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Biomedical subjects

Judith A Welsh

Publications and source records attributed to Judith A Welsh.

5 recordsLinked to original sources
PubMed2006

MDM2 SNP309 and SNP354 are not associated with lung cancer risk.

A single nucleotide polymorphism (SNP) in the MDM2 promoter (a T to G exchange at nucleotide 309) has been found to be associated with tumor formation. Publication of this null report is important because an association between MDM2 SNP309 and lung cancer was previously reported in two independent studies. Our findings suggest that MDM2 SNP309 is not a strong factor in lung carcinogenesis. In addition, this is the first MDM2 SNP309 report on a population consisting of Caucasians in the United States and African-Americans. A strength of the study design is that the controls consist of both population and hospital controls.

Black People↗
PubMed2005

TP53 mutation spectrum in lung cancer is not different in women and men.

Whether women are more susceptible to lung cancer than men has been controversial. Several case-control studies suggested that women have greater risk of lung cancer compared with men at similar levels of cigarette smoking, whereas some large cohort studies failed to observe this association. Other studies indicated that lung cancer may have biological characteristics and mechanisms of carcinogenesis that are gender specific. Therefore, we hypothesized that women are more susceptible to the carcinogenic effects of tobacco smoke exposure, as evidenced by a higher frequency of G:C-to-T:A somatic mutations in tumors from women in comparison with men at similar levels of tobacco smoke exposure. To investigate our hypothesis, we examined the TP53 mutational spectrum in a case-only (102 women and 201 men) series study where complete smoking information was available. A similar frequency and type of somatic TP53 mutations were observed in women and men. In conclusion, our study indicates that the TP53 mutation spectrum is similar in women and men. Our results are consistent with a recent large cohort study and summary of previous cohort studies, suggesting that women likely have equivalent susceptibility to lung cancer as men.

Female↗
PubMed2004

Polymorphisms in XPD and TP53 and mutation in human lung cancer.

The pattern of somatic mutations in TP53 is distinct for particular cancers and carcinogenic exposures, providing clues to disease etiology, e.g. G:C-->T:A mutations in TP53 are more frequently observed in smoking-associated lung cancers. In order to investigate possible causes and mechanisms of lung cancer susceptibility differences, the TP53 gene was sequenced in a case-only study of lung cancers (206 men and 103 women). Our primary hypothesis was that the TP53 mutation spectrum is influenced by polymorphisms in genes involved in DNA repair and apoptosis. We observed a TP53 mutation frequency in exons 5-8 of 25%. Functional polymorphisms in XPD (Asp312Asn, rs1799793 and Lys751Gln, rs1052559), a protein required for nucleotide excision repair and with roles in p53-mediated apoptosis, were modestly associated with G:C-->T:A mutations in TP53 in lung tumors [Asp/Asn312 + Asn/Asn312 and/or Lys/Gln751 + Gln/Gln751 versus Asp/Asp312 + Lys/Lys751; odds ratio (OR) 2.73, 95% confidence interval (CI) 0.98-7.61], consistent with the role of this protein in repair of bulky carcinogen-DNA adducts. In addition, a TP53 polymorphism (Arg72Pro, rs1042522) with a known role in the efficiency of apoptosis was also associated with the presence of a TP53 mutation (Pro/Arg72 or Pro/Pro72 versus Arg/Arg72; OR 2.25, 95% CI 1.21-4.17) or a G:C-->T:A mutation in TP53 (Pro/Arg72 or Pro/Pro72 versus Arg/Arg72; OR 2.42, 95% CI 0.97-6.04). An interaction between the XPD variant alleles (Asn312 and Gln751) and the TP53 Pro72 allele was observed for TP53 mutations (any TP53 mutation P(int) = 0.027, G:C-->T:A TP53 mutation P(int) = 0.041). The statistical interaction observed in our study is consistent with the observed biological interaction for XPD and p53 in nucleotide excision repair and apoptosis. In conclusion, differences in TP53 mutation spectra in lung tumors are associated with several genetic factors and may reflect differences in lung cancer susceptibility and carcinogenesis.

Base Sequence↗
PubMed2004

Identification of carboxypeptidase E and gamma-glutamyl hydrolase as biomarkers for pulmonary neuroendocrine tumors by cDNA microarray.

Pulmonary neuroendocrine tumors vary dramatically in their malignant behavior. Their classification, based on histological examination, is often difficult. In search of molecular and prognostic markers for these tumors, we used cDNA microarray analysis of human transcripts against reference RNA from a well-characterized immortalized bronchial epithelial cell line, BEAS-2B. Tumor cells were isolated by laser-capture microdissection from primary tumors of 17 typical carcinoids, small cell lung cancers, and large cell neuroendocrine carcinomas. An unsupervised, hierarchical clustering algorithm resulted in a precise classification of each tumor subtype according to the proposed histological classification. Selection of genes, using supervised analysis, resulted in the identification of 198 statistically significant genes (P <.004) that also accurately discriminated between 3 predefined tumor subtypes. Two-by-two comparisons of these genes identified classifier genes that distinguished each tumor subtype from the others. Changes in expression of selected differentially expressed genes for each tumor subtype were internally validated by real-time reverse-transcription polymerase chain reaction. Expression of 2 potential classifier gene products, carboxypeptidase E (CPE) and gamma-glutamyl hydrolase (GGH), was validated by immunohistochemistry and cross-validated on additional archival samples of pulmonary neuroendocrine tumors. Kaplan-Meier survival analysis revealed that immunostaining for CPE was a statistically significant predictor of good prognosis, whereas GGH expression correlated with poor prognosis. Thus, cDNA microarray analysis led to the identification of 2 novel biomarkers that should facilitate molecular diagnosis and further study of pulmonary neuroendocrine tumors.

Biomarkers, Tumor↗