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Tumor marker expression is predictive of survival in patients with esophageal cancer  Thomas A Aloia, MD, David H Harpole, MD, Carolyn E Reed, MD, Carmen.

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Presentation on theme: "Tumor marker expression is predictive of survival in patients with esophageal cancer  Thomas A Aloia, MD, David H Harpole, MD, Carolyn E Reed, MD, Carmen."— Presentation transcript:

1 Tumor marker expression is predictive of survival in patients with esophageal cancer 
Thomas A Aloia, MD, David H Harpole, MD, Carolyn E Reed, MD, Carmen Allegra, PhD, Mary-Beth H Moore, BA, James E Herndon, PhD, Thomas A D’Amico, MD  The Annals of Thoracic Surgery  Volume 72, Issue 3, Pages (September 2001) DOI: /S (01)

2 Fig 1 Representative samples of immunohistochemically stained esophageal tumor specimens. Areas of brown coloration indicate immunohistochemical marker staining. Antibodies included are (clockwise from upper left) p53, Her2-neu, glutathione S-transferase-π, and P-glycoprotein. All photomicrographs were imaged at ×40. (GST-π = glutathione S-transferase-π; P-gp = p-glycoprotein.) The Annals of Thoracic Surgery  , DOI: ( /S (01) )

3 Fig 2 Cancer-specific survival analysis for the entire cohort plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. The Annals of Thoracic Surgery  , DOI: ( /S (01) )

4 Fig 3 Cancer-specific survival analysis comparing patients with T1, T2, and T3 esophageal tumors plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. The Annals of Thoracic Surgery  , DOI: ( /S (01) )

5 Fig 4 (A) Cancer-specific survival analysis comparing patients with low-level expression of P-glycoprotein (P-gp) versus those with P-glycoprotein high-level expression, plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. (B) Cancer-specific survival analysis comparing patients with low-level expression of transforming growth factor-α (TGF-α) versus those with transforming growth factor-α high-level expression, plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. (C) Cancer-specific survival analysis comparing patients with low-level expression of glutathione S-transferase-π (GST-π) versus those with glutathione S-transferase-π high-level expression, plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. (D) Cancer-specific survival analysis comparing patients with low-level expression of p53 versus those with p53 high-level expression, plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. (E) Cancer-specific survival analysis comparing patients with low expression of factor VIII versus those with factor VIII high-level expression, plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. Number of patients at risk at 1-, 3-, and 5-year intervals is given along the x-axis. The Annals of Thoracic Surgery  , DOI: ( /S (01) )

6 Fig 5 Cancer-specific survival analysis comparing patient groups determined by the number of negative prognostic markers present (0, 1 to 2, 3, and 4 markers), plotted as percent survival versus time in months (mo.) using the Kaplan-Meier product limit estimator. The Annals of Thoracic Surgery  , DOI: ( /S (01) )

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