Dataset Information

Gene expression profile and cancer-associated pathways linked to progesterone receptor isoform a (PRA) predominance in transgenic mouse mammary glands.

ABSTRACT: BACKGROUND:Progesterone receptor (PR) is expressed from a single gene as two isoforms, PRA and PRB. In normal breast human tissue, PRA and PRB are expressed in equimolar ratios, but isoform ratio is altered during malignant progression, usually leading to high PRA:PRB ratios. We took advantage of a transgenic mouse model where PRA isoform is predominant (PRA transgenics) and identified the key transcriptional events and associated pathways underlying the preneoplastic phenotype in mammary glands of PRA transgenics as compared with normal wild-type littermates. METHODS:The transcriptomic profiles of PRA transgenics and wild-type mammary glands were generated using microarray technology. We identified differentially expressed genes and analyzed clustering, gene ontology (GO), gene set enrichment analysis (GSEA), and pathway profiles. We also performed comparisons with publicly available gene expression data sets of human breast cancer. RESULTS:We identified a large number of differentially expressed genes which were mainly associated with metabolic pathways for the PRA transgenics phenotype while inflammation- related pathways were negatively correlated. Further, we determined a significant overlap of the pathways characterizing PRA transgenics and those in breast cancer subtypes Luminal A and Luminal B and identified novel putative biomarkers, such as PDHB and LAMB3. CONCLUSION:The transcriptional targets identified in this study should facilitate the formulation or refinement of useful molecular descriptors for diagnosis, prognosis, and therapy of breast cancer.

SUBMITTER: Carlini MJ

PROVIDER: S-EPMC6019805 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Gene expression profile and cancer-associated pathways linked to progesterone receptor isoform a (PRA) predominance in transgenic mouse mammary glands.

Carlini María José MJ Recouvreux María Sol MS Simian Marina M Nagai Maria Aparecida MA

BMC cancer 20180625 1

<h4>Background</h4>Progesterone receptor (PR) is expressed from a single gene as two isoforms, PRA and PRB. In normal breast human tissue, PRA and PRB are expressed in equimolar ratios, but isoform ratio is altered during malignant progression, usually leading to high PRA:PRB ratios. We took advantage of a transgenic mouse model where PRA isoform is predominant (PRA transgenics) and identified the key transcriptional events and associated pathways underlying the preneoplastic phenotype in mammar ...[more]

PMID: 29940887

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Project description:The progesterone receptor isoforms PRA and PRB are implicated in breast cancer development and metastasis. Expression ratio PRA/PRB is imbalanced in such cancers under the influence of MAPK-dependent extracellular stimuli that strongly impact progesterone-responsive transcriptional regulation. In order to determine the isoform-specific regulated genes in a metastatic cancer cell, we established the iPRAB cell line derived from MDA-MB-231 mammary cancer cells (ER-, PR-). This cell line conditionally expressed PRA and/or PRB under the control of RSL1 and doxycycline (Dox) non-steroid ligands, respectively, in a dose-dependent manner. The bi-inducible expression system was generated using a combination of the Rheoswitch (NE Biolabs) and T-Rex (Invitrogen) vector systems as described in the article. We investigated the transcriptomes obtained in cells treated by either RSL1 (for PRA), or Dox (for PRB), or RSL1 + Dox (for PRA + PRB) for 24 h and then by either 10 nM progesterone (+) or vehicle (-) for 6 h. Control experiments were obtained from cells grown in the absence of RSL1, doxycycline and in the presence of progesterone (O+) or vehicle (O-). Experimental conditions of PRA/PRB expression ratio were ranged from 0.1 to 10, and the maximum expression of a given isoform was set to 300 fmol per mg proteins following 24 h induction. After removing redundant probes and pseudogens, the processed data identified 1014 distinct regulated genes subdivised in 3 classes : genes responding either only to unliganded PR isoforms (-), or only to liganded (+) or to both conditions (mixed ±). Each classe was subdivided according to isoform specificity criteria (A, B, AB, A&B, A&AB, B&AB, A&B&AB) leading to define 3X7 clusters of genes per classe. Each subset was then further analyzed by complete hierarchical clustering through up or down-regulation criteria. These data indicated that PR target genes selectivity is highly dependent of PRA/PRB expression ratio as well as ligand status and highlight the major impact of PR on transcriptional regulation of genes involved in breast cancer and metastasis.

Project description:The progesterone receptor isoforms PRA and PRB are implicated in breast cancer development and metastasis. Expression ratio PRA/PRB is imbalanced in such cancers under the influence of MAPK-dependent extracellular stimuli that strongly impact progesterone-responsiveM- transcriptional regulation. In order to determine the isoform-specific regulated genes M- in a metastatic cancer cell, we established the iPRAB cell line derived from MDA-MB-231 mammary cancer cells (ER-, PR-). This cell lineM- conditionally expressed PRA and/or PRB under the control of RSL1 and doxycycline (Dox) non-steroid ligands, respectively, in a dose-dependent manner. The bi-inducible expression system was generated using a combination of the Rheoswitch (NE Biolabs) and T-Rex (Invitrogen) vector systems as described in the article. We investigated the transcriptomes obtained in cells treated by either RSL1 (for PRA), or Dox (for PRB), or RSL1 + Dox (for PRA + PRB) for 24 h and then by either 10 nM progesterone (+) or vehicle (-) for 6 h. Control experiments were obtained from cells grown in the absence of RSL1, doxycycline and in the presence of progesterone (O+) or vehicle (O-). Experimental conditions of PRA/PRB expression ratio were ranged from 0.1 to 10, and the maximum expression of a given isoform was set to 300 fmol per mg proteins following 24 h induction. After removing redundant probes and pseudogens, the processed data identified 1014 distinct regulated genes subdivised in 3 classes : genes responding either only to unliganded PR isoforms (-), or only to liganded (+) or to both conditions (mixed M-1). Each classe was subdivided according to isoform specificity criteria (A, B, AB, A&B, A&AB, B&AB, A&B&AB) leading to define 3X7 clusters of genes per classe. Each subset was then further analyzed by complete hierarchical clustering through up or down-regulation criteria. These data indicated that PR target genes selectivity is highly dependent of PRA/PRB expression ratio as well as ligand status and highlight the major impact of PR on transcriptional regulation of genes involved in breast cancer and metastasis.

Dataset Information

Gene expression profile and cancer-associated pathways linked to progesterone receptor isoform a (PRA) predominance in transgenic mouse mammary glands.

Publications

Gene expression profile and cancer-associated pathways linked to progesterone receptor isoform a (PRA) predominance in transgenic mouse mammary glands.

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