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Full-Text Articles in Medical Sciences
Harnessing The Effect Of Adoptively Transferred Tumor-Reactive T Cells On Endogenous (Host-Derived) Antitumor Immunity, Yolanda Nesbeth, Jose R. Conejo-Garcia
Harnessing The Effect Of Adoptively Transferred Tumor-Reactive T Cells On Endogenous (Host-Derived) Antitumor Immunity, Yolanda Nesbeth, Jose R. Conejo-Garcia
Dartmouth Scholarship
Adoptive T cell transfer therapy, the ex vivo activation, expansion, and subsequent administration of tumor-reactive T cells, is already the most effective therapy against certain types of cancer. However, recent evidence in animal models and clinical trials suggests that host conditioning interventions tailored for some of the most aggressive and frequent epithelial cancers will be needed to maximize the benefit of this approach. Similarly, the subsets, stage of differentiation, and ex vivo expansion procedure of tumor-reactive T cells to be adoptively transferred influence their in vivo effectiveness and may need to be adapted for different types of cancer and host …
Breast Cancer Dna Methylation Profiles Are Associated With Tumor Size And Alcohol And Folate Intake, Brock C. Christensen, Karl T. Kelsey, Shichun Zheng, E. Andres Houseman, Carmen J. Marsit, Margaret R. Wrensch, Joseph L. Wiemels, Heather H. Nelson, Margaret R. Karagas
Breast Cancer Dna Methylation Profiles Are Associated With Tumor Size And Alcohol And Folate Intake, Brock C. Christensen, Karl T. Kelsey, Shichun Zheng, E. Andres Houseman, Carmen J. Marsit, Margaret R. Wrensch, Joseph L. Wiemels, Heather H. Nelson, Margaret R. Karagas
Dartmouth Scholarship
Although tumor size and lymph node involvement are the current cornerstones of breast cancer prognosis, they have not been extensively explored in relation to tumor methylation attributes in conjunction with other tumor and patient dietary and hormonal characteristics. Using primary breast tumors from 162 (AJCC stage I-IV) women from the Kaiser Division of Research Pathways Study and the Illumina GoldenGate methylation bead-array platform, we measured 1,413 autosomal CpG loci associated with 773 cancer-related genes and validated select CpG loci with Sequenom EpiTYPER. Tumor grade, size, estrogen and progesterone receptor status, and triple negative status were significantly (Q-values <0.05) associated with altered methylation of 209, 74, 183, 69, and 130 loci, respectively. Unsupervised clustering, using a recursively partitioned mixture model (RPMM), of all autosomal CpG loci revealed eight distinct methylation classes. Methylation class membership was significantly associated with patient race (P<0.02) and tumor size (P<0.001) in univariate tests. Using multinomial logistic regression to adjust for potential confounders, patient age and tumor size, as well as known disease risk factors of alcohol intake and total dietary folate, were all significantly (P<0.0001) associated with methylation class membership. Breast cancer prognostic characteristics and risk-related exposures appear to be associated with gene-specific tumor methylation, as well as overall methylation patterns.