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Anna Antenucci

The University of Texas MD Anderson Cancer Center

Publishes on Cancer Genomics and Diagnostics, Cancer-related molecular mechanisms research, RNA modifications and cancer. 58 papers and 36.7k citations.

58Publications
36.7kTotal Citations

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Top publicationsby citations

tsRNA signatures in cancer
Veronica Balatti, Giovanni Nigita, Dario Veneziano et al.|Proceedings of the National Academy of Sciences|2017
Cited by 289Open Access

Significance We found that tRNA-derived small RNAs (tsRNAs) are dysregulated in many cancers and that their expression is modulated during cancer development and staging. Indeed, activation of oncogenes and inactivation of tumor suppressors lead to a dysregulation of specific tsRNAs, and tsRNA-KO cells display a specific change in gene-expression profile. Thus tsRNAs could be key effectors in cancer-related pathways. These results indicate active crosstalk between tsRNAs and oncogenes and suggest that tsRNAs could be useful markers for diagnosis or targets for therapy. Additionally, ts-46 and ts-47 affect cell growth in lung cancer cell lines, further confirming the involvement of tsRNAs in cancer pathogenesis.

MicroRNA Profiles Discriminate among Colon Cancer Metastasis
Cited by 117Open Access

MicroRNAs are being exploited for diagnosis, prognosis and monitoring of cancer and other diseases. Their high tissue specificity and critical role in oncogenesis provide new biomarkers for the diagnosis and classification of cancer as well as predicting patients' outcomes. MicroRNAs signatures have been identified for many human tumors, including colorectal cancer (CRC). In most cases, metastatic disease is difficult to predict and to prevent with adequate therapies. The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 Italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 American metastatic patients. In situ hybridization was performed on the 16 American patients as well as on three distinct commercial tissues microarray (TMA) containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-miRNA-21, -93, and -103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile. We provided the first microRNAs signature that could discriminate between colorectal recurrences to lymph nodes and liver and between colorectal liver metastasis and primary hepatic tumor.

A differentially expressed set of microRNAs in cerebro-spinal fluid (CSF) can diagnose CNS malignancies
Cited by 105Open Access

// Alessandra Drusco 1 , Arianna Bottoni 1 , Alessandro Laganà 2 , Mario Acunzo 1 , Matteo Fassan 3 , Luciano Cascione 5, 6 , Anna Antenucci 4 , Prasanthi Kumchala 1 , Caterina Vicentini 7 , Marina P. Gardiman 3 , Hansjuerg Alder 1 , Mariantonia A. Carosi 8 , Mario Ammirati 9 , Stefano Gherardi 10 , Marilena Luscrì 10 , Carmine Carapella 11 , Nicola Zanesi 1 , Carlo M. Croce 1 1 MVIMG, The Ohio State University, Columbus, OH, USA 2 Dept. of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA 3 Dept. of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University of Padua, Padua, Italy 4 UOSD of Clinical pathology, Regina Elena Institute, Rome, Italy 5 Lymphoma & Genomics Research Program, IOR Institute of Oncology Research, Bellinzona, Switzerland 6 IOSI Oncology Institute of Southern Switzerland, Bellinzona, Switzerland 7 ARC-NET Research Centre, University and Hospital Trust of Verona, Verona, Italy 8 Dept. of Pathology, Regina Elena Institute, Rome, Italy 9 Dept. of Neurological Surgery, The Ohio State University, OH, USA 10 Dept. of Anesthesiology, Sandro Pertini Hospital, Rome, Italy 11 Dept. of Neurological Surgery, Regina Elena Institute, Rome, Italy Correspondence to: Carlo M. Croce, e-mail: carlo.croce@osumc.edu Alessandra Drusco, e-mail: adrusco@gmail.com Keywords: microRNA, cerebro-spinal fluid (CSF), brain tumors, biomarkers Received: May 02, 2015      Accepted: May 14, 2015      Published: May 28, 2015 ABSTRACT Central Nervous System malignancies often require stereotactic biopsy or biopsy for differential diagnosis, and for tumor staging and grading. Furthermore, stereotactic biopsy can be non-diagnostic or underestimate grading. Hence, there is a compelling need of new diagnostic biomarkers to avoid such invasive procedures. Several biological markers have been proposed, but they can only identify specific prognostic subtype of Central Nervous System tumors, and none of them has found a standardized clinical application. The aim of the study was to identify a Cerebro-Spinal Fluid microRNA signature that could differentiate among Central Nervous System malignancies. CSF total RNA of 34 neoplastic and of 14 non-diseased patients was processed by NanoString. Comparison among groups (Normal, Benign, Glioblastoma, Medulloblastoma, Metastasis and Lymphoma) lead to the identification of a microRNA profile that was further confirmed by RT-PCR and in situ hybridization. Hsa-miR-451, -711, 935, -223 and -125b were significantly differentially expressed among the above mentioned groups, allowing us to draw an hypothetical diagnostic chart for Central Nervous System malignancies. This is the first study to employ the NanoString technique for Cerebro-Spinal Fluid microRNA profiling. In this article, we demonstrated that Cerebro-Spinal Fluid microRNA profiling mirrors Central Nervous System physiologic or pathologic conditions. Although more cases need to be tested, we identified a diagnostic Cerebro-Spinal Fluid microRNA signature with good perspectives for future diagnostic clinical applications.

PCA3 in prostate cancer and tumor aggressiveness detection on 407 high-risk patients: a National Cancer Institute experience
Roberta Merola, Luigi Tomao, Anna Antenucci et al.|Journal of Experimental & Clinical Cancer Research|2015
Cited by 86Open Access

BACKGROUND: Prostate cancer (PCa) is the most common male cancer in Europe and the US. The early diagnosis relies on prostate specific antigen (PSA) serum test, even if it showed clear limits. Among the new tests currently under study, one of the most promising is the prostate cancer gene 3 (PCA3), a non-coding mRNA whose level increases up to 100 times in PCa tissues when compared to normal tissues. With the present study we contribute to the validation of the clinical utility of the PCA3 test and to the evaluation of its prognostic potential. METHODS: 407 Italian men, with two or more PCa risk factors and at least a previous negative biopsy, entering the Urology Unit of Regina Elena National Cancer Institute, were tested for PCA3, total PSA (tPSA) and free PSA (fPSA and f/tPSA) tests. Out of the 407 men enrolled, 195 were positive for PCa and 114 of them received an accurate staging with evaluation of the Gleason score (Gs). Then, the PCA3 score was correlated to biopsy outcome, and the diagnostic and prognostic utility were evaluated. RESULTS: Out of the 407 biopsies performed after the PCA3 test, 195 (48%) resulted positive for PCa; the PCA3 score was significantly higher in this population (p < 0.0001) differently to tPSA (p = 0.87). Moreover, the PCA3 test outperformed the f/tPSA (p = 0.01). The sensitivity (94.9) and specificity (60.1) of the PCA3 test showed a better balance for a threshold of 35 when compared to 20, even if the best result was achieved considering a cutoff of 51, with sensitivity and specificity of 82.1% and 79.3%, respectively. Finally, comparing values of the PCA3 test between two subgroups with increasing Gs (Gs ≤ 6 versus Gs ≥ 7) a significant association between PCA3 score and Gs was found (p = 0.02). CONCLUSIONS: The PCA3 test showed the best diagnostic performance when compared to tPSA and f/tPSA, facilitating the selection of high-risk patients that may benefit from the execution of a saturation prostatic biopsy. Moreover, the PCA3 test showed a prognostic value, as higher PCA3 score values are associated to a greater tumor aggressiveness.