Open AccessCombination of SELDI-TOF-MS and Data Mining Provides Early-stage Response Prediction for Rectal Tumors Undergoing Multimodal Neoadjuvant Therapy
Author(s) -
F. H. Smith,
William M. Gallagher,
Edward P. Fox,
R. B. Stephens,
Elton Rexhepaj,
Emanuel F. Petricoin,
Lance A. Liotta,
M. John Kennedy,
John V. Reynolds
Publication year - 2007
Publication title -
annals of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.153
H-Index - 309
eISSN - 1528-1140
pISSN - 0003-4932
DOI - 10.1097/01.sla.0000245577.68151.bd
Subject(s) - medicine , colorectal cancer , proteome , randomized controlled trial , neoadjuvant therapy , stage (stratigraphy) , cancer , oncology , bioinformatics , breast cancer , biology , paleontology
We investigated whether proteomic analysis of the low molecular weight region of the serum proteome could predict histologic response of locally advanced rectal cancer to neoadjuvant radiochemotherapy (RCT).