A randomized clinical study on the impact of Comprehensive Geriatric Assessment (CGA) based interventions on the quality of life of elderly, frail, onco-hematologic patients candidate to anticancer therapy: protocol of the ONCO-Aging study

Abdurraouf Mokhtar Mahmoud, Federica Biello, Paola Maria Maggiora, Riccardo Bruna, Giovanni Burrafato, Miriam Cappelli, Feba Varughese, Veronica Martini, Francesca Platini, Clara Deambrogi, Andrea Patriarca, Maura Nicolosi, Ajay Ram Vachanaram, Carla Pisani, Eleonora Ferrara, Elvira Catania, Danila Azzolina, Francesco Barone-Adesi, Marco Krengli, Gianluca Gaidano, Alessandra Gennari, Abdurraouf Mokhtar Mahmoud, Federica Biello, Paola Maria Maggiora, Riccardo Bruna, Giovanni Burrafato, Miriam Cappelli, Feba Varughese, Veronica Martini, Francesca Platini, Clara Deambrogi, Andrea Patriarca, Maura Nicolosi, Ajay Ram Vachanaram, Carla Pisani, Eleonora Ferrara, Elvira Catania, Danila Azzolina, Francesco Barone-Adesi, Marco Krengli, Gianluca Gaidano, Alessandra Gennari

Abstract

Background: Age is considered as one of the most important risk-factor for many types of solid and hematological cancers, as their incidence increases with age in parallel to the ever-growing elderly population. Moreover, cancer incidence is constantly increasing as a consequence of the increase in life expectancy that favors the process of cellular senescence. Geriatric assessment has been increasingly recognized as predictive and prognostic instrument to detect frailty in older adults with cancer. In particular, the G8 score is a simple and reproducible instrument to identify elderly patients who should undergo full geriatric evaluation. Due to their frailty, elderly patients may be often under-treated and a therapeutic choice based also on a comprehensive geriatric assessment (CGA) is recommended. With these premises, we aim to test the impact of the CGA based interventions on the quality of life (QoL) of frail elderly onco-hematological patients, identified by the G8 screening, candidate for innovative target directed drugs or treatments including the combination of radiotherapy and chemotherapy (RT + CT).

Methods: Patients aged > 65 years, candidate to target directed agents or to RT + CT treatments are screened for frailty by the G8 test; those patients classified as frail (G8 ≤ 14) are randomized to receive a CGA at baseline or to conventional care. The primary endpoint is QoL, assessed by EORTC QLQ-C30C. As collateral biological study, the potential prognostic/predictive role of T-cell senescence and myeloid derived suppressor cells (MDSC) are evaluated on plasma samples.

Discussion: This trial will contribute to define the impact of CGA on the management of frail elderly onco-hematologic patients candidate to innovative biological drugs or to integrated schedules with the association of RT + CT. Furthermore, the use of plasma samples to assess the potential prognostic value of imbalance of immune-competent cells is expected to contribute to the individualized care of elderly patients, resulting into a fine tuning of the therapeutic strategies.

Trial registration: ClinicalTrials.gov ID: NCT04478916 . registered July 21, 2020 - retrospectively registered.

Keywords: Cell senescence; Comprehensive geriatric assessment (CGA); G8 questionnaire; Quality of Life (QoL).

Conflict of interest statement

None of the authors have any conflicts of interests.

Figures

Fig. 1
Fig. 1
Prospective, observational, randomized study. Patients will enter the trial after completion the screening phase. Only patients aged ≥ 65 years and whose resulted as fragile using G8 screening tool with a score ≤ 14/17, will be randomized into 2 arms; Arm A: will be evaluated by Comprehensive Geriatric Assessment (CGA); Arm B: Control group. Both arms will be evaluated for their quality of life using EORTC – QLQ-C30 questionnaire, aiming to develop an accurate index for elderly patients with onco-hematological tumors using the CGA as primary study endpoint
Fig. 2
Fig. 2
SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) diagram for ARM A: Geriatric Intervention Group; schedule of enrollment, interventions, and assessments. Abbreviations: M3; 3 months after randomisation, M6; 6 months after randomisation, M9; 9 months after randomisation, M12; 12 months after randomisation, PD; at progression
Fig. 3
Fig. 3
SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) diagram for ARM B: Control Group; schedule of enrollment, interventions, and assessments. Abbreviations: M3; 3 months after randomisation, M6; 6 months after randomisation, M9; 9 months after randomisation, M12; 12 months after randomisation, PD; at progression
Fig. 4
Fig. 4
Study assessments timepoints. Patients will be randomized into 2 arms after completion of the G8 screening phase; Arm A; will be evaluated by Comprehensive Geriatric Assessment (CGA) at baseline and would be re-evaluated after every 6 months and If necessary, an onco-geriatric follow-up will be carried out. Arm B is the Control group, no geriatric visit is scheduled. Both arms will be evaluated for their quality of life using EORTC – QLQ-C30 questionnaire every 3 months. Blood samples from patients will be collected to evaluate T cells senescence and myeloid-derived suppressor cells at baseline and after 12 months or at disease progression

References

    1. White MC, Homan DM, Boehm JB, Peipins LA, Grossman M, Henley SJ. Age and cancer risk. Am J Prev Med. 2014;46:7–15. doi: 10.1016/j.amepre.2013.10.029.
    1. Van Deursen JM. The role of senescent cells in ageing. Nature. 2014;509:439–46. doi: 10.1038/nature13193.
    1. Ferrucci L, Fabbri E. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nat Rev Cardiol. 2018;15:505–22. doi: 10.1038/s41569-018-0064-2.
    1. Aunan JR, Cho WC, Søreide K. The biology of aging and cancer: A brief overview of shared and divergent molecular hallmarks. Aging Dis. 2017;8:628–42. doi: 10.14336/AD.2017.0103.
    1. Denson AC, Mahipal A. Participation of the elderly population in clinical trials: barriers and solutions. Cancer Control. 2014;21:209–14. doi: 10.1177/107327481402100305.
    1. Divo MJ, Martinez CH, Mannino DM. Ageing and the epidemiology of multimorbidity. Eur Respir J. 2014;44:1055–68. doi: 10.1183/09031936.00059814.
    1. Fusco D, Ferrini A, Pasqualetti G, Giannotti C, Cesari M, Laudisio A, et al. Comprehensive geriatric assessment in older adults with cancer: recommendations by the Italian society of Geriatrics and Gerontology (SIGG). Eur J Clin Invest. 2020; e13347. Epub 2020.
    1. Ostrand-Rosenberg S, Sinha P. Myeloid-derived suppressor cells: linking inflammation and cancer. J Immunol. 2009;182:4499–506. doi: 10.4049/jimmunol.0802740.
    1. Acosta JC, Banito A, Wuestefeld T, Georgilis A, Janich P, Morton JP, et al. A complex secretory program orchestrated by the inflammasome controls paracrine senescence. Nat Cell Biol. 2013;15:978–90. doi: 10.1038/ncb2784.
    1. Law AMK, Valdes-Mora F, Gallego-Ortega D. Myeloid-derived suppressor cells as a therapeutic target for cancer. Cells. 2020;9:561. doi: 10.3390/cells9030561.
    1. Salminen A, Kaarniranta K, Kauppinen A. Immunosenescence: the potential role of myeloid-derived suppressor cells (MDSC) in age-related immune deficiency. Cell Mol Life Sci. 2019;76:1901–18. doi: 10.1007/s00018-019-03048-x.
    1. Boroughs LK, DeBerardinis RJ. Metabolic pathways promoting cancer cell survival and growth. Nat Cell Biol. 2015;17:351–9. doi: 10.1038/ncb3124.
    1. Mohile SG, Dale W, Somerfield MR, Schonberg MA, Boyd CM, Burhenn PS, et al. Practical assessment and management of vulnerabilities in older patients receiving chemotherapy: ASCO guideline for geriatric oncology. J Clin Oncol. 2018;36:2326–47. doi: 10.1200/JCO.2018.78.8687.
    1. AIOM guidelines for elderly patients. 2019. .
    1. Welsh TJ, Gordon AL, Gladman JR. Comprehensive geriatric assessment – a guide for the non-specialist. Int J Clin Pract. 2014;68:290–3. doi: 10.1111/ijcp.12313.
    1. Kenis C, Decoster L, Van Puyvelde K, De Grève J, Conings G, Milisen K, et al. Performance of two geriatric screening tools in older patients with cancer. Clin Oncol. 2014;32:19–26.
    1. Aparicio T, Jouve JL, Teillet L, Gargot D. Geriatric factors predict chemotherapy feasibility: ancillary results of FFCD 2001-02 phase III study in first-line chemotherapy for metastatic colorectal cancer in elderly patients. J Clin Oncol. 2013;31:1464–70. doi: 10.1200/JCO.2012.42.9894.
    1. Aaronson NK, Ahmedzai S, Bergman M, Bullinger A, Cull NJ, Duez A, et al. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality of life instrument for use in international clinical trials in oncology. J Natl Cancer Inst. 1993;85:365–76. doi: 10.1093/jnci/85.5.365.
    1. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173:489–95. doi: 10.1503/cmaj.050051.
    1. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–98. doi: 10.1016/0022-3956(75)90026-6.
    1. Yesavage JA. Geriatric Depression Scale. Psychopharmacol Bull. 1988;24:709–11.
    1. Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged. The Index of ADL: a standardized measure of biological and psychosocial function. JAMA. 1963;185:914–9. doi: 10.1001/jama.1963.03060120024016.
    1. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969; 9: 179–186 IADL.
    1. Guigoz Y, Vellas B, Garry PJ. Mini Nutritional Assessment: A practical assessment tool for grading the nutritional state of elderly patients. Facts and Research in Gerontology 1994; Supplement 2: 15–59.
    1. Linn B, Linn M, Gurel L. Cumulative illness rating scale. J Am Geriatr Soc. 1968;16:622–6. doi: 10.1111/j.1532-5415.1968.tb02103.x.
    1. Mathias S, Nayak US, Isaacs B. Balance in elderly patients: the “get-up and go” test. Arch Phys Med Rehabil. 1986;67:387–9.
    1. Colloca G, Corsonello A, Marzetti E, Balducci L, Landi F, Extermann M, et al. Treating cancer in older and oldest old patients. Curr Pharm Des. 2015;21:1699–705. doi: 10.2174/1381612821666150130122536.
    1. He S, Sharpless NE. Senescence in health and disease. Cell. 2017;169:1000–11. doi: 10.1016/j.cell.2017.05.015.
    1. De Padova S, Urbini M, Schepisi G, Virga A, Meggiolaro E, Rossi L, et al. Immunosenescence in testicular cancer survivors: potential implications of cancer therapies and psychological distress. Front Oncol. 2021;10:564346. doi: 10.3389/fonc.2020.564346.
    1. Hamaker ME, Jonker JM, de Rooij SE, Vos AG, Smorenburg CH, van Munster BC. Frailty screening methods for predicting outcome of a comprehensive geriatric assessment in elderly patients with cancer: a systematic review. Lancet Oncol. 2012;13:e437–44. doi: 10.1016/S1470-2045(12)70259-0.

Source: PubMed

3
Subskrybuj