Negative Progesterone Receptor Research Articles

Evaluating the Effectiveness of Cyclin-Dependent Kinase 4/6 Inhibitors in Early- and Very Early-Onset Metastatic Breast Cancer: A Multicenter Study.

Background and Objectives: Early-onset breast cancer (EOBC), particularly in patients under 40, presents with distinct biological characteristics and worse survival outcomes compared to late-onset cases. Despite intensive treatments, EOBC patients, especially those with hormone receptor-positive, HER2-negative (HR+/HER2-) subtypes, show poorer prognosis. CDK4/6 inhibitors, combined with endocrine therapy (ET) have become the standard for HR+/HER2- metastatic breast cancer, yet younger patients are underrepresented in clinical trials. This study aims to evaluate the efficacy of ribociclib and palbociclib with ET in HR+/HER2- metastatic breast cancer, addressing the critical gap in understanding treatment outcomes in younger patient populations. Materials and Methods: This multicenter, retrospective study evaluated the efficacy and safety of cyclin-dependent kinase 4 and 6 (CDK 4/6) inhibitors, ribociclib, and palbociclib, in combination with endocrine therapy in patients with hormone receptor-positive and human epidermal growth factor receptor 2-negative metastatic breast cancer. Results: A total of 198 patients treated between 2019 and 2023 were analyzed for progression-free survival, overall survival, and prognostic factors. Very early-onset breast cancer, which is diagnosed before the age of 35, was identified as an independent prognostic factor for poor progression-free survival. Additional factors associated with poorer outcomes included liver metastasis, progesterone receptor negativity, high tumor grade, and the concurrent use of fulvestrant with CDK4/6 inhibitors. Both ribociclib and palbociclib demonstrated similar efficacy, and dose reductions due to treatment-related adverse events did not compromise therapeutic outcomes. Conclusions: This study is the first to focus specifically on the treatment of early-onset breast cancer with CDK4/6 inhibitors, providing critical insights into the unique challenges faced by this patient population. The findings underscore the urgent need for personalized treatment strategies, routine genetic testing, and dedicated clinical trials designed to address the specific needs of these high-risk subgroups. By advancing our understanding of the clinical and molecular landscape of early-onset breast cancer and very early-onset breast cancer, this study lays the groundwork for improving outcomes in these underserved patients through tailored therapeutic approaches.

Quantitative assessment of volume-based metabolic parameters in early-stage invasive ductal breast cancer: Impact of different standardized uptake value thresholds on prognostic factors - A comprehensive analysis.

This study compares volume-based metabolic parameters in early-stage invasive ductal breast cancer using different standardized uptake value (SUV) thresholds and examines their association with immunohistochemical factors. A retrospective analysis included 135 patients with early-stage invasive ductal breast cancer who underwent preoperative fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scans. Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were derived using absolute SUV threshold methods and fixed % maximum tumor SUV threshold methods. Associations with immunohistochemical factors were explored, and receiver operating characteristic curves were generated. Metabolic tumor volume 2.5 and TLG 2.5 showed stronger correlations with maximum tumor SUV values. Metabolic tumor volume 2.0 and TLG 2.0 had superior area under the curve (AUC) values in predicting estrogen and progesterone receptor negativity. Metabolic tumor volume 2.0 and TLG 2.0 were superior in distinguishing low and high-grade tumors. Absolute SUV threshold methods with a threshold of 2.0 are recommended for calculating volume-based metabolic parameters due to their strong correlation with immunohistochemical factors in invasive ductal breast cancer.

Clinical and prognostic effects of microvascular density and FOXP3 positive T cells in breast cancer

There are conflicting data regarding the prognostic effect of microvascular density (MVD) in breast cancer and its molecular subtypes. It is thought that high levels of FOXP3 + T cells in breast cancer are associated with poor prognosis. However, data regarding FOXP3 show significant variability in the literature. In our study, we aim to measure MVD and FOXP3 + T cells in breast cancer cases and investigate their relationship with each other and their effects on breast cancer patients’ clinical and prognostic features. In our study, the results of 207 female breast cancer patients whose excisional tumoral tissue was obtained are presented. The study evaluated the findings under a light microscope using antibodies against CD34 for measuring MVD and FOXP3 for measuring FOXP3-positive T cells. CD34 ≥ 17 was categorized as high MVD, and CD34 < 17 was classified as low MVD. FOXP3 + cell count ≥ 20/mm2 was categorized as high FOXP3 positivity and < 20/mm2 as low FOXP3 positivity. The SPSS program (version 22) was used to evaluate the results statistically, and p < 0.05 was considered significant. The median age was 54.0 (27–86) years, and the median follow-up period was 60.0 (IQR: 42.6–86.5) months. In the high MVD group, a higher progesterone receptor (PR) positivity rate was detected (p = 0.035). High FOXP3 positivity was significantly associated with high nuclear grade (p = 0.003). High FOXP3 positivity was significantly associated with PR negativity and high Ki67 values ​​(p = 0.009, p = 0.012, respectively). No statistically significant correlation was found between MVD elevation and FOXP3 positivity (r = 0.063, p = 0.36). A weakly significant positive correlation was detected between high Ki67 and FOXP3 positivity (r = 0.0146, p = 0.04). A weak inverse correlation was detected between high FOXP3 positivity and PR percentage values ​​(r=-0.182, p = 0.01). While there was no significant difference in disease-free survival in cases with high MVD and high FOXP3 + T cells compared to groups with low levels, the results were not mature enough because the median values ​​in overall survival could not be reached. A significant correlation was found between high FOXP3 positivity and some aggressive tumor features; no effect on survival was detected. In contrast to literature data on luminal A breast cancer, high MVD in the luminal B (HER2-) subgroup was associated with a lower risk of recurrence. Our study is the first in the literature to evaluate the relationship between MVD measured using CD34 and FOXP3 positive T cells in breast cancer. Our study found no correlation between MVD and FOXP3 positivity, while literature data show significant correlations in some other cancers.

Coptisine enhances the sensitivity of chemoresistant breast cancer cells by inhibiting the function and expression of ABC transporters.

Multidrug resistance (MDR), mainly caused by ATP-binding cassette transporters (ABCTs) efflux, makes it difficult for many anticancer drugs to treat breast cancer (BC). Phytochemicals can reverse cancer's MDR by modifying ABC transporter expression and function, as well as working synergistically with anticancer drugs to target other molecules. The reversal effect of the isoquinoline alkaloid coptisine (COP) was assessed on four breast cell lines; Two sensitive MCF-7 cell lines with positive estrogen, androgen, progesterone, and glucocorticoid receptors, as well as MDB-MB-231 cells with negative estrogen, progesterone, and HER2 receptors, and two doxorubicin-resistant cell lines, MCF-7/ADR and MDB-MB-231/ADR. The cytotoxicity of COP and its ability to improve doxorubicin (DOX) cytotoxicity were assessed using the MTT assay. The effectiveness of COP in reversing DOX resistance was evaluated by calculating resistance ratio (RR) values, combination index (CI), and isobologram (IB). The inhibitory effect of COP on ABCT efflux function in comparison to verapamil (VER) was evaluated by measuring the cellular accumulation of Rho123 using flow cytometry. The impact of COP, either alone or in combination with DOX, on the gene expression of ABCTs (P-gp/MDR1, BCRP, and MRP1) of investigated cell lines was assessed by RT-PCR. The COP showed modest cytotoxicity on the examined cell lines. In MCF-7/ADR and MDA-MB-231/ADR cells, COP (31μM) enhanced DOX cytotoxicity with CI (0.77 and 0.75), RR (2.58 and 3.33), and IB suggesting synergism. COP significantly inhibits ABCT function in resistant BC cell lines, increases Rho123 accumulation, and decreases efflux more than VER; 2.1 and 1.2-fold, respectively. The combination of COP and DOX had a strong inhibitory effect on ABCT function (3.1 and 3.9 times VER, P< 0.001) and downregulated the genes and protein expression of ABCT. COP reversed ABCT-mediated multidrug resistance in vitro, indicating its potential as a multidrug resistance-reversing agent in cancer chemotherapy.

Comparison of Systemic Inflammatory Indices With the Oncotype DX Recurrence Score and the Nottingam Prognostic Index in Early Hormone Receptor Positive Ductal Breast Cancer.

Adjuvant therapy decisions in hormone receptor positive, HER2 negative breast cancer are evolving. Gene panel testing has reduced the number of patients recommended for chemotherapy by up to two thirds. Identifying low risk genomic cases before testing could represent a significant economic impact. Systemic inflammatory indices have shown promise as prognostic markers in early breast cancer. We investigated the utility of four systemic inflammatory indices with the Nottingham Prognostic Index to predict the Oncotype DX® recurrence scores threshold level (low or high score), in women aged 50 and over with node negative invasive ductal carcinoma of the breast. A retrospective review of 245 patients with Oncotype DX® Recurrence Score testing from 2007 to 2021 were identified. The Nottingham Prognostic Index and systemic inflammatory indices ratios were estimated from histology results and preoperative peripheral blood samples respectively. 22.4% of the cohort had a Recurrence Score in the higher risk group. This group had a greater percentage of grade 3 tumours, progesterone receptor negativity, higher Nottingham Prognostic Scores, and inflammatory indices ratios than the lower risk group. A decision tree incorporating the Neutrophil Lymphocyte Ratio with clinicopathological features showed potential as an indicator of a high Oncotype DX® RS score, such that further investigation is warranted to assess whether Recurrence Score testing could be triaged in certain cohorts of patients. In this study, 38% of patients might be able to avoid genomic testing based on the decision tree analysis. Utility of inflammatory indices with clinicopathological features may help triage gene panel testing.

Prognostic prediction for HER2-low breast cancer patients using a novel machine learning model

BackgroundsTo develop a machine learning (ML) model for predicting the prognosis of breast cancer (BC) patients with low human epidermal growth factor receptor 2 (HER2) expression, and to investigate the association between clinicopathological characteristics and outcomes in HER2-low BC (HLBC) patients.MethodsA retrospective analysis was conducted on data from 998 female HLBC patients treated at the Breast Center of the Fourth Hospital of Hebei Medical University (Hebei, China) between January 1, 2017, and December 31, 2020. To address class imbalance, the synthetic minority over-sampling technique was applied. Feature selection was performed using the least absolute shrinkage and selection operator, followed by construction of the prediction model using the random forest algorithm. Model performance, including specificity and accuracy, was assessed using the receiver operating characteristic (ROC) curve and confusion matrix, comparing it against other ML models. Additionally, the log-rank test was employed to examine the relationship between selected features and patient outcomes in HLBC.ResultsThe random survival forest model demonstrated superior accuracy and specificity in predicting survival outcomes for HLBC patients. Compared with other ML models, it achieved more precise predictions of Disease-Free Survival (DFS) at 1, 2, and 3 years, with the area under the ROC curve (AUC) in the test and training cohorts measured at 0.726 and 0.819, 0.712 and 0.776, and 0.685 and 0.774, respectively. The analysis further identified a strong correlation between poor prognosis in HLBC patients and factors such as axillary lymph node dissection, family history, elevated topoisomerase (TOPO)-2 expression, advanced clinical stage, negative progesterone receptor status, P53 mutation, and increased Ki67 expression, observed across both cohorts.ConclusionsA novel ML model was developed for accurate prognosis prediction in HLBC patients, offering valuable insights into prognostic risk factors. This model equips clinicians with enhanced data to guide treatment decisions, ultimately contributing to improved patient outcomes.

Is progesterone receptor a neglected feature in breast cancer? A retrospective study analysing the clinicopathological characteristics of breast cancer based on progesterone receptor status

The aim of this study is to analyse PR independently and its relationship with demographic and clinicopathological information. Steroid hormones, particularly estrogen and progesterone, play a crucial role in breast cancer (BC) etiology. Research attention has focused mainly on estrogen while the progesterone impact on breast cancer has yet to be fully uncover. Hormone receptors, including those for estrogen and progesterone, are crucial in BC molecular classification, shaping prognosis and treatment strategies. Beyond its metabolic effects, progesterone and its receptor (PR) have significant clinical implications, impacting clinical outcomes. The study comprised 2223 women who were diagnosed with BC at the Comprehensive Cancer Centre in Portugal (IPO-Porto) between 2012 and 2016. Variables, including age at diagnosis, body mass index (BMI), laterality, topographic localization, histological type, differentiation grade, tumor stage, estrogen receptor (ER) and Human Epidermal growth factor Receptor 2 (HER2) expression, were stratified according to the expression of Progesterone Receptor. Statistical analysis included Pearson's Chi-squared test, binary and multinomial regression, and Cox proportional hazard model. Statistical significance was set for P < .05. The results reveal a statistical association between PR and BMI, histological type, differentiation grade, tumour stage, ER and HER2. Progesterone receptor negativity is associated with adverse clinical outcomes, including advanced tumor stages, and diminished overall survival. Further research is needed to elucidate the precise contributions of progesterone to breast cancer progression and to optimize therapeutic approaches for improved patient outcomes.

Clinicopathologic Characteristics and Follow-Up Outcomes of Invasive Breast Carcinoma With Different Positive HER2 Fluorescence In Situ Hybridization Patterns: Experience From a Single Academic Institution

Human epidermal growth factor receptor 2 (HER2)-positive breast carcinoma (BC) encompasses a spectrum of molecular subtypes, characterized by varying HER2/CEP17 ratios and HER2 copy numbers, influencing responses to anti-HER2 therapy. This study stratified HER2 fluorescence in situ hybridization (FISH)-positive patients into 3 distinct groups—group 1 with high copy number (G1-HC: ratio ≥2, copy number ≥6), group 1 with low copy number (G1-LC: ratio ≥2, copy number ≥4 and <6), and group 3 (G3: ratio <2.0, copy number ≥6.0)—and evaluated their clinicopathologic features, response to anti-HER2 therapy, and outcomes. In a cohort of 2702 continuous primary BCs, G1-HC BCs accounted for 304 cases (11.3%), G1-LC for 37 cases (1.4%), and G3 for 75 cases (2.8%). G1-HC BCs were associated with younger age, higher tumor grade, and estrogen receptor negativity compared with G1-LC BCs. Furthermore, G1-HC BCs exhibited increased progesterone receptor negativity and HER2 immunohistochemistry 3+ compared with G1-LC and G3 BCs. Analysis of the subgroup of HER2 immunohistochemistry 2+-only cases (n = 166) showed similar results. Notably, G1-HC patients exhibited significantly enhanced responses to anti-HER2 neoadjuvant chemotherapy compared with G1-LC and G3 patients. Conversely, G1-LC patients displayed a lower likelihood of disease-free status compared with G1-HC and G3 patients, albeit with no significant differences in overall survival, distant metastasis, or local recurrence among the groups. These findings offer valuable clinicopathologic insights into different HER2 FISH positive subgroups, potentially informing future criteria for interpreting HER2 FISH results.

The Association of Neuroendocrine Differentiation with MicroRNA 21 and MicroRNA let7f Expression and the Clinicopathological Parameters in Primary Invasive Breast Carcinomas with Neuroendocrine Features.

MiRNAs have been reported as biomarkers with diagnostic, prognostic, and predictive value for many different diseases. Therapeutic agents targeting some miRNAs are currently being developed. We aimed to compare BC-NEFs (carcinoma of the breast with neuroendocrine features) with IDC (invasive ductal carcinoma) cases without neuroendocrine features in terms of the level of miRNA expression known to show the oncogenic (miR-21) and tumor-suppressor effects (miR-let7f) and the clinicopathological features. A total of 29 patients with a diagnosis of BC-NEFs (15 cases with neuroendocrine differentiation >50% of the whole section of tumor and 14 cases with neuroendocrine differentiation 10-50% of the tumor) and 30 patients with a diagnosis of IDC (no neuroendocrine differentiation) were retrospectively re-evaluated. Expression levels of miR-21 and miR-let7f were determined by the qRT-PCR method in paraffin tissue blocks. MiR-21 expression was significantly higher in the IDC group than in the group with BC-NEFs. miR-let7f expression was significantly lower in the group with BC-NEFs compared to the IDC group. A high expression level of miR-21 was found to be associated with progesterone receptor (PR) negativity. Our findings show that the presence of NEFs in breast carcinomas makes a significant difference in the expression levels of the investigated oncogenic (miR-21) and tumor-suppressor (miR-let7f) miRNAs. These findings suggest that miRNAs may be a potential biomarker in BC-NEFs and would benefit from targeted therapy.

Evaluation of Tumour-Associated Macrophages and Colony-Stimulating Factor-1 Expression in Invasive Breast Carcinoma and Their Association with Prognostic Parameters

INTRODUCTION: Recent breast cancer research has focused on tumour microenvironment (TME). Tumour-associated macrophages (TAMs) are the key players in TME as they provide pro-tumorigenic milieu for tumour progression and metastasis. These macrophages are primarily regulated by colony-stimulating factor-1 (CSF-1) secreted by breast cancer cells. This study investigated the association of localization of TAMs infiltration within breast carcinoma and CSF-1 expression by cancer cells with the pathological prognostic parameters. MATERIALS AND METHODS: TAMs were assessed in 128 cases of invasive breast carcinoma by CD163 immunohistochemical expression. The median TAM density in both the tumour nest and tumour stroma was utilized to classify TAMs into categories of low and high infiltration. The cancer cells were immunostained with anti-CSF-1 antibody and the staining intensity was evaluated as low or high expression. RESULTS: High nest and stromal TAMs were associated with higher tumour grades (p=0.005 and p=0.0001, respectively) whereas only high stromal TAMs showed significant association with negative oestrogen and progesterone receptors status (p=0.001 and 0.001, respectively); and triple-negative subtype (p=0.002). High CSF-1 expression was significantly associated with high stromal TAMs (p=0.031). High CSF-1 expression was associated with tumour grade and positive HER2 status (p=0.008 and 0.007, respectively). CONCLUSION: TAMs in tumour nest and stroma showed varying degrees of association with the clinicopathological parameters. High CSF-1 expression was associated with unfavourable prognostic parameters. Therefore, the evaluation of TAMs and CSF-1 expressions could potentially serve as prognostic markers and cellular targets for novel treatment modality in invasive breast cancers.

The Predictive Role of Mammography, Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging and Diffusion-Weighted Imaging in Hormone Receptor Status of Pure Ductal Carcinoma In Situ Lesions.

The aim of this retrospective study was to analyze the predictive capabilities of preoperative mammography, dynamic contrast-enhanced-magnetic resonance imaging (DCE-MRI), and diffusion-weighted imaging (DWI) in determining hormone receptor (HRc) status for pure ductal carcinoma in situ (DCIS) lesions. The study included a total of 79 patients who underwent preoperative mammography (MG) and MRI between December 2018 and December 2023 and were subsequently diagnosed with pure DCIS after surgery. The correlation between MG, DCE-MRI, and DWI features and estrogen receptor (ER) and progesterone receptor (PR) status was examined. Among the lesions, 44 were double HRc-positive (ER and PR-positive), 13 were single HRc-positive (ER-positive and PR-negative or ER-negative and PR-positive) and 22 were double HRc-negative (ER and PR-negative). The presence of symptom (p = 0.029), the presence of comedo necrosis (p = 0.005) and high histological grade (p<0.001) were found to be associated with ER and PR negativity. Amorphous microcalcifications were more commonly observed in the double HRc-negative group, while linear calcifications were more prevalent in both double and single HRc-positive groups (p = 0.020). Non-mass enhancement (NME) with a linear distribution was significantly more common in double HRc-negative lesions (38%), and NME with a segmental distribution in both double (43%) and single (50%) receptor-positive lesions (p = 0.042). Evaluation of DWI findings revealed that a higher lesion-to-normal breast parenchyma apparent diffusion coefficient (ADC) ratio statistically increased the probability of HRc positivity (p = 0.033). Certain clinicopathological, mammography, and MRI features, along with the lesion-to-normal breast parenchyma ADC ratio, can serve as predictors for HRc status in DCIS lesions.

Imaging evaluation focused on microstructural tissue changes using tensor-valued diffusion encoding in breast cancers after neoadjuvant chemotherapy: is it a promising way forward?

Single diffusion encoding is a widely used, noninvasive technique for probing the tissue microstructure in breast tumors. However, it does not provide detailed information about the microenvironmental complexity. This study investigated the clinical utility of tensor-valued diffusion encoding for evaluating microstructural changes in breast cancer after neoadjuvant chemotherapy (NAC). We retrospectively included patients underwent chemotherapy for histologically proven invasive breast cancer between July 2020 and June 2023 and monitored the tumor response with breast magnetic resonance imaging (MRI), including tensor-valued diffusion encoding. We reviewed pre- and post-NAC MRIs regarding chemotherapy in 23 breast cancers. Q-space trajectory imaging (QTI) parameters were estimated at each time-point, and were compared with histopathological parameters. The mean total mean kurtosis (MKT), anisotropic mean kurtosis (MKA), and microscopic fractional anisotropy (µFA) were significantly decreased on post-NAC MRI compared with pre-NAC MRI, with the large effect size (ES) in MKA and µFA (0.81±0.41 vs. 0.99±0.33, ES: 0.48, P=0.03; 0.48±0.30 vs. 0.73±0.27, ES: 0.88, P<0.001; 0.58±0.14 vs. 0.68±0.11, ES: 0.79, P=0.003; respectively). Regarding prognostic factors, tumors with high Ki-67 expression showed significantly lower pre-NAC mean diffusivity (MD) and higher pre-NAC µFA compared to tumors with low Ki-67 expression (0.98±0.09 vs. 1.25±0.20, P=0.002; and 0.72±0.07 vs. 0.57±0.10, P=0.005; respectively). And negative progesterone receptor (PR) group revealed significantly lower MKT, MKA, and isotropic mean kurtosis than positive PR group on the post-NAC MRI (0.60±0.31 vs. 1.03±0.40, P=0.008; 0.36±0.21 vs. 0.61±0.33, P=0.04; and 0.23±0.17 vs. 0.42±0.25, P=0.046; respectively). QTI parameters reflected the microstructural changes in breast cancer treated with NAC and can be used as noninvasive imaging biomarkers correlated with prognostic factors.

The prognostic analysis of further axillary dissection in breast cancer with 1-2 positive sentinel lymph nodes undergoing mastectomy.

The ACOSOG Z0011 study has shown that axillary lymph node dissection (ALND) is an option to be considered in patients who had 1-2 metastatic sentinel lymph nodes (SLNs) who proceed with breast-conserving along with postoperative radiotherapy. However, there remains controversy regarding the applicability of this approach in patients who had a mastectomy. The aim of our study is to determine the prognostic differences and risk factors associated with the decision to opt for ALND in breast cancer patients who had 1-2 metastatic SLNs who receive a mastectomy. The study conducted a retrospective analysis of patients diagnosed with cT1-2N0 breast cancer and treated at The Fourth Hospital of Hebei Medical University between January 2016 and December 2021, and patients were divided into two cohorts according to whether ALND was performed after sentinel lymph node biopsy (SLNB): SLNB cohort and SLNB + ALND cohort. Outcomes included the locoregional recurrence rate (LRR), disease-free survival (DFS), and overall survival (OS). Propensity score matching (PSM) was conducted to ensure the balance of variables between the two cohorts. Cox proportional hazard models were employed to ascertain the univariate and multivariate relative risks associated with survival. There were 812 cases enrolled. After the PSM, 234 receiving ALND and 234 not receiving ALND were matched. A median follow-up period of 56.72 ± 20.29 months was observed. During that time, no significant difference was identified in the DFS and OS in the SLNB + ALND cohort and the SLNB cohort (P = 0.208 and P = 0.102), except for those under 40 years old, SLNB + ALND group showed a reduction in LRR compared to SLNB group (11.1% vs. 2.12%, P = 0.044). Multivariate Cox analysis showed that younger (≤ 40 years), progesterone receptor (PR)-negative, and SLNB alone were independent risk factors for LRR; perineural invasion was a risk factor, while endocrinotherapy was a beneficial prognostic indicator for DFS and OS among patients with positive hormone receptor. ALND does not impact DFS and OS in patients with 1-2 metastatic SLNs who have completed a mastectomy. Being younger (≤ 40 years), having a negative PR, and undergoing SLNB alone were independent risk factors for LRR. Given this finding, we recommend avoiding axillary treatment such as ALND or radiotherapy in patients without risk factors.

Asparaginase-like protein 1 as a prognostic tissue biomarker in clinicopathologically and molecularly characterized endometrial cancer

ObjectivePrognostic stratification of endometrial cancer involves the assessment of stage, uterine risk factors, and molecular classification. This process can be further refined through annotation of prognostic biomarkers, notably L1 cell adhesion molecule (L1CAM) and hormonal receptors. Loss of asparaginase-like protein 1 (ASRGL1) has been shown to correlate with poor outcome in endometrial cancer. Our objective was to assess prognostication of endometrial cancer by ASRGL1 in conjunction with other available methodologies. Study DesignThis was a retrospective study of patients who underwent primary treatment at a single tertiary center. Tumors were molecularly classified by the Proactive Molecular Risk Classifier for Endometrial Cancer. Expression of ASRGL1, L1CAM, estrogen receptor, and progesterone receptor was determined by immunohistochemistry. ASRGL1 expression intensity was scored into four classes. ResultsIn a cohort of 775 patients, monitored for a median time of 81 months, ASRGL1 expression intensity was related to improved disease-specific survival in a dose-dependent manner (P < 0.001). Low expression levels were associated with stage II–IV disease and presence of uterine factors, i.e. high grade, lymphovascular space invasion, and deep myometrial invasion (P < 0.001 for all). Among the molecular subgroups, low expression was most prevalent in p53 abnormal carcinomas (P < 0.001). Low ASRGL1 was associated with positive L1CAM expression and negative estrogen and progesterone receptor expression (P < 0.001 for all). After adjustment for stage and uterine factors, strong ASRGL1 staining intensity was associated with a lower risk for cancer-related deaths (hazard ratio 0.56, 95 % confidence interval 0.32–0.97; P = 0.038). ASRGL1 was not associated with the outcome when adjusted for stage, molecular subgroups, L1CAM, and hormonal receptors. When analyzed separately within the different molecular subgroups, ASRGL1 showed an association with disease-specific survival specifically in “no specific molecular profile” subtype carcinomas (P < 0.001). However, this association became nonsignificant upon controlling for confounders. ConclusionsLow ASRGL1 expression intensity correlates with poor survival in endometrial cancer. ASRGL1 contributes to more accurate prognostication when controlled for stage and uterine factors. However, when adjusted for stage and other biomarkers, including molecular subgroups, ASRGL1 does not improve prognostic stratification.

A Study on Stromal Expression of CD10 Marker in Breast Carcinoma and Its Role as a Prognostic Marker in a Tertiary Care Center in South Kerala

Abstract Background and Aims: Breast cancer is one of the leading causes of mortality among women. The aim of our study is to evaluate the stromal expression of CD10 in invasive breast carcinoma and to find its relationship with other prognostic markers such as age, histopathologic grade, estrogen receptor (ER), progesterone receptor (PR), and HER2Neu status. Materials and Methods: A total of 51 cases of breast cancer were included in the study. Representative sections were taken and hematoxylin and eosin staining was done. Immunohistochemistry was performed with ER, PR, Her2neu, and CD10. Stromal expression of CD10 is positive when &gt;10% of stromal cells show cytoplasmic and membranous positivity in invasive breast carcinoma. This will be noted and statistically analyzed with different known prognostic markers of breast carcinoma. Results: Stromal CD10 positivity was seen in 74.5% of cases (45% were strongly positive and 29.5% were weakly positive). 25.5% of cases were negative. Positivity for ER, PR, and HER2, was 58.8%, 35.3%, and 27.5%, respectively. Stromal expression of CD10 was found to be significantly associated with ER negativity (P = 0.001) and PR negativity (P = 0.001). Increasing intensity was noted with few parameters such as postmenopausal status and histologic grade but could not show statistical significance. No correlation was found between CD10 overexpression with respect to the age, tumor size, lymph node positivity status, tumor stage and HER2Neu status. Conclusions: CD10 expression correlated strongly with well-established negative prognostic markers, ER/PR negativity, and higher tumor grade, thus indicating that CD10 can be used as an independent marker indicating poor prognosis. This study highlights the role of stromal CD10 expression in predicting prognosis and the relationship with other prognostic markers. Keeping the role stroma plays in predicting prognosis and tumor response, CD10 can be included as a routine prechemotherapy marker in breast carcinoma. Further studies should be performed to see the role stroma plays in hormonal expression and the usefulness of CD10 to predict treatment failure in breast carcinomas receiving neoadjuvant therapy.

The clinical signature of genetic variants and serum levels of macrophage migration inhibitory factor in Egyptian breast cancer patients

PurposeMacrophage migration inhibitory factor (MIF) is an integral cytokine for the modulation of both innate and adaptive immunity and is involved in the pathogenesis of various cancers. However, conflicting findings on the relationship between MIF polymorphisms and breast cancer (BC) have been reported in earlier research. We investigated the clinical value of serum MIF levels and the association between MIF rs1049829 and rs755622 variants with their serum levels and propensity to develop BC.MethodsA total of 133 treatment-naïve Egyptian BC females and 126 apparently healthy controls were matriculated in this case–control study. The serum MIF protein levels were quantified by ELISA, whereas the genotyping was executed utilizing the TaqMan® allelic discrimination assay.ResultsA significant increase in the serum MIF level in BC cases was observed in comparison to control subjects (P < 0.0001), with a diagnostic potential to discriminate BC with 92.5% sensitivity and 73.7% specificity at a cut-off value > 9.47 ng/mL. Besides, a significant difference in serum MIF level was observed in BC cases with progesterone receptor (PR) negativity compared to those with PR positivity (P = 0.046). Moreover, a significant association was depicted between the rs1049829 variant of MIF gene and the protective effect against BC meanwhile the rs755622 variant demonstrated no significant link with BC risk.ConclusionsThis study revealed that serum MIF levels may be regarded as a promising serum tumor marker for BC. Also, the rs1049829 variant of the MIF gene is considered a protective candidate against BC.Graphical

Survival analysis for patients with metachronous contralateral breast cancer: Insights from a retrospective study.

Continued advances in the diagnosis and treatment of breast cancer (BC) have led to an increase in the number of long-term BC survivors and an increase in the incidence of metachronous BC in the contralateral breast. Therefore, it is important to understand the factors that influence the development of metachronous BC; however, the impact of the laterality of the initial ipsilateral (I)BC as a risk factor for the development of metachronous contralateral (MC)BC has not been extensively investigated. The present study included 17,082 female patients with stage 0-3 IBC from the prospectively maintained Korean Breast Cancer Registry from 1989-2013 and divided them into two groups: Patients with MCBC (n=88) and those without MCBC (n=16,994). Risk factors that present at the initial BC diagnosis that could significantly influence the development of MCBC were screened for and risks were evaluated using the Fine-Gray subdistribution hazard model. Significant differences in baseline characteristics between MCBC and non-MCBC groups were demonstrated. Patients aged <40 years, those with histological and nuclear grade 3 tumors, and those with the triple-negative BC subtype were significantly more prevalent in the MCBC group than in the non-MCBC group. Additionally, the cumulative incidence of MCBC increased over time, with a notable increase from 0.1% in year 1 to 1.6% in year 10. Survival analysis revealed no significant differences in overall or BC-specific survival between the two groups. Key predictive factors identified for MCBC included an age of <40 years at initial diagnosis, a negative progesterone receptor status, and a Ki-67 score of >14%. Overall, the present study revealed several factors associated with MCBC and emphasized the need for long-term monitoring of BC survivors, considering these newly identified risk factors.

Clinicopathological characteristics and prognostic significance of casting-type calcifications in patients with invasive breast cancer presenting with microcalcification

To explore the clinicopathological characteristics and prognostic significance of casting-type calcification (CC) in patients with breast cancer presenting with microcalcification on mammography. Data on patients with invasive breast cancer who had mammographic calcification was retrospectively analyzed. The chi-square test was utilized to assess the clinicopathological characteristics of two forms of CC-related breast cancer. The examination of prognostic variables was conducted using Kaplan–Meier and Cox regression analyses. A total of 427 eligible patients were included in this study. Chi-square analysis indicated that the presence of CC was associated with estrogen receptor (ER) negativity (P = 0.005), progesterone receptor (PR) negativity (P < 0.001), and epidermal growth factor receptor 2 (HER-2) positivity (P < 0.001); among these, the association was stronger with the CC-predominant type. After a median follow-up of 82 months, those with CC had a worse 5-year recurrence-free survival (RFS) (77.1% vs. 86.9%, p = 0.036; hazard ratio [HR], 1.86; 95% confidence interval [CI] 1.04–3.31) and overall survival (OS) (84.0% vs. 94.4%, p = 0.007; HR, 2.99; 95% CI 1.34–6.65) rates. In COX regression analysis, such differences were still observed in HER-2 positive subgroups (RFS: HR: 2.45, 95% CI 1–5.97, P = 0.049; OS: HR: 4.53, 95% CI 1.17–17.52, P = 0.029). In patients with invasive breast cancer exhibiting calcifications on mammography, the presence of CC, especially the CC-predominant type, is linked to a higher frequency of hormone receptor negativity and HER-2 positivity. The presence of CC is associated with an unfavorable 5-year RFS and OS rates.

Epidemiology of early vs late recurrence among women with early stage estrogen receptor-positive breast cancer in the Pathways Study.

Relatively little is known about the differences in prognostic factors for early vs late recurrence among women with early stage estrogen receptor-positive breast cancer. We analyzed factors related to early (<5 years) vs late (≥5 years) recurrence in 2992 women with stage I-IIB estrogen receptor-positive breast cancer in the Pathways Study, a prospective cohort of women with breast cancer enrolled between 2006 and 2013, with ascertainment of recurrence and death through December 2021. After a median follow-up of 13.3 years, 341 (13.8%) women had recurrences, including 181 (53.7%) with late recurrence. Higher stage and grade were associated with recurrence regardless of timing, whereas progesterone receptor negativity was associated with early but not late recurrence. Receipt of endocrine therapy was associated with reduced risk of overall recurrence, but the length of endocrine therapy was not statistically significant in multivariable models. Minoritized racial and ethnic groups, including Asian, Black, and Hispanic women, had higher risk of early but not late recurrence compared to non-Hispanic White women. The trend of higher risk of early recurrence among these groups remained after adjustment for clinical, demographic, and socioeconomic factors but was statistically significant only in Asian women. Our study revealed potentially important distinctions for early vs late recurrence, including the associations with progesterone receptor negativity and self-identified race and ethnicity. Possible higher risk of early recurrence among Asian, Black, and Hispanic women provides novel evidence for the existence of disparities in cancer outcomes, even within the breast cancer subtype indicative of generally good prognosis.

Prediction of Oncotype DX Recurrence Score Based on Systematic Evaluation of Ki-67 Scores in Hormone Receptor-Positive Early Breast Cancer.

Oncotype DX (ODX) predicts the risk of recurrence and benefits of adding chemotherapy for patients with estrogen receptor positive (ER+)/human epidermal growth factor receptor 2 negative (HER2-) early-stage breast cancer. We aimed to develop a simplified scoring system using readily available clinicopathological parameters to predict a high-risk ODX recurrence score (RS) while minimizing reproducibility issues regarding Ki-67 index evaluation methods. We enrolled 300 patients with ER+/HER2- early breast cancer, for whom ODX RS data were available in the test set. Using the QuPath image analysis platform, we systematically evaluated the average, hotspot, and hottest spot Ki-67 scores in the test set. Logistic regression analyses were conducted to establish a predictive scoring system for high-risk ODX RS. An independent validation set comprising 117 patients over different periods was established. Factors such as age ≤ 50 years, invasive ductal carcinoma tumor type, histologic grade 2 or 3, tumor necrosis, progesterone receptor negativity, and a high Roche-analyzed Ki-67 score (> 20) were associated with high-risk ODX RS. These variables were incorporated into our scoring system. The area under the curve of the scoring system was 0.8057. When applied to both the test and validation sets with a cutoff value of 3, the sensitivity of our scoring system was 92%. We successfully developed a scoring system based on the systematic evaluation of Ki-67 scoring methods. We believe that our user-friendly predictive scoring system for high risk ODX RS could help clinicians in identifying patients who may or may require additional ODX testing.