Literature DB >> 21858728

Relationships of ESR1 and XBP1 expression in human breast carcinoma and stromal cells isolated by laser capture microdissection compared to intact breast cancer tissue.

Sarah A Andres1, James L Wittliff.   

Abstract

Results from investigations of human genomics which utilize intact tissue biopsy specimens maybe compromised due to a host of uncontrolled variables including cellular heterogeneity of a sample collected under diverse conditions, then processed and stored using different protocols. To determine the cellular origin and assess relationships of mRNA expression of two genes reported to be co-expressed in human breast carcinoma (estrogen receptor-α, ESR1 and X-box binding protein 1, XBP1), gene expression analyses were performed with intact tissue sections and compared with those of laser capture microdissection (LCM)-procured carcinoma and stromal cells from serial sections of the same tissue. Frozen sections of human breast carcinomas were first evaluated for structural integrity and pathology after hematoxylin and eosin (H&E) staining. Total RNA preparations from intact tissue sections and LCM-procured carcinoma and stromal cells were reverse transcribed for measurements of ESR1 and XBP1 expression by quantitative PCR (qPCR). These results were compared with those obtained from microarray analyses of LCM-procured carcinoma cells. Levels of ESR1 and XBP1 were detected in the intact breast cancer tissue sections suggesting coordinate gene expression. Although coordinate expression of these genes was observed in the LCM-procured carcinoma cells, it was not discerned in LCM-procured stromal cells. The origin of coordinate expression of ESR1 and XBP1 observed in whole tissue sections of human breast cancer biopsies is due principally to their co-expression in carcinoma cells and not in the surrounding stromal cells as substantiated using LCM-procured cells. Collectively, a microgenomic process was established from human tissue preparation to RNA characterization and analysis to identify molecular signatures of specific cell types predicting clinical behavior.

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Year:  2011        PMID: 21858728     DOI: 10.1007/s12020-011-9522-x

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  44 in total

1.  Laser capture microdissection and its applications in genomics and proteomics.

Authors:  James L Wittliff; Mark G Erlander
Journal:  Methods Enzymol       Date:  2002       Impact factor: 1.600

2.  High-throughput real-time quantitative reverse transcription PCR.

Authors:  Angie L Bookout; Carolyn L Cummins; David J Mangelsdorf; Jean M Pesola; Martha F Kramer
Journal:  Curr Protoc Mol Biol       Date:  2006-02

3.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

4.  The optimization of quantitative reverse transcription PCR for verification of cDNA microarray data.

Authors:  Stacey L Hembruff; David J Villeneuve; Amadeo M Parissenti
Journal:  Anal Biochem       Date:  2005-10-15       Impact factor: 3.365

5.  Hormone receptor status and survival in a population-based cohort of patients with breast carcinoma.

Authors:  Victor R Grann; Andrea B Troxel; Naseem J Zojwalla; Judith S Jacobson; Dawn Hershman; Alfred I Neugut
Journal:  Cancer       Date:  2005-06-01       Impact factor: 6.860

6.  Epithelial-restricted gene profile of primary cultures from human prostate tumors: a molecular approach to predict clinical behavior of prostate cancer.

Authors:  Simona Nanni; Carmen Priolo; Annalisa Grasselli; Manuela D'Eletto; Roberta Merola; Fabiola Moretti; Michele Gallucci; Piero De Carli; Steno Sentinelli; Anna Maria Cianciulli; Marcella Mottolese; Paolo Carlini; Diego Arcelli; Mauro Helmer-Citterich; Carlo Gaetano; Massimo Loda; Alfredo Pontecorvi; Silvia Bacchetti; Ada Sacchi; Antonella Farsetti
Journal:  Mol Cancer Res       Date:  2006-02       Impact factor: 5.852

7.  Progesterone, glucocorticoid, but not estrogen receptor mRNA is altered in breast cancer stroma.

Authors:  Robert A Smith; Rod A Lea; Stephen R Weinstein; Lyn R Griffiths
Journal:  Cancer Lett       Date:  2007-05-23       Impact factor: 8.679

8.  Ligand-independent activation of estrogen receptor alpha by XBP-1.

Authors:  Lihua Ding; Jinghua Yan; Jianhua Zhu; Hongjun Zhong; Qiujun Lu; Zonghua Wang; Cuifen Huang; Qinong Ye
Journal:  Nucleic Acids Res       Date:  2003-09-15       Impact factor: 16.971

Review 9.  Laser-capture microdissection: opening the microscopic frontier to molecular analysis.

Authors:  N L Simone; R F Bonner; J W Gillespie; M R Emmert-Buck; L A Liotta
Journal:  Trends Genet       Date:  1998-07       Impact factor: 11.639

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  16 in total

1.  X-box binding protein 1 (XBP1): a potential role in chemotherapy response, clinical pathologic features, non-inflamed tumour microenvironment for breast cancer.

Authors:  Zhipeng Zhu; Hongliang Zhan; Anran Sun; Heqing Huang; Baisheng Chen; Fuxing Zhang
Journal:  Biosci Rep       Date:  2022-06-30       Impact factor: 3.976

2.  Epigenetic analysis of laser capture microdissected fetal epithelia.

Authors:  Ratnam S Seelan; Dennis R Warner; Partha M Mukhopadhyay; Sarah A Andres; Irina A Smolenkova; James L Wittliff; M Michele Pisano; Robert M Greene
Journal:  Anal Biochem       Date:  2013-07-30       Impact factor: 3.365

3.  Protein tyrosine phosphatase 4A2 expression predicts overall and disease-free survival of human breast cancer and is associated with estrogen and progestin receptor status.

Authors:  Sarah A Andres; James L Wittliff; Alan Cheng
Journal:  Horm Cancer       Date:  2013-04-09       Impact factor: 3.869

Review 4.  Endocrine resistance in breast cancer--An overview and update.

Authors:  Robert Clarke; John J Tyson; J Michael Dixon
Journal:  Mol Cell Endocrinol       Date:  2015-10-09       Impact factor: 4.102

5.  Expression of Genes for Methylxanthine Pathway-Associated Enzymes Accompanied by Sex Steroid Receptor Status Impacts Breast Carcinoma Progression.

Authors:  James L Wittliff; Seth B Sereff; Michael W Daniels
Journal:  Horm Cancer       Date:  2017-10-02       Impact factor: 3.869

6.  Inhibition of chlorine-induced airway fibrosis by budesonide.

Authors:  Sadiatu Musah; Jing Chen; Connie Schlueter; David M Humphrey; Kendall Stocke; Mona I Hoyle; Gary W Hoyle
Journal:  Toxicol Appl Pharmacol       Date:  2018-09-03       Impact factor: 4.219

7.  Comprehensive Analysis of the Unfolded Protein Response in Breast Cancer Subtypes.

Authors:  Dadi Jiang; Brandon Turner; Jie Song; Ruijiang Li; Maximilian Diehn; Quynh-Thu Le; Purvesh Khatri; Albert C Koong
Journal:  JCO Precis Oncol       Date:  2017-07-26

8.  A systems biology approach identifies a regulatory network in parotid acinar cell terminal differentiation.

Authors:  Melissa A Metzler; Srirangapatnam G Venkatesh; Jaganathan Lakshmanan; Anne L Carenbauer; Sara M Perez; Sarah A Andres; Savitri Appana; Guy N Brock; James L Wittliff; Douglas S Darling
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

Review 9.  Unfolding the Role of Stress Response Signaling in Endocrine Resistant Breast Cancers.

Authors:  Robert Clarke; Katherine L Cook
Journal:  Front Oncol       Date:  2015-06-22       Impact factor: 6.244

10.  Targeting the unfolded protein response, XBP1, and the NLRP3 inflammasome in fibrosis and cancer.

Authors:  Beth Overley-Adamson; Carol M Artlett; Connie Stephens; Sihem Sassi-Gaha; Ransome D Weis; James D Thacker
Journal:  Cancer Biol Ther       Date:  2014-02-04       Impact factor: 4.742

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