We previously reported the results of a prospective observational study evaluating activities of daily living (ADL) at six months after curative surgical resection in patients aged ≥75 years with non-small cell lung cancer (NSCLC). In this manuscript, we report the 24-month longitudinal ADL outcomes in this population, providing important data to support treatment decision-making and to identify risk factors for long-term functional decline.

This is a prospective, multi-institutional observational cohort study conducted in Japan. We evaluated patients aged ≥75 years who underwent curative surgery for stage 0-III NSCLC. ADL were evaluated at 6, 12, and 24 months postoperatively using the Tokyo Metropolitan Institute of Gerontology Index of Competence (TMIG-IC), which encompasses dimensions of instrumental activities of daily living. We defined ADL deterioration as a decline of ≥3 points or missing data and performed multivariable analyses for ADL deterioration.

The follow-up data of 876 patients were available for a median of 24.2 months. At 6, 12, and 24 months postoperatively, the proportion of patients with ADL deterioration was 11.0 %, 10.3 %, and 12.6 %, respectively. Multivariable analysis revealed that factors such as poor performance status, low G8 score, undergoing segmentectomy instead of wedge resection, and surgery duration <3 h were associated with ADL deterioration after six months. Conversely, a low G8 score was sole factor associated with a decline in the TMIG-IC score after 24 months. Multivariable analysis demonstrated that at six months, segmentectomy was significantly associated with more ADL deterioration compared with wedge resection, with an odds ratio (OR) of 4.96 (95 % confidence interval [CI]: 1.88-13.07). However, segmentectomy and wedge resection showed no significant difference at 24 months (OR: 0.92, 95 % CI: 0.40-2.10).

Among patients aged ≥75 years undergoing lung cancer surgery, approximately 10 % experienced a decline in ADL at six months postoperatively; however, the proportion remained stable thereafter, suggesting no further functional deterioration. Short-term ADL tended to be preserved with wedge resection, but this advantage diminished over time. The insights from this study are also expected to inform patient decision-making regarding treatment strategy.

We aimed to evaluate the efficacy of two different radiotherapy strategies in elderly patients with locally advanced nasopharyngeal carcinoma (NPC) using geriatric assessment.

We conducted a randomized phase 2 trial for older patients (≥ 65 years) with stage III-IVA NPC. Patients were randomized into either intensity-modulated radiotherapy (IMRT) alone (RT Arm) or concurrent chemoradiotherapy (CCRT Arm). The primary endpoint was therapeutic success. The secondary endpoints were survival, safety and geriatric assessment.

Between June 1, 2017 and June 11, 2019, 22 patients were allocated to the RT arm and 19 to the CCRT arm. There was therapeutic success in 11 patients (57.9 %) in the CCRT arm and 18 patients (81.8 %) in the RT arm. The median follow-up time was 60.4 months (interquartile range [IQR], 49.8-67.8) months. The five-year locoregional relapse-free survival, cancer-specific survival, and overall survival rates for patients in the CCRT and RT arms were 93.8 % and 85.7 % (p = 0.77), 93.8 % and 80.7 % (p = 0.12), 78.9 % and 56.8 % (p = 0.09), respectively. The five-year distant metastasis-free survival rates for patients in the CCRT and RT arms were 100.0 % and 76.6 % (p = 0.002), respectively. Compared with the CCRT arm, lower incidence of acute toxicities was observed in the RT arm, including grade 1 or higher vomiting, nausea, anemia, and leukopenia (p < 0.05).

CCRT was not more efficacious than IMRT alone but was more likely to cause acute toxicities in older patients with locally advanced NPC. CCRT should only be used in selected older patients with locally advanced NPC.

Older adults diagnosed with cancer often have functional vulnerability and increased risk for treatment-related toxicity and poor outcomes, with emergent clinical strategies to mitigate these risks. The geriatric assessment (GA) is a widely recommended platform in the clinic to help inform treatment decisions and toxicity risk and initiate referrals, but incorporating the GA into busy clinical practice remains challenging.

To promote a consistent approach in conducting the GA and connecting older adults with relevant resources and services while acknowledging the specific care needs for those with breast cancer, our National Cancer Institute-designated center launched the Program for Older Adults with Breast Cancer (OABC) in May 2022, embedded within the Breast Oncology Center. The OABC coordinator offers approached patients an introduction to program services and an opportunity to undergo the GA. The coordinator uses the GA responses to facilitate appropriate geriatrics and supportive care referrals, with recommendations and utilization of services tracked in the program database. We report the initial findings from systematic GA administration within a high-volume breast cancer program.

From 2022 to 2024, 362 patients were approached to enroll in OABC; 108 completed a GA. Overall, 32.1 % were aged 70-75 and 10 % were aged ≥86, and most (2/3) had non-metastatic disease. Approximately 30 % were hospitalized in the year before enrollment, 19 % had recent falls, and the majority reported having social supports for emotional and physical needs (>65 % for each). Based on the GA (n = 108), the most frequently recommended services were geriatrics (67 %) and social work (36 %). However, only 60 % of patients who completed the GA agreed to one or more referrals to any of the recommended supportive care services.

OABC systematically reaches patients at high risk for aging-relevant needs. Coordination of services was successful, but patient declines for geriatrics and supportive resources referrals were common despite having dedicated program staff. Further efforts will increase uptake of the GA and these important services.

Few studies have looked into the best surgical treatment for older breast cancer patients, with many opting for a mastectomy for simplicity. The purpose of this study was to compare the cosmetic satisfaction and decision regret of older Chinese patients who had breast-conserving surgery (BCS) versus mastectomy. Female Chinese patients aged 70 or older when diagnosed with breast cancer were recruited between September 2019 and December 2021. The Chinese version of the BREAST-Q survey was used to assess satisfaction with breast cosmesis before and after surgery. The Decision Regret Scale was used to characterize decision regret six months after the operation. A comprehensive geriatric assessment was performed, as well as quality of life (QoL) measures. Eighty-six patients fulfilled the recruitment criteria, and 77 of them consented to the study and completed the questionnaires (90% participation rate). Fifty-three patients (68.8%) underwent a mastectomy, while twenty-four patients (31.2%) underwent BCS. At six months after the operation, patients who had a mastectomy were found to be less satisfied with the cosmetic outcome of their breasts (p = 0.012). Breast cosmesis satisfaction remained similar in the group of patients who received a BCS (p = 0.550). Neither group expressed regret in their choice of operation option (p = 0.429). Patients who received BCS had better social support (p = 0.025). There was no significant difference in QoL measures. The cosmetic outcome of a mastectomy can cause significant dissatisfaction in older adults. It is critical to engage patients in discussions about surgical options so that they can make an informed decision.

Treatment of pancreatic cancer often entails multiple modalities (e.g., chemotherapy, surgery, radiation) that vary in intensity, timing, and toxicity profiles. Some treatment options are only recommended for medically 'fit' patients regardless of age, yet formal fitness measures (such as the geriatric assessment [GA]) and patient preferences are seldom utilized during treatment decision-making.

The INtegrating Systematic PatIent-Reported Evaluations into Multi-Disciplinary Tumor Board (INSPIRE-MDTB) intervention involves the presentation of GA and treatment preferences data during tumor board discussions of older patients with stage I-IV pancreatic adenocarcinoma. This qualitative study recorded, transcribed, and inductively analyzed historical (November 2021-February 2022) and intervention (September 2022-June 2023) MDTBs using NVivo software. A constant comparative method was used to establish a grounded scheme representative of clinicians' characterization of patients' fitness and preferences during decision-making.

Recordings of the primary MDTB presentation of 31 historical and 49 intervention patients with similar sex (52 %; 53 % female), age (m = 68.1; 72.3), race (65 %; 59 % White), and cancer stage (26 %; 22 % stage IV) were included. Although GA was captured for all included patients, it was not discussed in any historical cases, but was in 94 % of intervention cases. When compared to historical controls, INSPIRE patients had more frequent discussions of (1) cancer-related factors (e.g., size, location, rate of progression; 35 % vs. 43 %), (2) individual risk factors (e.g., age, comorbidities, tolerance; 90 % vs 98 %), and (3) psychosocial factors (e.g., health literacy, social support, substance use; 19 % vs 33 %). Identified preference domains were discussed in 39 % of historical and 80 % of intervention patients, with notably higher rates of discussion of patients' concerns regarding physical (0 %; 35 %) and mental/emotional (0 %; 20 %) side effects, ability to work (0 %; 10 %), and the logistics and convenience of treatment (6 %; 14 %).

The INSPIRE intervention enhanced MDTB discussion of patient fitness and preferences and represents a promising approach for fostering consistent and systematic presentation and discussion of patient-reported data, such as the GA and treatment preferences. This adds to our previous findings that INSPIRE was feasible, acceptable, appropriate, and time-effective according to patients and provider participants.

To identify trajectories of depressive symptoms in older breast cancer survivors and demographic, psychosocial, physical health, and cancer-related predictors of these trajectories.

Recently diagnosed nonmetastatic breast cancer survivors (n = 272), ages 60-98 years, were evaluated for depressive symptoms (Center for Epidemiological Studies Depression Scale, CES-D; scores ≥16 suggestive of clinically significant depressive symptoms). CES-D scores were analyzed in growth-mixture models to determine depression trajectories from baseline (post-surgery, pre-systemic therapy) through 3-year annual follow-up. Multivariable, multinomial logistic regression was used to identify baseline predictors of depression trajectories.

Survivors had three distinct trajectories: stable (84.6%), emerging depressive symptoms (10.3%), and recovery from high depressive symptoms at baseline that improved slowly over time (5.1%). Compared to stable survivors, those in the emerging (OR = 1.16; 95% CI = 1.08-1.23) or recovery (OR = 1.26; 95% CI = 1.15-1.38) groups reported greater baseline anxiety. Greater baseline deficit accumulation (frailty composite measure) was associated with emerging depressive symptoms (OR = 3.71; 95% CI = 1.90-7.26). Less social support at baseline (OR = 0.38; 95% CI = 0.15-0.99), but greater improvement in emotional (F = 4.13; p = 0.0006) and tangible (F = 2.86; p = 0.01) social support over time, was associated with recovery from depressive symptoms.

Fifteen percent of older breast cancer survivors experienced emerging or recovery depressive symptom trajectories. Baseline anxiety, deficit accumulation, and lower social support were associated with worse outcomes.

Our results emphasize the importance of depression screening throughout the course of cancer care to facilitate early intervention. Factors associated with depressive symptoms, including lower levels of social support proximal to diagnosis, could serve as intervention levers.

The geriatric population faces unique challenges in cancer treatment due to higher rates of comorbidities, which can complicate the risk-benefit analysis of treatment regimens and overall treatment decisions for both physicians and patients. This is especially true for head and neck cancers (HNC) since these patients experience significant treatment-related morbidity. Currently, there are several geriatric assessment (GA) tools available to predict outcomes in older cancer patients treated with surgery or chemotherapy, but no such tool exists to assess the frailty of geriatric patients undergoing radiation therapy for HNC. In this review, we discuss the available geriatric tools, especially those meant for cancer patients, their limitations in HNC patients, and an additional limitation of predicting radiation (RT) treatment outcomes in this challenging group of patients. We also present preliminary data for a new GA tool for HNC patients that can predict premature termination (PT) of treatment or extended treatment (ET) time.

Older adults with advanced cancer experience functional disability that warrants rehabilitation services; however, evidence indicates inconsistencies in referral. The purpose was to (1) identify predictors of geriatric assessment (GA)-driven referrals to rehabilitation services and (2) explore associations between referral and change in function, health-related quality of life (HRQoL), and overall survival among older adults with advanced cancer.

This was a secondary analysis (NCT020107443, UG1CA189961) of a nationwide GA clinical trial. Patients were older adults with advanced cancer who had at least one GA-defined physical performance or functional status impairment. Primary outcomes were oncologist-initiated discussion about or referral to rehabilitation services after the GA (Aim 1) and decline in activities of daily living (ADL), Instrumental ADL (IADL), and HRQoL within 3 months, and overall survival at 1 year (Exploratory Aims). Analyses included multivariable logistic regression and Cox proportional hazards models. Demographic and clinical factors were controlled for by using 1:1 propensity score matching.

In total 265 patients were analyzed. After adjustment, impaired cognition (odds ratio [OR] = 2.25, p = 0.01), Karnofsky score indicating disability (OR = 2.86, p < 0.01), and receipt of monoclonal antibodies (OR = 1.95, p = 0.04) were associated with higher odds of referral. In contrast, polypharmacy was associated with lower odds of referral (OR = 0.31, p < 0.01). Referred patients were less likely to decline in ADL (OR 0.30, p = 0.07) and IADL (OR 0.64, p = 0.35), but more likely to decline in HRQoL (OR 1.20, p = 0.67) and have worse survival (HR 1.18, p = 0.62).

Cancer treatment, polypharmacy, cognition, and disability status likely influence oncologists' decision to refer for rehabilitation. Referral was not independently associated with change in functional disability, HRQoL, or survival. Future studies should evaluate patients' utilization of rehabilitation services post-referral and determine whether dose/timing of rehabilitation services influence clinical outcomes.

Chemotherapy toxicity tools are rarely studied in patients with hematologic malignancy (HM). The primary aim of this pilot study was to determine the predictive ability of the Cancer and Aging Research Group (CARG) chemo-toxicity calculator in estimating grade 3-5 toxicity in patients with HM.

Patients 60 years and older with HM were prospectively evaluated using the CARG chemo-toxicity calculator. Discrimination and calibration were checked by applying the published model in our data. Additionally, a full geriatric assessment (GA), the Short Physical Performance Battery (SPPB), and health related quality of life (HRQoL) were captured longitudinally at the start of treatment and at end of study. Secondary aims explored the association of GA metrics with chemo-related toxicities and survival.

One hundred forty-five patients were approached, 118 patients consented, and 97 patients were evaluable. Most patients were newly diagnosed (n = 91). The median CARG score was 9 (range 4-18). The CARG score was not validated in our cohort of older patients with HM, with area under the receiver operation characteristic curve being 0.53 (95 % CI: 0.41-0.65). In multivariable analysis, after controlling for disease type, risk factors associated with grade 3-5 toxicity included living alone (hazard ratio [HR] 4.24, 95 %CI: 2.07-8.68, p < 0.001), increase in body mass index (HR 1.06, 95 %CI: 1.01-1.12, p = 0.03) and a higher social activities score (HR 1.27, 95 %CI: 1.06-1.51, p = 0.01). In multivariable analysis of overall survival, the only prognostic factor was an objective marker of physical function (SPPB score HR = 0.85, 95 %CI:0.78-0.93, p < 0.001).

The CARG chemo-toxicity calculator was not predictive of grade 3-5 toxicity in patients with hematologic malignancy. The SPPB was associated with overall survival in multivariable analysis, suggesting future use as an objective biomarker in HM. We also report a comprehensive trajectory of function, QoL, psychosocial well-being, and cognition among older adults with HM. The predictive accuracy of the CARG chemo-toxicity calculator may be affected by the diverse range of HM treatment options that are not traditional chemotherapy.

Among older adults with cancer receiving chemotherapy, frailty indices predict OS and toxicity. Given the increased use of immunotherapy and targeted therapy for advanced non-small cell lung cancer (aNSCLC), we evaluated frailty and Karnofsky Performance Status (KPS) among older adults with aNSCLC receiving chemotherapy, immunotherapy, and/or targeted therapy.

Patients aged ≥ 65 with aNSCLC starting systemic therapy with non-curative intent underwent geriatric assessments over 6 months. We developed a deficit-accumulation frailty index to categorize patients as robust, pre-frail, or frail. To evaluate associations between frailty and KPS with OS, we used Cox proportional hazards models adjusted for race, insurance, and treatment. We used logistic regression to evaluate hospitalizations, functional decline, and severe toxicity.

Among 155 patients (median age 73), 45.8% were robust, 36.1% pre-frail, and 18.2% frail; 34.8% had a KPS ≥ 90, 32.9% had a KPS of 80, and 32.3% had a KPS ≤ 70. The median OS was 17.9 months. Pre-frail/frail patients had worse OS compared to robust patients (adjusted hazard ratio [HR] 2.09, 95% CI, 1.31-3.34) and were more likely to be hospitalized (adjusted odds ratio [OR] 2.21, 95% CI, 1.09-4.48), functionally decline (adjusted OR 2.29, 95% CI, 1.09-4.78), and experience grade ≥ 3 hematologic toxicity (adjusted OR 5.18, 95% CI, 1.02-26.03). KPS was only associated with OS.

Our frailty index was associated with OS, hospitalization, functional decline, and hematologic AEs among older adults with aNSCLC receiving systemic therapies, while KPS was only associated with OS. Pretreatment frailty assessment may help identify older adults at risk for poor outcomes to optimize decision-making and supportive care.

Endometrial cancer incidence and related mortality are on the rise due to aging demographics. This population often presents with unfavorable features, such as myometrial invasion, non-endometrioid histology, high-grade tumors, worse prognosis, etc. The role of age as an independent prognostic factor is still debated, and screening tools addressing frailty emerge as pivotal in guiding treatment decisions; however, they are still underutilized. Treatment disparities are evident in the case of older patients with endometrial cancer, who frequently receive suboptimal care, hindering their survival. Radiotherapy and minimally invasive surgical approaches could be performed in older patients. Data on chemotherapy and immunotherapy are scarce, but their potential remains promising and data are being gathered by recent trials, contingent on optimal patient selection through geriatric assessments. Overall, we recommend personalized, screening tool-guided approaches, adherence to guideline-recommended treatments, and inclusion of older people in clinical trials to help identify the best course of treatment.

Screening for frequent hospitalizations in the community can help prevent super-utilizers from growing in the inpatient population. However, the determinants of frequent hospitalizations have not been systematically examined, their operational definitions have been inconsistent, and screening among community members lacks tools. Nor do we know if what determined frequent hospitalizations before COVID-19 continued to be the determinant of frequent hospitalizations at the height of the pandemic. Hence, the current study aims to identify determinants of frequent hospitalization and their screening items developed from the Comprehensive Geriatric Assessment (CGA), as our 273-item CGA is too lengthy to administer in full in community or primary care settings. The stability of the identified determinants will be examined in terms of the prospective validity of pre-COVID-selected items administered at the height of the pandemic.

Comprehensive Geriatric Assessments (CGAs) were administered between 2016 and 2018 in the homes of 1,611 older adults aged 65+ years. Learning models were deployed to select CGA items to maximize the classification of different operational definitions of frequent hospitalizations, ranging from the most inclusive definition, wherein two or more hospitalizations over 2 years, to the most exclusive, wherein two or more hospitalizations must appear during year two, reflecting different care needs. In addition, the CGA items selected by the best-performing learning model were then developed into a random-forest-based scoring system for assessing frequent hospitalization risk, the validity of which was tested during 2018 and again prospectively between 2022 and 2023 in a sample of 329 older adults recruited from a district adjacent to where the CGAs were initially performed.

Seventeen items were selected from the CGA by our best-performing algorithm (DeepBoost), achieving 0.90 AUC in classifying operational definitions of frequent hospitalizations differing in temporal distributions and care needs. The number of medications prescribed and the need for assistance with emptying the bowel, housekeeping, transportation, and laundry were selected using the DeepBoost algorithm under the supervision of all operational definitions of frequent hospitalizations. On the other hand, reliance on walking aids, ability to balance on one's own, history of chronic obstructive pulmonary disease (COPD), and usage of social services were selected in the top 10 by all but the operational definitions that reflect the greatest care needs. The prospective validation of the original risk-scoring system using a sample recruited from a different district during the COVID-19 pandemic achieved an AUC of 0.82 in differentiating those rehospitalized twice or more over 2 years from those who were not.

A small subset of CGA items representing one's independence in aspects of (instrumental) activities of daily living, mobility, history of COPD, and social service utilization are sufficient for community members at risk of frequent hospitalization. The determinants of frequent hospitalization represented by the subset of CGA items remain relevant over the course of COVID-19 pandemic and across sociogeography.

Few studies have evaluated the potential effects of aging-related conditions like frailty in older adults with cancer on informal caregivers. Our objective was to evaluate the association between the sum total of the aging-related conditions of older adults with non-muscle-invasive bladder cancer (NMIBC) and the strain reported by their informal caregivers.

We conducted an explanatory sequential mixed methods cross-sectional survey study that recruited 81 dyads of older adults with NMIBC (age ≥ 65 at diagnosis) and their informal caregivers. Our outcome was measured by the Caregiver Strain Index (CSI), a self-reported measure of informal caregivers. Our exposure was the patient's deficit accumulation index (DAI), a validated composite measure of frailty derived from a geriatric assessment. A multivariable negative binomial regression was conducted to model CSI. We conducted qualitative thematic content analysis of responses to open-ended survey questions to understand specific types of caregiver strain and to identify coping strategies.

Mean ages of patients and caregivers were 79.4 years and 72.5 years, respectively. Most caregivers were spouses (75.3 %) and lived with the patient (80.2 %). Of patients, 54.3 % were robust, 29.6 % were pre-frail, and 16.1 % were frail. In the multivariable model, we found that patient DAI was significantly associated with CSI (adjusted incidence rate ratio 1.05, 95 % CI 1.02-1.09). The top three sources of strain identified by caregivers were emotional adjustments, medical management, and family adjustments. Coping strategies for each included self-management of emotions, self-education about bladder cancer, and social support, respectively.

In this cross-sectional study, we found that worsening frailty in an older adult with NMIBC was associated with greater informal caregiver strain. Informal caregivers reported challenges with emotional management, family dynamics, and medical tasks. These findings may inform longitudinal research and interventions to support informal caregivers who provide care for older adults with NMIBC.

Older adults with cancer heterogeneously experience health care, treatment, and symptoms. Geriatric assessment (GA) offers a comprehensive evaluation of an older individual's health status and can predict cancer-related outcomes in individuals with solid tumors and those with hematologic malignancies. In the last decade, randomized controlled trials have demonstrated the benefits of GA and GA management (GAM), which uses GA information to provide tailored intervention strategies to address GA impairments (e.g., implementing physical therapy for impaired physical function). Multiple phase 3 clinical trials in older adults with solid tumors and hematologic malignancies have demonstrated that GAM improves treatment completion, quality of life, communication, and advance care planning while reducing treatment-related toxicity, falls, and polypharmacy. Nonetheless, implementation and uptake of GAM remain challenging. Various strategies have been proposed, including the use of GA screening tools, to identify patients most likely to benefit from GAM, the systematic engagement of the oncology workforce in the delivery of GAM, and the integration of technologies like telemedicine and mobile health to enhance the availability of GA and GAM interventions. Health inequities in minoritized groups persist, and systematic GA implementation has the potential to capture social determinants of health that are relevant to equitable care. Caregivers play an important role in cancer care and experience burden themselves. GA can guide dyadic supportive care interventions, ultimately helping both patients and caregivers achieve optimal health.

Supporting older adults with advanced cancer to better understand their disease and its prognosis is important for shared decision-making. Social support is a potentially modifiable factor that may influence disease understanding. In this study, we examined the associations of quantity and quality of social support with patients' beliefs about the curability of their advanced cancer.

We performed a secondary analysis of a cluster-randomized trial that recruited older adults aged ≥70 with advanced incurable cancer. At enrollment, patients completed the Older Americans Resources and Services (OARS) Medical Social Support form that measures both quantity (number of close friends and relatives) and quality of social support. Quality of social support was measured using 12 questions in instrumental and emotional support, each ranging from 1 (none of the time) to 5 (all of the time). Higher cumulative scores indicated greater quality of support. For beliefs about curability, patients were asked, "What do you believe are the chances that your cancer will go away and never come back with treatment?" Responses were 0 %, <50 %, 50/50, >50 %, and 100 %. Ordinal logistic regression was used to investigate the association of quantity and quality of social support with beliefs about curability, adjusting for potential confounders.

We included 347 patients; mean age was 76.4 years and 91 % were white. Quantity of social support was not associated with belief in curability [adjusted odds ratio (AOR) 1.03, 95 % confidence interval (CI) (0.92, 1.16)]. For every unit increase in the quality of social support (OARS Medical Social Support score), the odds of believing in curability decreased by 26.7 % [AOR 0.73, 95 % CI (0.56, 0.97)].

Our study demonstrated that the quality, but not the quantity, of social support was associated with patients' beliefs about curability. These findings suggest that bolstering social support may directly enhance disease understanding. This insight informs supportive care interventions that specifically address disease comprehension among patients.

Older adults with cancer facing competing treatments must prioritize between various outcomes. This study assessed health outcome prioritization among older adults with cancer starting chemotherapy.

Secondary analysis of a randomized trial addressing vulnerabilities in older adults with cancer. Patients completed three validated outcome prioritization tools: 1) Health Outcomes Tool: prioritizes outcomes (survival, independence, symptoms) using a visual analog scale; 2) Now vs. Later Tool: rates the importance of quality of life at three times-today versus 1 or 5 years in the future; and 3) Attitude Scale: rates agreement with outcome-related statements. The authors measured the proportion of patients prioritizing various outcomes and evaluated their characteristics.

A total of 219 patients (median [range] age 71 [65-88], 68% with metastatic disease) were included. On the Health Outcomes Tool, 60.7% prioritized survival over other outcomes. Having localized disease was associated with choosing survival as top priority. On the Now vs. Later Tool, 50% gave equal importance to current versus future quality of life. On the Attitude Scale, 53.4% disagreed with the statement "the most important thing to me is living as long as I can, no matter what my quality of life is"; and 82.2% agreed with the statement "it is more important to me to maintain my thinking ability than to live as long as possible".

Although survival was the top priority for most participants, some older individuals with cancer prioritize other outcomes, such as cognition and function. Clinicians should elicit patient-defined priorities and include them in decision-making.

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.

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.

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).

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.

Treatment for breast cancer (BC) can lead to debilitating symptoms that can reduce outcomes and quality of life (QoL). Symptom surveillance using a remote symptom monitoring (RSM) platform enables the capture and reporting of patient-reported outcomes (PROs) from home. Women with BC used an RSM platform to complete weekly surveys and report any symptoms experienced during treatment. Symptoms reported as moderate/severe generated alerts to the clinical team. Clinical actions in response to the alert were captured. Results highlighted the value of data generated from a PRO-generated alert system to characterize longitudinal symptom burden and QoL in real-world BC practice, particularly in patients with poor functional status. The most prevalent symptoms that resulted in alerts were pain, nausea/vomiting, neuropathy, fatigue, and constipation. Most women reported one or more moderate/severe symptoms that generated an alert with an average of two alerts per week. Patients with frail status had more alerts, worse QoL and higher treatment bother, indicating that frail patients may benefit from continuous monitoring of symptoms, function, and QoL over time. A case study of patients without pre-existing peripheral neuropathy showed the rapid trajectory from the first report of mild neuropathy until alerts were generated, making a case for early intervention.

This study aimed to assess whether physical functional decline in older women with early-stage breast cancer is driven by cancer, chemotherapy, or a combination of both.

We prospectively sampled three groups of women aged ≥ 65: 444 with early-stage breast cancer receiving chemotherapy (BC Chemo), 98 with early-stage breast cancer not receiving chemotherapy (BC Control), and 100 non-cancer controls (NC Control). Physical function was assessed at two timepoints (T1 [baseline] and T2 [3, 4, or 6 months]) using the Physical Functioning Subscale (PF-10) of the RAND 36-item Short Form. The primary endpoint was the change in PF-10 scores from T1 to T2, analyzed continuously and dichotomously (Yes/No, with "yes" indicating a PF-10 decline > 10 points, i.e., a substantial and clinically meaningful difference).

Baseline PF-10 scores were similar across all groups. The BC Chemo group experienced a significant decline at T2, with a median change in PF-10 of -5 (interquartile range [IQR], -20, 0), while BC Control and NC Control groups showed a median change of 0 (IQR, -5, 5; p < 0.001). Over 30% of BC Chemo participants had a substantial decline in PF-10 vs. 8% in the BC Control and 5% in the NC Control groups (p < 0.001).

In this cohort of older adults with early-stage breast cancer, the combination of breast cancer and chemotherapy contributes to accelerated functional decline. Our findings reinforce the need to develop interventions aimed at preserving physical function, particularly during and after chemotherapy.

The high prevalence of accelerated functional decline in older women undergoing breast cancer chemotherapy underscores the urgency to develop interventions aimed at preserving physical function and improving health outcomes.

NCT01472094, Hurria Older PatiEnts (HOPE) with Breast Cancer Study.

Older adults with hematologic malignancies (HM) have unique challenges due to age and fitness. The primary aim of this pilot study was to benchmark the ability of multiple biomarkers of aging (p16, epigenetic clocks, T cell gene expression profiles, and T cell receptor excision circles (TREC) to identify frailty as measured by a clinical impairment index (I2) in patients with HM.

70 patients newly diagnosed with HM had peripheral blood T lymphocytes (PBTL) analyzed for p16INK4a expression using the OSU_Senescence Nanostring CodeSet. PBTL epigenetic age was measured using 7 epigenetic clocks, and TREC were quantified by qRT-PCR. A composite clinical impairment index (I2) was generated by combining values from 11 geriatric metrics (Independent Activities of Daily Living (iADL), physical health score, Short Physical Performance Battery (SPPB), Body Mass Index (BMI), Eastern Cooperative Oncology Group (ECOG) performance status, self-reported KPS, Blessed Orientation Memory Concentration (BOMC), polypharmacy, Mental Health Inventory (MHI)-17, Medical Outcomes Study (MOS) subscales). Clinical frailty was defined as a score of 7 or greater on the I2.

Age-adjusted p16INK4a was similar in newly diagnosed patients and healthy controls (p > 0.1). PBTL p16INK4a levels correlated positively with the Hannum [r = 0.35, 95% CI (0.09-0.75); p adj. = 0.04] and PhenoAge [r = 0.37, 95% CI (0.11-0.59); p adj. = 0.04] epigenetic clocks. The discrimination ability of the I2 model was calculated using the area under the receiver operating characteristic curve (AUC). After adjusting for chronologic age and disease group, baseline p16INK4a [AUC = 0.76, 95% CI (0.56-0.98); p = 0.01], Hannum [AUC = 0.70, 95% CI (0.54-0.85); p = 0.01], PhenoAge [AUC = 0.71, 95% CI (0.55-0.86); p = 0.01], and DunedinPACE [AUC = 0.73, 95% CI (0.57-0.88); p =  < 0.01] measures showed the greatest potential to identify clinical frailty using the I2.

Our pilot data suggest that multiple blood-based aging biomarkers have potential to identify frailty in older adults with HM.

We developed the I2 index to quantify impairments across geriatric domains and discovered that PBTL p16, Hannum, PhenoAge, and DunedinPACE are promising indicators of frailty in HM.

The optimal means of assessing candidacy of older adults (≥65 years) for chimeric antigen receptor T-cell (CAR-T) therapy are unknown. We explored the role of a geriatric assessment (GA)-guided multidisciplinary clinic (GA-MDC) in selecting and optimizing older adults for CAR-T. Sixty-one patients were evaluated in a GA-MDC (median age, 73 years; range, 58-83). A nonbinding recommendation ("proceed" or "decline") regarding suitability for CAR-T was provided for each patient based on GA results. Fifty-three patients ultimately received CAR-T (proceed, n = 47; decline, n = 6). Among patients who received B-cell maturation antigen (BCMA)-directed (n = 11) and CD19-directed CAR-T (n = 42), the median overall survival (OS) was 14.2 months and 16.6 months, respectively. GA uncovered high rates of geriatric impairment among patients proceeding to CAR-T therapy, with fewer impairments in those recommended "proceed." Patients recommended "proceed" had shorter median length of stay (17 vs 31 days; P = .05) and lower rates of intensive care unit admission (6% vs 50%; P = .01) than those recommended "decline." In patients receiving CD19- and BCMA-directed CAR-T therapy, a "proceed" recommendation was associated with superior OS compared with "decline" (median, 16.6 vs 11.4 months [P = .02]; and median, 16.4 vs 4.2 months [P = .03], respectively). When controlling for Karnofsky performance status, C-reactive protein, and lactate dehydrogenase at time of lymphodepletion, the GA-MDC treatment recommendation remained prognostic for OS (hazard ratio, 3.26; P = .04). Patients optimized via the GA-MDC without serious vulnerabilities achieved promising outcomes, whereas patients with high vulnerability experienced high toxicity and poor outcomes after CAR-T therapy.

Older adults with chronic disease prioritize functional independence. We aimed to describe the feasibility of capturing functional disability and treatment toxicity among older adults with lung cancer using a longitudinal comprehensive geriatric assessment (CGA) and molecular biomarkers of aging.

This prospective study included adults ≥60 years with any newly diagnosed non-small-cell lung cancer. Participants were recruited from central Ohio (2018-2020). Study assessments included the Cancer and Aging Research Group CGA (CARG-CGA), short physical performance battery (SPPB), and the blessed orientation-memory concentration (BOMC) test at baseline, 3, 6, and 12 months. Activities of daily living (ADLs) and instrumental ADLs (IADLs), quality of life (QoL, PROMIS 10), and treatment toxicity were captured monthly. Stool and blood were collected to characterize the gut microbiome and age-related blood biomarkers.

This study enrolled 50 participants with an average age of 71.7 years. Ninety-two percent of participants were Caucasian, 58% were male, and all were non-Hispanic. Most had advanced stage (stage III/IV: 90%; stage I/II: 10%), with adenocarcinoma the predominant histologic subtype (68% vs. 24% squamous). First-line treatments included chemotherapy (44%), immune checkpoint inhibitors (ICIs, 22%), chemotherapy and ICIs (30%), or tyrosine kinase inhibitors (4%). The median baseline CARG toxicity score was 8 (range 2-12). Among patients with treatment-related toxicity (n = 49), 39 (79.6%) cases were mild (grade 1-2), and 10 (20.4%) were moderate to severe (≥ grade 3). Treatment toxicity was greater among those with a CARG score ≥8 (28.0% vs. 13.6%). Higher IADL independence, QoL, and SPPB scores at baseline were positively associated with Candidatus Gastranaerophilales bacterium, Lactobacillus rogosae, and Enterobacteria phage P4. Romboutsia ilealis, Streptococcus, and Lachnoclostridium sp An138 and T cell lag3 and cd8a were associated with worse IADLs, QoL, and SPPB scores at baseline.

A longitudinal CGA and biomarker collection is feasible among older adults undergoing lung cancer treatment. Gut microbe and T cell gene expression changes correlated with subjective and objective functional status assessments. Future research will test causality in these associations to improve outcomes through novel supportive care interventions to prevent functional disability.

Older patients with cancer are less likely to express their treatment preferences than younger patients. Question prompt lists (QPLs) facilitate communication between patients and physicians. Geriatric assessment (GA) is recommended when older patients with cancer make treatment decisions. This study estimated the effect size of a shared decision-making (SDM) support program combining QPLs with GA in terms of patients' subjective evaluation of the SDM process for a future definitive randomized controlled trial. We also evaluated the number and quality of aging-related communication during consultations, and feasibility and acceptability of the study for exploratory purposes.

This is a pilot study with randomized allocation and blind evaluation. Patients aged 65 years or older at the National Cancer Center Hospital, Tokyo, Japan, scheduled to discuss the changes of their treatment, were randomly assigned in a 1:1 ratio to the SDM support program or usual care. This program consisted of 30-60 min of face-to-face coaching, with QPLs and GA provided before the coaching. As the primary endpoint, the decisional conflict scores given by the patients immediately after the consultation were compared between the two groups. For the secondary endpoints, the number and quality of aging-related communications during the consultations were assessed by evaluators (blinded) using audio-recordings. Adherence, burden, and usefulness were assessed for evaluating feasibility and acceptability of the SDM support program.

Forty patients were enrolled. All patients completed the GA questionnaire, for which 70% did not require any individual assistance. Answering the questionnaires took approximately 11 min. The decisional conflict scores were mean [standard deviation (SD)]: 19.3 [10.8] vs. 18.0 [11.1] (effect size: Cohen's d = 0.12) for the SDM support program and usual care groups, respectively. The number of aging-related communications during the consultation for the new treatment was higher in the SDM support program group than the usual care (mean [SD]: 3.3 [1.2] vs. 2.2 [1.5], effect size: cohen's d = 1.32). Patients felt that the SDM support program was useful but not burdensome or difficult.

The SDM support program was considered useful and feasible for older patients and able to facilitate communication regarding aging-related concerns.

The study protocol was registered on September 23, 2020, in the UMIN Clinical Trials Registry (UMIN000041867).

Geriatric assessment (GA) is currently not a standard of cancer care across Canada. In the Canadian province of Saskatchewan, there are no known formal geriatric teams in outpatient oncology settings. Therefore, it is not known whether, how, and to what extent GA is performed in oncology clinics, or what supports are needed to carry out a GA. The objective of this study was to explore Saskatchewan oncology care providers' knowledge, perceptions, and practices regarding GA, and their perceived barriers to implementing formal GA.

In this mixed-methods study, oncology physicians and nurses within the Saskatchewan Cancer Agency (SCA) were invited to participate in an anonymous survey and individual open-ended interview. Quantitative survey data were analyzed using descriptive statistics; free-text responses provided in the survey were summarized. Data from interviews were analyzed using thematic analysis.

A total of 19 physicians and 30 clinic nurses participated in the survey (response rate: 24% [physicians] and 38.0% [nurses]). In terms of cancer treatment and management, the majority (74% of physicians and 62% of nurses) stated considerations for older adults are different than younger patients. More than half (53% of physicians and 58% of nurses) reported making treatment and management decisions primarily based on judgement versus validated tools. For physicians whose practices involve prescribing chemotherapy (16/19), 75% rarely or never use validated tools (e.g., CARG, CRASH) to assess risk of chemotoxicity for older patients. Lack of time and supporting staff and feeling unsure as to where to refer older patients for help or follow-up were the most commonly voiced anticipated barriers to implementing GA. Two physicians and six nurses (n = 8) participated in the open-ended interviews. Main themes included: (1) tension between knowing the importance of GA versus capacity and (2) buy-in.

Our findings review barriers and opportunities for implementing GA in oncology care in Saskatchewan and provides foundational knowledge to inform efforts to promote personalized medicine and to optimize cancer care for older adults with cancer in this region.

Therapeutic options in oncology keep on expanding. Nonetheless, older adults are underrepresented in clinical trials and those enrolled often have a better health status than their average peers, resulting in a lack of representative evidence for this heterogenous population. The inclusion of older patients and a uniform categorization of "frailty" is becoming increasingly urgent. Standardized tools could contribute to the quality and comparability of clinical trials and facilitate clinical decisions. The aim of this literature review was to elaborate an overview of the use of geriatric evaluation (GE) methods in clinical cancer research.

We performed a literature review of the PubMed database. Clinical pharmacotherapy studies that applied or evaluated a clearly defined system for the GE of oncological patients were included. Data retrieved encompassed the applied GE method(s), cancer type(s), and pharmacotherapy investigated, the number of included patients, study type, year of publication, as well as the primary purpose of the GE. The GEs used most frequently were depicted in more depth.

In this literature review, 103 publications were selected for inclusion. The biggest proportion of studies (36%, n = 34) used clearly defined, but not previously validated, GE methods (study-specific GE). Standardized GE methods encountered in at least five publications were the G8 screening test (applied in 18% of included studies, n = 17), the Balducci score (7%, n = 7), and a geriatric assessment based on Hurria (5%, n = 5). The primary purpose of GE was predominantly an appraisal of its potential role in pharmacotherapy optimization. The GE also served as baseline and outcome measure, inclusion/exclusion criterion, factor for stratified randomization, and to determine treatment allocation.

The wide range of GE methods used across studies make direct comparisons difficult, and many methods are poorly characterized and/or not previously validated. The further inclusion of representative older patients in clinical trials combined with the use of a standardized GE could help clinicians in the decision-making process.

Food access is associated with higher gastrointestinal (GI) cancer mortality; however, its association with frailty, which is a predictor of premature mortality among older adults with cancer, is less understood.

The authors included 880 adults aged 60 years and older who were recently diagnosed with GI cancers and were undergoing self-reported geriatric assessment at their first prechemotherapy visit to the University of Alabama at Birmingham oncology clinic. Food access was measured using the 2019 US Department of Agriculture Economic Research Service designation low-income, low-access (LILA), classifying census tracts based on income and/or access to food stores at various distances. The primary outcome was frailty on the CARE (Cancer and Aging Resilience Evaluation) Frailty Index, a composite of the proportion of impaired geriatric assessment measures. The authors examined the LILA-frailty association with modified Poisson regression accounting for census-tract clustering.

The median patient age was 69 years, 58.1% were men, 22.5% were non-Hispanic Black, 29.2% had colorectal cancer, 28.0% had pancreatic cancer, 70.1% presented with stage III/IV disease, and 34.9% were frail. A higher proportion in LILA areas were non-Hispanic Black (44.1% vs. 10.8%; p < .001) and had less education (high school or less: 48.1% vs. 37.9%; p = .020). Adjusting for age, race and ethnicity, sex, cancer type and stage, and education, an LILA designation was associated with 58% greater odds of worsening frailty status (95% confidence interval, 1.18-2.12). An analysis of LILA subcategories revealed that associations were maintained across all LILA measures.

Poor food access was associated with a greater risk of frailty among newly diagnosed older adults with GI cancers before they received systemic treatment. Intervening on local food access, particularly in LILA areas, may be a target for improving rates of frailty and promoting health equity in this population.

Longitudinal change in patient-reported cognitive complaints (CC) in older adults with cancer is poorly understood. The purpose of this study was to evaluate early longitudinal CC and predictors among older adults with cancer.

We examined early CC change on the PROMIS® Short Form4a Cognitive Function among adults ≥ 60 years with GI cancer enrolled in the Cancer and Aging Resilience Evaluation (CARE) undergoing geriatric assessment (GA) at baseline and one 3-6-month follow-up. Multivariable linear regression examined associations of demographics, socioeconomics, GA domains, baseline cognitive score, and treatment toxicities on follow-up cognitive score. Bayesian analysis of covariance (ANCOVA) determined best fitting model.

A total of 218 participants were included. The median follow-up was 3.7 months, the mean age was 69.2 ± 7.1, and 57.3% were male. The most common cancer was colorectal (30.7%) with most stage III/IV (73.7%). About half (51.8%) had stable cognition baseline to follow-up (follow-up t-score ± 5 points of baseline), 20.6% improved (≥ 5 increase), and 27.5% declined (≥ 5 decrease). After adjustment, there were no significant baseline predictors of follow-up cognitive t-score. Baseline t-score was the best-fitting predictor of follow-up t-score.

In this first study, examining early change in CC among older adults with cancer, ~ 28% exhibited cognitive decline. Baseline cognition is the most important early predictor of follow-up cognition. Longer follow-up is needed to identify long-term predictors of CC change in cancer survivors.

Cognitive decline, even early, may occur in many older adults with cancer. Baseline and regular follow-up assessments of cognitive symptoms are an important component of survivorship care.

Older women with breast cancer frequently experience toxicity-related hospitalizations during adjuvant chemotherapy. Although the geriatric assessment can identify those at risk, its use in clinic remains limited. One simple, low-cost marker of vulnerability in older persons is fall history. Here, the authors examined whether falls prechemotherapy can identify older women at risk for toxicity-related hospitalization during adjuvant chemotherapy for breast cancer.

In a prospective study of women >65 years old with stage I-III breast cancer treated with adjuvant chemotherapy, the authors assessed baseline falls in the past 6 months as a categorical variable: no fall, one fall, and more than one fall. The primary end point was incident hospitalization during chemotherapy attributable to toxicity. Multivariable logistic regression was used to examine the association between falls and toxicity-related hospitalization, adjusting for sociodemographic, disease, and geriatric covariates.

Of the 497 participants, 60 (12.1%) reported falling before chemotherapy, and 114 (22.9%) had one or more toxicity-related hospitalizations. After adjusting for sociodemographic, disease, and geriatric characteristics, women who fell more than once within 6 months before chemotherapy had greater odds of being hospitalized from toxicity during chemotherapy compared to women who did not fall (50.0% vs. 20.8% experienced toxicity-related hospitalization, odds ratio, 4.38; 95% confidence interval, 1.66-11.54, p = .003).

In this cohort of older women with early breast cancer, women who experienced more than one fall before chemotherapy had an over 4-fold increased risk of toxicity-related hospitalization during chemotherapy, independent of sociodemographic, disease, and geriatric factors.

Geriatric assessment (GA)-guided supportive care programs have been successful in improving treatment outcomes for older adults with solid-organ cancers. This study aimed to evaluate the feasibility of a GA-guided supportive care program among older adults treated for multiple myeloma (MM).

The study utilized an existing registry of adults with plasma cell disorders at the University of North Carolina. Patients with MM, aged 60 or older, and having a GA-identified deficit in one or more problem area were offered referrals to supportive care resources during routine visits. Problem areas included physical function deficits, polypharmacy, and anxiety or depression. Patients with physical function deficits were offered referral to physical therapy (PT), those with polypharmacy to an Oncology Clinical Pharmacist Practitioner (CPP), and those with mental health symptoms to the Comprehensive Cancer Support Program (CCSP).

Of the 58 individuals identified as having at least one deficit on the GA, PT was the most commonly identified relevant resource (79%), followed by CPP visits (57%). Among individuals that were offered referral(s) to at least one new supportive care resource, the acceptance rate was 50%. Referral acceptance rates were highest among those recommended for a CPP visit (55% of those approached) and lowest for CCSP (0%).

The study examined the feasibility and acceptability of a referral program for supportive care resources among older adults with MM who have deficits on GA. The most commonly identified deficit was physical functioning, followed by polypharmacy and mental health. The study found that physical interventions and referrals to CPPs were the most accepted interventions. However, the low proportion of patients who accepted physical therapy referrals indicates the need for tailored and more personalized approaches. Further research is needed to explore the feasibility and impact of supportive care referral programs for older adults with MM.