Publications

This work provides a comprehensive CpG methylation landscape of the different layers of the human eye that unveils the gene networks associated with their biological functions and how these are disrupted in common visual disorders. Herein, we firstly determined the role of CpG methylation in the regulation of ocular tissue-specification and described hypermethylation of retinal transcription factors (i.e., PAX6, RAX, SIX6) in a tissue-dependent manner. Second, we have characterized the DNA methylome of visual disorders linked to internal and external environmental factors. Main conclusions allow certifying that crucial pathways related to Wnt-MAPK signaling pathways or neuroinflammation are epigenetically controlled in the fibrotic disorders involved in retinal detachment, but results also reinforced the contribution of neurovascularization (ETS1, HES5, PRDM16) in diabetic retinopathy. Finally, we had studied the methylome in the most frequent intraocular tumors in adults and children (uveal melanoma and retinoblastoma, respectively). We observed that hypermethylation of tumor suppressor genes is a frequent event in ocular tumors, but also unmethylation is associated with tumorogenesis. Interestingly, unmethylation of the proto-oncogen RAB31 was a predictor of metastasis risk in uveal melanoma. Loss of methylation of the oncogenic mir-17-92 cluster was detected in primary tissues but also in blood from patients.

The development of resistance to tyrosine kinase inhibitors (TKI) limits the long-term efficacy of cancer treatments involving them. We aimed to understand the mechanisms that underlie acquired resistance (AR) to MET inhibitors in lung cancer. EBC1 cells, which have MET amplification and are sensitive to TKIs against MET, were used to generate multiple clones with AR to a MET-TKI. Whole-exome sequencing, RNA sequencing, and global DNA methylation analysis were used to scrutinize the genetic and molecular characteristics of the resistant cells. AR to the MET-TKI involved changes common to all resistant cells, that is, phenotypic modifications, specific changes in gene expression, and reactivation of AKT, ERK, and mTOR. The gene expression, global DNA methylation, and mutational profiles distinguished at least two groups of resistant cells. In one of these, the cells have acquired sensitivity to erlotinib, concomitantly with mutations of the KIRREL, HDAC11, HIATL1, and MAPK1IP1L genes, among others. In the other group, some cells have acquired inactivation of neurofibromatosis type 2 (NF2) concomitantly with strong overexpression of NRG1 and a mutational profile that includes changes in LMLN and TOMM34 Multiple independent and simultaneous strategies lead to AR to the MET-TKIs in lung cancer cells. The acquired sensitivity to erlotinib supports the known crosstalk between MET and the HER family of receptors. For the first time, we show inactivation of NF2 during acquisition of resistance to MET-TKI that may explain the refractoriness to erlotinib in these cells. Mol Cancer Ther; 16(7); 1366-76. ©2017 AACR.

<div>Abstract<p><b>Purpose:</b> Lung cancer remains as the leading cause of cancer-related death worldwide, mainly due to late diagnosis. Cytology is the gold-standard method for lung cancer diagnosis in minimally invasive respiratory samples, despite its low sensitivity. We aimed to identify epigenetic biomarkers with clinical utility for cancer diagnosis in minimally/noninvasive specimens to improve accuracy of current technologies.</p><p><b>Experimental Design:</b> The identification of novel epigenetic biomarkers in stage I lung tumors was accomplished using an integrative genome-wide restrictive analysis of two different large public databases. DNA methylation levels for the selected biomarkers were validated by pyrosequencing in paraffin-embedded tissues and minimally invasive and noninvasive respiratory samples in independent cohorts.</p><p><b>Results:</b> We identified nine cancer-specific hypermethylated genes in early-stage lung primary tumors. Four of these genes presented consistent CpG island hypermethylation compared with nonmalignant lung and were associated with transcriptional silencing. A diagnostic signature was built using multivariate logistic regression model based on the combination of four genes: <i>BCAT1, CDO1, TRIM58</i>, and <i>ZNF177</i>. Clinical diagnostic value was also validated in multiple independent cohorts and yielded a remarkable diagnostic accuracy in all cohorts tested. Calibrated and cross-validated epigenetic model predicts with high accuracy the probability to detect cancer in minimally and noninvasive samples. We demonstrated that this epigenetic signature achieved higher diagnostic efficacy in bronchial fluids as compared with conventional cytology for lung cancer diagnosis.</p><p><b>Conclusions:</b> Minimally invasive epigenetic biomarkers have emerged as promising tools for cancer diagnosis. The herein obtained epigenetic model in combination with current diagnostic protocols may improve early diagnosis and outcome of lung cancer patients. <i>Clin Cancer Res; 22(13); 3361–71. ©2016 AACR</i>.</p></div>

<p>Correlations between expression and DNA methylation for 17,144 transcripts.</p>

The clinical utility of serum alpha-fetoprotein (AFP) in patients with hepatocellular carcinoma (HCC) is widely recognised. However, a clear understanding of the mechanisms of AFP overexpression and the molecular traits of patients with AFP-high tumours are not known. We assessed transcriptome data, whole-exome sequencing data and DNA methylome profiling of 520 HCC patients from two independent cohorts to identify distinct molecular traits of patients with AFP-high tumours (serum concentration > 400 ng/ml), which represents an accepted prognostic cut-off and a predictor of response to ramucirumab. Those AFP-high tumours (18% of resected cases) were characterised by significantly lower AFP promoter methylation (p < 0.001), significant enrichment of progenitor-cell features (CK19, EPCAM), higher incidence of BAP1 oncogene mutations (8.5% vs 1.6%) and lower mutational rates of CTNNB1 (14% vs 30%). Specifically, AFP-high tumours displayed significant activation of VEGF signalling (p < 0.001), which might provide the rationale for the reported benefit of ramucirumab in this subgroup of patients.

&lt;p&gt;Effect of AZA treatment on wild-type cell populations in responder patients&lt;/p&gt;

Supplementary Tables from NID2 and HOXA9 Promoter Hypermethylation as Biomarkers for Prevention and Early Detection in Oral Cavity Squamous Cell Carcinoma Tissues and Saliva

Poster presentado al 22nd IUBMB & 37th FEBS Congress: From Single Molecules to Systems Biology, celebrado en Sevilla (Espana) del 4 al 9 de septiembre de 2012

&lt;p&gt;Immunoblotting for total and p-ERBB4, p-AKT and p-ERK in parental (left) and resistant (right) Karpas1718 cells (A-B), and TMD8 cells (C). All blots are representative of two independent experiments. Karpas1718 or TMD8 cells were stimulated with PBS or HBEGF (30ng/mL) for 4 hours, washed-up and treated with DMSO (0.1%), idelalisib (1µM), lapatinib (1µM) or the combination. Levels of phospho proteins were normalized to vinculin and total protein. Data on the barplots represent the mean of two experiments, errors bars represent standard deviation of the mean. * for p&lt;0.05, ** for p&lt;0.01 and ns for not significant from a t-test.&lt;/p&gt;

&lt;p&gt;PDF file - 270K, In Figure S3 we demonstrate how the sensitivity of GCT27 cells to CDDP is lineally proportional to activated AKT expression levels.&lt;/p&gt;

Prostate and breast cancer constitute the most common cancers among men and women worldwide. The aging population is one of the main risk factors for prostate and breast cancer development and accumulating studies link aging with epigenetic changes. Growth factor independence-1 (Gfi1) is a transcriptional repressor with an important role in human malignancies, including leukemia, colorectal carcinoma, and lung cancer, but its role in prostate and breast cancer is unknown. We have found that Gfi1 epigenetic silencing is a common event in prostate and breast cancer. Gfi1 re-expression in prostate and breast cancer cell lines displaying Gfi1 epigenetic silencing decreases cell proliferation, reduced colony formation density, and tumor growth in nude mice xenografts. In addition, we found that Gfi1 repress alpha 1-anti-trypsin (AAT) and alpha 1-anti-chymotrypsin (ACT) expression, two genes with important functions in cancer development, suggesting that Gfi1 silencing promotes tumor growth by increasing AAT and ACT expression in our system. Finally, Gfi1 epigenetic silencing could be a promising biomarker for prostate cancer progression because it is associated with shorter disease-free survival. In conclusion, our findings strongly indicate that Gfi1 epigenetic silencing in prostate and breast cancer could be a crucial step in the development of these two-well characterized endocrine related tumors.

Supplementary Table 1 from Genetic Unmasking of an Epigenetically Silenced microRNA in Human Cancer Cells

Non-small-cell lung cancer (NSCLC) is a tumor in which only small improvements in clinical outcome have been achieved. The issue is critical for stage I patients for whom there are no available biomarkers that indicate which high-risk patients should receive adjuvant chemotherapy. We aimed to find DNA methylation markers that could be helpful in this regard.A DNA methylation microarray that analyzes 450,000 CpG sites was used to study tumoral DNA obtained from 444 patients with NSCLC that included 237 stage I tumors. The prognostic DNA methylation markers were validated by a single-methylation pyrosequencing assay in an independent cohort of 143 patients with stage I NSCLC.Unsupervised clustering of the 10,000 most variable DNA methylation sites in the discovery cohort identified patients with high-risk stage I NSCLC who had shorter relapse-free survival (RFS; hazard ratio [HR], 2.35; 95% CI, 1.29 to 4.28; P = .004). The study in the validation cohort of the significant methylated sites from the discovery cohort found that hypermethylation of five genes was significantly associated with shorter RFS in stage I NSCLC: HIST1H4F, PCDHGB6, NPBWR1, ALX1, and HOXA9. A signature based on the number of hypermethylated events distinguished patients with high- and low-risk stage I NSCLC (HR, 3.24; 95% CI, 1.61 to 6.54; P = .001).The DNA methylation signature of NSCLC affects the outcome of stage I patients, and it can be practically determined by user-friendly polymerase chain reaction assays. The analysis of the best DNA methylation biomarkers improved prognostic accuracy beyond standard staging.