TY  - GEN
AB  - Advancing precision medicine in the treatment of cancer is complex and requires extensive molecular profiling to identify therapeutic targets and appropriately stratify patients into groups that differ in therapeutic vulnerability. The Cancer Genome Atlas (TCGA) has molecularly defined several cancer types and identified distinct subtypes. However, in some cases identification of molecular subtypes have failed to translate clinically. We hypothesize that more accurate molecular subtyping and patient stratification can be achieved by taking into account intra-tumoral heterogeneity and microenvironment signals.
AD  - Oregon Health and Science University
AU  - Claunch, Cheryl
DA  - 2018-07-01
DO  - 10.6083/BTVR5A
DO  - DOI
ED  - Gray, Joe W.
ED  - Korkola, James E.
ED  - Sears, Rosalie
ED  - Luoh, Shiuh-Wen
ED  - Muldoon, Leslie L.
ED  - Mentor
ED  - Co-mentor
ED  - Committee chair
ED  - Committee member
ED  - Committee member
ID  - 3113
KW  - Tumor Microenvironment
KW  - Molecular Typing
KW  - Urinary Bladder Neoplasms
KW  - Muscles
KW  - Prognosis
KW  - Precision Medicine
KW  - Glioblastoma
KW  - Proportional Hazards Models
KW  - cox proportional hazards models
KW  - glioblastoma multiforme
L1  - https://digitalcollections.ohsu.edu/record/3113/files/4076_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/3113/files/4076_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/3113/files/4076_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/3113/files/4076_etd.pdf
N2  - Advancing precision medicine in the treatment of cancer is complex and requires extensive molecular profiling to identify therapeutic targets and appropriately stratify patients into groups that differ in therapeutic vulnerability. The Cancer Genome Atlas (TCGA) has molecularly defined several cancer types and identified distinct subtypes. However, in some cases identification of molecular subtypes have failed to translate clinically. We hypothesize that more accurate molecular subtyping and patient stratification can be achieved by taking into account intra-tumoral heterogeneity and microenvironment signals.
PB  - Oregon Health and Science University
PY  - 2018-07-01
T1  - Strategies to improve predictions of outcome in glioblastoma multiforme and muscle-invasive bladder cancer
TI  - Strategies to improve predictions of outcome in glioblastoma multiforme and muscle-invasive bladder cancer
UR  - https://digitalcollections.ohsu.edu/record/3113/files/4076_etd.pdf
Y1  - 2018-07-01
ER  -