Estrogen receptor positive breast cancers have patient specific hormone sensitivities and rely on progesterone receptor

Scabia, Valentina; Ayyanan, Ayyakkannu; Martino, Fabio De; Agnoletto, Andrea; Battista, Laura; László, Csaba; Treboux, Assia; Zaman, Khalil; Stravodimou, Athina; Jallut, D; Fiche, Maryse; Bucher, Philip; Ambrosini, Giovanna; Sflomos, George; Brisken, Cathrin

doi:10.1038/s41467-022-30898-0

Cited by 43 publications

(38 citation statements)

References 65 publications

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“…is kind of breast cancer can be regulated by hormones and is sensitive to endocrine therapy. Some breast cancer may lose all or part of its hormone receptors, which is ine ective for endocrine therapy [21,22].…”

Section: Discussionmentioning

confidence: 99%

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[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

Wan

Qin

et al. 2022

Contrast Media & Molecular Imaging

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Invasive breast cancer (IBC) is a kind of malignant tumor in which cancer cells have broken through the basement membrane of breast ducts or lobular acini and invaded the stroma. Although ultrasound elastography score (UES) has shown unique advantages in the diagnosis of IBC, its value in the prognosis is not clear. Here, we explored the correlation of UES with IBC and biological prognostic factors. The datum of 86 patients with suspected IBC from January 2018 to December 2021 was collected. UE was applied in the examination of all patients. The lesion tissue of the malignant group was punctured to detect and analyze the expression of biological prognostic factors, including estrogen receptor (E receptor), progesterone receptor (P receptor), and human epidermal growth factor 2 (HER factor 2) and Ki67. The differences in UES under different biological prognostic factors were compared. The receiver operating characteristic (ROC) curve was applied to analyze the diagnostic value of UES of IBC and the expression of biological prognostic factors. Based on the pathological diagnosis results, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of UES in the diagnosis of IBC were analyzed. The correlation of UES with IBC and biological prognostic factors was analyzed by multiple linear regression and Spearman method. ROC analysis showed that the area under the curve of UES for diagnosing IBC and evaluating the expression of P receptor, HER factor 2, and Ki67 were 0.877, 0.704, 0.763, and 0.820, respectively (P＜0.05). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of UES when diagnosing IBC were 92.42%, 90.00%, 91.86%, 96.83%, and 78.26%, respectively. The UES of E receptor expression (positive and negative group) showed no obvious variance ( P > 0.05). The UES of P receptors (positive and negative), HER factor 2 (positive and negative), and Ki67 (high and low expression) showed obvious differences ( P < 0.05). Multiple linear regression and Spearman indicated UES was significantly correlated with the expression of P receptor, HER factor 2, and Ki67 (P＜0.05). UES has a certain diagnostic value for IBC and is significantly correlated to the expression of P receptor, HER factor 2, and Ki67, which is helpful for evaluating the prognosis of patients with IBC.

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Section: Discussionmentioning

confidence: 99%

“…This kind of breast cancer can be regulated by hormones and is sensitive to endocrine therapy. Some breast cancer may lose all or part of its hormone receptors, which is ineffective for endocrine therapy [ 21 , 22 ]. Therefore, E receptor and P receptor are very important biological indicators of breast cancer.…”

Section: Discussionmentioning

confidence: 99%

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

Wan

Qin

et al. 2022

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

show abstract

“…Estrogen is a steroid hormone that plays a critical part in maintaining reproductive system function, bone homeostasis, brain development, and cardiovascular remodeling [ 84 ]. Among the three forms (estrone (E1), estradiol (E2), and estriol (E3)), E2 is the crucial for the progression of breast, endometrial, and ovarian cancers [ 85 , 86 ].…”

Section: Receptor-mediated Active Targeting Strategymentioning

confidence: 99%

Enhancing the therapeutic efficacy of nanoparticles for cancer treatment using versatile targeted strategies

et al. 2022

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Poor targeting of therapeutics leading to severe adverse effects on normal tissues is considered one of the obstacles in cancer therapy. To help overcome this, nanoscale drug delivery systems have provided an alternative avenue for improving the therapeutic potential of various agents and bioactive molecules through the enhanced permeability and retention (EPR) effect. Nanosystems with cancer-targeted ligands can achieve effective delivery to the tumor cells utilizing cell surface-specific receptors, the tumor vasculature and antigens with high accuracy and affinity. Additionally, stimuli-responsive nanoplatforms have also been considered as a promising and effective targeting strategy against tumors, as these nanoplatforms maintain their stealth feature under normal conditions, but upon homing in on cancerous lesions or their microenvironment, are responsive and release their cargoes. In this review, we comprehensively summarize the field of active targeting drug delivery systems and a number of stimuli-responsive release studies in the context of emerging nanoplatform development, and also discuss how this knowledge can contribute to further improvements in clinical practice.

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“…ERs are expressed in many cells and tissues [ 69 ], but these receptors are critical in the development and progression of BC [ 70 ]. More than two thirds of all human BC are ER+, based on the detection of ER expression by IHC in at least 1% of the tumor cells [ 71 ], reflecting the importance of this protein for diagnosis and treatment strategy [ 67 ]. The first study to examine differences in proteomic expression among breast tumor versus normal mammary epithelium and ER+ versus ER- tumors, using MALDI MS coupled with LC-MS/MS and IHC analysis of tumor cells acquired by laser capture microdissection (LCM) from frozen tissues, has been published by Sanders et al in 2008 [ 51 ].…”

Section: Proteomics-based Investigation Of Dysregulated Steroid Recep...mentioning

confidence: 99%

Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer

et al. 2022

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Immunohistochemistry (IHC) is still widely used as a morphology-based assay for in situ analysis of target proteins as specific tumor antigens. However, as a very heterogeneous collection of neoplastic diseases, breast cancer (BC) requires an accurate identification and characterization of larger panels of candidate biomarkers, beyond ER, PR, and HER2 proteins, for diagnosis and personalized treatment, without the limited availability of antibodies that are required to identify specific proteins. Top-down, middle-down, and bottom-up mass spectrometry (MS)-based proteomics approaches complement traditional histopathological tissue analysis to examine expression, modification, and interaction of hundreds to thousands of proteins simultaneously. In this review, we discuss the proteomics-based identification of dysregulated proteins in BC that are essential for the following issues: discovery and validation of new biomarkers by analysis of solid and liquid/non-invasive biopsies, cell lines, organoids and xenograft models; identification of panels of biomarkers for early detection and accurate discrimination between cancer, benign and normal tissues; identification of subtype-specific and stage-specific protein expression profiles in BC grading and measurement of disease progression; characterization of new subtypes of BC; characterization and quantitation of post-translational modifications (PTMs) and aberrant protein–protein interactions (PPI) involved in tumor development; characterization of the global remodeling of BC tissue homeostasis, diagnosis and prognostic information; and deciphering of molecular functions, biological processes and mechanisms through which the dysregulated proteins cause tumor initiation, invasion, and treatment resistance.

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Estrogen receptor positive breast cancers have patient specific hormone sensitivities and rely on progesterone receptor

Cited by 43 publications

References 65 publications

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

[Retracted] Correlation Analysis of Ultrasound Elastography Score with Invasive Breast Cancer and Biological Prognostic Factors

Enhancing the therapeutic efficacy of nanoparticles for cancer treatment using versatile targeted strategies

Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer

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