expressed at a lower level in CRC, while GLYATL1 was expressed at a higher level. Conclusions: In summary, we have successfully identified and comprehensively analyzed a gene signature associated with glutamine metabolism in CRC for the first time. This gene signature consistently and reliably predicts the prognosis of CRC patients, indicating its potential as a metabolic target for individuals with CRC.
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Affiliation(s)
- Yang Xie
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
| | - Jun Li
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
| | - Qing Tao
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
| | - Yonghui Wu
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
| | - Zide Liu
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
| | - Chunyan Zeng
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi, China
| | - Youxiang Chen
- Department of Gastroenterology, digestive disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi, China
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5
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Wei P, Han W, Zhang Z, Tian X, Yang C, Wang Q, Xie W, Liu Y, Gao Y, Chang H. Microbiota in colorectal cancer related to liver metastasis. Chin J Cancer Res 2024; 36:17-24. [PMID: 38455371 PMCID: PMC10915638 DOI: 10.21147/j.issn.1000-9604.2024.01.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/22/2024] [Indexed: 03/09/2024] Open
Abstract
The prevalence of colorectal cancer (CRC) is increasing annually and metastasis is the principal cause of death in patients with CRC, with the liver being the most frequently affected site. Many studies have shown a strong interplay between the gut flora, particularly Fusobacterium nucleatum (F. nucleatum), Escherichia coli, and Bacteroides fragilis, and the development of gut tumors. Some strains can induce gut inflammation and produce toxins that directly harm gut epithelial cells, ultimately accelerating the onset and progression of CRC. However, little clinical evidence exists on the specific interplay between the gut microflora and colorectal cancer liver metastasis (CRLM). Some research showed the existence of viable F. nucleatum in distant metastasis of CRC. Subsequently, gut microbiota products, such as lipopolysaccharides, sodium butyrate, and protein cathepsin K, were also found to affect the development of CRC. This article summarizes the mechanism and research status of the interplay between gut microflora and CRLM, discusses the importance of gut microflora in the treatment of CRLM, and proposes a new approach to understanding the mechanism of CRLM and potential treatments for the microbiome. It is anticipated that the gut microbiota will be a formidable therapeutic and prophylactic tool for treating and preventing CRLM.
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Affiliation(s)
- Peijun Wei
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Weiming Han
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Zitong Zhang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xue Tian
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Chen Yang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Qiaoxuan Wang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Weihao Xie
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
- Department of Pediatric Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
| | - Ying Liu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yuanhong Gao
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Hui Chang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangzhou 510060, China
- Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China
- Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Peng W, Feng Y, Yao C, Zhang S, Zhuo H, Qiu T, Zhang Y, Tang J, Gu Y, Sun Y. Evaluating AI in medicine: a comparative analysis of expert and ChatGPT responses to colorectal cancer questions. Sci Rep 2024; 14:2840. [PMID: 38310152 PMCID: PMC10838275 DOI: 10.1038/s41598-024-52853-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 01/24/2024] [Indexed: 02/05/2024] Open
Abstract
Colorectal cancer (CRC) is a global health challenge, and patient education plays a crucial role in its early detection and treatment. Despite progress in AI technology, as exemplified by transformer-like models such as ChatGPT, there remains a lack of in-depth understanding of their efficacy for medical purposes. We aimed to assess the proficiency of ChatGPT in the field of popular science, specifically in answering questions related to CRC diagnosis and treatment, using the book "Colorectal Cancer: Your Questions Answered" as a reference. In general, 131 valid questions from the book were manually input into ChatGPT. Responses were evaluated by clinical physicians in the relevant fields based on comprehensiveness and accuracy of information, and scores were standardized for comparison. Not surprisingly, ChatGPT showed high reproducibility in its responses, with high uniformity in comprehensiveness, accuracy, and final scores. However, the mean scores of ChatGPT's responses were significantly lower than the benchmarks, indicating it has not reached an expert level of competence in CRC. While it could provide accurate information, it lacked in comprehensiveness. Notably, ChatGPT performed well in domains of radiation therapy, interventional therapy, stoma care, venous care, and pain control, almost rivaling the benchmarks, but fell short in basic information, surgery, and internal medicine domains. While ChatGPT demonstrated promise in specific domains, its general efficiency in providing CRC information falls short of expert standards, indicating the need for further advancements and improvements in AI technology for patient education in healthcare.
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Affiliation(s)
- Wen Peng
- Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Yifei Feng
- Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Cui Yao
- Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Sheng Zhang
- Department of Radiotherapy, The First Affiliated Hospital with Nanjing Medical University, Nanjing, People's Republic of China
| | - Han Zhuo
- Department of Intervention, The First Affiliated Hospital with Nanjing Medical University, Nanjing, People's Republic of China
| | - Tianzhu Qiu
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, People's Republic of China
| | - Yi Zhang
- Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Junwei Tang
- Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
| | - Yanhong Gu
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, People's Republic of China.
| | - Yueming Sun
- Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
- The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
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Yang Y, Gao Z, Huang A, Shi J, Sun Z, Hong H, Gu J. Epidemiology and early screening strategies for colorectal cancer in China. Chin J Cancer Res 2023; 35:606-617. [PMID: 38204448 PMCID: PMC10774140 DOI: 10.21147/j.issn.1000-9604.2023.06.05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024] Open
Abstract
China ranks the first worldwide in the number of new colorectal cancer (CRC) cases and CRC-related deaths. The increasing incidence of early-onset CRC in recent years highlights the challenges related to CRC screening and prevention. High-quality colonoscopy is the universally used gold standard for CRC screening. Risk assessment combined with a two-step screening strategy based on colonoscopy and non-invasive examinations was proven to be highly effective. However, systematic use of well-established risk factors associated with CRC, beyond age, could better identify those who might harbor advanced colorectal neoplasia, improve the diagnostic yield of current screening modalities, and optimize the selection of individuals who might benefit most from preventive strategies. "Personalization" and "Standardization" are the future development directions of CRC screening, from the initiation of screening in those at high risk for CRC to follow-up after treatment, which are the key to ensure the screening efficiency.
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Affiliation(s)
- Yong Yang
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing 100144, China
| | - Zhaoya Gao
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing 100144, China
| | - An Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jingyi Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhuang Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Haopeng Hong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jin Gu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing 100144, China
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
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8
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Feng CH, Zhang Q, Chen J, Mao LQ, Sun Q, He Y, Yao LH. Factors influencing age at onset of colorectal polyps and benefit-finding after polypectomy. Medicine (Baltimore) 2023; 102:e35336. [PMID: 37773792 PMCID: PMC10545222 DOI: 10.1097/md.0000000000035336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/31/2023] [Indexed: 10/01/2023] Open
Abstract
Screening, followed by colonoscopic polypectomy, has been widely performed in China. However, factors influencing age at onset of colorectal polyps and benefit-finding after polypectomy have been insufficiently studied or ignored. A total of 152 patients with colorectal polyps first detected in First Affiliated Hospital of Huzhou University from July to September 2022 were enrolled in this study. We selected 11 factors associated with the risk of colorectal polyps, including gender, body mass index, occupational stress, education level, income satisfaction, smoking, alcohol consumption, exercise frequency, diet, family history and polyp characteristics. Benefit-finding after polypectomy was obtained by follow-up for 142 of these patients. Multivariate linear regression analysis showed that being overweight (i.e., body mass index ≥25 kg/m2), higher education level, lower exercise frequency, and refrigerated food preference were associated with early-onset colorectal polyps. Patients with a preference for pickled food and age ≥50 years at first colorectal polyp detection had lower benefit findings after colonoscopic polypectomy. Colorectal polyps may develop earlier in people who are overweight, well-educated, exercise less, and prefer refrigerated food. In addition, patients who prefer pickled food and age at onset ≥50 years have lower benefit-finding requiring more attention in future colonoscopy follow-ups.
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Affiliation(s)
- Chen-Hong Feng
- Department of Gastroenterology, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, P.R. China
| | - Qing Zhang
- Department of Gastroenterology, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, P.R. China
| | - Juan Chen
- Department of Gastroenterology, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, P.R. China
| | - Li-Qi Mao
- Department of Gastroenterology, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, P.R. China
| | - Qian Sun
- Department of Gastroenterology, People’s Hospital of Wuxing District, Wuxing Branch of the First People’s Hospital of Huzhou, Huzhou, P.R. China
| | - Ying He
- Central Laboratory, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, P.R. China
| | - Lin-Hua Yao
- Department of Gastroenterology, The First People’s Hospital of Huzhou, First Affiliated Hospital of Huzhou University, Huzhou, P.R. China
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9
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Li Q, Yu M, Lv H, Zhang L, Deng Y, Yu H. Burden of early-onset colorectal cancer along with attributable risk factors from 1990 to 2019: a comparative study between China and other G20 countries. BMC Public Health 2023; 23:1463. [PMID: 37525147 PMCID: PMC10391986 DOI: 10.1186/s12889-023-16407-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 07/27/2023] [Indexed: 08/02/2023] Open
Abstract
PURPOSE The credible data about the burden of early-onset colorectal cancer (EOCRC) in China when compared to other countries in the group of twenty (G20) remained unavailable. We aimed to assess the burden and trends of EOCRC and attributable risk factors in China. Meanwhile, the comparison in the burden and attributable risk factors between China and other G20 countries was also evaluated. METHODS Data on the incidence, prevalence, mortality, disability-adjusted life years (DALYs), and attributable risk factors of EOCRC in China were obtained from Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 and compared with other G20countries. Temporal trends of age-standardized rates for incidence, prevalence, mortality, and DALYs were evaluated by estimated annual percentage change (EAPC). The autoregressive integrated moving average (ARIMA) model was used to forecast the incidence, mortality, and DALY rates of EOCRC in China from 2020 to 2029. RESULTS From 1990 to 2019, the age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR) of EOCRC in China increased with the EAPCs of 4.61 [95% confidence interval (CI): 4.45-4.77] and 5.82 (95% CI: 5.60-6.05). When compared to G20 countries, China was ranked 13th in the ASIR in 1990 and then increased to 2nd in 2019, second only to Japan. The ASPRs increased in all G20 countries, being highest in Saudi Arabia, followed by China and Mexico. Moreover, China had the highest age-standardized mortality rate and highest age-standardized DALY rate in 2019. In China, the five leading risk factors, for both sexes, were diet low in milk [18.54% (95% UI: 12.71-24.07)], diet low in calcium [15.06% (95% UI: 10.70-20.03)], alcohol use [12.16% (95% UI: 8.87-15.64)], smoking [9.08% (95% UI: 3.39-14.11)], and diet high in red meat [9.08% (95% UI: 3.39-14.11)] in 2019. Over the next 10 years, ASIR, ASMR, and age-standardized DALY rate of EOCRC will increase continuously in males and females. CONCLUSION The burden of EOCRC in China and other G20 countries is worrisome, indicating that coordinated efforts are needed to conduct high-quality researches, allocate medical resources, adjust screening guidelines, and develop effective treatment and prevention strategies in the G20 countries.
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Affiliation(s)
- Quanhui Li
- Department of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247 Beiyuan Road, Jinan, Shandong Province, 250000, China
| | - Miao Yu
- Department of Colorectal and Anal Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247 Beiyuan Road, Jinan, Shandong Province, 250000, China
| | - Haiguang Lv
- Department of Clinical Laboratory, Second Affiliated Hospital of Shandong First Medical University, No.706 Taishan Road, Tai'an, Shandong Province, 271000, China
| | - Le Zhang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, No.6699 Qingdao Road, Jinan, Shandong Province, 250000, China
| | - Yang Deng
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, No.6699 Qingdao Road, Jinan, Shandong Province, 250000, China
| | - Hualong Yu
- Department of Colorectal and Anal Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, No.247 Beiyuan Road, Jinan, Shandong Province, 250000, China.
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