The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to defne and separate the key determinants of drug resistance, which include tumour burden and growth kinetics; tumour heterogeneity; physical barriers; the immune system and the microenvironment; undruggable cancer drivers; and the many consequences of applying therapeutic pressures. We propose four general solutions to drug resistance that are based on earlier detection of tumours permitting cancer interception; adaptive monitoring during therapy; the addition of novel drugs and improved pharmacological principles that result in deeper responses; and the identifcation of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These diferent approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapy
Il problema della resistenza alla terapia nel cancro è variegato. Qui si affronta un approccio riduzionista per definire e separare i determinanti della resistenza ai farmaci, includendo carico tumorale, crescita cinetica e vari agenti; e le varie conseguenze terapeutiche. Vengono proposte soluzioni generali alla resistenza, basate soprattutto sulla diagnosi precoce del tumore, in modo da intercettarlo con monitoraggi, farmaci “su misura”, identificazione delle cellule cancerogene e delle loro varie dipendenze e con la creazione di modelli appositi. Questi diversi approcci possono essere decisi per ogni tumore a qualsiasi stadio, in modo da valutare la scelta della terapia
Studio sulla resistenza ai farmaci nel cancro
MAZZEO, LUCA
2018/2019
Abstract
The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to defne and separate the key determinants of drug resistance, which include tumour burden and growth kinetics; tumour heterogeneity; physical barriers; the immune system and the microenvironment; undruggable cancer drivers; and the many consequences of applying therapeutic pressures. We propose four general solutions to drug resistance that are based on earlier detection of tumours permitting cancer interception; adaptive monitoring during therapy; the addition of novel drugs and improved pharmacological principles that result in deeper responses; and the identifcation of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These diferent approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapyFile | Dimensione | Formato | |
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Luca_mgo.pdf
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https://hdl.handle.net/20.500.12075/6118