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Expression Levels of KMT2C and SLC20A1 Identified by Information-theoretical Analysis Are Powerful Prognostic Biomarkers in Estrogen Receptor-positive.

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Presentation on theme: "Expression Levels of KMT2C and SLC20A1 Identified by Information-theoretical Analysis Are Powerful Prognostic Biomarkers in Estrogen Receptor-positive."— Presentation transcript:

1 Expression Levels of KMT2C and SLC20A1 Identified by Information-theoretical Analysis Are Powerful Prognostic Biomarkers in Estrogen Receptor-positive Breast Cancer  Keiko Sato, Kazunori Akimoto  Clinical Breast Cancer  Volume 17, Issue 3, Pages e135-e142 (June 2017) DOI: /j.clbc Copyright © 2016 The Author(s) Terms and Conditions

2 Figure 1 Kaplan-Meier Survival Curves for 401 Patients With Estrogen Receptor-positive Breast Cancer. (A) KMT2C Messenger RNA Expression Status. (B) SLC20A1 Messenger RNA Expression Status Abbreviations: + = high; − = low. Clinical Breast Cancer  , e135-e142DOI: ( /j.clbc ) Copyright © 2016 The Author(s) Terms and Conditions

3 Figure 2 Kaplan-Meier Survival Curves for 401 Patients With Estrogen Receptor-positive Breast Cancer Stratified by KMT2C and SLC20A1 Expression Abbreviations: + = high; − = low. Clinical Breast Cancer  , e135-e142DOI: ( /j.clbc ) Copyright © 2016 The Author(s) Terms and Conditions

4 Figure 3 Kaplan-Meier Survival Curves for 344 Patients With Estrogen Receptor-positive Luminal Subtypes. (A) KMT2C Messenger RNA Expression Status and Luminal Subtype. (B) SLC20A1 Messenger RNA Expression Status and Luminal Subtype Abbreviations: + = high; − = low. Clinical Breast Cancer  , e135-e142DOI: ( /j.clbc ) Copyright © 2016 The Author(s) Terms and Conditions

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