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Background and Hypothesis:Thymic Epithelial Tumors are uncommon tumors of the anterior mediastinum composed ofthymomas and thymic carcinomas (TC). TC’s are known to have worse disease outcomes andlower rates of survival in comparison to thymomas and are suspected to have lower responserates to chemotherapy as well. As these tumors are rare, little data exists assessing the trueefficacy of chemotherapeutic regimens for TC patients. Due to this lack of data, and that theIndiana University Health Simon Cancer Center treats a high percentage of TET patients, adatabase of these patients covering a variety different disease characteristics and treatmentshas been established. We hypothesize, upon evaluation of this database, response rates toanthracycline based regimens (PAC) will be superior to non-anthracycline based regimens (i.e.,PE, Carbo/Taxol) for TC patients. Methods:In this project, a collection of patients seen by Dr. Patrick Loehrer and/or Dr. Kenneth Keslerwas acquired, and a database was created using these patients in RedCap. Once established,we evaluated patient medical records in Cerner and entered data related to diseasecharacteristics and treatments. These patients were then analyzed accordingly to evaluatechemotherapy response rates. Results:The database yielded 123 instances of chemotherapy treatment for TC. Of which, the mostpopular treatments were PAC and Carbo/Taxol. The data suggests that PAC generates a higherresponse rate (65.5%) than other therapies (Carbo/Taxol: 27.6%, PE: 58.3%, etc.). Therefore,there is evidence that anthracycline based regimens may be more effective at generatingresponse rates in comparison to non-anthracycline based regimens. Conclusion and Potential Impact:This project will help elucidate the effectiveness of recommended systemic therapies for thymiccarcinoma patients from one of the largest TET databases constructed. Ultimately, we hope thatwith clarity of the effectiveness of treatment, this can serve as a reliable reference for evidencebasedmedicine for the care of TC patients. |
