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Aim: To define high tumor burden (HTB) in non-small-cell lung cancer. Methods: A total of five oncologists initiated the project, selecting 66 participants, and elaborated a questionnaire with 26 statements using the Delphi method with a 9-point Likert scale of agreement. Results: Factors with moderate strength of consensus were identified, including a sum of the longest diameter of lesions ≥10 cm, elevated LDH, hepatic involvement, lymphangitis carcinomatosis, brain involvement unapproachable with local techniques and pericardial effusion. There was a consensus against increases in tumor markers and asymptomatic brain involvement being related to HTB. HTB was considered a relevant factor for treatment selection supporting the choice of combination regimens versus immunotherapy only. Conclusion: In this Delphi study, experts defined several factors associated with HTB in non-small cell lung cancer.

Supplementary Figure 1. CYP3A4.25 protein stability assessment

Purpose: Neuropathy is the dose-limiting toxicity of paclitaxel and a major cause for decreased quality of life. Genetic factors have been shown to contribute to paclitaxel neuropathy susceptibility; however, the major causes for interindividual differences remain unexplained. In this study, we identified genetic markers associated with paclitaxel-induced neuropathy through massive sequencing of candidate genes.Experimental Design: We sequenced the coding region of 4 EPHA genes, 5 genes involved in paclitaxel pharmacokinetics, and 30 Charcot–Marie–Tooth genes, in 228 cancer patients with no/low neuropathy or high-grade neuropathy during paclitaxel treatment. An independent validation series included 202 paclitaxel-treated patients. Variation-/gene-based analyses were used to compare variant frequencies among neuropathy groups, and Cox regression models were used to analyze neuropathy along treatment.Results: Gene-based analysis identified EPHA6 as the gene most significantly associated with paclitaxel-induced neuropathy. Low-frequency nonsynonymous variants in EPHA6 were present exclusively in patients with high neuropathy, and all affected the ligand-binding domain of the protein. Accumulated dose analysis in the discovery series showed a significantly higher neuropathy risk for EPHA5/6/8 low-frequency nonsynonymous variant carriers [HR, 14.60; 95% confidence interval (CI), 2.33–91.62; P = 0.0042], and an independent cohort confirmed an increased neuropathy risk (HR, 2.07; 95% CI, 1.14–3.77; P = 0.017). Combining the series gave an estimated 2.5-fold higher risk of neuropathy (95% CI, 1.46–4.31; P = 9.1 × 10−4).Conclusions: This first study sequencing EPHA genes revealed that low-frequency variants in EPHA6, EPHA5, and EPHA8 contribute to the susceptibility to paclitaxel-induced neuropathy. Furthermore, EPHA's neuronal injury repair function suggests that these genes might constitute important neuropathy markers for many neurotoxic drugs. Clin Cancer Res; 23(5); 1227–35. ©2016 AACR.

Supplementary Table 1. Non synonymous coding and splicing site variants in the discovery series targeted sequencing. Supplementary Table 2. Association of common non-synonymous coding variants with paclitaxel-induced neuropathy.

Supplementary Figure 3. CYP3A4*22 association with paclitaxel-induced neuropathy and paclitaxel dose modifications.

Supplementary Figure 2. Neuropathy risk conditions confer an increased risk of paclitaxel-induced neuropathy and a trend towards treatment modifications.

Supplementary Figures S1-S4; Supplementary Tables S1-S3.

Purpose: Paclitaxel, a widely used chemotherapeutic drug, can cause peripheral neuropathies leading to dose reductions and treatment suspensions and decreasing the quality of life of patients. It has been suggested that genetic variants altering paclitaxel pharmacokinetics increase neuropathy risk, but the major causes of interindividual differences in susceptibility to paclitaxel toxicity remain unexplained. We carried out a whole-exome sequencing (WES) study to identify genetic susceptibility variants associated with paclitaxel neuropathy.Experimental Design: Blood samples from 8 patients with severe paclitaxel-induced peripheral neuropathy were selected for WES. An independent cohort of 228 cancer patients with complete paclitaxel neuropathy data was used for variant screening by DHPLC and association analysis. HEK293 cells were used for heterologous expression and characterization of two novel CYP3A4 enzymes.Results: WES revealed 2 patients with rare CYP3A4 variants, a premature stop codon (CYP3A4*20 allele) and a novel missense variant (CYP3A4*25, p.P389S) causing reduced enzyme expression. Screening for CYP3A4 variants in the independent cohort revealed three additional CYP3A4*20 carriers, and two patients with missense variants exhibiting diminished enzyme activity (CYP3A4*8 and the novel CYP3A4*27 allele, p.L475V). Relative to CYP3A4 wild-type patients, those carrying CYP3A4 defective variants had more severe neuropathy (2- and 1.3-fold higher risk of neuropathy for loss-of-function and missense variants, respectively, P = 0.045) and higher probability of neuropathy-induced paclitaxel treatment modifications (7- and 3-fold higher risk for loss-of-function and missense variants, respectively, P = 5.9 × 10−5).Conclusion: This is the first description of a genetic marker associated with paclitaxel treatment modifications caused by neuropathy. CYP3A4 defective variants may provide a basis for paclitaxel treatment individualization. Clin Cancer Res; 21(2); 322–8. ©2014 AACR.

Supplementary data. Supplementary figure legends and supplementary tables

Purpose: Preoperative chemoradiotherapy (CRT) is the treatment of choice for rectal cancer (RC), but half of the patients do not respond, suffer unnecessary toxicities, and surgery delays. We aimed to develop a model that could predict a clinically meaningful response to CRT by using formalin-fixed paraffin-embedded (FFPE) biopsies.Experimental Design: We first carried out an exploratory screening of candidate genes by using SAGE technology to evaluate dynamic changes in the RC transcriptome in selected refractory patients before and after CRT. Next, 53 genes (24 from SAGE and 29 from the literature) were analyzed by qPCR arrays in FFPE initial biopsies from 94 stage II/III RC patients who were preoperatively treated with CRT. Tumor response was defined by using Dworak's tumor regression grade (2–3–4 vs. 0–1). Multivariate Cox methods and stepwise algorithms were applied to generate an optimized predictor of response and outcome.Results: In the training cohort (57 patients), a 13-gene signature predicted tumor response with 86% accuracy, 87% sensitivity, and 82% specificity. In a testing cohort (37 patients), the model correctly classified 6 of 7 nonresponders, with an overall accuracy of 76%. A signature-based score identified patients with a higher risk of relapse in univariate (3-year disease-free survival 64% vs. 90%, P = 0.001) and multivariate analysis (HR = 4.35 95% CI: 1.2–15.75, P = 0.02), in which it remained the only statistically significant prognostic factor.Conclusions: A basal 13-gene signature efficiently predicted CRT response and outcome. Multicentric validation by the GEMCAD collaborative group is currently ongoing. If confirmed, the predictor could be used to improve patient selection in RC studies. Clin Cancer Res; 17(12); 4145–54. ©2011 AACR.

Tumor molecular profiling upon disease progression enables investigations of the tumor evolution. Next-generation sequencing (NGS) of liquid biopsies constitutes a noninvasive readily available source of tumor molecular information. In this study, 124 plasma samples from advanced EGFR-positive NSCLC patients, treated with a first-line EGFR tyrosine kinase inhibitor (EGFR-TKI) were collected upon disease progression. The circulating cell-free DNA (cfDNA) was sequenced using the Oncomine Pan-Cancer Cell-Free Assay™. Excluding EGFR mutations, the most frequently mutated gene was TP53 (57.3%), followed by APC (11.3%), FGFR3 (7.3%), and KRAS (5.6%). Different molecular alterations were observed upon disease progression depending on the location of the original EGFR-sensitizing mutation. Specifically, the detection of the p.T790M mutation was significantly associated with the presence of exon 19 mutations in EGFR (Fisher p-value: 0.028). All KRAS activating mutations (n = 8) were detected in tumors with EGFR mutations in exons 18 and 21 (Fisher p-value < 0.001). Similarly, mutations in NRAS and HRAS were more frequently detected in samples from tumors harboring mutations in exons 18 or 21 (Fisher p-value: 0.050 and Fisher p-value: 0.099, respectively). In conclusion, our data suggest that the mechanisms underlying EGFR-TKI resistance could be dependent on the exon location of the original EGFR-sensitizing mutation.

Tumor molecular profiling upon disease progression enables investigations of the tumor evolution. Next-generation sequencing (NGS) of liquid biopsies constitutes a noninvasive readily available source of tumor molecular information. In this study, 124 plasma samples from advanced

Survival data support the use of first-line osimertinib as the standard of care for epidermal growth factor receptor (EGFR)-positive non-small cell lung cancer (NSCLC). However, it remains unclear whether upfront osimertinib is superior to sequential first- or second-generation tyrosine kinase inhibitors (TKIs) followed by osimertinib for all patients. It is impossible to predict which patients are at high risk of progression, and this constitutes a major limitation of the sequential TKI approach.A total of 830 plasma samples from 228 patients with stage IV, EGFR-positive NSCLC who were treated with first-line TKIs were analysed by digital polymerase chain reaction (dPCR).The circulating tumour DNA (ctDNA) levels helped to identify patients with significantly improved survival rate, regardless of the treatment. Patients treated with first- or second-generation TKIs (N = 189) with EGFR mutations in plasma at a mutant allele frequency (MAF)7% before treatment initiation (low-risk patients) or who were ctDNA negative after 3 or 6 months of treatment and with an MAF7% at diagnosis (high responders) had two-thirds lower risk of death than patients in the opposite situation (adjusted hazard ratio [HR] = 0.38; 95% confidence interval [CI]: 0.23-0.64 and HR = 0.22; 95% CI: 0.12-0.42, respectively). The median overall survival (OS) for low-risk patients and high responders treated with first- or second-generation TKIs was 34.2 months and not reached, respectively, regardless of second-line treatment. There were no significant difference in OS between low-risk or high-responder patients treated upfront with osimertinib (N = 39) and those treated under a sequential approach with osimertinib (N = 60). Median OS was not reached in both cases.Pre-treatment ctDNA levels identify low-risk patients, who may benefit from sequential TKI treatment. Information regarding EGFR mutation clearance can help to improve patient selection.

Lung cancer is the leading cause of cancer death worldwide and the majority of the patients have advanced/metastatic disease on presentation. In clinical practice, several biomarkers and clinical factors are taken into account when choosing the best treatment option in advanced non-small-cell lung cancer (NSCLC). One potential marker may be tumor burden (TB). However, this concept is not specifically defined in NSCLC, and usually, it is used as a synonymous for aggressive disease.A non-systematic literature review was conducted. We searched for eligible randomized controlled trials from PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials with a cutoff at February 2021. The keywords included non-small-cell lung cancer, tumor burden, aggressive disease, prognosis biomarker, predictive biomarker, and immunotherapy.This review addresses the definition of TB in advanced NSCLC, the pathophysiology of high TB lesions, and the role of TB as a prognosis biomarker.The concept of aggressive disease, as high tumor burden definition, remains poorly defined and rarely considered in clinical research or clinical practice in oncology. The identification of this subgroup of patients could be interesting for defining and optimizing a more aggressive treatment strategy.

Objective: Long-term survivors (LS) of non-small cell lung cancer (NSCLC) without driver alterations, displaying an overall survival (OS) of more than 3 years, comprise around 10% of cases in several series treated with chemotherapy. There are classical prognosis factors for these cases [stage, Eastern Cooperative Oncology Group (ECOG), etc.], but more data are required in the literature. In this multi-center study, we focused on LS of advanced NSCLC with OS above 36 months to perform a clinical-pathological and molecular characterization. Methods: In the first step, we conducted a clinical-pathological characterization of the patients. Afterwards, we carried out a genetic analysis by comparing LS to a sample of short-term survivors (SS) (with an OS less than 9 months). We initially used whole-genome RNA-seq to identify differentiating profiles of LS and SS, and later confirmed these with reverse transcription-polymerase chain reaction (RT-PCR) for the rest of the samples. Results: A total of 94 patients were included, who were mainly men, former smokers, having adenocarcinoma (AC)-type NSCLC with an ECOG of 0–1. We obtained an initial differential transcriptome expression, displaying 5 over- and 33 under-expressed genes involved in different pathways: namely, the secretin receptor, surfactant protein, trefoil factor 1 (TFF1), serpin, Ca-channels, and Toll-like receptor (TLRs) families. Finally, RT-PCR analysis of 40 (20 LS/20 SS) samples confirmed that four genes (surfactant proteins and SFTP) were significantly down-regulated in SS compared to LS by using an analysis of covariance (ANCOVA) model: SFTPA1 (P = 0.023), SFTPA2 (P = 0.027), SFTPB (P = 0.02), and SFTPC (P = 0.047). Conclusions: We present a sequential genetic analysis of a sample of NSCLC LS with no driver alterations, obtaining a differential RNA-seq/RT-PCR profile showing an abnormal expression of SF genes.

In recent years, studies have explored different combinations of immunotherapy and chemotherapy. The rationale behind these is the improved survival outcomes of new immunologic therapies used in first-line-treatment of advanced non-small cell lung cancer. Moreover, for the most-studied combinations of anti-programed death-1 (PD-1)/programed death ligand-1 (PD-L1) with the addition of platinum- based chemotherapy, recent research is investigating whether combining different immunologic antitumoral mechanisms of action, such as anti-PD-1/PD-L1 and anti-CTLA-4, or anti-PD-L1 and anti-TIGIT, with or without chemotherapy, can improve efficacy outcomes compared with more classical combinations, or compared with standard chemotherapy alone. Here, we present the data of the main randomized studies that have evaluated these combinations, focusing on the basic rationale behind the different combinations, and the efficacy and tolerability data available to date.

Simple Summary Despite the progress in surgery and therapies, small cell lung cancer (SCLC) is still one of the most lethal types of cancer. The disease control remains heterogeneous and consequently, the ability to predict patient survival would be of great clinical value. Here, we propose for the first time, a metabolic precision approach for SCLC patients. We found that a healthy metabolic status contributes to increasing SCLC survival. Moreover, we discovered that two lipid metabolism-related genes, racemase and perilipin 1, and a genetic risk score of both genes, predict better SCLC survival. Our results show that a metabolic scenario characterized by metabolic health, lipid gene expression and environmental factors, is crucial for increase SCLC survival. Abstract Small cell lung cancer (SCLC) prognosis is the poorest of all types of lung cancer. Its clinical management remains heterogeneous and therefore, the capability to predict survival would be of great clinical value. Metabolic health (MH) status and lipid metabolism are two relevant factors in cancer prevention and prognosis. Nevertheless, their contributions in SCLC outcome have not yet been analyzed. We analyzed MH status and a transcriptomic panel of lipid metabolism genes in SCLC patients, and we developed a predictive genetic risk score (GRS). MH and two lipid metabolism genes, racemase and perilipin 1, are biomarkers of SCLC survival (HR = 1.99 (CI95%: 1.11–3.61) p = 0.02, HR = 0.36 (CI95%: 0.19–0.67), p = 0.03 and HR = 0.21 (CI95%: 0.09–0.47), respectively). Importantly, a lipid GRS of these genes predict better survival (c-index = 0.691). Finally, in a Cox multivariate regression model, MH, lipid GRS and smoking history are the main predictors of SCLC survival (c-index = 0.702). Our results indicate that the control of MH, lipid gene expression and environmental factors associated with lifestyle is crucial for increased SCLC survival. Here, we propose for the first time, a metabolic precision approach for SCLC patients.

Overexpression of the enzyme ACSL3 is an unfavorable prognostic marker in non‐small cell lung cancer (NSCLC). Moreover, overexpression of ACSL3 increases cell proliferation, migration, and invasion, altering the metabolic properties of cancer cells. Administration of statins causes antiproliferative effects and, importantly, patients with high expression levels of ACSL3 following statin treatment display better prognosis than those not treated with statins., Lung cancer is one of the most common cancers, still characterized by high mortality rates. As lipid metabolism contributes to cancer metabolic reprogramming, several lipid metabolism genes are considered prognostic biomarkers of cancer. Statins are a class of lipid‐lowering compounds used in treatment of cardiovascular disease that are currently studied for their antitumor effects. However, their exact mechanism of action and specific conditions in which they should be administered remains unclear. Here, we found that simvastatin treatment effectively promoted antiproliferative effects and modulated lipid metabolism‐related pathways in non‐small cell lung cancer (NSCLC) cells and that the antiproliferative effects of statins were potentiated by overexpression of acyl‐CoA synthetase long‐chain family member 3 (ACSL3). Moreover, ACSL3 overexpression was associated with worse clinical outcome in patients with high‐grade NSCLC. Finally, we found that patients with high expression levels of ACSL3 displayed a clinical benefit of statins treatment. Therefore, our study highlights ACSL3 as a prognostic biomarker for NSCLC, useful to select patients who would obtain a clinical benefit from statin administration.

Introduction: Based on the high incidence of thromboembolic events (TEs) observed in lung adenocarcinomas with ALK translocations and taking into account the biological proximity of ROS1 and ALK, we conducted a retrospective analysis of patients with advanced lung carcinoma carrying rearrangements in ROS1 from 23 centres in Spain and one centre in Portugal. Methods: The main objective of the study was to analyse the incidence of TE in this population, looking for predictive risk factors, and its impact on overall survival. Results: A total of 58 patients were included. The incidence of TEs throughout the disease was 46.6% (n = 27) with a median follow-up of 19 months (range: 1-78 months) and a median overall survival of 52 months in the total population and 50 months for the patients presenting TEs, with a hazards ratio of 1.12 (95% confidence interval: 0.47-2.65) p = 0.78. The majority of the events were venous (n = 24; 89%) and occurred in the ambulatory setting (n = 18; 67%). Almost half of the patients (n = 13; 48%) presented the TE in the peri-diagnostic period. Conclusions: The high incidence of thrombosis, especially during the cancer diagnosis process, requires special attention from a clinician. Despite the limitations of such a small descriptive study, its results are in accordance with previously reported data. It would be important to design prospective studies of antithrombotic prophylaxis in this population because of their possible impact in reducing the risk of TEs. (C) 2020 Elsevier Ltd. All rights reserved.

Introduction Uncommon epidermal growth factor receptor (EGFR) mutations (u-EGFRm) are a heterogeneous group of molecular alterations and have also been reported as comutations with other EGFR mutations (complex mutations) in non–small-cell lung cancer (NSCLC). Afatinib has shown activity against some u-EGFRm, and we examined its efficacy in Spanish clinical practice. Patients and Methods Data of 67 patients with advanced NSCLC with u-EGFRm treated with afatinib between 2012 and 2017 at 23 Spanish institutions were reviewed. u-EGFRm were analyzed as complex mutations (group A), EGFR exon 20 insertions (ins20; group B), or single mutations (group C). Efficacy was evaluated in terms of overall survival (OS) and tumor response. Results Group A complex u-EGFRm consisted of double mutations of G719X+E709F, G719X+S768I, G719X+L861Q, L858R+T790M, L858R+S768I, L858R+S765I, del19+S768I, del19+L747S, or R776C+L861Q. No differences in clinical characteristics were found between groups A (n = 20), B (n = 23), and C (n = 24). Afatinib was administered as first-line therapy in 80% of patients. Median time of receipt of therapy was 4.2 months (range, 2.0–12.9 months). Median OS for the entire cohort was 19.9 months (95% confidence interval, 9.7, 30.1). Hazard ratios for OS were 0.26 (95% confidence interval, 0.10, 0.71; P = .008) and 0.40 (95% confidence interval, 0.17, 0.95; P = .037) for groups A and C compared to B, respectively. Response was significantly higher in groups A (70%) and C (54%) compared to B (13%; pairwise comparison P Conclusion In clinical practice, afatinib was active in patients with u-EGFRm NSCLC, particularly in complex and single mutations. Further strategies are needed for patients with ins20, a subgroup u-EGFRm with a lower clinical benefit with afatinib.

Simple Summary Infections with COVID-19 in neutropenic cancer patients are related to poor outcomes. A G-CSF treatment used in neutropenic cancer with SARS-CoV-2 infections is related to a higher rate of respiratory failure according to progressive and growing evidence. In this small retrospective non-randomized study, we found an association between G-CSF treatment and the parameters predisposing for worse infections with COVID-19 and neutropenia compared with patients not treated with G-CSF. We also found that the number of days on G-CSF treatment was related to a higher risk of mortality in a multivariable analysis among patients treated with G-CSF. Abstract Background: Approximately 15% of patients infected by SARS-CoV-2 develop a distress syndrome secondary to a host hyperinflammatory response induced by a cytokine storm. Myelosuppression is associated with a higher risk of infections and mortality. There are data to support methods of management for neutropenia and COVID-19. We present a multicenter experience during the first COVID-19 outbreak in neutropenic cancer patients infected by SARS-CoV-2. Methods: Clinical retrospective data were collected from neutropenic cancer patients with COVID-19. Comorbidities, tumor type, stage, treatment, neutropenia severity, G-CSF, COVID-19 parameters, and mortality were analyzed. A bivariate analysis of the impact on mortality was carried out. Additionally, we performed a multivariable logistic regression to predict respiratory failure and death. Results: Among the 943 cancer patients screened, 83 patients (11.3%) simultaneously had neutropenia and an infection with COVID-19. The lungs (26%) and breasts (22%) were the primary locations affected, and most patients had advanced disease (67%). In the logistic model, as adjusted covariates, sex, age, treatment (palliative vs. curative), tumor type, and the lowest level of neutrophils were used. A significant effect was obtained for the number of days of G-CSF treatment (OR = 1.4, 95% CI [1,1,03,92], p-value = 0.01). Conclusions: Our findings suggest that a prolonged G-CSF treatment could be disadvantageous for these cancer patients with infections by COVID-19, with a higher probability of worse outcome.

Lung cancer is currently one of the most serious health issues in developed and developing countries. There are multiple available treatment options; however survival still remains very poor. Despite metabolism alteration being one of the hallmarks described in human cancer, lipid metabolism disorders are less known. They are recently becoming more important in this setting and therefore achieving a deeper knowledge might be helpful to obtain new strategies to accurate diagnosis, estimate prognosis, and develop therapeutic agents based on bioactive compounds such as cerulenin, SCD1, ACLY inhibitors, statins, polyphenolic compounds, etc. The present paper reviews the basis of lipid metabolism in lung cancer and suggests potential biomarkers. Further investigation is crucial to improve our knowledge in this area.

Purpose: Neuropathy is the dose-limiting toxicity of paclitaxel and a major cause for decreased quality of life. Genetic factors have been shown to contribute to paclitaxel neuropathy susceptibility; however, the major causes for interindividual differences remain unexplained. In this study, we identified genetic markers associated with paclitaxel-induced neuropathy through massive sequencing of candidate genes. Experimental Design: We sequenced the coding region of 4 EPHA genes, 5 genes involved in paclitaxel pharmacokinetics, and 30 Charcot–Marie–Tooth genes, in 228 cancer patients with no/low neuropathy or high-grade neuropathy during paclitaxel treatment. An independent validation series included 202 paclitaxel-treated patients. Variation-/gene-based analyses were used to compare variant frequencies among neuropathy groups, and Cox regression models were used to analyze neuropathy along treatment. Results: Gene-based analysis identified EPHA6 as the gene most significantly associated with paclitaxel-induced neuropathy. Low-frequency nonsynonymous variants in EPHA6 were present exclusively in patients with high neuropathy, and all affected the ligand-binding domain of the protein. Accumulated dose analysis in the discovery series showed a significantly higher neuropathy risk for EPHA5/6/8 low-frequency nonsynonymous variant carriers [HR, 14.60; 95% confidence interval (CI), 2.33–91.62; P = 0.0042], and an independent cohort confirmed an increased neuropathy risk (HR, 2.07; 95% CI, 1.14–3.77; P = 0.017). Combining the series gave an estimated 2.5-fold higher risk of neuropathy (95% CI, 1.46–4.31; P = 9.1 × 10−4). Conclusions: This first study sequencing EPHA genes revealed that low-frequency variants in EPHA6, EPHA5, and EPHA8 contribute to the susceptibility to paclitaxel-induced neuropathy. Furthermore, EPHA's neuronal injury repair function suggests that these genes might constitute important neuropathy markers for many neurotoxic drugs. Clin Cancer Res; 23(5); 1227–35. ©2016 AACR.

e21196 Background: Non-small cells lung cancer (NSCLC) patients treated with Tyrosine Kinase Inhibitors (TKI) at first-line ultimately develop disease progression after 10 to 14 months. Mechanisms underlying TKI-resistance are not complete understood. Tumor re-biopsy is often unfeasible for NSCLC patients and liquid biopsy is a suitable alternative in identify mechanism by which tumors progress. Methods: 113 plasma samples were collected from advanced stage EGFR positive NSCLC patients upon disease progression according to RECIST V1.1. cfDNA NGS profiling was carried out using the Oncomine™ Pan-Cancer Cell-Free Assay and sequenced on an Ion GeneStudio S5 Plus System. Variant calling and annotation were performed with Torrent Suite and Ion Reporter (v5.16) software, respectively. In addition, we developed a bioinformatic pipeline, using RStudio for variant filtering. Results: Overall, 344 somatic variants were detected with an average number of variants per patient of 2.32 and a median Mutant Allele Frequency (MAF) of 0.83%. Most mutated genes were EGFR (63.72%), TP53 (60.18%), APC (16.81%), MAP2K1 (11.50%), PIK3CA (10.62%), FGFR3 (7.08%), KRAS (7.08%) and BRAF (6.19%). As expected, SNPs were the most frequent mutation type (72.67%), following by INDELs (24.41%) and CNVs (2.91%). We found high co-occurrence between MYC-GNA11, MYC-CCND2, HRAS-AR and EGFR-TP53 genes using Jaccard’s score (0.5, 0.5, 0.5 and 0.46, respectively). Within EGFR-mutated patients, 40% had T790M resistance mutation. Finally, we found KRAS mutations and missense PIK3CA mutations were mutually exclusive. Conclusions: Molecular profiling of liquid biopsies collected upon disease progression using NGS help to identify molecular mechanisms underlying treatment failure.

Recent studies show that the inner Galactic regions host genuine bulge globular clusters, but also halo intruders, complex remnants of primordial building blocks, and objects likely accreted during major merging events. In this study we focus on the properties of M 28, a very old and massive cluster currently located in the Galactic bulge. We analysed wide-field infrared photometry collected by the VVV survey, VVV proper motions, and intermediate-resolution spectra in the calcium triplet range for 113 targets in the cluster area. Our results in general confirm previous estimates of the cluster properties available in the literature. We find no evidence of differences in metallicity between cluster stars, setting an upper limit of Delta[Fe/H], Accepted for publication in Astronomy & Astrophysics

e21515 Background: The liquid biopsy (LB) is an important tool in the diagnostic and follow up of the patients with non-small cell lung cancer (NSCLC) and can provide big information about the mutational variability of the disease during of the treatment. Methods: We conducted a multicenter study with 200 patients with EGFR-mutated NSCLC, treated with first-line TKI therapy. We analyse the ctDNA by dPCR pre-treatment, at 8 weeks, at 7 months and at the progression of the disease (PD). Results: A total of 200 patients (60% women / 40% men) were included. The median of age was 68-year. The never smokers were 56% and 34% ex-smokers. 92% of the cases were adenocarcinomas. According to the stage of the disease, 52% were stage IVB, 38.5% stage IVA and 9.5% unknown. The first-line treatment was afatinib in 47.5%, erlotinib in 21.5% and gefitinib in 31%. According to the type of sensitivity mutation, 61.5% corresponded to Del19, 32% to L858R, 2.5% to G719X and 2.5% to L861Q. At the time of diagnosis, 63% had pulmonary metastatic involvement and 42.5% liver metastasis. At the time of data analysis, 66% of the patients had some progression of the disease (PD) and 37% died. 68% of the patients with Del19 received afatinib, while 20% of the patients with L858R received afatinib, 54.5% erlotinib and 32% gefitinib (p = 0.02). With a median follow-up of 20 months, progression-free survival was 11.8 months, without any differences according to the treatment (p = 0.93). The groups with worse PFS included: the squamous histology (HR 5.7; 95%CI 2.04-15.91, p = 0.001), the G719X mutation (HR 3.36; 95%CI 1.21-9.25, p = 0.019) and the liver metastasis (HR 1.65; 95%CI 1.01-2.68, p = 0.042). The sensitizing mutation was detected in the 80.8% of the patients in the LB by dPCR and the T790M in 2%. However, in the first control only was detectable in 18.5%. At the time of PD, the percentage of detection of T790M raised to 52.3%, and the sensitizing mutation 79.44%. At that moment, patients who developed T790M were mostly never smokers (66%, p = 0.006) and had Del19 (66%). Patients with bone progression developed T790M in 60.4% (p = 0.014) and hepatic 27% (p = 0.012). Conclusions: We concluded that the clinical characteristics of the patients of the OPH study are consistent with the previous reported in the Caucasian population and the subgroups with the worst prognosis include the squamous histology, the G719X mutation and the liver metastasis.

e15012 Background: Antinuclear antibodies (ANAs) constitute a spectrum of autoantibodies targeted to nuclear and cytoplasmic components of the cells considered serological markers for different autoimmune disease. However, ANAs are also presented in different types of cancers. Here, we present an exploratory analysis of ANAs patterns detected in patients with a recent cancer diagnosis. Methods: We carried out a prospective analysis of patients recently diagnosed of cancer in two centers. All were tested for ANAs from January to December 2019. Clinical-pathological features were collected from clinical reports. Results: 190 patients were included with different tumors: Lung(56.3%); colon/rectum(16.3%); head-neck(10.5%); pancreas(3.6%); stomach(3.1%); sarcoma(3.1%); urothelial(2.6%) and others( 3.6%). Most of the patients (pts) had stage IV (65.7%) and III (26.8%). Several histologies were included: adenocarcinoma(55.7%); squamous (32.6%) and others (transitional, clear cells, small cell and mesotelial/sarcoma). Chemotherapy was the main treatment (73.6%pts) followed by immunotherapy (11.5%pts), targeted therapy (6.8%pts) and chemo-inmunotherapy (3.1%pts). Among all pts included, only 13 had autoimmune disease: polymyalgia rheumatica (1pt); psoriasis (4pts), bronchial hyperreactivity (2pts) and hypotiroidism (6pts). In this cohort, we found that 60/190, 31.5%pts, showed positive ANAs (+) titers by immunofluorescence analysis. Different patterns were described according to First International Consensus on Standardized Nomenclature of ANAs. The predominant was a speckled pattern presented in 26% pts; secondly, a nucleolar pattern in 16.6% pts and CENP-F AC14 was presented in 8.3%pts. More minoritary patterns were also described. Patients with advanced lung cancer included 56.6% of ANAs (+) cases followed by colorectal cancer (11.6%). Adenocarcinoma (73,3 % pts) and squamous carcinoma (16,6% pts) were the most common histologies among ANAs (+) cases but none of the small cell carcinoma were ANA(+). The majority of ANAs (+) patients were on chemotherapy (73.3 % pts) followed by immunotherapy (16.6% pts). On the other hand, 4/13 of patients with autoimmune diseases presented ANAs(+) titers (CENT-F, scl70 and AC3 patterns). The only patient who developed a severe inmune-related toxicity was ANA negative. Conclusions: In this study, we describe the prevalence of ANAs and their patterns in a cohort of cancer patients. A complementary description of relevant clinical-pathological features in ANAs(+) subgroup is also reported.

Background Peripheral neuropathy is the dose-limiting toxicity of many oncology drugs, including paclitaxel. There is large interindividual variability in the neuropathy, and several risk factors have been proposed; however, many have not been replicated. Here we present a comprehensive study aimed at identifying treatment and physiopathology-related paclitaxel-induced neuropathy risk factors in a large cohort of well-characterized patients. Patients and Methods Analyses included 503 patients with breast or ovarian cancer who received paclitaxel treatment. Paclitaxel dose modifications caused by the neuropathy were extracted from medical records and patients self-reported neuropathy symptoms were collected. Multivariate logistic regression analyses were performed to identify concomitant medications and comorbidities associated with paclitaxel-induced neuropathy. Results Older patients had higher neuropathy: for each increase of 1 year of age, the risk of dose modifications and grade 3 neuropathy increased 4% and 5%, respectively. Cardiovascular drugs increased the risk of paclitaxel dose reductions (odds ratio [OR], 2.51; p = .006), with a stronger association for beta-adrenergic antagonists. The total number of concomitant medications also showed an association with dose modifications (OR, 1.25; p = .012 for each concomitant drug increase). A dose modification predictive model that included the new identified factors gave an area under the curve of 0.74 (p = 1.07 x 10(-10)). Preexisting nerve compression syndromes seemed to increase neuropathy risk. Conclusion Baseline characteristics of the patients, including age and concomitant medications, could be used to identify individuals at high risk of neuropathy, personalizing chemotherapy treatment and reducing the risk of severe neuropathy. Implications for Practice Peripheral neuropathy is a common adverse effect of many cancer drugs, including chemotherapeutics, targeted therapies, and immune checkpoint inhibitors. About 40% of survivors of cancer have functional deficits caused by this toxicity, some of them irreversible. Currently, there are no effective treatments to prevent or treat this neuropathy. This study, performed in a large cohort of well-characterized patients homogenously treated with paclitaxel, identified concomitant medications, comorbidities, and demographic factors associated with peripheral neuropathy. These factors could serve to identify patients at high risk of severe neuropathy for whom alternative non-neurotoxic alternatives may be considered. Sin financiación 5.025 JCR (2019) Q2, 63/244 Oncology 2.613 SJR (2019) Q1, 26/214 Cancer Research, 30/367 Oncology, 90/2754 Medicine (miscellaneous) No data IDR 2019 UEM

High incidence and prognostic relevance of thromboembolic disease in patients with ALK-rearranged NSCLCs

Antinuclear antibodies (ANAs) are a spectrum of autoantibodies targeted to various nuclear and cytoplasmic components of the cells. They are very useful as serological markers for different autoimmune disease, like systemic lupus erythematosus (SLE), Sjogren's syndrome (SS), scleroderma, polymyositis, or mixed connective tissue disease. In these years, an increasing attention has been focussed in the relationship between tumours and autoimmunity. Different authors have demonstrated that ANAs are presented, not only in autoimmune diseases, also in serum of patients with different types of cancers. These data suggested that ANAs could be involved in the pathogenesis of cancer as well as other premalignant disease. In this review, we are going to describe all data reported about the presence of these antibodies in samples from patients with cancer as well as the potential role of some of these proteins in early detection and prognosis.

Lung adenocarcinoma includes recurrent activating oncogenic mutations (EGFR, EML4-ALK, ROS1) that have been associated with response to EGFR and ALK inhibitors. Platinum-based chemotherapy is the standard therapy for non-oncodrivers population. Sorafenib is a small molecule that blocks the activation of C-RAF, B-RAF, c-KIT, FLT-3, RET, VEGFR-2, VEGFR-3 and PDGFR approved for advanced renal cell and hepatocellular carcinoma (b, c). Many studies have evaluated sorafenib in advanced non-small-cell lung cancer (NSCLC), with different results. We present a case report of a patient with NSCLC and the BRAF G469R mutation who showed a dramatic response to sorafenib.

[Background/Aim] First-line bevacizumab-based therapies have been shown to improve clinical outcomes in patients with non-squamous non-small-cell lung cancer (NSCLC). We aimed to descriptively analyse patients with non-squamous NSCLC who received a long-term period of maintenance bevacizumab., [Patients and methods] This retrospective study included 104 patients who had already reached a progression-free survival (PFS) of at least 9 months., [Results] Median overall survival and PFS were 30.7 and 15.1 months, respectively. The overall response rate was 83 %. Weight loss ≤5 %, ECOG PS = 0, or low number of metastatic sites seem to be predictive factors of good evolution. The incidence of bevacizumab-related adverse events appeared to be similar as the previous studies., [Conclusion] Our findings show that there is a long-term survivor group whom the administration of bevacizumab resulted in a relevant prolongation of response without new safety signals. Due to the population heterogeneity, it was not possible to identify the standardised predictive factors., This work was supported by Roche Farma, S.A., Spain.

Treatment of metastatic colorectal cancer (mCRC) is generally based on genetic testing performed in primary tumor biopsies, but whether the genomic status of primary tumors is identical to that of metastases is not well known. We compared the gene expression profiles of formalin-fixed paraffin-embedded (FFPE) biopsies of colorectal primary tumors and matched liver metastases. We compared the expression of 18 genes in FFPE CRC tumors and their matched liver metastases from 32 patients. The expression of each gene in CRC primary tumors and their matched liver metastases was tested using Student’s t test for paired samples. Pairwise correlations of each gene in the primary tumors and matched liver metastases were evaluated by Pearson’s correlation coefficient. The expression of six genes was significantly different in primary tumors compared with their matched liver metastases [CXCR4 (p

Colorectal liver metastases (CLM) have significant molecular heterogeneity, which contributes to the risk of recurrence following surgery. Most of the traditional scores intended to predict recurrence is based on clinicopathological variables and it is unclear whether incorporating molecular biomarkers might improve our assessment of the risk of recurrence. Our aim was to determine if molecular biomarkers might be associated with the risk of recurrence after surgery of CLM. A total of 121 patients diagnosed with colorectal cancer (CRC) with resected liver metastases were included. The role of several clinicopathological variables to predict patient’s outcome after resection of liver metastases was analyzed. Eighteen genes related to CRC pathogenesis were also included in the analyses. Univariate and multivariate stepwise Cox regression analyses were performed to identify factors associated with recurrence and the risk of death. Eight prognostic factors for progression-free survival and nine factors for overall survival were identified in the univariate analyses. After adjusting for other risk factors, only the expression of two molecular factors was associated with the risk of recurrence: TS (HR 0.631, 95 % CI 0.422–0.944) and SMAD4 (HR 1.680, 95 % CI 1.047–2.695). None of the variables was significantly associated with the risk of death in the multivariate analyses. The prognostic significance of most traditional clinicopathological variables might be insufficient to define patients at risk for recurrence after liver metastases resection. Molecular biomarkers might improve the identification of patients with higher risk of recurrence.