Supplementary Materials

Supplementary Material for:

A Molecular Signature Predictive of Indolent Prostate Cancer

Shazia Irshad, Mukesh Bansal, Mireia Castillo-Martin, Tian Zheng, Alvaro Aytes, Sven Wenske, Clémentine Le Magnen, Paolo Guarnieri, Pavel Sumazin, Mitchell C. Benson, Michael M. Shen, Andrea Califano,* Cory Abate-Shen*

*Corresponding author. E-mail: califano@c2b2.columbia.edu (A.C.); cabateshen@columbia.edu (C.A.-S.)

Published 11 September 2013, Sci. Transl. Med. 5, 202ra122 (2013)
DOI: 10.1126/scitranslmed.3006408

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Supplementary GSEA data for human cancer.
  • Fig. S2. Phenotypic analysis of a mouse model of indolent prostate cancer.
  • Fig. S3. Supplementary data for the decision tree learning model and k-means clustering.
  • Fig. S4. Confusion matrices for top-ranked three-gene combinations from the decision tree learning model.
  • Fig. S5. Supplementary Kaplan-Meier analyses comparing the 19-gene indolence signature and the top three-gene combinations from the decision tree learning model.
  • Fig. S6. Supplementary Kaplan-Meier analyses for the single genes in the three-gene panel.
  • Fig. S7. Immunostaining of three-gene panel comparing biopsies and primary tumors.
  • Fig. S8. Kaplan-Meier analyses comparing the three-gene panel with biomarkers from Ding et al. (46) and Cuzick et al. (24).
  • Decision tree analysis to identify the best gene combinations Unsupervised clustering analysis using k-means clustering and Kaplan-Meier survival analysis Table S7. SWEAVE documents.
  • Table S8. REporting of tumor MARKing studies (REMARK summary).
  • References (57–61)

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Other Supplementary Material for this manuscript includes the following:

[Table S1] (Microsoft Excel format). Description of the 377-gene set of aging and senescence.

[Table S2] (Microsoft Excel format). Description of patient samples used in this study.

[Table S3] (Microsoft Excel format). Leading/lagging-edge genes from the GSEA analyses.

[Table S4] (Microsoft Excel format). Integrative analyses of the 377-gene set.

[Table S5] (Microsoft Excel format). Description of the 19-gene indolence signature.

[Table S6] (Microsoft Excel format). Three-gene combinations from the decision tree learning model.