Genetic expression profiles and chromosomal alterations in sporadic breast cancer in Mexican women

Valladares, Adán; García-Hernández, Normand; Gómez, Fabio Salamanca; Curiel-Quezada, Everardo; Madrigal-Bujaidar, Eduardo; Vergara, Ma. Dolores; Martínez, Mónica Sierra; Aranda, Diego J. Arenas

doi:10.1016/j.cancergencyto.2006.06.002

Cited by 30 publications

(23 citation statements)

References 21 publications

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“…Adan Valladares showed that CCND1 and LAMC1 are overexpressed in breast cancer patients [35]. We observed that, compared to patients with mutated TP53, the expression of CCND1 and LAMC1 is increased in patients with wild type TP53.…”

Section: Resultsmentioning

confidence: 58%

A Systematic Analysis of miRNA-mRNA Paired Variations Reveals Widespread miRNA Misregulation in Breast Cancer

Zhong

Zhu

Jin

et al. 2014

BioMed Research International

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MicroRNAs (miRNAs) are a class of small noncoding RNAs that can regulate gene expression by binding to target mRNAs and induce translation repression or RNA degradation. There have been many studies indicating that both miRNAs and mRNAs display aberrant expression in breast cancer. Previously, most researches into the molecular mechanism of breast cancer examined miRNA expression patterns and mRNA expression patterns separately. In this study, we systematically analysed miRNA-mRNA paired variations (MMPVs), which are miRNA-mRNA pairs whose pattern of regulation can vary in association with biopathological features, such as the oestrogen receptor (ER), TP53 and human epidermal growth factor receptor 2 (HER2) genes, survival time, and breast cancer subtypes. We demonstrated that the existence of MMPVs is general and widespread but that there is a general unbalance in the distribution of MMPVs among the different biopathological features. Furthermore, based on studying MMPVs that are related to multiple biopathological features, we propose a potential crosstalk mechanism between ER and HER2.

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Section: Resultsmentioning

confidence: 58%

A Systematic Analysis of miRNA-mRNA Paired Variations Reveals Widespread miRNA Misregulation in Breast Cancer

Zhong

Zhu

Jin

et al. 2014

BioMed Research International

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“…From previously established databases of breast cancer clinical samples or in vitro cultured cell lines, the L1CAM gene or the region in the X chromosome where it is located (Xq28) [40,41] has been found to be abnormally amplified in some cases [33,42,43]. Its over-expression also is correlated with progressing stages of cancer in patients (Figure 1A, [33]).…”

Section: Discussionmentioning

confidence: 99%

Soluble L1CAM promotes breast cancer cell adhesion and migration in vitro, but not invasion

Galileo

2010

Cancer Cell International

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BackgroundNeural recognition molecule L1CAM, which is a key protein involved in early nervous system development, is known to be abnormally expressed and shed in several types of cancers where it participates in metastasis and progression. The distinction of L1CAM presence in cancerous vs. normal tissues has suggested it to be a new target for cancer treatment. Our current study focused on the potential role of soluble L1CAM in breast cancer cell adhesion to extracellular matrix proteins, migration, and invasion.ResultsWe found L1 expression levels were correlated with breast cancer stage of progression in established data sets of clinical samples, and also were high in more metastatic breast cancer cell lines MDA-MB-231 and MDA-MB-435, but low in less migratory MDA-MB-468 cells. Proteolysis of L1 into its soluble form (sL1) was detected in cell culture medium from all three above cell lines, and can be induced by PMA activation. Over-expression of the L1 ectodomain in MDA-MB-468 cells by using a lentiviral vector greatly increased the amount of sL1 released by those cells. Concomitantly, cell adhesion to extracellular matrix and cell transmigration ability were significantly promoted, while cell invasion ability through Matrigel™ remained unaffected. On the other hand, attenuating L1 expression in MDA-MB-231 cells by using a shRNA lentiviral vector resulted in reduced cell-matrix adhesion and transmigration. Similar effects were also shown by monoclonal antibody blocking of the L1 extracellular region. Moreover, sL1 in conditioned cell culture medium induced a directional migration of MDA-MB-468 cells, which could be neutralized by antibody treatment.ConclusionsOur data provides new evidence for the function of L1CAM and its soluble form in promoting cancer cell adhesion to ECM and cell migration. Thus, L1CAM is validated further to be a potential early diagnostic marker in breast cancer progression and a target for breast cancer therapy.

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“…7A) [34]. Heparan sulfate proteoglycan 2 (HSPG2) is a top correlated gene, which is underexpressed in breast cancer and inhibits chemotherapy resistance of breast cancer cells [35,36]. Data mining in bc-GenExMiner 4.0 confirmed a positive correlation between MEG3 and HSPG2 expression (Fig.…”

Section: Co-expression Of Meg3 Mrnamentioning

confidence: 93%

Mining Prognostic Significance of MEG3 in Human Breast Cancer Using Bioinformatics Analysis

Cui¹,

Yi²,

Xuan³

et al. 2018

Cell Physiol Biochem

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Background/Aims: Maternally expressed gene 3 (MEG3) is an imprinted gene with maternal expression, which may function as a tumor suppressor by inhibiting angiogenesis. To identify the prognostic value of MEG3 in breast cancer, systematic analysis was performed in this study. Methods: To evaluate gene alteration during breast carcinogenesis, we explored MEG3 expression using the Serial Analysis of Gene Expression Genie suite and Oncomine analysis. The prognostic roles of MEG3 in breast cancer were investigated using the PrognoScan database. The heat map and methylation status of MEG3 were determined using the UCSC Genome Browser. Results: We found that MEG3 was more frequently downregulated in breast cancer than in normal tissues and this correlated with prognosis. However, estrogen receptor and progesterone receptor status were found to be positively correlated with MEG3 expression. Conversely, basal-like status, triple-negative breast cancer status, and Scarff Bloom & Richardson grade criterion were negatively correlated with MEG3 expression. Following data mining in multiple big data databases, we confirmed a positive correlation between MEG3 and heparan sulfate proteoglycan 2 (HSPG2) expression in breast cancer tissues. Conclusion: MEG3 could be adopted as a marker to predict the prognosis of breast cancer with HSPG2. However, large-scale and comprehensive research is needed to clarify our results.

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Genetic expression profiles and chromosomal alterations in sporadic breast cancer in Mexican women

Cited by 30 publications

References 21 publications

A Systematic Analysis of miRNA-mRNA Paired Variations Reveals Widespread miRNA Misregulation in Breast Cancer

A Systematic Analysis of miRNA-mRNA Paired Variations Reveals Widespread miRNA Misregulation in Breast Cancer

Soluble L1CAM promotes breast cancer cell adhesion and migration in vitro, but not invasion

Mining Prognostic Significance of MEG3 in Human Breast Cancer Using Bioinformatics Analysis

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