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Supplemental material for Misclassification simulation extrapolation method for a Weibull accelerated failure time model
- Authors
- Sevilimedu Veeravalli, Srinivasa VardanYu, LiliSamawi, 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...
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Colonic NeoplasmsComputer SimulationData Interpretation, StatisticalSurvival Analysis
- Access Rights
- Free to All
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Simulation Results: Survival Impact of Treatment and Imaging Modalities for 11 Cancers in 200 Countries
- Authors
- Ward, Zachary J.Scott, AndrewHricak, HedvigAbdel-Wahab, May5 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
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Models, StatisticalNeoplasms/diagnostic imagingSurvival Analysis
- Access Rights
- Free to All
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Global proteome analysis of paired colorectal cancer sample using LC-MS/MS
- Authors
- Tanaka, AtsushiRoehrl, 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
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Biomarkers, TumorColorectal NeoplasmsLiquid Chromatography-Mass SpectrometryMucous MembraneProlyl HydroxylasesSurvival Analysis
- Access Rights
- Free to All
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Integrin-α10-dependency defines a novel therapeutic strategy targeting RAC and mTORC2 for metastatic myxofibrosarcoma
- Authors
- Lee, Ann Y.Okada, TomoyoAgaram, NarasimhanQin, Li-Xuan11 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
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FibrosarcomaIntegrin alpha ChainsNeoplasm MetastasisSurvival Analysis
- Access Rights
- Free to All