Unequal prognostic potentials of p53 gain-of-function mutations in human cancers associate with drug-metabolizing activity

Mutation of p53 is the most common genetic change in human cancer, causing complex effects including not only loss of wild-type function but also gain of novel oncogenic functions (GOF). It is increasingly likely that p53-hotspot mutations may confer different types and magnitudes of GOF, but the evidences are mainly supported by cellular and transgenic animal models. Here we combine large-scale cancer genomic data to characterize the prognostic significance of different p53 mutations in human cancers. Unexpectedly, only mutations on the Arg248 and Arg282 positions displayed significant association with shorter patient survival, but such association was not evident for other hotspot GOF mutations. Gene set enrichment analysis on these mutations revealed higher activity of drug-metabolizing enzymes, including the CYP3A4 cytochrome P450. Ectopic expression of p53 mutant R282W in H1299 and SaOS2 cells significantly upregulated CYP3A4 mRNA and protein levels, and cancer cell lines bearing mortality-associated p53 mutations display higher CYP3A4 expression and resistance to several CYP3A4-metabolized chemotherapeutic drugs. Our results suggest that p53 mutations have unequal GOF activities in human cancers, and future evaluation of p53 as a cancer biomarker should consider which mutation is present in the tumor, rather than having comparison between wild-type and mutant genotypes.     

突变体p53研究进展

抑癌基因突变是癌症发生过程中一个极为关键的事件。p53作为体内最重要的抑癌基因之一, 在人类癌症中发生突变的频率高达50%。同时, p53突变也是人类遗传病Li-Fraumeni综合征的主要病因。p53最常见的突变形式是错义突变, 所形成的突变体p53不但失去了野生型p53的抑癌功能, 而且还获得了一系列类似于癌基因的功能, 促进了肿瘤的进程。文章拟对突变体p53的结构功能改变, 获得癌基因活性的分子机制, 以及近年来对封闭突变体p53活性所进行的探索等研究方向所取得的进展做一综述。     

Conditional RNA interference in vivo to study mutant p53 oncogenic gain of function on tumor malignancy

Mutant p53 proteins are thought to have acquired a "gain of function" (GOF) activity that mainly contributes to tumor aggressiveness. Previously we reported that constitutive downregulation of mutant p53 by RNA interference reduces the tumorigenicity of cancer cells in an animal model; however, effects of adaptation to long-term mutant p53 inhibition could not be excluded. To address this point, mimicking more physiological conditions, we now describe the establishment of a lentiviral-based system for conditional interference with mutant p53 expression. In vivo studies assessed the efficacy of conditional RNA interference in inhibiting gain of function activity of mutant p53 proteins by reducing tumor growth ability. Moreover by using this system, microarray data were validated in vitro and in vivo and putative mutant p53 target genes that may contribute to its gain of function effects in cancer were identified. Results are confirmatory that depletion of mutant p53 protein impacts on tumor malignancy and validated the inducible lentiviral-based system as an efficient tool to study the gain of function activity of human tumor derived p53 mutants.     

Gain of function of mutant p53 by coaggregation with multiple tumor suppressors

Many p53 missense mutations possess dominant-negative activity and oncogenic gain of function. We report that for structurally destabilized p53 mutants, these effects result from mutant-induced coaggregation of wild-type p53 and its paralogs p63 and p73, thereby also inducing a heat-shock response. Aggregation of mutant p53 resulted from self-assembly of a conserved aggregation-nucleating sequence within the hydrophobic core of the DNA-binding domain, which becomes exposed after mutation. Suppressing the aggregation propensity of this sequence by mutagenesis abrogated gain of function and restored activity of wild-type p53 and its paralogs. In the p53 germline mutation database, tumors carrying aggregation-prone p53 mutations have a significantly lower frequency of wild-type allele loss as compared to tumors harboring nonaggregating mutations, suggesting a difference in clonal selection of aggregating mutants. Overall, our study reveals a novel disease mechanism for mutant p53 gain of function and suggests that, at least in some respects, cancer could be considered an aggregation-associated disease.     

p53 gain-of-function cancer mutants induce genetic instability by inactivating ATM

Tp53 is the most commonly mutated tumour-suppressor gene in human cancers. In addition to the loss of tumour-suppression function, some missense mutants gain novel oncogenic activities. To elucidate the nature of the gain of function, we introduced the most common p53 cancer mutations (R248W and R273H) independently into the humanized p53 knock-in (HUPKI) allele in mice. Tumour-suppressor functions of p53 are abolished in p53-mutant mice. Several lines of evidence further indicate gain-of-function of p53 mutants in promoting tumorigenesis. p53(R248W) mice rapidly succumb to certain types of cancers not commonly observed in p53(-/-) mice. Interchromosomal translocations, a type of genetic instability rarely observed in p53(-/-) cells, are readily detectable in p53-mutant pre-tumor thymocytes. Although normal in p53(-/-) mouse cells, the G(2)-M checkpoint is impaired in p53-mutant cells after DNA damage. These acquired oncogenic properties of mutant p53 could be explained by the findings that these p53 mutants interact with the nuclease Mre11 and suppress the binding of the Mre11-Rad50-NBS1 (MRN) complex to DNA double-stranded breaks (DSBs), leading to impaired Ataxia-telangiectasia mutated (ATM) activation. Therefore, p53 gain-of-function mutants promote tumorigenesis by a novel mechanism involving active disruption of critical DNA damage-response pathways.     

Oncogenomic Approaches in Exploring Gain of Function of Mutant p53

Cancer is caused by the spatial and temporal accumulation of alterations in the genome of a given cell. This leads to the deregulation of key signalling pathways that play a pivotal role in the control of cell proliferation and cell fate. The p53 tumor suppressor gene is the most frequent target in genetic alterations in human cancers. The primary selective advantage of such mutations is the elimination of cellular wild type p53 activity. In addition, many evidences in vitro and in vivo have demonstrated that at least certain mutant forms of p53 may possess a gain of function, whereby they contribute positively to cancer progression. The fine mapping and deciphering of specific cancer phenotypes is taking advantage of molecular-profiling studies based on genome-wide approaches. Currently, high-throughput methods such as array-based comparative genomic hybridization (CGH array), single nucleotide polymorphism array (SNP array), expression arrays and ChIP-on-chip arrays are available to study mutant p53-associated alterations in human cancers. Here we will mainly focus on the integration of the results raised through oncogenomic platforms that aim to shed light on the molecular mechanisms underlying mutant p53 gain of function activities and to provide useful information on the molecular stratification of tumor patients.     

Mutational analysis of the p53 core domain L1 loop

The p53 tumor suppressor gene acquires missense mutations in over 50% of human cancers, and most of these mutations occur within the central core DNA binding domain. One structurally defined region of the core, the L1 loop (residues 112-124), is a mutational "cold spot" in which relatively few tumor-derived mutations have been identified. To further understand the L1 loop, we subjected this region to both alanine- and arginine-scanning mutagenesis and tested mutants for DNA binding in vitro. Select mutants were then analyzed for transactivation and cell cycle analysis in either transiently transfected cells or cells stably expressing wild-type and mutant proteins at regulatable physiological levels. We focused most extensively on two p53 L1 loop mutants, T123A and K120A. The T123A mutant p53 displayed significantly better DNA binding in vitro as well as stronger transactivation and apoptotic activity in vivo than wild-type p53, particularly toward its pro-apoptotic target AIP1. By contrast, K120A mutant p53, although capable of strong binding in vitro and wild-type levels of transactivation and apoptosis when transfected into cells, showed impaired activity when expressed at normal cellular levels. Our experiments indicate a weaker affinity for DNA in vivo by K120A p53 as the main reason for its defects in transactivation and apoptosis. Overall, our findings demonstrate an important, yet highly modular role for the L1 loop in the recognition of specific DNA sequences, target transactivation, and apoptotic signaling by p53.     

Tumorigenic p53 mutants undergo common structural disruptions including conversion to α‐sheet structure

The p53 protein is a commonly studied cancer target because of its role in tumor suppression. Unfortunately, it is susceptible to mutation‐associated loss of function; approximately 50% of cancers are associated with mutations to p53, the majority of which are located in the central DNA‐binding domain. Here, we report molecular dynamics simulations of wild‐type (WT) p53 and 20 different mutants, including a stabilized pseudo‐WT mutant. Our findings indicate that p53 mutants tend to exacerbate latent structural‐disruption tendencies, or vulnerabilities, already present in the WT protein, suggesting that it may be possible to develop cancer therapies by targeting a relatively small set of structural‐disruption motifs rather than a multitude of effects specific to each mutant. In addition, α‐sheet secondary structure formed in almost all of the proteins. α‐Sheet has been hypothesized and recently demonstrated to play a role in amyloidogenesis, and its presence in the reported p53 simulations coincides with the recent re‐consideration of cancer as an amyloid disease.     

Mutant p53: it’s not all one and the same

Mutation of the TP53 tumor suppressor gene is the most common genetic alteration in cancer, and almost 1000 alleles have been identified in human tumors. While virtually all TP53 mutations are thought to compromise wild type p53 activity, the prevalence and recurrence of missense TP53 alleles has motivated countless research studies aimed at understanding the function of the resulting mutant p53 protein. The data from these studies support three distinct, but perhaps not necessarily mutually exclusive, mechanisms for how different p53 mutants impact cancer: first, they lose the ability to execute wild type p53 functions to varying degrees; second, they act as a dominant negative (DN) inhibitor of wild type p53 tumor-suppressive programs; and third, they may gain oncogenic functions that go beyond mere p53 inactivation. Of these possibilities, the gain of function (GOF) hypothesis is the most controversial, in part due to the dizzying array of biological functions that have been attributed to different mutant p53 proteins. Herein we discuss the current state of understanding of TP53 allele variation in cancer and recent reports that both support and challenge the p53 GOF model. In these studies and others, researchers are turning to more systematic approaches to profile TP53 mutations, which may ultimately determine once and for all how different TP53 mutations act as cancer drivers and whether tumors harboring distinct mutations are phenotypically unique. From a clinical perspective, such information could lead to new therapeutic approaches targeting the effects of different TP53 alleles and/or better sub-stratification of patients harboring TP53 mutant cancers.Subject terms: Cancer genetics, Tumour-suppressor proteins     

p53与细胞死亡

p53是一种重要的肿瘤抑制因子,是迄今发现与人类肿瘤相关性最高的分子之一。超过50%的人类肿瘤含有p53基因突变。因此,p53是肿瘤治疗中的重要分子靶点。p53依赖的细胞凋亡是其抑制肿瘤的重要机制之一。然而,最近研究发现,p53不仅参与细胞凋亡,还与程序性细胞坏死、细胞自噬以及铁诱导的细胞死亡等细胞死亡途径相关。促使肿瘤细胞死亡是肿瘤治疗的重要目标。因此,进一步了解p53与细胞死亡之间的关系,将有助于探索以p53为靶点的肿瘤治疗和p53相关肿瘤细胞耐药机制。     

Structure and Function of p53-DNA Complexes with Inactivation and Rescue Mutations: A Molecular Dynamics Simulation Study

The tumor suppressor protein p53 can lose its function upon DNA-contact mutations (R273C and R273H) in the core DNA-binding domain. The activity can be restored by second-site suppressor or rescue mutations (R273C_T284R, R273H_T284R, and R273H_S240R). In this paper, we elucidate the structural and functional consequence of p53 proteins upon DNA-contact mutations and rescue mutations and the underlying mechanisms at the atomic level by means of molecular dynamics simulations. Furthermore, we also apply the docking approach to investigate the binding phenomena between the p53 protein and DNA upon DNA-contact mutations and rescue mutations. This study clearly illustrates that, due to DNA-contact mutants, the p53 structure loses its stability and becomes more rigid than the native protein. This structural loss might affect the p53-DNA interaction and leads to inhibition of the cancer suppression. Rescue mutants (R273C_T284R, R273H_T284R and R273H_S240R) can restore the functional activity of the p53 protein upon DNA-contact mutations and show a good interaction between the p53 protein and a DNA molecule, which may lead to reactivate the cancer suppression function. Understanding the effects of p53 cancer and rescue mutations at the molecular level will be helpful for designing drugs for p53 associated cancer diseases. These drugs should be designed so that they can help to inhibit the abnormal function of the p53 protein and to reactivate the p53 function (cell apoptosis) to treat human cancer.     

Targeting p53 for Novel Anticancer Therapy

Carcinogenesis is a multistage process, involving oncogene activation and tumor suppressor gene inactivation as well as complex interactions between tumor and host tissues, leading ultimately to an aggressive metastatic phenotype. Among many genetic lesions, mutational inactivation of p53 tumor suppressor, the “guardian of the genome,” is the most frequent event found in 50% of human cancers. p53 plays a critical role in tumor suppression mainly by inducing growth arrest, apoptosis, and senescence, as well as by blocking angiogenesis. In addition, p53 generally confers the cancer cell sensitivity to chemoradiation. Thus, p53 becomes the most appealing target for mechanism-driven anticancer drug discovery. This review will focus on the approaches currently undertaken to target p53 and its regulators with an overall goal either to activate p53 in cancer cells for killing or to inactivate p53 temporarily in normal cells for chemoradiation protection. The compounds that activate wild type (wt) p53 would have an application for the treatment of wt p53-containing human cancer. Likewise, the compounds that change p53 conformation from mutant to wt p53 (p53 reactivation) or that kill the cancer cells with mutant p53 using a synthetic lethal mechanism can be used to selectively treat human cancer harboring a mutant p53. The inhibitors of wt p53 can be used on a temporary basis to reduce the normal cell toxicity derived from p53 activation. Thus, successful development of these three classes of p53 modulators, to be used alone or in combination with chemoradiation, will revolutionize current anticancer therapies and benefit cancer patients.     

A gain of function p53 mutant promotes both genomic instability and cell survival in a novel p53-null mammary epithelial cell model.

Approximately 40% of human breast cancers contain alterations in the tumor suppressor p53. The p53 172R-H gain-of-function mutant (equivalent to the common 175R-H human breast cancer mutant) has been shown to promote aneuploidy and tumorigenesis in the mammary gland in transgenic mice and may affect genomic stability in part by causing centrosome abnormalities. The precise mechanism of action of these gain-of-function mutants is not well understood, and has been studied primarily in fibroblast cell lines. A novel p53-null mouse mammary epithelial cell line developed from p53-null mice has been used in adenovirus-mediated transient transfection experiments to study the properties of this p53 mutant. Marked centrosome amplification and an increased frequency of aberrant mitoses were observed within 72 h of introduction of p53 172R-H. However, few cells with aberrant centrosome numbers were observed in cells stably expressing the p53 172R-H mutant. Furthermore, stable expression of this p53 mutant reduced both basal and DNA damage-induced apoptosis. This result may be mediated in part through abrogation of p73 function. The p53 172R-H mutant, therefore, appears to influence tumorigenesis at the molecular level in two distinct ways: promoting the development of aneuploidy in cells while also altering their apoptotic response after DNA damage.     

Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active Learning

Many protein engineering problems involve finding mutations that produce proteins with a particular function. Computational active learning is an attractive approach to discover desired biological activities. Traditional active learning techniques have been optimized to iteratively improve classifier accuracy, not to quickly discover biologically significant results. We report here a novel active learning technique, Most Informative Positive (MIP), which is tailored to biological problems because it seeks novel and informative positive results. MIP active learning differs from traditional active learning methods in two ways: (1) it preferentially seeks Positive (functionally active) examples; and (2) it may be effectively extended to select gene regions suitable for high throughput combinatorial mutagenesis. We applied MIP to discover mutations in the tumor suppressor protein p53 that reactivate mutated p53 found in human cancers. This is an important biomedical goal because p53 mutants have been implicated in half of all human cancers, and restoring active p53 in tumors leads to tumor regression. MIP found Positive (cancer rescue) p53 mutants in silico using 33% fewer experiments than traditional non-MIP active learning, with only a minor decrease in classifier accuracy. Applying MIP to in vivo experimentation yielded immediate Positive results. Ten different p53 mutations found in human cancers were paired in silico with all possible single amino acid rescue mutations, from which MIP was used to select a Positive Region predicted to be enriched for p53 cancer rescue mutants. In vivo assays showed that the predicted Positive Region: (1) had significantly more (p<0.01) new strong cancer rescue mutants than control regions (Negative, and non-MIP active learning); (2) had slightly more new strong cancer rescue mutants than an Expert region selected for purely biological considerations; and (3) rescued for the first time the previously unrescuable p53 cancer mutant P152L.