Health-related quality of life in patients with advanced melanoma treated with ipilimumab: prognostic implications and changes during treatment.

BACKGROUND: We have previously reported that the safety and efficacy of ipilimumab in real-world patients with metastatic melanoma were comparable to clinical trials. Few studies have explored health-related quality of life (HRQL) in real-world populations receiving checkpoint inhibitors. This study reports HRQL in real-world patients receiving ipilimumab and assesses the prognostic value of patient-reported outcome measures. PATIENTS AND METHODS: Ipi4 (NCT02068196) was a prospective, multicentre, interventional phase IV trial. Real-world patients (N = 151) with metastatic melanoma were treated with ipilimumab 3 mg/kg intravenously as labelled. HRQL was assessed by the European Organisation of Research and Treatment of Cancer Quality of Life Questionnaire at baseline and after 10-12 weeks. RESULTS: The European Organisation of Research and Treatment of Cancer Quality of Life Questionnaire was completed by 93% (141/151 patients) at baseline, and by 82% at 10-12 weeks. Poor performance status and elevated C-reactive protein (CRP) were associated with worse baseline HRQL. Clinically relevant and statistically significant deteriorations in HRQL from baseline to weeks 10-12 were reported (P <0.05). Baseline physical functioning [hazard ratio (HR) 1.96, P = 0.016], role functioning (HR 2.15, P <0.001), fatigue (HR 1.60, P = 0.030), and appetite loss (HR 1.76, P = 0.012) were associated with poorer overall survival independent of performance status, lactate dehydrogenase (LDH), and CRP. We further developed a prognostic model, combining HRQL outcomes with performance status, LDH, and CRP. This model identified three groups with large and statistically significant differences in survival. CONCLUSIONS: Systemic inflammation is associated with impaired HRQL. During treatment with ipilimumab, HRQL deteriorated significantly. Combining HRQL outcomes with objective risk factors provided additional prognostic information that may aid clinical decision making.

Prognostic models predicting survival of patients with brain metastases: integration of lactate dehydrogenase, albumin and extracranial organ involvement.

AIMS: To explore the role of expanded assessment of metastatic extracranial organ involvement, as well as albumin and lactate dehydrogenase (LDH), i.e. surrogates of disease extent, in survival prediction models for patients with brain metastases. MATERIALS AND METHODS: A retrospective analysis of 189 patients treated with whole brain radiotherapy was carried out. Uni- and multivariate analyses included recursive partitioning analysis classes, basic score for brain metastases and diagnosis-specific graded prognostic assessment (DS-GPA). RESULTS: Elevated LDH correlated significantly with extracranial organ involvement, low albumin with primary tumour type and primary tumour control. Elevated LDH, low albumin and a combination of both correlated significantly with overall survival. LDH, albumin and the number of extracranial organs involved (none, one, two or more harbouring metastases) were independent prognostic factors in multivariate analyses (if added to the three established scores mentioned above and also if added to individual parameters such as age, performance status, etc.). A combination of these three new prognostic factors predicted very short survival (median 0.7 months if all three were present). CONCLUSION: We have previously defined patient groups in whom foregoing radiotherapy was unlikely to compromise survival. These were patients with a DS-GPA score of 0-1.5 points and age ≥75 years or Karnofsky performance status ≤50 or uncontrolled primary tumour with extracranial metastases to at least two organs. Patients with a combination of three new adverse features (elevated LDH plus low albumin plus extracranial metastases to at least two organs) might also be considered for best supportive care. Furthermore, it appears warranted to study whether scores such as DS-GPA can be optimised by integrating information on these three parameters.