Publications

(For a full list see below)

1.
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
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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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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
1.
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
1.
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
1.
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
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Caruso, F. P., Scala, G., Cerulo, L. & Ceccarelli, M. A review of COVID-19 biomarkers and drug targets: resources and tools. Briefings in Bioinformatics 22, 701–713 (2021). Cite Download
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Petrillo, F. et al. Dysregulation of Principal Cell miRNAs Facilitates Epigenetic Regulation of AQP2 and Results in Nephrogenic Diabetes Insipidus. J Am Soc Nephrol (2021) http://doi.org/10.1681/ASN.2020010031. Cite
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Di Munno, C. et al. Adaptive Thermogenesis Driving Catch-Up Fat Is Associated With Increased Muscle Type 3 and Decreased Hepatic Type 1 Iodothyronine Deiodinase Activities: A Functional and Proteomic Study. Front. Endocrinol. 12, 631176 (2021). Cite
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De Marco, C. et al. Genome-wide analysis of copy number alterations led to the characterisation of PDCD10 as oncogene in ovarian cancer. Translational Oncology 14, 101013 (2021). Cite Download
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Turan, T. et al. A balance score between immune stimulatory and suppressive microenvironments identifies mediators of tumour immunity and predicts pan-cancer survival. Br J Cancer 124, 760–769 (2021). Cite Download
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Sayaman, R. W. et al. Germline genetic contribution to the immune landscape of cancer. Immunity 54, 367-386.e8 (2021). Cite Download
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Litchfield, K. et al. Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition. Cell 184, 596-614.e14 (2021). Cite
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Garofano, L. et al. Pathway-based classification of glioblastoma uncovers a mitochondrial subtype with therapeutic vulnerabilities. Nat Cancer (2021) http://doi.org/10.1038/s43018-020-00159-4. Cite Download
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Maio, M. et al. A vision of immuno-oncology: the Siena think tank of the Italian network for tumor biotherapy (NIBIT) foundation. J Exp Clin Cancer Res 40, 240 (2021). Cite Download
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Wang, L.-B. et al. Proteogenomic and metabolomic characterization of human glioblastoma. Cancer Cell (2021) http://doi.org/10.1016/j.ccell.2021.01.006. Cite Download
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Remo, A. et al. Wnt (canonical and non canonical) pathways in Breast carcinoma with extensive vascular invasion and Inflammatory Breast Carcinoma. Pathology-Research and Practice 153347 (2021). Cite Download
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Pagano, M. et al. Mi-RNA-888-5p Is Involved in S-Adenosylmethionine Antitumor Effects in Laryngeal Squamous Cancer Cells. Cancers 12, 3665 (2020). Cite Download
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Blomquist, M. R. et al. Temporospatial genomic profiling in glioblastoma identifies commonly altered core pathways underlying tumor progression. Neurooncol Adv 2, vdaa078 (2020). Cite Download
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Noviello, T. M. R., Ceccarelli, F., Ceccarelli, M. & Cerulo, L. Deep learning predicts short non-coding RNA functions from only raw sequence data. PLoS Comput Biol 16, e1008415 (2020). Cite Download
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de Falco, A. et al. Adaptive One-Class gaussian processes allow accurate prioritization of oncology drug targets. Bioinformatics btaa968 (2020) http://doi.org/10.1093/bioinformatics/btaa968. Cite Download
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Caruso, F. P., Scala, Giovanni, Cerulo, L. & Ceccarelli, M. A review of COVID-19 biomarkers and drug targets: resources and tools. Briefings in Bioinformatics (2020) http://doi.org/10.1093/bib/bbaa328. Cite Download
1.
Caruso, F. P. et al. A map of tumor–host interactions in glioma at single-cell resolution. GigaScience 9, giaa109 (2020). Cite Download
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Noviello, T. M. R., Ceccarelli, M. & Cerulo, L. Deep learning predicts non-coding RNA functions from only raw sequence data. http://biorxiv.org/lookup/doi/10.1101/2020.05.27.118778 (2020) doi:10.1101/2020.05.27.118778. Cite Download
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Roelands, J. et al. Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response. J Immunother Cancer 8, (2020). Cite Download
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Sayaman, R. W. et al. Germline genetic contribution to the immune landscape of cancer. http://biorxiv.org/lookup/doi/10.1101/2020.01.30.926527 (2020) doi:10.1101/2020.01.30.926527. Cite Download
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Tagliaferri, D. et al. Retinoic Acid Induces Embryonic Stem Cells (ESCs) Transition to 2 Cell-Like State Through a Coordinated Expression of Dux and Duxbl1. Front. Cell Dev. Biol. 7, 385 (2020). Cite Download
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Alexander, J. et al. Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma. Glia 68, 2486–2502 (2020). Cite Download
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Sa, J. K. et al. Transcriptional regulatory networks of tumor-associated macrophages that drive malignancy in mesenchymal glioblastoma. Genome Biol 21, 216 (2020). Cite Download
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Dezső, Z. & Ceccarelli, M. Machine learning prediction of oncology drug targets based on protein and network properties. BMC Bioinformatics 21, 104 (2020). Cite Download
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Mauriello, A. et al. High Somatic Mutation and Neoantigen Burden Do Not Correlate with Decreased Progression-Free Survival in HCC Patients not Undergoing Immunotherapy. Cancers (Basel) 11, (2019). Cite Download
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Caruso, F. P. et al. A MAP of tumor-host interactions in glioma at single cell resolution. http://biorxiv.org/lookup/doi/10.1101/827758 (2019) doi:10.1101/827758. Cite Download