Literature DB >> 20635577

Identification of a gene expression signature for survival prediction in type I endometrial carcinoma.

Kristina Levan1, Karolina Partheen, Lovisa Osterberg, Björn Olsson, Ulla Delle, Saskia Eklind, György Horvath.   

Abstract

Endometrial cancer is the most common malignancy of the female reproductive tract. In many cases the prognosis is favorable, but 22% of affected women die from the disease. We aimed to study potential differences in gene expression between endometrioid adenocarcinomas from survivors (5-year survival) and nonsurvivors. Forty-five patients were included in the investigation, of which 21 were survivors and 24 were nonsurvivors. The tumors were analyzed with genome-wide expression array analysis, represented by 13,526 genes. Distinct differences in gene expression were found between the groups. A t-test established that 218 genes were significantly differentially expressed (p < 0.001) between the two survival groups, and in a cross-validation test 40 of the 45 (89%) tumors were classified correctly. The 218 differentially expressed genes were subjected to hierachical clustering analysis, which yielded two clusters both exhibiting over 80% homogeneity with respect to survival. When the additional constraint of fold change (FC > 2) was added the hierachical clustering yielded similar results. Stage I tumors are expected to have a favorable prognosis. However, in our tumor material there were six nonsurvivors with stage I tumors. Five out of six stage I nonsurvivors clustered in the nonsurvival fraction. Our findings suggest that a subgroup of early stage endometroid adenocarcinomas can be correctly classified as potentially aggressive by using molecular biology in combination with conventional markers, thereby providing a tool for a more accurate classification and risk evaluation of the individual patient.

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Year:  2010        PMID: 20635577      PMCID: PMC6042025          DOI: 10.3727/105221610x12735213181242

Source DB:  PubMed          Journal:  Gene Expr        ISSN: 1052-2166


  25 in total

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Authors:  E A GEHAN
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2.  Expression analysis of stage III serous ovarian adenocarcinoma distinguishes a sub-group of survivors.

Authors:  Karolina Partheen; Kristina Levan; Lovisa Osterberg; György Horvath
Journal:  Eur J Cancer       Date:  2006-09-22       Impact factor: 9.162

Review 3.  Hormone replacement therapy and cancers: the biological roles of estrogen and progestin in tumorigenesis are different between the endometrium and breast.

Authors:  Kiyoshi Ito
Journal:  Tohoku J Exp Med       Date:  2007-05       Impact factor: 1.848

4.  Microarray analysis reveals distinct gene expression profiles among different histologic types of endometrial cancer.

Authors:  John I Risinger; G Larry Maxwell; G V R Chandramouli; Amir Jazaeri; Olga Aprelikova; Tricia Patterson; Andrew Berchuck; J Carl Barrett
Journal:  Cancer Res       Date:  2003-01-01       Impact factor: 12.701

Review 5.  Adjuvant chemotherapy in endometrial carcinoma: overview of randomised trials.

Authors:  T Hogberg
Journal:  Clin Oncol (R Coll Radiol)       Date:  2008-05-07       Impact factor: 4.126

6.  External pelvic and vaginal irradiation versus vaginal irradiation alone as postoperative therapy in medium-risk endometrial carcinoma: a prospective, randomized study--quality-of-life analysis.

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7.  BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data.

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8.  Recurrent gene amplifications in human type I endometrial adenocarcinoma detected by fluorescence in situ hybridization.

Authors:  Emma Samuelson; Kristina Levan; Tatjana Adamovic; Göran Levan; György Horvath
Journal:  Cancer Genet Cytogenet       Date:  2008-02

9.  Differential gene expression profile in endometrioid and nonendometrioid endometrial carcinoma: STK15 is frequently overexpressed and amplified in nonendometrioid carcinomas.

Authors:  Gema Moreno-Bueno; Carolina Sánchez-Estévez; Raúl Cassia; Sandra Rodríguez-Perales; Ramón Díaz-Uriarte; Orlando Domínguez; David Hardisson; Miguel Andujar; Jaime Prat; Xavier Matias-Guiu; Juan C Cigudosa; José Palacios
Journal:  Cancer Res       Date:  2003-09-15       Impact factor: 12.701

10.  Semi-supervised methods to predict patient survival from gene expression data.

Authors:  Eric Bair; Robert Tibshirani
Journal:  PLoS Biol       Date:  2004-04-13       Impact factor: 8.029

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  9 in total

Review 1.  Prognostic biomarkers in endometrial and ovarian carcinoma.

Authors:  Xavier Matias-Guiu; Ben Davidson
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2.  Integrating pathology, chromosomal instability and mutations for risk stratification in early-stage endometrioid endometrial carcinoma.

Authors:  Yuan Li; Jiaqi Li; Ensong Guo; Jia Huang; Guangguang Fang; Shaohua Chen; Bin Yang; Yu Fu; Fuxia Li; Zizhuo Wang; Rourou Xiao; Chen Liu; Yuhan Huang; Xue Wu; Funian Lu; Lixin You; Ling Feng; Ling Xi; Peng Wu; Ding Ma; Chaoyang Sun; Beibei Wang; Gang Chen
Journal:  Cell Biosci       Date:  2020-10-22       Impact factor: 7.133

3.  Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers.

Authors:  S Attarha; S Andersson; M Mints; S Souchelnytskyi
Journal:  Br J Cancer       Date:  2013-07-09       Impact factor: 7.640

4.  One-step extrapolation of the prediction performance of a gene signature derived from a small study.

Authors:  Ling-Yi Wang; Wen-Chung Lee
Journal:  BMJ Open       Date:  2015-04-17       Impact factor: 2.692

5.  SALL4 is a new target in endometrial cancer.

Authors:  A Li; Y Jiao; K J Yong; F Wang; C Gao; B Yan; S Srivastava; G S D Lim; P Tang; H Yang; D G Tenen; L Chai
Journal:  Oncogene       Date:  2013-12-16       Impact factor: 9.867

6.  A novel lncRNA-focus expression signature for survival prediction in endometrial carcinoma.

Authors:  Meng Zhou; Zhaoyue Zhang; Hengqiang Zhao; Siqi Bao; Jie Sun
Journal:  BMC Cancer       Date:  2018-01-05       Impact factor: 4.430

7.  Identification of a Novel Epithelial-Mesenchymal Transition-Related Gene Signature for Endometrial Carcinoma Prognosis.

Authors:  Tianyuan Ruan; Jing Wan; Qian Song; Peigen Chen; Xiaomao Li
Journal:  Genes (Basel)       Date:  2022-01-25       Impact factor: 4.096

8.  Identification of long non-coding RNAs biomarkers associated with progression of endometrial carcinoma and patient outcomes.

Authors:  Yanan Sun; Xiaoyan Zou; Jun He; Yuqin Mao
Journal:  Oncotarget       Date:  2017-04-30

9.  Identification of a six-gene signature with prognostic value for patients with endometrial carcinoma.

Authors:  Yizi Wang; Fang Ren; Peng Chen; Shuang Liu; Zixuan Song; Xiaoxin Ma
Journal:  Cancer Med       Date:  2018-10-10       Impact factor: 4.452

  9 in total

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