Research Papers:
Transcriptomic reappraisal identifies MGLL overexpression as an unfavorable prognosticator in primary gastrointestinal stromal tumors
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Abstract
Chien-Feng Li1,2,3,8,*, I-Chieh Chuang4,8,*, Ting-Ting Liu4, Ko-Chin Chen5,8, Yen-Yang Chen6, Fu-Min Fang7, Shau-Hsuan Li6, Tzu-Ju Chen1,8, Shih-Chen Yu1, Jui Lan4,8, Hsuan-Ying Huang4,8
1Department of Pathology, Chi-Mei Medical Center, Tainan, Taiwan
2National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
3Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, Taiwan
4Department of Pathology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
5Department of Pathology, Changhua Christian Hospital, Changhua, Taiwan
6Division of Oncology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
7Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
8Bone and Soft Tissue Study Group, Taiwan Society of Pathology, Taiwan
*These authors have contributed equally to this work
Correspondence to:
Hsuan-Ying Huang, email: [email protected]
Keywords: cancer metabolism, lipid metabolism, MGLL, transcriptome, GIST
Received: May 02, 2016 Accepted: June 13, 2016 Published: June 27, 2016
ABSTRACT
The role of deregulated cellular metabolism, particularly lipid metabolism, in gastrointestinal stromal tumors (GISTs) remains unclear. Through data mining of published transcriptomes, we examined lipid metabolism-regulating drivers differentially upregulated in high-risk cases and identified monoglyceride lipase (MGLL) as the top-ranking candidate involved in GIST progression. MGLL expression status was examined in three GIST cell lines and two independent sets of primary localized GISTs. MGLL mRNA abundance and immunoexpression was determined in 70 cases through the QuantiGene assay and H-scoring on whole sections, respectively. H-scoring was extended to another cohort for evaluating MGLL immunoexpression on tissue microarrays, yielding 350 informative cases, with KIT/PDGFRA mutation genotypes noted in 213 of them. Both imatinib-sensitive (GIST882) and -resistant (GIST48 and GIST430) cell lines exhibited increased MGLL expression. MGLL mRNA levels significantly increased from adjacent normal tissue to the non-high-risk group (p = 0.030) and from the non-high-risk group to high-risk GISTs (p = 0.012), and were associated with immunoexpression levels (p < 0.001, r = 0.536). MGLL overexpression was associated with the nongastric location (p = 0.022) and increased size (p = 0.017), and was strongly related to mitosis and risk levels defined by NIH and NCCN criteria (all p ≤ 0.001). Univariately, MGLL overexpression was strongly predictive of poorer disease-free and overall survival (both p < 0.001), which remained prognostically independent for both endpoints, along with higher risk levels. Conclusively, MGLL is a lipid metabolic enzyme causatively implicated in GIST progression given its association with unfavorable clincopathological factors and independent negative prognostic effects.
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