Gene Set: WATANABE_RECTAL_CANCER_RADIOTHERAPY_RESPONSIVE_DN

Standard name WATANABE_RECTAL_CANCER_RADIOTHERAPY_RESPONSIVE_DN
Systematic name M4752
Brief description Genes down-regulated in rectal cancer patients resistant to radiotherapy (non-responders) relative to the sensitive ones (responders).
Full description or abstract Preoperative radiotherapy has been widely used to improve local control of disease and to improve survival in the treatment of rectal cancer. However, the response to radiotherapy differs among individual tumors. Our objective here was to identify a set of discriminating genes that can be used for characterization and prediction of response to radiotherapy in rectal cancer. Fifty-two rectal cancer patients who underwent preoperative radiotherapy were studied. Biopsy specimens were obtained from rectal cancer before preoperative radiotherapy. Response to radiotherapy was determined by histopathologic examination of surgically resected specimens and classified as responders or nonresponders. By determining gene expression profiles using human U95Av2 Gene Chip, we identified 33 novel discriminating genes of which the expression differed significantly between responders and nonresponders. Using this gene set, we were able to establish a new model to predict response to radiotherapy in rectal cancer with an accuracy of 82.4%. The list of discriminating genes included growth factor, apoptosis, cell proliferation, signal transduction, or cell adhesion-related genes. Among 33 discriminating genes, apoptosis inducers (lumican, thrombospondin 2, and galectin-1) showed higher expression in responders whereas apoptosis inhibitors (cyclophilin 40 and glutathione peroxidase) showed higher expression in nonresponders. The present study suggested the possibility that gene expression profiling may be useful in predicting response to radiotherapy to establish an individualized tailored therapy for rectal cancer. Global expression profiles of responders and nonresponders may provide insights into the development of novel therapeutic targets.
Collection C2: curated gene sets
      CGP: chemical and genetic perturbations
Source publication Pubmed 16585155   Authors: Watanabe T,Komuro Y,Kiyomatsu T,Kanazawa T,Kazama Y,Tanaka J,Tanaka T,Yamamoto Y,Shirane M,Muto T,Nagawa H
Exact source Table 1S: non-responders / responders < 1
Related gene sets (show 1 additional gene sets from the source publication)

(show 16 gene sets from the same authors)
External links  
Filtered by similarity
Organism Homo sapiens
Contributed by Arthur Liberzon (MSigDB Team)
Source platform AFFY_HG_U95
Dataset references (show 1 datasets)
Download gene set format: grp | text | gmt | gmx | xml
Compute overlaps (show collections to investigate for overlap with this gene set)
Compendia expression profiles GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
Advanced query Further investigate these 93 genes
Gene families Categorize these 93 genes by gene family
Show members (show 98 members mapped to 93 genes)
Version history 3.0: First introduced

See MSigDB license terms here. Please note that certain gene sets have special access terms.