Patient-reported outcome (PRO) measurements in chronic and malignant diseases: ten years' experience with PRO-algorithm-based patient-clinician interaction (telePRO) in AmbuFlex.

BACKGROUND: Patient-reported Outcome (PRO) measures may be used as the basis for out-patient follow-up instead of fixed appointments. The patients attend follow-up from home by filling in questionnaires developed for that specific aim and patient group (telePRO). The questionnaires are handled in real time by a specific algorithm, which assigns an outcome color reflecting clinical need. The specific questionnaires and algorithms (named solutions) are constructed in a consensus process with clinicians. We aimed to describe AmbuFlex' telePRO solutions and the algorithm outcomes and variation between patient groups, and to discuss possible applications and challenges. METHODS: TelePRO solutions with more than 100 processed questionnaires were included in the analysis. Data were retrieved together with data from national registers. Characteristics of patients, questionnaires and outcomes were tabulated for each solution. Graphs were constructed depicting the overall and within-patient distribution of algorithm outcomes for each solution. RESULTS: From 2011 to 2021, 29 specific telePRO solutions were implemented within 24 different ICD-10 groups. A total of 42,015 patients were referred and answered 171,268 questionnaires. An existing applicable instrument with cut-off values was available for four solutions, whereas items were selected or developed ad hoc for the other solutions. Mean age ranged from 10.7 (Pain in children) to 73.3 years (chronic kidney disease). Mortality among referred patients varied between 0 (obesity, asthma, endometriosis and pain in children) and 528 per 1000 patient years (Lung cancer). There was substantial variation in algorithm outcome across patient groups while different solutions within the same patient group varied little. DISCUSSION: TelePRO can be applied in diseases where PRO can reflect clinical status and needs. Questionnaires and algorithms should be adapted for the specific patient groups and clinical aims. When PRO is used as replacement for clinical contact, special carefulness should be observed with respect to patient safety.

Clearing of circulating tumour DNA predicts clinical response to osimertinib in EGFR mutated lung cancer patients.

OBJECTIVES: Tyrosine kinase inhibitors (TKIs) are first line treatment choices for patients with epidermal growth factor receptor (EGFR) mutated non-small cell lung cancer (NSCLC). However, responses vary among patients, therefore good biomarkers predicting better responses are required. EGFR mutations are detected in the blood from patients as circulating tumour DNA (ctDNA). Studies have shown that clearing ctDNA during first line TKI treatment predicts outcomes for first and second generation TKI treatments. We aimed to investigate the effects on outcome measures of ctDNA clearing in subsequent treatment lines to treatment with the third generation TKI osimertinib. METHODS: In total, 225 patients were included in a prospective, multicentre study, where consecutive blood samples were monitored for EGFR mutations during systemic treatment lines, using the Cobas® EGFR mutation test v2. This study focused on EGFR mutations in ctDNA of 82 systemically pre-treated patients receiving osimertinib. RESULTS: Clearing all EGFR mutations from the blood after osimertinib treatment, significantly predicted progression-free survival, objective response rates and disease control rates. Primary sensitising EGFR mutations were found in ctDNA in 70 % of patients, and were accompanied by the T790 M mutation in nearly two thirds of cases. The T790 M mutation was cleared in all cases, while the accompanying sensitising mutations did not necessarily clear. However, T790 M clearing without simultaneously clearing of the primary sensitising mutation did not predict clinical responses. Neither the detection of T790 M before osimertinib treatment, nor the presence of EGFR mutations at the time of osimertinib initiation predicted clinical outcomes. CONCLUSION: The clearing of EGFR mutations in ctDNA after osimertinib treatment initiation in patients with advanced NSCLC is useful as a positive predictor of clinical outcome.

Clearing of circulating tumour DNA predicts clinical response to first line tyrosine kinase inhibitors in advanced epidermal growth factor receptor mutated non-small cell lung cancer.

OBJECTIVES: Epidermal growth factor receptor (EGFR) mutations confer sensitivity to tyrosine kinase inhibitors (TKIs) in non-small cell lung cancer (NSCLC). However, a subset of patients has limited or no response. We investigated the initial dynamics of EGFR mutations detected in circulating tumour DNA (ctDNA) during treatment as a predictive marker of outcome. METHODS: A total of 225 patients with advanced EGFR mutated NSCLC were included for consecutive blood sampling in this prospective multicentre study. Out of these, 146 patients received first line TKI and had a baseline blood sample available for EGFR mutation testing with the Cobas® EGFR mutation test V2. For examinations on clearing and clinical outcome, 98 patients who had detectable ctDNA at baseline and at least one follow-up blood sample were included. RESULTS: For patients with EGFR mutations present in plasma at baseline, clearing of mutations from the blood during first line TKI served as a positive predictor for objective response rate (p = 0.0008), progression-free survival (PFS) (p < 0.0001) and overall survival (OS) (p < 0.0001). This was seen both for patients who cleared the ctDNA within the first 7 weeks of treatment and patients who cleared the ctDNA at a slower pace. Baseline mutation presence was a negative predictor for PFS (p = 0.0069) and OS (p = 0.0340). CONCLUSION: The current study is the first to confirm, in a sizeable Caucasian cohort, that clearing of EGFR mutations predict outcome to first line TKI in patients with EGFR mutated NSCLC.