Dissertations & Theses (Open Access)

Date of Award

12-2020

Degree Name

Master of Science (MS)

Advisor(s)

Ashraf Yaseen

Second Advisor

Stacia Desantis

Third Advisor

Han Chen

Abstract

Hematologic malignancies are cancers that develop in the blood, bone marrow, and lymph nodes. Hematopoietic stem cell transplantation (HSCT) is a critical therapeutic approach that contributes to offer a potential cure for hematologic cancers and other hematologic disorders by replacing abnormal bone marrow with healthy bone marrow components to help bone marrow function recovery. Peripheral blood is the primary resource for collecting hematopoietic stem cells (HSCs). The collection yield of HSCs is critical for successful transplantation. Few articles have discussed this topic that the collection of stem cells not only from healthy donors but also from donors with a hematologic or non-hematologic malignancy who likewise be in danger of mobilization failure. Therefore, our goal of this paper is to study the collection efficiency of obtaining HSCs. Correlations were measured by computing Spearman’s correlation coefficients. Trends were measured using the Jonckheere-Terpstra test. Differences in groups were measured using the Mann-Whitney U test. An all subsets selection model was built to compare to the model built with a purposeful variable selection method. We employed sensitivity analysis to compare the models and find the factors that influence the efficient collection. Our results showed that many factors contribute to an efficient collection (r2 = 0.6). However, all but one of these factors correlated very poorly with collection efficiency. It was the predicted total number of CD34+ progenitor cells that correlated most strongly with predicting collection efficiency. Our results showed that the patient's CD34+ cells could keep up at a sufficient level even after large volume apheresis. Also, adding or deduct drug (plerixafor) usage could cause the patient’s CD34+ level to increase or decrease. Overall, these discoveries will help to determine the mobilizing drug usages when harvesting HSCs.

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