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Aim To determinate molecular changes in the downstream epidermal growth factor receptor signaling pathway using serial liquid biopsies in patients with metastatic colorectal tumors (mCRC) under anti-angiogenic treatment. Patients and methods Determination of RAS mutation in primary tissue samples from colorectal tumors was performed in the 23 patients included in the study at diagnosis using quantitative-polymerase chain reaction. Sequential mutations were studied in circulating tumor (ct) DNA obtained from plasma samples. Results Twenty-three patients with RAS-mutated primary tumors were included. In the first ctDNA determination, 17 of these patients were found to have wild-type RAS status. Remarkably, three out of these 17 wild-type cases changed to RAS-mutated in subsequent ctDNA assays. Conclusion Serial liquid biopsies in patients with mCRC might be a useful tool for identifying changes in the RAS mutation status in patients who had undergone previous anti-angiogenic therapy. The understanding of these changes might help to better define the landscape of mCRC and be the path to future randomized studies.

12105 Background: Infection by SARS-CoV-2 can turn into an acute respiratory infection. Approximately 15% of patients will develop a distress syndrome responsible in most cases of mortality. A host hyperinflammatory response induced by a cytokine storm, is the main cause of this severe complication. Chemotherapy myelosuppression is associated with higher risk of infections and mortality in cancer patients. There have been no previous reports about the clinical management of patients with neutropenia and concomitant COVID-19. Herein, we present a multicenter experience in several hospitals during COVID-19 outbreak in neutropenic cancer patients infected by SARS-Cov-2. Methods: Retrospective clinical data were collected from clinical reports. Protocol was approved by a Clinical Research Ethics Committee (HULP: PI-4194). Inclusion criteria were cancer patients with neutropenia (

e20619 Background: Non- small cell lung cancer (NSCLC) is one of the tumors with the highest mortality rate. The underlying metabolic alterations involved in its carcinogenesis are becoming more interesting. According to this, the analysis of the dysregulation of genes involved in lipid metabolism (LM) is subject to a growing research. To evaluate a profile of genes involved in lipid metabolism in NSCLC, we analyzed the correlation of this gene expression profile with different clinical-pathological variables. Methods: We performed a retrospective analysis of 22 genes related to LM in samples of NSCLC as well as clinical-pathological features. Advanced NSCLC patients enrolled from 2008 through 2015 were included. Clinical and pathological data were collected from medical reports. This study was approved in our ethical committee and all patients signed the consent inform. Samples were deparaffinated and RNA was extracted using RNeasy FFPE Kit (Qiagen Gmbh, Germany). A Taq-Man Low Density Array (Applied Biosystems) was specifically designed and gene-expression assays were performed in a HT-7900 Fast Real time PCR. RT-StatMiner software (Integromics Inc., Madison, USA) was used to detect and determine the quality control and differential expression analyses of data. Quantification of gene expression was calculated with the 2–ΔCt method. The Kaplan–Meier method was used for survival probabilities, and the log-rank test was to test differences between subgroups. Results: Ninety patients with advanced NSCLC were included. Median age was 64, 68/90 (75%) were male; 46/90 (51%) were ECOG 1; 68/90 (75%) adenocarcinoma vs 22/90 (24%) squamous; 47/90 (52%) smokers and 34% former smokers; metformine intake was presented in 9/90 (10%) and statins 24/90 (27%). In retrospective RT-PCR analysis including a lipid metabolism gene profile of 22 genes, we obtained an overexpression of 2 genes (an Acyl-CoA sintetase and a adipocine encoding gene). They were significantly correlated with overall poor survival in the multivariate analysis (table). These results were confirmed in an in silico validation using 994 NSCLC patients from TCGA study. Conclusions: This is the first study demonstrating a significant relation with a poor survival between a metabolic lipid gene profile expression and survival in advanced non- small cell lung cancer [Table: see text]

e14737 Background: Lung cancer is the leading cause of cancer death worldwide. Although most of the knowledge about metabolic dysregulation in cancer focuses on carbohydrates, the importance of alterations related to lipid metabolism is starting to be recognized. There is increasing data on lipid metabolism and non-small lung cancer, but much less is known about this in small cell lung cancer (SCLC). In order to improve our knowledge of these alterations we evaluated a genetic profile related to lipid metabolism and studied clinical outcomes. Methods: We performed a retrospective analysis of 22 genes related to lipid metabolism in 37 tumoral tissue samples of SCLC patients and evaluated clinical features and outcomes. Advanced SCLC patients enrolled from November 1, 2008 through December 31, 2015 were included in this analysis. Clinical data were collected from medical records at the time of enrollment. The study was approved by an Ethics Comittee and all patients signed an Informed Consent form. We used formalin-fixed, paraffin- embedded tumor tissue. Samples were deparaffinated and total RNA was extracted. A Taq-Man Low Density Array (Applied Biosystems) was specifically designed and gene-expression assays were performed in a HT-7900 Fast Real time PCR. RT-StatMiner software was used to detect and determine the quality control and differential expression analyses of data. Results: We included 37 patients, 73 % males and 27 % women, with a median age of 62. 29 patients (78%) had stage IV tumor and nearly all of them (92%) were treated with platinum- based chemotherapy. 11 % (4/37) received thoracic radiotherapy and 5% (2/37) received whole brain radiotherapy. 6 patients (16%) were on chronic treatment with metformin and 15 (40%) on statins. We performed a multivariable analysis and found that overexpression of two metabolic genes (a mitochondrial enzyme and a lipid metabolism regulator) led to longer overall survival. (HR 0.13 (0.04-0.42), p 0.0019, padjusted 0.04 and HR 0.11 (0.03-0.35) p 0.0006, padjusted 0.01, respectively). Conclusions: These genes contribute to normal functioning and regulation of lipid metabolism and could be considered as potential prognostic biomarkers. There is no previous evidence of association between levels of expression of these genes and overall survival in SCLC. Validation in a larger series of patients is ongoing.

e20530 Background: Objective data for decision making about treatment options in the elderly population with cancer are lacking. The purpose of this study is to analyze predictive factors of early ...

e20535 Background: Objective data for decision making about treatment options in elderly patients with cancer are lacking. The purpose of this study is to analyze potential predictive factors for t...