Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Christopher B. Umbricht"'
Autor:
Bonita H. Powell, Andrey Turchinovich, Yongchun Wang, Olesia Gololobova, Dominik Buschmann, Martha A. Zeiger, Christopher B. Umbricht, Kenneth W. Witwer
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 5, p 4507 (2023)
Hypoxia, or low oxygen tension, is frequently found in highly proliferative solid tumors such as anaplastic thyroid carcinoma (ATC) and is believed to promote resistance to chemotherapy and radiation. Identifying hypoxic cells for targeted therapy ma
Externí odkaz:
https://doaj.org/article/bbb25e9699864a5985ce460e0976466e
Publikováno v:
Molecular Oncology, Vol 14, Iss 10, Pp 2355-2357 (2020)
Telomerase regulation, including TERT promoter methylation, has been of long‐standing interest to cancer biologists. Rowland et al. have now vastly expanded their ongoing characterization of TERT promoter methylation in cancer cells, analyzing the
Externí odkaz:
https://doaj.org/article/1997f0563caf450bb268c7c93f2f7a66
Publikováno v:
Frontiers in Endocrinology, Vol 11 (2020)
Telomerase reverse transcriptase (TERT) is the catalytic subunit of the enzyme telomerase and is essential for telomerase activity. Upregulation of TERT expression and resulting telomerase activity occurs in the large majority of malignancies, includ
Externí odkaz:
https://doaj.org/article/0d3eaa6dd6ee44a3b8773c0f338f8f09
Autor:
Michael A. Jacobs, Christopher B. Umbricht, Vishwa S. Parekh, Riham H. El Khouli, Leslie Cope, Katarzyna J. Macura, Susan Harvey, Antonio C. Wolff
Publikováno v:
Cancers, Vol 12, Iss 10, p 2772 (2020)
Optimal use of multiparametric magnetic resonance imaging (mpMRI) can identify key MRI parameters and provide unique tissue signatures defining phenotypes of breast cancer. We have developed and implemented a new machine-learning informatic system, t
Externí odkaz:
https://doaj.org/article/3d04e0f122c742aca4ee72695c9d1589
Publikováno v:
Frontiers in Endocrinology, Vol 9 (2018)
The need for distinguishing benign from malignant thyroid nodules has led to the pursuit of differentiating molecular markers. The most common molecular tests in clinical use are Afirma® Gene Expression Classifier (GEC) and Thyroseq® V2. Despite th
Externí odkaz:
https://doaj.org/article/592607abbf3447f9915e48fe2dddea9f
Autor:
Kala Visvanathan, Leslie Cope, Mary Jo Fackler, Michael Considine, Lori Sokoll, Lisa A. Carey, Andres Forero-Torres, James N. Ingle, Nancy U. Lin, Rita Nanda, Anna Maria Storniolo, Suzana Tulac, Neesha Venkatesan, Natalie C. Wu, Sudhakar Marla, Scott Campbell, Michael Bates, Christopher B. Umbricht, Antonio C. Wolff, Saraswati Sukumar
Publikováno v:
Clinical Cancer Research. 29:784-790
Purpose:We previously demonstrated that high levels of circulating methylated DNA are associated with subsequent disease progression in women with metastatic breast cancer (MBC). In this study, we evaluated the clinical utility of a novel liquid biop
Autor:
Mary Jo Fackler, Suzana Tulac, Neesha Venkatesan, Adam J. Aslam, Timothy N. de Guzman, Claudia Mercado-Rodriguez, Leslie M. Cope, Bradley M. Downs, Abdul Hussain Vali, Wanjun Ding, Jennifer Lehman, Rita Denbow, Jeffrey Reynolds, Morgan E. Buckley, Kala Visvanathan, Christopher B. Umbricht, Antonio C. Wolff, Vered Stearns, Michael Bates, Edwin W. Lai, Saraswati Sukumar
Publikováno v:
Cancer Res Commun
Current molecular liquid biopsy assays to detect recurrence or monitor response to treatment require sophisticated technology, highly trained personnel, and a turnaround time of weeks. We describe the development and technical validation of an automa
Autor:
Saraswati Sukumar, Edwin W. Lai, Michael Bates, Vered Stearns, Antonio C. Wolff, Christopher B. Umbricht, Kala Visvanathan, Morgan E. Buckley, Jeffrey Reynolds, Rita Denbow, Jennifer Lehman, Wanjun Ding, Abdul Hussain Vali, Bradley M. Downs, Leslie M. Cope, Claudia Mercado-Rodriguez, Timothy N. de Guzman, Adam J. Aslam, Neesha Venkatesan, Suzana Tulac, Mary Jo Fackler
The table provides a step by step guide to calculate methylation in each gene followed by cumulative methylation using the algorithm derived in this paper.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c0f0db05a9f6502f4054894de57a4c7
https://doi.org/10.1158/2767-9764.22544640.v1
https://doi.org/10.1158/2767-9764.22544640.v1
Autor:
Saraswati Sukumar, Edwin W. Lai, Michael Bates, Vered Stearns, Antonio C. Wolff, Christopher B. Umbricht, Kala Visvanathan, Morgan E. Buckley, Jeffrey Reynolds, Rita Denbow, Jennifer Lehman, Wanjun Ding, Abdul Hussain Vali, Bradley M. Downs, Leslie M. Cope, Claudia Mercado-Rodriguez, Timothy N. de Guzman, Adam J. Aslam, Neesha Venkatesan, Suzana Tulac, Mary Jo Fackler
Figure shows the perfomance of LBx-BCM in the training set samples. A histogram shows cumulative methylation for each sample, and a box plot shows significnt difference of methylation in serum of metastatic breast cancer patients compared to normal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55fbbfde44501db0c5e89a259d2120e9
https://doi.org/10.1158/2767-9764.22544652
https://doi.org/10.1158/2767-9764.22544652
Autor:
Saraswati Sukumar, Edwin W. Lai, Michael Bates, Vered Stearns, Antonio C. Wolff, Christopher B. Umbricht, Kala Visvanathan, Morgan E. Buckley, Jeffrey Reynolds, Rita Denbow, Jennifer Lehman, Wanjun Ding, Abdul Hussain Vali, Bradley M. Downs, Leslie M. Cope, Claudia Mercado-Rodriguez, Timothy N. de Guzman, Adam J. Aslam, Neesha Venkatesan, Suzana Tulac, Mary Jo Fackler
Current molecular liquid biopsy assays to detect recurrence or monitor response to treatment require sophisticated technology, highly trained personnel, and a turnaround time of weeks. We describe the development and technical validation of an automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::149cae505222e663985c162ddc1acce1
https://doi.org/10.1158/2767-9764.c.6550710
https://doi.org/10.1158/2767-9764.c.6550710