Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
The E2f4 Prognostic Signature Predicts Pathological Response To Neoadjuvant Chemotherapy In Breast Cancer Patients, Kenneth M. K. Mark, Frederick S. Varn, Matthew H. Ung, Feng Qian, Chao Cheng
The E2f4 Prognostic Signature Predicts Pathological Response To Neoadjuvant Chemotherapy In Breast Cancer Patients, Kenneth M. K. Mark, Frederick S. Varn, Matthew H. Ung, Feng Qian, Chao Cheng
Dartmouth Scholarship
Neoadjuvant chemotherapy is a key component of breast cancer treatment regimens and pathologic complete response to this therapy varies among patients. This is presumably due to differences in the molecular mechanisms that underlie each tumor’s disease pathology. Developing genomic clinical assays that accurately categorize responders from non-responders can provide patients with the most effective therapy for their individual disease. We applied our previously developed E2F4 genomic signature to predict neoadjuvant chemotherapy response in breast cancer. E2F4 individual regulatory activity scores were calculated for 1129 patient samples across 5 independent breast cancer neoadjuvant chemotherapy datasets. Accuracy of the E2F4 signature in …
Integrative Analysis Of Survival-Associated Gene Sets In Breast Cancer, Frederick S. Varn, Matthew H. Ung, Shao Ke Lou, Chao Cheng
Integrative Analysis Of Survival-Associated Gene Sets In Breast Cancer, Frederick S. Varn, Matthew H. Ung, Shao Ke Lou, Chao Cheng
Dartmouth Scholarship
Patient gene expression information has recently become a clinical feature used to evaluate breast cancer prognosis. The emergence of prognostic gene sets that take advantage of these data has led to a rich library of information that can be used to characterize the molecular nature of a patient’s cancer. Identifying robust gene sets that are consistently predictive of a patient’s clinical outcome has become one of the main challenges in the field. We inputted our previously established BASE algorithm with patient gene expression data and gene sets from MSigDB to develop the gene set activity score (GSAS), a metric that …
Genome-Wide Dna Methylation Profiles In Progression To In Situ And Invasive Carcinoma Of The Breast With Impact On Gene Transcription And Prognosis, Thomas Fleischer, Arnoldo Frigessi, Kevin C. Johnson, Hege Edvardsen, Nizar Touleimat, Jovana Klajic, Margit Lh Riis, Vilde D. Haakensen, Fredrik Wärnberg, Bjørn Naume, Åslaug Helland, Anne-Lise Børresen-Dale, Jörg Tost, Brock C. Christensen, Vessela N. Kristensen
Genome-Wide Dna Methylation Profiles In Progression To In Situ And Invasive Carcinoma Of The Breast With Impact On Gene Transcription And Prognosis, Thomas Fleischer, Arnoldo Frigessi, Kevin C. Johnson, Hege Edvardsen, Nizar Touleimat, Jovana Klajic, Margit Lh Riis, Vilde D. Haakensen, Fredrik Wärnberg, Bjørn Naume, Åslaug Helland, Anne-Lise Børresen-Dale, Jörg Tost, Brock C. Christensen, Vessela N. Kristensen
Dartmouth Scholarship
Background: Ductal carcinoma in situ (DCIS) of the breast is a precursor of invasive breast carcinoma. DNA methylation alterations are thought to be an early event in progression of cancer, and may prove valuable as a tool in clinical decision making and for understanding neoplastic development. Results: We generate genome-wide DNA methylation profiles of 285 breast tissue samples representing progression of cancer, and validate methylation changes between normal and DCIS in an independent dataset of 15 normal and 40 DCIS samples. We also validate a prognostic signature on 583 breast cancer samples from The Cancer Genome Atlas. Our analysis reveals …