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p53 gene analysis in childhood B non - Hodgkin's lymphoma

Overview of attention for article published in Sao Paulo Medical Journal, November 2001
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Title
p53 gene analysis in childhood B non - Hodgkin's lymphoma
Published in
Sao Paulo Medical Journal, November 2001
DOI 10.1590/s1516-31802001000600006
Pubmed ID
Authors

Claudete Esteves Nogueira Pinto Klumb, Lídia Maria Magalhães de Resende, Eloísa Helena Tajara, Erika Cristina Pavarino Bertelli, Vivian Mary Rumjanek, Raquel Ciuvalschi Maia

Abstract

Mutations or deletions in the tumor-suppressor gene p53 are among the commonest genetic changes found in human neoplasms including breast, lung and bowel cancers. In hematological malignancies, p53 is most often mutated in Burkitt's lymphoma, with p53 mutations present in 30 to 40% of tumor samples and in 70% of cell lines. To analyze the p53 gene alterations in child patients with B non-Hodgkin's lymphoma. Descriptive study. Tertiary oncology care center. The study investigated 12 patients with childhood B non-Hodgkin's lymphoma (Burkitt's lymphoma). Screening for p53 mutations was done by polymerase chain reaction-single strand conformational polymorphism (PCR-SSCP) analysis of exon 5 to 8/9 of the gene. Abnormal polymerase chain reaction-single strand conformational polymorphism migration pattern was observed in 4 patients (33.3%), one on exon 6 and three on exon 7. Positive cases included 2 patients who died from disease. These preliminary results suggest that p53 mutations are quite frequent in children with Burkitt's lymphoma and may play a role in lymphoma genesis or disease progression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 17%
Student > Bachelor 2 17%
Student > Master 2 17%
Researcher 2 17%
Professor 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 17%
Nursing and Health Professions 2 17%
Medicine and Dentistry 2 17%
Agricultural and Biological Sciences 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Other 2 17%
Unknown 2 17%