A5001479108- Metabolomics and Mass Spectrometry Studies
- Ferroptosis and cancer prognosis
- Cancer, Hypoxia, and Metabolism
- Advanced Proteomics Techniques and Applications
- Bioinformatics and Genomic Networks
- Cancer Immunotherapy and Biomarkers
- Genetic factors in colorectal cancer
- Cancer, Lipids, and Metabolism
- Cancer Cells and Metastasis
- Bladder and Urothelial Cancer Treatments
- Colorectal and Anal Carcinomas
- Microbial Metabolic Engineering and Bioproduction
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Pancreatic and Hepatic Oncology Research
- Computational Drug Discovery Methods
- Cancer Genomics and Diagnostics
- vaccines and immunoinformatics approaches
- Metabolism, Diabetes, and Cancer
- Breast Cancer Treatment Studies
- Renal cell carcinoma treatment
- Gene expression and cancer classification
- Advanced Biosensing Techniques and Applications
- Diet and metabolism studies
- MicroRNA in disease regulation
- Cancer Research and Treatments
Hospital Universitario La Paz
2016-2024
Biomedica (Czechia)
2018
Centro de Investigación Biomédica en Red de Cáncer
2018
Centro de Investigación Biomédica en Red
2018
Universidad Complutense de Madrid
2018
Previous studies by our group have shown that oxidative phosphorylation (OXPHOS) is the main pathway which pancreatic cancer stem cells (CSCs) meet their energetic requirements; therefore, OXPHOS represents an Achille's heel of these highly tumorigenic cells. Unfortunately, therapies target in CSCs are lacking. The safety and anti-CSC activity a ruthenium complex featuring bipyridine terpyridine ligands one coordination labile position (Ru1) were evaluated across primary cultures vivo, using...
Abstract Triple-negative breast cancer is a heterogeneous disease characterized by lack of hormonal receptors and HER2 overexpression. It the only subgroup that does not benefit from targeted therapies, its prognosis poor. Several studies have developed specific molecular classifications for triple-negative cancer. However, these subtypes had little impact in clinical setting. Gene expression data information 494 tumors were obtained public databases. First, probabilistic graphical model...
Abstract Breast cancer is a heterogeneous disease comprising variety of entities with various genetic backgrounds. Estrogen receptor-positive, human epidermal growth factor receptor 2-negative tumors typically have favorable outcome; however, some patients eventually relapse, which suggests heterogeneity within this category. In the present study, we used proteomics and miRNA profiling techniques to characterize set 102 either estrogen receptor-positive (ER+)/progesterone (PR+) or...
Introduction: Extracellular vesicles (EVs) participate in cell-to-cell paracrine signaling and can be biomarkers of the pathophysiological processes underlying disease. In intracerebral hemorrhage, study number molecular content circulating EVs may help elucidate biological mechanisms involved damage repair, contributing valuable information to identification new therapeutic targets. Methods: The objective this was describe protein blood-derived following an hemorrhage (ICH). For purpose,...
Background Triple-negative breast cancer (TNBC) accounts for 15–20% of all cancers and usually requires the administration adjuvant chemotherapy after surgery but even with this treatment many patients still suffer from a relapse. The main objective study was to identify proteomics-based biomarkers that predict response standard chemotherapy, so at are not going benefit it can be offered therapeutic alternatives. Methods We analyzed proteome retrospective series formalin-fixed,...
Metabolic reprogramming is a hallmark of cancer. It has been described that breast cancer subtypes present metabolism differences and this fact enables the possibility using metabolic inhibitors as targeted drugs in specific scenarios. In study, cell lines were treated with metformin rapamycin, showing heterogeneous response to treatment leading cycle disruption. The genetic causes molecular effects differential characterized by means SNP genotyping mass spectrometry-based proteomics....
Traditionally, bladder cancer has been classified based on histology features. Recently, some works have proposed a molecular classification of invasive tumors. To determine whether proteomics can define subtypes muscle urothelial (MIUC) and allow evaluating the status biological processes its clinical value. 58 MIUC patients who underwent curative surgical resection at our institution between 2006 2012 were included. Proteome was evaluated by high-throughput in routinely archive FFPE tumor...
GATA4 and GATA6 are transcription factors involved in the differentiation development of PDAC. expression is related to classic molecular subtype, while its absence basal-like subtype. The aim was determine clinical utility IHC determination a series patients with resected studied by TMA samples normal tissue, PanIN, tumor tissue lymph node metastases from 89 Its relationship clinicopathologic variables outcome investigated. Seventy-two (81%) tumors were GATA6+ 37 (42%) GATA4+. While reduced...
Targeted proteomics has become the method of choice for biomarker validation in human biopsies due to its high sensitivity, reproducibility, accuracy, and precision. However, targeted be transferred clinical routine there is need reduce complexity, make procedures simpler, increase throughput, improve analytical performance. Here we present Isotopologue Multipoint Calibration (ImCal) quantification strategy, which uses a mix isotopologue peptides generate internal multipoint calibration...
Muscle-invasive bladder tumors are associated with a high risk of relapse and metastasis even after neoadjuvant chemotherapy radical cystectomy. Therefore, further therapeutic options needed molecular characterization the disease may help to identify new targets. The aim this study was characterize muscle-invasive at level using computational analyses. TCGA cohort cancer patients used describe these tumors. Probabilistic graphical models, layer analyses based on sparse k-means coupled...
Abstract Background Metabolomics has a great potential in the development of new biomarkers cancer and it experiment recent technical advances. Methods In this study, metabolomics gene expression data from 67 localized (stage I to IIIB) breast tumor samples were analyzed, using (1) probabilistic graphical models define associations quantitative without other priori information; (2) Flux Balance Analysis flux activities characterize differences metabolic pathways. Results On one hand, both...
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with overall 5-year survival rate of just 5%. A better understanding the carcinogenesis processes and mechanisms progression PDAC mandatory. Fifty-two patients treated surgery adjuvant therapy, available primary tumors, normal tissue, preneoplastic lesions (PanIN), and/or lymph node metastases, were selected for study. Proteins extracted from small punches analyzed by LC-MS/MS using data-independent acquisition. Proteomics data...
Abstract Background Early-stage triple-negative breast cancer (TNBC) is usually treated with neoadjuvant chemotherapy (NADC), but prognosis remains poor compared other BC subtypes. Unfortunately, less than 30% of patients achieve pathological complete response (pCR) to NADC and the overall survival TNBC when spreads estimated at 10-13 months. Complete associated improved progression-free rates, more accurate prognostic markers are needed. In this study, we assessed value blood circulating...
Purpose: To explore the tumor proteome of patients diagnosed with localized clear cell renal cancer (ccRCC) and treated surgery. Material methods: A total 165 FFPE samples from ccRCC were analyzed using DIA-proteomics. Proteomics subtypes defined a consensus cluster algorithm (CCA) characterized by functional approach probabilistic graphical models survival analyses. Results: We identified quantified 3091 proteins, including 2026 high-confidence proteins. Two proteomics (CC1 CC2) CC proteins...
Melanoma is the most lethal cutaneous cancer. New drugs have recently appeared; however, not all patients obtain a benefit of these new drugs. For this reason, it still necessary to characterize melanoma at molecular level. The aim study was explore differences between tumor subtypes, based on BRAF and NRAS mutational status. Fourteen formalin-fixed, paraffin-embedded samples were analyzed using high-throughput proteomics approach, combined with probabilistic graphical models Flux Balance...
Breast cancer (BC) is the most frequent tumour in women. Triple negative tumours (TNBC)-which are associated with minor survival rates-lack markers predictive of response to anticancer drugs. frequently metastasise central nervous system (CNS).The main objective this study was differences protein expression between patients CNS metastases and those without kind spread, propose new biomarkers.A retrospective performed. Targeted proteomics statistical analyses were used identify possible...
Breast cancer is the most frequent tumor in women and its incidence increasing. Neoadjuvant chemotherapy has become standard of care as a complement to surgery locally advanced or poor-prognosis early stage disease. The achievement complete response neoadjuvant correlates with prognosis but it not possible predict who will obtain an excellent response. molecular analysis offers unique opportunity unveil predictive factors. In this work, gene expression profiling 279 samples from patients...
Abstract Colorectal cancer (CRC) is a molecular and clinically heterogeneous disease. In 2015, the Cancer Subtyping Consortium classified CRC into four consensus subtypes (CMS), but these CMS have had little impact on clinical practice. The purpose of this study to deepen characterization CRC. A novel approach, based probabilistic graphical models (PGM) sparse k-means-Consensus Cluster layer analyses was applied in order functionally characterize tumors. First, PGM used CRC, then, cluster...
The GPRO suite is an in-progress bioinformatic project for -omics data analysis. As part of the continued growth this project, we introduce a client- and server-side solution comparative transcriptomics analysis variants. client-side consists two Java applications called “RNASeq” “VariantSeq” to manage pipelines workflows based on most common command line interface tools RNA-seq Variant-seq analysis, respectively. such, are coupled with Linux server infrastructure (named Server-Side) that...
Colorectal cancer (CRC) is a molecular and clinically heterogeneous disease. In 2015, the Cancer Subtyping Consortium classified CRC into four consensus subtypes (CMS), but these CMS have had little impact on clinical practice. The purpose of this study to deepen characterization CRC. A novel approach, based probabilistic graphical models (PGM) sparse k-means-consensus cluster layer analyses, was applied in order functionally characterize tumors. First, PGM used CRC, then explore layers...
Renal cell carcinoma comprises a variety of entities, the most common being clear-cell, papillary and chromophobe subtypes. These subtypes are related to different clinical evolution; however, therapies have been developed for clear-cell there is not specific treatment based on In this study, one hundred sixty-four paraffin samples from primary nephrectomies localized tumors were analyzed. MiRNAs isolated measured by microRNA arrays. Significance Analysis Microarrays Consensus Cluster...