Prognostic value and their clinical implication of 89-gene signature in glioma.
Gliomas are the most common and aggressive primary tumors in adults. The current approaches, such as histological classification and molecular genetics, have limitation in prediction of individual therapeutic outcomes due to heterogeneity within the tumor groups. Recent studies have proposed several gene signatures to predict glioma's prognosis. However, most of the gene expression profiling studies have been performed on relatively small number of patients and combined probes from diverse microarray chips. Here, we identified prognostic 89 common genes from diverse microarray chips. The 89-gene signature classified patients into good and bad prognostic groups which differed in the overall survival significantly, reflecting the biological characteristics and heterogeneity. The robustness and accuracy of the gene signature as an independent prognostic factor was validated in three microarray and one RNA-seq data sets independently. By incorporating into histological classification and molecular marker, the 89-gene signature could further stratify patients with 1p/19q co-deletion and IDH1 mutation. Additionally, subset analyses suggested that the 89-gene signature could predict patients who would benefit from adjuvant chemotherapy. Conclusively, we propose that the 89-gene signature would have an independent and accurate prognostic value for clinical use. This study also offers opportunities for novel targeted treatment of individual patients.
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Muhammad
M
Shahid
Department of Internal Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Kyoung Min
KM
Cho
Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Minh Nam
MN
Nguyen
Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Tae Gyu
TG
Choi
Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Yong Hwa
YH
Jo
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Saurav Nath
SN
Aryal
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Ji Youn
JY
Yoo
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Hyeong Rok
HR
Yun
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Jae Woong
JW
Lee
Department of Otolaryngology-Head and Neck Surgery, Kyung Hee University Medical Center, Seoul, Republic of Korea.
Young Gyu
YG
Eun
Department of Systems Biology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ju-Seog
JS
Lee
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.|Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Insug
I
Kang
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.|Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Joohun
J
Ha
Department of Internal Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Hwi-Joong
HJ
Yoon
Department of Internal Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea.
Si-Young
SY
Kim
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea.|Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Sung Soo
SS
Kim
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000235:genetics*; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000235:genetics* / Q000473:pathology; D002648:Child; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D005910:Glioma / Q000175:diagnosis* / Q000235:genetics* / Q000473:pathology; D006801:Humans; D008297:Male; D046228:Microarray Analysis; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D059467:Transcriptome; D055815:Young Adult
D014408:Biomarkers, Tumor
chemosensitivity; gene expression profile; glioma; prognosis