Literature DB >> 15905687

Towards improved biomarker studies of cervical neoplasia: effects of precolposcopic procedures on gene expression patterns.

Sophia S Wang1, Abhijit Dasgupta, Mark E Sherman, Joan L Walker, Michael A Gold, Rosemary Zuna, Lori Sakoda, Sholom Wacholder, Mark Schiffman, Carl C Baker.   

Abstract

Among tumor sites, cervical cancer offers an ideal model for investigating differences in gene expression associated with transitions from normal to precancer and invasion to cancer. To evaluate the validity of assessing gene expression in cervical tissues acquired in a clinical setting, we investigated whether standard procedures, namely the application of acetic acid and/or Lugol's iodine, employed for the visualization of colposcopically directed biopsies, altered patterns in oligonucleotide (oligo) arrays. We compared microarray profiles from six women, each with three adjacent tissue samples removed from benign hysterectomy specimens and treated as follows: immediately frozen, acetic acid application only, acetic acid, and Lugol's iodine. Of the 22,464 original spots on the microarray, 4,850 spots were expressed at detectable levels for further evaluation upon data normalization and filtration. For each spot, the difference between topical applications was computed, and P values were calculated using a bivariate T2 test. Upon adjustment for multiple comparisons using both the Holm's and Hochberg's procedures as well as the False Discovery Rate (Benjamini-Hochberg and Benjamini-Yeuketili [BY]), we failed to identify genes differentially expressed and conclude that standard precolposcopic procedures do not substantially affect the overall gene expression patterns in the normal cervix.

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Year:  2005        PMID: 15905687     DOI: 10.1097/01.pas.0000162754.45908.d4

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  2 in total

1.  Human papillomavirus cofactors by disease progression and human papillomavirus types in the study to understand cervical cancer early endpoints and determinants.

Authors:  Sophia S Wang; Rosemary E Zuna; Nicolas Wentzensen; S Terence Dunn; Mark E Sherman; Michael A Gold; Mark Schiffman; Sholom Wacholder; Richard A Allen; Ingrid Block; Kim Downing; Jose Jeronimo; J Daniel Carreon; Mahboobeh Safaeian; David Brown; Joan L Walker
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-01       Impact factor: 4.254

2.  The potential of RNA as a target for national screening of pre-cancer.

Authors:  Frank Karlsen; Margaret Muturi; Cosmas Muyabwa; Lars E Roseng; Serge Bigabwa; Byamungu Chihongola; Lucy Muchiri
Journal:  J Public Health Afr       Date:  2018-12-21
  2 in total

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