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Updated: Jan 3, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
A view on drug resistance in cancer
Neil Vasan1,2, José Baselga1,2,3, David M Hyman4,5
1Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Abstract:
The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to define 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 identification of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These different approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapy.
Insights
Overcoming cancer drug resistance requires understanding its complex causes and implementing strategies like early detection, adaptive therapy, novel drugs, and personalized treatment based on cancer cell dependencies. This approach aims to improve therapeutic outcomes by addressing key resistance factors.
Area of Science:
- Oncology
- Cancer Research
- Pharmacology
Background:
- Cancer drug resistance is a significant clinical challenge, stemming from multiple interconnected factors.
- Understanding the determinants of resistance is crucial for developing effective cancer therapies.
Purpose of the Study:
- To dissect the multifaceted problem of cancer drug resistance by identifying key determinants.
- To propose generalizable solutions for overcoming therapeutic resistance in cancer treatment.
Main Methods:
- A reductionist approach was used to define and categorize the primary drivers of drug resistance.
- Proposed solutions involve early tumor detection, adaptive therapy monitoring, novel drug development, and identification of cancer cell dependencies through high-throughput screening and data integration.
Main Results:
- Key determinants of drug resistance include tumor burden, heterogeneity, physical barriers, the tumor microenvironment, undruggable targets, and therapeutic pressure consequences.
- Four generalizable strategies to combat drug resistance were proposed, focusing on interception, adaptive monitoring, enhanced drug efficacy, and personalized dependency targeting.
Conclusions:
- A synthesized approach, integrating early detection, adaptive monitoring, novel therapeutics, and personalized strategies, can inform optimal cancer treatment choices.
- Addressing the identified determinants of drug resistance holds promise for improving patient outcomes and overcoming therapeutic limitations.
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08:59Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
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