The cancer-associated, gain-of-function TP53 variant P152Lp53 activates multiple signaling pathways implicated in tumorigenesis

Computational approaches for identifying disease-causing mutations in proteins

Advancements in genome sequencing have expanded the scope of investigating mutations in proteins across different diseases. Amino acid mutations in a protein alter its structure, stability and function and some of them lead to diseases. Identification of disease-causing mutations is a challenging task and it will be helpful for designing therapeutic strategies. Hence, mutation data available in the literature have been curated and stored in several databases, which have been effectively utilized for developing computational methods to identify deleterious mutations (drivers), using sequence and structure-based properties of proteins. In this chapter, we describe the contents of specific databases that have information on disease-causing and neutral mutations followed by sequence and structure-based properties. Further, characteristic features of disease-causing mutations will be discussed along with computational methods for identifying cancer hotspot residues and disease-causing mutations in proteins.

The genomic architectures of tumour-adjacent tissues, plasma and saliva reveal evolutionary underpinnings of relapse in head and neck squamous cell carcinoma

BACKGROUND

Head and neck squamous cell carcinoma (HNSCC) is characterised by a dismal prognosis; nonetheless, limited studies have unveiled the mechanisms underlying HNSCC relapse.

METHODS

Next-generation sequencing was performed to identify the somatic mutations in 188 matched samples, including primary tumours, tumour-adjacent tissues (TATs), pre- and post-operative plasma, saliva and peripheral blood lymphocytes (PBLs) from 27 patients. The evolutionary relationship between TATs and tumours were analysed. The dynamic changes of tumour- and TAT-specific mutations in liquid biopsies were monitored together with survival analysis.

RESULTS

Alterations were detected in 27 out of 27 and 19 out of 26 tumours and TATs, respectively. TP53 was the most prevalently mutated gene in TATs. Some TATs shared mutations with primary tumours, while some other TATs were evolutionarily unrelated to tumours. Notably, TP53 mutations in TATs are stringently associated with premalignant transformation and are indicative of worse survival (hazard ratio = 14.01). TAT-specific mutations were also detected in pre- and/or post-operative liquid biopsies and were indicative of disease relapse.

CONCLUSIONS

TATs might undergo the processes of premalignant transformation, tumorigenesis and eventually relapse by either inheriting tumorigenic mutations from ancestral clones where the tumour originated or gaining private mutations independent of primary tumours. Detection of tumour- and/or TAT-specific genetic alterations in post-operative biopsies shows profound potential in prognostic use.

DNA-Bound p53-DNA-Binding Domain Interconverts between Multiple Conformations: Implications for Partner Protein Recognition

Protein-protein interaction networks are critical components of cellular regulation. Hub proteins, defined by their ability to interact with numerous protein partners, are the pivots of these networks. A hypothesis that an ensemble of rapidly interconverting conformational states contributes significantly to the ability of hub proteins to interact with diverse partners has been proposed. The master gene regulator p53 is a prototype multidomain hub protein. Its DNA-binding domain alone is involved in interactions with many of its partner proteins. We investigated the dynamics of the p53 DNA-binding domain by ¹⁵N-NMR Carr-Purcell-Meiboom-Gill relaxation methods. In the DNA-bound state, we detected conformational exchanges in the domain in the microsecond to millisecond timescale, while dynamics at this timescale was not detectable in the free state. This suggests that the binding of p53 to specific DNA sequences promotes exchange between two or more conformational states, creating a broad conformational repertoire necessary for interacting with many partner proteins.