Aquina, C.T. et al. (2017) British Journal of Cancer. 116, pp. 389-397
Image shows cultured colon cancer cells showing the nuclei stained with DAPI in blue, the actin cytoskeleton in red and plectin (isoform 1k) in green.
Background: Given scarce data regarding the relationship among age, complications, and survival beyond the 30-day postoperative period for oncology patients in the United States, this study identified age-related differences in complications and the rate and cause of 1-year mortality following colon cancer surgery.
Conclusions: Older age and sepsis are associated with higher 1-year overall, cancer-specific, and cardiovascular-specific mortality, highlighting the importance of geriatric assessment, multidisciplinary care, and cardiovascular optimisation for older patients and those with infectious complications.
Yomo, S & Hayashi, M. BMC Cancer. Published online: 15 December 2016
Image shows false-coloured scanning electron micrograph of human cancer stem cells isolated from patients with brain cancer
Background: Advanced age has been shown to be a factor predicting poor survival in patients with brain metastases (BM). There have been only a few studies focusing on stereotactic radiosurgery (SRS) for elderly BM patients. The present study aimed to investigate the efficacy and limitations of SRS for very elderly BM patients.
Conclusions: The present study suggested an upfront SRS strategy to offer a feasible and effective treatment option for very elderly patients with limited BM. In the majority of patients, neurological death could be delayed or even prevented.
Hurria, A. et al. Journal of Clinical Oncology. July 10, 2016 vol. 34 no. 20 2366-2371
Purpose Older adults are at increased risk for chemotherapy toxicity, and standard oncology assessment measures cannot identify those at risk. A predictive model for chemotherapy toxicity was developed (N = 500) that consisted of geriatric assessment questions and other clinical variables. This study aims to externally validate this model in an independent cohort (N = 250).
Patients and Methods Patients age ≥ 65 years with a solid tumor, fluent in English, and who were scheduled to receive a new chemotherapy regimen were recruited from eight institutions. Risk of chemotherapy toxicity was calculated (low, medium, or high risk) on the basis of the prediction model before the start of chemotherapy. Chemotherapy-related toxicity was captured (grade 3 [hospitalization indicated], grade 4 [life threatening], and grade 5 [treatment-related death]). Validation of the prediction model was performed by calculating the area under the receiver-operating characteristic curve.
Results The study sample (N = 250) had a mean age of 73 years (range, 65 to 94 [standard deviation, 5.8]). More than one half of patients (58%) experienced grade ≥ 3 toxicity. Risk of toxicity increased with increasing risk score (36.7% low, 62.4% medium, 70.2% high risk; P < .001). The area under the curve of the receiver-operating characteristic curve was 0.65 (95% CI, 0.58 to 0.71), which was not statistically different from the development cohort (0.72; 95% CI, 0.68 to 0.77; P = .09). There was no association between Karnofsky Performance Status and chemotherapy toxicity (P = .25).
Conclusion This study externally validated a chemotherapy toxicity predictive model for older adults with cancer. This predictive model should be considered when discussing the risks and benefits of chemotherapy with older adults.
Ovarian cancer is the fourth most common cancer among women in France, and mainly affects the elderly. The primary objective of this study was to compare treatment of ovarian cancer according to age.
All patients with invasive cancer (n = 1151) diagnosed between 1997 and 2011 in the Herault Department of southern France were included. Demographic data (age, area of residence), cancer characteristics (stage, histology, grade) and treatment modality (type, period and location of treatment) were analysed. Univariate and multivariate logistic regression was used to compare treatment by age.
Ovarian cancer was less treated in elderly compared to younger patients, regardless of the type of treatment. This difference was more pronounced for chemotherapy, and was maximal for surgery followed by chemotherapy (odds ratio (OR) for surgery for patients aged >70 vs those aged <70 years = 0.47 [0.24–0.91], OR for chemotherapy, age >70 vs <70 = 0.30 [0.16–0.55] and OR for surgery plus chemotherapy, age >70 vs <70 = 0.14 [0.08–0.28]). This effect of age was independent of other variables, including stage and grade. The probability of receiving standard treatment, in accordance with recommendations, was reduced by 50 % in elderly patients compared to their younger counterparts. Overall and net survival of elderly patients with standard treatment was similar to those of younger patients treated outside standard treatment.
Elderly women with ovarian cancer were therapeutically disadvantaged compared to younger women. Further studies including co morbidities are necessary to refine these results and to improve therapeutic management of elderly patients with ovarian cancer.
The American Society of Clinical Oncology (ASCO) convened a subcommittee to develop recommendations on improving the evidence base for treating older adults with cancer in response to a critical need identified by the Institute of Medicine. Older adults experience the majority of cancer diagnoses and deaths and make up the majority of cancer survivors. Older adults are also the fastest growing segment of the US population. However, the evidence base for treating this population is sparse, because older adults are underrepresented in clinical trials, and trials designed specifically for older adults are rare. The result is that clinicians have less evidence on how to treat older adults, who represent the majority of patients with cancer. Clinicians and patients are forced to extrapolate from trials conducted in younger, healthier populations when developing treatment plans. This has created a dearth of knowledge regarding the risk of toxicity in the average older patient and about key end points of importance to older adults. ASCO makes five recommendations to improve evidence generation in this population:
(1) Use clinical trials to improve the evidence base for treating older adults with cancer,
(2) leverage research designs and infrastructure for generating evidence on older adults with cancer,
(3) increase US Food and Drug Administration authority to incentivize and require research involving older adults with cancer,
(4) increase clinicians’ recruitment of older adults with cancer to clinical trials,
(5) use journal policies to improve researchers’ reporting on the age distribution and health risk profiles of research participants.
Cancer affects people of all ages, but prevalence increases with age. A greater number of older people will therefore be diagnosed with cancer than in other age groups.
Older people have traditionally been neglected in clinical research but this has started to change. It is heartening that the European Cancer Congress (ECCO) being held this month in Vienna is placing emphasis on ‘oncogeriatrics’. However, I am not sure this term is appropriate. We need to give careful consideration to collective names for groups of patients, given the recent outcry about using the word ‘frailty’ because of its association with negative outcomes.
In research I have undertaken, many participants aged 65 and older criticised the phrase ‘older people’, which demonstrates the importance of seeking patients’ opinions from the outset.