It's getting complicated—a fresh look at p53-MDM2-ARF triangle in tumorigenesis and cancer therapy
Anti-tumorigenic mechanisms mediated by the tumor suppressor p53, upon oncogenic
stresses, are our bodies' greatest weapons to battle against cancer onset and development …
stresses, are our bodies' greatest weapons to battle against cancer onset and development …
The present and future of the Cancer Dependency Map
Despite tremendous progress in the past decade, the complex and heterogeneous nature of
cancer complicates efforts to identify new therapies and therapeutic combinations that …
cancer complicates efforts to identify new therapies and therapeutic combinations that …
Comprehensive genomic and transcriptomic analysis for guiding therapeutic decisions in patients with rare cancers
P Horak, C Heining, S Kreutzfeldt, B Hutter, A Mock… - Cancer discovery, 2021 - AACR
The clinical relevance of comprehensive molecular analysis in rare cancers is not
established. We analyzed the molecular profiles and clinical outcomes of 1,310 patients …
established. We analyzed the molecular profiles and clinical outcomes of 1,310 patients …
Generation and multi-dimensional profiling of a childhood cancer cell line atlas defines new therapeutic opportunities
CX Sun, P Daniel, G Bradshaw, H Shi, M Loi, N Chew… - Cancer Cell, 2023 - cell.com
Pediatric solid and central nervous system tumors are the leading cause of cancer-related
death among children. Identifying new targeted therapies necessitates the use of pediatric …
death among children. Identifying new targeted therapies necessitates the use of pediatric …
[HTML][HTML] Global computational alignment of tumor and cell line transcriptional profiles
A Warren, Y Chen, A Jones, T Shibue, WC Hahn… - Nature …, 2021 - nature.com
Cell lines are key tools for preclinical cancer research, but it remains unclear how well they
represent patient tumor samples. Direct comparisons of tumor and cell line transcriptional …
represent patient tumor samples. Direct comparisons of tumor and cell line transcriptional …
Building a translational cancer dependency map for The Cancer Genome Atlas
X Shi, C Gekas, D Verduzco, S Petiwala, C Jeffries… - Nature Cancer, 2024 - nature.com
Cancer dependency maps have accelerated the discovery of tumor vulnerabilities that can
be exploited as drug targets when translatable to patients. The Cancer Genome Atlas …
be exploited as drug targets when translatable to patients. The Cancer Genome Atlas …
Weakened APC/C activity at mitotic exit drives cancer vulnerability to KIF18A inhibition
The efficacy of current antimitotic cancer drugs is limited by toxicity in highly proliferative
healthy tissues. A cancer-specific dependency on the microtubule motor protein KIF18A …
healthy tissues. A cancer-specific dependency on the microtubule motor protein KIF18A …
Mutational signatures are markers of drug sensitivity of cancer cells
J Levatić, M Salvadores, F Fuster-Tormo… - Nature …, 2022 - nature.com
Genomic analyses have revealed mutational footprints associated with DNA maintenance
gone awry, or with mutagen exposures. Because cancer therapeutics often target DNA …
gone awry, or with mutagen exposures. Because cancer therapeutics often target DNA …
Phosphate dysregulation via the XPR1–KIDINS220 protein complex is a therapeutic vulnerability in ovarian cancer
DP Bondeson, BR Paolella, A Asfaw, MV Rothberg… - Nature cancer, 2022 - nature.com
Despite advances in precision medicine, the clinical prospects for patients with ovarian and
uterine cancers have not substantially improved. Here, we analyzed genome-scale CRISPR …
uterine cancers have not substantially improved. Here, we analyzed genome-scale CRISPR …
Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Z Cai, S Apolinário, AR Baião, C Pacini… - Nature …, 2024 - nature.com
Integrating diverse types of biological data is essential for a holistic understanding of cancer
biology, yet it remains challenging due to data heterogeneity, complexity, and sparsity …
biology, yet it remains challenging due to data heterogeneity, complexity, and sparsity …