Author

L. Mateo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

J. Arribas· 2 shared M. Duran-Frigola· 2 shared P. Aloy· 2 shared A. Califano· 1 shared A. Fernandez-Torras· 1 shared A. Gris-Oliver· 1 shared A. Pessia· 1 shared B. Szalai· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

J. Arribas

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

The efficacy of chemotherapy is limited by intratumoural senescent cells that persist through the upregulation of PD-L2

S. Chaib, J. A. Lopez-Dominguez, M. Lalinde, N. Prats, I. Marin, K. Meyer, M. I. Munoz, M. Aguilera, L. Mateo, C. S.-O. Attolini, S. Llanos, M. Escorihuela, S. Perez-Ramos, F. Al-Shahrour, T. P. Cash, , M. Serrano

This study identifies PD-L2 as a marker of therapy-induced senescent cells that suppress chemotherapy efficacy, showing PD-L2 blockade enhances tumour remission in mice.

bioRxiv · Nov 4, 2022 · PreprintCancer Biology

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

E. F. Douglass, R. J. Allaway, B. Szalai, W. Wang, T. Tian, A. Fernandez-Torras, R. Realubit, C. Karan, S. Zheng, A. Pessia, Z. Tanoli, M. Jafari, F. Wan, S. Li, Y. Xiong, , A. Califano

The paper hosts a DREAM Challenge to evaluate computational models for predicting drug polypharmacology using perturbational profile data from 32 kinase inhibitors.

bioRxiv · Dec 21, 2020Cancer Biology

Personalized Cancer Therapy Prioritization Based on Driver Alteration Co-occurrence Patterns

L. Mateo, M. Duran-Frigola, A. Gris-Oliver, M. Palafox, M. Scaltriti, P. Razavi, S. Chandarlapaty, J. Arribas, M. Bellet, V. Serra, P. Aloy

The paper identifies actionable genomic vulnerabilities in cancer by analyzing driver alteration co-occurrence patterns and validates predictions in mice, improving drug response modeling from patient data.

bioRxiv · Sep 18, 2020Cancer Biology

Genome-wide patterns of local adaptation in Drosophila melanogaster: adding intra European variability to the map

L. Mateo, G. Rech, J. Gonzalez

This study identifies loci under spatially varying selection in European Drosophila melanogaster populations by analyzing genome sequences and transposable elements.

bioRxiv · Mar 28, 2018Evolutionary Biology