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Massachusetts Institute of Technology

Functional genetics reveals surprises about the mechanisms of action of chemotherapeutics

Abstract

dc:description.abstract

Chemotherapy for the treatment of systemic cancer originated over half a century ago. Thus, many of our most successful therapies were implemented clinically without the wealth of molecular and genetic knowledge we have today. Other than empirically determined survival benefit, another primary consideration of drug use was based on combinations of drugs with non-overlapping toxicity; that way patients could withstand more chemotherapy without succumbing to the side effects. Additionally, new drugs were developed with an eye largely toward reducing toxicity, while assuming minor structural modifications would not affect the primary cytotoxic mechanism of action. However, relatively little effort has been devoted to reexamining how and why these early therapies are successful in some cancers and not others, or for some patients and not others. Here, I used functional genetics to examine the mechanisms of action of new and emerging anti-cancer agents. First, the platinum-based chemotherapeutics, cisplatin and its analogues, carboplatin and oxaliplatin, were evaluated. Previously all platinum anti-cancer agents were assumed to kill cells via DNA cross-linking. However, using an RNAi-based drug mechanism of action predictive signature, we were able to determine that oxaliplatin instead exerts its cytotoxicity via inhibition of transcription/translation, not the canonical DNA crosslinking mechanism of action exhibited by cisplatin and carboplatin. This finding predicts new clinical uses for oxaliplatin and suggests that conventional chemotherapy can be thought of in a more targeted manner. Functional genetics was further used to gain novel insights into emerging anti-cancer agents and delivery modalities. Nanoparticles are a new method of chemotherapy delivery that have the ability to reduce toxicity and enhance tumor specific drug delivery. Surprisingly, we found that the process of creating nanoparticles can fundamentally alter the mechanism of action of the delivered drug. Additionally, the RNAi-based drug mechanism of action signatures were used to optimize nanoparticles to deliver combinations of drugs. Furthermore, the recently developed anti-cancer compound, CX-5461, was discovered to inhibit Topoisomerase 2 as its primary mechanism of action, instead of the previously assumed RNA polymerase I inhibition. Finally, new functional genetic tools were developed for examining tumor progression and therapeutic response both in vitro and in vivo. These new technologies, known as CRISPRi and CRISPRa, were demonstrated to easily and efficiently facilitate screening of genes influencing tumor growth and treatment relapse. Thus, future utilization of these tools should permit faster discovery and translation of new findings to the clinic.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Biology.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bruno, Peter M. (Peter Michael)
Advisor dc:contributor.advisor
  • Michael T. Hemann.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/104171
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/104171

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Bruno, Peter M. (Peter Michael). Functional genetics reveals surprises about the mechanisms of action of chemotherapeutics. Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104171