Next Article in Journal
The Emerging Roles of ATP-Dependent Chromatin Remodeling Complexes in Pancreatic Cancer
Next Article in Special Issue
IL-8 Released from Human Pancreatic Cancer and Tumor-Associated Stromal Cells Signals through a CXCR2-ERK1/2 Axis to Induce Muscle Atrophy
Previous Article in Journal
Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment
Previous Article in Special Issue
Blocking Activin Receptor Ligands Is Not Sufficient to Rescue Cancer-Associated Gut Microbiota—A Role for Gut Microbial Flagellin in Colorectal Cancer and Cachexia?
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

Cachexia and Sarcopenia in Older Adults with Cancer: A Comprehensive Review

Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY 14642, USA
University of Rochester NCI Community Oncology Research Program (UR NCORP), Rochester, NY 14642, USA
Division of Hematology/Oncology, University of Alabama at Birmingham School of Medicine, Birmingham, AL 35233, USA
Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
Author to whom correspondence should be addressed.
Cancers 2019, 11(12), 1861;
Received: 23 October 2019 / Revised: 15 November 2019 / Accepted: 18 November 2019 / Published: 25 November 2019
(This article belongs to the Special Issue Cancer Cachexia)


Cancer cachexia is a syndrome characterized by weight loss with accompanying loss of muscle and/or fat mass and leads to impaired patient function and physical performance and is associated with a poor prognosis. It is prevalent in older adults with cancer; age-associated physiologic muscle wasting and weakness, also known as sarcopenia, can compound deficits associated with cancer cachexia in older adults and makes studying this condition more complex in this population. Multiple measurement options are available to assess the older patient with cancer and cachexia and/or sarcopenia including anthropometric measures, imaging modalities such as Dual X-ray absorptiometry (DEXA) and Computed Tomography (CT), muscular strength and physical performance testing, and patient-reported outcomes (PROs). A geriatric assessment (GA) is a useful tool when studying the older patient with cachexia given its comprehensive ability to capture aging-sensitive PROs. Interventions focused on nutrition and increasing physical activity may improve outcomes in older adults with cachexia. Efforts to develop targeted pharmacologic therapies with cachexia have not been successful thus far. Formal treatment guidelines, an updated consensus definition for cancer cachexia and the development of a widely adapted assessment tool, much like the GA utilized in geriatric oncology, could help advance the field of cancer cachexia over the next decade.

1. Introduction

Cancer cachexia is a prevalent and debilitating syndrome characterized by weight loss with concomitant loss of muscle and/or fat mass [1]. Cancer cachexia leads to functional impairment, reduced physical performance and poorer survival [1]. Cachexia is driven by a negative energy balance that can result from anorexia, which is influenced hormonally through a network of neuropeptides and mechanically by tumor, as well as by a pro-inflammatory environment that generates hypermetabolism [2,3]. Cachexia can develop in the setting of a wide range of tumor types, but it is most common in cancers of the upper gastrointestinal tract (GI) and lung, occurring in upwards of 83% of patients with pancreatic and gastric cancers and 60% of those with lung cancer [4]. Despite decades of research, no United States Food and Drug Administration (FDA) approved standard treatment exists; therapeutic development in the field of cancer cachexia remains a critical unmet need.
Unfortunately, the incidence of cancer cachexia is likely to grow in years to come. The United States population is aging, and the incidence of cancer diagnoses in adults over the age of 65 is expected to increase by 67% by 2030 when compared to 2010 [5]. Furthermore, cancers with the highest rates of associated cachexia occur predominantly in older adults. Compounding the problem is that physiologic age-related loss of muscle mass and muscle function could occur as well, a process historically referred to as sarcopenia [6]. These factors create a significant challenge for healthcare providers caring for older adults with cancer over the years to come.
The term cachexia is commonly interchanged with sarcopenia, though these represent separate entities with significant overlap. We describe the prevalence of cachexia and sarcopenia in older adults with cancer here and provide an in-depth discussion of terminology and clinical definitions below. Cancer cachexia, diagnosed by an examination of weight loss, body mass index (BMI) and skeletal muscle, is very common in older adults with cancer. Among patients referred to a specialized geriatric oncology clinic to undergo a geriatric assessment, up to 65% were found to have cancer cachexia [7]. Sarcopenia, which is defined commonly as a combination of low muscle strength, reduced muscle mass, and/or reduced physical performance, can be found in anywhere from 12.5% to 57.7% of the geriatric cancer population [8,9,10,11].
The geriatric assessment (GA) evaluates physical, functional, social, and psychological well-being and includes an assessment of weight loss and nutrition [12]. The GA possesses great potential as a tool with which to study cachexia and wasting disorders in older adults [13]. Nevertheless, cachexia remains understudied in this population, and older adults continue to be poorly represented in randomized phase II and III cancer cachexia clinical trials [14,15,16,17,18]. Cachexia trials designed specifically for older adults with cancer or with broader inclusion criteria to allow inclusion of older adults are urgently needed. While awaiting future trial design, subgroup analyses of older adults in published cachexia trials or the collection of real-world retrospective data from the oncology clinic could enhance our understanding of cachexia in this population.
In this review, we will analyze commonly used definitions for cachexia and sarcopenia in the context of older adults with cancer, discuss how cachexia and muscle deficiencies are measured, describe outcomes associated with these disorders in older adults, and explore interventions for older adults with cachexia and sarcopenia.

2. Cachexia and Sarcopenia in Older Adults with Cancer: One and the Same?

The hallmarks of both cachexia and sarcopenia center around muscle loss, allowing for significant overlap between the two conditions. Clinical definitions of the two, however, have evolved in recent years to focus on separate relevant metrics. Discussed in depth below, cachexia is most commonly defined clinically by weight, muscle, and fat tissue loss [1], whereas the most recent consensus definition of sarcopenia relies primarily on muscle function (Table 1) [8].
Earlier definitions of cachexia focused on weight, physical performance, and patient function and have varied over time. The Cachexia Consensus Conference in 2006 published diagnostic criteria that defined cachexia as 5% weight loss in the previous 6 months along with three of the following: reduced muscle strength, fatigue, anorexia, reduced fat-free mass, or systemic signs of inflammation [19]. In 2009, the Screening the Nutritional Status in Oncology (SCRINO) working group defined cachexia as greater than 10% weight loss and established classes of cachexia based on anorexia, early satiety, and fatigue [20]. In 2011, an international consensus definition and classification of cancer cachexia was published, defining cancer cachexia as greater than 5% weight loss in the previous 6 months or 2%–5% weight loss with either a BMI of <20 kg/m2 or reduced muscle mass [1]. This definition is considered by many as the gold standard of cancer cachexia and has been validated in a follow-up study of 861 subjects (mean age: 62 years) with and without cachexia [21]. Relying solely on weight and quantitative muscle mass to clinically characterize older adults, however, could be problematic. In this population, muscle mass and muscle function may not change in conjunction with one another nor will deficits in mass and function necessarily occur in a linear fashion [22,23,24]. This was illustrated in a study of 734 patients with lung cancer where patient function and quality of life did not significantly change until muscle mass dropped below a certain threshold value [25]. Therefore, the use of quantitative muscle mass alone may over- or under-estimate the prevalence of wasting disorders and may make patient selection for therapies more challenging. A more comprehensive evaluation that incorporates performance and physical function may be more useful in the geriatric oncology population.
In recent body composition-related oncology research, many studies use the term “sarcopenia” to refer to a quantitative reduction in muscle mass without qualifiers. However, this may not be an appropriate use of this term [24]. Sarcopenia was originally described as a physiologic age-related loss of muscle [26], and has most recently been defined by experts to indicate both a loss of muscle and muscle function. In 2010, the European Working Group on Sarcopenia in Older People (EWGSOP) developed a consensus definition of sarcopenia that required low muscle mass with one of the following: low muscle strength or reduced physical performance [27]. In 2019, EWGSOP published a revised consensus definition of sarcopenia based on updated research. Sarcopenia is now described as “a progressive and generalized skeletal muscle disorder that is associated with increased likelihood of adverse outcomes including falls, fractures, physical disability and mortality” [8]. EWGSOP notes in its updated report that diminished muscle strength is more closely tied to poor outcomes than reduced muscle mass. This finding is reflected in new diagnostic criteria for sarcopenia, which have now shifted to an emphasis on muscle strength rather than mass. The updated criteria specify three important points: (1) Low muscle strength indicates the diagnosis of sarcopenia is probable, (2) the diagnosis of sarcopenia is confirmed in the presence of low muscle strength and low muscle quantity or quality and (3) sarcopenia is considered severe if reduced physical performance is demonstrated along with reduced muscle strength and mass [8]. Although many patients with sarcopenia also have weight loss, change in weight is not integrated into the definition of sarcopenia.
In summary, the terms cachexia and sarcopenia describe debilitating disorders of muscle deficiency that reduce patient function and physical performance. Despite their overlap, they describe two distinct entities and the terms are not interchangeable. Sarcopenia is a muscle disorder best characterized by decreased strength and can be caused by a multitude of factors including normal aging and physical inactivity or can occur secondary to disease. Cachexia is a syndrome of muscle and/or fat wasting caused by disease (e.g., cancer, chronic obstructive pulmonary disease (COPD), HIV/AIDS) that is most widely characterized clinically by weight loss. In other words, many patients with cachexia have sarcopenia, meaning they manifest loss of muscle and muscle strength as part of their condition. Patients with sarcopenia, though, may not fit the criteria for cachexia because they lack associated weight loss or because changes in their muscle are not due to disease, but are physiologic.
Older patients with cancer characterized as suffering from cachexia or sarcopenia phenotypically resemble one another and each condition can result in similar complications. It remains unclear at this time which term is most useful in describing wasting disorders in this population. With this in mind, we investigate tools, research studies, and treatment strategies applicable to both conditions.

3. Measurement of Cachexia and Sarcopenia in Older Adults

Various instruments are used to assess cachexia and sarcopenia, and they can be broadly divided into objective and patient-reported measures (PROs). Table 2 provides a summary of objective tools to measure muscle mass directly or indirectly, muscle strength and muscle performance. Two of the most common yet simplest measures used in cachexia are weight loss and BMI [19]. These measures may be integrated into more comprehensive nutritional assessments such as the Mini-Nutritional Assessment (MNA) [28,29] and the Malnutrition Universal Screening Tool [30]. Beyond weight and body mass index, the MNA also assesses diet via questionnaire, includes a subjective assessment of patient health and nutrition, and globally assesses lifestyle, mobility, and medications. MNA has been validated in the geriatric population and is commonly used in studies of older adults with cancer [31].
For objective body composition (muscle, fat, lean mass) assessment, anthropometric measurement (e.g., BMI, calf circumference, and skinfold thickness) is the least expensive method, but there is a loss of accuracy with advancing age [38,39]. Several modalities with higher validity have recently been adapted to measure skeletal muscle mass, such as dual energy X-ray absorptiometry (DEXA), bioelectrical impedance analysis (BIA), computed tomography (CT) scan, and magnetic resonance imaging (MRI) [40]. Cross-sectional imaging (CT and MRI) can accurately assess total skeletal muscle mass by measuring muscle area on a single image slice, most commonly at the L3 vertebra, and, after accounting for stature, is reported as the skeletal muscle index. Assessment of body composition by cross-sectional imaging is the preferred muscle mass measurement in cancer cachexia over DEXA according to the international consensus panel on cachexia [1,41]. CT and MRI scans also have the advantage of measuring both muscle cross-sectional area and muscle quality by assessing muscle radiodensity. Muscle density, as measured by Hounsfield units on CT, is inversely related to muscle lipid content and is a surrogate for muscle quality [42].
Despite multiple benefits, however, none of these imaging modalities measure muscle strength and/or physical performance, which are important components of sarcopenia. To that end, several objective instruments have been developed. These measures are commonly incorporated as part of the GA described earlier. Some examples include handgrip strength, which was endorsed by the EWGSOP and the international consensus panel on cancer cachexia and has been validated in older adults [1,27], 6-minute walk test, gait speed test, and Short Physical Performance Battery (SPPB) [43]. A limitation is that definitions for impaired physical performance and functional status vary among and within these different measures.
Among patient-reported measures used to assess sarcopenia, a 14-item questionnaire for sarcopenia (SarcoPRO) is associated with limitations in instrumental activities of daily living (IADLS) in older adults with cancer [36]. This tool was developed by conducting open-ended interviews to understand the effects of reduced muscle strength on function in older adults with known sarcopenia [44]. SarcoPRO also correlated moderately with the short physical performance battery, a validated measure associated with morbidity and mortality in older adults [36,45,46]. SarcoPRO is useful in settings where imaging is not routinely or easily obtained. SARC-F is another 5-item patient-reported instrument [47]. While its sensitivity is low in older adults, its high specificity may be utilized to select patients for further assessment of sarcopenia.
Though an array of assessment instruments is available to clinicians, formal cachexia and sarcopenia measurements, except for weight and/or BMI, are not commonly integrated into clinical practice. Vulnerabilities associated with muscle loss such as functional impairment or reduced physical performance are often not captured in routine oncology visits; current guidelines seek to improve this. One fundamental strategy is the use of a GA in the oncology clinic, which is recommended for all older adults with cancer by the American Society of Clinical Oncology (ASCO), the National Comprehensive Cancer Network, and the International Society of Geriatric Oncology [43,48,49,50]. Despite these recommendations, the implementation of the GA in daily oncology practice has been slow; this is, in part, due to the perception that it is time consuming [51]. However, the ASCO guideline notes that the GA is feasible to complete in both clinical trials and in the oncology clinic, takes about 20–30 minutes to complete, and can be obtained via a paper or electronic record [43].
We argue that the GA is crucial in the evaluation of the older patient with cancer cachexia. The assessment of the patient with cachexia recommended by the international consensus panel on cancer cachexia strongly resembles the geriatric assessment (Table 3 and Table 4). This recommendation includes evaluation of anorexia, hypermetabolism/inflammation, muscle mass and strength, physical performance, and psychosocial impairment (Table 3). For comparison, the ASCO Geriatric Oncology Guidelines recommend that the following data be captured by the GA: chemotherapy toxicity risk assessment, life expectancy estimate, functional assessment (i.e., IADLs), comorbidity evaluation, screening for falls, screening for depression, assessment of cognition, and screening for malnutrition (e.g., weight loss, MNA) [48]. The majority of the assessment is patient-reported and can be completed by patient/caregiver with minimal assistance in the waiting or exam room [43]. The guidelines also recommend, if possible, completing objective measures of physical performance like the SPPB, Timed Up and Go (TUG), and gait speed (Table 4). These performance tests do not require special equipment and can be carried out by a nurse, research assistant or medical technician. The creation of formal guidelines and increasing utilization of the GA creates an opportunity to screen and diagnose cachexia and sarcopenia in older adults with cancer and can bring further awareness to these conditions.

4. Outcomes in Older Adults with Cancer and Wasting Disorders

The association of cancer cachexia with adverse outcomes and poor prognosis is well-documented [1,21,52]. Data are limited, however, regarding cachexia specifically in older adults with cancer. A systematic review published in 2017 sought studies evaluating how nutritional deficiencies and/or cachexia affects chemotherapy administration and outcomes in the geriatric oncology population. Multiple studies were identified examining malnutrition in this population, principally using the MNA tool, but no studies examining cachexia specifically in older adults were found [53]. The systematic review found lower MNA scores at diagnosis (score 0–14, 0–7 malnourished, 8–11 at risk for malnutrition) to be associated with increased toxicity from chemotherapy and a worse prognosis [53].
More recently, a single-center retrospective analysis examined cachexia and its association with the GA and survival in 100 older adults with solid tumors [7]. All patients underwent a GA; the mean age was 80 years. Using the international consensus definition, cachexia was defined in this study as 5% weight loss or 2–5% weight loss with accompanying muscle depletion as measured by CT scan. Cachexia was found to be associated with functional impairment (p = 0.017) and worse survival (1 year in patients with cachexia vs. 2.1 years in patients without cachexia; p = 0.011). In the same study, neither weight loss nor muscle loss individually was associated with survival or functional impairment [7].
Underlying the paucity of cachexia research in older adults and in general is the difficulty of obtaining accurate data on weight loss and nutrition retrospectively. There is an abundance of data, however, on archived CT scans readily available in oncology clinics globally, which allow retrospective evaluation of quantitative muscle mass, muscle quality, and fat mass. This tactic has spawned a host of studies in all age groups that have demonstrated correlations between skeletal muscle depletion and various outcomes, including increased complications from surgery [54,55], toxicity from chemotherapy [56,57], and, most notably, poorer overall survival [58,59,60]. In older adults with cancer, however, correlations between skeletal muscle depletion alone and adverse outcomes are less clear.
A report of 341 patients undergoing esophagectomy for esophageal cancer, stratified by age (≥ or <65 years), investigated associations between skeletal muscle quantity as measured by CT skeletal muscle index and surgical outcomes and survival. In the older cohort (166 patients), compared to patients with adequate muscle mass, skeletal muscle depletion was associated with worse in-hospital mortality (6.8% vs. 0.0%, p = 0.037), higher rates of anastomotic leaks (31.5% vs. 15.2%, p = 0.015), and poorer 5-year overall survival rates (26.5% vs. 56%, p < 0.0001) [61]. Additionally, in a study of 70 older patients (median age: 71 years) who received neoadjuvant or adjuvant chemoradiation for rectal cancer, low skeletal muscle index (muscle depletion) was associated with a higher hazard ratio (HR) for death (6.01; p = 0.001). This HR was higher than that for age, sex, cancer stage and carcinoembryonic antigen (CEA) level [62].
Several studies, however, have found that alternative measures used to characterize muscle were more informative than quantitative muscle mass indices in older adults with cancer. Examining muscle quality in addition to muscle quantity has garnered increasing interest of late. Muscle quality is particularly relevant in the geriatric oncology population. In a study of 734 patients with lung cancer of all ages (mean age: 65 years) referenced earlier, men and women aged greater than 75 years of age had significantly reduced muscle quality compared to those less than 75 years old [25]. In a report of 162 older adults with cancer from the Carolina Senior Registry (median age: 71 years), muscle quantity assessed via CT scan was not associated with a standard frailty index [63]. On the other hand, muscle density (quality) was more closely associated with frailty in this population. A separate published report examining 185 older adults with cancer from the same Carolina Senior Registry (mean age: 73 years) also demonstrated that muscle density, and not muscle mass, was associated with functional impairment as measured by IADLs, walking, stair-climbing, and the Timed Up and Go test [24]. A separate study also demonstrated lower muscle quality was associated with major post-operative complications including anastomotic leaks, intensive care unit admissions, longer hospital stays, and higher readmission rates in 373 older adults (median age: 78 years) undergoing surgery for colorectal cancer [64].
Reduced muscle strength and physical performance are important factors in identifying sarcopenia and also have been tied to adverse outcomes in the geriatric oncology population. In a study of 103 older adults with advanced cancer (mean age: 70 years), muscle strength, and not muscle mass or muscle density, was significantly associated with overall survival [65]. A separate study of 197 older adults (mean age: 76 years) undergoing abdominal cancer surgery had similar findings. Improved physical performance as measured by 6-minute walking test distance, gait speed, handgrip strength, and self-reported physical activity was predictive of the likelihood of patients being discharged to home rather than to a nursing facility [66].
Though adipose tissue wasting is not incorporated into standard diagnostic criteria of cachexia or sarcopenia, it remains an important characteristic in patients suffering from cancer-associated cachexia. In animal studies, adipose tissue breakdown has been described as an essential component in the pathophysiology of cancer cachexia and that blocking lipolysis may be an important treatment strategy [67]. In humans, fat mass can also be accurately ascertained through cross-sectional imaging [68] and has been associated with worse survival in patients with advanced cancer [69]. This has been corroborated in older adults with cancer as well. In a study of 80 adults older than 70 years of age with Diffuse Large B-Cell Lymphoma, fat wasting was associated with reduced progression free survival and overall survival (p = 0.0042 and 0.0342, respectively) [70].
In summary, it is evident that predicting adverse outcomes in older adults with cancer using measures of body composition can be quite complex. Sarcopenia can be a normal physiologic process of aging that can be further compounded by additional weight and muscle loss resulting from metabolic and inflammatory changes induced by cancer. A single measure such as weight, muscle index (muscle mass) or muscle density (muscle quality) is likely insufficient to fully characterize or predict outcomes in older adults with wasting disorders and cancer. Prospective studies that can comprehensively capture serial measures of physical performance, patient function, and patient-reported outcomes (including weight loss) and utilize objective, accurate and practical measures of muscle mass are sorely needed.

5. Interventions for Cachexia and Sarcopenia in Older Adults

Strategies to efficaciously treat both cachexia and sarcopenia have similar intentions: (1) improve muscle mass, (2) improve muscle function and overall patient function, (3) and improve physical performance. As such, many of the interventions that we explore can likely apply to both conditions; clinical investigation of these strategies, however, usually focuses on populations with either cachexia, sarcopenia, or surrogate conditions like muscle wasting or weight loss. Optimal therapeutic advances will ultimately hinge on precisely targeting the underlying mechanisms of these conditions and could potentially lead to a divergence of strategies for treating cachexia and sarcopenia in the future.
While there is no FDA approved treatment for cancer cachexia, several interventions tailored to the individual are available to combat cachexia and sarcopenia. Given the multidimensional nature of these conditions, multimodal interventions are often associated with the best outcomes [71]. Adequate nutrition and resistance exercise are cornerstones of the management of sarcopenia [72] and are instrumental components of treatment approaches recommended by cachexia experts [71]. Although the evidence is not conclusive and no universal guidelines exist, the maintenance or generation of muscle mass requires adequate caloric and protein intake [73,74]. In addition to ensuring adequate caloric intake, protein supplementation and optimization of vitamin D levels are the most promising dietary strategies for age-related sarcopenia in non-oncologic studies [73]. For a nutritional intervention to be effective, it should provide sufficient calories, contain appropriate nutrients, and be of sufficient duration to affect muscle health [74]. Treating cachexia and sarcopenia effectively, however, entails a more sophisticated approach then merely eating more. Adequate caloric intake and nutritional supplementation alone are frequently unsuccessful in reversing or restoring muscle mass in patients suffering from cachexia [75]. Appetite stimulants (e.g., megestrol, steroids, and cannabinoids), which have been studied in patients with cachexia for decades, have aided in weight gain but have failed to improve other salient outcomes like physical performance and survival [76,77,78]. Furthermore, older adults with cancer may be at higher risk from toxicities associated with agents like corticosteroids and megestrol. Close examination of the risks and benefits of appetite stimulants is warranted in this population.
Resistance training and aerobic training have been shown to increase muscle strength and function and represent an attractive treatment strategy for cachexia and sarcopenia [79]. No pharmacologic or nutritional intervention in the field to date has shown results superior to exercise [73]. Exercise and physical activity can reduce inflammation [80], induce molecular signaling pathways that support building muscle mass, and stimulate beneficial metabolic adaptations [81]. Two separate randomized studies in men with prostate cancer receiving androgen deprivation therapy (ADT), a population in which muscle loss is common, demonstrated that exercise may help those with cachexia and/or sarcopenia. In a study of 121 men with prostate cancer on ADT, the cohort of men older than 65 years randomized to resistance exercise demonstrated preserved lean mass, whereas those who were randomized to aerobic exercise or usual care demonstrated loss of lean mass [82]. In a study of a similar population, a combined resistance and aerobic exercise program helped reverse muscle loss [83]. Recently, researchers evaluated the effects of exercise on muscle mass in patients with early stage breast cancer receiving adjuvant chemotherapy. They randomized patients to resistance exercise training (n = 64), aerobic exercise training (n = 66), or usual care (n = 70) and demonstrated that resistance exercise can reverse sarcopenia and improve quality of life [84]. Multiple other studies in older adults with cancer at risk for cachexia and/or sarcopenia have also demonstrated that exercise can improve muscular strength and physical performance [85,86,87]. Based on the results of these studies and many others that examined the benefits of exercise on physical functioning and quality of life, the American College of Sports Medicine (ACSM) has developed exercise guidelines for adults with cancer [88]. Nonetheless, major barriers exist to implementing this simple intervention, as many community-dwelling adults lack access or motivation to partake in a rigorous exercise program [89] and little data or guidance is available specific to older adults with cancer.
Clinical trials investigating multimodal interventions including exercise and nutrition targeting cachexia in older adults with cancer are needed. Evaluation of an early multimodal intervention consisting of both an exercise intervention and nutrition sessions in older adults with advanced pancreatic cancer and non-small cell lung cancer has demonstrated feasibility and is currently accruing as a randomized phase II study [90]. Also, a recently completed randomized controlled trial of a cancer rehabilitation program in older adults with cancer showed promise for increasing activity expectations and self-efficacy, although it did not improve functional status [91].
In addition to physical activity and nutrition, ideal multimodal treatment approaches include targeting mechanisms of cachexia. Inflammation, which can also be targeted by exercise and nutritional supplements, is a key underlying pathophysiologic mechanism of cachexia. Pharmacologic agents targeting inflammatory cytokines have been explored, though results are mixed [73]. Studies have previously investigated non-steroidal anti-inflammatory (NSAID) agents, anti-tumor necrosis factor (TNF) agents, thalidomide, and omega fatty acids with variable results [92]. Although several studies suggested a potential benefit of NSAID treatments in improving muscle mass and body weight in cancer cachexia, most studies have been small, methodologically flawed, and lacking a comparator [93]. Currently in progress is the promising MENAC trial, which is investigating a multimodal intervention that includes exercise, nutrition and ibuprofen in adults with cancer cachexia [NCT 02330926, EudraCT 2013-002282-19]. This study could have broad implications for the treatment of cancer cachexia and the design of future intervention trials.
Targeting hormonal pathways that exert influence on human metabolism and muscle have shown promise in early phase cachexia studies but we have yet to see positive phase III results. For example, selective androgen receptor modulators (SARMs) selectively bind to the androgen receptor and have been developed and tested in Phase I, II, and III trials as treatments for muscle wasting. Studies of enobosarm have shown increases in muscle mass and physical function [94]. Unfortunately, two Phase III studies investigating enobosarm, POWER I and POWER II, were negative, and this agent is no longer being investigated for the treatment of cachexia. An alternative endocrine pathway, activation of the ghrelin receptor with ghrelin agonists, has garnered significant interest for the treatment of cachexia over the past decade. Ghrelin is considered a “meal-initiating” hormone that is released by the stomach in response to prolonged fasting. Ghrelin agonists have demonstrated significant increases in food intake, body weight, and lean mass [73,95,96]. In a recent report of two large phase III trials (ROMANA I and ROMANA II) investigating the oral ghrelin receptor agonist anamorelin, significant increases in lean body mass and anorexia and cachexia symptoms over a 12-week period were demonstrated. These gains, unfortunately, were not accompanied by increases in handgrip strength, the co-primary endpoint, and, ultimately, did not result in FDA approval [14,97]. Although these agents improved lean mass, neither improved the physical performance or functional benchmarks set to ultimately measure efficacy [98]. Despite “negative” findings of the ROMANA trials, anamorelin remains in development for the treatment of cancer cachexia. There are currently two ongoing clinical trials [NCT 03743064 and 03743051] investigating the use of anamorelin to treat cancer-associated weight loss in patients with non-small cell lung cancer. The primary outcome of these studies is a “Composite Clinical Response,” which includes changes in weight and a patient-reported anorexia scale.
Treatment strategies for both cachexia and sarcopenia in the older adult should include recommendations for physical activity and guidance on adequate caloric and protein intake and dietary supplementation that may help achieve these goals. Appetite stimulants have had limited efficacy in cachexia clinical trials and can be associated with adverse effects, especially in older adults; short courses could be helpful in select patients. How best to utilize combinations of these interventions to improve outcomes in older adults with cancer is unclear at this time. More rigorously designed studies investigating multimodal treatment strategies of diet, physical activity, and pharmacologic agents targeting cachexia are needed. In addition to well-designed interventions, more focus and agreement on the proper endpoints for these intervention studies are necessary in order to move the field forward [99].

6. Future Directions

The development of a consensus definition of cancer cachexia [1] in 2011 and its validation [21] represent significant advances in this field. Standard diagnostic criteria allow researchers to identify subjects with cancer cachexia to study and provide more guidance for inclusion criteria in both prospective observation and clinical intervention trials. Nevertheless, wide recognition and implementation of the international consensus definition are lagging behind. The cause is currently unclear, but it may be related to overlapping definitions and confusing terminology that were discussed earlier. Furthermore, the lack of consensus guidelines for the treatment of cancer cachexia and the absence of a unified direction of research priorities in this field may also contribute. ASCO is currently developing guidelines for cachexia, a task that will hopefully enhance our integration and implementation of cancer cachexia care in clinical trials and daily oncology practice. In addition to formal guidelines, an updated consensus definition of cancer cachexia would likely help solidify terminology, awareness, diagnostic criteria and research priorities moving forward.
The identification and care of the older patient with cancer cachexia are challenging. ASCO Geriatric Oncology Guidelines recommend that a GA be performed in patients older than 65 receiving chemotherapy “to identify vulnerabilities that are not routinely captured in oncology assessments [43].” By performing a GA, impairments in weight, nutrition, patient function, physical performance, and psychosocial domains are readily identified, all of which are crucial to the evaluation of cancer cachexia.
In addition to providing a consensus definition and classification of cancer cachexia, the cachexia research community must implement a standardized assessment, much like the geriatric oncology community has implemented the GA. Undoubtedly, a large effort is required; however, a “comprehensive cachexia assessment” could take the field to new heights. Assessment tools for cachexia have been developed previously such as the CASCO score, which utilizes measurement of medical history, physical performance, blood biomarkers and PROs [100], and the Functional Assessment of Anorexia and Cachexia Therapy (FAACT) scale [101], a validated PRO. These measurements, unfortunately, have not been widely adapted and typically have been used only for research purposes. A universal assessment that could be employed both in oncology clinics and clinical trials would launch new opportunities to study the syndrome of cachexia and, ultimately, help tailor multi-modal interventions to treat this complex problem.

7. Conclusions

Normal aging can result in sarcopenia, a condition defined by reduced muscular strength, depletion of muscle mass and/or reduced physical performance. As such, older patients with cancer are at significant risk for cancer cachexia, a syndrome defined by loss of weight and muscle mass and/or low BMI that is associated with increased toxicity from chemotherapy and a poor prognosis. The interplay between physiologic sarcopenia and cancer cachexia is, in part, responsible for the complexity that exists in studying wasting disorders in the geriatric oncology population. Comprehensive assessment with both patient-reported and objective measures of weight, nutrition, muscle mass, muscle quality, physical function, and physical performance is crucial in the evaluation of the older patient with cancer cachexia. Interventions for older adults with cancer cachexia should focus on improving nutrition and increasing physical activity, while pharmacologic treatments remain in development. Utilization of the GA in this population could be adapted to better study cachexia in older adults and may help improve the treatment of individuals with cachexia in daily oncology practice.


The project described in this publication was supported by the University of Rochester CTSA award number KL2TR001999 from the National Center for Advancing Translational Sciences of the National Institutes of Health (RFD). The work was also funded through UG1 CA189961 from the National Cancer Institute (KMM), and K24AG056589 (SGM) from the National Institute on Aging. All statements in this report, including its findings and conclusions, are solely those of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflicts of Interest

The authors declare no conflicts of interest. The following disclosures are reported: RFD has received honoraria for Advisory Board/Consulting for Exelixis Inc. KPL is consultant for Pfizer and Seattle Genetics. GRW is consultant for Carevive. SGM receives research funding from Carevive. Authors declare that these disclosures do not represent any conflicts of interest for this work.


  1. Fearon, K.; Strasser, F.; Anker, S.D.; Bosaeus, I.; Bruera, E.; Fainsinger, R.L.; Jatoi, A.; Loprinzi, C.; MacDonald, N.; Mantovani, G.; et al. Definition and classification of cancer cachexia: An international consensus. Lancet Oncol. 2011, 12, 489–495. [Google Scholar] [CrossRef]
  2. Felix, K.; Fakelman, F.; Hartmann, D.; Giese, N.A.; Gaida, M.M.; Schnolzer, M.; Flad, T.; Buchler, M.W.; Werner, J. Identification of serum proteins involved in pancreatic cancer cachexia. Life Sci. 2011, 88, 218–225. [Google Scholar] [CrossRef] [PubMed]
  3. Martignoni, M.E.; Kunze, P.; Hildebrandt, W.; Kunzli, B.; Berberat, P.; Giese, T.; Kloters, O.; Hammer, J.; Buchler, M.W.; Giese, N.A.; et al. Role of mononuclear cells and inflammatory cytokines in pancreatic cancer-related cachexia. Clin. Cancer Res. 2005, 11, 5802–5808. [Google Scholar] [CrossRef] [PubMed]
  4. Stewart, G.D.; Skipworth, R.J.; Fearon, K.C. Cancer cachexia and fatigue. Clin. Med. (Lond.) 2006, 6, 140–143. [Google Scholar] [CrossRef] [PubMed]
  5. Smith, B.D.; Smith, G.L.; Hurria, A.; Hortobagyi, G.N.; Buchholz, T.A. Future of cancer incidence in the United States: Burdens upon an aging, changing nation. J. Clin. Oncol. 2009, 27, 2758–2765. [Google Scholar] [CrossRef] [PubMed]
  6. Williams, G.R.; Rier, H.N.; McDonald, A.; Shachar, S.S. Sarcopenia & aging in cancer. J. Geriatr. Oncol. 2019, 10, 374–377. [Google Scholar] [CrossRef] [PubMed]
  7. Dunne, R.F.; Roussel, B.; Culakova, E.; Pandya, C.; Fleming, F.J.; Hensley, B.; Magnuson, A.M.; Loh, K.P.; Gilles, M.; Ramsdale, E.; et al. Characterizing cancer cachexia in the geriatric oncology population. J. Geriatr. Oncol. 2019, 10, 415–419. [Google Scholar] [CrossRef] [PubMed]
  8. Cruz-Jentoft, A.J.; Bahat, G.; Bauer, J.; Boirie, Y.; Bruyere, O.; Cederholm, T.; Cooper, C.; Landi, F.; Rolland, Y.; Sayer, A.A.; et al. Sarcopenia: Revised European consensus on definition and diagnosis. Age Ageing 2019, 48, 16–31. [Google Scholar] [CrossRef] [PubMed]
  9. Fukuda, Y.; Yamamoto, K.; Hirao, M.; Nishikawa, K.; Nagatsuma, Y.; Nakayama, T.; Tanikawa, S.; Maeda, S.; Uemura, M.; Miyake, M.; et al. Sarcopenia is associated with severe postoperative complications in elderly gastric cancer patients undergoing gastrectomy. Gastric Cancer 2016, 19, 986–993. [Google Scholar] [CrossRef]
  10. Wang, S.L.; Zhuang, C.L.; Huang, D.D.; Pang, W.Y.; Lou, N.; Chen, F.F.; Zhou, C.J.; Shen, X.; Yu, Z. Sarcopenia Adversely Impacts Postoperative Clinical Outcomes Following Gastrectomy in Patients with Gastric Cancer: A Prospective Study. Ann. Surg. Oncol. 2016, 23, 556–564. [Google Scholar] [CrossRef]
  11. Tegels, J.J.; van Vugt, J.L.; Reisinger, K.W.; Hulsewe, K.W.; Hoofwijk, A.G.; Derikx, J.P.; Stoot, J.H. Sarcopenia is highly prevalent in patients undergoing surgery for gastric cancer but not associated with worse outcomes. J. Surg. Oncol. 2015, 112, 403–407. [Google Scholar] [CrossRef] [PubMed]
  12. Mohile, S.G.; Velarde, C.; Hurria, A.; Magnuson, A.; Lowenstein, L.; Pandya, C.; O’Donovan, A.; Gorawara-Bhat, R.; Dale, W. Geriatric Assessment-Guided Care Processes for Older Adults: A Delphi Consensus of Geriatric Oncology Experts. J. Natl. Compr. Canc. Netw. 2015, 13, 1120–1130. [Google Scholar] [CrossRef] [PubMed]
  13. Loh, K.P.; Dunne, R.F.; Friedberg, J.W.; Mohile, S.G. Integrating Assessment of Sarcopenia into Decision-making for Allogeneic Hematopoietic Cell Transplantation: Ready for Prime Time? J. Natl. Cancer Inst. 2019. [Google Scholar] [CrossRef] [PubMed]
  14. Temel, J.S.; Abernethy, A.P.; Currow, D.C.; Friend, J.; Duus, E.M.; Yan, Y.; Fearon, K.C. Anamorelin in patients with non-small-cell lung cancer and cachexia (ROMANA 1 and ROMANA 2): Results from two randomised, double-blind, phase 3 trials. Lancet Oncol. 2016, 17, 519–531. [Google Scholar] [CrossRef]
  15. Solheim, T.S.; Laird, B.J.A.; Balstad, T.R.; Stene, G.B.; Bye, A.; Johns, N.; Pettersen, C.H.; Fallon, M.; Fayers, P.; Fearon, K.; et al. A randomized phase II feasibility trial of a multimodal intervention for the management of cachexia in lung and pancreatic cancer. J. Cachexia Sarcopenia Muscle 2017, 8, 778–788. [Google Scholar] [CrossRef]
  16. Maccio, A.; Madeddu, C.; Gramignano, G.; Mulas, C.; Floris, C.; Sanna, E.; Cau, M.C.; Panzone, F.; Mantovani, G. A randomized phase III clinical trial of a combined treatment for cachexia in patients with gynecological cancers: Evaluating the impact on metabolic and inflammatory profiles and quality of life. Gynecol. Oncol. 2012, 124, 417–425. [Google Scholar] [CrossRef]
  17. Mantovani, G.; Maccio, A.; Madeddu, C.; Serpe, R.; Massa, E.; Dessi, M.; Panzone, F.; Contu, P. Randomized phase III clinical trial of five different arms of treatment in 332 patients with cancer cachexia. Oncologist 2010, 15, 200–211. [Google Scholar] [CrossRef]
  18. Cannabis In Cachexia Study, G.; Strasser, F.; Luftner, D.; Possinger, K.; Ernst, G.; Ruhstaller, T.; Meissner, W.; Ko, Y.D.; Schnelle, M.; Reif, M.; et al. Comparison of orally administered cannabis extract and delta-9-tetrahydrocannabinol in treating patients with cancer-related anorexia-cachexia syndrome: A multicenter, phase III, randomized, double-blind, placebo-controlled clinical trial from the Cannabis-In-Cachexia-Study-Group. J. Clin. Oncol. 2006, 24, 3394–3400. [Google Scholar] [CrossRef]
  19. Evans, W.J.; Morley, J.E.; Argiles, J.; Bales, C.; Baracos, V.; Guttridge, D.; Jatoi, A.; Kalantar-Zadeh, K.; Lochs, H.; Mantovani, G.; et al. Cachexia: A new definition. Clin. Nutr. 2008, 27, 793–799. [Google Scholar] [CrossRef]
  20. Bozzetti, F.; Mariani, L. Defining and classifying cancer cachexia: A proposal by the SCRINIO Working Group. JPEN J. Parenter Enteral Nutr. 2009, 33, 361–367. [Google Scholar] [CrossRef]
  21. Blum, D.; Stene, G.B.; Solheim, T.S.; Fayers, P.; Hjermstad, M.J.; Baracos, V.E.; Fearon, K.; Strasser, F.; Kaasa, S.; Euro, I. Validation of the Consensus-Definition for Cancer Cachexia and evaluation of a classification model—A study based on data from an international multicentre project (EPCRC-CSA). Ann. Oncol. 2014, 25, 1635–1642. [Google Scholar] [CrossRef] [PubMed]
  22. Goodpaster, B.H.; Park, S.W.; Harris, T.B.; Kritchevsky, S.B.; Nevitt, M.; Schwartz, A.V.; Simonsick, E.M.; Tylavsky, F.A.; Visser, M.; Newman, A.B. The loss of skeletal muscle strength, mass, and quality in older adults: The health, aging and body composition study. J. Gerontol. A Biol. Sci. Med. Sci. 2006, 61, 1059–1064. [Google Scholar] [CrossRef] [PubMed]
  23. Janssen, I.; Baumgartner, R.N.; Ross, R.; Rosenberg, I.H.; Roubenoff, R. Skeletal muscle cutpoints associated with elevated physical disability risk in older men and women. Am. J. Epidemiol. 2004, 159, 413–421. [Google Scholar] [CrossRef] [PubMed]
  24. Williams, G.R.; Deal, A.M.; Muss, H.B.; Weinberg, M.S.; Sanoff, H.K.; Nyrop, K.A.; Pergolotti, M.; Shachar, S.S. Skeletal muscle measures and physical function in older adults with cancer: Sarcopenia or myopenia? Oncotarget 2017, 8, 33658–33665. [Google Scholar] [CrossRef]
  25. Bye, A.; Sjoblom, B.; Wentzel-Larsen, T.; Gronberg, B.H.; Baracos, V.E.; Hjermstad, M.J.; Aass, N.; Bremnes, R.M.; Flotten, O.; Jordhoy, M. Muscle mass and association to quality of life in non-small cell lung cancer patients. J. Cachexia Sarcopenia Muscle 2017, 8, 759–767. [Google Scholar] [CrossRef]
  26. Rosenberg, I.H. Sarcopenia: Origins and clinical relevance. J. Nutr. 1997, 127, 990S–991S. [Google Scholar] [CrossRef]
  27. Cruz-Jentoft, A.J.; Baeyens, J.P.; Bauer, J.M.; Boirie, Y.; Cederholm, T.; Landi, F.; Martin, F.C.; Michel, J.P.; Rolland, Y.; Schneider, S.M.; et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010, 39, 412–423. [Google Scholar] [CrossRef]
  28. Vellas, B.; Guigoz, Y.; Garry, P.J.; Nourhashemi, F.; Bennahum, D.; Lauque, S.; Albarede, J.L. The Mini Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition 1999, 15, 116–122. [Google Scholar] [CrossRef]
  29. Kaiser, M.J.; Bauer, J.M.; Ramsch, C.; Uter, W.; Guigoz, Y.; Cederholm, T.; Thomas, D.R.; Anthony, P.; Charlton, K.E.; Maggio, M.; et al. Validation of the Mini Nutritional Assessment short-form (MNA-SF): A practical tool for identification of nutritional status. J. Nutr. Health Aging 2009, 13, 782–788. [Google Scholar] [CrossRef]
  30. Sharma, Y.; Thompson, C.; Kaambwa, B.; Shahi, R.; Miller, M. Validity of the Malnutrition Universal Screening Tool (MUST) in Australian hospitalized acutely unwell elderly patients. Asia Pac. J. Clin. Nutr. 2017, 26, 994–1000. [Google Scholar] [CrossRef]
  31. Mislang, A.R.; Di Donato, S.; Hubbard, J.; Krishna, L.; Mottino, G.; Bozzetti, F.; Biganzoli, L. Nutritional management of older adults with gastrointestinal cancers: An International Society of Geriatric Oncology (SIOG) review paper. J. Geriatr. Oncol. 2018, 9, 382–392. [Google Scholar] [CrossRef] [PubMed][Green Version]
  32. Mourtzakis, M.; Prado, C.M.; Lieffers, J.R.; Reiman, T.; McCargar, L.J.; Baracos, V.E. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl. Physiol. Nutr. Metab. 2008, 33, 997–1006. [Google Scholar] [CrossRef] [PubMed]
  33. Goodpaster, B.H.; Kelley, D.E.; Thaete, F.L.; He, J.; Ross, R. Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content. J. Appl. Physiol. (1985) 2000, 89, 104–110. [Google Scholar] [CrossRef][Green Version]
  34. Mijnarends, D.M.; Meijers, J.M.; Halfens, R.J.; ter Borg, S.; Luiking, Y.C.; Verlaan, S.; Schoberer, D.; Cruz Jentoft, A.J.; van Loon, L.J.; Schols, J.M. Validity and reliability of tools to measure muscle mass, strength, and physical performance in community-dwelling older people: A systematic review. J. Am. Med. Dir. Assoc. 2013, 14, 170–178. [Google Scholar] [CrossRef] [PubMed]
  35. Stark, T.; Walker, B.; Phillips, J.K.; Fejer, R.; Beck, R. Hand-held dynamometry correlation with the gold standard isokinetic dynamometry: A systematic review. Pm. R. 2011, 3, 472–479. [Google Scholar] [CrossRef]
  36. Gewandter, J.S.; Dale, W.; Magnuson, A.; Pandya, C.; Heckler, C.E.; Lemelman, T.; Roussel, B.; Ifthikhar, R.; Dolan, J.; Noyes, K.; et al. Associations between a patient-reported outcome (PRO) measure of sarcopenia and falls, functional status, and physical performance in older patients with cancer. J. Geriatr. Oncol. 2015, 6, 433–441. [Google Scholar] [CrossRef][Green Version]
  37. Schmidt, K.; Vogt, L.; Thiel, C.; Jager, E.; Banzer, W. Validity of the six-minute walk test in cancer patients. Int. J. Sports Med. 2013, 34, 631–636. [Google Scholar] [CrossRef]
  38. Heymsfield, S.B.; McManus, C.; Smith, J.; Stevens, V.; Nixon, D.W. Anthropometric measurement of muscle mass: Revised equations for calculating bone-free arm muscle area. Am. J. Clin. Nutr. 1982, 36, 680–690. [Google Scholar] [CrossRef]
  39. Rolland, Y.; Lauwers-Cances, V.; Cournot, M.; Nourhashemi, F.; Reynish, W.; Riviere, D.; Vellas, B.; Grandjean, H. Sarcopenia, calf circumference, and physical function of elderly women: A cross-sectional study. J. Am. Geriatr. Soc. 2003, 51, 1120–1124. [Google Scholar] [CrossRef]
  40. Beaudart, C.; McCloskey, E.; Bruyere, O.; Cesari, M.; Rolland, Y.; Rizzoli, R.; Araujo de Carvalho, I.; Amuthavalli Thiyagarajan, J.; Bautmans, I.; Bertiere, M.C.; et al. Sarcopenia in daily practice: Assessment and management. BMC Geriatr. 2016, 16, 170. [Google Scholar] [CrossRef]
  41. Shen, W.; Punyanitya, M.; Wang, Z.; Gallagher, D.; St-Onge, M.P.; Albu, J.; Heymsfield, S.B.; Heshka, S. Total body skeletal muscle and adipose tissue volumes: Estimation from a single abdominal cross-sectional image. J. Appl. Physiol. (1985) 2004, 97, 2333–2338. [Google Scholar] [CrossRef] [PubMed][Green Version]
  42. Aubrey, J.; Esfandiari, N.; Baracos, V.E.; Buteau, F.A.; Frenette, J.; Putman, C.T.; Mazurak, V.C. Measurement of skeletal muscle radiation attenuation and basis of its biological variation. Acta Physiol. (Oxf.) 2014, 210, 489–497. [Google Scholar] [CrossRef] [PubMed][Green Version]
  43. Mohile, S.G.; Dale, W.; Somerfield, M.R.; Schonberg, M.A.; Boyd, C.M.; Burhenn, P.S.; Canin, B.; Cohen, H.J.; Holmes, H.M.; Hopkins, J.O.; et al. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology. J. Clin. Oncol. 2018, 36, 2326–2347. [Google Scholar] [CrossRef] [PubMed]
  44. Evans, C.J.; Chiou, C.F.; Fitzgerald, K.A.; Evans, W.J.; Ferrell, B.R.; Dale, W.; Fried, L.P.; Gandra, S.R.; Dennee-Sommers, B.; Patrick, D.L. Development of a new patient-reported outcome measure in sarcopenia. J. Am. Med. Dir. Assoc. 2011, 12, 226–233. [Google Scholar] [CrossRef] [PubMed]
  45. Volpato, S.; Cavalieri, M.; Sioulis, F.; Guerra, G.; Maraldi, C.; Zuliani, G.; Fellin, R.; Guralnik, J.M. Predictive value of the Short Physical Performance Battery following hospitalization in older patients. J. Gerontol. A Biol. Sci. Med. Sci. 2011, 66, 89–96. [Google Scholar] [CrossRef] [PubMed][Green Version]
  46. Klepin, H.D.; Geiger, A.M.; Tooze, J.A.; Kritchevsky, S.B.; Williamson, J.D.; Pardee, T.S.; Ellis, L.R.; Powell, B.L. Geriatric assessment predicts survival for older adults receiving induction chemotherapy for acute myelogenous leukemia. Blood 2013, 121, 4287–4294. [Google Scholar] [CrossRef]
  47. Ida, S.; Kaneko, R.; Murata, K. SARC-F for Screening of Sarcopenia Among Older Adults: A Meta-analysis of Screening Test Accuracy. J. Am. Med. Dir. Assoc. 2018, 19, 685–689. [Google Scholar] [CrossRef]
  48. Mohile, S.G.; Dale, W.; Somerfield, M.R.; Hurria, A. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology Summary. J. Oncol. Pract. 2018, 14, 442–446. [Google Scholar] [CrossRef]
  49. Wildiers, H.; Heeren, P.; Puts, M.; Topinkova, E.; Janssen-Heijnen, M.L.; Extermann, M.; Falandry, C.; Artz, A.; Brain, E.; Colloca, G.; et al. International Society of Geriatric Oncology consensus on geriatric assessment in older patients with cancer. J. Clin. Oncol. 2014, 32, 2595–2603. [Google Scholar] [CrossRef][Green Version]
  50. VanderWalde, N.; Jagsi, R.; Dotan, E.; Baumgartner, J.; Browner, I.S.; Burhenn, P.; Cohen, H.J.; Edil, B.H.; Edwards, B.; Extermann, M.; et al. NCCN Guidelines Insights: Older Adult Oncology, Version 2.2016. J. Natl. Compr. Canc. Netw. 2016, 14, 1357–1370. [Google Scholar] [CrossRef]
  51. Mohile, S.G.; Magnuson, A.; Pandya, C.; Velarde, C.; Duberstein, P.; Hurria, A.; Loh, K.P.; Wells, M.; Plumb, S.; Gilmore, N.; et al. Community Oncologists’ Decision-Making for Treatment of Older Patients With Cancer. J. Natl. Compr. Canc. Netw. 2018, 16, 301–309. [Google Scholar] [CrossRef] [PubMed]
  52. Martin, L.; Birdsell, L.; Macdonald, N.; Reiman, T.; Clandinin, M.T.; McCargar, L.J.; Murphy, R.; Ghosh, S.; Sawyer, M.B.; Baracos, V.E. Cancer cachexia in the age of obesity: Skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J. Clin. Oncol. 2013, 31, 1539–1547. [Google Scholar] [CrossRef] [PubMed]
  53. Caillet, P.; Liuu, E.; Raynaud Simon, A.; Bonnefoy, M.; Guerin, O.; Berrut, G.; Lesourd, B.; Jeandel, C.; Ferry, M.; Rolland, Y.; et al. Association between cachexia, chemotherapy and outcomes in older cancer patients: A systematic review. Clin. Nutr. 2017, 36, 1473–1482. [Google Scholar] [CrossRef] [PubMed]
  54. Elliott, J.A.; Doyle, S.L.; Murphy, C.F.; King, S.; Guinan, E.M.; Beddy, P.; Ravi, N.; Reynolds, J.V. Sarcopenia: Prevalence, and Impact on Operative and Oncologic Outcomes in the Multimodal Management of Locally Advanced Esophageal Cancer. Ann. Surg. 2017, 266, 822–830. [Google Scholar] [CrossRef] [PubMed]
  55. Simonsen, C.; de Heer, P.; Bjerre, E.D.; Suetta, C.; Hojman, P.; Pedersen, B.K.; Svendsen, L.B.; Christensen, J.F. Sarcopenia and Postoperative Complication Risk in Gastrointestinal Surgical Oncology: A Meta-analysis. Ann. Surg. 2018, 268, 58–69. [Google Scholar] [CrossRef] [PubMed]
  56. Cespedes Feliciano, E.M.; Lee, V.S.; Prado, C.M.; Meyerhardt, J.A.; Alexeeff, S.; Kroenke, C.H.; Xiao, J.; Castillo, A.L.; Caan, B.J. Muscle mass at the time of diagnosis of nonmetastatic colon cancer and early discontinuation of chemotherapy, delays, and dose reductions on adjuvant FOLFOX: The C-SCANS study. Cancer 2017, 123, 4868–4877. [Google Scholar] [CrossRef]
  57. Prado, C.M.; Baracos, V.E.; McCargar, L.J.; Reiman, T.; Mourtzakis, M.; Tonkin, K.; Mackey, J.R.; Koski, S.; Pituskin, E.; Sawyer, M.B. Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin. Cancer Res. 2009, 15, 2920–2926. [Google Scholar] [CrossRef][Green Version]
  58. Brown, J.C.; Caan, B.J.; Meyerhardt, J.A.; Weltzien, E.; Xiao, J.; Cespedes Feliciano, E.M.; Kroenke, C.H.; Castillo, A.; Kwan, M.L.; Prado, C.M. The deterioration of muscle mass and radiodensity is prognostic of poor survival in stage I–III colorectal cancer: A population-based cohort study (C-SCANS). J. Cachexia Sarcopenia Muscle 2018, 9, 664–672. [Google Scholar] [CrossRef]
  59. Caan, B.J.; Cespedes Feliciano, E.M.; Prado, C.M.; Alexeeff, S.; Kroenke, C.H.; Bradshaw, P.; Quesenberry, C.P.; Weltzien, E.K.; Castillo, A.L.; Olobatuyi, T.A.; et al. Association of Muscle and Adiposity Measured by Computed Tomography With Survival in Patients With Nonmetastatic Breast Cancer. JAMA Oncol. 2018, 4, 798–804. [Google Scholar] [CrossRef]
  60. Shachar, S.S.; Williams, G.R.; Muss, H.B.; Nishijima, T.F. Prognostic value of sarcopenia in adults with solid tumours: A meta-analysis and systematic review. Eur. J. Cancer 2016, 57, 58–67. [Google Scholar] [CrossRef]
  61. Nakashima, Y.; Saeki, H.; Nakanishi, R.; Sugiyama, M.; Kurashige, J.; Oki, E.; Maehara, Y. Assessment of Sarcopenia as a Predictor of Poor Outcomes After Esophagectomy in Elderly Patients With Esophageal Cancer. Ann. Surg. 2018, 267, 1100–1104. [Google Scholar] [CrossRef] [PubMed]
  62. Park, S.E.; Hwang, I.G.; Choi, C.H.; Kang, H.; Kim, B.G.; Park, B.K.; Cha, S.J.; Jang, J.S.; Choi, J.H. Sarcopenia is poor prognostic factor in older patients with locally advanced rectal cancer who received preoperative or postoperative chemoradiotherapy. Medicine 2018, 97, e13363. [Google Scholar] [CrossRef] [PubMed]
  63. Williams, G.R.; Deal, A.M.; Muss, H.B.; Weinberg, M.S.; Sanoff, H.K.; Guerard, E.J.; Nyrop, K.A.; Pergolotti, M.; Shachar, S.S. Frailty and skeletal muscle in older adults with cancer. J. Geriatr. Oncol. 2018, 9, 68–73. [Google Scholar] [CrossRef]
  64. Margadant, C.C.; Bruns, E.R.; Sloothaak, D.A.; van Duijvendijk, P.; van Raamt, A.F.; van der Zaag, H.J.; Buskens, C.J.; van Munster, B.C.; van der Zaag, E.S. Lower muscle density is associated with major postoperative complications in older patients after surgery for colorectal cancer. Eur. J. Surg. Oncol. 2016, 42, 1654–1659. [Google Scholar] [CrossRef]
  65. Versteeg, K.S.; Blauwhoff-Buskermolen, S.; Buffart, L.M.; de van der Schueren, M.A.E.; Langius, J.A.E.; Verheul, H.M.W.; Maier, A.B.; Konings, I.R. Higher Muscle Strength Is Associated with Prolonged Survival in Older Patients with Advanced Cancer. Oncologist 2018, 23, 580–585. [Google Scholar] [CrossRef] [PubMed][Green Version]
  66. Karlsson, E.; Egenvall, M.; Farahnak, P.; Bergenmar, M.; Nygren-Bonnier, M.; Franzen, E.; Rydwik, E. Better preoperative physical performance reduces the odds of complication severity and discharge to care facility after abdominal cancer resection in people over the age of 70—A prospective cohort study. Eur. J. Surg. Oncol. 2018, 44, 1760–1767. [Google Scholar] [CrossRef] [PubMed]
  67. Das, S.K.; Eder, S.; Schauer, S.; Diwoky, C.; Temmel, H.; Guertl, B.; Gorkiewicz, G.; Tamilarasan, K.P.; Kumari, P.; Trauner, M.; et al. Adipose triglyceride lipase contributes to cancer-associated cachexia. Science 2011, 333, 233–238. [Google Scholar] [CrossRef][Green Version]
  68. Yip, C.; Dinkel, C.; Mahajan, A.; Siddique, M.; Cook, G.J.; Goh, V. Imaging body composition in cancer patients: Visceral obesity, sarcopenia and sarcopenic obesity may impact on clinical outcome. Insights Imaging 2015, 6, 489–497. [Google Scholar] [CrossRef][Green Version]
  69. Murphy, R.A.; Wilke, M.S.; Perrine, M.; Pawlowicz, M.; Mourtzakis, M.; Lieffers, J.R.; Maneshgar, M.; Bruera, E.; Clandinin, M.T.; Baracos, V.E.; et al. Loss of adipose tissue and plasma phospholipids: relationship to survival in advanced cancer patients. Clin. Nutr. 2010, 29, 482–487. [Google Scholar] [CrossRef]
  70. Camus, V.; Lanic, H.; Kraut, J.; Modzelewski, R.; Clatot, F.; Picquenot, J.M.; Contentin, N.; Lenain, P.; Groza, L.; Lemasle, E.; et al. Prognostic impact of fat tissue loss and cachexia assessed by computed tomography scan in elderly patients with diffuse large B-cell lymphoma treated with immunochemotherapy. Eur. J. Haematol. 2014, 93, 9–18. [Google Scholar] [CrossRef]
  71. Fearon, K.C. Cancer cachexia: Developing multimodal therapy for a multidimensional problem. Eur. J. Cancer 2008, 44, 1124–1132. [Google Scholar] [CrossRef] [PubMed]
  72. Morley, J.E. Sarcopenia in the elderly. Fam. Pract. 2012, 29 (Suppl. 1), i44–i48. [Google Scholar] [CrossRef][Green Version]
  73. Ali, S.; Garcia, J.M. Sarcopenia, cachexia and aging: Diagnosis, mechanisms and therapeutic options - a mini-review. Gerontology 2014, 60, 294–305. [Google Scholar] [CrossRef] [PubMed][Green Version]
  74. Calvani, R.; Miccheli, A.; Landi, F.; Bossola, M.; Cesari, M.; Leeuwenburgh, C.; Sieber, C.C.; Bernabei, R.; Marzetti, E. Current nutritional recommendations and novel dietary strategies to manage sarcopenia. J. Frailty Aging 2013, 2, 38–53. [Google Scholar] [PubMed]
  75. Fearon, K.; Arends, J.; Baracos, V. Understanding the mechanisms and treatment options in cancer cachexia. Nat. Rev. Clin. Oncol. 2013, 10, 90–99. [Google Scholar] [CrossRef] [PubMed]
  76. Lesniak, W.; Bala, M.; Jaeschke, R.; Krzakowski, M. Effects of megestrol acetate in patients with cancer anorexia-cachexia syndrome—A systematic review and meta-analysis. Pol. Arch. Med. Wewn. 2008, 118, 636–644. [Google Scholar] [CrossRef]
  77. Jatoi, A.; Windschitl, H.E.; Loprinzi, C.L.; Sloan, J.A.; Dakhil, S.R.; Mailliard, J.A.; Pundaleeka, S.; Kardinal, C.G.; Fitch, T.R.; Krook, J.E.; et al. Dronabinol versus megestrol acetate versus combination therapy for cancer-associated anorexia: A North Central Cancer Treatment Group study. J. Clin. Oncol. 2002, 20, 567–573. [Google Scholar] [CrossRef]
  78. Loprinzi, C.L.; Kugler, J.W.; Sloan, J.A.; Mailliard, J.A.; Krook, J.E.; Wilwerding, M.B.; Rowland, K.M., Jr.; Camoriano, J.K.; Novotny, P.J.; Christensen, B.J. Randomized comparison of megestrol acetate versus dexamethasone versus fluoxymesterone for the treatment of cancer anorexia/cachexia. J. Clin. Oncol. 1999, 17, 3299–3306. [Google Scholar] [CrossRef]
  79. Dunne, R.F.; Mustian, K.M.; Garcia, J.M.; Dale, W.; Hayward, R.; Roussel, B.; Buschmann, M.M.; Caan, B.J.; Cole, C.L.; Fleming, F.J.; et al. Research priorities in cancer cachexia: The University of Rochester Cancer Center NCI Community Oncology Research Program Research Base Symposium on Cancer Cachexia and Sarcopenia. Curr. Opin. Support Palliat. Care 2017, 11, 278–286. [Google Scholar] [CrossRef]
  80. Cole, C.L.; Kleckner, I.R.; Jatoi, A.; Schwarz, E.M.; Dunne, R.F. The Role of Systemic Inflammation in Cancer-Associated Muscle Wasting and Rationale for Exercise as a Therapeutic Intervention. JCSM Clin. Rep. 2018, 3. [Google Scholar] [CrossRef][Green Version]
  81. Hardee, J.P.; Counts, B.R.; Carson, J.A. Understanding the Role of Exercise in Cancer Cachexia Therapy. Am. J. Lifestyle Med. 2019, 13, 46–60. [Google Scholar] [CrossRef] [PubMed]
  82. Alberga, A.S.; Segal, R.J.; Reid, R.D.; Scott, C.G.; Sigal, R.J.; Khandwala, F.; Jaffey, J.; Wells, G.A.; Kenny, G.P. Age and androgen-deprivation therapy on exercise outcomes in men with prostate cancer. Support Care Cancer 2012, 20, 971–981. [Google Scholar] [CrossRef] [PubMed]
  83. Galvao, D.A.; Taaffe, D.R.; Spry, N.; Joseph, D.; Newton, R.U. Combined resistance and aerobic exercise program reverses muscle loss in men undergoing androgen suppression therapy for prostate cancer without bone metastases: A randomized controlled trial. J. Clin. Oncol. 2010, 28, 340–347. [Google Scholar] [CrossRef] [PubMed][Green Version]
  84. Adams, S.C.; Segal, R.J.; McKenzie, D.C.; Vallerand, J.R.; Morielli, A.R.; Mackey, J.R.; Gelmon, K.; Friedenreich, C.M.; Reid, R.D.; Courneya, K.S. Impact of resistance and aerobic exercise on sarcopenia and dynapenia in breast cancer patients receiving adjuvant chemotherapy: A multicenter randomized controlled trial. Breast Cancer Res. Treat 2016, 158, 497–507. [Google Scholar] [CrossRef] [PubMed]
  85. Galvao, D.A.; Spry, N.; Denham, J.; Taaffe, D.R.; Cormie, P.; Joseph, D.; Lamb, D.S.; Chambers, S.K.; Newton, R.U. A multicentre year-long randomised controlled trial of exercise training targeting physical functioning in men with prostate cancer previously treated with androgen suppression and radiation from TROG 03.04 RADAR. Eur. Urol. 2014, 65, 856–864. [Google Scholar] [CrossRef]
  86. Winters-Stone, K.M.; Dobek, J.; Bennett, J.A.; Nail, L.M.; Leo, M.C.; Schwartz, A. The effect of resistance training on muscle strength and physical function in older, postmenopausal breast cancer survivors: A randomized controlled trial. J. Cancer Surviv. 2012, 6, 189–199. [Google Scholar] [CrossRef][Green Version]
  87. Segal, R.J.; Reid, R.D.; Courneya, K.S.; Sigal, R.J.; Kenny, G.P.; Prud’Homme, D.G.; Malone, S.C.; Wells, G.A.; Scott, C.G.; Slovinec D’Angelo, M.E. Randomized controlled trial of resistance or aerobic exercise in men receiving radiation therapy for prostate cancer. J. Clin. Oncol. 2009, 27, 344–351. [Google Scholar] [CrossRef][Green Version]
  88. Schmitz, K.H.; Courneya, K.S.; Matthews, C.; Demark-Wahnefried, W.; Galvao, D.A.; Pinto, B.M.; Irwin, M.L.; Wolin, K.Y.; Segal, R.J.; Lucia, A.; et al. American College of Sports Medicine roundtable on exercise guidelines for cancer survivors. Med. Sci. Sports Exerc. 2010, 42, 1409–1426. [Google Scholar] [CrossRef]
  89. Loh, K.P.; Lin, P.J.; Uth, J.; Quist, M.; Klepin, H.; Mustian, K. Exercise for managing cancer- and treatment-related side effects in older adults. J. Geriatr. Oncol. 2018, 9, 405–410. [Google Scholar] [CrossRef]
  90. Naito, T.; Mitsunaga, S.; Miura, S.; Tatematsu, N.; Inano, T.; Mouri, T.; Tsuji, T.; Higashiguchi, T.; Inui, A.; Okayama, T.; et al. Feasibility of early multimodal interventions for elderly patients with advanced pancreatic and non-small-cell lung cancer. J. Cachexia Sarcopenia Muscle 2019, 10, 73–83. [Google Scholar] [CrossRef][Green Version]
  91. Pergolotti, M.; Deal, A.M.; Williams, G.R.; Bryant, A.L.; McCarthy, L.; Nyrop, K.A.; Covington, K.R.; Reeve, B.B.; Basch, E.; Muss, H.B. Older Adults with Cancer: A Randomized Controlled Trial of Occupational and Physical Therapy. J. Am. Geriatr. Soc. 2019, 67, 953–960. [Google Scholar] [CrossRef] [PubMed]
  92. Rolland, Y.; Onder, G.; Morley, J.E.; Gillette-Guyonet, S.; Abellan van Kan, G.; Vellas, B. Current and future pharmacologic treatment of sarcopenia. Clin. Geriatr. Med. 2011, 27, 423–447. [Google Scholar] [CrossRef] [PubMed]
  93. Solheim, T.S.; Fearon, K.C.; Blum, D.; Kaasa, S. Non-steroidal anti-inflammatory treatment in cancer cachexia: A systematic literature review. Acta Oncol. 2013, 52, 6–17. [Google Scholar] [CrossRef] [PubMed][Green Version]
  94. Srinath, R.; Dobs, A. Enobosarm (GTx-024, S-22): A potential treatment for cachexia. Future Oncol. 2014, 10, 187–194. [Google Scholar] [CrossRef]
  95. Garcia, J.M.; Boccia, R.V.; Graham, C.D.; Yan, Y.; Duus, E.M.; Allen, S.; Friend, J. Anamorelin for patients with cancer cachexia: An integrated analysis of two phase 2, randomised, placebo-controlled, double-blind trials. Lancet Oncol. 2015, 16, 108–116. [Google Scholar] [CrossRef]
  96. Akamizu, T.; Takaya, K.; Irako, T.; Hosoda, H.; Teramukai, S.; Matsuyama, A.; Tada, H.; Miura, K.; Shimizu, A.; Fukushima, M.; et al. Pharmacokinetics, safety, and endocrine and appetite effects of ghrelin administration in young healthy subjects. Eur. J. Endocrinol. 2004, 150, 447–455. [Google Scholar] [CrossRef] [PubMed][Green Version]
  97. Williams, G.R.; Muss, H.B.; Shachar, S.S. Cachexia in patients with cancer. Lancet Oncol. 2016, 17, e220. [Google Scholar] [CrossRef][Green Version]
  98. Advani, S.M.; Advani, P.G.; VonVille, H.M.; Jafri, S.H. Pharmacological management of cachexia in adult cancer patients: A systematic review of clinical trials. BMC Cancer 2018, 18, 1174. [Google Scholar] [CrossRef][Green Version]
  99. Crawford, J. What are the criteria for response to cachexia treatment? Ann. Palliat. Med. 2019, 8, 43–49. [Google Scholar] [CrossRef]
  100. Argiles, J.M.; Lopez-Soriano, F.J.; Toledo, M.; Betancourt, A.; Serpe, R.; Busquets, S. The cachexia score (CASCO): A new tool for staging cachectic cancer patients. J. Cachexia Sarcopenia Muscle 2011, 2, 87–93. [Google Scholar] [CrossRef]
  101. LeBlanc, T.W.; Samsa, G.P.; Wolf, S.P.; Locke, S.C.; Cella, D.F.; Abernethy, A.P. Validation and real-world assessment of the Functional Assessment of Anorexia-Cachexia Therapy (FAACT) scale in patients with advanced non-small cell lung cancer and the cancer anorexia-cachexia syndrome (CACS). Support Care Cancer 2015, 23, 2341–2347. [Google Scholar] [CrossRef] [PubMed]
Table 1. The diagnostic criteria of cancer cachexia based on an international consensus definition and classification [1] as compared to European Working Group on Sarcopenia in Older People definition of sarcopenia [9].
Table 1. The diagnostic criteria of cancer cachexia based on an international consensus definition and classification [1] as compared to European Working Group on Sarcopenia in Older People definition of sarcopenia [9].
Cancer CachexiaSarcopenia
>5% weight loss in the previous 6 months
>2% weight loss and one of the following:
(1) Body mass index < 20 kg/m2
(2) Evidence of muscle depletion. Example provided-appendicular skeletal muscle index consistent with sarcopenia (<7.26 kg/m2 in males and <5.45 kg/m2 in females)
(1) Diagnosis of Sarcopenia is probable with low muscle strength
(2) Diagnosis is confirmed with low muscle quantity or quality.
(3) Reduced physical performance along with reduced muscle strength and muscle quality/quantity represents severe sarcopenia.
Table 2. Tools to objectively measure impairments in muscle [32,33,34,35,36,37].
Table 2. Tools to objectively measure impairments in muscle [32,33,34,35,36,37].
Weight Practical, cheap, completed at each oncology visit Prone to inaccuracies as does not take into account changes in fat mass and non-skeletal muscle
Muscle Mass
CT or MRI [32] Gold standard, can accurately assess muscle and fat mass, can detail individual muscle/muscle groups, are obtained as SOC in oncology patients and can be performed serially Data collection and interpretation requires software and expertise and can be time consuming. Automated systems in development.
DEXA [32]Cheap, minor radiation exposure, accurate measure of muscle mass Not used in routine oncology practice, does not provide information on specific muscle/muscle groups
BIA [32]Portable, uses electric current, no radiation exposure Not used in routine oncology practice, less accurate, skewed by edema or use of diuretics
Muscle Quality (Muscle Density) [33]CT can measure muscle density accurately by Hounsfield units, low variance, reliable Indirect data of fat content within muscle, which is used to determine muscle quality
Muscle Strength
Isokenetic muscle strength testing [34] Gold standard for muscle strength testing, can provide force, endurance, torque, power Requires expensive equipment that is not portable, nor widely available
Handgrip Dynamometry [35]Cheaper than isokinetic testing and is portable, valid and reliable Multiple protocols used, cross-study comparison difficult, may not be most representative of patient function
Physical Performance
SPPB [36]Composite score of tandem walk (balance), chair stands (functional testing) and gait speed), validated in older adults Requires trained staff to conduct
6-minute walk test (measures speed or VO2 max) [37] Excellent measure of functional capacity as measures submaximal cardiorespiratory fitness, cheap, easy to conduct May be difficult for older patients with cachexia, healthcare provider supervision may be needed
Abbreviations. CT: computed tomography, MRI: magnetic resonance imaging, DEXA: dual energy X-ray absorpimetry, BIA: bioelectrical impedance, SPPB: Short Physical Performance Battery, VO2 max: maximal aerobic capacity.
Table 3. Recommended assessment of the cachectic patient as stated in the international consensus definition of cancer cachexia [1].
Table 3. Recommended assessment of the cachectic patient as stated in the international consensus definition of cancer cachexia [1].
Characterization of the Cachectic PatientTools/Measures
Anorexia/Food IntakePatient-reported protein/calorie intake, assessment of appetite
Hypermetabolism/InflammationNo clear consensus but CRP noted as most widely used.
Muscle Mass and StrengthNo clear consensus, panel preferred in order: cross-sectional imaging (CT or MRI), DEXA, anthropometry, and BIA. Hand-grip preferred over lower-limb extension for strength.
FunctionPatient-reported function as per EORTC QLQ-C30 or physician-reported Karnofsky Score
PsychosocialAssessment of distress about eating and weight
Abbreviations. CRP: C-reactive protein, CT: computed tomography, MRI: magnetic resonance imaging, DEXA: dual energy X-ray absorptiometry, BIA: bioelectrical impedance, EORTC QLQ-C30: European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-C30.
Table 4. Recommended Geriatric Assessment as stated in the ASCO Guideline for Geriatric Oncology [43].
Table 4. Recommended Geriatric Assessment as stated in the ASCO Guideline for Geriatric Oncology [43].
Geriatric Assessment (GA) DomainsTools/Measures
FunctionPatient-reported IADL independence
FallsPatient-reported falls
ComorbidityReview medical history and medications
CognitionAdministered cognition tests: Mini-cog, BOMS, MMSE
DepressionGDS (questionnaire)
NutritionPatient-reported weight loss, MNA (administered)
If possible/applicable:
Estimate Risk of Chemotherapy ToxicityCARG or CRASH toxicity tool
Physical PerformanceSPPB, TUG, gait speed (objective)
Abbreviations. IADL: instrumental activities of daily living, BOMC: Blessed Orientation-Memory-Concentration, MMSE: Mini-Mental State Examination, GDS: Geriatric Depression Scale, MNA: Mini Nutritional Assessment, CARG: Cancer and Aging Research Group, CRASH: Chemotherapy Risk Assessment Scale for High-Age Patients, SPPB: Short Physical Performance Battery, TUG: Timed Up and Go.

Share and Cite

MDPI and ACS Style

Dunne, R.F.; Loh, K.P.; Williams, G.R.; Jatoi, A.; Mustian, K.M.; Mohile, S.G. Cachexia and Sarcopenia in Older Adults with Cancer: A Comprehensive Review. Cancers 2019, 11, 1861.

AMA Style

Dunne RF, Loh KP, Williams GR, Jatoi A, Mustian KM, Mohile SG. Cachexia and Sarcopenia in Older Adults with Cancer: A Comprehensive Review. Cancers. 2019; 11(12):1861.

Chicago/Turabian Style

Dunne, Richard F., Kah Poh Loh, Grant R. Williams, Aminah Jatoi, Karen M. Mustian, and Supriya G. Mohile. 2019. "Cachexia and Sarcopenia in Older Adults with Cancer: A Comprehensive Review" Cancers 11, no. 12: 1861.

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop