Microarray gene expression profiling for predicting complete response to preoperative chemoradiotherapy in patients with advanced rectal cancer.
OBJECTIVE
Preoperative chemoradiotherapy is widely used to improve local control and sphincter preservation in patients with locally advanced rectal cancer. In the present study, we investigated whether microarray gene expression analysis could predict complete response to preoperative chemoradiotherapy in rectal cancer.


METHODS
Tumor tissues were obtained from 46 patients with rectal cancer (31 for training and 15 for validation testing). All patients underwent preoperative chemoradiotherapy involving 50.4 gray radiotherapy, followed by surgical excision 6 weeks later. Response to chemoradiotherapy was evaluated according to Dworak's tumor regression grade. Tumor regression Grades 1, 2, and 3 were considered partial responses, and tumor regression Grade 4 was considered a complete response. By using the 31 training samples, genes differentially expressed between partial response and complete response were identified, and clustering analysis was performed. Prediction analysis of response to chemoradiotherapy was performed on the 31 training samples by using a selected set of 95 "predictor" genes. Those findings were validated by independent analysis of the 15 test samples.


RESULTS
The 31 training samples comprised 20 partial response and 11 complete response cases. A primary set of 261 genes was identified as differentiating between partial response and complete response. By supervised clustering using these 261 genes, 30 of 31 training samples were clustered correctly according to tumor response. A gene set comprising the top-ranked 95 genes displaying differential expression between partial response and complete response was applied to predict response to chemoradiotherapy. Complete response and partial response were accurately predicted in 84 percent (26/31) of training samples and 87 percent (13/15) of validation samples.


CONCLUSIONS
Microarray gene expression analysis was successfully used to predict complete responses to preoperative chemoradiotherapy in patients with advanced rectal cancer.
Kim
Il-Jin
IJ
Cancer Research Institute and Cancer Research Center, Seoul National University, 28 Yongon-Dong, Chongno-Gu, Seoul, Korea.
Lim
Seok-Byung
SB
Kang
Hio Chung
HC
Chang
Hee Jin
HJ
Ahn
Sun-A
SA
Park
Hye-Won
HW
Jang
Sang-Geun
SG
Park
Jae-Hyun
JH
Kim
Dae Yong
DY
Jung
Kyung Hae
KH
Choi
Hyo Seong
HS
Jeong
Seung-Yong
SY
Sohn
Dae Kyung
DK
Kim
Duck-Woo
DW
Park
Jae-Gahb
JG
D000328:Adult; D000368:Aged; D003082:Colectomy; D004273:DNA, Neoplasm / Q000235:genetics*; D005260:Female; D005500:Follow-Up Studies; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011237:Predictive Value of Tests; D012004:Rectal Neoplasms / Q000188:drug therapy / Q000532:radiotherapy / Q000601:surgery / Q000628:therapy*; D015203:Reproducibility of Results; D016896:Treatment Outcome
D004273:DNA, Neoplasm