Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Matthew R, Jensen"'
Autor:
Fredarla S. Miller, Kathryn K. Crone, Matthew R. Jensen, Sudipta Shaw, William R. Harcombe, Mikael H. Elias, Michael F. Freeman
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Borosins are ribosomally encoded and posttranslationally modified peptide (RiPP) natural products featuring amide-backbone α-N-methylation. Here, the authors report the discovery and characterization of type IV borosin ‘split’ pathways encoding
Externí odkaz:
https://doaj.org/article/09ca9420fa074e35a3fbd77a88dcba46
Autor:
Kathleen R. Brandt, Christopher G. Scott, Diana L. Miglioretti, Matthew R. Jensen, Amir P. Mahmoudzadeh, Carrie Hruska, Lin Ma, Fang Fang Wu, Steven R. Cummings, Aaron D. Norman, Natalie J. Engmann, John A. Shepherd, Stacey J. Winham, Karla Kerlikowske, Celine M. Vachon
Publikováno v:
Breast Cancer Research, Vol 21, Iss 1, Pp 1-10 (2019)
Abstract Background Given that breast cancer and normal dense fibroglandular tissue have similar radiographic attenuation, we examine whether automated volumetric density measures identify a differential change between breasts in women with cancer an
Externí odkaz:
https://doaj.org/article/aae76e65ae974cf59445e2636bdfc358
Autor:
Yiwey Shieh, Christopher G. Scott, Matthew R. Jensen, Aaron D. Norman, Kimberly A. Bertrand, V. Shane Pankratz, Kathleen R. Brandt, Daniel W. Visscher, John A. Shepherd, Rulla M. Tamimi, Celine M. Vachon, Karla Kerlikowske
Publikováno v:
Breast Cancer Research, Vol 21, Iss 1, Pp 1-9 (2019)
Abstract Background Obesity and elevated breast density are common risk factors for breast cancer, and their effects may vary by estrogen receptor (ER) subtype. However, their joint effects on ER subtype-specific risk are unknown. Understanding this
Externí odkaz:
https://doaj.org/article/25d2cb6ad40a44ccadac0343a0bebdc0
Autor:
Lusine Yaghjyan, Ethan Stoll, Karthik Ghosh, Christopher G. Scott, Matthew R. Jensen, Kathleen R. Brandt, Daniel Visscher, Celine M. Vachon
Publikováno v:
Breast Cancer Research, Vol 19, Iss 1, Pp 1-10 (2017)
Abstract Background Mammographic breast density is a well-established, strong breast cancer risk factor but the biology underlying this association remains unclear. Breast density may reflect underlying alterations in the size and activity of the bre
Externí odkaz:
https://doaj.org/article/ab3e0d74394440c6bad7e0b554ee18bf
Autor:
Celine M. Vachon, Christopher G. Scott, Aaron D. Norman, Sadia A. Khanani, Matthew R. Jensen, Carrie B. Hruska, Kathleen R. Brandt, Stacey J. Winham, Karla Kerlikowske
Publikováno v:
Journal of Clinical Oncology.
PURPOSE Artificial intelligence (AI) algorithms improve breast cancer detection on mammography, but their contribution to long-term risk prediction for advanced and interval cancers is unknown. METHODS We identified 2,412 women with invasive breast c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d43e59041670574d815498efa73c8b1
https://doi.org/10.1200/jco.22.01153
https://doi.org/10.1200/jco.22.01153
Autor:
Amy C. Degnim, Celine M. Vachon, Derek C. Radisky, Matthew R. Jensen, Stacey J. Winham, Jodi M. Carter, Daniel W. Visscher, Lori Denison, Marlene H. Frost, Tanya L. Hoskin, Suneetha Kaggal, Robert A. Vierkant, Mark E. Sherman
Over one million women in the United States receive biopsy diagnoses of benign breast disease (BBD) each year, which confer a 1.5–4.0-fold increase in breast cancer risk. Studies in the general population suggest that nonsteroidal anti-inflammatory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9b061fd459d42c259f3d3c1baf643e7
https://doi.org/10.1158/1940-6207.c.6547628.v1
https://doi.org/10.1158/1940-6207.c.6547628.v1
Autor:
Amy C. Degnim, Celine M. Vachon, Derek C. Radisky, Matthew R. Jensen, Stacey J. Winham, Jodi M. Carter, Daniel W. Visscher, Lori Denison, Marlene H. Frost, Tanya L. Hoskin, Suneetha Kaggal, Robert A. Vierkant, Mark E. Sherman
Supplementary Tables and Figures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3927a7c322071381c685bc0952247bc5
https://doi.org/10.1158/1940-6207.22534739
https://doi.org/10.1158/1940-6207.22534739
Autor:
Celine M. Vachon, Karla Kerlikowske, Steven R. Cummings, Andrew H. Beck, Lin Ma, Fang-Fang Wu, Bo Fan, Yunn-Yi Chen, John Shepherd, Fergus J. Couch, Daniel W. Visscher, Aaron D. Norman, V. Shane Pankratz, Matthew R. Jensen, Rulla M. Tamimi, Christopher G. Scott, Kimberly A. Bertrand
Background: Mammographic density (MD) is a strong breast cancer risk factor. We previously reported associations of percent mammographic density (PMD) with larger and node-positive tumors across all ages, and estrogen receptor (ER)–negative status
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c7fc02386b529bb5ffa9ee67033bfb3
https://doi.org/10.1158/1055-9965.c.6515367
https://doi.org/10.1158/1055-9965.c.6515367
Autor:
Celine M. Vachon, Karla Kerlikowske, Steven R. Cummings, Andrew H. Beck, Lin Ma, Fang-Fang Wu, Bo Fan, Yunn-Yi Chen, John Shepherd, Fergus J. Couch, Daniel W. Visscher, Aaron D. Norman, V. Shane Pankratz, Matthew R. Jensen, Rulla M. Tamimi, Christopher G. Scott, Kimberly A. Bertrand
Distribution of dense area (DA) and non dense area (NDA) phenotypes prior to standardization. The age effect on DA and NDA as well as the differences in the distribution across the studies observed for breast cancer cases.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c70a913a824c694676a124ec0e9f6cf
https://doi.org/10.1158/1055-9965.22436376
https://doi.org/10.1158/1055-9965.22436376
Autor:
Karla Kerlikowske, Celine M. Vachon, V. Shane Pankratz, John Shepherd, John J. Heine, Aaron D. Norman, Diana L. Miglioretti, Stacey J. Winham, Fang Fang Wu, Carrie B. Hruska, Dana H. Whaley, Serghei Malkov, Amir Pasha Mahmoudzadeh, Kathleen R. Brandt, Lin Ma, Matthew R. Jensen, Christopher G. Scott, Natalie J. Engmann
Supplementary Table 1. Absolute and relative changes in volumetric percent density among premenopausal and postmenopausal women; Supplementary Table 2. Annualized changes in percent density and dense volume by menopause status and treatment type; Sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1a0ce51b68689baabfc18917d185246
https://doi.org/10.1158/1055-9965.22438096.v1
https://doi.org/10.1158/1055-9965.22438096.v1