Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luana Acton"'
Autor:
Xiaoyu Song, Valerie McGuire, Daniel L. Rubin, Stacey E. Alexeeff, Weiva Sieh, Laurel A. Habel, Russell B. McBride, Luana Acton, Kezhen Fei, Joseph H. Rothstein, Alice S. Whittemore, Jafi A. Lipson, Lori C. Sakoda, Rhea Y. Liang, Ninah Achacoso, Martin J. Yaffe
Publikováno v:
Cancer Epidemiol Biomarkers Prev
Background: Percent density (PD) is a strong risk factor for breast cancer that is potentially modifiable by lifestyle factors. PD is a composite of the dense (DA) and nondense (NDA) areas of a mammogram, representing predominantly fibroglandular or
Autor:
Deborah Schrag, Rinaa S. Punglia, Stuart J. Schnitt, Laurel A. Habel, Wei Jiang, Larissa Nekhlyudov, Michael J. Hassett, Luana Acton, Ninah Achacoso
Publikováno v:
Breast Cancer Research and Treatment. 155:541-549
We examined the clinical/pathologic features of ipsilateral second breast cancers (IP-SBCs) following breast-conserving surgery (BCS) for DCIS among community-treated patients and ascertained the degree of correlation between the features of index DC
Autor:
Sheida Nabavi, Luana Acton, Pamela D. Waterman, Nancy Krieger, Laurel A. Habel, Stuart J. Schnitt, Ninah S. Achacoso
Publikováno v:
Cancer causescontrol : CCC. 29(3)
PURPOSE: To assess the feasibility of quantifying long-term trends in breast tumor DNA copy number variation (CNV) profiles. METHODS: We evaluated CNV profiles in formalin-fixed paraffin-embedded (FFPE) tumor specimens from 30 randomly selected Kaise
Case-control study of mammographic density and breast cancer risk using processed digital mammograms
Autor:
Ninah Achacoso, Laurel A. Habel, Daniel L. Rubin, Alice S. Whittemore, Luana Acton, Weiva Sieh, Joseph H. Rothstein, Martin J. Yaffe, Rhea Y. Liang, Valerie McGuire, Jafi A. Lipson
Publikováno v:
Breast Cancer Research : BCR
Background Full-field digital mammography (FFDM) has largely replaced film-screen mammography in the US. Breast density assessed from film mammograms is strongly associated with breast cancer risk, but data are limited for processed FFDM images used
Autor:
Ninah Achacoso, Rebecca E. Graff, Stacey E. Alexeeff, Eric Jorgenson, Luana Acton, Russell B. McBride, Rhea Y. Liang, Alice S. Whittemore, Daniel L. Rubin, Robert J. Klein, Martin J. Yaffe, Neil Risch, Lori C. Sakoda, Catherine Schaefer, Laurel A. Habel, Joseph H. Rothstein, Jafi A. Lipson, Douglas F. Easton, Valerie McGuire, Weiva Sieh
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature communications, vol 11, iss 1
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature communications, vol 11, iss 1
Mammographic density (MD) phenotypes are strongly associated with breast cancer risk and highly heritable. In this GWAS meta-analysis of 24,192 women, we identify 31 MD loci at P
Mammographic density represents one the strongest predictors of br
Mammographic density represents one the strongest predictors of br