Results 81 to 90 of about 320,663 (266)

Breast Density and Breast Cancer [PDF]

open access: yesJournal of the Advanced Practitioner in Oncology, 2020
openaire   +2 more sources

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

open access: yesMolecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski   +12 more
wiley   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

open access: yesMolecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim   +3 more
wiley   +1 more source

Determination Of Breast Density Using Fuzzy Logic

open access: yesپیاورد سلامت, 2014
Background and Aim: The risk of breast cancer increases directly in line with breast density. Therefore, it is important to pay more attention to denser breasts in order to detect abnormalities.
Mostafa Langarizadeh, Rozi Mahmud
doaj  

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

open access: yesMolecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller   +10 more
wiley   +1 more source

Conversion of immunohistochemical markers and breast density are associated with pathological response and prognosis in very young breast cancer patients who fail to achieve a pathological complete response after neoadjuvant chemotherapy

open access: yesCancer Management and Research, 2019
Yue Zhao,1 Xiaolei Wang,2 Yuanxi Huang,1 Xianli Zhou,2 Dongwei Zhang31Department of Breast Surgery, The Tumor Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China; 2Department of In-Patient Ultrasound, The Second ...
Zhao Y, Wang X, Huang Y, Zhou X, Zhang D
doaj  

Tailored 3D breast models for development of microwave based breast tumor screening

open access: yesFinnish Journal of eHealth and eWelfare
Portable breast monitoring devices, which could be used outside the hospital and even for self-monitoring of risk groups, are considered as promising eHealth applications for future telemedicine. Microwave technique is one of the most promising emerging
Mariella Särestöniemi   +3 more
doaj   +1 more source

PARP inhibitors induce a senescence phenotype in non‐small cell lung carcinoma cell lines

open access: yesFEBS Open Bio, EarlyView.
Talazoparib is the most potent inducer of senescence among different PARP1 inhibitors in human NSCLC cells. In the absence of PARP, no senescence phenotype was observed, demonstrating that PARP1 is necessary for the induction of senescence by this inhibitor.
Camille Huart   +7 more
wiley   +1 more source

Accuracy of Abbreviated Breast MRI in Diagnosing Breast Cancer in Women with Dense Breasts Compared with Standard Imaging Modalities

open access: yesSaudi Journal of Medicine and Medical Sciences
Background: Breast density is an independent risk factor for breast cancer and affects the sensitivity of mammography screening. Therefore, new breast imaging approaches could benefit women with increased breast density in early cancer detection and ...
Areej S. Aloufi   +12 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

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