David Tamborero

ORCID: 0000-0002-7218-2806
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Cardiac Arrhythmias and Treatments
  • Cardiac pacing and defibrillation studies
  • Atrial Fibrillation Management and Outcomes
  • Cancer Immunotherapy and Biomarkers
  • Bioinformatics and Genomic Networks
  • Genomics and Rare Diseases
  • Protein Degradation and Inhibitors
  • Cardiac electrophysiology and arrhythmias
  • Multiple Myeloma Research and Treatments
  • Genomics and Phylogenetic Studies
  • RNA modifications and cancer
  • Immune cells in cancer
  • Biomedical Text Mining and Ontologies
  • Genetics, Bioinformatics, and Biomedical Research
  • Acute Myeloid Leukemia Research
  • Genetic factors in colorectal cancer
  • Epigenetics and DNA Methylation
  • Genomics and Chromatin Dynamics
  • Gene expression and cancer classification
  • Neurological disorders and treatments
  • Lung Cancer Treatments and Mutations
  • Chronic Lymphocytic Leukemia Research
  • Cancer therapeutics and mechanisms
  • Monoclonal and Polyclonal Antibodies Research

Science for Life Laboratory
2020-2024

Karolinska Institutet
2019-2024

Karolinska University Hospital
2024

Institute for Research in Biomedicine
2017-2023

Universitat Pompeu Fabra
2013-2023

Hospital del Mar Research Institute
2016-2020

Heidelberg University
2020

Institució Catalana de Recerca i Estudis Avançats
2013-2020

Municipal Institute for Medical Research
2016-2018

Hospital Del Mar
2016

Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify now exist, but systematic attempts combine and optimize them on large datasets are few. We report a PanCancer PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) using 26 computational tools catalog driver genes mutations. 299 with implications regarding their anatomical sites cancer/cell types. Sequence- structure-based...

10.1016/j.cell.2018.02.060 article EN cc-by-nc-nd Cell 2018-04-01

Systematic studies of cancer genomes have provided unprecedented insights into the molecular nature cancer. Using this information to guide development and application therapies in clinic is challenging. Here, we report how cancer-driven alterations identified 11,289 tumors from 29 tissues (integrating somatic mutations, copy number alterations, DNA methylation, gene expression) can be mapped onto 1,001 molecularly annotated human cell lines correlated with sensitivity 265 drugs. We find...

10.1016/j.cell.2016.06.017 article EN cc-by Cell 2016-07-01

IntOGen-mutations is a discovery tool for cancer researchers to find driver mutations in genes and pathways. The platform ( http://www.intogen.org/mutations/ ) summarizes somatic mutations, pathways involved tumorigenesis. It identifies visualizes drivers, analyzing 4,623 exomes from 13 sites. provides support researchers, aids the identification of drivers across tumor cohorts helps rank better clinical decision-making.

10.1038/nmeth.2642 article EN cc-by-nc-sa Nature Methods 2013-09-15
Esther Rheinbay Morten Muhlig Nielsen Federico Abascal Jeremiah A. Wala Ofer Shapira and 95 more Grace Tiao Henrik Hornshøj Julian M. Hess Randi Istrup Juul Ziao Lin Lars Feuerbach Radhakrishnan Sabarinathan Tobias Madsen Jaegil Kim Loris Mularoni Shimin Shuai Andrés Lanzós Carl Herrmann Yosef E. Maruvka Ciyue Shen Samirkumar B. Amin Pratiti Bandopadhayay Johanna Bertl Keith A. Boroevich John Busanovich Joana Carlevaro-Fita Dimple Chakravarty Calvin Wing Yiu Chan David Craft Priyanka Dhingra Klev Diamanti Nuno A. Fonseca Abel González-Pérez Qianyun Guo Mark P. Hamilton Nicholas J. Haradhvala Hong Chen Keren Isaev Todd A. Johnson Malene Juul André Kahles Abdullah Kahraman Young-Wook Kim Jan Komorowski Kiran Kumar Sushant Kumar Donghoon Lee Kjong-Van Lehmann Yilong Li Eric Minwei Liu Lucas Lochovsky Keunchil Park Oriol Pich Nicola D. Roberts Gordon Saksena Steven E. Schumacher Nikos Sidiropoulos Lina Sieverling Nasa Sinnott-Armstrong Chip Stewart David Tamborero José M. C. Tubío Husen M. Umer Liis Uusküla-Reimand Claes Wadelius Lina Wadi Xiaotong Yao Cheng‐Zhong Zhang Jing Zhang James E. Haber Asger Hobolth Marcin Imieliński Manolis Kellis Michael S. Lawrence Christian von Mering Hidewaki Nakagawa Benjamin J. Raphael Mark A. Rubin Chris Sander Lincoln D. Stein Joshua M. Stuart Tatsuhiko Tsunoda David A. Wheeler Rory Johnson Jüri Reimand Mark Gerstein Ekta Khurana Peter J. Campbell Núria López-Bigas Federico Abascal Samirkumar B. Amin Gary D. Bader Pratiti Bandopadhayay Jonathan Barenboim Rameen Beroukhim Johanna Bertl Keith A. Boroevich Søren Brunak Peter J. Campbell Joana Carlevaro-Fita

The discovery of drivers cancer has traditionally focused on protein-coding genes

10.1038/s41586-020-1965-x article EN cc-by Nature 2020-02-05

With the ability to fully sequence tumor genomes/exomes, quest for cancer driver genes can now be undertaken in an unbiased manner. However, obtaining a complete catalog of is difficult due heterogeneous molecular nature disease and limitations available computational methods. Here we show that combination complementary methods allows identifying comprehensive reliable list genes. We provide 291 high-confidence acting on 3,205 tumors from 12 different types. Among those genes, some have not...

10.1038/srep02650 article EN cc-by-nc-sa Scientific Reports 2013-10-02

While tumor genome sequencing has become widely available in clinical and research settings, the interpretation of somatic variants remains an important bottleneck. Here we present Cancer Genome Interpreter, a versatile platform that automates newly sequenced cancer genomes, annotating potential alterations detected tumors to act as drivers their possible effect on treatment response. The results are organized different levels evidence according current knowledge, which envision can support...

10.1186/s13073-018-0531-8 article EN cc-by Genome Medicine 2018-03-28

Gain-of-function mutations often cluster in specific protein regions, a signal that those provide an adaptive advantage to cancer cells and consequently are positively selected during clonal evolution of tumours. We sought determine the overall extent this feature possibility use identify drivers.We have developed OncodriveCLUST, method genes with significant bias towards mutation clustering within sequence. This constructs background model by assessing coding-silent mutations, which assumed...

10.1093/bioinformatics/btt395 article EN Bioinformatics 2013-07-25

The success rate of circumferential pulmonary vein ablation (CPVA) to treat atrial fibrillation (AF) ranges from 60 90%, depending on the series. objective study was identify predictors AF recurrence after a standardized CPVA procedure. A series 148 consecutive patients undergoing for symptomatic paroxysmal (60.8%), persistent (23.6%), or permanent (15.5%) refractory antiarrhythmic drugs were included in study. with creation supplementary block lines along posterior wall and mitral isthmus...

10.1093/eurheartj/ehm027 article EN European Heart Journal 2007-03-23

Abstract Purpose: Throughout their development, tumors are challenged by the immune system, and they acquire features to evade its surveillance. A systematic view of these traits, which shed light on how respond immunotherapies, is still lacking. Experimental Design: Here, we computed relative abundance an array cell populations measure infiltration pattern 9,174 29 solid cancers. We then clustered with similar define immunophenotypes. Finally, identified genomic transcriptomic traits...

10.1158/1078-0432.ccr-17-3509 article EN Clinical Cancer Research 2018-04-17

There is a growing need for systems that efficiently support the work of medical teams at precision-oncology point care. Here, we present implementation Molecular Tumor Board Portal (MTBP), an academic clinical decision system developed under umbrella Cancer Core Europe creates unified legal, scientific and technological platform to share harness next-generation sequencing data. Automating interpretation reporting results decrease time-consuming manual procedures are prone errors. The...

10.1038/s43018-022-00332-x article EN cc-by Nature Cancer 2022-02-24

AimsThe aetiology of atrial fibrillation (AF) remains unknown in some patients. The aim the study was to identify new risk factors for developing lone AF (LAF).

10.1093/europace/eum263 article EN EP Europace 2008-01-01

Chronic lymphocytic leukemia (CLL) has heterogeneous clinical and biological behavior. Whole-genome -exome sequencing contributed to the characterization of mutational spectrum disease, but underlying transcriptional profile is still poorly understood. We have performed deep RNA in different subpopulations normal B-lymphocytes CLL cells from a cohort 98 patients, characterized landscape with unprecedented resolution. detected thousands elements differentially expressed between B cells,...

10.1101/gr.152132.112 article EN cc-by-nc Genome Research 2013-11-21

Genome studies of diffuse large B-cell lymphoma (DLBCL) have revealed a number somatic mutations and structural alterations. However, the clinical significance these alterations is still not well defined. In this study, we integrated analysis targeted next-generation sequencing 106 genes genomic copy (CNA) in 150 DLBCL. The clinically significant findings were validated an independent cohort 111 patients. Germinal center activated DLBCL had differential profile mutations, altered pathogenic...

10.1038/leu.2017.251 article EN cc-by-nc-nd Leukemia 2017-08-14

AimsAtrial fibrillation (AF) ablation efficacy varies according to patients' clinical characteristics. Although the association of obstructive sleep apnoea (OSA) and AF is well established, data on in OSA are scarce. The aim this study was clarify effect outcome ablation.

10.1093/europace/euq128 article EN EP Europace 2010-05-20

Background— Ablation of the pulmonary veins (PVs) for atrial fibrillation treatment is often combined with linear radiofrequency lesions along left atrium (LA) to improve success rate. The study was designed assess contribution LA posterior wall isolation outcome circumferential vein ablation (CPVA). Methods and Results— CPVA consisted continuous encircling both ipsilateral PVs plus an line mitral isthmus. Patients were then randomized into 2 groups. In first group, superior connected by...

10.1161/circep.108.797944 article EN Circulation Arrhythmia and Electrophysiology 2008-12-04

We investigated the value of tumor-infiltrating NK (TI-NK) cells and HLA class I tumor expression as biomarkers response to neoadjuvant anti-HER2 antibody-based treatment in breast cancer.TI-NK HLA-I were determined by IHC pretreatment biopsies from two cohorts patients with HER2-positive cancer [discovery cohort (n = 42) validation 71)]. Tumor-infiltrating lymphocytes (TIL) scored according international guidelines. Biomarker association pathologic complete (pCR) disease-free survival (DFS)...

10.1158/1078-0432.ccr-18-2365 article EN Clinical Cancer Research 2019-01-23
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