The Single Patient Matching module is available for both stem cell transplantation (SCT) and solid organ transplantation (SOT). It allows you to match multiple donors with your patient and to compare the results. The result table can be filtered quickly and sorted however you like. If you want to dive deep into the data, check out the interactive heatmap and peptide tables for every single match.
The color-code in the heatmap indicates which HLA mismatches strongly contribute to the PIRCHE score of a particular HLA presenter.
You don’t have direct access to a stem cell donor registry? No worries. With our SCT Search Profile, you can identify low-epitope-mismatched HLA mismatches to guide your search facility.
Even better, the Search Profile also allows you to estimate the likelihood of finding a donor with an HLA mismatch resulting in a low PIRCHE score.
The combined chart and table view, allows you to quickly find preferable HLA mismatches.
With our SOT Acceptable Mismatch Profile you can check each mismatches’ individual contribution to the overall PIRCHE score. Our SOT Risk Profile on the other hand matches a whole donor population with your patient. This allows esitmating average PIRCHE scores in your donor pool.
Both features are combined in our newest matching module: RAMP. With RAMP, you can interactively evaluate acceptabe mismatches and estimate the impact of unacceptable mismatches on the overall donor frequency.
The histogram of the Risk Profile visualizes the donor frequency dependent of the PIRCHE score. The higher the frequency for low PIRCHE bars, the better the chances of finding a well-PIRCHE-matched donor.
The T-cell memory (Tmem) update to our RAMP module allows for a distinction between “unacceptable mismatches” and “previous immunizers”. To add/remove an allele to/from the set of previous immunizers, right click on the respective bar in the bar chart. Selecting/unselecting an allele as an unacceptable mismatch remains the same: simply left click the respective bar.
Previous immunizers are considered as a reference peptide set against which all remaining common alleles are compared. Any overlap between this reference set and the peptides of these alleles are plotted as an orange bar within the mismatch bar charts. Such an overlap might potentially point to a previous T-cell response creating memory T-cells. Avoiding re-exposure to such proteins might therefore be beneficial, suggesting certain donor/recipient combinations should be avoided. Be aware though that the impact is across loci – so selecting an HLA-B as a previous immunizer will probably also highlight plenty of A alleles that overlap with the selected immunizer. This offers a new, crucial dimension of analysis when identifying the best possible match for your transplant patients.
