Examining five- and ten-year survival in older women with breast cancer using cancer-specific geriatric assessment

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis

Background

Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools.

objectives

This study aimed to develop a prognostic and treatment guidance tool tailored to older adult patients using artificial intelligence (AI) and a combination of clinical and biological features.

Methods

A retrospective analysis was conducted on data from women aged 70+ years with HER2-negative early-stage breast cancer treated at the French Léon Bérard Cancer Center between 1997 and 2016. Manifold learning and machine learning algorithms were applied to uncover complex data relationships and develop predictive models. Predictors included age, BMI, comorbidities, hemoglobin levels, lymphocyte counts, hormone receptor status, Scarff-Bloom-Richardson grade, tumor size, and lymph node involvement. The dimension reduction technique PaCMAP was used to map patient profiles into a 3D space, allowing comparison with similar cases to estimate prognoses and potential treatment benefits.

Results

Out of 1229 initial patients, 793 were included after data refinement. The selected predictors demonstrated high predictive efficacy for 5-year mortality, with mean area under the curve scores of 0.81 for Random Forest Classification and 0.76 for Support Vector Classifier. The tool categorized patients into prognostic clusters and enabled the estimation of treatment outcomes, such as chemotherapy benefits. Unlike traditional models that focus on isolated factors, this AI-based approach integrates multiple clinical and biological features to generate a comprehensive biomedical profile.

Conclusions

This study introduces a novel AI-driven prognostic tool for older adult patients with breast cancer, enhancing treatment guidance by leveraging advanced machine learning techniques. The model provides a more nuanced understanding of disease dynamics and therapeutic strategies, emphasizing the importance of personalized oncology care.

Avoiding Locoregional Overtreatment in Older Adults With Early-Stage Breast Cancer

Advances in the treatment of older women with early-stage breast cancer, particularly opportunities for de-escalation of therapy, have afforded patients and providers opportunity to individualize care. As the majority of women ≥65 have estrogen receptor-positive, HER2-negative disease, locoregional therapy (surgery and/or radiation) may be tailored based on a patient's physiologic age to avoid either over- or undertreatment. To determine who would derive benefit from more or less intensive therapy, an accurate assessment of an older patient's physiologic age and incorporation of patient-specific values are paramount. While there now exist well-validated geriatric assessment tools whose use is encouraged by the American Society of Clinical Oncology when considering systemic therapy, these instruments have not been widely integrated into the locoregional breast cancer care model. This review aims to highlight the importance of assessing frailty and the concepts of and over- and undertreatment, in the context of trial data supporting opportunities for safe deescalation of locoregional therapy, when treating older women with early-stage breast cancer.

Impact of frailty on long-term outcomes after liver resection for hepatocellular carcinoma in elderly patients: A prospective study

BACKGROUND

sFrailty affects short-term outcomes after liver resection in elderly patients. However, frailty's effects on long-term outcomes after liver resection in elderly patients with hepatocellular carcinoma (HCC) are unknown.

METHODS

This prospective, single-center study included 81 independently living patients aged ≥65 years scheduled to undergo liver resection for initial HCC. Frailty was evaluated according to the Kihon Checklist, a phenotypic frailty index." We investigated and compared postoperative long-term outcomes after liver resection between patients with and without frailty.

RESULTS

Of the 81 patients, 25 (30.9%) were frail. The proportion of patients with cirrhosis, high serum alpha-fetoprotein level (≥200 ng/mL), and poorly differentiated HCC was higher in the frail group than in the nonfrail group (n = 56). Among the patients with postoperative recurrence, the incidence of extrahepatic recurrence was higher in the frail group than in the nonfrail group (30.8% vs. 3.6%, P = 0.028). Moreover, the proportion of patients who underwent repeat liver resection and ablation for recurrence who met the Milan criteria tended to be lower in the frail group than in the nonfrail group. Although there was no difference in disease-free survival between the two groups, the overall survival rate in the frail group was significantly worse than that in the nonfrail group (5-year overall survival: 42.7% vs. 77.2%, P = 0.005). Results of the multivariate analysis indicated that frailty and blood loss were independent prognostic factors for postoperative survival.

CONCLUSION

Frailty is associated with unfavorable long-term outcomes after liver resection in elderly patients with HCC.

Prevalence of frailty and its association with clinical outcomes in myeloproliferative neoplasms: a population-based study

Clinical implications of frailty in myeloproliferative neoplasms (MPN), including essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF), are unknown. In this population-based study, all incident cases of MPN from the Ontario cancer registry between 2004 and 2019 (N = 10 336; ET = 5108; PV = 3843; MF = 1385) and their matched controls (for age, sex, residence, and income) in a 1:4 ratio were included. Baseline frailty measured using the Johns Hopkins Adjusted Clinical Groups frailty indicator and McIsaac frailty index (mFI), categorized as fit, prefrail, or frail if mFI <0.10, 0.11 to 0.20, >0.20), was significantly higher in ET, PV, and MF compared with matched controls (standardized mean difference of 0.27, 0.27, and 0.28). Over 23%, 20%, and 34% of patients with ET, PV, and MF were frail or prefrail despite a younger age (<65 years) or minimal comorbidities. In Cox proportional regression, frailty was independently associated with worse overall survival (OS) after adjusting for age, sex, and comorbidities compared with mFI-fit patients. The hazard ratios (95% confidence interval) for OS for mFI-prefrail and mFI-frail patients were: 1.6 (1.3-1.9) and 3.6 (2.9-4.4) in ET, 1.3 (1.1-1.5) and 2.7 (2.1-3.4) in PV, and 1.2 (1.0-1.5) and 2.0 (1.5-2.7) in MF. Patients with MPN have a substantially higher prevalence of frailty compared with matched controls, which is associated with reduced OS, independent of age or comorbidities.

Comprehensive Geriatric Assessment for Older Women with Early-Stage (Non-Metastatic) Breast Cancer-An Updated Systematic Review of the Literature

BACKGROUND

A previous systematic review by our team (2012) undertook comprehensive geriatric assessment (CGA) in breast cancer and concluded there was not sufficient evidence to instate CGA as mandatory practice. SIOG/EUSOMA guidelines published in 2021 advocate the use of CGA in breast cancer patients. The aim is to perform an updated systematic review of the literature.

METHODS

A systematic review of studies published between 2012 and 2022 that assessed the use of CGA in breast cancer was performed on Cochrane, PubMed and Embase.

RESULTS

A total of 18 articles including 4734 patients with breast cancer were identified. The studies covered four themes for use of CGA in breast cancer: (1) to determine factors influencing survival (2) as an adjunct to treatment decision-making (3) to measure quality of life, and (4) to determine which tools should be included. There was evidence to support the use of CGA in themes 1-3; however, it is uncertain which assessment tools are best to use (theme 4).

CONCLUSIONS

CGA can be used to determine factors affecting survival and quality of life in breast cancer patients and can therefore be used to aid treatment decision-making. Further work is required to determine gold standard CGA.

Adjuvant therapeutic strategy decision support for an elderly population with localized breast cancer: A monocentric cohort retrospective study

Guidelines for the management of elderly patients with early breast cancer are scarce. Additional adjuvant systemic treatment to surgery for early breast cancer in elderly populations is challenged by increasing comorbidities with age. In non-metastatic settings, treatment decisions are often made under considerable uncertainty; this commonly leads to undertreatment and, consequently, poorer outcomes. This study aimed to develop a decision support tool that can help to identify candidate adjuvant post-surgery treatment schemes for elderly breast cancer patients based on tumor and patient characteristics. Our approach was to generate predictions of patient outcomes for different courses of action; these predictions can, in turn, be used to inform clinical decisions for new patients. We used a cohort of elderly patients (≥ 70 years) who underwent surgery with curative intent for early breast cancer to train the models. We tested seven classification algorithms using 5-fold cross-validation, with 80% of the data being randomly selected for training and the remaining 20% for testing. We assessed model performance using accuracy, precision, recall, F1-score, and AUC score. We used an autoencoder to perform dimensionality reduction prior to classification. We observed consistently better performance using logistic regression and linear discriminant analysis models when compared to the other models we tested. Classification performance generally improved when an autoencoder was used, except for when we predicted the need for adjuvant treatment. We obtained overall best results using a logistic regression model without autoencoding to predict the need for adjuvant treatment (F1-score = 0.869).

Measuring Frailty Using Patient-Reported Outcomes (PRO) Data: A Feasibility Study in Patients with Multiple Myeloma

PURPOSE

The objective of this retrospective study was to determine the feasibility of measuring frailty using patient responses to relevant EORTC QLQ-C30 items as proxy criteria for the Fried Frailty Phenotype, in a cohort of patients with Relapsed/Refractory Multiple Myeloma (RRMM).

METHODS

Data were pooled from nine Phase III randomized clinical trials submitted to the FDA for regulatory review between 2010 and 2021, for the treatment of RRMM. Baseline EORTC QLQ-C30 responses were used to derive a patient-reported frailty phenotype (PRFP), based on the Fried definition of frailty. PRFP was assessed for internal consistency reliability, structural validity, and known groups validity.

RESULTS

This study demonstrated the feasibility of adapting patient responses to relevant EORTC QLQ-C30 items to serve as proxy Fried frailty criteria. Selected items were well correlated with one another and PRFP as a whole demonstrated adequate internal consistency reliability and structural validity. Known groups analysis demonstrated that PRFP could be used to detect distinct comorbidity levels and distinguish between different functional profiles, with frail patients reporting more difficulty in walking about, washing/dressing, and doing usual activities, as compared to their pre-frail and fit counterparts. Among the 4928 patients included in this study, PRFP classified 2729 (55.4%) patients as fit, 1209 (24.5%) as pre-frail, and 990 (20.1%) as frail.

CONCLUSION

Constructing a frailty scale from existing PRO items commonly collected in cancer trials may be a patient-centric and practical approach to measuring frailty. Additional psychometric evaluation and research is warranted to further explore the utility of such an approach.

Multidimensional Oncological Frailty Scale (MOFS): A New Quick-To-Use Tool for Detecting Frailty and Stratifying Risk in Older Patients with Cancer-Development and Validation Pilot Study

BACKGROUND

Frailty detection with comprehensive geriatric assessment (CGA) is of pivotal importance in older patients with cancer to avoid over- or under-treatment and to detect those at increased risk for poor outcomes. Several tools have been developed to capture the complexity of frailty, but only a few were explicitly conceived for older adults with cancer. The study aimed at developing and validating a multidimensional, easy-to-use diagnostic tool for early-risk stratification in patients with cancer, called the Multidimensional Oncological Frailty Scale (MOFS).

METHODS

In this single-center prospective study, we consecutively enrolled 163 older women (age ≥ 75 years) with breast cancer, screened with a G8 score ≤ 14 during the outpatient preoperative evaluation at our breast centre, as the development cohort. Seventy patients with different types of cancer admitted to our OncoGeriatric Clinic served as the validation cohort. Using stepwise linear regression analysis, we evaluated the relationship between Multidimensional Prognostic Index (MPI) and CGA items, and, finally, realized a screening tool based on the combination of the significant variables.

RESULTS

The mean age of the study population was 80.4 ± 5.8 years, while the mean age of the validation cohort was 78.6 ± 6.6 years [42 women (60%)]. A composite model of the Clinical Frailty Scale, G8, and hand grip strength test showed a strong correlation with MPI (R= -0.712, p < 0.001). The MOFS accuracy in the prediction of mortality was optimal in both the development and the validation cohorts (AUC 0.82 and 0.87; p < 0.001 and 0.003, respectively).

CONCLUSION

MOFS represents a new, accurate, quick-to-use frailty screening tool for stratifying the risk of mortality in geriatric cancer patients.

Geriatric assessment for older patients with breast cancer: A single-institution study

Introduction

Although geriatric assessment (GA) has been used for a long time in the field of geriatrics and internal medicine, there are few studies on its application in the field of breast surgery. Therefore, the utility of specific GA domains for the assessment of older patients with breast cancer remains unclear. The aim of the present study was to evaluate the association between specific GA domains and the survival rate of older patients with breast cancer.

Methods

We used the database of Peking Union Medical College Hospital to identify older patients who were newly diagnosed with breast cancer between 2012 and 2018 and retrospectively analysed the data of 541 patients aged ≥65 years. Patients with metastatic cancer and those with missing vital status data were excluded. The primary outcomes were overall survival (OS) and breast cancer-specific survival. The GA domains used in this study included functional status, comorbidities, and psychological state. Multivariate regression analysis was used to estimate hazard ratios for these three domains.

Results

After a median follow-up of 72 months, we observed a significant relationship between functional impairment and mortality (adjusted HR: 3.06, 95% confidence interval [CI]: 1.83-5.10, P<0.001). Similarly, patients with severe comorbidities (adjusted HR: 2.35; 95% CI: 1.16-4.75, P=0.017) and an impaired psychological state (adjusted HR: 2.82, 95% CI: 1.45-5.50, P=0.002) showed worse OS rates. Accordingly, addition of the three GA domains to the basic model, which included age, tumour stage, lymph node stage, and intrinsic molecular subtype as baseline variables, yielded higher C-statistics for mortality analysis (from 0.713 to 0.740).

Conclusion

To our knowledge, this is the first study to include specific GA domains in a prognostic model for older patients with breast cancer in China. Three domains, namely functional status, comorbidities, and psychological state, should be considered for survival analyses in this particular population. The full model including these three GA domains may be more accurate in predicting the survival of older patients with breast cancer.

[The place of support care]

Supportive care, in the context of breast cancer in the elderly, is part of standard oncogeriatric care. Nevertheless, the multidisciplinary reinforcement of the different transversal teams can support the global approach, that is essential to the quality of care and the life course. Evaluation is the basis of this management. As a result of this evaluation, the approach to sexual health is a novelty that is often insufficiently considered with elderly patients suffering from breast malignancy.

Preoperative nutrition and exercise intervention in frailty patients with gastric cancer undergoing gastrectomy

BACKGROUND

The frailty was associated with the worse surgical outcomes and poor prognosis in several cancers. Therefore, we aimed to identify the usefulness of nutrition and exercise intervention (NEI) in frailty patients with GC.

METHODS

We analyzed 58 frailty patients with GC who underwent radical surgery. Among these, 15 patients were performed NEI by nutritional and rehabilitation support team. We compared the surgical outcomes between NEI and non-NEI groups with frailty patients and evaluated the nutrition and rehabilitation markers in pre- and post-NEI groups.

RESULTS

The postoperative complication of NEI groups was 6.7% and less than that of non-NEI groups (p = 0.08). The mean postoperative hospital stay of NEI groups was 13.0 ± 1.0 days for NEI groups and significantly shorter than that of non-NEI groups (p = 0.03). The NLR was 4.3 ± 0.6 for pre-NEI and significantly improved by NEI between pre- and post-NEI (p = 0.03).

CONCLUSION

We identified the clinical importance of NEI for improving the surgical outcomes in frailty patients with GC. Our findings highlight the potential clinical impact of optimizing treatment strategies to select and manage the frailty patients.

Age-related health deficits and five-year mortality among older, long-term cancer survivors

INTRODUCTION

Geriatric assessment evaluates multiple domains of health that, together, are superior to using chronologic age for predicting outcomes, such as hospitalization and mortality among patients with cancer. Most studies have not included comparison groups of individuals without cancer and assessed domains around the time of initial cancer diagnosis. Further, the potential for brief, self-reported measures to capture deficits that similarly predict mortality has not been well examined. This study compared age-related health deficit prevalence between older, long-term cancer survivors and individuals without a cancer history, and estimated associations between deficits and mortality risk among survivors.

MATERIALS AND METHODS

Analyses included participants in the Cancer Prevention Study (CPS)-II Nutrition Cohort who were cancer-free at enrollment in 1992/1993 and completed the Patient Reported Outcome Measurement Information System® (PROMIS®) global health questionnaire in 2011. Age-related deficits in five domains (comorbidities, functional status, mental health, malnutrition/weight loss, and social support) were self-reported. Cancer information was self-reported and confirmed via medical records or state cancer registries. Vital status through 2016 and cause of death was ascertained by linkage with the National Death Index.

RESULTS

Analyses included 9979 participants (median age = 80) diagnosed with invasive cancer 5-20 years prior to completing the 2011 survey and 63,578 participants without a cancer history (median age = 79). Overall deficits in the five domains were similar among long-term cancer survivors and controls. However, survivors of specific cancer types - non-Hodgkin lymphoma (NHL), lung, and kidney cancer - were more likely to report deficits in mental health and functional status than the control group. Among all survivors, each domain was independently associated with all-cause mortality, particularly functional status (hazard ratio [HR] = 2.02; 95% confidence interval [CI]: 1.80-2.27) and mental health (HR = 1.84; 95% CI: 1.65-2.04). Mortality risk increased with the number of deficits.

DISCUSSION

These results suggest that, several years after treatment, NHL, lung, and kidney cancer survivors are still more likely to experience age-related deficits compared to other similarly-aged individuals. Furthermore, results show that shorter, self-reported physical and mental health assessments, such as the PROMIS® global health questions, are predictive of mortality among older, long-term cancer survivors and, therefore, may be useful in clinical and research settings.

Falls, walking or balance problems, and limitations in activities of daily living (ADLs) among older endometrial cancer survivors

PURPOSE

Functional status deficits are important quality of life concerns for older cancer survivors. We examined the prevalence of falls, walking/balance problems, and limitations in activities of daily living (ADLs) among older women with a history of endometrial cancer.

METHODS

Cancer registry records from the Surveillance, Epidemiology, and End Results (SEER) program linked with Medicare Health Outcomes Survey (MHOS) data were used to identify endometrial cancer survivors aged ≥ 65 years who completed a survey ≥ 1 year after their cancer diagnosis (N = 3766), as well as an age- and race-matched group of women without a cancer history (N = 3766). We estimated prevalence ratios (PRs) to compare the prevalence of falls, walking or balance problems, and limitations in ADLs (bathing, dressing, eating, getting in/out of chairs, walking, using the toilet) between groups.

RESULTS

Difficulty with walking or balance was more common among survivors than the noncancer group (43% vs 36%; PR = 1.19; 95% CI: 1.10-1.27). Fall prevalence was similar between groups (endometrial cancer: 25%; noncancer: 26%; PR = 0.98; 95% CI: 0.89-1.08). Nearly half of endometrial cancer survivors (47%) reported at least one ADL limitation, with several activities (getting in/out of a chair, walking, bathing, using the toilet) more often limited among survivors than among women without cancer.

CONCLUSION

Functional impairments, especially problems with walking and/or balance, are common among older endometrial cancer survivors. Our results highlight the importance of addressing functional problems during the ongoing survivorship care of women with a history of endometrial cancer, with referral to rehabilitation or other relevant services when indicated.

Treatment of Metastatic Melanoma in the Elderly

PURPOSE OF REVIEW

This study aims to review the clinical experience of melanoma treatments in patients with advanced age.

RECENT FINDINGS

During the last decade, the treatment paradigm for melanoma has changed dramatically with the use of checkpoint inhibitors, oncolytic viruses, and targeted therapies. We reviewed both the clinical trial and real-world experience of these therapies in patients of advanced age, and discuss how a personalized approach should be taken for these patients with consideration of incidence and management of side effects. Although special consideration should be taken, immunotherapy, oncolytic viruses, and targeted therapy have shown efficacy and tolerability in older patients with melanoma.

OUP accepted manuscript

Background

Methods

Results

Conclusions

Associations between frailty and cancer-specific mortality among older women with breast cancer

PURPOSE

Frailty is assessed when making treatment decisions among older women with breast cancer (BC), which in turn impacts survival. We evaluated associations between pre-diagnosis frailty and risks of BC-specific and all-cause mortality in older women.

METHODS

We conducted a retrospective cohort study of Medicare beneficiaries ages ≥ 65 years with stage I-III BC using the Surveillance, Epidemiology and End Results-Medicare Health Outcome Survey Data Resource. Frailty was measured using the deficit-accumulation frailty index, categorized as robust, pre-frail, or frail, at baseline and during follow-up. Fine and Gray competing risk and Cox proportional hazards models were used to estimate subdistribution hazard ratios (SHR) and hazard ratios (HR) with 95% confidence intervals (CI) for BC-specific and all-cause mortality, respectively.

RESULTS

Among 2411 women with a median age of 75 years at BC diagnosis, 49.5% were categorized as robust, 29.4% were pre-frail and 21.1% were frail. Fewer frail women compared to robust women received breast-conserving surgery (52.8% vs. 61.5%, frail vs. robust, respectively) and radiation (43.5% vs. 51.8%). In multivariable analyses, degree of frailty was not associated with BC-specific mortality (frail vs robust SHR 1.47, 95% CI 0.97-2.24). However, frail women with BC had higher risks of all-cause mortality compared to robust women with BC (HR 2.32, 95% CI 1.84-2.92).

CONCLUSION

Among a cohort of older women with BC, higher degrees of frailty were associated with higher risk of all-cause mortality, but not BC-specific mortality. Future study should examine if preventing progression of frailty may improve all-cause mortality.

Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data

Most biomedical datasets, including those of 'omics, population studies, and surveys, are rectangular in shape and have few missing data. Recently, their sample sizes have grown significantly. Rigorous analyses on these large datasets demand considerably more efficient and more accurate algorithms. Machine learning (ML) algorithms have been used to classify outcomes in biomedical datasets, including random forests (RF), decision tree (DT), artificial neural networks (ANN), and support vector machine (SVM). However, their performance and efficiency in classifying multi-category outcomes of rectangular data are poorly understood. Therefore, we compared these metrics among the 4 ML algorithms. As an example, we created a large rectangular dataset using the female breast cancers in the surveillance, epidemiology, and end results-18 database, which were diagnosed in 2004 and followed up until December 2016. The outcome was the five-category cause of death, namely alive, non-breast cancer, breast cancer, cardiovascular disease, and other cause. We analyzed the 54 dichotomized features from ~45,000 patients using MatLab (version 2018a) and the tenfold cross-validation approach. The accuracy in classifying five-category cause of death with DT, RF, ANN, and SVM was 69.21%, 70.23%, 70.16%, and 69.06%, respectively, which was higher than the accuracy of 68.12% with multinomial logistic regression. Based on the features' information entropy, we optimized dimension reduction (i.e., reduce the number of features in models). We found 32 or more features were required to maintain similar accuracy, while the running time decreased from 55.57 s for 54 features to 25.99 s for 32 features in RF, from 12.92 s to 10.48 s in ANN, and from 175.50 s to 67.81 s in SVM. In summary, we here show that RF, DT, ANN, and SVM had similar accuracy for classifying multi-category outcomes in this large rectangular dataset. Dimension reduction based on information gain will increase the model's efficiency while maintaining classification accuracy.

Prediction of Other-Cause Mortality in Older Patients with Breast Cancer Using Comorbidity

Simple Summary

Selecting older patients for adjuvant breast cancer treatments is challenging as its benefits can be diminished by shorter life expectancies. In addition to age, comorbidity increases the risk of dying from other causes than breast cancer. Available prediction tools have either not adjusted for individual comorbidities or have shown inaccurate predictions when a higher number of comorbidities are present. Up to now, an optimal comorbidity score to be used in prediction tools has not been established. Therefore, this study aimed to assess the predictive value of the Charlson comorbidity index for other-cause mortality and to compare these predictions with using a simple comorbidity count. We found that the Charlson index performed similarly as comorbidity count. The use of comorbidity count in the development of new prediction tools for older patients with breast cancer is recommended as its simplicity enhances the tool’s applicability in clinical practice.

Abstract

Background: Individualized treatment in older patients with breast cancer can be improved by including comorbidity and other-cause mortality in prediction tools, as the other-cause mortality risk strongly increases with age. However, no optimal comorbidity score is established for this purpose. Therefore, this study aimed to compare the predictive value of the Charlson comorbidity index for other-cause mortality with the use of a simple comorbidity count and to assess the impact of frequently occurring comorbidities. Methods: Surgically treated patients with stages I-III breast cancer aged ≥70 years diagnosed between 2003 and 2009 were selected from the Netherlands Cancer Registry. Competing risk analysis was performed to associate 5-year other-cause mortality with the Charlson index, comorbidity count, and specific comorbidities. Discrimination and calibration were assessed. Results: Overall, 7511 patients were included. Twenty-nine percent had no comorbidities, and 59% had a Charlson score of 0. After five years, in 1974, patients had died (26%), of which 1450 patients without a distant recurrence (19%). Besides comorbidities included in the Charlson index, the psychiatric disease was strongly associated with other-cause mortality (sHR 2.44 (95%-CI 1.70–3.50)). The c-statistics of the Charlson index and comorbidity count were similar (0.65 (95%-CI 0.64–0.65) and 0.64 (95%-CI 0.64–0.65)). Conclusions: The predictive value of the Charlson index for 5-year other-cause mortality was similar to using comorbidity count. As it is easier to use in clinical practice, our findings indicate that comorbidity count can aid in improving individualizing treatment in older patients with breast cancer. Future studies should elicit whether geriatric parameters could improve prediction.

Cancer and Aging: Two Tightly Interconnected Biological Processes

Age is one of the main risk factors of cancer; several biological changes linked with the aging process can explain this. As our population is progressively aging, the proportion of older patients with cancer is increasing significantly. Due to the heterogeneity of general health and functional status amongst older persons, treatment of cancer is a major challenge in this vulnerable population. Older patients often experience more side effects of anticancer treatments. Over-treatment should be avoided to ensure an optimal quality of life. On the other hand, under-treatment due to fear of toxicity is a frequent problem and can lead to an increased risk of relapse and worse survival. There is a delicate balance between benefits of therapy and risk of toxicity. Robust biomarkers that reflect the body's biological age may aid in outlining optimal individual treatment regimens for older patients with cancer. In particular, the impact of age on systemic immunity and the tumor immune infiltrate should be considered, given the expanding role of immunotherapy in cancer treatment. In this review, we summarize current knowledge concerning the mechanistic connections between aging and cancer, as well as aging biomarkers that could be helpful in the field of geriatric oncology.

Predicting disease-related and patient-reported outcomes in older patients with breast cancer - a systematic review

The number of older patients with breast cancer has increased due to the aging of the general population. The use of a geriatric assessment in this population has been advocated in many studies and guidelines as it can be used to identify high risk populations for early mortality and toxicity. Additionally, geriatric parameters could predict relevant outcome measures. This systematic review summarizes all available evidence on predictive factors for various outcomes (disease-related and survival, toxicity, and patient-reported outcomes), with a special focus on geriatric parameters and patient-reported outcomes, in older patients with breast cancer. Studies were identified through systematic review of the literature published up to September 1st 2019 in the PubMed database and EMBASe. A total of 173 studies were included. Most studies investigated disease-related and survival outcomes (n = 123, 71%). Toxicity was investigated in 40 studies (23%) and a mere 15% (n = 26) investigated patient-reported outcomes. Various measures that can be derived from a geriatric assessment were predictive for survival endpoints. Furthermore, geriatric parameters were among the most frequently found predictors for toxicity and patient-reported outcomes. In conclusion, this study shows that geriatric parameters can predict survival, toxicity, and patient-reported outcomes in older patients with breast cancer. These findings can be used in daily clinical practice to identify patients at risk of early mortality, high risk of treatment toxicity or poor functional outcome after treatment. A minority of studies used relevant outcome measures for older patients, showing the need for studies that are tailored to the older population.

The Frailty Syndrome: A Critical Issue in Geriatric Oncology

The number of older adults with cancer is growing in the United States, and there is a relative paucity of data relating the presence of frailty with its outcomes of interest. The authors present the surgical oncology, radiation oncology, and medical oncology literature with respect to the presence of frailty in older adults with cancer. More research is needed to understand how the presence of frailty should be used by surgical, radiation, and medical oncologists to guide patient counseling and treatment planning.

Defining Undertreatment and Overtreatment in Older Adults With Cancer: A Scoping Literature Review

PURPOSE

The terms undertreatment and overtreatment are often used to describe inappropriate management of older adults with cancer. We conducted a comprehensive scoping review of the literature to clarify the meanings behind the use of the terms.

METHODS

We searched PubMed (National Center for Biotechnology Information), Embase (Elsevier), and CINAHL (EBSCO) for titles and abstracts that included the terms undertreatment or overtreatment with regard to older adults with cancer. We included all types of articles, cancer types, and treatments. Definitions of undertreatment and overtreatment were extracted, and categories underlying these definitions were derived through qualitative analysis. Within a random subset of articles, C.D. and K.P.L. independently performed this analysis to determine final categories and then independently assigned these categories to assess inter-rater reliability.

RESULTS

Articles using the terms undertreatment (n = 236), overtreatment (n = 71), or both (n = 51) met criteria for inclusion in our review (n = 256). Only 14 articles (5.5%) explicitly provided formal definitions; for the remaining, we inferred the implicit definitions from the terms' surrounding context. There was substantial agreement (κ = 0.81) between C.D. and K.P.L. in independently assigning categories of definitions within a random subset of 50 articles. Undertreatment most commonly implied less than recommended therapy (148; 62.7%) or less than recommended therapy associated with worse outcomes (88; 37.3%). Overtreatment most commonly implied intensive treatment of an older adult in whom the harms of treatment outweigh the benefits (38; 53.5%) or intensive treatment of a cancer not expected to affect an older adult in his/her remaining lifetime (33; 46.5%).

CONCLUSION

Undertreatment and overtreatment of older adults with cancer are imprecisely defined concepts. We propose new, more rigorous definitions that account for both oncologic factors and geriatric domains.

Significance of Frailty in Prognosis After Hepatectomy for Elderly Patients with Hepatocellular Carcinoma

BACKGROUND

The concept of frailty becomes important for patients who undergo surgery in this recent aging society. The aim of this study is to investigate the frailty as a prognostic factor in elderly patients with hepatocellular carcinoma (HCC) who underwent hepatectomy.

PATIENTS AND METHODS

A total of 92 patients over 75 years old who underwent hepatectomy were enrolled in this study. Frailty was defined as clinical frailty scale (CFS) ≥ 4. Patients were divided into two groups, i.e., frailty group (n = 21) and no-frailty group (n = 71), and clinicopathological features were compared between them.

RESULTS

The frailty group showed significant higher PIVKA-II level and larger tumor diameter (p < 0.05). CRP level and modified Glasgow prognostic score were significantly higher in the frailty group (p < 0.05). The frailty group showed higher rate of postoperative complications of Clavien-Dindo III (p = 0.06) and longer postoperative stay (p = 0.08). Cancer-specific, overall, and disease-free survival rates were significantly worse in the frailty group (p < 0.05). Frailty was detected as an independent prognostic factor on multivariate analysis of cancer-specific survival.

CONCLUSION

Frailty can estimate the prognosis of HCC patients who underwent hepatectomy.

Addressing frailty in patients with breast cancer: A review of the literature

Various studies have documented variation in the management of older patients with breast cancer, and some of this variation stems from different approaches to balancing the expected benefit of different treatments, with the ability of patients to tolerate them. Frailty is an emerging concept that can help to make clinical decisions for older patients more consistent, not least by providing a measure of 'biological' ageing. This would reduce reliance on 'chronological' age, which is not a reliable guide for decisions on the appropriate breast cancer care for older patients. This article examines the potential of frailty assessment to inform on breast cancer treatments. Overall, the current evidence highlights various benefits from implementing comprehensive geriatric assessment and screening for frailty in breast cancer patients. This includes a role in supporting the selection of appropriate therapies and improving physical fitness prior to treatment. However, there are challenges in implementing routine frailty assessments in a breast cancer service. Studies have used a diverse array of frailty assessment instruments, which hampers the generalisability of research findings. Consequently, a number of issues need to be addressed to clearly establish the optimal timing of frailty assessment and the role of geriatric medicine specialists in the breast cancer care pathway.

The association between social support and chemotherapy-related toxicity in older patients with cancer

OBJECTIVES

The goal of this study was to evaluate the relationship between social support (SS) and grade 3-5 chemotherapy-related toxicities among older adults with cancer.

METHODS

This is a secondary analysis of a prospective longitudinal study of patients aged 65+ with solid cancer which led to the development of a predictive model for grade 3-5 chemotherapy-related toxicity (the Cancer and Aging Research Group [CARG] Chemotherapy Toxicity Risk Score). SS was measured by a modified version of Medical-Outcome Study-Social Support Survey and grade 3-5 hematological and non-hematological toxicities were captured and graded using CTCAE version 3.0. Patients were categorized into those with poor (SS score ≤ 75) and good SS (score of 76-100). Multivariate polychotomous logistic regression was used to examine the associations between SS and chemotherapy-related toxicity with adjustment for the CARG Toxicity Risk Score.

RESULTS

Compared to patients with good SS, those with poor SS were less likely to have grade 3-5 toxicity, especially for non-hematological toxicity (adjusted OR = 0.52, p = .02). Patients who did not have someone to take them to the doctor "most" or "all of the time" were less likely to have grade 3-5 non-hematological toxicity compared to patients who had someone to take them to the doctor most or all of the time (adjusted OR = 0.32, p = .02).

CONCLUSION

Our study showed that patients with poor SS, especially those with less availability of someone to take them to doctors were less likely to have a documented grade 3-5 non-hematological toxicity.

Effects of cancer history on functional age and mortality

BACKGROUND

Cancer, its treatment, and associated adverse effects may accelerate the functional aging of cancer survivors. In the current study, the authors used geriatric assessment (GA) to compare the functional age of long-term cancer survivors with that of similarly aged women without a cancer history, and to examine whether functional age influences all-cause mortality differently between these 2 groups.

METHODS

Participants included 1723 cancer survivors and 11,145 age-matched, cancer-free women enrolled in the Iowa Women's Health Study in 1986 who completed the 2004 questionnaire (at ages 73-88 years). GA domain deficits included ≥2 physical function limitations, ≥2 comorbidities, poor general health, poor mental health, and underweight. The risk of all-cause mortality was estimated for deficits in each GA domain between 4 groups based on the cross-classification of the presence and/or absence of cancer history and GA domain deficit (the referent group was cancer-free women without a GA deficit).

RESULTS

Both cancer history and GA domain deficits significantly predicted 10-year mortality for all GA domains. Cancer survivors without deficits had a 1.3-fold to 1.4-fold risk of mortality, similar to the 1.1-fold to 1.7-fold risk noted among cancer-free women with deficits (all P < .05). Cancer survivors with deficits were found to have the highest mortality risk for 4 of 5 domains (hazard ratio range, 1.6-2.0). Mortality risk increased with the increasing number of GA deficits, which was greater in cancer survivors compared with cancer-free women.

CONCLUSIONS

Even without GA deficits, cancer survivors appear to have an excess risk of death compared with women without cancer, and these deficits add to mortality risk. Interventions are needed to maintain or improve functional/physiological capacity as women age, especially in cancer survivors.

Comprehensive Geriatric Assessment: Interprofessional Team Recommendations for Older Adult Women With Breast Cancer

BACKGROUND

Geriatric oncology incorporates comprehensive geriatric assessment (CGA) and traditional oncology care.

OBJECTIVES

The aims are to identify limitations reflected by mean scores on the CGA instruments and describe the CGA recommendations documented in the medical record.

METHODS

CGA was administered and consisted of the Timed Up and Go Test, the Activities of Daily Living Scale, the Instrumental Activities of Daily Living Scale, grip strength, falls, pain, the Brief Fatigue Inventory, the Pittsburgh Sleep Quality Index, the Geriatric Depression Scale, the Mini-Cog, and the Mini Nutritional Assessment. CGA recommendations were obtained from the medical record. Descriptive statistics were used to analyze the data.

FINDINGS

Most recommendations were for general cancer treatment, followed by fall referral/education.

Global cancer incidence in older adults, 2012 and 2035: A population-based study

Population ageing has substantially contributed to the rising number of new cancer cases worldwide. We document cancer incidence patterns in 2012 among older adults globally, and examine the changing magnitude of cancer in this age group over the next decades. Using GLOBOCAN 2012 data, we presented the number and proportion of new cancer cases, and the truncated age-standardised incidence rates among adults aged 65 years and older for all cancer sites combined and for the five most common cancer sites by world region. We calculated the incidence in 2035 by applying population projections, assuming no changes in rates. In 2012, 6.7 million new cancer cases (47.5% of all cancers) were diagnosed among older adults worldwide, with marked regional disparities. Nearly 48% of these cases occurred in less developed regions. Lung, colorectal, prostate, stomach and breast cancers represented 55% of the global incidence, yet distinct regional patterns were observed. We predict 14 million new cancer cases by 2035, representing almost 60% of the global cancer incidence. The largest relative increase in incidence is predicted in the Middle East and Northern Africa (+157%), and in China (+155%). Less developed regions will see an increase of new cases by 144%, compared to 54% in more developed regions. The expected increase in cancer incidence at older ages will have substantial economic and social impacts globally, posing considerable and unique challenge to healthcare systems in every world region, especially in those with limited resources and weaker health systems.

Frailty Prevalence and Characteristics in Older Adults with Hematologic Cancer: a Descriptive Study

Objective:

This study investigated the prevalence of frailty in older patients with hematologic cancer and assessed the association between older patients’ characteristics and frailty.

Methods:

This descriptive study enrolled 90 older patients undergoing treatment for hematological malignancies at an oncology hospital. Frailty was assessed with the Edmonton Frailty Scale as not frail (0–4), apparently vulnerable (5–6), mildly frail (7–8), moderately frail (9–10), and severely frail (11–17). The association of frailty and older patient characteristics and diagnosis was assessed by logistic regression.

Results:

The prevalence of frailty (mild, moderately, and severely) was 42.2%, and “apparently vulnerable” frailty was 60%. The mean scale score was 5.59 ± 3.13. Frailty was more prevalent in patients who were ≥75 years of age, had ≥4 children, were diagnosed with leukemia, and were diagnosed for ≥2 years. Gender, diagnosis, and employment were factors associated with the presence of frailty. Female gender and lack of employment were factors associated with a high risk of frailty. A diagnosis of multiple myeloma was associated with a low risk of frailty.

Conclusions:

The prevalence of frailty was high in older patients. Female and unemployed patients were at high risk for frailty. Frailty characteristics of older patients with hematologic cancer highlighted the need for comprehensive geriatric assessment and frailty screening, provided prevalence and characteristics of frailty in this group of patients during treatment, and highlighted the need for holistic care approach.

Impact of Age, Comorbidity, and FIGO Stage on Treatment Choice and Mortality in Older Danish Patients with Gynecological Cancer: A Retrospective Register-Based Cohort Study

Background

The number of older patients with cancer is increasing in general, and ovarian and endometrial cancer are to a large extent cancers of the elderly. Older patients with cancer have a high prevalence of comorbidity. Comorbidity and age may be predictive of treatment choice and mortality in older patients with cancer along with stage and performance status.

Objectives

The aim of this study was to describe comorbidity in a population of older Danish patients with gynecological cancer, and to evaluate the predictive value of comorbidity and age on treatment choice and cancer-specific and all-cause mortality.

Materials and methods

In this retrospective study, we included 459 patients aged ≥ 70 years. Patients were diagnosed with cervical, endometrial, or ovarian cancer from 1 January, 2007 to 31 December, 2011 and were evaluated and/or treated at Odense University Hospital. Comorbidity was assessed using the Charlson Comorbidity Index. Treatment was classified as curative intended, palliative intended, or no treatment.

Results

Age, International Federation of Gynecology and Obstetrics (FIGO) stage, and performance status were found to be significant predictors of treatment choice, while comorbidity was not. Multivariate analyses showed that both cancer-specific and all-cause mortality were significantly associated with treatment choice, FIGO stage, and performance status. Age was not associated with mortality, with the exception of ovarian cancer, where age was associated with all-cause mortality. Comorbidity was not an independent predictor of treatment choice or mortality.

Conclusions

In our population of older Danish patients with gynecological cancer, age, FIGO stage, and performance status were predictors of treatment choice, while comorbidity was not. Treatment choice, FIGO stage, and performance status were significantly associated with both cancer-specific and all-cause mortality. Age was only associated with mortality in ovarian cancer, while comorbidity was not associated with mortality.

Frailty in geriatric head and neck cancer: A contemporary review

OBJECTIVE

To provide a summary of the current frailty literature relating to head and neck cancer.

DATA SOURCES

Ovid MEDLINE, PubMed, Google Scholar.

METHODS

A comprehensive review of the literature was performed from 2000 to 2017 using key words frailty, elderly, geriatric, surgery, otolaryngology, head and neck cancer.

RESULTS

The aging population has led to an increased diagnosis of head and neck cancer in elderly patients. The prevalence of comorbidities, disabilities, geriatric syndromes and social issues can make treatment planning and management in this population challenging. Chronological age alone may not be the optimal approach to guiding treatment decisions, as there is marked heterogeneity amongst this age group. Individualization of treatment can be achieved by assessing for the presence of frailty, which has growing evidence as an important marker of health status in geriatric oncology. Frailty is a complex geriatric syndrome characterized by a state of increased vulnerability to stressors and is associated with morbidity, mortality, and treatment toxicity. Screening for frailty may provide an efficient method to identify those who would benefit from further assessment or pretreatment optimization, and to provide prognostic information to assist clinicians and patients in formulating the most ideal treatment plan for the elderly individual with head and neck cancer.

CONCLUSIONS

Frailty has emerged as an important concept in geriatric oncology, with wide significance in head and neck cancer. Incorporating frailty assessments into clinical practice may provide otolaryngologists pertinent information regarding health status and outcomes leading to optimal care of the elderly cancer patient. Laryngoscope, 128:E416-E424, 2018.

Overall survival in older patients with cancer

OBJECTIVES

A growing number of patients with cancer are older adults. We sought to identify the predictors for overall survival (OS) in older adults with solid tumour and haematological malignancies between January 2013 and December 2016.

METHODS

Retrospective cohort study. A comprehensive geriatric assessment was performed, with a median follow-up of 12.8 months.

ANALYSIS

univariate and multivariate Cox proportional hazards regression analysis.

RESULTS

In this study, among the 455 patients with last follow-up date or date of death, 152 (33.4%) died during the follow-up. The median follow-up is 12.8 months (range 0.2-51.1 months) and the median OS is 20.5 months (range 0.3-44.5 months). Among all older patients with cancer, predictors of OS included male gender, cancer stage, malnutrition, history of smoking, heavy alcohol use, frailty, weight loss, major depression, low body weight and nursing home residence. Traditional performance scores (Eastern Cooperative Oncology Group (ECOG) and Karnofsky Performance Scale (KPS)) were predictors of OS. Independent predictors included age >85 years and haematological malignancies. Among solid tumours (n=311) in addition to the above predictors, comorbidity, gait speed and vitamin D deficiency were associated with OS.

CONCLUSIONS

We identified specific geriatric factors associated with OS in older patients with cancer, and comparable in predictive ability to traditional performance scores such as KPS and ECOG. Prospective studies will be necessary to confirm our findings.

Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology

Purpose To provide guidance regarding the practical assessment and management of vulnerabilities in older patients undergoing chemotherapy. Methods An Expert Panel was convened to develop clinical practice guideline recommendations based on a systematic review of the medical literature. Results A total of 68 studies met eligibility criteria and form the evidentiary basis for the recommendations. Recommendations In patients ≥ 65 years receiving chemotherapy, geriatric assessment (GA) should be used to identify vulnerabilities that are not routinely captured in oncology assessments. Evidence supports, at a minimum, assessment of function, comorbidity, falls, depression, cognition, and nutrition. The Panel recommends instrumental activities of daily living to assess for function, a thorough history or validated tool to assess comorbidity, a single question for falls, the Geriatric Depression Scale to screen for depression, the Mini-Cog or the Blessed Orientation-Memory-Concentration test to screen for cognitive impairment, and an assessment of unintentional weight loss to evaluate nutrition. Either the CARG (Cancer and Aging Research Group) or CRASH (Chemotherapy Risk Assessment Scale for High-Age Patients) tools are recommended to obtain estimates of chemotherapy toxicity risk; the Geriatric-8 or Vulnerable Elders Survey-13 can help to predict mortality. Clinicians should use a validated tool listed at ePrognosis to estimate noncancer-based life expectancy ≥ 4 years. GA results should be applied to develop an integrated and individualized plan that informs cancer management and to identify nononcologic problems amenable to intervention. Collaborating with caregivers is essential to implementing GA-guided interventions. The Panel suggests that clinicians take into account GA results when recommending chemotherapy and that the information be provided to patients and caregivers to guide treatment decision making. Clinicians should implement targeted, GA-guided interventions to manage nononcologic problems. Additional information is available at www.asco.org/supportive-care-guidelines .

Head and Neck Cancer and the Elderly Patient

Management of head and neck cancer in the elderly patient is particularly challenging given the high morbidity associated with treatment. Surgery, radiotherapy, and chemotherapy have all been demonstrated as effective in older patients; however, older patients are more susceptible to treatment-induced toxicity, which can limit the survival benefits of certain interventions. This susceptibility is better associated with the presence of multiple comorbidities and decreasing functional status than with age alone. Screening tools allow for risk stratification, treatment deintensification, and even treatment avoidance in patients who are deemed at high-risk of being harmed by standard therapy.

Health-Related Quality of Life in a Predictive Model for Mortality in Older Breast Cancer Survivors

OBJECTIVES

To develop a predictive model and risk score for 10-year mortality using health-related quality of life (HRQOL) in a cohort of older women with early-stage breast cancer.

DESIGN

Prospective cohort.

SETTING

Community.

PARTICIPANTS

U.S. women aged 65 and older diagnosed with Stage I to IIIA primary breast cancer (N=660).

MEASUREMENTS

We used medical variables (age, comorbidity), HRQOL measures (10-item Physical Function Index and 5-item Mental Health Index from the Medical Outcomes Study (MOS) 36-item Short-Form Survey; 8-item Modified MOS Social Support Survey), and breast cancer variables (stage, surgery, chemotherapy, endocrine therapy) to develop a 10-year mortality risk score using penalized logistic regression models. We assessed model discriminative performance using the area under the receiver operating characteristic curve (AUC), calibration performance using the Hosmer-Lemeshow test, and overall model performance using Nagelkerke R² (NR).

RESULTS

Compared to a model including only age, comorbidity, and cancer stage and treatment variables, adding HRQOL variables improved discrimination (AUC 0.742 from 0.715) and overall performance (NR 0.221 from 0.190) with good calibration (p=0.96 from HL test).

CONCLUSION

In a cohort of older women with early-stage breast cancer, HRQOL measures predict 10-year mortality independently of traditional breast cancer prognostic variables. These findings suggest that interventions aimed at improving physical function, mental health, and social support might improve both HRQOL and survival.

Current Strategies of Endocrine Therapy in Elderly Patients with Breast Cancer

Currently, the growing population of the elderly is one of biggest problems in terms of increase in geriatric diseases. Lack of data from large prospective studies on geriatric breast cancer patients often makes it difficult for clinicians to make treatments decisions for them. Because both benefit and risk of treatment should be taken into account, treatment is usually determined considering life expectancy or comorbidities in elderly patients. Treatment of breast cancer is differentiated according to histologic classifications, and hormone therapy is even adopted for patients with metastatic breast cancer if tumor tissue expresses hormone receptors. Endocrine therapy can offer great benefit to elderly patients considering its equivalent efficacy to chemotherapy with fewer toxicities if it is appropriately used. Aromatase inhibitors are usually prescribed agents in hormone therapy for elderly breast cancer patients due to their physiology after menopause. Here, endocrine therapy for elderly patients with breast cancer in neoadjuvant, adjuvant, and palliative setting is reviewed along with predictive adverse events resulting from the use of hormone agents.

Frailty and cancer: Implications for oncology surgery, medical oncology, and radiation oncology

Answer questions and earn CME/CNE The concept of frailty has become increasingly recognized as one of the most important issues in health care and health outcomes and is of particular importance in patients with cancer who are receiving treatment with surgery, chemotherapy, and radiotherapy. Because both cancer itself, as well as the therapies offered, can be significant additional stressors that challenge a patient's physiologic reserve, the incidence of frailty in older patients with cancer is especially high-it is estimated that over one-half of older patients with cancer have frailty or prefrailty. Defining frailty can be challenging, however. Put simply, frailty is a state of extreme vulnerability to stressors that leads to adverse health outcomes. In reality, frailty is a complex, multidimensional, and cyclical state of diminished physiologic reserve that results in decreased resiliency and adaptive capacity and increased vulnerability to stressors. In addition, over 70 different measures of frailty have been proposed. Still, it has been demonstrated that frail patients are at increased risk of postoperative complications, chemotherapy intolerance, disease progression, and death. Although international standardization of frailty cutoff points are needed, continued efforts by oncology physicians and surgeons to identify frailty and promote multidisciplinary decision making will help to develop more individualized management strategies and optimize care for patients with cancer. CA Cancer J Clin 2017;67:362-377. © 2017 American Cancer Society.

Breast cancer in elderly women and altered clinico-pathological characteristics: a systematic review

PURPOSE

Breast cancer is the most common malignancy in women in terms of incidence and mortality. Age is undoubtedly the biggest breast cancer risk factor. In this study we examined clinical, histological, and biological characteristics and mortality of breast cancer in elderly women along with their changes with advancing age.

METHODS

We reviewed 63 original articles published between 2006 and 2016 concerning women over 70 years with breast cancer.

RESULTS

Compared to patients 70-79 years, patients aged 80 and over had larger tumor size with fewer T1 (42.9% vs 57.7%, p < 0.01) and more T2 lesions (43.5% vs 33.0%, p < 0.01). Lymph nodes and distant metastases were more frequent, with more N + (49.5% vs 44.0%, p < 0.01) and more M1 (8.0% vs 5.9%, p < 0.01). Infiltrating mucinous carcinomas were more frequent (4.3% vs 3.7%, p < 0.01). Tumors had lower grades, with more grade 1 (23.2% vs 19.8%, p = 0.01) and fewer grade 3 (21.5% vs 25.5%, p < 0.01), and were more hormone-sensitive: PR was more often expressed (72.6% vs 67.3%, p < 0.01). Lympho-vascular invasion was less frequent in the 80 years and over (22.9% vs 29.7%, p = 0.01). Breast cancer-specific mortality was higher both at 5 years (25.8% vs 17.2%, p < 0.01) and 10 years (32.7% vs 26.6%, p < 0.01).

CONCLUSION

Clinico-pathological characteristics, increased incidence, and mortality associated with aging can be explained on one hand by biological changes of the breast such as increased estrogen sensitivity, epithelial cell alterations, immune senescence, and tumor microenvironment modifications. However, sociologic factors such as increased life expectancy, under-treatment, late diagnosis, and insufficient individual screening, are also involved.

Comprehensive geriatric assessment in 326 older women with early breast cancer

Background:

One-third of new early breast cancer diagnoses occur in women over 70 years old. However, older women are less likely to receive radical curative treatments. This study prospectively evaluated a cohort of older women using a Comprehensive Geriatric Assessment (CGA) to determine whether fitness explained the apparent under-treatment in this patient group.

Methods:

In this multi-centre prospective study, patients aged ⩾70 years with Stages I–III breast cancer underwent a pretreatment baseline CGA consisting of eight assessment tools. Patients were defined as ‘fit’ if they had normal score in seven out of eight of the assessment tools. ‘High risk’ patients were defined as those with grade 3, ER negative, HER2 positive, or node positive breast cancer.

Results:

Data on 326 patients were available for full analysis. The median age was 77 years. In all, 182 (56%) of the total population were defined as high risk, with 49%, 61% and 53% of those in the 70–74, 75–84 and ⩾85 years age groups respectively having high risk tumours. A total of 301 patients had sufficient CGA records of whom 131 (44%) were reported as fit, with 34%, 54% and 12% of them in the 70–74, 75–84 and ⩾85 years age groups respectively. More fit than unfit patients underwent primary breast surgery (100% vs 91%, P=0.0002), axillary surgery (92% vs 84%, P=0.0340), and adjuvant chemotherapy for high-risk disease (51% vs 20%, P=0.0001). Rates of adjuvant radiotherapy after wide local excision were not significantly different (88% vs 90% respectively, P=0.8195).

Conclusions:

In this study, all women ⩾70 years deemed fit by CGA underwent primary surgery. Nearly 50% of fit women with high-risk disease did not receive adjuvant chemotherapy suggesting under treatment in this group.

Controversial issues in the management of older adults with early breast cancer

It is well recognized that the incidence of breast cancer increases significantly with age. Despite this, older people remain under-represented in many clinical trials and their management relies on extrapolation of data from younger patients. Providing an aggressive intervention can be challenging, particularly in less fit older patients where a conservative approach is commonly perceived to be more appropriate. The optimal management of this population is unknown and treatment decision should be personalized. This review article will discuss several controversial issues in managing older adults with early breast cancer in a multidisciplinary setting, including the role of surgical treatment of the axilla in clinically node negative disease, radiotherapy after breast conservation surgery in low-risk tumours, personalizing adjuvant systemic therapy, and geriatric assessments in breast cancer treatment decisions.

Motivation and mortality in older women with early stage breast cancer: A longitudinal study with ten years of follow-up

OBJECTIVES

The Getting Out of Bed Scale (GOB) was validated as a health-related quality of life (HRQoL) variable in older women with early stage breast cancer, suggesting its potential as a concise yet powerful measure of motivation. The aim of our project was to assess the association between GOB and mortality over 10years of follow-up.

MATERIALS AND METHODS

We studied 660 women ≥65-years old diagnosed with stage I-IIIA primary breast cancer. Data were collected over 10years of follow-up from interviews, medical records, and death indexes.

RESULTS

Compared to women with lower GOB scores, women with higher GOB had an unadjusted hazard ratio (HR) of all-cause mortality of 0.78 at 5years, 95% confidence interval (CI) (0.52, 1.19) and 0.77 at 10years, 95%CI (0.59, 1.00). These associations diminished after adjusting for age and stage of breast cancer, and further after adjusting for other HRQoL variables including physical function, mental health, emotional health, psychosocial function, and social support. Unadjusted HRs of breast cancer-specific mortality were 0.92, 95%CI (0.49, 1.74), at 5years, and 0.82, 95%CI (0.52, 1.32), at 10years. These associations also decreased in adjusted models.

CONCLUSION

Women with higher GOB scores had a lower hazard of all-cause mortality in unadjusted analysis. This effect diminished after adjusting for confounding clinical and HRQoL variables. GOB is a measure of motivation that may not be independently associated with cancer mortality, but reflects other HRQoL variables making it a potential outcome to monitor in older patients with cancer.

Delivering tailored surgery to older cancer patients: Preoperative geriatric assessment domains and screening tools - A systematic review of systematic reviews

The onco-geriatric population is increasing and thus more and more elderly will require surgery; an important treatment modality for many cancer types. This population's heterogeneity demands preoperative risk stratification, which has led to the introduction of Geriatric Assessment (GA) and associated screening tools in surgical oncology. Many reviews have investigated the use of GA in onco-geriatric patients. Discrepancies in outcomes between studies currently hamper the implementation of a preoperative GA in clinical practice. A systematic review of systematic reviews was performed in order to investigate assessment tools of the most commonly included GA domains and their predictive ability regarding the adverse postoperative outcomes. All domains - except polypharmacy - were, to a varying degree, associated with different adverse postoperative outcomes. Functional status, comorbidity and frailty were assessed most frequently and were most often significant. The association between domain impairments and adverse postoperative outcomes appeared to be greatly influenced by the study population characteristics and selection bias, as well as the type of assessment tool used due to possible ceiling effects and its sensitivity to detect domain impairments. Frailty seems to be the most important predictor, which underpins the importance of an integrated approach. As it is unlikely that one universal GA will fit all, feasibility, based on the time, expertise, and resources available in daily clinical practice as well as the patient population to hand, should be taken into consideration, when tailoring the 'optimal GA'.

[Comprehensive geriatric assessment (CGA) in elderly with cancer: For whom?]

Scientific societies recommend the implementation of a comprehensive geriatric assessment (CGA) in cancer patients aged 70 and older. The EGA is an interdisciplinary multidimensional diagnostic process seeking to assess the frail older person in order to develop a coordinated plan of treatment and long-term follow-up. Identification of comorbidities and age-induced physiological changes that may increase the risk of anticancer treatment toxicities is essential to better assess the risk-benefit ratio in elderly cancer patients. The systematic implementation of a CGA for each patient is difficult to perform in daily practice. Therefore, it is recommended to screen vulnerable patients who will benefit from a complete CGA. Our work presents the vulnerability screening tools validated by at least two independent studies in a cancer elderly population setting. Among seven screening tools, the G8 and the VES13 are the most effective, and have been validated specifically in older population with cancer. The G8 is recommended by scientific societies and the French National Cancer Institute (INCa) because of its easy implementation in daily clinical practice, its high sensitivity and fair specificity. Although studies are underway to improve its performance, the G8 is currently the simplest tool to routinely identify older cancer patients who should have a complete assessment in geriatric oncology.