His primary scientific interests are in Cancer, Genetics, Mutation, Gene and Cancer research. His Cancer study incorporates themes from Lung cancer, Immunology and Bioinformatics. His Disease research extends to the thematically linked field of Genetics.
His studies examine the connections between Mutation and genetics, as well as such issues in Carcinogen, with regards to Incidence. As part of the same scientific family, Pierre Hainaut usually focuses on Gene, concentrating on DNA damage and intersecting with Oxidative stress, Plasma protein binding and Transcription factor. His work carried out in the field of Cancer research brings together such families of science as Carcinoma, Genotoxicity, Loss of heterozygosity, Tumor suppressor gene and Cell surface receptor.
Pierre Hainaut mainly focuses on Cancer, Internal medicine, Genetics, Cancer research and Oncology. The various areas that he examines in his Cancer study include Mutation, Case-control study and Bioinformatics. Pierre Hainaut combines subjects such as Gastroenterology and Pathology with his study of Internal medicine.
His is doing research in Gene, Germline mutation, Germline, Mutation and Mutant, both of which are found in Genetics. His Gene research includes themes of Molecular biology and DNA damage. Cancer research is often connected to Tumor suppressor gene in his work.
His scientific interests lie mostly in Cancer, Internal medicine, Oncology, Cancer research and Genetics. Pierre Hainaut works on Cancer which deals in particular with Breast cancer. His Internal medicine research focuses on subjects like Pathology, which are linked to Hepatitis B.
His work carried out in the field of Cancer research brings together such families of science as Cell cycle checkpoint, Downregulation and upregulation, Signal transduction and Pancreatic cancer. His study on Genetics is mostly dedicated to connecting different topics, such as Age of onset. His research integrates issues of Immunohistochemistry, Mutation, KRAS and Proportional hazards model in his study of Lung cancer.
Pierre Hainaut focuses on Cancer, Internal medicine, Oncology, Germline and Cancer research. His studies in Cancer integrate themes in fields like Biochemistry and Bioinformatics. As a part of the same scientific family, Pierre Hainaut mostly works in the field of Internal medicine, focusing on Pathology and, on occasion, SOX4, Stem cell and Cell cycle.
Pierre Hainaut focuses mostly in the field of Oncology, narrowing it down to topics relating to Odds ratio and, in certain cases, Immunology, Cell aging, Young adult and C-reactive protein. His Germline study necessitates a more in-depth grasp of Genetics. His Cancer research research is multidisciplinary, incorporating elements of Pancreatic cancer, Circulating tumor cell, Molecular heterogeneity, Targeted therapy and Signal transduction.
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Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database.
Audrey Petitjean;Ewy Mathe;Ewy Mathe;Shunsuke Kato;Chikashi Ishioka.
Human Mutation (2007)
TP53 Mutations in Human Cancers: Origins, Consequences, and Clinical Use
Magali Olivier;Monica Hollstein;Pierre Hainaut.
Cold Spring Harbor Perspectives in Biology (2010)
A global view of hepatocellular carcinoma: trends, risk, prevention and management.
Ju Dong Yang;Pierre Hainaut;Gregory J. Gores;Amina Amadou.
Nature Reviews Gastroenterology & Hepatology (2019)
The IARC TP53 database: new online mutation analysis and recommendations to users.
Magali Olivier;Ros Eeles;Monica Hollstein;Mohammed A. Khan.
Human Mutation (2002)
A susceptibility locus for lung cancer maps to nicotinic acetylcholine receptor subunit genes on 15q25
Rayjean J. Hung;James D. Mckay;Valerie Gaborieau;Paolo Boffetta.
p53 and human cancer: the first ten thousand mutations.
Pierre Hainaut;Monica Hollstein.
Advances in Cancer Research (2000)
Tobacco smoke carcinogens, DNA damage and p53 mutations in smoking-associated cancers
Gerd P Pfeifer;Mikhail F Denissenko;Magali Olivier;Natalia Tretyakova.
TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes
A. Petitjean;Maria I.A.S.W. Achatz;Anne-Lise Borresen-Dale;P. Hainaut.
Li-Fraumeni and related syndromes: correlation between tumor type, family structure, and TP53 genotype.
Magali Olivier;David E. Goldgar;Nayanta Sodha;Hiroko Ohgaki.
Cancer Research (2003)
The clinical value of somatic TP53 gene mutations in 1,794 patients with breast cancer.
Magali Olivier;Anita Langerød;Patrizia Carrieri;Jonas Bergh.
Clinical Cancer Research (2006)
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