Genetic Variants in ALDH1B1 and Alcohol Dependence Risk in a British and Irish Population: a Bioinformatic and Genetic Study
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(ALDH1A3) for the Maintenance of Non-Small Cell Lung Cancer Stem Cells Is Associated with the STAT3 Pathway
Author Manuscript Published OnlineFirst on June 6, 2014; DOI: 10.1158/1078-0432.CCR-13-3292 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Essential role of aldehyde dehydrogenase 1A3 (ALDH1A3) for the maintenance of non-small cell lung cancer stem cells is associated with the STAT3 pathway Chunli Shao1,2, James P. Sullivan3, Luc Girard1,2, Alexander Augustyn1,2, Paul Yenerall1,2, Jaime Rodriguez4, Hui Liu4, Carmen Behrens4, Jerry W. Shay5, Ignacio I. Wistuba4, John D. Minna 1,2,6,7 1Hamon Center for Therapeutic Oncology Research, 2Simmons Comprehensive Cancer Center, 3Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, 02114, 4Department of Translational Molecular Pathology, University of Texas M.D. Anderson Cancer Center, Houston, Texas, 77054, 5Department of Cell Biology, 6Department of Pharmacology, 7Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, 75390, USA. Running Title: ALDH1A3 in non-small cell lung cancer stem cells Keywords: Lung cancer, cancer stem cells, ALDH1A3, STAT3, Stattic Financial Support This project was supported by CPRIT, NCI SPORE P50CA70907, UTSW Cancer Center Support Grant 5P30-CA142543, and the Gillson-Longenbaugh Foundation. Address Correspondence: John D. Minna, M.D. 6000 Harry Hines Blvd Dallas, TX 75390-8593 Hamon Center for Therapeutic Oncology Research UT Southwestern Medical Center Phone: 214-648-4900; Fax: 214-648-4940 [email protected] Disclosure of Potential Conflict of Interest The authors indicate no potential conflicts of interest. Word count: 4583 Total number of figures and tables: 6 figures Downloaded from clincancerres.aacrjournals.org on September 28, 2021. © 2014 American Association for Cancer Research. -
Identify Distinct Prognostic Impact of ALDH1 Family Members by TCGA Database in Acute Myeloid Leukemia
Open Access Annals of Hematology & Oncology Research Article Identify Distinct Prognostic Impact of ALDH1 Family Members by TCGA Database in Acute Myeloid Leukemia Yi H, Deng R, Fan F, Sun H, He G, Lai S and Su Y* Department of Hematology, General Hospital of Chengdu Abstract Military Region, China Background: Acute myeloid leukemia is a heterogeneous disease. Identify *Corresponding author: Su Y, Department of the prognostic biomarker is important to guide stratification and therapeutic Hematology, General Hospital of Chengdu Military strategies. Region, Chengdu, 610083, China Method: We detected the expression level and the prognostic impact of Received: November 25, 2017; Accepted: January 18, each ALDH1 family members in AML by The Cancer Genome Atlas (TCGA) 2018; Published: February 06, 2018 database. Results: Upon 168 patients whose expression level of ALDH1 family members were available. We found that the level of ALDH1A1correlated to the prognosis of AML by the National Comprehensive Cancer Network (NCCN) stratification but not in other ALDH1 members. Moreover, we got survival data from 160 AML patients in TCGA database. We found that high ALDH1A1 expression correlated to poor Overall Survival (OS), mostly in Fms-like Tyrosine Kinase-3 (FLT3) mutated group. HighALDH1A2 expression significantly correlated to poor OS in FLT3 wild type population but not in FLT3 mutated group. High ALDH1A3 expression significantly correlated to poor OS in FLT3 mutated group but not in FLT3 wild type group. There was no relationship between the OS of AML with the level of ALDH1B1, ALDH1L1 and ALDH1L2. Conclusion: The prognostic impacts were different in each ALDH1 family members, which needs further investigation. -
Update on the Aldehyde Dehydrogenase Gene (ALDH) Superfamily Brian Jackson,1 Chad Brocker,1 David C
GENOME UPDATE Update on the aldehyde dehydrogenase gene (ALDH) superfamily Brian Jackson,1 Chad Brocker,1 David C. Thompson,2 William Black,1 Konstandinos Vasiliou,1 Daniel W. Nebert3 and Vasilis Vasiliou1* 1Molecular Toxicology and Environmental Health Sciences Program, Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Center, Aurora, CO 80045, USA 2Department of Clinical Pharmacy, University of Colorado Anschutz Medical Center, Aurora, CO 80045, USA 3Department of Environmental Health and Center for Environmental Genetics (CEG), University of Cincinnati Medical Center, Cincinnati, OH 45267, USA *Correspondence to: Tel: þ1 303 724 3520; Fax: þ1 303 724 7266; E-mail: [email protected] Date received (in revised form): 23rd March 2011 Abstract Members of the aldehyde dehydrogenase gene (ALDH) superfamily play an important role in the enzymic detoxifi- cation of endogenous and exogenous aldehydes and in the formation of molecules that are important in cellular processes, like retinoic acid, betaine and gamma-aminobutyric acid. ALDHs exhibit additional, non-enzymic func- tions, including the capacity to bind to some hormones and other small molecules and to diminish the effects of ultraviolet irradiation in the cornea. Mutations in ALDH genes leading to defective aldehyde metabolism are the molecular basis of several diseases, including gamma-hydroxybutyric aciduria, pyridoxine-dependent seizures, Sjo¨gren–Larsson syndrome and type II hyperprolinaemia. Interestingly, several ALDH enzymes appear to be markers for normal and cancer stem cells. The superfamily is evolutionarily ancient and is represented within Archaea, Eubacteria and Eukarya taxa. Recent improvements in DNA and protein sequencing have led to the identification of many new ALDH family members. -
Plenary and Platform Abstracts
American Society of Human Genetics 68th Annual Meeting PLENARY AND PLATFORM ABSTRACTS Abstract #'s Tuesday, October 16, 5:30-6:50 pm: 4. Featured Plenary Abstract Session I Hall C #1-#4 Wednesday, October 17, 9:00-10:00 am, Concurrent Platform Session A: 6. Variant Insights from Large Population Datasets Ballroom 20A #5-#8 7. GWAS in Combined Cancer Phenotypes Ballroom 20BC #9-#12 8. Genome-wide Epigenomics and Non-coding Variants Ballroom 20D #13-#16 9. Clonal Mosaicism in Cancer, Alzheimer's Disease, and Healthy Room 6A #17-#20 Tissue 10. Genetics of Behavioral Traits and Diseases Room 6B #21-#24 11. New Frontiers in Computational Genomics Room 6C #25-#28 12. Bone and Muscle: Identifying Causal Genes Room 6D #29-#32 13. Precision Medicine Initiatives: Outcomes and Lessons Learned Room 6E #33-#36 14. Environmental Exposures in Human Traits Room 6F #37-#40 Wednesday, October 17, 4:15-5:45 pm, Concurrent Platform Session B: 24. Variant Interpretation Practices and Resources Ballroom 20A #41-#46 25. Integrated Variant Analysis in Cancer Genomics Ballroom 20BC #47-#52 26. Gene Discovery and Functional Models of Neurological Disorders Ballroom 20D #53-#58 27. Whole Exome and Whole Genome Associations Room 6A #59-#64 28. Sequencing-based Diagnostics for Newborns and Infants Room 6B #65-#70 29. Omics Studies in Alzheimer's Disease Room 6C #71-#76 30. Cardiac, Valvular, and Vascular Disorders Room 6D #77-#82 31. Natural Selection and Human Phenotypes Room 6E #83-#88 32. Genetics of Cardiometabolic Traits Room 6F #89-#94 Wednesday, October 17, 6:00-7:00 pm, Concurrent Platform Session C: 33. -