Dataset Information

Real-world treatment patterns and survival outcomes for advanced non-small cell lung cancer in the pre-immunotherapy era in Portugal: a retrospective analysis from the I-O Optimise initiative.

ABSTRACT: BACKGROUND:As part of the multinational I-O Optimise research initiative, this retrospective cohort study of patients with advanced non-small cell lung cancer (NSCLC) evaluated real-world treatment patterns and survival prior to immunotherapy reimbursement in Portugal. METHODS:This study utilized a database held by IPO-Porto, Portugal's largest oncology hospital. Adult patients diagnosed with stage IIIB or IV NSCLC from January 2012 to December 2016 at IPO-Porto, with follow-up to June 2017, were included. Treatment analyses were performed from 2015 onwards. Kaplan-Meier methods were used for overall survival (OS). Factors associated with OS and systemic anti-cancer therapy (SACT) treatment were assessed using multivariate statistical models. RESULTS:Of 1524 patients diagnosed with NSCLC at IPO-Porto, 1008 patients had advanced disease (stage IIIB: 10.1%, 154/1524, stage IV: 56.0%, 854/1524). For those with advanced disease, median age was 65?years (range: 21-92) and 75.6% (762/1008) were male. Median OS (interquartile range [IQR]) was 11.4 (5.2-26.9) months for stage IIIB and 6.3 (2.4-15.0) months for stage IV. Factors associated with decreased risk of death included female sex and epidermal growth factor receptor gene (EGFR)/anaplastic lymphoma kinase gene (ALK) mutations/rearrangements; factors associated with increased risk of death included older age and stage IV disease. Among patients diagnosed in 2015 or 2016, 75.8% (297/392) received ?1 line of SACT. Platinum-based chemotherapy was the most common first-line therapy (non-squamous cell carcinoma [NSQ]: 72.9%; squamous cell carcinoma [SQ] 87.3%, 55/63; patients with EGFR/ALK mutations/rearrangements primarily received tyrosine kinase inhibitors). The likelihood of receiving SACT was lower in older patients and those diagnosed with stage IV disease. Patients not receiving SACT had poor survival outcomes (median OS [IQR]: NSQ, 1.8 [1.1-3.1] months; SQ, 2.3 (1.3-3.4) months), while median OS (IQR) in SACT-treated patients was 12.6 (6.1-24.5) months for NSQ and 10.3 (5.7-15.9) months for SQ. CONCLUSIONS:This real-world data analysis from a large Portuguese oncology hospital demonstrates a high disease burden for advanced NSCLC in the pre-immunotherapy era, with nearly one-quarter of patients not receiving SACT. Even in patients receiving SACT, median survival was only about 1?year.

SUBMITTER: Soares M

PROVIDER: S-EPMC7488009 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Real-world treatment patterns and survival outcomes for advanced non-small cell lung cancer in the pre-immunotherapy era in Portugal: a retrospective analysis from the I-O Optimise initiative.

Soares Marta M Antunes Luís L Redondo Patrícia P Borges Marina M Hermans Ruben R Patel Dony D Grimson Fiona F Munro Robin R Chaib Carlos C Lacoin Laure L Daumont Melinda M Penrod John R JR O'Donnell John C JC Bento Maria José MJ Rocha Gonçalves Francisco F

BMC pulmonary medicine 20200910 1

<h4>Background</h4>As part of the multinational I-O Optimise research initiative, this retrospective cohort study of patients with advanced non-small cell lung cancer (NSCLC) evaluated real-world treatment patterns and survival prior to immunotherapy reimbursement in Portugal.<h4>Methods</h4>This study utilized a database held by IPO-Porto, Portugal's largest oncology hospital. Adult patients diagnosed with stage IIIB or IV NSCLC from January 2012 to December 2016 at IPO-Porto, with follow-up to ...[more]

PMID: 32912174

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Dataset Information

Real-world treatment patterns and survival outcomes for advanced non-small cell lung cancer in the pre-immunotherapy era in Portugal: a retrospective analysis from the I-O Optimise initiative.

Publications

Real-world treatment patterns and survival outcomes for advanced non-small cell lung cancer in the pre-immunotherapy era in Portugal: a retrospective analysis from the I-O Optimise initiative.

Similar Datasets

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