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Clinical Significance of CTNNB1 Mutation and Wnt Pathway Activation in Endometrioid Endometrial Carcinoma
被引:135
|作者:
Liu, Yuexin
[1
]
Patel, Lalit
[1
]
Mills, Gordon B.
[2
]
Lu, Karen H.
[3
,4
]
Sood, Anil K.
[3
,4
]
Ding, Li
[5
]
Kucherlapati, Raju
[6
]
Mardis, Elaine R.
[5
]
Levine, Douglas A.
[7
]
Shmulevich, Ilya
[8
]
Broaddus, Russell R.
[1
]
Zhang, Wei
[1
]
机构:
[1] Univ Texas MD Anderson Canc Ctr, Dept Pathol, Houston, TX 77030 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Syst Biol, Houston, TX 77030 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Gynecol Oncol & Reprod Med, Houston, TX 77030 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Canc Biol, Houston, TX 77030 USA
[5] Washington Univ, Genome Inst, St Louis, MO USA
[6] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA
[7] Mem Sloan Kettering Canc Ctr, Dept Surg, Gynecol Serv, New York, NY 10021 USA
[8] Inst Syst Biol, Seattle, WA USA
来源:
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
|
2014年
/
106卷
/
09期
基金:
美国国家卫生研究院;
关键词:
TRANSCRIPTIONAL ACTIVATION;
EXPRESSION PROFILES;
CANCER;
REVEALS;
TARGET;
GENES;
IMPACT;
TUMORS;
COLON;
D O I:
10.1093/jnci/dju245
中图分类号:
R73 [肿瘤学];
学科分类号:
100214 ;
摘要:
Background Endometrioid endometrial carcinoma (EEC) is the most common form of endometrial carcinoma. The heterogeneous clinical course of EEC is an obstacle to individualized patient care. Methods We performed an integrated analysis on the multiple-dimensional data types including whole-exome and RNA sequencing, RPPA profiling, and clinical data from 271 EEC cases in The Cancer Genome Atlas (TCGA) to identify molecular fingerprints that may account for this clinical heterogeneity. Significance analysis of microarray was used to identify marker genes of each subtype that were subject to pathway analysis. Association of molecular subtypes with clinical features and mutation data was analyzed with the Mann Whitney, Chi-square, Fisher's exact, and Kruskal-Wallis tests. Survival analysis was evaluated with log-rank test. All statistical tests were two-sided. Results Four transcriptome subtypes with distinct clinicopathologic characteristics and mutation spectra were identified from the TCGA dataset and validated in an independent sample cohort of 184 EEC cases. Cluster II consisted of younger, obese patients with low-grade EEC but diminished survival. CTNNB1 exon 3 mutations were present in 87.0% (47/54) of Cluster II (P < .001) that exhibited a low overall mutation rate; this was statistically significantly associated with Wnt/beta-catenin signaling activation (P < .001). High expression levels of CTNNB1 (P = .001), MYC (P = .01), and CCND1 (P = .01) were associated with poorer overall survival in low-grade EEC tumors. Conclusions CTNNB1 exon 3 mutations are likely a driver that characterize an aggressive subset of low-grade and low-stage EEC occurring in younger women.
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