[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-427546-105":59,"doc-detail-427546-en":134},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":127,"head_meta":129,"extra_data":131,"updated_unix":133},105,"en","senmayo-based-aging-signature-sen-age-in-cancer-survivors-analyzing-aging-biomarker-and-4-year-mortality","SENMAYO BASED AGING SIGNATURE (SEN-AGE) IN CANCER SURVIVORS - Analyzing Aging Biomarker and 4-Year Mortality","","SENMAYO gene set signatures for senescent cells were used to build a Sen-Age aging signature in the Health and Retirement Study (HRS) cohort. Using 2016 blood-based measurements of 125 SenMayo genes, Lasso regression selected 97 genes to model chronological age in controls. In 609 cancer survivors, Sen-Age correlated with age (r=0.46). Cox proportional hazards analyses assessed 4-year mortality (N=112), adjusting for age, sex, and race, then additional factors (education, smoking, BMI, inflammation, comorbidities). Sen-Age predicted higher mortality risk and stronger robustness after adjustment.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/senmayo-based-aging-signature-sen-age-in-cancer-survivors-analyzing-aging-biomarker-and-4-year-mortality/427546/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/senmayo-based-aging-signature-sen-age-in-cancer-survivors-analyzing-aging-biomarker-and-4-year-mortality/427546.png","ImageObject",300,407,{"name":92,"@type":93},"Aurelia","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-17","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What is the Sen-Age signature and how is it derived?","Question",{"text":112,"@type":113},"Sen-Age is an aging signature built from SenMayo gene-set measurements. Lasso regression selected 97 genes from 2016 control participants to model chronological age.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does Sen-Age relate to chronological age in cancer survivors?",{"text":117,"@type":113},"In 609 cancer survivors, Sen-Age showed a correlation of 0.46 with chronological age.",{"name":119,"@type":110,"acceptedAnswer":120},"Does Sen-Age predict 4-year mortality among cancer survivors?",{"text":121,"@type":113},"Yes. Sen-Age was associated with increased 4-year mortality risk in cancer survivors (HR 1.47, p=0.0008), and the association remained robust after additional adjustment (HR 1.31, p=0.02).",{"name":123,"@type":110,"acceptedAnswer":124},"What does the study conclude about Sen-Age as a biomarker?",{"text":125,"@type":113},"The findings support Sen-Age as a potential biomarker of aging and mortality risk in cancer survivors.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},427546,1790791834,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":143,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":67,"update_tm":147,"read_time":81},1099514068365,"https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068","Innovation in Aging, 2025, Vol. 9, No. S2 877  \nAbstract citation ID: igaf122.2967  \nSENMAYO BASED AGING SIGNATURE (SEN-AGE) IN CANCER SURVIVORS: THE HEALTH AND  \nRETIREMENT STUDY (HRS)  \nGokul Seshadri, Shuo Wang, Weihua Guan,  \nBharat Thyagarajan, and Anna Prizment, University of Minnesota, Minneapolis, Minnesota, United States  \nThe SenMayo gene set identifies senescent cells, one of the hallmarks of aging, especially among those with cancer. In the HRS cohort, we constructed a SenMayo based aging signature (Sen-Age) among those without cancer (controls) and examined its association with 4-year mortality in cancer survivors. In the 2016 wave, HRS measured 125 SenMayo genes in blood samples. We applied Lasso regression to participants without cancer in 2016 (N = 3076) and trained SenMayo genes against chronological age; this resulted in a subset of 97 genes with which we created Sen-Age. This Sen-Age signature demonstrated a correlation of 0.46 with chronological age in 609 cancer survivors. We then examined the associations of Sen-Age with 4-year mortality (N = 112) in cancer survivors using Cox Proportional Hazards regression model after adjusting for age, sex, and race. Sen-Age was associated with increased risk of mortality in cancer survivors (HR: 1.47 [1.17–1.85] per 1 year, p = 0.0008) . This associ  \nation remained robust (HR: 1.31 [1.04–1.66], p = 0.02) upon additional adjustment for education level, smoking status, BMI, inflammation and comorbidities. Moreover, cancer survivors have higher Sen-Age score (adj mean: -0.44 ) than non-cancer  \ncontrols (adj mean: -0.83) . Overall, our findings highlight the potential of the Sen-Age signature as a biomarker of aging and mortality in cancer survivors.","cbCailOlZagDSrCa","https://ap.wps.com/l/cbCailOlZagDSrCa","pdf",59382,"English","# Background\n# Data and Model Construction\n## Gene selection and Sen-Age training\n# Association Analyses\n## Correlation with chronological age\n## Mortality prediction with Cox regression\n# Robustness Checks and Interpretation","[{\"question\":\"What is the Sen-Age signature and how is it derived?\",\"answer\":\"Sen-Age is an aging signature built from SenMayo gene-set measurements. Lasso regression selected 97 genes from 2016 control participants to model chronological age.\"},{\"question\":\"How does Sen-Age relate to chronological age in cancer survivors?\",\"answer\":\"In 609 cancer survivors, Sen-Age showed a correlation of 0.46 with chronological age.\"},{\"question\":\"Does Sen-Age predict 4-year mortality among cancer survivors?\",\"answer\":\"Yes. Sen-Age was associated with increased 4-year mortality risk in cancer survivors (HR 1.47, p=0.0008), and the association remained robust after additional adjustment (HR 1.31, p=0.02).\"},{\"question\":\"What does the study conclude about Sen-Age as a biomarker?\",\"answer\":\"The findings support Sen-Age as a potential biomarker of aging and mortality risk in cancer survivors.\"}]","SENMAYO BASED AGING SIGNATURE (SEN-AGE) IN CANCER SURVIVORS - Analyzing Aging Biomarker and 4-Year Mortality | PDF",1790644174]