Dataset Information

Phosphoproteome analysis of DLC1 in breast cancer

ABSTRACT: Deleted in Liver Cancer-1 (DLC1), a member of the RhoGAP family of proteins, functions as a tumor suppressor in several cancers including breast cancer. However, its clinical relevance is unclear in breast cancer. In this study, expression of DLC1 was correlated with prognosis using publicly available breast cancer gene expression datasets and quantitative Reverse Transcription PCR in cohorts of Estrogen Receptor-positive (ER+) breast cancer. Mutation and methylation status of DLC1 were assessed in these datasets including The Cancer Genome Atlas (TCGA). To seek further insights in understanding the role of DLC1 in ER+ breast cancer, we developed a knock-in model of DLC1 in T47D breast cancer cells. Label-free global proteomic and TiO2 phosphopeptide enrichment assays were performed and validated using Western blotting. Here, we report that low expression of DLC1 correlates with poor prognosis in patients with ER+ breast cancer with further decrease in metastatic lesions. Analysis of the TCGA data showed that down regulation of DLC1 is not due to methylation or mutations. Stable knock-in of DLC1-full-length inhibits cell growth significantly in vitro compared to its control counterpart. 6726 phosphopeptides were quantified by phosphoproteomics analysis in both conditons, whereas 205 and 122 were unique to DLC1 knock-in and T47D-control cells, respectively. Pathway analysis using DAVID showed the top three significant clusters of differentially identified phosphopeptides involving cell-cell adhesion, mRNA processing and splicing, and transcription regulation. Decreased phosphorylation of epithelial cell transforming sequence 2 (ECT2) at the residue T359, critical for its active conformational change was validated. In conclusion, this data suggests that high expression of DLC1 reduces cell growth and is associated with favorable prognosis. Our results document an inverse relation between ECT2 phosphorylation and DLC1 expression, promising a novel strategy for treating ER+ breast cancer.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Breast Cancer

SUBMITTER: Jason True

LAB HEAD: Sunil Badve

PROVIDER: PXD008220 | Pride | 2018-10-04

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	OT_010_2017_01_006_R_global_norm_FL.mzML	Mzml
	OT_010_2017_01_006_R_global_norm_FL.pride.mgf.gz	Mgf
	OT_010_2017_01_006_R_phospho2_norm_FL.mzML	Mzml
	OT_010_2017_01_006_R_phospho2_norm_FL.pride.mgf.gz	Mgf
	Polar_DLC1_ES_human_uniprot_contam_021517.fasta	Fasta

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Publications

Quantitative phosphoproteomic analysis identifies novel functional pathways of tumor suppressor DLC1 in estrogen receptor positive breast cancer.

Gökmen-Polar Yesim Y True Jason D JD Vieth Edyta E Gu Yuan Y Gu Xiaoping X Qi Guihong D GD Mosley Amber L AL Badve Sunil S SS

PloS one 20181002 10

Deleted in Liver Cancer-1 (DLC1), a member of the RhoGAP family of proteins, functions as a tumor suppressor in several cancers including breast cancer. However, its clinical relevance is unclear in breast cancer. In this study, expression of DLC1 was correlated with prognosis using publicly available breast cancer gene expression datasets and quantitative Reverse Transcription PCR in cohorts of Estrogen Receptor-positive (ER+) breast cancer. Low expression of DLC1 correlates with poor prognosis ...[more]

PMID: 30278072

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Project description:Background: Up to 40% of patients with estrogen receptor positive (ER+) breast cancer experience treatment resistance and disease recurrence, often caused by the upregulation of growth factor receptors. Understanding the mechanisms of resistance, and the identification of novel therapeutic targets is, therefore, of vital importance if breast cancer prognosis is to be further improved. Fibroblast growth factor receptor 1 (FGFR1) is a potential driver of endocrine resistance; however, clinically successful attempts at targeting FGFR1 activity in breast cancer are rare and may result from an inability to correctly identify patients that could benefit from such treatment. The identification of additional genes associated with an FGFR1-mediated mechanism of resistance will provide a more precise classification scheme for FGFR1-dependency in breast cancer. Methods: Live cell imaging and RNA sequencing of ER+ breast cancer cell lines (CAMA1, T47D, tamoxifen resistant T47D) were used to investigate FGFR1-dependency in breast cancer, mechanisms of endocrine resistance and the effects of treatment with tamoxifen and erdafitinib. An FGFR1-amplified ER+ breast cancer patient-derived xenograft (PDX) model was used to assess the effects of targeting FGFR1 in vivo. Gene expression analysis of human breast cancer from The Cancer Genome Atlas (TCGA) was used for clinical validation. Results: We evaluated the effects of targeting FGFR1 in ER+/HER2- breast cancer with aberrant FGFR1 amplification and/or overexpression. We found that the FGFR tyrosine kinase inhibitor (TKI) erdafitinib inhibited cell proliferation of FGFR1-amplified CAMA1 cells in vitro. Additionally, erdafitinib significantly enhanced the anti-proliferative effect of 4-hydroxytamoxifen (4-OHT) and its anti-tumor effect was also demonstrated in vivo. Further, we demonstrated that the proliferation of FGFR1-overexpressing tamoxifen-resistant T47D (TR-T47D) cells is dependent on FGFR1 activity. Moreover, these TR-T47D cells are re-sensitized to tamoxifen upon treatment with erdafitinib. Finally, we found that upregulation of genes related to epithelial-mesenchymal-transition (EMT) correlates with FGFR1 overexpression, and is reversed by FGFR inhibition. Conclusions: In this study we demonstrated that targeting FGFR1 in ER+/HER2- breast cancer with aberrant FGFR1 activity has the potential to inhibit tumor growth and to re-sensitize resistant tumors to tamoxifen. Furthermore, we identified a functional relationship between EMT, FGFR activity and endocrine resistance in breast tumorigenesis.

Project description:Breast cancer is a heterogeneous disease comprised of at least five major subtypes. Luminal subtype tumors confer a more favourable patient prognosis, which is in part, attributed to the Estrogen Receptor-alpha (ER) positivity and anti-hormone responsiveness of these tumors. Expression of the forkhead box transcription factor, FOXA1, also correlates with the luminal subtype and patient survival, but is present in a subset of ER-negative tumors. Similarly, FOXA1 is consistently expressed in luminal breast cancer cell lines even in the absence of ER. In contrast, basal breast cancer cell lines do not express FOXA1, and loss of FOXA1 in luminal cells increases migration and invasion, characteristics of the basal subtype. To delineate an ER-independent role for FOXA1 in maintaining the luminal phenotype, and hence a more favourable prognosis, we performed cDNA microarray analyses on luminal FOXA1-positive, ER-positive (MCF7, T47D) and FOXA1-positive, ER-negative (MDA-MB-453, SKBR3) cell lines in the presence or absence of transient FOXA1 silencing. This resulted in three FOXA1 transcriptomes: (1) a luminal-signature (consistent across cell lines), (2) an ER-positive signature (restricted to MCF7 and T47D) and (3) an ER-negative signature (restricted to MDA-MB-453 and SKBR3). Use of Gene Set Enrichment Analyses (GSEA) as a phenotyping tool revealed that FOXA1 silencing resulted in a transcriptome shift from luminal to basal gene expression signatures. FOXA1 binds to both luminal and basal genes within luminal breast cancer cells, suggesting that it not only transactivates luminal genes, but also represses basal-associated genes. From these results we conclude that FOXA1 controls plasticity between basal and luminal cells, playing a dominant role in repressing the basal phenotype, and thus tumor aggressiveness, in luminal breast cancer cells. Although it has been proposed that FOXA1-targeting agents may be useful for treating luminal tumors, these data suggest that this approach may promote transitions toward a more aggressive cancer. FOXA1 siRNA treated breast cell lines compared directly to nonspecific siRNA treated cell lines using Agilent 4X44 microarrays.

Project description:Breast cancer is a heterogeneous disease comprised of at least five major subtypes. Luminal subtype tumors confer a more favorable patient prognosis, which is in part, attributed to the Estrogen Receptor-α (ER) positivity and anti-hormone responsiveness of these tumors. Expression of the forkhead box transcription factor, FOXA1, also correlates with the luminal subtype and patient survival, but is present in a subset of ER-negative tumors. Similarly, FOXA1 is consistently expressed in luminal breast cancer cell lines even in the absence of ER. In contrast, basal breast cancer cell lines do not express FOXA1, and loss of FOXA1 in luminal cells increases migration and invasion, characteristics of the basal subtype. To delineate an ER-independent role for FOXA1 in maintaining the luminal phenotype, and hence a more favorable prognosis, we performed cDNA microarray analyses on luminal FOXA1-positive, ER-positive (MCF7, T47D) and FOXA1-positive, ER-negative (MDA-MB-453, SKBR3) cell lines in the presence or absence of transient FOXA1 silencing. This resulted in three FOXA1 transcriptomes: (1) a luminal-signature (consistent across cell lines), (2) an ER-positive signature (restricted to MCF7 and T47D) and (3) an ER-negative signature (restricted to MDA-MB-453 and SKBR3). Use of Gene Set Enrichment Analyses (GSEA) as a phenotyping tool revealed that FOXA1 silencing resulted in a transcriptome shift from luminal to basal gene expression signatures. FOXA1 binds to both luminal and basal genes within luminal breast cancer cells, suggesting that it not only transactivates luminal genes, but also represses basal-associated genes. From these results we conclude that FOXA1 controls plasticity between basal and luminal cells, playing a dominant role in repressing the basal phenotype, and thus tumor aggressiveness, in luminal breast cancer cells. Although it has been proposed that FOXA1-targeting agents may be useful for treating luminal tumors, these data suggest that this approach may promote transitions toward a more aggressive cancer.