PURPOSE: To identify a set of genes related to the progression and metastasis of advanced cervical cancer after radiotherapy and to establish a predictive method. METHODS AND MATERIALS: A total of 28 patients with cervical cancer (15 stage IIIB, 13 stage IVA patients) who underwent definitive radiotherapy between May 1995 and April 2001 were included in this study. All patients were positive for human papillomavirus infection and harbored the wild-type p53 gene. The expression profiles of 14 tumors with local failure and multiple distant metastasis and 14 tumors without metastasis (cancer free) obtained by punch biopsy were compared before treatment, using a cDNA microarray consisting of 23,040 human genes. RESULTS: Sixty-three genes were selected on the basis of a clustering analysis, and the validity of these genes was confirmed using a cross-validation test. The most accurate prediction was achieved for 63 genes (sensitivity, 78.8%; specificity, 38.1%). Some of these genes were already known to be associated with metastasis via chromosomal instability (TTK, BUB1B), extracellular matrix components (matrix metalloproteinase 1 [MMP-1]), and carcinogenesis (protein phosphatase 1 regulatory subunit 7 [PPP1R7]). A "predictive score" system was developed that could predict the probability for development of metastases using leave-one-out cross-validation methods. CONCLUSIONS: The present results may provide valuable information for identified predictive markers and novel therapeutic target molecules for progression and metastasis of advanced cervical cancer.
PURPOSE: To identify a set of genes related to the progression and metastasis of advanced cervical cancer after radiotherapy and to establish a predictive method. METHODS AND MATERIALS: A total of 28 patients with cervical cancer (15 stage IIIB, 13 stage IVApatients) who underwent definitive radiotherapy between May 1995 and April 2001 were included in this study. All patients were positive for humanpapillomavirus infection and harbored the wild-type p53 gene. The expression profiles of 14 tumors with local failure and multiple distant metastasis and 14 tumors without metastasis (cancer free) obtained by punch biopsy were compared before treatment, using a cDNA microarray consisting of 23,040 human genes. RESULTS: Sixty-three genes were selected on the basis of a clustering analysis, and the validity of these genes was confirmed using a cross-validation test. The most accurate prediction was achieved for 63 genes (sensitivity, 78.8%; specificity, 38.1%). Some of these genes were already known to be associated with metastasis via chromosomal instability (TTK, BUB1B), extracellular matrix components (matrix metalloproteinase 1 [MMP-1]), and carcinogenesis (protein phosphatase 1 regulatory subunit 7 [PPP1R7]). A "predictive score" system was developed that could predict the probability for development of metastases using leave-one-out cross-validation methods. CONCLUSIONS: The present results may provide valuable information for identified predictive markers and novel therapeutic target molecules for progression and metastasis of advanced cervical cancer.
Authors: Xi Lan; Dongmin Li; Bo Zhong; Juan Ren; Xuan Wang; Qingzhu Sun; Yue Li; Lee Liu; Li Liu; Shemin Lu Journal: Exp Biol Med (Maywood) Date: 2014-10-06
Authors: Julie K Schwarz; Jacqueline E Payton; Ramachandran Rashmi; Tao Xiang; Yunhe Jia; Phyllis Huettner; Buck E Rogers; Qin Yang; Mark Watson; Janet S Rader; Perry W Grigsby Journal: Clin Cancer Res Date: 2012-01-10 Impact factor: 12.531
Authors: Anna Juncker-Jensen; Elena I Deryugina; Ivo Rimann; Ewa Zajac; Tatyana A Kupriyanova; Lars H Engelholm; James P Quigley Journal: Cancer Res Date: 2013-05-16 Impact factor: 12.701
Authors: Ricardo F Savaris; Jeremy M Groll; Steven L Young; Franco J DeMayo; Jae-Wook Jeong; Amy E Hamilton; Linda C Giudice; Bruce A Lessey Journal: J Clin Endocrinol Metab Date: 2011-03-16 Impact factor: 5.958