Putting p53 in context
By Edward R. Kastenhuber, Scott W. Lowe. Cell, 2017
1,657 citations recorded by the source corpus.
TP53 is the most frequently mutated gene in human cancer. Functionally, p53 is activated by a host of stress stimuli and, in turn, governs an exquisitely complex anti-proliferative transcriptional program that touches upon a bewildering array of biological responses. Despite the many unveiled facets of the p53 network, a clear appreciation of how and in what contexts p53 exerts its diverse effects remains unclear. How can we interpret p53’s disparate activities and the consequences of its dysfunction to understand how cell type, mutation profile, and epigenetic cell state dictate outcomes, and how might we restore its tumor suppressive activities in cancer?
Subfields: Molecular Biology, Oncology
View Paper: https://www.semanticscholar.org/paper/9364a1344493ba65235e43b7dd592ddc3c4021bc
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Citations in the corpus
- Targeting p53 pathways: mechanisms, structures and advances in therapy (2023, background): “1,2 The process of tumor development is strongly related to the dysfunctions caused by TP53 mutations.”
- The Tumor Suppressor Protein p53 and the Ferroptosis Network (2018, positive): “Discovered in the 1970s, the tumor suppressor protein p53 (TP53) plays a critical role in the cellular response to various stresses, including DNA damage, hypoxia, nutrition starvation, and oncogene activation [1].”
- Mechanisms and functions of cellular senescence. (2018, neutral): “Once activated, p53 regulates a complex antiproliferative transcriptional program (35).”
- Integrated Analysis of TP53 Gene and Pathway Alterations in The Cancer Genome Atlas (2019, background): “The p53 pathway is affected by numerous upstream regulators and in turn it regulates large numbers of targets transcriptionally and non-transcriptionally (Kastenhuber and Lowe, 2017; Mello and Attardi, 2017).”
- Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas (2018, positive): “Individual weights of the TP53 classifier identified 10 top negative-weighted genes, of which 9 are confirmed TP53 target genes (Kastenhuber and Lowe, 2017) (Figure 5B).”