Determining patterns of cancer drug resistance from autopsy patients

Determining patterns of drug resistance is fundamentally required for improving clinical outcome of cancer treatment. The ability to study multiple samples from different metastatic sites of the same patient is a clinically and analytically challenging task, which has become possible with the advent of "rapid" autopsy procedures (<10 hours from death) conducted on cancer patients through the Massachusetts General Hospital (MGH) Rapid Autopsy Program. The dataset of whole-exome, whole genome and transcriptome sequencing data from advanced cancer samples uniquely captures genomic and transcriptomic information from multiple lesions of the same patient for advanced study of how resistance develops on the systemic level. Additionally, previously collected cell-free DNA samples enable the establishment of both a spatial and temporal picture of cancer drug resistance and progression.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Martin, Elizabeth E.,M. Eng.Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Gad Getz and J. Christopher Love.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/129922

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/129922