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Tesi etd-10112021-135825


Tipo di tesi
Tesi di laurea magistrale LM6
Autore
DAMONE, FRANCESCO
URN
etd-10112021-135825
Titolo
Modeling cancer cells and vasculature dynamics by serological and imaging biomarkers in patients treated for hepatocellular carcinoma
Dipartimento
RICERCA TRASLAZIONALE E DELLE NUOVE TECNOLOGIE IN MEDICINA E CHIRURGIA
Corso di studi
MEDICINA E CHIRURGIA
Relatori
relatore Prof.ssa Brunetto, Maurizia Rossana
correlatore Dott. Colombatto, Piero
Parole chiave
  • AFP
  • PIVKA-II
  • HCC
  • modeling
  • TKI
  • TACE
Data inizio appello
26/10/2021
Consultabilità
Non consultabile
Data di rilascio
26/10/2091
Riassunto
Transarterial chemoembolization (TACE) and tyrosine-kinase inhibitors (TKI) represent first-line treatments in intermediate and advanced hepatocellular carcinoma (HCC). Deepening TKI and TACE response mechanisms may provide insights to optimize their combination in selected patients (pts). We developed a physic-mathematical model to investigate HCC cancer cells and vasculature dynamics combining digital imaging and serological biomarkers [-Fetoprotein (AFP); protein induced by vitamin K absence II (PIVKA-II)] in 10 TKI [4 Complete Responders (CR) and 6 NON-CR] and in 8 TACE (2 CR, 6 NON-CR) treated pts. Fitting their AFP and PIVKA-II kinetics provided a quantitative assessment of anti-angiogenetic and anti-proliferative effectiveness of the treatments, which were 13.7-fold and 7.0-fold higher with TKIs. TACE, however, reached its maximal therapeutic effect in <1 day, TKI between 4.6-99.9 days. Accordingly, AFP reduction after TKI was delayed, whereas it was observed immediately in all TACE treated pts with a half-life of the AFP comparable to that of its natural decay (0.10-0.16 day-1). An early spike of PIVKA-II levels was observed in most pts receiving TKI, but not after TACE, suggesting that PIVKA-II production rate increases only when ischemia onset is slow. In conclusion, TKI and TACE show potential synergic effects that should be investigated in future studies. Our model could contribute to a better characterization of the response and help to define treatments timing.
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