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MicroRNA Expression Profiling of Esophageal Cancer Before and After Induction Chemoradiotherapy  Michael Augustine Ko, MD, PhD, Guan Zehong, MS, Carl.

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Presentation on theme: "MicroRNA Expression Profiling of Esophageal Cancer Before and After Induction Chemoradiotherapy  Michael Augustine Ko, MD, PhD, Guan Zehong, MS, Carl."— Presentation transcript:

1 MicroRNA Expression Profiling of Esophageal Cancer Before and After Induction Chemoradiotherapy 
Michael Augustine Ko, MD, PhD, Guan Zehong, MS, Carl Virtanen, MS, Maha Guindi, MD, Thomas K. Waddell, MD, PhD, Shaf Keshavjee, MD, MS, Gail E. Darling, MD  The Annals of Thoracic Surgery  Volume 94, Issue 4, Pages (October 2012) DOI: /j.athoracsur Copyright © 2012 The Society of Thoracic Surgeons Terms and Conditions

2 Fig 1 Experimental design. (miRNA = microRNA; pCR = pathologic complete response.) The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2012 The Society of Thoracic Surgeons Terms and Conditions

3 Fig 2 (A) Unsupervised hierarchical cluster analysis using full gene set of 1,536 miRNA sequences extracted from preoperative biopsy specimens. Inset shows detail from main heat map. Each column represents a sample; categorical variable is pathologic complete response (pCR), listed at bottom of inset. (B) Supervised hierarchical cluster analysis using 71 genes whose expression was significantly altered between pCR and non-pCR preoperative biopsy specimens. Categorical variable is pCR, listed at bottom of inset. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2012 The Society of Thoracic Surgeons Terms and Conditions

4 Fig 3 (A) Unsupervised hierarchical cluster analysis using full gene set of 1,536 miRNA sequences extracted from postoperative surgical specimens. Inset demonstrates detail from main heat map. Each column represents a sample; categorical variable is pathologic complete response (pCR), listed at bottom of inset. (B) Supervised hierarchical cluster analysis using 52 genes whose expression was significantly altered between pCR and non-pCR specimens. Categorical variable is pCR, listed at bottom of inset. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2012 The Society of Thoracic Surgeons Terms and Conditions

5 Fig 4 (A) Unsupervised hierarchical cluster analysis using full gene set of 1,536 miRNA sequences extracted from preoperative and postoperative specimens. Inset demonstrates detail from main heat map. Each column represents a sample; categorical variable is pretreatment and posttreatment, listed at bottom of inset. (B) Supervised hierarchical cluster analysis using 568 genes whose expression was significantly altered between pretreatment and posttreatment specimens. Categorical variable is pretreatment and posttreatment, listed at bottom of inset. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2012 The Society of Thoracic Surgeons Terms and Conditions

6 Fig 5 (A) Overall survival for entire 25-patient cohort. Curve generated by method of Kaplan-Meier. (B) Overall disease-free survival (DFS). (C) DFS stratified by pCR. Trend toward improved DFS in pCR group (p = 0.19). (D) DFS stratified by miR-145 expression. Improved survival in the low miR-145 expression group (n = 8; p = 0.04). (E) DFS stratified by miR-135b expression. Improved survival in the high miR-135b expression group (n = 8; p = 0.04). The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2012 The Society of Thoracic Surgeons Terms and Conditions

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