Leone, Ilaria (2025) Proteomic and miRNA Profiling of Lung Cancer-Derived EVs: Identifying Novel Biomarkers for Drug Resistance to RTK Inhibitors. [Tesi di dottorato]
![[thumbnail of Leone_Ilaria_37_completo.pdf]](https://www.fedoa.unina.it/style/images/fileicons/other.png "Leone_Ilaria_37_completo.pdf") |
Documento PDF
Leone_Ilaria_37_completo.pdf Visibile a [TBR] Amministratori dell'archivio Download (2MB) | Richiedi una copia |
|
Documento PDF
Leone_Ilari_37_parziale.pdf Visibile a [TBR] Amministratori dell'archivio Download (1MB) | Richiedi una copia |
| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Proteomic and miRNA Profiling of Lung Cancer-Derived EVs: Identifying Novel Biomarkers for Drug Resistance to RTK Inhibitors |
| Autori: | Autore Email Leone, Ilaria ilarialeone93@gmail.com |
| Data: | 5 Febbraio 2025 |
| Numero di pagine: | 82 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Medicina Molecolare e Biotecnologie Mediche |
| Dottorato: | Medicina molecolare e biotecnologie mediche |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email Santoro, Massimo masantor@unina.it |
| Tutor: | nome email Condorelli, Gerolama [non definito] |
| Data: | 5 Febbraio 2025 |
| Numero di pagine: | 82 |
| Parole chiave: | Lung Cancer, Extracellular Vesicles, Biomarker, Drug Resistance |
| Settori scientifico-disciplinari del MIUR: | Area 05 - Scienze biologiche > BIO/11 - Biologia molecolare |
| Depositato il: | 26 Nov 2025 10:58 |
| Ultima modifica: | 09 Ago 2026 06:03 |
| URI: | https://www.fedoa.unina.it/id/eprint/16610 |
Abstract
Lung cancer remains the leading cause of cancer-related deaths, largely due to late diagnoses and treatment resistance. Targeted therapies like EGFR inhibitors (EGFRi) have improved outcomes, but resistance—such as that seen with Erlotinib—remains a challenge. Identifying biomarkers for early resistance detection could enhance treatment strategies. This study explores extracellular vesicles (EVs) as potential biomarkers of Erlotinib resistance. EVs, released by tumor cells, carry proteins and RNA that reflect cellular states and can be detected non-invasively. EVs from Erlotinib-sensitive (HCC-827) and resistant (HCC-827 ER3) lung cancer cells were analyzed. Proteomic and microRNA profiling identified proteins and miRNAs linked to resistance. These findings suggest EV-associated biomarkers could improve liquid biopsies, aiding personalized therapy and addressing treatment resistance in lung cancer.
Downloads
Downloads per month over past year
Actions (login required)
 |
Modifica documento |
