Targeting CDK4 and CDK6 in cancer
S Goel, JS Bergholz, JJ Zhao - Nature Reviews Cancer, 2022 - nature.com
Abstract Cyclin-dependent kinase 4 (CDK4) and CDK6 are critical mediators of cellular
transition into S phase and are important for the initiation, growth and survival of many …
transition into S phase and are important for the initiation, growth and survival of many …
Cellular mechanisms underlying response and resistance to CDK4/6 inhibitors in the treatment of hormone receptor-positive breast cancer
AC Watt, S Goel - Breast Cancer Research, 2022 - Springer
Pharmacological inhibitors of cyclin-dependent kinases 4 and 6 (CDK4/6) are now an
established standard of care for patients with advanced hormone receptor-positive breast …
established standard of care for patients with advanced hormone receptor-positive breast …
CDK4/6 inhibitor-mediated cell overgrowth triggers osmotic and replication stress to promote senescence
L Crozier, R Foy, R Adib, A Kar, JA Holt, AU Pareri… - Molecular Cell, 2023 - cell.com
Abnormal increases in cell size are associated with senescence and cell cycle exit. The
mechanisms by which overgrowth primes cells to withdraw from the cell cycle remain …
mechanisms by which overgrowth primes cells to withdraw from the cell cycle remain …
Endothelial sensing of AHR ligands regulates intestinal homeostasis
BG Wiggins, YF Wang, A Burke, N Grunberg… - Nature, 2023 - nature.com
Endothelial cells line the blood and lymphatic vasculature, and act as an essential physical
barrier, control nutrient transport, facilitate tissue immunosurveillance and coordinate …
barrier, control nutrient transport, facilitate tissue immunosurveillance and coordinate …
Opportunities and challenges for deep learning in cell dynamics research
B Chai, C Efstathiou, H Yue, VM Draviam - Trends in Cell Biology, 2023 - cell.com
The growth of artificial intelligence (AI) has led to an increase in the adoption of computer
vision and deep learning (DL) techniques for the evaluation of microscopy images and …
vision and deep learning (DL) techniques for the evaluation of microscopy images and …
The pathophysiology of the cell cycle in cancer and treatment strategies using various cell cycle checkpoint inhibitors
SG Almalki - Pathology-Research and Practice, 2023 - Elsevier
The cell cycle is the series of events that occur in a cell leading to its division and
duplication. It can be divided into two main stages: interphase and mitosis. Interphase is the …
duplication. It can be divided into two main stages: interphase and mitosis. Interphase is the …
Breast Cancer Mutations HER2V777L and PIK3CAH1047R Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug Resistance
X Cheng, Y Sun, M Highkin, N Vemalapally, X Jin… - Cancer research, 2023 - AACR
In metastatic breast cancer, HER2-activating mutations frequently co-occur with mutations in
PIK3CA, TP53, or CDH1. Of these co-occurring mutations, HER2 and PIK3CA are the most …
PIK3CA, TP53, or CDH1. Of these co-occurring mutations, HER2 and PIK3CA are the most …
Genome-wide in vivo CRISPR screen identifies TGFβ3 as actionable biomarker of palbociclib resistance in triple negative breast cancer
Triple negative breast cancer (TNBC) remains exceptionally challenging to treat. While
CDK4/6 inhibitors have revolutionized HR+ breast cancer therapy, there is limited …
CDK4/6 inhibitors have revolutionized HR+ breast cancer therapy, there is limited …
[HTML][HTML] Mechanisms of sensitivity and resistance to CDK4/CDK6 inhibitors in hormone receptor-positive breast cancer treatment
A Glaviano, SA Wander, RD Baird, KCH Yap… - Drug Resistance …, 2024 - Elsevier
Cell cycle dysregulation is a hallmark of cancer that promotes eccessive cell division. Cyclin-
dependent kinase 4 (CDK4) and cyclin-dependent kinase 6 (CDK6) are key molecules in …
dependent kinase 4 (CDK4) and cyclin-dependent kinase 6 (CDK6) are key molecules in …
SuperFeat: Quantitative Features Learning from Single-cell RNAseq Data Facilitates Drug Repurposing
Z Jianmei, Y Junyao, S Yinghui, Z Zhihua… - Genomics …, 2024 - academic.oup.com
In this study, we have devised a computational framework called Supervised Feature
Learning and Scoring (SuperFeat) that allows for the training of a machine learning model …
Learning and Scoring (SuperFeat) that allows for the training of a machine learning model …