Tissue Microarray Data Analyzed for Physicians and Scientists

A statistical tool for tissue microarray data analysis has been developed especially for pathologists, clinicians, and scientists.

TMA Foresight can be used for a wide variety of analyses ranging from simple descriptive statistics that include mean, sum, and variance to more advanced data correlation such as hierarchical clustering and Kaplan Meier plots. Cox's Proportional Hazard analysis can be used for prognostic marker identification. Hierarchical clustering can be used to group patients on the basis of a clinico-pathologic parameter or a biomarker. Kaplan-Meier plots and log-rank tests can then be used to identify prognostically significant clusters. A particular marker can be used as a threshold to stratify patients into high risk and low risk cohorts.

Premier Biosoft International (Palo Alto, CA, USA) produced TMA Foresight, which not only analyzes data but interprets it enabling easy data pre-processing. It helps map the character data to numeric values with a click of a button. Moreover, the measurement level of each variable can be conveniently defined for use in different statistical analysis.

In a typical TMA study, every core is associated with data elements such as the core image and patient demographics. Such an experiment calls for an extensive tissue microarray data management and analysis tool to draw valid inferences from the data generated. TMA Foresight is a data analysis tool that uses well-established statistical techniques to interpret the results of a TMA experiment.

The data are categorized, replaced, or ignored from a single screen. Missing data are easily filled up depending on the measurement level chosen, ensuring completeness of data for further analysis.



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