Title |
Impact of epidermal growth factor receptor (EGFR) activating mutations and their targeted treatment in the prognosis of stage IV non-small cell lung cancer (NSCLC) patients harboring liver metastasis
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Published in |
Journal of Translational Medicine, August 2015
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DOI | 10.1186/s12967-015-0622-x |
Pubmed ID | |
Authors |
Eduardo Castañón, Christian Rolfo, David Viñal, Inés López, Juan P Fusco, Marta Santisteban, Patricia Martin, Leire Zubiri, José I Echeveste, Ignacio Gil-Bazo |
Abstract |
Liver metastases appear in 20-30% of patients diagnosed with non-small cell lung cancer (NSCLC) and represent a poor prognosis feature of NSCLC and a possibly more treatment-resistant condition. Potential clinical outcome differences in NSCLC patients with liver metastases harboring molecular alterations in EGFR, KRAS and EML4-ALK genes are still to be determined. This study aims to evaluate the incidence of liver metastasis in a single population and look for potential correlations between EGFR mutations, liver infiltration and clinical outcomes. A total of 236 consecutive stage IV NSCLC patients treated at the Clínica Universidad de Navarra were analyzed. At onset, liver metastases were present in 16.9% of patients conferring them a shorter overall survival (OS) compared to those with different metastatic locations excluding liver infiltration (10 vs. 21 months; p = 0.001). Patients with EGFR wild-type tumors receiving standard chemotherapy and showing no liver involvement presented a superior median OS compared to those with liver metastases (23 vs. 13 months; p = 0.001). Conversely, patients with EGFR-mutated tumors treated with EGFR tyrosin-kinase inhibitors (TKI's) presented no significant differences in OS regardless of liver involvement (median OS not reached vs. 25 months; p = 0.81). Overall, liver metastases at onset negatively impact OS of NSCLC patients. EGFR TKIs however, may reverse the effects of an initial negative prognosis of liver metastasis in first-line treatment of EGFR mutated NSCLC patients. |
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Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 4 | 13% |
Other | 3 | 10% |
Student > Master | 3 | 10% |
Student > Bachelor | 2 | 7% |
Professor | 2 | 7% |
Other | 6 | 20% |
Unknown | 10 | 33% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 10 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Unspecified | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 2 | 7% |
Unknown | 13 | 43% |