Grazia Gargano

List of recent publications:

• Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition. De Benedictis SG, Gargano G, Settembre G. Journal of Computational Mathematics and Data Science, vol. 13 (2024) p.100103. https://doi.org/10.1016/j.jcmds.2024.100103.

• A targeted gene signature stratifying mediastinal gray zone lymphoma into classical HL-like or PMBL-like subtypes. Gargano G et al. Haematologica, Vol. 109 No. 11 (2024), pp. 3771-3775. https://doi.org/10.3324/haematol.2024.285266.

• Reversal of MYB-dependent suppression of MAFB expression overrides leukaemia phenotype in MLL-rearranged AML. Negri A, Ward C, Bucci A, D'Angelo G, Cauchy P, Radesco A, Ventura AB, Walton DS, Clarke M, Mandriani B, Pappagallo SA, Mondelli P, Liao K, Gargano G et al. Cell Death Dis. 2023 Nov 23;14(11):763. https://doi.org/10.1038/s41419-023-06276-z. 

• A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants. Zaccaria GM, Vegliante MC, Mezzolla G, Stranieri M, Volpe G, Altini N, Gargano G et al. Hemasphere. 2023 Apr 5;7(4):e862. https://doi.org/10.1097/HS9.0000000000000862.

• Detecting Anomalies in Marine Data: A Framework for Time Series Analysis. Del Buono N, Esposito F, Gargano G, Selicato L, Taggio N, Ceriola G, and Iasillo D. (2023). In Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13810, pp. 485–500. Springer, Cham. https://doi.org/10.1007/978-3-031-25599-1_36.

• NR1H3 (LXRα) is associated with pro-inflammatory macrophages, predicts survival and suggests potential therapeutic rationales in diffuse large b-cell lymphoma. Vegliante MC, Mazzara S, Zaccaria GM, De Summa S, Esposito F, Melle F, Motta G, Sapienza MR, Opinto G, Volpe G, Bucci A, Gargano G et al. Hematol Oncol. 2022; 1- 12. https://doi.org/10.1002/hon.305.

• A New Ensemble Method for Detecting Anomalies in Gene Expression Matrices. Selicato L, Esposito F, Gargano G, Vegliante MC, Opinto G, Zaccaria GM, Ciavarella S, Guarini A, Del Buono N.  Mathematics 2021, 9, 882. https://doi.org/10.3390/math9080882.

• A 16-gene signature reflecting tumor microenvironment predicts the risk of multiple myeloma patients treated by bortezomib-based therapies. Gargano G et al. (2023) Clinical Lymphoma, Myeloma and Leukemia 23: S251-S252. https://doi.org/10.1016/S2152-2650(23)02001-3. 

• Validation of Argo (Automatic record generator for Onco-Hematology), a New App Supporting the Automatic Conversion of Paper-Based Pathology Reports in Standardized Ecrfs. Zaccaria GM, Berloco F, Clemente F, Pappagallo SA, Vegliante MC, Gargano G et al.  Blood 2022; 140 (Supplement 1): 10720–10721. https://doi.org/10.1182/blood-2022-158808.

• A Digital Gene-Expression Signature Supports Mediastinal Gray Zone Lymphoma Stratification within Classical Hodgkin or Primary Mediastinal B-Cell Lymphoma. Vegliante MC, Gargano G et al. Blood 2022; 140 (Supplement 1): 9312–9313. https://doi.org/10.1182/blood-2022-159478.

Contacts

E-mail: grazia.gargano@uniba.it; grazia.gargano@oncologico.bari.it
Address: Room 16, Second floor, Dept. of Mathematics, Via E. Orabona, 4, Bari, Italy
Office Tel: +39 080 5443387