Author

E. Marino

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Donini· 2 shared A. Zampella· 2 shared E. Distrutti· 2 shared L. Graziosi· 2 shared M. Biagioli· 2 shared S. Fiorucci· 2 shared S. Marchiano· 2 shared A. Carino· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCancer Biology

A. Donini

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Author profile →

3 papers

Recent·Most cited

miRNome profiling of lung cancer metastases revealed a key role for miRNA-PD-L1 axis in the modulation of chemotherapy response

R. Cuttano, T. Colangelo, J. Guarize, E. Dama, M. P. Cocomazzi, F. Mazzarelli, V. Melocchi, O. Palumbo, E. Marino, E. Belloni, F. Montani, M. Vecchi, M. Barberis, P. Graziano, A. Pasquier, , F. Bianchi

The paper identifies a miR-455-5p/PD-L1 axis that drives chemotherapy resistance in lung cancer metastases and predicts neoadjuvant chemotherapy response.

Journal of Hematology & Oncology · Dec 31, 2022Peer-reviewedCancer Biology

Next generation sequencing analysis of gastric cancer identifies the leukemia inhibitory factor receptor (LIFR) as a driving factor in gastric cancer progression and as a predictor of poor prognosis

C. Di Giorgio, S. Marchiano, E. Marino, M. Biagioli, R. Roselli, M. Bordoni, R. Bellini, G. Urbani, A. Zampella, E. Distrutti, A. Donini, L. Graziosi, S. Fiorucci

This study identifies LIFR as a key driver in gastric cancer progression and a predictor of poor prognosis through RNA-seq analysis of patient samples.

bioRxiv · May 5, 2022 · PreprintCancer Biology

Analysis of gastric cancer transcriptome allows the identification of histotype specific molecular signatures with prognostic potential

A. Carino, L. Graziosi, S. Marchiano, M. Biagioli, E. Marino, V. Sepe, A. Zampella, E. Distrutti, A. Donini, S. Fiorucci

This study identifies histotype-specific molecular signatures in gastric cancer using transcriptomic analysis, finding AQP9, CARD14, and CXCR2 as prognostic markers.

bioRxiv · Feb 2, 2021Cancer Biology