Literature DB >> 34351358

Applying a Life Course Biological Age Framework to Improving the Care of Individuals With Adult Cancers: Review and Research Recommendations.

Jeanne S Mandelblatt1,2, Tim A Ahles3, Marc E Lippman2,4, Claudine Isaacs2,4, Lucile Adams-Campbell1, Andrew J Saykin5, Harvey J Cohen6, Judith Carroll7.   

Abstract

IMPORTANCE: The practice of oncology will increasingly involve the care of a growing population of individuals with midlife and late-life cancers. Managing cancer in these individuals is complex, based on differences in biological age at diagnosis. Biological age is a measure of accumulated life course damage to biological systems, loss of reserve, and vulnerability to functional deterioration and death. Biological age is important because it affects the ability to manage the rigors of cancer therapy, survivors' function, and cancer progression. However, biological age is not always clinically apparent. This review presents a conceptual framework of life course biological aging, summarizes candidate measures, and describes a research agenda to facilitate clinical translation to oncology practice. OBSERVATIONS: Midlife and late-life cancers are chronic diseases that may arise from cumulative patterns of biological aging occurring over the life course. Before diagnosis, each new patient was on a distinct course of biological aging related to past exposures, life experiences, genetics, and noncancer chronic disease. Cancer and its treatments may also be associated with biological aging. Several measures of biological age, including p16INK4a, epigenetic age, telomere length, and inflammatory and body composition markers, have been used in oncology research. One or more of these measures may be useful in cancer care, either alone or in combination with clinical history and geriatric assessments. However, further research will be needed before biological age assessment can be recommended in routine practice, including determination of situations in which knowledge about biological age would change treatment, ascertaining whether treatment effects on biological aging are short-lived or persistent, and testing interventions to modify biological age, decrease treatment toxic effects, and maintain functional abilities. CONCLUSIONS AND RELEVANCE: Understanding differences in biological aging could ultimately allow clinicians to better personalize treatment and supportive care, develop tailored survivorship care plans, and prescribe preventive or ameliorative therapies and behaviors informed by aging mechanisms.

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Year:  2021        PMID: 34351358      PMCID: PMC8602673          DOI: 10.1001/jamaoncol.2021.1160

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  73 in total

Review 1.  Exercise attenuates the major hallmarks of aging.

Authors:  Nuria Garatachea; Helios Pareja-Galeano; Fabian Sanchis-Gomar; Alejandro Santos-Lozano; Carmen Fiuza-Luces; María Morán; Enzo Emanuele; Michael J Joyner; Alejandro Lucia
Journal:  Rejuvenation Res       Date:  2015-02       Impact factor: 4.663

Review 2.  Psychosocial Stressors and Telomere Length: A Current Review of the Science.

Authors:  Kelly E Rentscher; Judith E Carroll; Colter Mitchell
Journal:  Annu Rev Public Health       Date:  2020-01-03       Impact factor: 21.981

3.  Frailty as determined by a comprehensive geriatric assessment-derived deficit-accumulation index in older patients with cancer who receive chemotherapy.

Authors:  Harvey Jay Cohen; David Smith; Can-Lan Sun; William Tew; Supriya G Mohile; Cynthia Owusu; Heidi D Klepin; Cary P Gross; Stuart M Lichtman; Ajeet Gajra; Julie Filo; Vani Katheria; Arti Hurria
Journal:  Cancer       Date:  2016-08-16       Impact factor: 6.860

4.  Shortened Leukocyte Telomere Length Associates with an Increased Prevalence of Chronic Health Conditions among Survivors of Childhood Cancer: A Report from the St. Jude Lifetime Cohort.

Authors:  Kirsten K Ness; Zhaoming Wang; Nan Song; Zhenghong Li; Na Qin; Carrie R Howell; Carmen L Wilson; John Easton; Heather L Mulder; Michael N Edmonson; Michael C Rusch; Jinghui Zhang; Melissa M Hudson; Yutaka Yasui; Leslie L Robison
Journal:  Clin Cancer Res       Date:  2020-01-22       Impact factor: 12.531

5.  Short telomere length, cancer survival, and cancer risk in 47102 individuals.

Authors:  Maren Weischer; Børge G Nordestgaard; Richard M Cawthon; Jacob J Freiberg; Anne Tybjærg-Hansen; Stig E Bojesen
Journal:  J Natl Cancer Inst       Date:  2013-03-06       Impact factor: 13.506

6.  Pervasive Discrimination and Allostatic Load in African American and White Adults.

Authors:  Miriam E Van Dyke; Nicole Kau'i Baumhofer; Natalie Slopen; Mahasin S Mujahid; Cheryl R Clark; David R Williams; Tené T Lewis
Journal:  Psychosom Med       Date:  2020-04       Impact factor: 3.864

Review 7.  Geroprotectors: A Unified Concept and Screening Approaches.

Authors:  Alexey Moskalev; Elizaveta Chernyagina; Anna Kudryavtseva; Mikhail Shaposhnikov
Journal:  Aging Dis       Date:  2017-05-02       Impact factor: 6.745

8.  Long-term exposure to air pollution is associated with biological aging.

Authors:  Cavin K Ward-Caviness; Jamaji C Nwanaji-Enwerem; Kathrin Wolf; Simone Wahl; Elena Colicino; Letizia Trevisi; Itai Kloog; Allan C Just; Pantel Vokonas; Josef Cyrys; Christian Gieger; Joel Schwartz; Andrea A Baccarelli; Alexandra Schneider; Annette Peters
Journal:  Oncotarget       Date:  2016-11-15

9.  Fifteen years of progress in understanding frailty and health in aging.

Authors:  Kenneth Rockwood; Susan E Howlett
Journal:  BMC Med       Date:  2018-11-27       Impact factor: 8.775

10.  Metformin for cancer and aging prevention: is it a time to make the long story short?

Authors:  Vladimir N Anisimov
Journal:  Oncotarget       Date:  2015-11-24
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  2 in total

1.  Redefining Age-Based Screening and Diagnostic Guidelines: An Opportunity for Biological Aging Clocks in Clinical Medicine?

Authors:  Jamaji C Nwanaji-Enwerem; William B Mair
Journal:  Lancet Healthy Longev       Date:  2022-06-09

2.  Prognostic Effect of Age in Resected Pancreatic Cancer Patients: A Propensity Score Matching Analysis.

Authors:  Yaolin Xu; Yueming Zhang; Siyang Han; Dayong Jin; Xuefeng Xu; Tiantao Kuang; Wenchuan Wu; Dansong Wang; Wenhui Lou
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

  2 in total

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