ER Status Research Articles

Factors associated with the onset and survival of subsequent primary breast cancer in female non‐metastatic breast cancer survivors

AbstractThis study aimed to investigate the risk factors for the onset of subsequent primary breast cancer (SPBC) in women with a previous diagnosis of early‐stage breast cancer (BC) and to construct a prognostic prediction model for patients with SPBC. Using the Surveillance, Epidemiology, and End Results‐17 (SEER‐17) database, we conducted a retrospective cohort analysis on women with initial primary early‐stage BC from 2004 to 2015. Standardized incidence ratio (SIR) was calculated to determine the risk of subsequent primary cancer (SPC). A competing risk model was built to identify the risk factors for the onset of SPBC. And risk factors associated with breast cancer‐specific mortality in SPBC patients were evaluated and presented in the form of nomogram. Compared with the general population, the overall risk of SPC for all sites was significantly elevated in women with early‐stage BC (SIR = 1.21, 95% CI: 1.20–1.23), and breast is the most frequent site. Age, race and ethnicity, year of diagnosis, history of other tumors, histological type, surgery, radiation, chemotherapy, tumor size, positive lymph nodes numbers and ER status were independent risk factors (p < .05) for the onset of SPBC. A new prognosis nomogram demonstrated good discrimination after internal validation with a C‐index of 0.869 (95% CI: 0.859–0.880), and showed favorable consistency and clinical usefulness. The incidence of SPBC and prognosis of patients with SPBC were well estimated based on a large cohort. Our nomogram model had excellent prediction performance and could be a useful tool to predict prognosis.

PRAME expression and its prognostic significance in invasive breast carcinoma

ObjectivesPRAME (PReferentially expressed Antigen in MElanoma) is a carcinoma testis antigen expressed in numerous tumour types. The aim of this study was to assess PRAME expression in different surrogate subtypes of breast carcinoma and its correlation with other prognostic factors. Material and methodsA total of 220 cases of invasive breast carcinoma were selected and categorized according to ER, PgR, HER2 status, and Ki67 proliferation index in luminal A like, luminal B HER2+ like, luminal B HER2- negative like, HER2 positive like and triple-negative or basal-like. All cases were examined for PRAME expression by immunohistochemistry (IHC). ResultsA PRAME-high profile was detected in 53 (24,1 %) of all examined breast carcinoma samples. A significantly higher expression of PRAME was detected in HER2-positive carcinomas (50 %) and TN breast carcinomas (40,54 %) compared to ER-positive (luminal-like) subtype of breast carcinomas (3,38 % luminal A and 15,38 % luminal B). Percentage of PRAME positive tumour cells showed positive correlation with tumor size, Ki67 proliferation index, HER2 status, nuclear grade, TILs and presence of metastasis, and negative correlation with ER status and disease-free survival (DFS). ConclusionOur study showed that HER2 positive and TN breast carcinomas more commonly express PRAME than ER positive carcinomas and that PRAME expression shows positive correlation with certain prognostic factors, however PRAME wasn't revealed as an independent prognostic factor in our study. The importance of PRAME expression in breast carcinoma lies in its potential use as an immunotherapeutic target, particularly in patients with limited therapeutic options.

Neoadjuvant Chemotherapy and Pathologic Complete Response in HR+/HER2− Breast Cancer: Impact of Tumor Ki67 and ER Status

Introduction: Neoadjuvant chemotherapy (NAC) is extensively employed in breast cancer (BC), primarily for aggressive subtypes like triple-negative and human epidermal growth factor receptor 2 (HER2)-positive BC and in estrogen receptor-positive (ER+)/HER2− BC with high-risk features. In ER+/HER2− BC, pathological complete rates are much lower (Methods: Retrospective data analysis from Kartal Dr. Lütfi Kırdar City Hospital included HR+/HER2− BC patients who received NAC. Clinicopathological factors, NAC response, and surgical outcomes were assessed. Statistical analyses evaluated the association between Ki67, ER status, and pCR. Results: Of 203 patients, 11.8% achieved pCR. Ki67 (p p p = 0.003, HR: 1.02) and ER percentage (p = 0.019, HR: 0.97) as independent predictors of pCR probability. Conclusion: Consideration of Ki67 and ER percentage aids in NAC decisions for HR+/HER2− BC, identifying patients with high NAC response rates, facilitating axillary preservation, and potentially avoiding axillary dissection. The pCR rates in patients with Ki67 ≤24 are particularly low, especially in patients with a high ER percentage. In these cases, upfront surgery and adjuvant treatment should be considered instead of NAC.

Development and validation of a combined ultrasound-pathology model to predict axillary status after neoadjuvant systemic therapy in breast cancer.

Background: This study aimed to develop a combined ultrasound (US)-pathology model to predict the axillary status more accurately after NST in breast cancer. Methods: This retrospective study included breast cancer patients who received NST at the First Affiliated Hospital of Nanjing Medical University from 2015 to 2022. Clinical, US, and pathological data were collected. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of axillary pathological complete response (pCR). The model was developed using the predictors and validated. Results: A total of 657 patients were enrolled in this study. Two multivariate logistic analyses were performed before and after the operation. The results showed that the clinical lymph nodes, ER status, HER2 status, chemotherapy response of primary tumor, hilum structure of axillary lymph nodes (ALNs) after NST, blood flow of ALNs after NST, vascular invasion, pathological size, and Miller-Payne grade (all p < 0.05) were independent predictors of axillary pCR. The US-based and combined US-pathology models were developed based on preoperative and postoperative information. The two models had an area under the receiver operating characteristic curve (AUC) of 0.821 and 0.883, respectively, which was significantly higher than that of the fine-needle aspiration model (AUC: 0.735). Conclusion: In this study, based on the US-based model, a combined model incorporating the characteristics of ALNs under US and breast pathology was developed and validated to predict axillary pCR.

Clinicopathological Analysis of GATA3 Positive Breast Cancers with Molecular Subtypes: A Cross-sectional Study

Introduction: In breast carcinoma, a panel of various marker proteins are used to characterise tumour subtypes, confirm tissue of origin, distinguish metastatic tumours from primary tumours, and provide additional information that may be important for prognosis, predicting response to therapy, or evaluating residual tumours post-treatment. Aim: To investigate the immunohistochemical expression of GATA binding protein 3 (GATA3) in breast carcinoma. Materials and Methods: This cross-sectional study was conducted in the Department of Pathology in collaboration with the Department of Surgery at Pt. BD Sharma, PGIMS, Rohtak, Haryana, India over the period of one year from April 2023 to March 2024. Tumour specimens (n=60) were obtained after modified radical mastectomy. All clinicopathological parameters were noted. Histological tumour grading was performed using the Nottingham Modification of the Bloom-Richardson (MBR) grading system, and representative sections were subjected to immunohistochemical analysis for Oestrogen Receptor (ER), Progesterone Receptor (PR), Human Epidermal growth factor Receptor 2/Neu (HER2/Neu), and Ki-67 for molecular subtyping, as well as GATA3 expression. The association between GATA3 expression and clinicopathological parameters and different breast cancer molecular subtypes was calculated using the Chi-square and Fisher’s exact Test. The collected data were analysed using the software package Statistical Package for the Social Sciences (SPSS) version 24.0. Results: The age of patients ranged from 28 to 75 years, with a median age of 50.0 years. Triple-negative/basal-like was the most common molecular subtype 20 (33.33%) among all cases. Sixteen cases (26.67%) were of the luminal A subtype. Other molecular subtypes included 12 cases (20%) each of luminal B and HER2-enriched types. GATA3 was positive in 45 of 60 cases, constituting 75% of all cases. A statistically significant relationship was observed between GATA3-positive tumours and histological grade (p-value=0.024), ER status (p-value&lt;0.001), PR status of the tumour (p-value=0.001), and the luminal A and B molecular subtypes (p-value&lt;0.001). No association was found between GATA3 expression and patient age, side of the breast involved, tumour size, histologic subtype, lymph node status, Nottingham Prognostic Index (NPI), or HER2/Neu status of the tumour. Conclusion: GATA3 is a sensitive marker of breast carcinoma and exhibits nuclear expression that aids in better interpretation. It can be especially useful in metastatic breast carcinoma when considered in conjunction with other immunohistochemical markers. GATA3-positive breast cancers demonstrate luminal differentiation and are characterised by high ER and PR expression.

Role of Epstein-Barr Virus in Breast Cancer: Correlation with Clinical Outcome and Survival Analysis.

Background: Breast cancer is the most prevalent cancer among women worldwide. The potential involvement of Epstein-Barr virus (EBV) in breast cancer pathogenesis has been a subject of debate, but its correlation with clinical outcomes remains uncertain. Methods: In this study, we collected 276 pathologically confirmed breast cancer tissue samples from the tissue bank of MacKay Memorial Hospital and the National Health Research Institutes in Taiwan. DNA was extracted from frozen tissue using The QIAamp DNA Mini Kit. The Taqman quantitative PCR method was employed to assess the EBV copy number per cell in these samples, using NAMALWA cells as a reference. We performed statistical analyses, including 2 × 2 contingency tables, Cox regression analysis, and Kaplan-Meier survival curves, to explore the association between clinicopathologic factors and survival outcomes in breast cancer patients. We analyzed both relapse survival, which reflects the period patients remain free from cancer recurrence post-treatment, and overall survival, which encompasses all-cause mortality. Results: Our results revealed a significant association between EBV status and relapse survival (hazard ratio: 2.75, 95% CI: 1.30, 5.86; p = 0.008) in breast cancer patients. However, no significant association was found in overall survival outcomes. Additionally, we observed significant associations between ER status and tumor histologic grade with both overall and relapse survival. Patients with EBV-positive tumors exhibited higher recurrence rates compared to those with EBV-negative tumors. Furthermore, we noted significant correlations between EBV status and HER-2 (p = 0.0005) and histological grade (p = 0.02) in our cohort of breast cancer patients. Conclusions: The presence of EBV in breast cancer tumors appears to exert an impact on patient outcomes, particularly concerning recurrence rates. Our findings highlight the significance of considering EBV status as a potential prognostic marker in breast cancer patients. Nonetheless, further research is essential to elucidate the underlying molecular mechanisms and develop novel therapeutic approaches.

The Programmed Cell Death Ligand 1 and Lipocalin 2 Expressions in Primary Breast Cancer and Their Associations with Molecular Subtypes and Prognostic Factors.

Breast cancers exhibit molecular heterogeneity, leading to diverse clinical outcomes and therapeutic responses. Immune checkpoint inhibitors targeting PD-L1 have shown promise in various malignancies, including breast cancer. Lipocalin 2 (LCN2) has also been associated with tumor aggressiveness and prognostic potential in breast cancers. However, the expression of PD-L1 and LCN2 in breast cancer subtypes and their prognostic implications remains poorly investigated. A retrospective analysis of 89 primary breast cancer cases was conducted to assess PD-L1 and LCN2 expressions using immunohistochemistry. Cases were classified into four different molecular subtypes based on ER, PR, HER2, and Ki-67 status. Associations between PD-L1 and LCN2 expressions and various prognostic factors were examined. Although low expression of LCN2 (Allred score of <3) was observed even in normal breast tissue, LCN2 expression with increasing Allred score (≥3) positively correlated with the histological grade, high Ki-67 proliferation index, and ER/PR negativity. Significant elevations of LCN2 and PD-L1 expressions were observed in triple-negative and HER2-positive breast cancers. The results of the study highlight the association of LCN2 with known prognostic factors and molecular subtypes. To identify potential immunotherapy recipients, it would be useful to evaluate LCN2 as well as PD-L1 immune targets in different subgroups of breast cancer patients. Further studies with larger patient numbers are warranted to validate these observations and establish standardized scoring criteria for LCN2 expression assessment.

Investigation of the association between the CASP8rs1045485 and SOD2 rs4880 single nucleotide polymorphisms (SNPs) with breast cancer

IntroductionSingle nucleotide polymorphisms (SNPs) have been identified as prognostic markers that can influence the response to chemotherapy and, ultimately, the outcome of the disease. The objective of this study is to investigate the association between the rs1045485 and rs4880 variants and breast cancer. MethodsNinety-nine cases and 81 healthy individuals (over 60 years old) were recruited from Iranian population. Genotyping of the rs1045485 and rs4880 polymorphisms was determined using the PCR-RFLP molecular method. The obtained results were then evaluated using the SPSS 23.0, odds ratios (ORs) with 95 % confidence intervals (95 %CIs). ResultsThe average age of the subjects was 50.17± 1.8 years, with age ranging from 40 to 76 years. Additionally, more patients were in stage and grade 2 of the disease. Furthermore, 51.73 %, 53.24 % and 41.48 % of patients tested positive for ER, PR and HER2 status, respectively. The odds ratios of the genotypes studied for each of the two variants were not statistically significant. Additionally, all models (dominant, codominant, recessive and over dominant) also indicated that this difference was not significant (p > 0.05). Investigation of the association between the CASP8rs1045485 and SOD2 rs4880 variants with clinicopathological status were not revealed a significant relationship. The Hardy-Weinberg test showed that the evaluated population was balanced (p > 0.05). ConclusionIn the studied models of both polymorphisms, no significant correlation was found between the genotypes and the conditions of estrogen, progesterone and Her2 receptors, as well as the stage and grade of the disease.

Assessment of Tissue Eosinophilic Infiltration in Invasive Mammary Carcinoma.

Background: Stromal inflammatory cells in malignant tissue have recently gained increasing interest. Unlike the extensive research on tumor-infiltrating lymphocytes, published data about tumor-infiltrating eosinophils in breast cancer are scarce. Furthermore, similar studies have yet to be conducted in Iraq. Aims: The objective of this study is to examine the presence of eosinophilic infiltration by direct visualization using light microscopy and to analyze its relationship with other histological parameters in a group of Iraqi women diagnosed with invasive mammary cancer. Methods and material: A retrospective study enrolled 90 histological samples of invasive mammary carcinoma provided by core needle biopsy from a single center, together with their immunohistochemical results for ER and HER2-NEU. Data reviewing, direct morphological visualizations, and counting eosinophilic infiltration in tissue sections were done by two independent pathologists using light microscopy. The results were statistically correlated with the grade, ER, HER2-NEU, calcification, and axillary lymph node status at presentation. Results: Out of the entire sample size (90), 40 (44%) showed the presence of eosinophilic infiltration in the tissue, both intratumoral and stromal. Further analysis revealed that most eosinophilic infiltrates had an intermediate score (4-19) per 10 consecutive high-power fields. A strong and meaningful statistical relationship was seen between tissue eosinophilic infiltration and HER2/NEU status. A statistically insignificant correlation was seen between tissue eosinophilic infiltration and histological grade, ER receptor status, calcification, and axillary lymph node status at presentation. Conclusions: Eosinophils are tumor-infiltrating cells in breast cancer, both intratumoral and stromal. The presence of tissue eosinophilic infiltration can predict HER2/NEU negativity in breast cancer.

Investigation of breast cancer molecular subtype in a multi-ethnic population using MRI.

Accurate subtyping of breast cancer is crucial for its diagnosis, management, and prognostication. This study aimed to determine the association of magnetic resonance imaging (MRI) breast features with the molecular subtype and aggressiveness of breast cancer in a multi-ethnic population. Treatment-naive patients with invasive breast carcinoma were included in this retrospective study. Breast MRI features were recorded based on the American College of Radiology-Breast Imaging Reporting and Data System (ACR-BIRADS) criteria, with tumour size, and apparent diffusion coefficient value (ADC). The statistical association was tested with Pearson Chi-Square Test of Independence for categorical data or the Kruskal-Wallis/ Mann Whitney U test for numerical data between the MRI features and molecular subtype, receptor status, tumour grade, lymphovascular infiltration (LVI) and axillary lymph node (ALN). Multinomial logistic regression was used to test the predictive likelihood of the significant features. The breast cancer subtypes were determined via immunohistochemistry (IHC) and dual-color dual-hapten in-situ hybridization (D-DISH). The expression statuses of ER, PR, and HER-2, LVI, and ALN were obtained from the histopathology report. The ER / PR / HER-2 was evaluated according to the American Society of Clinical Oncology / College of American Pathologists. The study included 194 patients; 41.8% (n = 81) Chinese, 40.7% (n = 79) Malay, and 17.5% (n = 34) Indian, involving 71.6%(n = 139) luminal-like, 12.9%(n = 25) HER-2 enriched, and 15.5%(n = 30) Triple-negative breast cancer (TNBC). TNBC was associated with rim enhancement (p = 0.002) and peritumoral oedema (p = 0.004). HER-2 enriched tumour was associated with larger tumour size (p = 0.041). Luminal-like cancer was associated with irregular shape (p = 0.005) with circumscribed margin (p = 0.003). Other associations were ER-negative tumour with circumscribed margin (p = 0.002) and PR-negative with round shape (p = 0.001). Tumour sizes were larger in ER-negative (p = 0.044) and PR-negative (p = 0.022). Rim enhancement was significantly associated with higher grade (p = 0.001), and moderate peritumoral oedema with positive axillary lymph node (p = 0.002). Certain MRI features can be applied to differentiate breast cancer molecular subtypes, receptor status and aggressiveness, even in a multi-ethnic population.

Histopathological prognostic factors in post NACT ovarian cancers: A retrospective study

Epithelial ovarian carcinoma is the most common type of all the ovarian cancers. The patients with advanced stage are initially treated with neo-adjuvant chemotherapy followed by interval debulking surgery. The high mortality rate is mainly due to advanced stage disease at initial presentation. This a retrospective study carried out in department of pathology at Bhagwan Mahaveer cancer hospital, Jaipur. The retrospective cases data was collected and analyzed from patient records on basis of inclusion and exclusion criteria.: Patients of advanced ovarian cancer with fibrosis grade 3, necrosis grade 2, presence of psammoma bodies, presence of collagen deposition, low Ki67 index, positive ER status were associated with longer DFS (p value= 0.014,0.029,0.033,0.028,0.001 and 0.001 respectively) and OS (P value 0.025,0.005,0.002,0.015,0.001 and 0.001 respectively).We propose that the prognostic histopathological parameters analysed in our study in post NACT patients of ovarian carcinoma should be reported in final histopathological report, as these factors can provide an extra tool for clinicians to optimize patient management and care.

Eribulin along with capecitabine in relapsed invasive breast cancer- a retrospective single-Institutional study

Background: Invasive breast cancer is the most commonly diagnosed cancer at present. Due to systemic nature of disease, chemotherapy plays an important role in treatment of invasive breast cancer. Relapse (loco-regional or metastatic) is not uncommon in this disease. Both eribulin and capecitabine are effective as single agent in relapsed disease. But in combination, efficacy of these two chemotherapeutic medicines are not properly known. In this single-Institutional retrospective study, Eribulin and capecitabine have been assessed as combination chemotherapy in patients with relapsed breast cancer.&#x0D; Materials and methods: Patients with relapsed breast cancer, having ER and/or PR positive, Her-2/neu negative or triple negative status and received eribulin alongwith capecitabine, were included in our study. Primary objective of this study was to assess response, progression-free survival (PFS) and overall survival (OS). Secondary objective was toxicity assessment.&#x0D; Results: 48 patients were included in our study. Median age of patients was 56 years. Thirty six (75%) patients had ER and/or PR positive status and twelve (25%) patients had ER/PR negative status. Five (10.4%) patients achieved complete response (CR). Thirty two (66.7%) patients achieved partial response (PR). Disease was stable (SD) in nine (18.8%) patients. Two (4.2%) patients suffered from progressive disease (PD). Median Progression-free survival (PFS) was 10.15 months. Mean of PFS of patients was 10.72 (95% CI- 9.72-11.72) months. Median overall survival (OS) was 18.15 months. Mean of overall survival of patients was 19.56 (95% CI- 17.9-21.22) months. Nineteen (39.6%) and three (6.2%) patients experienced grade 2 and grade 3 anemia respectively. Eighteen (37.5%) and two (4.2%) patients suffered from grade 2 and grade 3 neutropenia respectively. One patients experienced grade 2 thrombocytopenia. Nineteen (39.6%) patients experienced grade 2 diarrhoea. One patients suffered from grade 3 diarrhoea. Palmo-plantor erythrodysesthesia had been experienced by eight (16.7%) patients. Six (12.5%) patients suffered from grade 2 neuropathy. Two (4.2%) patients experienced grade 3 neuropathy. Fatigue had been experienced by 19 (39.6%) patients.&#x0D; Conclusion: Eribulin alongwith capectabine can be used in patients with relapsed invasive breast cancer, in whom anthracycline and taxane have previously been used; with response rate and survival better than either single agent chemotherapy. This regimen is important particularly for triple negative breast cancer (TNBC), where option for chemotherapy is limited.

Risk factors and survival of triple-negative breast cancer among breast cancer patients: Ten-year cross-sectional study in the southwestern Iranian population.

Breast cancer results from genetic and epigenetic mutations, contributing significantly to cancer-related morbidity and mortality. This study aimed to determine the prevalence and survival rates of triple-negative breast cancer (TNBC) among breast cancer patients in southwestern Iran over a ten-year period. This retrospective cross-sectional study aims to assess prognostic factors associated with survival in women diagnosed with breast cancer in Iran's southwestern region over a ten-year period (2007-2017). Data were collected from patients who visited the Clinical Oncology Department at Golestan Hospital in Ahvaz (the breast cancer center of the Southwestern country). The study enrolled women diagnosed with TNBC using a census method and data from medical records. The primary outcome (survival rates) and secondary outcomes (demographic data, diagnostic stages, and three receptors estrogen receptors [ER], progesterone receptor [PR], human epidermal growth factor receptor 2 [HER2] status) were collected. Breast cancer was diagnosed in 2641 women over ten years; TNBC was diagnosed in 227 individuals (8.59%). Statistical analysis revealed a significant correlation between negative ER status and TNBC (p > 0.05). Furthermore, the prevalence of TNBC differed significantly from that of other types of breast cancer (p = 0.0001). The variables of age, HER2, PR, and TNBC grade did not differ significantly (p > 0.05). The overall disease-free survival rate over 5 years was 88.1%, while the rate for individuals without recurrence was 77.97%. This study highlights a differentially low incidence of TNBC in the southwestern part of Iran when compared to other regions; genetic or epigenetic influences may explain this discrepancy. ER-negative status is a crucial prognostic indicator in diagnosing TNBC. The incidence of this disease is expected to rise by 100% in 2 years and 77.97% in 5 years.

Estrogen receptor-positive breast cancer and adverse outcome in BRCA2 mutation carriers and young non-carrier patients

Estrogen receptor-positive (ER+) breast cancer generally confers a more favorable prognosis than ER-negative cancer, however, a different picture is emerging for BRCA2 mutation carriers and young patients. We used nationwide data from population-based registries to study prognostic effects in those two groups. Of all 2817 eligible women diagnosed with breast cancer in Iceland during 1980–2004, 85% had been tested for the Icelandic 999del5 BRCA2 (c.771_775delTCAAA) founder pathogenic variant. We compared breast cancer-specific survival, effects of ER status, other clinical parameters, and treatment, between three mutually exclusive groups: BRCA2-carriers, non-carriers diagnosed 40 years or younger, and older non-carriers. Prevalence of the BRCA2 mutation among tested patients <=40 years of age was 21.0%, but it was 5.4% among women diagnosed >40 years of age. For ER+ cancer, breast cancer-specific 15-year survival was 49.7%, 55.2%, and 74.7%, among BRCA2-carriers, young and older non-carriers, respectively, whereas for ER-negative cancer, survival was similar (64.0–69.3%) for all three groups. Neither BRCA2 carriers nor young non-carriers did tumor grade 3 predict worse survival than did tumor grade 1. The adverse outcome for the young cases cannot be explained by BRCA2 mutations, as carriers were excluded from the group. Those two clinically important patient groups need special attention with respect to treatment choices, in particular, if diagnosed with ER+ tumors. It is thus advisable to have knowledge of BRCA2 status when treatment decisions are made. Finally, it is important to understand the biological basis for the specific nature of ER+ tumors in young women and BRCA2 carriers.

Gene Signature Associated with Nervous System in an Experimental Radiation- and Estrogen-Induced Breast Cancer Model.

Breast cancer is frequently the most diagnosed female cancer in the world. The experimental studies on cancer seldom focus on the relationship between the central nervous system and cancer. Despite extensive research into the treatment of breast cancer, chemotherapy resistance is an important issue limiting the efficacy of treatment. Novel biomarkers to predict prognosis or sensitivity to chemotherapy are urgently needed. This study examined nervous-system-related genes. The profiling of differentially expressed genes indicated that high-LET radiation, such as that emitted by radon progeny, in the presence of estrogen, induced a cascade of events indicative of tumorigenicity in human breast epithelial cells. Bioinformatic tools allowed us to analyze the genes involved in breast cancer and associated with the nervous system. The results indicated that the gene expression of the Ephrin A1 gene (EFNA1), the roundabout guidance receptor 1 (ROBO1), and the kallikrein-related peptidase 6 (KLK6) was greater in T2 and A5 than in the A3 cell line; the LIM domain kinase 2 gene (LIMK2) was greater in T2 than A3 and A5; the kallikrein-related peptidase 7 (KLK7), the neuroligin 4 X-linked gene (NLGN4X), and myelin basic protein (MBP) were greater than A3 only in T2; and the neural precursor cell expressed, developmentally down-regulated 9 gene (NEDD9) was greater in A5 than in the A3 and E cell lines. Concerning the correlation, it was found a positive correlation between ESR1 and EFNA1 in BRCA-LumA patients; with ROBO1 in BRCA-Basal patients, but this correlation was negative with the kallikrein-related peptidase 6 (KLK6) in BRCA-LumA and -LumB, as well as with LIMK2 and ROBO1 in all BRCA. It was also positive with neuroligin 4 X-linked (NLGN4X) in BRCA-Her2 and BRCA-LumB, and with MBP in BRCA-LumA and -LumB, but negative with KLK7 in all BRCA and BRCA-LumA and NEDD9 in BRCA-Her2. The differential gene expression levels between the tumor and adjacent tissue indicated that the ROBO1, KLK6, LIMK2, KLK7, NLGN4X, MBP, and NEDD9 gene expression levels were higher in normal tissues than in tumors; however, EFNA1 was higher in the tumor than the normal ones. EFNA1, LIMK2, ROBO1, KLK6, KLK7, and MBP gene expression had a negative ER status, whereas NEDD9 and NLGN4X were not significant concerning ER status. In conclusion, important markers have been analyzed concerning genes related to the nervous system, opening up a new avenue of studies in breast cancer therapy.

Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study

Approaches for rapidly identifying patients at high risk of early breast cancer recurrence are needed. Image-based methods for prescreening hematoxylin and eosin (H&E) stained tumor slides could offer temporal and financial efficiency. We evaluated a data set of 704 1-mm tumor core H&E images (2–4 cores per case), corresponding to 202 participants (101 who recurred; 101 non-recurrent matched on age and follow-up time) from breast cancers diagnosed between 2008–2012 in the Carolina Breast Cancer Study. We leveraged deep learning to extract image information and trained a model to identify recurrence. Cross-validation accuracy for predicting recurrence was 62.4% [95% CI: 55.7, 69.1], similar to grade (65.8% [95% CI: 59.3, 72.3]) and ER status (66.3% [95% CI: 59.8, 72.8]). Interestingly, 70% (19/27) of early-recurrent low-intermediate grade tumors were identified by our image model. Relative to existing markers, image-based analyses provide complementary information for predicting early recurrence.

Endocrine therapy initiation among women diagnosed with ductal carcinoma in situ breast cancer from 2001-2016.

487 Background: Endocrine therapy (ET) initiation in people within 1 year of diagnosis of estrogen-receptor-positive (ER+) ductal carcinoma in situ (DCIS) has ranged from 21-45% in prior studies; however, these studies did not evaluate initiation post-2011 and may not reflect current patterns of use. ET use following ER+ DCIS diagnosis can reduce the relative risks of recurrence and contralateral breast cancer by 30-50%. We evaluated ET initiation over time and by demographic, tumor, and treatment characteristics in the Kaiser Permanente Breast Cancer Survivors Study between 2001-2016. Methods: We included people aged 20+ years diagnosed with unilateral DCIS with at least 1 year of cancer-free follow-up from three U.S. integrated health systems. We excluded people with ER-negative disease, no surgery, and those who received chemotherapy or unknown radiation therapy. ET dispensings (tamoxifen and aromatase inhibitors) were extracted from electronic pharmacy records within 1 year of a person’s initial DCIS breast cancer diagnosis. Using generalized linear models with a log link and Poisson distribution, we estimated relative rates (RRs) of ET use (vs none) over time and by demographic, tumor, and other treatment characteristics. Results: Among 1,782 pre- and postmenopausal people, 577 (32%) initiated ET within 1 year of diagnosis. From 2001-2016, ET use did not change over time (34% vs 36%), tamoxifen use declined slightly (34% vs 29%), and aromatase inhibitor use increased slightly (0% vs 7%). People were less likely to initiate ET if they were ≥65 years, Black, had borderline or unknown ER status, were not tested for ER, had breast conserving surgery (BCS) without radiation, or had a unilateral mastectomy. Conclusions: Only one-third of people with DCIS diagnosed in a community healthcare setting and potentially eligible for ET, initiated treatment within 1 year of their diagnosis. Previous studies have shown long-term benefits of ET use in people with DCIS; however, we saw no increase in use over time. Concerns about side-effects, overdiagnosis and overtreatment of DCIS, and confusion about treatment guidelines may explain relatively low ET initiation.[Table: see text]

Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2-positive breast cancer patients: A machine learning approach.

About 15%-20% of breast cancer (BC) cases is classified as Human Epidermal growth factor Receptor type 2 (HER2) positive. The Neoadjuvant chemotherapy (NAC) was initially introduced for locally advanced and inflammatory BC patients to allow a less extensive surgical resection, whereas now it represents the current standard for early-stage and operable BC. However, only 20%-40% of patients achieve pathologic complete response (pCR). According to the results of practice-changing clinical trials, the addition of trastuzumab to NAC brings improvements to pCR, and recently, the use of pertuzumab plus trastuzumab has registered further statistically significant and clinically meaningful improvements in terms of pCR. The goal of our work is to propose a machine learning model to predict the pCR to NAC in HER2-positive patients based on a subset of clinical features. First, we evaluated the significant association of clinical features with pCR on the retrospectively collected data referred to 67 patients afferent to Istituto Tumori "Giovanni Paolo II." Then, we performed a feature selection procedure to identify a subset of features to be used for training a machine learning-based classification algorithm. As a result, pCR to NAC was associated with ER status, Pgr status, and HER2 score. The machine learning model trained on a subgroup of essential features reached an AUC of 73.27% (72.44%-73.66%) and an accuracy of 71.67% (71.64%-73.13%). According to our results, the clinical features alone are not enough to define a support system useful for clinical pathway. Our results seem worthy of further investigation in large validation studies and this work could be the basis of future study that will also involve radiomics analysis of biomedical images.

Predicting histopathological types and molecular subtype of breast tumors: A comparative study using amide proton transfer-weighted imaging, intravoxel incoherent motion and diffusion kurtosis imaging

PurposeTo evaluate the predictive performance of multiparameter and histogram features derived from amide proton transfer-weighted imaging (APTWI), intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) for histopathological types of breast tumors. MethodsRegion of interest (ROI) was delineated by outlining the largest slice of the tumor on the false-color images of the DKI, IVIM and APTWI parameters, and extracted the histogram features. Receiver operating characteristic (ROC) curve was used to evaluate the performance of parameters in predicting benign and malignant breast lesions, molecular prognostic biomarkers, lymph node status, and subtypes of breast lesions. The Spearman correlation coefficient was used to determine the correlations between each parameter and clinical-pathological factors. ResultsAll 52 breast lesions were enrolled in this prospective study, including 8 benign lesions and 44 breast cancers. To diagnose malignant and benign breast lesions, the value of APT (min) performed best, with the AUC reaching 0.983. According to the different imaging methods, the APTWI performed best. To predict the positive status of ER, PR, Ki67, the value of Dapp (uniformity), Dapp (uniformity), f (entropy) performed best, with the AUC values reaching 0.743, 0.770, 0.848, respectively. For the identification of Luminal B, HER2-enriched, and TNBC breast cancers, Kapp (max), f (kurtosis), and Dapp (uniformity) performed best, with AUC values reaching 0.679, 0.826, 0.771, respectively. ConclusionThis study found the APTWI, IVIM and DKI parameters could diagnose breast cancer. The histogram features of DKI and IVIM, based on tumor heterogeneity, may help to predict breast cancer subtypes.

Perturbation and stability of PAM50 subtyping in population-based primary invasive breast cancer

PAM50 gene expression subtypes represent a cornerstone in the molecular classification of breast cancer and are included in risk prediction models to guide therapy. We aimed to illustrate the impact of included genes and biological processes on subtyping while considering a tumor’s underlying clinical subgroup defined by ER, PR, and HER2 status. To do this we used a population-representative and clinically annotated early-stage breast tumor cohort of 6233 samples profiled by RNA sequencing and applied a perturbation strategy of excluding co-expressed genes (gene sets). We demonstrate how PAM50 nearest-centroid classification depends on biological processes present across, but also within, ER/PR/HER2 subgroups and PAM50 subtypes themselves. Our analysis highlights several key aspects of PAM50 classification. Firstly, we demonstrate the tight connection between a tumor’s nearest and second-nearest PAM50 centroid. Additionally, we show that the second-best subtype is associated with overall survival in ER-positive, HER2-negative, and node-negative disease. We also note that ERBB2 expression has little impact on PAM50 classification in HER2-positive disease regardless of ER status and that the Basal subtype is highly stable in contrast to the Normal subtype. Improved consciousness of the commonly used PAM50 subtyping scheme will aid in our understanding and interpretation of breast tumors that have seemingly conflicting PAM50 classification when compared to clinical biomarkers. Finally, our study adds further support in challenging the common misconception that PAM50 subtypes are distinct classes by illustrating that PAM50 subtypes in tumors represent a continuum with prognostic implications.