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International Journal of Oncology|April 6, 2005
Matrix metalloproteinase-2 and matrix metalloproteinase-9 type IV collagenases in serum of patients with pleural effusionsAngelina Di Carlo, Daniela Terracciano, Angela Mariano, et al.Oncology Reports|April 6, 2006
Urinary gelatinase activities (matrix metalloproteinases 2 and 9) in human bladder tumorsAngelina Di Carlo, Daniela Terracciano, Angela Mariano, et al.Oncology Reports|August 4, 2005
Analysis of glycoproteins in human colon cancers, normal tissues and in human colon carcinoma cells reactive with monoclonal antibody NCL-19-9Daniela Terracciano, Angela Mariano, Vincenzo Macchia, et al.Cancers|November 11, 2022
Cell-Free DNA Analysis within the Challenges of Thyroid Cancer ManagementVincenzo Marotta, Michele Cennamo, Evelina La Civita, et al.Oncology Reports|February 12, 2002
Cyclic AMP-dependent secretion of Ca 19-9 by LS174T human colon carcinoma cellsVincenzo Macchia, Maria Gargiulo, Daniela Terracciano, et al.International Journal of Oncology|July 31, 2003
Role of cytokeratins, nuclear matrix proteins, Lewis antigen and epidermal growth factor receptor in human bladder tumorsAngelina Di Carlo, Daniela Terracciano, Angela Mariano, et al.Journal of Clinical Laboratory Analysis|September 20, 2020
Comparison between a new thyroglobulin assay with the well-established Beckman Access immunoassay: A preliminary reportMichele Cennamo, Evelina La Civita, Anna Curci, et al.Gynecologic Oncology Reports|January 21, 2026
Systemic inflammation indices and serum squamous cell carcinoma (SCC) antigen: an exploratory analysis on prognosis of patients with vulvar squamous cell carcinomaLuigi Della Corte, Mario Palumbo, Dominga Boccia, et al.Clinical Chemistry and Laboratory Medicine|March 14, 2026
Translating neurofilament light chain testing into clinical practice: a multidisciplinary implementation roadmapRoberto Furlan, Alessia Di Sapio, Diana Ferraro, et al.BMC Bioinformatics|March 6, 2023
A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodologyAngelo Ciaramella, Emanuel Di Nardo, Daniela Terracciano, et al.Pageof 18