Results 41 to 50 of about 29,583 (248)

Transcriptome analysis reveals differences in cell cycle, growth and migration related genes that distinguish fibroblasts derived from pre-invasive and invasive breast cancer

Frontiers in Oncology, 2023
Background/IntroductionAs the most common form of pre-invasive breast cancer, ductal carcinoma in situ (DCIS) affects over 50,000 women in the US annually.
Wei Bin Fang, Marcela Medrano, Paige Cote, Mike Portsche, Vinamratha Rao, Yan Hong, Fariba Behbod, Jennifer R. Knapp, Jennifer R. Knapp, Clark Bloomer, Janelle Noel-Macdonnell, Janelle Noel-Macdonnell, Nikki Cheng, Nikki Cheng   +13 more
doaj   +1 more source

A Survey of the Recent Trends in Deep Learning Based Malware Detection

Journal of Cybersecurity and Privacy, 2022
Monitoring Indicators of Compromise (IOC) leads to malware detection for identifying malicious activity. Malicious activities potentially lead to a system breach or data compromise.
Umm-e-Hani Tayyab, Faiza Babar Khan, Muhammad Hanif Durad, Asifullah Khan, Yeon Soo Lee   +4 more
doaj   +1 more source

Identification of biomarkers in ductal carcinoma in situ of the breast with microinvasion

BMC Cancer, 2008
Background Widespread use of mammography in breast cancer screening has led to the identification of increasing numbers of patients with ductal carcinoma in situ (DCIS).
Iyama Ken-ichi, Honda Yumi, Ibusuki Mutsuko, Kawasoe Teru, Toyama Tatsuya, Zhang Zhenhuan, Yamamoto Yutaka, Okumura Yasuhiro, Yamashita Hiroko, Iwase Hirotaka   +9 more
doaj   +1 more source

Clinicopathological features and prognostic differences of ductal carcinoma in situ with ductal carcinoma in situ with microinvasion

Di-san junyi daxue xuebao, 2020
Objective To determine the clinicopathological features and prognostic differences between ductal carcinoma in situ (DCIS) and ductal carcinoma in situ with microinvasion (DCIS-MI) of breast cancer. Methods A cohort of 489 female patients with surgically
LIU Jing, ZHANG Ye, YAN Wenting, ZHONG Ling, TAN Xuanni   +4 more
doaj   +1 more source

A study of the molecular pathology of ductal carcinoma in situ and invasive ductal carcinoma of the breast. [PDF]

, 2005
The biological validity of the histopathological classification of ductal carcinoma in situ (DCIS) of the breast was evaluated in this study by correlating the three histopathological grades of DCIS to immunohistochemical expression of Ki67, p53, cerbB-2,
Rehman, S.
core  

The challenge of being diagnosed and treated for ductal carcinoma in situ (DCIS). [PDF]

, 2008
Following the introduction of the National Health Service Breast Screening Programme(NHSBSP) in the UK increasing numbers of women are diagnosed with ductal carcinoma in situ (DCIS).
Harcourt, D, Kennedy, F, Kennedy, Fiona, Harcourt, Diana, Rumsey, N, Rumsey, Nichola   +5 more
core   +1 more source

A Retinal Matrix Stiffening Model Reveals FAK‐Dependent Mechanotransduction in Pericytes Underlies Vascular Destabilization

Advanced Materials, EarlyView.
In this study, we show that retinal matrix stiffness is increased in diabetic mice. Using engineered human vascular models with controlled matrix stiffness, we demonstrate that stiffening activates focal adhesion kinase (FAK) signaling in pericytes, suppresses Notch signaling, and disrupts vascular morphology.
Emily Warren, Alex Wu, Lucas Ramirez, Yaqing Huang, Connor Amelung, Sophia Saxonhouse, Sharon Gerecht   +6 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

The natural history of ductal carcinoma in situ (DCIS) in simulation models: A systematic review

Breast, 2023
Objective: Assumptions on the natural history of ductal carcinoma in situ (DCIS) are necessary to accurately model it and estimate overdiagnosis. To improve current estimates of overdiagnosis (0–91%), the purpose of this review was to identify and ...
Keris Poelhekken, Yixuan Lin, Marcel J.W. Greuter, Bert van der Vegt, Monique Dorrius, Geertruida H. de Bock   +5 more
doaj   +1 more source

Immunofluorescence staining of DCIS tissues.

, 2014
A. Immunofluorescence confocal images of ductal carcinoma in situ (DCIS) tissues from 8 cases with no allelic loss determined by DNA FISH (unless otherwise indicated, DCIS with adjacent IDC): 1) 38 002422 (methylated), 2) 38 06830 (DCIS only, methylation
Jan Blancato (521882), Maria Moroni (343244), Leopold Tchobe (521885), Metin Ozdemirli (521886), Bhaskar Kallakury (197766), Banafsheh Rashidi (521884), Susette C. Mueller (258693), Ashley Graves (521883), Catalin Marian (157372), Kepher H. Makambi (157378)   +9 more
core   +1 more source