Valeria Bica

ORCID: 0000-0003-3366-5562
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Research Areas
  • Acute Myeloid Leukemia Research
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Protein Degradation and Inhibitors
  • Genomics and Chromatin Dynamics
  • Chronic Myeloid Leukemia Treatments
  • Cancer Genomics and Diagnostics
  • Chronic Lymphocytic Leukemia Research
  • Histone Deacetylase Inhibitors Research
  • Multiple Myeloma Research and Treatments
  • Retinoids in leukemia and cellular processes
  • Epigenetics and DNA Methylation

University of Rome Tor Vergata
2022-2025

About 40% of relapsed or non-responder tumors exhibit therapeutic resistance in the absence a clear genetic cause, suggesting pivotal role intracellular communication. A deeper understanding signaling pathways rewiring occurring resistant cells is crucial to propose alternative effective strategies for cancer patients. To achieve this goal, we developed novel multi-step strategy, which integrates high sensitive mass spectrometry-based phosphoproteomics with network-based analysis. This...

10.1186/s12964-025-02185-0 article EN cc-by-nc-nd Cell Communication and Signaling 2025-04-10

Abstract The insertion site of the internal tandem duplications (ITDs) in FLT3 gene affects sensitivity to tyrosine kinase inhibitors (TKIs) therapy acute myeloid leukemia (AML). Patients with ITD domain lack effective therapeutic options. Here, identify genotype-driven strategies increasing TKI efficacy, we developed SignalingProfiler , a strategy supporting integration high-sensitive mass spectrometry-based (phospho)proteomics, RNA sequencing datasets literature-derived signaling networks....

10.1038/s41375-022-01785-w article EN cc-by Leukemia 2022-12-12

BCR::ABL1 drives chronic myeloid leukemia (CML) disease and treatment, as revealed by the success of tyrosine kinase inhibitor (TKI) therapy. However, additional poorly characterized molecular pathways, acting independent mechanisms, play crucial roles in CML, contributing to leukemic stem cells (LSCs) persistence, TKI resistance progression. Here, combining high sensitive mass spectrometry (MS)-based phosphoproteomics with SignalingProfiler pipeline, we obtained two signaling maps offering...

10.1101/2025.01.08.631869 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2025-01-10

Currently, the identification of patient-specific therapies in cancer is mainly informed by personalized genomic analysis. In setting acute myeloid leukemia (AML), patient-drug treatment matching fails a subset patients harboring atypical internal tandem duplications (ITDs) tyrosine kinase domain FLT3 gene. To address this unmet medical need, here we develop systems-based strategy that integrates multiparametric analysis crucial signaling pathways, and transcriptomic data with prior...

10.7554/elife.90532 article EN cc-by eLife 2023-10-24

Currently, the identification of patient-specific therapies in cancer is mainly informed by personalized genomic analysis. In setting acute myeloid leukemia (AML), patient-drug treatment matching fails a subset patients harboring atypical internal tandem duplications (ITDs) tyrosine kinase domain FLT3 gene. To address this unmet medical need, here we develop systems-based strategy that integrates multiparametric analysis crucial signaling pathways, and transcriptomic data with...

10.7554/elife.90532.2 preprint EN 2024-02-27

Currently, the identification of patient-specific therapies in cancer is mainly informed by personalized genomic analysis. In setting acute myeloid leukemia (AML), patient-drug treatment matching fails a subset patients harboring atypical internal tandem duplications (ITDs) tyrosine kinase domain FLT3 gene. To address this unmet medical need, here we develop systems-based strategy that integrates multiparametric analysis crucial signaling pathways, and transcriptomic data with prior...

10.7554/elife.90532.3 article EN cc-by eLife 2024-04-02

Summary Currently, the identification of patient-specific therapies in cancer is mainly informed by personalized genomic analysis. In setting acute myeloid leukemia (AML), patient-drug treatment matching fails a subset patients harboring atypical internal tandem duplications (ITDs) tyrosine kinase domain FLT3 gene. To address this unmet medical need, here we develop systems-based strategy that integrates multiparametric analysis crucial signaling pathways, and transcriptomic data with...

10.1101/2023.06.22.546072 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-06-22

Background: Internal tandem duplications (ITDs) in FLT3 gene occurs about 30% of patients with a de novo AML diagnosis and are generally associated poor prognostic outcomes. The different FLT3-ITD insertion site impacts the sensitivity to tyrosine kinase inhibitors (TKIs) treatment, influencing patients’ clinical outcome. Specifically, ITD domain (TKD) is chemoresistance, relapse lower overall survival. Aims: Our work aims elucidate molecular mechanisms driving cells (TKIs). Additionally, we...

10.1097/01.hs9.0000968688.31057.8d article EN cc-by-nc-nd HemaSphere 2023-08-01

Currently, the identification of patient-specific therapies in cancer is mainly informed by personalized genomic analysis. In setting acute myeloid leukemia (AML), patient-drug treatment matching fails a subset patients harboring atypical internal tandem duplications (ITDs) tyrosine kinase domain FLT3 gene. To address this unmet medical need, here we develop systems-based strategy that integrates multiparametric analysis crucial signaling pathways, and transcriptomic data with...

10.7554/elife.90532.1 preprint EN 2023-10-24

Summary Internal tandem duplications (ITDs) in the FLT3 gene are frequently identified and confer a poor prognosis patient affected by acute myeloid leukemia (AML). The insertion site of ITDs significantly impacts sensitivity to tyrosine kinase inhibitors (TKIs) therapy, affecting patient’s clinical outcome. To decipher molecular mechanisms driving different TKIs therapy FLT3-ITD mutation, we used high-sensitive mass spectrometry-based (phospho)proteomics deep sequencing. Here, present novel...

10.1101/2022.05.16.492070 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-05-16
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