Maurizio Callari

Fondazione Michelangelo — Italy

Biochemistry, Genetics and Molecular Biology · Life Sciences

36h-index5.6kcitations215works2.32yr avg
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Research Topics

Cancer Genomics and Diagnostics(71), Cancer Immunotherapy and Biomarkers(32), Cancer Cells and Metastasis(25), MicroRNA in disease regulation(23), Cancer-related molecular mechanisms research(22)

Publications214 total

Abstract PS2-09-09: Early on-treatment PD-L1 expression and stromal tumor infiltrating lymphocytes (sTILs) refine the prediction of EFS in the NeoTRIP trial
Clinical Cancer Research·2026
Role of ctDNA in predicting the outcome of patients with hormone receptor–positive, HER2-negative advanced breast cancer treated with first-line ribociclib and letrozole: BioItaLEE trial
Clinical Cancer Research·2026Open Access
Computational Methods for Cancer Neoantigen Prediction
Methods in molecular biology·2025Open Access
Using Epigenetic Data to Deconvolute Immune Cells in Cancer from Blood Samples
Methods in molecular biology·2025Open Access
Deciphering the Tumor Microenvironment Composition Using Bulk Transcriptomics: A Guide to Recent Advances and Open Challenges
Methods in molecular biology·2025Open Access
Tumor-specific major histocompatibility-II expression predicts pathological complete response to atezolizumab combined to chemotherapy in triple-negative breast cancer
npj Breast Cancer·2025Open Access
Prognostic and Biological Roles of Parkinson's Disease‐Associated Genes in Cancer
Movement Disorders·2025Open Access
Genome-wide transcriptomic response of whole blood to radiation
Scientific Reports·2025· 4 citedOpen Access
Analysis of event-free survival (EFS) of stromal tumor infiltrating lymphocytes (sTILs), PD-L1 expression, and their early dynamics in the NeoTRIP trial.
Journal of Clinical Oncology·2025
72P Predictive value of spatially-derived archetypes and tertiary lymphoid structure signature in the NeoTRIP trial
ESMO Open·2025Open Access
Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data
Molecular Oncology·2025Open Access
A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour <scp>DNA</scp> and machine learning to predict treatment outcome and progression‐free survival
Molecular Oncology·2025· 4 citedOpen Access
Prognostic and biological roles of Parkinson’s disease genes in cancer
2025Open Access
Genome-wide transcriptomic response of whole blood to radiation
2025Open Access
Determinants of response and molecular dynamics in HER2+ER+ breast cancers from the NA-PHER2 trial receiving HER2-targeted and endocrine therapies
Nature Communications·2025· 2 citedOpen Access
Author response for "Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data"
2025
Figure 4 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 6 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 5 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
Figure 3 from Modeling Drug Responses and Evolutionary Dynamics Using Patient-Derived Xenografts Reveals Precision Medicine Strategies for Triple-Negative Breast Cancer
2025Open Access
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Frequent Co-authors

Maria Grazia Daidone(18), Carlos Caldas(14), Oscar M. Rueda(13), Alejandra Bruna(12), Matteo Dugo(12), Wendy Greenwood(10), H. Raza Ali(10), Samuel Aparício(9), Bernd Bodenmiller(9), Shahar Alon(8), Dario Bressan(8), Gregory J. Hannon(8), Emma Laks(8), Giulia Lerda(8), Ciara H. O’Flanagan(8), Fatime Qosaj(8), Loris De Cecco(8), Anubhav Sinha(7), Asmamaw T. Wassie(7), Yi Cui(7)