Mechanisms for estrogen receptor expression in human cancer

Hua, Hui; Zhang, Hongying; Kong, Qingbin; Jiang, Yangfu

doi:10.1186/s40164-018-0116-7

Cited by 166 publications

(153 citation statements)

References 162 publications

(169 reference statements)

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“…In protein expression level, based on SHAP values, ER-alpha ranked top 1 among all protein expression and showed important contribution to all four subtype in breast cancer (Figure 5D). This phenomenon also is accordance with the research of estrogen receptors which is a very important marker for prognosis and a marker that is predictive of response to endocrine therapy in breast cancer 32 . The loss of ER expression portends a poor prognosis and, in a significant fraction of breast cancers, this repression is a result of the hypermethylation of CpG islands within the ER-alpha 33 .…”

Section: Resultssupporting

confidence: 90%

AutoGenome V2: New Multimodal Approach Developed for Multi-Omics Research

Liu

Zhang

et al. 2020

Preprint

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Deep learning is very promising in solving problems in omics research, such as genomics, epigenomics, proteomics, and metabolics. The design of neural network architecture is very important in modeling omics data against different scientific problems. Residual fully-connected neural network (RFCN) was proposed to provide better neural network architectures for modeling omics data. The next challenge for omics research is how to integrate informations from different omics data using deep learning, so that information from different molecular system levels could be combined to predict the target. In this paper, we present a novel multimodal approach that could efficiently integrate information from different omics data and achieve better accuracy than previous approaches. We evaluate our method in four different tasks: drug repositioning, target gene prediction, breast cancer subtyping and cancer type prediction, and all the four tasks achieved state of art performances.The multimodal approach is implemented in a software package called AutoOmics to facilitate researchers to use.

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Section: Resultssupporting

confidence: 90%

AutoGenome V2: New Multimodal Approach Developed for Multi-Omics Research

Liu

Zhang

et al. 2020

Preprint

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“…ERα is a functional nuclear receptor that can induce by the sex hormone estrogen. Once activated by estrogen, the ERα enables to enter the nucleus and further bind to DNA for modulating the transcribe of target genes (Hua, Zhang, Kong, & Jiang, 2018 is functionally linked to the development of cancer cells (Fruman et al, 2017). AKT is a signal kinase that plays a critical role in multiple cellular processes of glucose metabolism, apoptosis, cell proliferation, transcription, and cell migration.…”

Section: Caspasementioning

confidence: 99%

In vitro and in vivo studies of antiosteosarcoma activities of formononetin

Xiao

et al. 2019

Journal Cellular Physiology

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Osteogenic sarcoma (OGS) is a primary bone cancer, characterized by aggressive neoplasm from mesenchymal oncogenesis. However, the clinical therapeutic regimen against OGS is limited. Therefore, potential medication warrants to be further developed. Our previous study indicates that formononetin (FN) exerts effective pharmacological activity against OGS. This study aimed to further decipher the molecular mechanism behind this benefit. Patients with OGS were recruited for clinical data assay and immunoassay. Human OGS cell line (U2OS) and tumor‐bearing nude mice were subjected to a battery of biochemical analyses and immunoassays for integrative evaluation of FN‐exerted anti‐OGS effects. In human data, OGS samples showed increased expressions of ERα, p‐PI3KCATyr317, and p‐AKT Ser473 proteins, followed by notably upregulated miR‐375 content in comparison with that in OGS‐free. In addition, FN‐treated U2OS cells showed inhibited cell proliferation, elevated lactic dehydrogenase production and lowered endogenous miR‐375 level in cells. Further, reduced immunopositive cells of Ki‐67, p‐PI3KCA Tyr317, and p‐AKT Ser473 were observed by the treatments of FN, while the intracellular Bax‐ and Apaf‐1‐positive cells were increased dose‐dependently. Beneficially, FN‐treated tumor‐bearing mice exhibited reduced tumor mass and intercellular miR‐375 expression. Meanwhile, immuno‐labeled cells and proteins of Bax, Caspase‐3, and Apaf‐1 in FN‐treated mice were increased dose‐dependently, whereas ERα, p‐PI3KCA Tyr317, and p‐AKT Ser473 positive cells and proteins were downregulated, respectively. Collectively, our current results elucidate that FN exerts effective therapeutic benefits against OGS, and the pharmacological mechanism may be related to promoting cell apoptosis by inactivating intracellular miR‐375/ERα−PI3K/AKT cascaded pathway.

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“…Asmaa Abd ElGhany Abd ElLateef 1 , Ahmed El Sayed Mohamed 1 *, Ahmed AS Elhakeem 2 , Sheren FM Ahmed 3 (Hua et al, 2018).…”

Section: Estrogen and Progesterone Expression In Colorectal Carcinomamentioning

confidence: 99%

Estrogen and Progesterone Expression in Colorectal Carcinoma: A Clinicopathological Study

ElLateef

Mohamed

Elhakeem

et al. 2020

Asian Pac J Cancer Prev

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Sex steroids have been suggested to influence colorectal cancer (CRC) carcinogenesis. Also, exposure to exogenous hormones might contribute to its incidence. This study conducted to evaluate ER and PR expression as a prognostic factor in patients with CRC attending Sohag University Hospital (SUH) and Sohag Cancer Center (SCC). Materials and Methods: Tumor samples tested for Estrogen receptor (ER) / progesterone receptor (PR) expression using immunohistochemical staining (IHC). Association of this expression with overall survival (OS), disease-free survival (DFS) and progression-free survival (PFS) were evaluated. Results: Thirty out of 50 CRC tissues were evaluable for hormone receptor expression. Expression of both ER and PR was cytoplasmic. ER and PR expressions were 60% and 76.66%, respectively. There was a significant difference between loss of ER expression and depth of invasion (p= 0.01). Also, ER and PR negative expression cases were significantly at higher risk for progression (p= 0.03; 0.009 respectively). High levels of ER and PR expression were associated with higher cumulative PFS at one year and at the end of follow up time (p=0.01; 0..02 respectively); however this did not reach statistical significance on Cox proportional hazards regression analysis for progression or OS (p= 0.05; HR= 0.22; p=0.5; HR=0.67 respectively) for ER level and (p=0.07; HR=0.22; p=0.6; HR=0.72 respectively) for PR level. Conclusions: This study suggests that lower ER/PR expression levels were associated with more extensive CRC primary tumors and poorer prognosis. These data suggest that ER/PR expression might possess a prognostic value for CRC cases.

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Mechanisms for estrogen receptor expression in human cancer

Cited by 166 publications

References 162 publications

AutoGenome V2: New Multimodal Approach Developed for Multi-Omics Research

AutoGenome V2: New Multimodal Approach Developed for Multi-Omics Research

In vitro and in vivo studies of antiosteosarcoma activities of formononetin

Estrogen and Progesterone Expression in Colorectal Carcinoma: A Clinicopathological Study

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