scholarly journals Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in breast cancer

2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Hiroko K Solvang ◽  
Ole Christian Lingjærde ◽  
Arnoldo Frigessi ◽  
Anne-Lise Børresen-Dale ◽  
Vessela N Kristensen
2016 ◽  
Vol 15 (2) ◽  
pp. 193-200 ◽  
Author(s):  
Rosa Murria Estal ◽  
Sarai Palanca Suela ◽  
Inmaculada de Juan Jiménez ◽  
Cristina Alenda Gonzalez ◽  
Cecilia Egoavil Rojas ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e53850 ◽  
Author(s):  
Yadav Sapkota ◽  
Sunita Ghosh ◽  
Raymond Lai ◽  
Bradley P. Coe ◽  
Carol E. Cass ◽  
...  

Microarrays ◽  
2015 ◽  
Vol 4 (3) ◽  
pp. 339-369 ◽  
Author(s):  
Javier Arsuaga ◽  
Tyler Borrman ◽  
Raymond Cavalcante ◽  
Georgina Gonzalez ◽  
Catherine Park

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e97681 ◽  
Author(s):  
Claudia Cava ◽  
Gloria Bertoli ◽  
Marilena Ripamonti ◽  
Giancarlo Mauri ◽  
Italo Zoppis ◽  
...  

2019 ◽  
Vol 14 (1) ◽  
pp. 688-698
Author(s):  
Zheng Ye ◽  
Zhaoyu Zhang ◽  
Lijiao Fang ◽  
Daiquan Tian ◽  
Xin Liu

AbstractObjectiveTo explore the potential role of GSG2 in breast cancer progression.MethodsThe mRNA expression, DNA copy number and clinical data used in this study were obtained from the TCGA data portal. The copy number variations (CNVs) thresholds were determined according to the set of discrete copy number calls provided by Genomic Identification of Significant Targets in Cancer (GISTIC).ResultsThe mRNA expression level of GSG2 in 112 breast cancer tissues was much higher than that in adjacent normal tissues. GSG2 was significantly upregulated in stage II compared with stage I, and there was no differential expression of GSG2 between tumors with or without metastasis. Heterozygous deletion occupied 57.1% of CNVs for GSG2 gene in breast cancer samples. Patients with higher GSG2 expression tended to suffer from poorer prognosis.ConclusionOur profiling analysis indicated the overexpression of GSG2 might play an important role in breast cancer development, suggesting that GSG2 could be a new target for breast cancer treatment, making GSG2 inhibitors becoming potential drugs for breast cancer therapy.


2019 ◽  
Author(s):  
Christian Fougner ◽  
Helga Bergholtz ◽  
Raoul Kuiper ◽  
Jens Henrik Norum ◽  
Therese Sørlie

AbstractClaudin-low breast cancer is a molecular subtype associated with poor prognosis and without targeted treatment options. The claudin-low subtype is defined by certain biological characteristics, some of which may be clinically actionable, such as high immunogenicity. In mice, the medroxyprogesterone acetate (MPA) and 7,12-dimethylbenzanthracene (DMBA) induced mammary tumor model yields a heterogeneous set of tumors, a subset of which display claudin-low features. Neither the genomic characteristics of MPA/DMBA-induced claudin-low tumors, nor those of human claudin-low breast tumors, have been thoroughly explored.The transcriptomic characteristics and subtypes of MPA/DMBA-induced mouse mammary tumors were determined using gene expression microarrays. Somatic mutations and copy number aberrations in MPA/DMBA-induced tumors were identified from whole exome sequencing data. A publicly available dataset was queried to explore the genomic characteristics of human claudin-low breast cancer and to validate findings in the murine tumors.Half of MPA/DMBA-induced tumors showed a claudin-low-like subtype. All tumors carried mutations in known driver genes. While the specific genes carrying mutations varied between tumors, there was a consistent mutational signature with an overweight of T>A transversions in TG dinucleotides. Most tumors carried copy number aberrations with a potential oncogenic driver effect. Overall, several genomic events were observed recurrently, however none accurately delineated claudin-low-like tumors. Human claudin-low breast cancers carried a distinct set of genomic characteristics, in particular a relatively low burden of mutations and copy number aberrations. The gene expression characteristics of claudin-low-like MPA/DMBA-induced tumors accurately reflected those of human claudin-low tumors, including epithelial-mesenchymal transition phenotype, high level of immune activation and low degree of differentiation. There was an elevated expression of the immunosuppressive genes PTGS2 (encoding COX-2) and CD274 (encoding PD-L1) in human and murine claudin-low tumors. Our findings show that the claudin-low breast cancer subtype is not demarcated by specific genomic aberrations, but carries potentially targetable characteristics warranting further research.Author SummaryBreast cancer is comprised of several distinct disease subtypes with different etiologies, prognoses and therapeutic targets. The claudin-low breast cancer subtype is relatively poorly understood, and no specific treatment exists targeting its unique characteristics. Animal models accurately representing human disease counterparts are vital for developing novel therapeutics, but for the claudin-low breast cancer subtype, no such uniform model exists. Here, we show that exposing mice to the carcinogen DMBA and the hormone MPA causes a diverse range of mammary tumors to grow, and half of these have a gene expression pattern similar to that seen in human claudin-low breast cancer. These tumors have numerous changes in their DNA, with clear differences between each tumor, however no specific DNA aberrations clearly demarcate the claudin-low subtype. We also analyzed human breast cancers and show that human claudin-low tumors have several clear patterns in their DNA aberrations, but no specific features accurately distinguish claudin-low from non-claudin-low breast cancer. Finally, we show that both human and murine claudin-low tumors express high levels of genes associated with suppression of immune response. In sum, we highlight claudin-low breast cancer as a clinically relevant subtype with a complex etiology, and with potential unexploited therapeutic targets.


Oncotarget ◽  
2017 ◽  
Vol 8 (7) ◽  
pp. 10845-10857 ◽  
Author(s):  
Hui Chen ◽  
Rajesh R. Singh ◽  
Xinyan Lu ◽  
Lei Huo ◽  
Hui Yao ◽  
...  

2019 ◽  
Author(s):  
Aileen I. Fernandez ◽  
Xue Geng ◽  
Krysta Chaldekas ◽  
Brent Harris ◽  
Anju Duttargi ◽  
...  

ABSTRACTPurposeTriple negative breast cancer (TNBC)/ basal-like breast cancer (BLBC) is a highly aggressive form of breast cancer prevalent in African-American (AA) women. We previously reported that a small molecule agonist ligand for the orphan nuclear receptor estrogen-related receptor beta (ERRβ or ESRRB) has growth inhibitory and anti-mitotic activity in TNBC cell lines. In this study, we evaluate the association of ESRRB mRNA, copy number levels, and protein expression with demographic, clinicopathological, and gene expression features in breast tumor clinical specimens.MethodsESRRB mRNA level expression and clinical associations were analyzed using RNAseq data. Array-based comparative genomic hybridization determined ESRRB copy number in AA and Caucasian women. Transcription factor activity was measured using promoter-reporter luciferase assays in TNBC cell lines. Semi-automatic quantification of immunohistochemistry measured ERRβ protein expression on a 150-patient tissue microarray series.ResultsESRRB mRNA expression is significantly lower in TNBC/BLBC vs. other breast cancer subtypes. There is no evidence of ESRRB copy number loss. ESRRB mRNA expression is correlated with the expression of genes associated with neuroactive ligand-receptor interaction, metabolic pathways, and deafness. These genes contain G/C-rich transcription factor binding motifs. The ESRRB message is alternatively spliced into three isoforms, which we show have different transcription factor activity in basal-like vs. other TNBC cell lines. We further show that the ERRβ2 and ERRβsf isoforms are broadly expressed in breast tumors at the protein level.ConclusionsDecreased ESRRB mRNA expression, and distinct patterns of ERRβ isoform subcellular localization and transcription factor activity are key features in TNBC/BLBC.


Sign in / Sign up

Export Citation Format

Share Document