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Biomedical subjects

Thierry Soussi

Publications and source records attributed to Thierry Soussi.

At least 19 recordsLinked to original sources

Pediatric Cancer Variant Pathogenicity Information Exchange (PeCanPIE): a cloud-based platform for curating and classifying germline variants.

Variant interpretation in the era of massively parallel sequencing is challenging. Although many resources and guidelines are available to assist with this task, few integrated end-to-end tools exist. Here, we present the Pediatric Cancer Variant Pathogenicity Information Exchange (PeCanPIE), a web- and cloud-based platform for annotation, identification, and classification of variations in known or putative disease genes. Starting from a set of variants in variant call format (VCF), variants are annotated, ranked by putative pathogenicity, and presented for formal classification using a decision-support interface based on published guidelines from the American College of Medical Genetics and Genomics (ACMG). The system can accept files containing millions of variants and handle single-nucleotide variants (SNVs), simple insertions/deletions (indels), multiple-nucleotide variants (MNVs), and complex substitutions. PeCanPIE has been applied to classify variant pathogenicity in cancer predisposition genes in two large-scale investigations involving >4000 pediatric cancer patients and serves as a repository for the expert-reviewed results. PeCanPIE was originally developed for pediatric cancer but can be easily extended for use for nonpediatric cancers and noncancer genetic diseases. Although PeCanPIE's web-based interface was designed to be accessible to non-bioinformaticians, its back-end pipelines may also be run independently on the cloud, facilitating direct integration and broader adoption. PeCanPIE is publicly available and free for research use.

Child↗

Meta-analysis of the p53 mutation database for mutant p53 biological activity reveals a methodologic bias in mutation detection.

PURPOSE: Analyses of the pattern of p53 mutations have been essential for epidemiologic studies linking carcinogen exposure and cancer. We were concerned by the inclusion of dubious reports in the p53 databases that could lead to controversial analysis prejudicial to the scientific community. EXPERIMENTAL DESIGN: We used the universal mutation database p53 database (21,717 mutations) combined with a new p53 mutant activity database (2,300 mutants) to perform functional analysis of 1,992 publications reporting p53 alterations. This analysis was done using a statistical approach similar to that of clinical meta-analyses. RESULTS: This analysis reveals that some reports of infrequent mutations are associated with almost normal activities of p53 proteins. These particular mutations are frequently found in studies reporting multiple mutations in one tumor, silent mutations, or lacking mutation hotspots. These reports are often associated with particular methodologies, such as nested PCR, for which key controls are not satisfactory. CONCLUSIONS: We show the importance of accurate functional analysis before inferring any genetic variation. The quality of the p53 databases is essential in order to prevent erroneous analysis and/or conclusions. The availability of functional data from our new p53 web site (http://p53.free.fr and http://www.umd.be:2072/) will allow functional prescreening to identify potential artifactual data.

Databases, Factual↗

The UMD TP53 database and website: update and revisions.

Mutation of the p53 gene is the most frequent genetic alteration found in human cancer, but it is also the most frequently reported with more than 22,000 mutations published in 2,000 papers. In 1991, we developed a database and software to handle and analyze all this information. The database has been widely used for clinical analysis and molecular epidemiology. We have expanded the scope of the database by integrating structural, phylogenetic and biological information on wild-type (wt) and mutant TP53. Integration of the TP53 mutant activity database provides unique information that will be useful to both clinicians and scientists. All of this information is available from a new website (www.umd.be:2072/) that will generate a detailed informative page for every TP53 mutant in the database. New tools to check TP53 mutations and minimize errors found in the literature are also available.

DNA Mutational Analysis↗

Locus-specific mutation databases: pitfalls and good practice based on the p53 experience.

Between 50,000 and 60,000 mutations have been described in various genes that are associated with a wide variety of diseases. Reporting, storing and analysing these data is an important challenge as such data provide invaluable information for both clinical medicine and basic science. Locus-specific databases have been developed to exploit this huge volume of data. The p53 mutation database is a paradigm, as it constitutes the largest collection of somatic mutations (22,000). However, there are several biases in this database that can lead to serious erroneous interpretations. We describe several rules for mutation database management that could benefit the entire scientific community.

Database Management Systems↗

The TP53 colorectal cancer international collaborative study on the prognostic and predictive significance of p53 mutation: influence of tumor site, type of mutation, and adjuvant treatment.

PURPOSE: The aims of the TP53 Colorectal Cancer (CRC) International Collaborative Study were to evaluate the possible associations between specific TP53 mutations and tumor site, and to evaluate the prognostic and predictive significance of these mutations in different site, stage, and treatment subgroups. PATIENTS AND METHODS: A total of 3,583 CRC patients from 25 different research groups in 17 countries were recruited to the study. Patients were divided into three groups according to site of the primary tumor. TP53 mutational analyses spanned exons 4 to 8. RESULTS: TP53 mutations were found in 34% of the proximal colon tumors and in 45% of the distal colon and rectal tumors. They were associated with lymphatic invasion in proximal tumors. In distal colon tumors, deletions causing loss of amino acids were associated with worse survival. In proximal colon tumors, mutations in exon 5 showed a trend toward statistical significance (P < .05) when overall survival was considered. Dukes' C tumors with wild-type TP53 and those with mutated TP53 (proximal tumors) showed significantly better prognosis when treated with adjuvant chemotherapy. CONCLUSION: Analysis of TP53 mutations from a large cohort of CRC patients has identified tumor site, type of mutation, and adjuvant treatment as important factors in determining the prognostic significance of this genetic alteration.

Adenocarcinoma, Mucinous↗

Reassessment of the TP53 mutation database in human disease by data mining with a library of TP53 missense mutations.

TP53 alteration is the most frequent genetic alteration found in human cancers. To date, more than 15,000 tumors with TP53 mutations have been published, leading to the description of more than 1,500 different TP53 mutants (http://p53.curie.fr). The frequency of these mutants is highly heterogeneous, with 11 hotspot mutants found more than 100 times, whereas 306 mutants have been reported only once. So far, little is known concerning the biological significance of these rare mutants, as the majority of biological studies have focused on classic hotspot mutants. In order to gain a deeper knowledge about the significance of all of these mutants, we have cross-checked each mutant of the TP53 mutation database for its activity, derived from a library of 2,314 TP53 mutants representing all possible amino acid substitutions caused by a point mutation. The transactivation activity of all of these mutant was analyzed with respect to eight transcription promoters [Kato S, et al., Proc Natl Acad Sci USA (2003)100:8424-8429]. Although the most frequent TP53 mutants sustain a clear loss of transactivation activity, more than 50% of the rare TP53 mutants display significant activity. Analysis in specific types of cancer or in normal skin patches demonstrates a similar distribution of TP53 loss of activity, with the exception of melanoma, in which the majority of TP53 mutants display significant activity. Our data indicate that TP53 mutants represent a highly heterogeneous population with a large diversity in terms of loss of transactivation activity that could account for the heterogeneous tumor phenotypes and the difficulty of clinical studies.

Arthritis, Rheumatoid↗

UMD (Universal Mutation Database): 2005 update.

With the completion of the Human Genome Project, our vision of human genetic diseases has changed. The cloning of new disease-causing genes can now be performed in silico, and thousands of mutations are being identified in diagnostic and research laboratories yearly. Knowledge about these mutations and their association with clinical and biological data is essential for clinicians, geneticists, and researchers. To collect and analyze these data, we developed a generic software called Universal Mutation Databases (UMD) to create locus-specific databases. Here we report the new release (September 2004) of this freely available tool (www.umd.be), which allows the creation of LSDBs for virtually any gene and includes a large set of new analysis tools. We have implemented new features to integrate noncoding sequences, clinical data, pictures, monoclonal antibodies, and polymorphic markers (SNPs). Today the UMD retains all specifically designed tools to analyze mutations at the molecular level, as well as new sets of routines to search for genotype-phenotype correlations. We also created specific tools for infrequent mutations such as gross deletions and duplications, and deep intronic mutations. A large set of dedicated tools are now available for intronic mutations, including methods to calculate the consensus values (CVs) of potential splice sites and to search for exonic splicing enhancer (ESE) motifs. In addition, we have created specific routines to help researchers design new therapeutic strategies, such as exon skipping, aminoglycoside read-through of stop codons, or monoclonal antibody selection and epitope scanning for gene therapy.

Alternative Splicing↗

Quantitative fish determination of chromosome 3 arm imbalances in lung tumors by automated image cytometry.

BACKGROUND: Clonal heterogeneity is a major difficulty in the analysis of chromosome rearrangements within tumor tissue. Using in situ hybridization, a cell-to-cell analysis can be performed and should allow a better understanding of the genetic process. In addition, detection of pre-neoplastic lesions with only a few cells involved may improve the diagnosis of such lesions and their precocious treatment. MATERIAL/METHODS: Automated analysis was performed on tissue sections with our previously described two-color fluorescence in situ hybridization-based method for quantitative determination of chromosome arm imbalance. The imbalance between the long and short arms of chromosome 3 was determined in 24 cases of non-small-cell and small-cell lung cancers in which only small snap-frozen sections were used, allowing other simultaneous molecular analyses, such as TP53 gene mutation detection. RESULTS: Specifically developed software allowed localization of each nucleus within the section with regard to its chromosome imbalance and to reconstitute a multi-clonal panel within an apparently homogeneous sample. In some cases, discrepancies in the imbalance values were observed between the biopsy and the tumor obtained after surgery from the same patient. CONCLUSIONS: The discrepancies observed between biopsies and tumors, likely linked to the samples' heterogeneity, demonstrate the necessity to analyze tissue sections collected at various locations. The fully automated approach developed in this study rendered such investigations possible.

Cell Transformation, Neoplastic↗

Versatile analysis of multiple macromolecular interactions by SPR imaging: application to p53 and DNA interaction.

The greatest challenge in the postgenomic era is the description of proteome interactions, such as protein-protein or protein-DNA interactions. Surface plasmon resonance (SPR) is an optical technique in which binding of an analyte to the surface changes the refractive index at the surface/solution interface. Molecular interactions are analysed in real time without a labeling step. Currently, the limit to SPR imaging is the small number of reactions that can be simultaneously analysed. Using a novel grafting technology and a new imaging system, we increased the throughput of SPR imaging. The interaction between p53 and DNA was chosen as a paradigm for validation of this assay. Using a tagged DNA methodology, we simultaneously targeted multiple DNA sequences on a single chip. The interaction between p53 and these DNA sequences was monitored by SPR imaging. Qualitative and quantitative analysis provides results similar to those obtained with conventional technologies.

DNA↗

Rapid and sensitive p53 alteration analysis in biopsies from lung cancer patients using a functional assay and a universal oligonucleotide array: a prospective study.

PURPOSE: Molecular profiling of alterations associated with lung cancer holds the promise to define clinical parameters such as response to treatment or survival. Because <5% of small cell lung cancers and <30% of non-small cell lung cancers are surgically resectable, molecular analysis will perforce rely on routinely available clinical samples such as biopsies. Identifying tumor mutations in such samples will require a sensitive and robust technology to overcome signal from excess amounts of normal DNA. EXPERIMENTAL DESIGN: p53 mutation status was assessed from the DNA and RNA of biopsies collected prospectively from 83 patients with lung cancer. Biopsies were obtained either by conventional bronchoscopy or computed tomography-guided percutaneous biopsy. Matched surgical specimens were available for 22 patients. Three assays were used: direct sequencing; a functional assay in yeast; and a newly developed PCR/ligase detection reaction/Universal DNA array assay. RESULTS: Using the functional assay, p53 mutation was found in 62% of biopsies and 64% of surgical specimens with a concordance of 80%. The sensitivity of the functional assay was determined to be 5%. Direct sequencing confirmed mutations in 92% of surgical specimens but in only 78% of biopsies. The DNA array confirmed 100% of mutations in both biopsies and surgical specimens. Using this newly developed DNA array, we demonstrate the feasibility of directly identifying p53 mutations in clinical samples containing <5% of tumor cells. CONCLUSIONS: The versatility and sensitivity of this new array assay should allow additional development of mutation profiling arrays that could be applied to biological samples with a low tumor cell content such as bronchial aspirates, bronchoalveolar lavage fluid, or serum.

Aged↗

Harmonized microarray/mutation scanning analysis of TP53 mutations in undissected colorectal tumors.

Both the mutational status and the specific mutation of TP53 (p53) have been shown to impact both tumor prognosis and response to therapies. Molecular profiling of solid tumors is confounded by infiltrating wild-type cells, since normal DNA can interfere with detection of mutant sequences. Our objective was to identify TP53 mutations in 138 stage I-IV colorectal adenocarcinomas and liver metastases without first enriching for tumor cells by microdissection. To achieve this, we developed a harmonized protocol involving multiplex polymerase chain reaction/ligase detection reaction (PCR/LDR) with Universal DNA microarray analysis and endonuclease V/ligase mutation scanning. Sequences were verified using dideoxy sequencing. The harmonized protocol detected all 66 mutations. Dideoxy sequencing detected 41 out of 66 mutations (62%) using automated reading, and 59 out of 66 mutations (89%) with manual reading. Data analysis comparing colon cancer entries in the TP53 database (http://p53.curie.fr) with the results reported in this study showed that distribution of mutations and the mutational events were comparable.

Adenocarcinoma↗

ThinPrep-processed fine-needle samples of breast are effective material for RNA- and DNA-based molecular diagnosis: application to p53 mutation analysis.

BACKGROUND: Fine-needle sampling is the least invasive method of in vivo breast carcinoma sampling and can provide material for breast carcinoma diagnosis. The aim of the current study was to assess the accuracy of molecular diagnosis techniques using fine-needle sample (FNS) material stored in PreservCyt (Cytyc Corp., Boxborough, MA). METHODS: The p53 tumor suppressor gene was chosen as a model because it can be used for DNA, RNA, and protein analysis. Molecular analysis was performed using a yeast functional assay and DNA sequencing. p53 accumulation was evaluated by immunocytochemistry. RESULTS: DNA and protein analysis indicated that samples stored for periods of several months, either at room temperature, 4 degrees C, or -20 degrees C, can be processed reliably. For RNA-based diagnosis, samples were still intact after 5 months of storage in PreservCyt at 4 degrees C. In addition, using FNS material that was stored for 16 months at 4 degrees C, the authors detected p53 mutations with either the functional assay for separating alleles in yeast (an RNA-based functional assay) or direct cDNA sequencing. CONCLUSIONS: Fine-needle samples stored in PreservCyt at 4 degrees C are very good material for molecular diagnosis techniques. In addition, it is feasible to adopt a strategy of storing excess FNS material to create cellular banks that will be invaluable for future gene studies.

Biopsy, Needle↗

Data mining the p53 pathway in the Fugu genome: evidence for strong conservation of the apoptotic pathway.

The p53 tumour suppressor gene belongs to a small family of related proteins that includes two other members, p63 and p73. Phylogenetic and functional studies suggest that p63 and p73 are ancient genes that have essential roles in normal development, whereas p53 seems to have evolved more recently to prevent cell transformation. In mammalian cells, a plethora of proteins have been found to specifically regulate p53 activity. The genome of the fish Fugu rubripes has been recently published. It is the second vertebrate genome for which the entire sequence is now available. Phylogenetic studies are essential in order to analyse and define signalling pathways important for cell cycle regulation. The presence or absence of a critical member in any pathway can shed light about the evolution of these pathways. The Fugu genome databank has been analysed for several members of the p53 network, including p53, p63 and p73. A good conservation of the network that regulates p53 stability and apoptosis has been found. We also discovered that some cofactors that cooperate with p53 for apoptosis are also well conserved and belong to multigene families not detected in the human genome.

Animals↗

Change of conformation of the DNA-binding domain of p53 is the only key element for binding of and interference with p73.

Xenopus p53 has biological and biochemical properties similar to those of human p53, except for optimal temperature. The frog protein is fully active at 30 degrees C and inactive at 37 degrees C, leading to a temperature-sensitive behavior similar to that of the human mutant p53Ala(143) and the murine mutant p53Val(135). Using hybrid proteins between human and Xenopus expressed from artificial p53 minigenes, we have been able to demonstrate that change of conformation of the DNA-binding domain is the major determinant of this heat sensitivity. It has been reported that some human tumor-derived p53 mutants can engage in a physical association with p73, thus inhibiting its transactivating properties. The mechanism of this association remains to be elucidated. The nature of the mutant p53 that can engage in this association also remains controversial. Using the unique opportunity of the temperature sensitivity of Xenopus p53, we demonstrate that binding of and interference with p73 require a change of conformation in the p53 protein. This interaction occurs through the DNA-binding domain of p53 only when it is in a denatured state. These results reinforce the notion that mutant p53 with a conformational change can act as a down-regulator of the p73 pathway in human cancer and could confer a selective advantage to the tumor.

Animals↗

The UMD-p53 database: new mutations and analysis tools.

The tumor suppressor gene TP53 (p53) is the most extensively studied gene involved in human cancers. More than 1,400 publications have reported mutations of this gene in 150 cancer types for a total of 14,971 mutations. To exploit this huge bulk of data, specific analytic tools were highly warranted. We therefore developed a locus-specific database software called UMD-p53. This database compiles all somatic and germline mutations as well as polymorphisms of the TP53 gene which have been reported in the published literature since 1989, or unpublished data submitted to the database curators. The database is available at www.umd.necker.fr or at http://p53.curie.fr/. In this paper, we describe recent developments of the UMD-p53 database. These developments include new fields and routines. For example, the analysis of putative acceptor or donor splice sites is now automated and gives new insight for the causal role of "silent mutations." Other routines have also been created such as the prescreening module, the UV module, and the cancer distribution module. These new improvements will help users not only for molecular epidemiology and pharmacogenetic studies but also for patient-based studies. To achieve theses purposes we have designed a procedure to check and validate data in order to reach the highest quality data.

Databases, Genetic↗

Significance of TP53 mutations in human cancer: a critical analysis of mutations at CpG dinucleotides.

A detailed analysis of p53 (TP53) mutations involving the 42 CpG dinucleotides was performed to gain greater insight into the mutational mechanism leading to specific selection of these mutations. Although the majority of these CpG dinucleotides have been found to be mutated in cancer cells, the heterogeneous frequency of mutational events suggests that some mutations are not true mutations, but neutral changes that have been co-selected during oncogenic transformation. Among the 1,400 variants found in the 15,000 mutations of the p53 database, 5% have only been described once, indicating that either the mutational event is rare, or the mutation phenotype is very mild, or both. Overall, these data indicate that great caution is required when analyzing the significance of p53 mutations.

Breast Neoplasms↗

Serum p53 antibodies in patients with lung cancer: correlation with clinicopathologic features and smoking.

Abnormalities of p53 gene can lead to the production of p53 antibodies (p53-Abs) in the serum of cancer patients. This study was designed to investigate the prevalence of p53-Abs in 133 lung cancer patients and the distribution of these antibodies to clinicopathologic features and smoking status. Twenty five (18.8%) lung cancer patients were found to have p53-Abs. The presence of p53-Abs did not correlate with sex or age but showed frequent association with tumors of squamous cell carcinoma (31%) in comparison with adenocarcinoma (13.6%) (P=0.052). There was a statistically significant difference in the incidence of p53-Abs between early disease group (stage I-II) and the advanced group (stage III-IV) (P=0.036), however, there was no relationship between the presence of p53-Abs and overall survival. Interestingly, the frequent of p53-Abs was higher in smokers (27.1%) than in non-smokers (13.6%), though the difference was of borderline of statistical significance (P=0.061). These findings suggested that p53-Abs could be a potential biomarker for the study of individual with lung cancer.

Adenocarcinoma↗