UNASSIGNED: Hormone receptor (HR) expression is a critical marker that plays a role in the treatment and management of breast cancer. Even if patients receive hormone treatment with a hormone positivity rate of over 1%, it is controversial at what level of positivity they benefit from treatment and contribute positively to their prognosis.
UNASSIGNED: We retrospectively examined the estrogen receptor (ER) / progesterone receptor (PR) expression status, clinicopathological findings, and survival data of 386 patients who underwent surgery for breast cancer. ER/PR expressions of the patients were evaluated according to Allred, H-score and were also grouped according to staining percentages. Separate cut-off values were determined for each of these evaluation methods, and the prognostic power of these methods was investigated using receiver operating characteristic analysis.
UNASSIGNED: The prognostic power of all methods was found to be similar in terms of predicting survival. According to the staining percentage of the patients, survival was excellent if the ER value was >80% and the PR value was >1%.
UNASSIGNED: All recommended methods for reporting HRs have similar prognostic power. However, in patients with high percentage staining for ER using these methods, the prognosis is excellent. As a result, we predict that if the percentage of ER staining is low, changing the treatment management of patients may be considered clinically.

In breast carcinoma, invasive ductal carcinoma (IDC) is the most common histopathological subtype, and ductal carcinoma in situ (DCIS) is a precursor of IDC. They are often concomitant. The immunohistochemical staining of estrogen receptor (ER)/progesterone receptor (PR) in IDC/DCIS on whole-slide histopathological images (WSIs) can predict the prognosis of patients. However, the inter-observer variability among pathologists in reading WSIs is inevitable. Thus, artificial intelligence (AI) technology is crucial. Herein, IDC/DCIS detection was conducted by deep learning approach, including Faster R-CNN, RetinaNet, SSD300, YOLOv3, YOLOv5, YOLOv7, YOLOv8, and Swin transformer. Their performance was estimated by mean average precision (mAP) values. Cell recognition and counting were performed using AI technology to evaluate the intensity and proportion of ER/PR-immunostained cancer cells in IDC/DCIS. A three-round ring study (RS) was conducted to assess WSIs. A database for modelling the underlying probability distribution of a dataset with labels was established. YOLOv8 exhibits the highest detection performance with an mAP@0.5 of 0.944 and an mAP@0.5-0.95 of 0.790. With the assistance of YOLOv8, the scoring concordance across all pathologists was boosted to excellent in RS3 (0.970) from moderate in RS1 (0.724) and good in RS2 (0.812). Deep learning detection can be applied in clinicopathological field. To facilitate the histopathological diagnosis of IDC/DCIS and immunostaining scoring of ER/PR, a novel AI architecture and well-organized dataset were developed.

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Stroke is a leading cause of death and disability worldwide. Tissue plasminogen activator (tPA) is currently the most effective medicine for stroke; however, it has a narrow therapeutic time window (4.5 h after symptom onset). We demonstrated that nestorone, a progesterone (P4) receptor agonist, exerted neuroprotective effects against transient focal cerebral ischemia 6 h post-ischemic administration in adult male rats. This study examines its effects on permanent focal cerebral ischemia in adult and aged male rats, which are better models for evaluating treatment outcomes in typical stroke patients. Adult (6-month-old) or aged (18-month-old) male rats subjected to permanent middle cerebral artery occlusion (pMCAO) were continuously administered nestorone (10µg/day) or its vehicle (30% hydroxypropyl-β-cyclodextrin) for 7 days via an osmotic pump subcutaneously implanted, starting at 18 h post-pMCAO. Nestorone-treated adult male rats showed marked improvements in behavioral outcomes in the adhesive removal and rotarod tests and a significant reduction in infarct size compared to vehicle-treated rats 9 and 30 days post-pMCAO. The same administration of nestorone resulted in apparently comparable neuroprotective effects in aged male rats. The inflammatory mediator NF-κB/p65 was increased in Iba-1 positive cells 24 h post-pMCAO, but was significantly suppressed by subcutaneous injection of nestorone. These results suggested that nestorone exerts long-term neuroprotective effects against permanent focal cerebral ischemia in adult and aged male rats. Nestorone is thus a promising agent for post-stroke treatment owing to its wide age-independent therapeutic time window (18 h after symptom onset), which is longer than that of tPA therapy.

Induced Pluripotent Stem Cells (iPSCs) are nowadays a common starting point for wide-ranging applications including 3D disease modeling (i.e. organoids) and in future regenerative medicine. Physiological processes like homeostasis, cell differentiation, development and reproduction are tightly regulated by hormones through binding to their transmembrane or nuclear receptors of target cells. Considering their pleiotropic effect, take into account also their expression in an iPSCs-based disease modeling would better recapitulate the molecular events leading to 3D organoid development and disease study. Here we reported the expression pattern of estrogen receptor (ERα) and progesterone receptor (PR) in four different iPSCs, obtained from CD34 + progenitor cells and skin fibroblasts with four different methods. Expression of ERα and PR mRNA were significantly downregulated in iPSCs as well as fibroblasts compared to MCF7 positive control. Immunofluorescence (IF) staining detected only the expression of PR protein in all the different iPSCs cell lines, while ERα was not detectable. By flow cytometry analysis we observed that the ~ 65% of the total population of iPSCs cells expressed only PR, with 100% fold increase compared to HSPCs and fibroblasts, while ERα was not expressed. Our results collectively demonstrated for the first time that the reprogramming of somatic cells into iPSCs leads to the expression of PR receptor.

UNASSIGNED: Direct evidence for the relationship between a large prostate (≥80 ml) and androgen receptor/PSA signal remains lacking in benign prostatic hyperplasia (BPH). Our aim is to identify whether the cause of a large prostate is related to progesterone receptor (PGR) androgen receptor (AR), oestrogen receptor α, β (ERα,β) and prostate-specific antigen (PSA).
UNASSIGNED: Surgical specimens of BPH in plasmakinetic resection of the prostate (PKRP) with three groups of different prostate-sizes with mean volumes of 25.97 ml, 63.80 ml, and 122.37 ml were collected for immunohistochemical analysis of the tissue microarray with PGR, AR, PSA and ERs. Rats were castrated and treated with testosterone replacement to explore androgen and PGR, AR and ERs expression levels in the prostate. Quantitative real-time reverse transcription polymerase chain reaction (Rt-PCR) for mRNA detection of above genes was conducted.
UNASSIGNED: Immunoblotting, Rt-PCR and immunohistochemistry assays showed that PGR, PSA, AR, ERα expression levels were positively correlated with prostate size and that ERβ expression levels were negatively correlated with prostate volume. Animal experiments have shown that prostate volume is decreased in castrated rats with decreased PGR, AR, ERα and increased ERβ expression levels.
UNASSIGNED: PGR, AR, ERs signals can be regarded as important factors for large-sized prostates in BPH patients (≥100 ml).

The endometrium is crucial for the perpetuation of human species. It is a complex and dynamic tissue lining the inner wall of the uterus, regulated throughout a woman\'s life based on estrogen and progesterone fluctuations. During each menstrual cycle, this multicellular tissue undergoes cyclical changes, including regeneration, differentiation in order to allow egg implantation and embryo development, or shedding of the functional layer in the absence of pregnancy. The biology of the endometrium relies on paracrine interactions between epithelial and stromal cells involving complex signaling pathways that are modulated by the variations of estrogen and progesterone levels across the menstrual cycle. Understanding the complexity of estrogen and progesterone receptor signaling will help elucidate the mechanisms underlying normal reproductive physiology and provide fundamental knowledge contributing to a better understanding of the consequences of hormonal imbalances on gynecological conditions and tumorigenesis. In this narrative review, we delve into the physiology of the endometrium, encompassing the complex signaling pathways of estrogen and progesterone.

Progesterone (P4) plays a pivotal role in regulating the cancer progression of various types, including breast cancer, primarily through its interaction with the P4 receptor (PR). In PR-negative breast cancer cells, P4 appears to function in mediating cancer progression, such as cell growth. However, the mechanisms underlying the roles of P4 in PR-negative breast cancer cells remain incompletely understood. This study aimed to investigate the effects of P4 on cell proliferation, gene expression, and signal transduction in PR-negative MDA-MB-231 breast cancer cells. P4-activated genes, associated with proliferation in breast cancer cells, exhibit a stimulating effect on cell growth in PR-negative MDA-MB-231 cells, while demonstrating an inhibitory impact in PR-positive MCF-7 cells. The use of arginine-glycine-aspartate (RGD) peptide successfully blocked P4-induced extracellular signal-regulated kinase 1/2 (ERK1/2) activation, aligning with computational models of P4 binding to integrin αvβ3. Disrupting integrin αvβ3 binding with RGD peptide or anti-integrin αvβ3 antibody altered P4-induced expression of proliferative genes and modified P4-induced cell growth in breast cancer cells. In conclusion, integrin αvβ3 appears to mediate P4-induced ERK1/2 signal pathway to regulate proliferation via alteration of proliferation-related gene expression in PR-negative breast cancer cells.

Ovarian clear cell carcinoma (OCCC) is often considered a relatively platinum-resistant malignancy. The aim of this study was to explore the influence of progesterone receptor (PR) expression levels on platinum sensitivity and survival outcomes in people with OCCC. A retrospective analysis was conducted with 80 people with OCCC who underwent surgery followed by adjuvant chemotherapy. PR expression was assessed via immunohistochemical (IHC) staining and quantified using the H score. The platinum sensitivity and survival outcomes of patients with weak and strong PR expression were compared. Additionally, cisplatin viability and migration experiments were conducted with OCCC cell lines (ES-2 and TOV-21G) with varying PR isoform expressions. Among the 80 patients, 62 were classified as having platinum-sensitive disease, while 18 had platinum-resistant disease. The mean total PR H- score of platinum-sensitive tumors was significantly higher than that of platinum-resistant tumors (p = 0.002). Although no significant differences in progression-free and overall survival were observed between patients with high and low PR expression, those with high PR expression tended to have longer survival. While PR protein was only weakly detectable in ES-2 and TOV-21G cells, a transfection of the PR-A or PR-B gene resulted in a strong expression of PR-A or PR-B, which led to significantly reduced proliferation and migration in ES-2 and TOV-21G cells. Furthermore, overexpression of PR-A or PR-B enhanced cisplatin cytotoxicity in these cell lines. In conclusion, strong PR expression was associated with improved platinum sensitivity and survival outcomes, consistent with our experimental findings. The potential of PR as a tumor sensitizer to cisplatin in OCCC warrants further investigation.

UNASSIGNED: Meningiomas are slow-growing brain neoplasms classified into three grades based on morphological criteria. While these grades are simple, they do not always correlate with patient outcomes. This study aimed to evaluate the status of estrogen receptor (ER), progesterone receptor (PR), and proliferation marker Ki-67/molecular immunology borstel-1 (MIB-1) in the three grades of meningioma.
UNASSIGNED: We evaluated the data of meningioma patients who were seen in our tertiary center over 10 years-8.5 years retrospectively and 1.5 years prospectively. Their archival hematoxylin and eosin stained slides were reviewed and re-graded according to the World Health Organization 2021 criteria. Immunohistochemical analysis for ER, PR, and Ki-67 was performed on all grade 2 and grade 3 meningiomas and 30 cases of grade 1 formalin-fixed, paraffin-embedded samples.
UNASSIGNED: Of the 276 cases included in the study, there were 231 (83.7%) cases of grade 1 meningioma, 34 (12.3%) cases of grade 2, and 11 (4.0%) cases of grade 3. ER was positive in 26.0% of grade 1 tumors, 5.8% of grade 2, and 0.0% of grade 3. PR was positive in 70.0% of grade 1 tumors, 20.0% of grade 2, and 18.0% of grade 3. The Ki-67/MIB-1 labeling index (LI) was 2.1 in grade 1, 6.3 in grade 2, and 13.4 in grade 3 tumors. For both PR and Ki-67, the differences between grades 1, 2, and 3 tumors were significant (p < 0.001). There was a significant inverse relationship between mean Ki-67 LI and PR status, with increasing grade of tumor.
UNASSIGNED: Ki-67/MIB-1 LI has significant positive correlations with meningioma grade and its recurrence, which makes it a useful auxiliary method for the routine assessment of meningiomas, especially in patients with borderline atypia. The expression of PR, on the other hand, is a positive prognostic indicator and has a substantial correlation with histological grade. In cases of subtotal resection, high proliferative/recurrence rates, and borderline histopathology, the PR status in combination with the MIB-1 LI can offer insights into the behavior and the recurrence probability of a meningioma.