Validation of the 70-gene signature test (MammaPrint) to identify patients with breast cancer aged ≥ 70 years with ultralow risk of distant recurrence:A population-based cohort study

Introduction: When risk estimation in older patients with hormone receptor positive breast cancer (HR + BC) is based on the same factors as in younger patients, age-related factors regarding recurrence risk and other-cause mortality are not considered. Genomic risk assessment could help identify patients with ultralow risk BC who can forgo adjuvant treatment. However, assessment tools should be validated specifically for older patients. This study aims to determine whether the 70-gene signature test (MammaPrint) can identify patients with HR + BC aged ≥70 years with ultralow risk for distant recurrence. Materials and Methods: Inclusion criteria: ≥70 years; invasive HR + BC; T1-2N0-3M0. Exclusion criteria: HER2 + BC; neoadjuvant therapy. MammaPrint assays were performed following standardized protocols. Clinical risk was determined with St. Gallen risk classification. Primary endpoint was 10-year cumulative incidence rate of distant recurrence in relation to genomic risk. Subdistribution hazard ratios (sHR) were estimated from Fine and Gray analyses. Multivariate analyses were adjusted for adjuvant endocrine therapy and clinical risk. Results: This study included 418 patients, median age 78 years (interquartile range [IQR] 73–83). Sixty percent of patients were treated with endocrine therapy. MammaPrint classified 50 patients as MammaPrint-ultralow, 224 patients as MammaPrint-low, and 144 patients as MammaPrint-high risk. Regarding clinical risk, 50 patients were classified low, 237 intermediate, and 131 high. Discordance was observed between clinical and genomic risk in 14 MammaPrint-ultralow risk patients who were high clinical risk, and 84 patients who were MammaPrint-high risk, but low or intermediate clinical risk. Median follow-up was 9.2 years (IQR 7.9–10.5). The 10-year distant recurrence rate was 17% (95% confidence interval [CI] 11–23) in MammaPrint-high risk patients, 8% (4–12) in MammaPrint-low (HR 0.46; 95%CI 0.25–0.84), and 2% (0–6) in MammaPrint-ultralow risk patients (HR 0.11; 95%CI 0.02–0.81). After adjustment for clinical risk and endocrine therapy, MammaPrint-high risk patients still had significantly higher 10-year distant recurrence rate than MammaPrint-low (sHR 0.49; 95%CI 0.26–0.90) and MammaPrint-ultralow patients (sHR 0.12; 95%CI 0.02–0.85). Of the 14 MammaPrint-ultralow, high clinical risk patients none developed a distant recurrence. Discussion: These data add to the evidence validating MammaPrint's ultralow risk threshold. Even in high clinical risk patients, MammaPrint-ultralow risk patients remained recurrence-free ten years after diagnosis. These findings justify future studies into using MammaPrint to individualize adjuvant treatment in older patients

Loss of skeletal muscle density during neoadjuvant chemotherapy in older women with advanced stage ovarian cancer is associated with postoperative complications

Objective: To assess the association between loss of lumbar skeletal muscle mass and density during neoadjuvant chemotherapy (NACT) and postoperative complications after interval cytoreductive surgery (CRS) in older patients with ovarian cancer. Materials and methods: This multicenter, retrospective cohort study included patients aged 70 years and older with primary advanced stage ovarian cancer (International Federation of Gynecology and Obstetrics stage III-IV), treated with NACT and interval CRS. Skeletal muscle mass and density were retrospectively assessed using Skeletal Muscle Index (SMI) and Muscle Attenuation (MA) on routinely made Computed Tomography scans before and after NACT. Loss of skeletal muscle mass or density was defined as >2% decrease per 100 days in SMI or MA during NACT. Results: In total, 111 patients were included. Loss of skeletal muscle density during NACT was associated with developing any postoperative complication ≤30 days after interval CRS both in univariable (Odds Ratio (OR) 3.69; 95% Confidence Interval (CI) 1.57–8.68) and in multivariable analysis adjusted for functional impairment and WHO performance status (OR 3.62; 95%CI 1.27–10.25). Loss of skeletal muscle density was also associated with infectious complications (OR 3.67; 95%CI 1.42–9.52) and unintended discontinuation of adjuvant chemotherapy (OR 5.07; 95%CI 1.41–18.19). Unlike loss of skeletal muscle density, loss of skeletal muscle mass showed no association with postoperative outcomes. Conclusion: In older patients with ovarian cancer, loss of skeletal muscle density during NACT is associated with worse postoperative outcomes. These results could add to perioperative risk assessment, guiding the decision to undergo surgery or the need for perioperative interventions

Shared decision-making with older adults with cancer: Adaptation of a model through literature review and expert opinion

Objective: To provide a literature overview of characteristics of Shared Decision Making (SDM) with specific importance to the older adult population with cancer and to tailor an existing model of SDM in patients with cancer to the needs of older adults. Methods: A systematic search of several databases was conducted. Eligible studies described factors influencing SDM concerning cancer treatment with adults aged 65 years or above, with any type of cancer. We included qualitative or mixed-methods studies. Themes were identified and discussed in an expert panel, including a patient-representative, until consensus was reached on an adjusted model. Results: Overall 29 studies were included and nine themes were identified from the literature. The themes related to the importance of goal setting, need for tailored information provision, the role of significant others, uncertainty of evidence, the importance of time during and outside of consultations, the possible ill-informed preconceptions that health care professionals (HCPs) might have about older adults and the specific competencies they need to engage in the SDM process with older adults. No new themes emerged from discussion with expert panel. This study presents a visual model of SDM with older patients with cancer based on the identified themes. Conclusions: Our model shows key elements that are specific to SDM with older adults. Further research needs to focus on how to educate HCPs on the competencies needed to engage in SDM with older patients, and how to implement the model into everyday practice

Impact of age on breast cancer mortality and competing causes of death at 10 years follow-up in the adjuvant TEAM trial

Surgical oncolog

Medication optimization in older adults with advanced cancer and a limited life expectancy:A prospective observational study

Introduction: Polypharmacy is common in older adults with cancer and is associated with drug related problems (DRPs) and potentially inappropriate medication (PIM). We introduced a medication optimization care pathway for older adults with advanced cancer and a limited life expectancy and studied the prevalence of DRPs and PIMs as well as the adherence to medication-related recommendations and the patient satisfaction. Materials and Methods: A medication review was performed in patients aged ≥65 years with polypharmacy and a life expectancy of &lt;24 months. Recommendations on adjustments of medication were discussed in a multidisciplinary team including a pharmacist, an oncologist, and a geriatrician. Implementation of the recommendations was left to the discretion of the oncologist. Four weeks after the implementation, the patient filled a questionnaire to assess satisfaction. Results: One hundred twenty patients were included. The mean age was 75 years and 39% were female. A mean of 12 medications was used. The median number of DRP was 6.0 per patient and median number of PIMs was 3.0 per patient. Overtreatment accounted for 26% of DRP and the most frequently involved drug classes were antihypertensive medication (22%), non-opioid analgesics (22%), and antilipemics (12%). The multidisciplinary team accepted 78% of the recommendations of the pharmacist and the oncologist implemented 54% of the recommendations. Overall, patients were satisfied or very satisfied with the intervention. Discussion: DRPs and PIMs are highly prevalent in this population and can be reduced by a multidisciplinary medication optimization intervention. Patients appreciate the medication optimization intervention and are satisfied with the intervention.</p

Methodology for senior-proof guidelines: A practice example from the Netherlands

RATIONALE, AIMS AND OBJECTIVES: Evidence-based guidelines constitute a foundation for medical decision making. It is often unclear whether recommendations in general guidelines also apply to older people. This study aimed to develop a methodology to increase the focus on older people in the development of guidelines. METHODS: The methodology distinguishes 4 groups of older people: (1) relatively healthy older people; (2) older people with 1 additional specific (interfering) comorbid condition; (3) older people with multimorbidity; and (4) vulnerable older people. RESULTS: The level of focus on older people required may be determined by the prevalence of the disease or condition, level of suffering, social relevance, and the expectation that a guideline may improve the quality of care. A specialist in geriatric medicine may be involved in the guideline process via participation, provision of feedback on drafts, or involvement in the analysis of problem areas. Regarding the patient perspective, it is advised to involve organisations for older people or informal carers in the inventory of problem areas, and additionally to perform literature research of patient values on the subject. If the guideline focuses on older people, then the relative importance of the various outcome measures for this target group needs to be explicitly stated. Search strategies for all the 4 groups are suggested. For clinical studies that focus on the treatment of diseases that frequently occur in older people, a check should be made regarding whether these studies produce the required evidence. This can be achieved by verifying if there is sufficient representation of older people in the studies and determining if there is a separate reporting of results applying to this age group

Shared decision-making with older adults with cancer:Adaptation of a model through literature review and expert opinion

Objective: To provide a literature overview of characteristics of Shared Decision Making (SDM) with specific importance to the older adult population with cancer and to tailor an existing model of SDM in patients with cancer to the needs of older adults. Methods: A systematic search of several databases was conducted. Eligible studies described factors influencing SDM concerning cancer treatment with adults aged 65 years or above, with any type of cancer. We included qualitative or mixed-methods studies. Themes were identified and discussed in an expert panel, including a patient-representative, until consensus was reached on an adjusted model. Results: Overall 29 studies were included and nine themes were identified from the literature. The themes related to the importance of goal setting, need for tailored information provision, the role of significant others, uncertainty of evidence, the importance of time during and outside of consultations, the possible ill-informed preconceptions that health care professionals (HCPs) might have about older adults and the specific competencies they need to engage in the SDM process with older adults. No new themes emerged from discussion with expert panel. This study presents a visual model of SDM with older patients with cancer based on the identified themes. Conclusions: Our model shows key elements that are specific to SDM with older adults. Further research needs to focus on how to educate HCPs on the competencies needed to engage in SDM with older patients, and how to implement the model into everyday practice.</p