BACKGROUND: Older adults undergoing cancer treatment often experience more treatment-related toxicities and increased risk of mortality compared to younger patients. The role of frailty among older individuals as a predictor of outcomes has gained growing significance. We evaluated the association between frailty and overall survival (OS) in patients with hepatocellular carcinoma (HCC) ≥60 years.
METHODS: Older adults ≥60 years with HCC enrolled in a prospective single-institution registry underwent a patient-reported geriatric assessment (GA) covering multiple health domains related to prior to their initial medical oncology appointment. Frailty was measured using a 44-item deficit accumulation frailty index. We categorized patients as robust, pre-frail, and frail using standard cutpoints. The primary outcome was overall survival (OS). Univariable and multivariable models were built to evaluate the association between frailty and OS after adjusting for potential confounders.
RESULTS: Total of 116 older adults with HCC with a median age of 67 years were enrolled; 82% male, 27% Black, and 78% with stage III/IV disease. Overall, 19 (16.3%) were robust, 39 (33.6%) pre-frail, and 58 (50.1%) frail. There were 76 patients receiving liver directed therapy. Of these, 13 (17%) were robust, 26 (34%) were pre-frail, and 37 (49%) were frail. Over a median follow up of 0.9 years, 53 patients died. After adjusting for age, stage, etiology, and Child-Pugh class, being frail (vs. robust) was associated with worse OS (hazard ratio (HR) 2.6 [95% CI 1.03-6.56]; p = 0.04).
CONCLUSIONS: Half of the participants in this study were frail, which was independently associated with worse survival in adults ≥60 years of age with HCC. Identification of pre-treatment frailty may allow opportunities to guide treatment decisions and prognostication.

BACKGROUND: Research efforts to characterize and evaluate care delivery and outcomes for older adults with cancer and comorbid dementia are limited by varied methods used to classify Alzheimer\'s disease and related dementias (ADRD). The purpose of this study is to evaluate differences in demographic, clinical, and cancer characteristics of people newly diagnosed with cancer and concomitant dementia comparing two common methods to identify ADRD using administrative claims data.
METHODS: We conducted a retrospective cohort study using Surveillance, Epidemiology, and End Results (SEER)-Medicare data. Our sample included adults aged 66 years and older with a first primary diagnosis of lung or colorectal cancer between 2011 and 2017. For each cancer diagnosis, we constructed analytical cohorts using the Center for Medicare and Medicaid Services\' Chronic Condition Warehouse (CCW) flag and the Bynum-Standard one- and three-year algorithms to capture diagnosed ADRD. We estimated ADRD prevalence using the algorithms and compared Bynum and CCW cohorts on demographic, clinical, and cancer characteristics at cancer diagnosis and survival for lung and colorectal cancer separately.
RESULTS: Among older adults with lung cancer, ADRD prevalence was 4.7% with the one-year Bynum, 6.5% with the three-year Bynum, and 12.5% using the CCW flag. In the colorectal cohort, ADRD prevalence was 5.6% with the one-year Bynum, 7.6% with the three-year Bynum, and 14.1% with the CCW flag. Demographic characteristics were similar across ADRD cohorts. The Bynum cohorts identified higher proportions of individuals with moderate to severe dementia (13.8% and 11.2% versus 7.1% CCW in lung cancer; 13.1% and 10.6% versus 6.8% CCW in colorectal cancer), higher frailty rates (27.4% and 22.7% versus 15.0% CCW in lung cancer; 26.4% and 22.3% versus 14.8% CCW in colorectal cancer). Median survival was lower for the Bynum cohorts compared to the CCW, regardless of cancer type.
CONCLUSIONS: Findings demonstrate that ADRD prevalence and certain clinical characteristics vary based on dementia ascertainment method and observation period used to classify individuals with ADRD. Considering differences in the cohorts of registry cases generated by the identification method used is essential when interpreting findings related to treatment, utilization, and outcomes within and across cancer cohorts.

OBJECTIVE: The extent of health-related quality of life (HRQOL) impairments in older hematological cancer survivors (HCS) has not been sufficiently studied. We therefore examined HRQOL in older HCS compared to a community sample (CS) and investigated sociodemographic, disease- and treatment-specific, geriatric, and psychosocial factors associated with reduced HRQOL.
METHODS: In this cancer-register-based cross-sectional comparative study 200 HCS, aged ≥70 years, and 252 persons of an age- and gender-matched CS completed validated questionnaires including the EORTC QLQ-C30 and EORTC QLQ-ELD14.
RESULTS: Older HCS reported a reduced HRQOL in the dimensions of global QOL, physical, role, and social functioning (small clinical significance) and higher symptom burden of fatigue, nausea and vomiting, appetite loss, and poorer mobility compared to the CS (fatigue and mobility with medium, the others with small clinical significance). Perceived disease burden of comorbidities, functional disabilities, psychological distress, and depression showed statistical significance for reduced HRQOL in older HCS in multiple linear regression analysis (R2 = .602, p < .001).
CONCLUSIONS: The screening and treatment of functional limitations and individual symptoms and the integration of a geriatric assessment into oncological practice can help to identify supportive care needs, to implement individualized, patient-centered cancer survivorship care programs and to improve older HCS\'s HRQOL.

Outcomes for patients receiving radiotherapy (RT) for non-metastatic esophageal cancer at a single institution were assessed, as well as the impact of factors including age and intensity modulated RT (IMRT) planning on patient outcomes. A retrospective cohort of patients treated with RT for stage I-III esophageal cancer between 2010 and 2018 was identified. Among 248 identified patients, 28 % identified as older (≥75 years of age). Other than histology, there were no other statistically significant differences in patient and tumour characteristics between the younger and older populations. Treatments varied between the two age groups, with significantly less older patients completing trimodality treatments (17 % vs 58 %). Median overall survival (M-OS) and progression-free survival (M-PFS) were 20 months and 12 months for all patients and 40 months and 26 months for trimodality patients, respectively. In the older patients, the M-OS improved from 13 months for all to 34 months for trimodality patients; and M-PFS from 10 months to 16 months. On multivariate analysis, the use of trimodality therapy showed improved OS (HR 0.26, p < 0.001). In the non-surgical older patient group, significantly better survival was seen in patients who had a heart V30Gy under 46 %. There was no significant difference in M-OS in patients planned with IMRT compared with 3D-conformal RT. Clinical outcomes in the treatment of esophageal cancer vary significantly by treatment approach, with the most favourable results in those receiving trimodality therapy. Among older patients deemed fit after assessment by the multidisciplinary team for trimodality treatments, the M-OS is comparable to the younger patient group.

Most patients diagnosed with and dying from cancer in Canada are older adults, with aging contributing to the large projected growth in cancer incidence. Older adults with cancer have unique needs, and on a global scale increasing efforts have been made to address recognized gaps in their cancer care. However, in Canada, geriatric oncology remains a new and developing field. There is increasing recognition of the value of geriatric oncology and there is a growing number of healthcare providers interested in developing the field. While there is an increasing number of dedicated programs in geriatric oncology, they remain limited overall. Developing novel methods to delivery geriatric care in the oncology setting and improving visibility is important. Formal incorporation of a geriatric oncology curriculum into training is critical to both improve knowledge and demonstrate its value to healthcare providers. Although a robust group of dedicated researchers exist, increased collaboration is needed to capitalize on existing expertise. Dedicated funding is critical to promoting clinical programs, research, and training new clinicians and leaders in the field. By addressing challenges and capitalizing on opportunities for improvement, Canada can better meet the unique needs of its aging population with cancer and ultimately improve their outcomes.

BACKGROUND: The incidence of esophageal and gastric carcinoma (GEC) in elderly patients is increasing, yet patients ≥75 years have historically been underrepresented in clinical trials. We sought to investigate palliative chemotherapy administration patterns and survival outcomes in older adults.
METHODS: A retrospective analysis identified patients aged 65-74 (young-old) and ≥75 years (older-old) diagnosed with advanced GEC. Patient and tumor characteristics were recorded, with descriptive analysis, time-to-event data analysis using Kaplan-Meier curves and multivariate Cox proportional hazards regression analysis performed.
RESULTS: One hundred and ninety-eight \"young-old\" and 109 \'older-old\' patients were identified. Patient characteristics were similar between groups except for Charlson Co-morbidity Index (CCI), with lower co-morbidities in the \"young-old\" compared to \"older-old\" cohort (P < .001; CCI = 0 in 103 (52%) \"young-old\" vs 31 (28%) \"older-old\"). The primary diagnosis in both groups was adenocarcinoma. 119 (60%) \"young-old\" and 25 (23%) \"older-old\" patients received chemotherapy (P < .001). Performance status was the primary explanation for chemotherapy non-receipt in both cohorts; age was the explanation in 21 (25%) \"older-old\" patients and none in the \"young-old\" patients. PFS for first-line systemic therapy in \"young-old\" patients was 6.4 (95% CI 5.9-7.6) versus 7.5 months (95% CI 5.1-11.3) in \"older-old\" patients (P = .69) whilst respective OS was 12.3 (95% CI 10.1-15.5) and 10.4 months (95% CI 9.0-14.6) (P = .0816). Toxicity prompted chemotherapy cessation in 17 (15%) \"young-old\" and 3 (13%) \"older-old\" patients (P = .97). Multivariate analysis identified CCI and ECOG performance status as predictive for PFS and OS, respectively. No causative relationship was identified with other variables.
CONCLUSIONS: Our study of real-world older-adults show that significant number of \"older-old\" patients with GEC do not receive chemotherapy. Among \"older-old\" adults who do receive systemic therapy, outcomes are comparable; this underscores the importance of geriatric assessment-guided care and suggests that age alone should not be a barrier to receipt of chemotherapy in patients with advanced GEC.

OBJECTIVE: This article aims to offer a comprehensive review of optimal integrative medicine practices for geriatric oncology patients. Given the aging population and the global rise in cancer incidence, it is crucial to identify evidence-based modalities and employ an integrated approach to enhance cancer outcomes and quality of life in older adults.
RESULTS: It has been predicted that 20.5% (6.9 million) of new cancer cases in 2050 will occur in adults over 80 years old.1 The increasing focus on lifestyle factors in healthy aging has shed light on various overlooked areas of significance. Notably, anti-inflammatory diets and the promotion of a healthy gut microbiome have demonstrated significant impacts on overall health outcomes, bolstering the body\'s innate capacity to combat disease. This review delves into further evidence and extrapolation concerning integrative approaches and their influence on cancer outcomes and older adults quality of life. The complexity and unique nature of cancer in older adults requires a wide range of support from medical providers. Incorporating various integrative techniques as part of cancer treatment and side effect support can improve health outcomes and patient\'s quality of life. Familiarity with the lifestyle interventions and other topics explored in this review equips healthcare providers to offer tailored and holistic care to geriatric patients navigating cancer.

OBJECTIVE: To (i) determine the actual radiotherapy utilization (RTU) stratified by age, (ii) develop an age- and co-morbidity adjusted optimal RTU model and (iii) examine the tolerance and toxicity of treatment of older patients with head and neck cancer.
METHODS: A retrospective cohort study based on New South Wales Cancer Registry records (2010-2014) linked to radiotherapy data (2010-2015) and admitted patient data (2008-2015) for patients diagnosed with head and neck cancer. We calculated the actual RTU, defined as the proportion of patients who received at least one course of radiotherapy within a year of diagnosis, by age group, including patients aged 80+ years. We also calculated the age and comorbidity-adjusted optimal RTU. For treatment tolerance, the radiotherapy dose for each age group and the completion rate for a seven week 70 Gray (Gy) course of curative intent radiotherapy were computed. The number of emergency department (ED) presentations were used as a surrogate measure of acute treatment toxicity for patients receiving 70 Gy.
RESULTS: Of the 5966 patients diagnosed with head and neck cancer, 814 (13.6%) were aged 80+ years. For all age groups, the actual RTU was less than the optimal RTU. The age- and comorbidity-adjusted optimal RTU for patients aged 80+ was 52% (95% CI: 51%-53%), and the actual RTU was 40% (95% CI: 37%-44%). Only 4.4% of patients aged 80+ received 70 Gy, and the completion rate for a 70 Gy course of radiotherapy for these patients was 92%. The ED presentation rate was similar for all age groups.
CONCLUSIONS: The actual RTU was less in the 80+ years patients and across all age groups. Fewer patients in the 80+ group received curative intent schedules compared to the actual RTU rate for younger age groups, despite similar rates of completion of curative intent radiotherapy and acute toxicity.

BACKGROUND: To evaluate if comprehensive geriatric assessment (CGA)-guided care improves health-related quality of life (HRQL) in older adults with cancer compared to usual care.
METHODS: Relevant randomized controlled trials (RCTs) were identified through biomedical databases. Meta-analyses using DerSimonian-Laird model summarized the difference in the mean change of HRQL scores from baseline across various time points, with evidence certainty assessed by the GRADE tool. Logistic regression via generalized estimating equations analyzed predictors of HRQL improvement.
RESULTS: Potential improvement in the global HRQL score by CGA-guided care at 3 months (Cohen\'s d 0.27, 95 % CI -0.03-0.58, moderate certainty), could not be excluded. Larger RCTs or those mandating CGA before initiating anti-cancer treatment were predictors of improved HRQL.
CONCLUSIONS: The effects of CGA-guided care on HRQL were variable. Larger RCTs and those mandating pre-treatment CGA tended to report improved HRQL.

Prognostic information is needed to balance benefits and risks of cancer treatment in older patients. Metabolomics-based scores were previously developed to predict 5- and 10-year mortality (MetaboHealth) and biological age (MetaboAge). This study aims to investigate the association of MetaboHealth and MetaboAge with 1-year mortality in older patients with solid tumors, and to study their predictive value for mortality in addition to established clinical predictors. This prospective cohort study included patients aged ≥ 70 years with a solid malignant tumor, who underwent blood sampling and a geriatric assessment before treatment initiation. The outcome was all-cause 1-year mortality. Of the 192 patients, the median age was 77 years. With each SD increase of MetaboHealth, patients had a 2.32 times increased risk of mortality (HR 2.32, 95% CI 1.59-3.39). With each year increase in MetaboAge, there was a 4% increased risk of mortality (HR 1.04, 1.01-1.07). MetaboHealth and MetaboAge showed an AUC of 0.66 (0.56-0.75) and 0.60 (0.51-0.68) for mortality prediction accuracy, respectively. The AUC of a predictive model containing age, primary tumor site, distant metastasis, comorbidity, and malnutrition was 0.76 (0.68-0.83). Addition of MetaboHealth increased AUC to 0.80 (0.74-0.87) (p = 0.09) and AUC did not change with MetaboAge (0.76 (0.69-0.83) (p = 0.89)). Higher MetaboHealth and MetaboAge scores were associated with 1-year mortality. The addition of MetaboHealth to established clinical predictors only marginally improved mortality prediction in this cohort with various types of tumors. MetaboHealth may potentially improve identification of older patients vulnerable for adverse events, but numbers were too small for definitive conclusions. The TENT study is retrospectively registered at the Netherlands Trial Register (NTR), trial number NL8107. Date of registration: 22-10-2019.