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Correctly identifying the true driver mutations in a patient's tumor is a major challenge in precision oncology. Most efforts address frequent mutations, leaving medium- and low-frequency variants mostly unaddressed. For TP53, this identification is crucial for both somatic and germline mutations, with the latter associated with the Li-Fraumeni syndrome (LFS), a multiorgan cancer predisposition. We present TP53_PROF (prediction of functionality), a gene specific machine learning model to predict the functional consequences of every possible missense mutation in TP53, integrating human cell- and yeast-based functional assays scores along with computational scores. Variants were labeled for the training set using well-defined criteria of prevalence in four cancer genomics databases. The model's predictions provided accuracy of 96.5%. They were validated experimentally, and were compared to population data, LFS datasets, ClinVar annotations and to TCGA survival data. Very high accuracy was shown through all methods of validation. TP53_PROF allows accurate classification of TP53 missense mutations applicable for clinical practice. Our gene specific approach integrated machine learning, highly reliable features and biological knowledge, to create an unprecedented, thoroughly validated and clinically oriented classification model. This approach currently addresses TP53 mutations and will be applied in the future to other important cancer genes., (© The Author(s) 2022. Published by Oxford University Press.)

A novel resource centre for TP53 mutations and mutants has been developed (http://p53.fr). TP53 gene dysfunction can be found in the majority of human cancer types. The potential use of TP53 mutation as a biomarker for clinical studies or exposome analysis has led to the publication of thousands of reports describing the TP53 gene status in >10,000 tumours. The UMD TP53 mutation database was created in 1990 and has been regularly updated. The 2012 release of the database has been carefully curated, and all suspicious reports have been eliminated. It is available either as a flat file that can be easily manipulated or as novel multi-platform analytical software that has been designed to analyse various aspects of TP53 mutations. Several tools to ascertain TP53 mutations are also available for download. We have developed TP53MULTLoad, a manually curated database providing comprehensive details on the properties of 2549 missense TP53 mutants. More than 100,000 entries have been arranged in 39 different activity fields, such as change of transactivation on various promoters, apoptosis or growth arrest. For several hot spot mutants, multiple gain of function activities are also included. The database can be easily browsed via a graphical user interface.

We investigated genetic heterogeneity of astrocytic gliomas using p53 gene mutations as a marker. Different parts of morphologically heterogeneous astrocytic gliomas were microdissected, and direct DNA sequencing of p53 gene exons 5 through 8 was performed. Thirty-five glioma samples and tumor-adjacent normal-appearing brain tissue from 11 patients were analyzed. Sixteen different p53 gene mutations were found in 7 patients. We found that some tumors were devoid of p53 gene mutations, whereas other tumors carried 1 or often several (up to 3) different mutations. The mutations were present in grade II, III, and IV astrocytic glioma areas. Both severe functionally dead mutants and mutants with remaining transcriptional activity could be observed in the same tumor. We observed that morphologically different parts of a glioma could carry different or similar mutations in the p53 gene and could be either associated or not associated with the locus of heterozygosity at the mutant site. Coexistence of p53 gene mutations and the locus of heterozygosity was common, at least in astrocytomas grade III and in glioblastomas, and also occurred in astrocytoma grade II areas. These results support the notion that intratumoral heterogeneity in brain tumors originates from different molecular defects. Our results are of importance for a further understanding of the molecular mechanisms behind failure to treat glioma patients.

We have created databases and software applications for the analysis of DNA mutations at the human p53 gene, the human hprt gene and both the rodent transgenic lacI and lacZ loci. The databases themselves are stand-alone dBASE files and the software for analysis of the databases runs on IBM-compatible computers with Microsoft Windows. Each database has a separate software analysis program. The software created for these databases permit the filtering, ordering, report generation and display of information in the database. In addition, a significant number of routines have been developed for the analysis of single base substitutions. One method of obtaining the databases and software is via the World Wide Web. Open the following home page with a Web Browser: http://sunsite.unc.edu/dnam/mainpage. html . Alternatively, the databases and programs are available via public FTP from: anonymous@sunsite.unc.edu. There is no password required to enter the system. The databases and software are found beneath the subdirectory: pub/academic/biology/dna-mutations. Two other programs are available at the site, a program for comparison of mutational spectra and a program for entry of mutational data into a relational database.

A large number of different mutations in the p53 tumor suppressor gene have been identified in all types of cancer. As of October, 1997, this database (http:// perso.curie.fr/tsoussi ) contained >7500 mutations. Such a substantial increase since our previous reports should enable epidemiological analyses which were not previously possible. In order to analyse these new data, the UMD software has been improved. A new Web version of the UMD software enables online analysis of the database. The present report describes various improvements since the last release of the database.

A database (http://perso.curie.fr/tsoussi ) is described, in which over 1000 mutations in the human APC gene of tumors (colon cancer predominantly) are compiled from the literature. It includes both molecular information about the mutations and clinical data about the patients. Software has been designed to analyse all this information in the database.

A large number of different mutations in the APC and p53 tumor suppressor genes have been identified in various types of cancer. This substantial increase since our previous reports can enable analyses which were not previously possible. In order to capture all these new data, the software permitting analysis has been improved. This report describes the various improvements since the second release of the database.

We have created databases and software applications for the analysis of DNA mutations at the humanp53gene, the humanhprtgene and both the rodent transgeniclacIandlacZlocus. The databases themselves are stand-alone dBASE files and the software for analysis of the databases runs on IBM-compatible computers. Each database has a separate software analysis program. The software created for these databases permit the filtering, ordering, report generation and display of information in the database. In addition, a significant number of routines have been developed for the analysis of single base substitutions. One method of obtaining the databases and software is via the World Wide Web (WWW). Open the following home page with a Web Browser: http://sunsite.unc.edu/dnam/mainpage.ht ml . Alternatively, the databases and programs are available via public FTP from: anonymous@sunsite.unc.edu . There is no password required to enter the system. The databases and software are found beneath the subdirectory: pub/academic/biology/dna-mutations. Two other programs are available at the site-a program for comparison of mutational spectra and a program for entry of mutational data into a relational database.

In recent years, there has been an exponential increase in the number of p53 mutations identified in human cancers. The p53 mutation database consists of a list of point mutations in thep53 gene of human tumors and cell lines, compiled from the published literature and made available through electronic media. The database is now maintained at the International Agency for Research on Cancer (IARC) and is updated twice a year. The current version contains records on 5091 published mutations and is expected to surpass the 6000 mark in the January 1997 release. The database is available in various formats through the European Bioinformatics Institute (EBI) ftp server at: ftp://ftp.ebi.ac.uk/pub/databases/p53/ or by request from IARC (p53database@iarc.fr) and will be searchable through the SRS system in the near future. This report provides a description of the criteria for inclusion of data and of the current formats, a summary of the relevance ofp53 mutation analysis to clinical and biological questions, and a brief discussion of the prospects for future developments.

Background: Mutation of the p53 tumor suppressor gene (also known as TP53) often leads to the synthesis of p53 protein that has a longer than normal half-life. Mutant p53 protein that accumulates in tumor cell nuclei can be detected by means of immunohistochemical staining techniques. Serum antibodies directed against p53 protein (p53-Abs) have been detected in some cancer patients., Purpose: We assayed serum samples from 80 patients with head and neck squamous cell carcinoma (HNSCC) for the presence of p53-Abs, and we evaluated potential associations between the presence of these antibodies and other histopathologic and clinical features., Methods: Serum was collected from each patient at the time of diagnosis. In addition, tumor biopsy specimens were obtained before the initiation of treatment. An enzyme-linked immunosorbent assay was used to detect p53-Abs. The accumulation of p53 protein in tumor cell nuclei was assessed immunohistochemically by use of the anti-p53 monoclonal antibody DO7. Patient treatment consisted of radiotherapy alone, primary chemotherapy followed by radiotherapy, or surgery and postoperative radiotherapy. Relapse-free and overall survival from the beginning of treatment were estimated by use of the Kaplan-Meier method; survival comparisons were made by use of the logrank statistic. Univariate and multivariate analyses were conducted to identify factors associated with survival. Reported P values are two-sided., Results: Fifteen (18.8%) of the 80 patients had p53-Abs. Tumor cell nuclei in 43 (58.9%) of 73 assessable biopsy specimens exhibited strong p53 immunostaining. Patient treatment method and the accumulation of p53 protein in tumor cell nuclei were not associated with increased risks of relapse or death. In univariate analyses, advanced tumor stage (> T1 [TNM classification]) and the presence of p53-Abs were significantly associated with an increased risk of death (P for trend = .007 and P = .002, respectively), whereas advanced tumor stage, substantial regional lymph node involvement (> N1), and the presence of p53-Abs were associated with an increased risk of relapse (P for trend = .002, P = .02, and P < .0001, respectively). In multivariate analyses, advanced tumor stage and the presence of p53-Abs were significantly associated with increased risks of relapse (p for trend = .04 and P = .003, respectively) and death (P for trend = .04 and P = .03, respectively). At 2 years of follow-up, the overall survival proportion was 63% (95% confidence interval [CI] = 47%-80%) when no p53-Abs were detected compared with 29% (95% CI = 4%-54%) when p53-Abs were detected. Relapse-free survival at 2 years was 62% (95% CI = 49%-76%) if no p53-Abs were detected compared with 13% (95% CI = 0%-31%) if p53-Abs were detected., Conclusions and Implications: The proportion of patients with HNSCC who have serum p53-Abs is smaller than that of patients exhibiting tumor cell accumulation of p53 protein. The presence of p53-Abs is significantly associated with increased risks of relapse and death.

In 1994 we described a list of approximately 2500 point mutations in the p53 gene of human tumors and cell lines which we had compiled from the published literature and made available electronically through the file server at the EMBL Data Library. This database, updated twice a year, now contains records on 4496 published mutations (July 1995 release) and can be obtained from the EMBL Outstation-the European Bioinformatics Institute (EBI) through the network or on CD-ROM. This report describes the criteria for inclusion of data in this database, a description of the current format and a brief discussion of the current relevance of p53 mutation analysis to clinical and biological questions.

Fibrillin is the major component of extracellular microfibrils. Mutations in the fibrillin gene on chromosome 15 (FBN1) were described at first in the heritable connective tissue disorder, Marfan syndrome (MFS). More recently, FBN1 has also been shown to harbor mutations related to a spectrum of conditions phenotypically related to MFS and many mutations will have to be accumulated before genotype/phenotype relationships emerge. To facilitate mutational analysis of the FBN1 gene, a software package along with a computerized database (currently listing 63 entries) have been created.

We have created databases and software applications for the analysis of DNA mutations in the human p53 gene, the human hprt gene and the rodent transgenic lacZ locus. The databases themselves are stand-alone dBase files and the software for analysis of the databases runs on IBM- compatible computers. The software created for these databases permits filtering, ordering, report generation and display of information in the database. In addition, a significant number of routines have been developed for the analysis of single base substitutions. One method of obtaining the databases and software is via the World Wide Web (WWW). Open home page http://sunsite.unc.edu/dnam/mainpage.ht ml with a WWW browser. Alternatively, the databases and programs are available via public ftp from anonymous@sunsite.unc.edu. There is no password required to enter the system. The databases and software are found in subdirectory pub/academic/biology/dna-mutations. Two other programs are available at the WWW site, a program for comparison of mutational spectra and a program for entry of mutational data into a relational database.

A database is described in which over 700 mutations in the human APC gene of tumors (colon cancer predominantly) are compiled from the literature. It includes both molecular informations about the mutations and also clinical data about the patients. A software have been designed in order to analyse all these informations in the database.

A large number of different mutations in the tumor suppressor gene p53 gene have been identified in all types of cancer. As of September 1995, this database contains over 4200 mutations. This substantial increase since our previous report can enable epidemiological analyses which were not previously possible. In order to capture all these new data, the software permitting analysis has been improved. This report describes the various improvements since first release of the database.

A data base is described in which over 2,500 mutations in the p53 gene of human tumors and tumor cell lines are compiled from a systematic search of reports published before 1 January 1994. Data from 1994 are being added intermittently, with a systematic search and update scheduled for December, 1994. The compilation has been deposited with the EMBL Data Library and is available in electronic form free of charge. This report contains a rationale for the compilation, a brief summary of the major findings and a description of the data base.

A computerized database containing DNA sequence information regarding human p53 mutants has been created. The database itself is in the dBASE format and contains information on nearly 3000 mutants. In addition, an IBM PC compatible software package to analyze the information in the database has been developed. Both the database and software are freely available via the Internet.