Publications

(For a full list see below)

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White, B. S. et al. Community assessment of methods to deconvolve cellular composition from bulk gene expression. Nat Commun 15, 7362 (2024). Cite
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Yan, F., Jiang, L., Chen, D., Ceccarelli, M. & Guo, Y. Reinventing gene expression connectivity through regulatory and spatial structural empowerment via principal node aggregation graph neural network. Nucleic Acids Research 52, e60–e60 (2024). Cite
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Falco, M. et al. Identification and bioinformatic characterization of a serum miRNA signature for early detection of laryngeal squamous cell carcinoma. J Transl Med 22, 647 (2024). Cite
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Bertucci, F. et al. Mutational landscape of inflammatory breast cancer. J Transl Med 22, 374 (2024). Cite
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Wang, L. et al. Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. PLoS ONE 19, e0299267 (2024). Cite Download
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Costa, M. C. et al. Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions. J Transl Med 22, 281 (2024). Cite Download
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Costa, M. C. et al. Identification of therapeutic targets in osteoarthritis by combining heterogeneous transcriptional datasets, drug-induced expression profiles, and known drug-target interactions. J Transl Med 22, 281 (2024). Cite Download
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Lofiego, M. F. et al. Epigenetic remodeling to improve the efficacy of immunotherapy in human glioblastoma: pre-clinical evidence for development of new immunotherapy approaches. J Transl Med 22, 223 (2024). Cite Download
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Mason, M. et al. A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer. J Transl Med 22, 190 (2024). Cite
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Cossu, A. M. et al. MiR-449a ANTAGONIZES EMT THROUGH IL-6-MEDIATED TRANS- SIGNALING IN LARYNGEAL SQUAMOUS CANCER. Molecular Therapy - Nucleic Acids 102140 (2024) http://doi.org/10.1016/j.omtn.2024.102140. Cite
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Petralia, F. et al. Pan-cancer proteogenomics characterization of tumor immunity. Cell S0092867424000643 (2024) http://doi.org/10.1016/j.cell.2024.01.027. Cite Download
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Feng, S. et al. Decomprolute is a benchmarking platform designed for multiomics-based tumor deconvolution. Cell Reports Methods 4, 100708 (2024). Cite
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Ramsoomair, C. K., Ceccarelli, M., Heiss, J. D. & Shah, A. H. The epitranscriptome of high-grade gliomas: a promising therapeutic target with implications from the tumor microenvironment to endogenous retroviruses. J Transl Med 21, 893 (2023). Cite
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Hu, L. S. et al. Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures. Nat Commun 14, 6066 (2023). Cite Download
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Hu, L. S. et al. Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures. Nat Commun 14, 6066 (2023). Cite
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Noviello, T. M. R. et al. Guadecitabine plus ipilimumab in unresectable melanoma: five-year follow-up and integrated multi-omic analysis in the phase 1b NIBIT-M4 trial. Nat Commun 14, 5914 (2023). Cite Download
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Mogenet, A. et al. Immunologic constant of rejection as a predictive biomarker of immune checkpoint inhibitors efficacy in non-small cell lung cancer. J Transl Med 21, 637 (2023). Cite Download
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Jethalia, M., Jani, S. P., Ceccarelli, M. & Mall, R. Pancancer network analysis reveals key master regulators for cancer invasiveness. J Transl Med 21, 558 (2023). Cite Download
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Ferraro, L., Scala, G., Cerulo, L., Carosati, E. & Ceccarelli, M. MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model. Bioinformatics 39, btad432 (2023). Cite Download
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Besharat, Z. M. et al. Circulating miR-26b-5p and miR-451a as diagnostic biomarkers in medullary thyroid carcinoma patients. J Endocrinol Invest (2023) http://doi.org/10.1007/s40618-023-02115-2. Cite
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De Falco, A., Caruso, F., Su, X.-D., Iavarone, A. & Ceccarelli, M. A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data. Nature Communications 14, 1074 (2023). Cite Download
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Rosaria Noviello, T. M. et al. Guadecitabine plus Ipilimumab in Unresectable Melanoma: Five-Year Follow-up and Correlation with Integrated, Multiomic Analysis in the NIBIT-M4 Trial. http://medrxiv.org/lookup/doi/10.1101/2023.02.09.23285227 (2023) doi:10.1101/2023.02.09.23285227. Cite Download
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Migliozzi, S. et al. Integrative multi-omics networks identify PKCδ and DNA-PK as master kinases of glioblastoma subtypes and guide targeted cancer therapy. Nat Cancer (2023) http://doi.org/10.1038/s43018-022-00510-x. Cite Download
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Simeone, I. & Ceccarelli, M. Pan-cancer onco-signatures reveal a novel mitochondrial subtype of luminal breast cancer with specific regulators. J Transl Med 21, 55 (2023). Cite Download
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McLaughlin, R. T. et al. Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning. npj Precis. Onc. 7, 4 (2023). Cite Download
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Feng, S. et al. Decomprolute: A Benchmarking Platform Designed for Multiomics-Based Tumor Deconvolution. http://biorxiv.org/lookup/doi/10.1101/2023.01.05.522902 (2023) doi:10.1101/2023.01.05.522902. Cite Download
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Wang, J. M. et al. Deep learning integrates histopathology and proteogenomics at a pan-cancer level. Cell Reports Medicine 101173 (2023) http://doi.org/10.1016/j.xcrm.2023.101173. Cite Download
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Liang, W.-W. et al. Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin. Cancer Cell S1535610823002532 (2023) http://doi.org/10.1016/j.ccell.2023.07.013. Cite
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Li, Y. et al. Proteogenomic data and resources for pan-cancer analysis. Cancer Cell 41, 1397–1406 (2023). Cite Download
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Li, Y. et al. Pan-cancer proteogenomics connects oncogenic drivers to functional states. Cell 186, 3921-3944.e25 (2023). Cite Download
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Geffen, Y. et al. Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation. Cell 186, 3945-3967.e26 (2023). Cite Download
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Roelands, J. et al. An integrated tumor, immune and microbiome atlas of colon cancer. Nat Med 29, 1273–1286 (2023). Cite Download
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Di Giacomo, A. M. et al. Immunotherapy for brain metastases and primary brain tumors. European Journal of Cancer 179, 113–120 (2023). Cite
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Mason, M. et al. A Community Challenge to Predict Clinical Outcomes After Immune Checkpoint Blockade in Non-Small Cell Lung Cancer. http://biorxiv.org/lookup/doi/10.1101/2022.12.05.518667 (2022) doi:10.1101/2022.12.05.518667. Cite Download
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Anichini, A. et al. Landscape of immune-related signatures induced by targeting of different epigenetic regulators in melanoma: implications for immunotherapy. Journal of Experimental & Clinical Cancer Research 41, 325 (2022). Cite
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Sabato, C. et al. A novel microRNA signature for the detection of melanoma by liquid biopsy. J Transl Med 20, 469 (2022). Cite Download
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White, B. S. et al. Community Assessment of Methods to Deconvolve Cellular Composition from Bulk Gene Expression. http://biorxiv.org/lookup/doi/10.1101/2022.06.03.494221 (2022) doi:10.1101/2022.06.03.494221. Cite Download
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Federico, A. et al. Integrated Network Pharmacology Approach for Drug Combination Discovery: A Multi-Cancer Case Study. Cancers 14, 2043 (2022). Cite Download
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Anichini, A. et al. Landscape of Immune-Related Signatures Induced by Targeting of Different Epigenetic Regulators in Melanoma: Implications for Immunotherapy. http://biorxiv.org/lookup/doi/10.1101/2022.04.13.488140 (2022) doi:10.1101/2022.04.13.488140. Cite Download
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Chan, S. et al. An anti-PD-1–GITR-L bispecific agonist induces GITR clustering-mediated T cell activation for cancer immunotherapy. Nat Cancer (2022) http://doi.org/10.1038/s43018-022-00334-9. Cite Download
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Simeone, I. et al. Prediction and pan-cancer analysis of mammalian transcripts involved in target directed miRNA degradation. Nucleic Acids Research 50, 2019–2035 (2022). Cite Download
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Sayaman, R. W. et al. Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors. STAR Protocols 3, 101809 (2022). Cite
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D’Agostino, Y. et al. Loss of circadian rhythmicity in bdnf knock-out zebrafish larvae. iScience 104054 (2022) http://doi.org/10.1016/j.isci.2022.104054. Cite Download
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Saad, M. et al. Genetic predisposition to cancer across people of different ancestries in Qatar: a population-based, cohort study. The Lancet Oncology S147020452100752X (2022) http://doi.org/10.1016/S1470-2045(21)00752-X. Cite
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Bertucci, F. et al. Immunologic constant of rejection signature is prognostic in soft-tissue sarcoma and refines the CINSARC signature. J Immunother Cancer 10, e003687 (2022). Cite Download
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McLaughlin, R. T. et al. Attentive Deep Learning-Based Tumor-Only Somatic Mutation Classifier Achieves High Accuracy Agnostic of Tissue Type and Capture Kit. http://biorxiv.org/lookup/doi/10.1101/2021.12.07.471513 (2021) doi:10.1101/2021.12.07.471513. Cite Download
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De Falco, A., Caruso, F. P., Su, X. D., Iavarone, A. & Ceccarelli, M. A Fast Variational Algorithm to Detect the Clonal Copy Number Substructure of Tumors from Single-Cell Data. http://biorxiv.org/lookup/doi/10.1101/2021.11.20.469390 (2021) doi:10.1101/2021.11.20.469390. Cite Download
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Petralia, F. et al. BayesDeBulk: A Flexible Bayesian Algorithm for the Deconvolution of Bulk Tumor Data. http://biorxiv.org/lookup/doi/10.1101/2021.06.25.449763 (2021) doi:10.1101/2021.06.25.449763. Cite Download
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Mall, R. et al. Network-based identification of key master regulators associated with an immune-silent cancer phenotype. Briefings in Bioinformatics bbab168 (2021) http://doi.org/10.1093/bib/bbab168. Cite Download
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Paladino, A., D’Angelo, F., Noviello, T. M. R., Iavarone, A. & Ceccarelli, M. Structural Model for Recruitment of RIT1 to the LZTR1 E3 Ligase: Evidences from an Integrated Computational Approach. J. Chem. Inf. Model. acs.jcim.1c00296 (2021) http://doi.org/10.1021/acs.jcim.1c00296. Cite Download