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| ID | Type | Description | Link |
|---|---|---|---|
| Lishui Key R&D Project | Other Identifier | Lishui Central Hospital |
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This project will establish a cohort related to stroke and tumors, with 4500 subjects selected from the 30-80-year-old urban-rural integrated population in Lishui City, covering both urban and rural residents in the urban-rural junction area of the region. This population, with diverse living habits and uneven access to medical resources, is a key group for the prevention and control of stroke and tumors, and its selection can reflect the epidemiological characteristics of the two diseases in Lishui.
To achieve the research goal, the subjects will be randomly divided into three groups for targeted detection, with specific schemes as follows:
Group A: Magnetic Resonance (MR) examination (focusing on the head and neck to identify cerebrovascular and tissue abnormalities) and methylation pan-cancer detection (non-invasive and high-sensitivity, used to screen for early methylation abnormal changes of tumor-related genes).
Group B: Methylation pan-cancer detection (consistent with Group A), Transcranial Doppler (TCD) examination (for intracranial hemodynamic monitoring), cervical ultrasound (for assessing cervical artery conditions), and Vibration-Controlled Transient Elastography (VCTE) examination (for detecting liver elasticity).
Group C: Physiological age methylation detection (evaluating the real physiological aging state through the methylation level of age-related CpG sites) and VCTE examination (consistent with Group B) to supplement liver function-related detection.
The core purpose of this project is to explore the three-dimensional distribution (time, place, and population distribution) of stroke and tumors in this population. Time distribution aims to explore the variation rules of incidence rates across different seasons, years, and age stages; regional distribution aims to analyze the differences in incidence rates among different urban-rural junctions and their correlation with environmental and medical resource factors; population distribution aims to identify high-risk groups by analyzing the differences in incidence rates among different genders, ages, living habits, and physiological aging states.
In addition, this project will clarify the correlation between each detection indicator and the two diseases, improve the construction of biological sample banks and databases, provide a scientific basis for establishing a community-hospital linked intervention system, thereby improving the early detection rate and intervention rate of diseases and protecting the health of residents
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cerebrovascular group | Participants in the cerebrovascular group receive head and neck magnetic resonance (MR) examination, transcranial Doppler (TCD) and cervical ultrasound. These examinations are used to screen cerebrovascular structural lesions, intracranial hemodynamic disorders and cervical atherosclerotic plaques, so as to identify early risk factors for stroke and cerebrovascular diseases. | ||
| Tumor Group | The tumor group undergoes methylation pan-cancer detection. This non-invasive and high-sensitivity assay is applied to screen aberrant methylation of tumor-related genes, covering ten common cancers including cervical cancer, esophageal cancer, lung squamous cell carcinoma, prostate cancer, liver cancer, lung adenocarcinoma, colon cancer, rectal cancer, gastric cancer and pancreatic cancer, enabling early identification of potential malignant tumor risk in the population. | ||
| Epigenetic Age Group | The epigenetic age group accepts physiological age methylation detection combined with Vibration-Controlled Transient Elastography (VCTE). Methylation profiling of age-related CpG sites is used to evaluate individual physiological aging status, while VCTE is supplemented to assess liver elasticity and related metabolic characteristics. |
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| Measure | Description | Time Frame |
|---|---|---|
| Prevalence rate of stroke and tumors | A blood-based methylation pan-cancer assay was performed to screen for ten common malignancies, including cervical cancer, esophageal cancer, lung squamous cell carcinoma, prostate cancer, liver cancer, lung adenocarcinoma, colon cancer, rectal cancer, gastric cancer, and pancreatic cancer. The prevalence of each cancer type was calculated as the number of confirmed positive cases divided by the total number of participants screened. | From enrollment to the end of the 10-year follow-up period |
| Measure | Description | Time Frame |
|---|---|---|
| Unilateral carotid artery stenosis rate | The degree of cervical vascular stenosis was detected and evaluated. The distribution of unilateral carotid artery stenosis rate (defined as stenosis degree >50%) was analyzed, which was calculated as the number of participants with carotid stenosis greater than 50% divided by the total screened population. | From enrollment to the end of the 10-year follow-up period |
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Inclusion Criteria:
Exclusion Criteria:
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The study population consists of 4,500 participants aged 30-80 years recruited from 10 urban and 10 rural sites in Lishui City using a cluster sampling method. Participants are randomly divided into three equal groups of 1,500 each, receiving different examination protocols. The collected data are further analyzed and grouped into cerebrovascular, tumor, and epigenetic age categories based on the respective test results.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jingping Sun, PhD | Contact | 86-18504713450 | lszxyysunjingping@yeah.net |
| Name | Affiliation | Role |
|---|---|---|
| Jiansong Ji, PhD | The Central Hospital of Lishui City | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Lishui Central Hospital | Recruiting | Lishui | Zhejiang | 323000 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41097065 | Background | Pacinella G, Bona MM, Todaro F, Ciaccio AM, Daidone M, Tuttolomondo A. Tracing Inflammation in Ischemic Stroke: Biomarkers and Clinical Insight. Int J Mol Sci. 2025 Oct 8;26(19):9801. doi: 10.3390/ijms26199801. | |
| 37788912 | Background | Wang J, Li Y, Qi L, Mamtilahun M, Liu C, Liu Z, Shi R, Wu S, Yang GY. Advanced rehabilitation in ischaemic stroke research. Stroke Vasc Neurol. 2024 Aug 27;9(4):328-343. doi: 10.1136/svn-2022-002285. |
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The individual participant data (IPD) for this study will not be shared publicly due to concerns regarding participant privacy, data security, and the lack of an established data sharing agreement and platform. All data are stored and managed in accordance with applicable data protection regulations and institutional policies.
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| ID | Term |
|---|---|
| D000083242 | Ischemic Stroke |
| D002908 | Chronic Disease |
| D016893 | Carotid Stenosis |
| D008103 | Liver Cirrhosis |
| ID | Term |
|---|---|
| D020521 | Stroke |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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Peripheral venous blood samples will be collected from participants and separated into serum, plasma, and leukocyte components. The leukocyte fraction will be used for DNA extraction and subsequent methylation molecular analysis. All samples will be stored in a dedicated biobank at Lishui Central Hospital.
| 32998014 | Background | Tao T, Liu M, Chen M, Luo Y, Wang C, Xu T, Jiang Y, Guo Y, Zhang JH. Natural medicine in neuroprotection for ischemic stroke: Challenges and prospective. Pharmacol Ther. 2020 Dec;216:107695. doi: 10.1016/j.pharmthera.2020.107695. Epub 2020 Sep 28. |
| 39087353 | Background | Zhao D, Guallar E, Qiao Y, Knopman DS, Palatino M, Gottesman RF, Mosley TH Jr, Wasserman BA. Intracranial Atherosclerotic Disease and Incident Dementia: The ARIC Study (Atherosclerosis Risk in Communities). Circulation. 2024 Sep 10;150(11):838-847. doi: 10.1161/CIRCULATIONAHA.123.067003. Epub 2024 Aug 1. |
| 21458665 | Background | Gilbertson RJ. Mapping cancer origins. Cell. 2011 Apr 1;145(1):25-9. doi: 10.1016/j.cell.2011.03.019. |
| 39125710 | Background | Paleari L. Personalized Assessment for Cancer Prevention, Detection, and Treatment. Int J Mol Sci. 2024 Jul 26;25(15):8140. doi: 10.3390/ijms25158140. |
| 26667886 | Background | Torre LA, Siegel RL, Ward EM, Jemal A. Global Cancer Incidence and Mortality Rates and Trends--An Update. Cancer Epidemiol Biomarkers Prev. 2016 Jan;25(1):16-27. doi: 10.1158/1055-9965.EPI-15-0578. Epub 2015 Dec 14. |
| 28052979 | Background | Wang W, Jiang B, Sun H, Ru X, Sun D, Wang L, Wang L, Jiang Y, Li Y, Wang Y, Chen Z, Wu S, Zhang Y, Wang D, Wang Y, Feigin VL; NESS-China Investigators. Prevalence, Incidence, and Mortality of Stroke in China: Results from a Nationwide Population-Based Survey of 480 687 Adults. Circulation. 2017 Feb 21;135(8):759-771. doi: 10.1161/CIRCULATIONAHA.116.025250. Epub 2017 Jan 4. |
| 31327392 | Background | Hachinski V, Einhaupl K, Ganten D, Alladi S, Brayne C, Stephan BCM, Sweeney MD, Zlokovic B, Iturria-Medina Y, Iadecola C, Nishimura N, Schaffer CB, Whitehead SN, Black SE, Ostergaard L, Wardlaw J, Greenberg S, Friberg L, Norrving B, Rowe B, Joanette Y, Hacke W, Kuller L, Dichgans M, Endres M, Khachaturian ZS. Preventing dementia by preventing stroke: The Berlin Manifesto. Alzheimers Dement. 2019 Jul;15(7):961-984. doi: 10.1016/j.jalz.2019.06.001. |
| 26151265 | Background | Levine DA, Galecki AT, Langa KM, Unverzagt FW, Kabeto MU, Giordani B, Wadley VG. Trajectory of Cognitive Decline After Incident Stroke. JAMA. 2015 Jul 7;314(1):41-51. doi: 10.1001/jama.2015.6968. |
| 31302669 | Background | Lourida I, Hannon E, Littlejohns TJ, Langa KM, Hypponen E, Kuzma E, Llewellyn DJ. Association of Lifestyle and Genetic Risk With Incidence of Dementia. JAMA. 2019 Aug 6;322(5):430-437. doi: 10.1001/jama.2019.9879. |
| 30879893 | Background | GBD 2016 Neurology Collaborators. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019 May;18(5):459-480. doi: 10.1016/S1474-4422(18)30499-X. Epub 2019 Mar 14. |
| 30496103 | Background | GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1736-1788. doi: 10.1016/S0140-6736(18)32203-7. Epub 2018 Nov 8. |
| 34878154 | Background | Zhao Y, Zhang X, Chen X, Wei Y. Neuronal injuries in cerebral infarction and ischemic stroke: From mechanisms to treatment (Review). Int J Mol Med. 2022 Feb;49(2):15. doi: 10.3892/ijmm.2021.5070. Epub 2021 Dec 8. |
| 32863279 | Background | Pan Y, Jing J, Cai X, Wang Y, Wang S, Meng X, Zeng C, Shi J, Ji J, Lin J, Lyu L, Zhang Z, Mei L, Li S, Li S, Zhu W, Li H, Wei T, Wang Y. PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE)-a population-based prospective cohort study: rationale, design and baseline participant characteristics. Stroke Vasc Neurol. 2021 Mar;6(1):145-151. doi: 10.1136/svn-2020-000411. Epub 2020 Aug 30. |
| D009422 |
| Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D002340 | Carotid Artery Diseases |
| D001157 | Arterial Occlusive Diseases |
| D008107 | Liver Diseases |
| D004066 | Digestive System Diseases |
| D005355 | Fibrosis |