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Stan Pounds, PhD
Stan Pounds, PhD


BS – Harding University, Searcy, Arkansas (1997)
PhD – Texas A&M University, College Station, Texas (2002)

Research Interests

I develop statistical methods for various problems that arise in cancer genomics research.  Currently, my primary interests are in developing methods to integrate multiple pharmacologic and clinical endpoints with multiple forms of genomic data.  I am also interested in developing methods to identify genomic alterations that are biologically and clinically relevant.

Selected Publications

Alexander TB, Gu Z, Choi JK, Iacobucci I, Dickerson K, Loh ML, Horan J, Buldini B, Basso G, Elitzur S, de Haas V, Zwaan CM, Yeoh A, Reinhardt D, Tomizawa D, Kiyokawa N, Lammens T, De Moerloose B, Zhou L, Hori H, Moorman A, Moore AS, Hrusak O, Meschinchi S, Orgel E, Devidas M, Borowitz M, Wood B, Heerema NA, Carrol A, Yang Y-L, Smith MA, Davidsen TM, Hermida LC, Gesuwan P, Marra MA, Ma Y, Mungall AJ, Moore RA, Jones SJM, Dang L, Newman S, Liu Y, Zhang J, Nichols KE, Downing JR, Cao X, Shi L, Pounds S, Pei D, Auvil JMG, Gerhard DS, Hunger SP, Inaba H, Mullighan CG (2018).  The genetic basis and cell of origin of mixed phenotype acute leukaemia. Nature.  2018 Sep 12.  PMID: 30209392.

Rubnitz JE, Lacayo NJ, Inaba H, Heym K, Ribeiro RC, Taub J, McNeer J, Degar B, Schiff D, Yeoh AE, Coustan-Smith E, Wang L, Triplett B, Raimondi SC, Klco J, Choi J, Pounds S, Pui CH.  Clofarabine Can Replace Anthracyclines and Etoposide in Remission Induction Therapy for Childhood Acute Myeloid Leukemia: The AML08 Multicenter, Randomized Phase III Trial.  Journal of Clinical Oncology, 2019 Aug 10;37(23):2072-2081.

Ma X, Liu Y, Liu Y, Alexandrov LB, Edmonson MN, Gawad C, Zhou X, Li Y, Rusch MC, Easton J, Huether R, Gonzalez-Pena V, Wilkinson MR, Hermida LC, Davis S, Sioson E, Pounds S, Cao X, Ries RE, Wang Z, Chen X, Dong L, Diskin SJ, Smith MA, Guidry Auvil JM, Meltzer PS, Lau CC, Perlman EJ, Maris JM, Meshinchi S, Hunger SP, Gerhard DS, Zhang J. Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours. Nature. 2018 Mar 15;555(7696):371-376. doi: 10.1038/nature25795. Epub 2018 Feb 28. PubMed PMID: 29489755.

Liu Y, Easton J, Shao Y, Maciaszek J, Wang Z, Wilkinson MR, Mccastlain K, Edmonson M, Pounds SB, Shi L, Zhou X, Ma Xi, Sioson E, Li Y, Rusch M, Gupta P, Pei D, Cheng C, Smith MA, Auvil JG, Gerhard DS, Relling MV, Winick NJ, Carroll AJ, Heerema NA, Raetz E, Devidas M, Wilman CL, Harvey RC, Carroll WL, Dunsmore KP, Winter SS, Wood BL, Sorrentino BP, Downing JR, Lo ML, Hunger SP, Zhang J, Mullighan CG. The Genomic Landscape of Pediatric and Young Adult T-Lineage Acute Lymphoblastic Leukemia. Nature Genetics 49:1211-1218, 2017.

Pinto EM, Rodriguez-Galindo C, Pounds S, Wang L, Clay MR, Neale G, Garfinkle EAR, Lam CG, Levy CF, Pappo AS, Zambetti GP, Ribeiro RC. Identification of Clinical and Biological Correlates Associated with Outcome in Children with Adrenocortical Tumors without Germline TP53 Mutations: A St. Jude Adrenocortical Tumor Registry and Children’s Oncology Group Study. Journal of Clinical Oncology 35:3956-3963, 2017.

Alexander TB, Wang L, Inaba H, Triplett BM, Pounds S, Riberio RC, Pui C-H, Rubnitz JE. Decreased relapsed rate and treatment related mortality contribute to improved outcomes for pediatric acute myeloid leukemia on successive clinical trials. Cancer 23:3791-3798, 2017.

Ramsey LB, Pounds S, Cheng C, Cao X, Yang W, Smith C, Karol SE, Liu C, Panetta JC, Inaba H, Rubnitz JE, Metzger ML, Ribeiro RC, Sandlund JT, Jeha S, Pui C-H, Evans WE, Relling MV. Genetics of Pleiotropic Effects of Dexamethasone. Pharmacogenetics and Genomics 27:294-302, 2017.

Zhu L, Poppleton H, Finkelstein D, Gao CL, Shi L, Wang Y-D, Terrada LT, Wang K, Utley S, Pounds S, Neale G, Ellison DW, Onar-Thomas A, Gilbertson RJ. Multi-organ mapping of cancer risk. Cancer Cell 166:1132-1146, 2016.  

Cao X, Crews KR, Downing J, Lamba J, Pounds SB. CC-PROMISE Effectively Integrates Two Forms of Molecular Data with Multiple Biologically Related Endpoints. BMC Bioinformatics 17:382, 2016.

Pawlikowska I, Wu G, Edmonson M, Liu Z, Gruber T, Zhang J, Pounds S. The Most Informative Spacing Test Effectively Discovers Biologically Relevant Outliers or Multiple Modes in Expression. Bioinformatics 30:1400-1408, 2014.

Pounds S, Cheng C, Li S, Liu Z, Zhang J, Mullighan C. A Genomic Random Interval Model for Statistical Analysis of Genomic Lesion Data. Bioinformatics 29:2088-95, 2013.

Last update: October 2019