Purpose of review: Cancer incidence will dramatically increase, especially among older adults, during the next few decades. This may lead to bankruptcy of the healthcare systems worldwide if the current approach to treatment eligibility is not improved. In fact, current treatment personalization is mostly focusing on the genetic and molecular characteristics of cancer cells, whereas clinical characterization of patients is still dependent on gross variables (i.e. chronological age, BMI, comorbidities, Performance Status and so on). This could have contributed to the poor performance of many anticancer drugs in the real-world setting when compared with the results obtained in prospective, randomized clinical trials. Recent findings: The role of chronological age in identifying patients with increased likelihood to respond to therapies has been challenged, pointing to biological age (i.e. accumulated damage to biological systems over the life course, leading to loss of reserve and capacity to respond to challenges) as a robust predictor of outcome encompassing genetic, phenotypic and clinical factors. Sarcopenia has been proposed as a reliable clinical index of biological age, but the complexity of body composition changes occurring during tumour growth appears to preclude its routine use when assessing eligibility in cancer patients. Summary: Integration of sarcopenia measures within scores of allostatic load may further increase the clinical relevance of changes of body composition, highlight its sensitivity to early nutritional intervention leading to mitigation of accelerated ageing, and contribute to wide delivery of precision oncology.

Sarcopenia, biological age and treatment eligibility in patients with cancer / Laviano, Alessandro. - In: CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE. - ISSN 1363-1950. - 26:1(2023), pp. 59-63. [10.1097/MCO.0000000000000888]

Sarcopenia, biological age and treatment eligibility in patients with cancer

Laviano, Alessandro
2023

Abstract

Purpose of review: Cancer incidence will dramatically increase, especially among older adults, during the next few decades. This may lead to bankruptcy of the healthcare systems worldwide if the current approach to treatment eligibility is not improved. In fact, current treatment personalization is mostly focusing on the genetic and molecular characteristics of cancer cells, whereas clinical characterization of patients is still dependent on gross variables (i.e. chronological age, BMI, comorbidities, Performance Status and so on). This could have contributed to the poor performance of many anticancer drugs in the real-world setting when compared with the results obtained in prospective, randomized clinical trials. Recent findings: The role of chronological age in identifying patients with increased likelihood to respond to therapies has been challenged, pointing to biological age (i.e. accumulated damage to biological systems over the life course, leading to loss of reserve and capacity to respond to challenges) as a robust predictor of outcome encompassing genetic, phenotypic and clinical factors. Sarcopenia has been proposed as a reliable clinical index of biological age, but the complexity of body composition changes occurring during tumour growth appears to preclude its routine use when assessing eligibility in cancer patients. Summary: Integration of sarcopenia measures within scores of allostatic load may further increase the clinical relevance of changes of body composition, highlight its sensitivity to early nutritional intervention leading to mitigation of accelerated ageing, and contribute to wide delivery of precision oncology.
2023
Aged; Aging; Humans; Neoplasms; Precision Medicine; Prospective Studies; Sarcopenia
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Sarcopenia, biological age and treatment eligibility in patients with cancer / Laviano, Alessandro. - In: CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE. - ISSN 1363-1950. - 26:1(2023), pp. 59-63. [10.1097/MCO.0000000000000888]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1692804
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