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  • Supplemental material for Misclassification simulation extrapolation method for a Weibull accelerated failure time model

    Authors
    Sevilimedu Veeravalli, Srinivasa Vardan
    Yu, Lili
    Samawi, Hani
    Description

    This dataset carries out simulation studies to investigate the impact of misclassification simulation extrapolation method on a Weibull accelerated failure time model. The proposed method is then applied to colon cancer data obtained from the cancer registry at Memorial Sloan Kettering Cancer Center. This dataset provides the simulation results with n=1000 for section 4.2 – section 4.6 in the associated...

    Subject
    Colonic Neoplasms
    Computer Simulation
    Data Interpretation, Statistical
    Survival Analysis
    Access Rights
    Free to All
  • Simulation Results: Survival Impact of Treatment and Imaging Modalities for 11 Cancers in 200 Countries

    Authors
    Ward, Zachary J.
    Scott, Andrew
    Hricak, Hedvig
    Abdel-Wahab, May
    5 more author(s)...
    Description

    Simulation results (means and 95% uncertainty intervals) for 11 cancer sites, 4 cancer stages, and 5 age groups. Includes survival estimates for cancer control planning across 200 countries. Data estimates the 5-year net survival for diagnosed cancers in each country or territory and estimated potential survival gains from increasing the availability of individual treatment and imaging modalities,...

    Subject
    Models, Statistical
    Neoplasms/diagnostic imaging
    Survival Analysis
    Access Rights
    Free to All
  • Global proteome analysis of paired colorectal cancer sample using LC-MS/MS

    Authors
    Tanaka, Atsushi
    Roehrl, Michael H.
    Description

    Description from PRIDE: "To find differentially expressed protein in colorectal cancer compared with normal colon tissue, we performed global proteome analysis using LC-MS."

    Subject
    Biomarkers, Tumor
    Colorectal Neoplasms
    Liquid Chromatography-Mass Spectrometry
    Mucous Membrane
    Prolyl Hydroxylases
    Survival Analysis
    Access Rights
    Free to All
  • Integrin-α10-dependency defines a novel therapeutic strategy targeting RAC and mTORC2 for metastatic myxofibrosarcoma

    Authors
    Lee, Ann Y.
    Okada, Tomoyo
    Agaram, Narasimhan
    Qin, Li-Xuan
    11 more author(s)...
    Description

    Summary from GEO: "Analysis of U133A microarray data from 64 primary high-grade tumors identified ITGA10 as the gene most significantly associated with distant metastasis and poor disease-specific survival. Further investigation using shRNA knockdown identifies the TRIO-RAC-PAK and RICTOR-mTORC2 pathways as important downstream signaling pathways for ITGA10." Overall design from GEO: "RNA samples...

    Subject
    Fibrosarcoma
    Integrin alpha Chains
    Neoplasm Metastasis
    Survival Analysis
    Access Rights
    Free to All