ER-negative Tumors Research Articles

Abstract 6817: Control of breast cancer via pro-resolving mediators

Abstract Tumor recurrence is the principal cause of mortality in breast cancer, yet the underlying mechanisms are not well understood. Anti-estrogen therapy, including tamoxifen, reduces tumor burden by inducing apoptosis and necrosis of cancerous tissue. The resulting cellular debris may stimulate tumor growth by disrupting inflammation resolution and creating pro-inflammatory and pro-tumorigenic microenvironments. Compared to estrogen receptor (ER)-positive breast cancer, ER-negative behaves aggressively, and patients have a poor prognosis due to the lack of treatment options. Here, we demonstrate that breast tumor cells killed by cytotoxic anti-estrogen therapy or chemotherapy (“tumor cell debris”) stimulate primary tumor growth when co-injected with a subthreshold (nontumorigenic) inoculum of tumor cells by triggering a macrophage-derived pro-inflammatory and pro-angiogenic “cytokine storm.” Thus, tumor cell debris is a critical risk factor for aggressive breast cancer growth. To assess whether stimulating the clearance of debris would impact breast cancer progression in vivo, we utilized maresin 1 (MaR1), maresin conjugates in tissue regeneration (MCTR1, MCTR2) and protectin conjugates in tissue regeneration (PCTRs), which are specialized pro-resolving lipid autacoid mediators (SPMs). We treated established models of ER-positive (EO771) and negative (4T1) breast cancer. Each maresin sharply reduced tumor growth in debris-stimulated and spontaneous (e.g. MMTV-PyMT) breast cancer models at nanogram concentrations without toxicity. Notably, PCTR1 inhibited orthotopic triple-negative (4T1) growth and proliferation compared to chemotherapy (paclitaxel) or immunotherapy (anti-cytotoxic T-lymphocyte-associated protein 4, CTLA4). Similarly, PCTR1 alone or in combination with chemotherapy (paclitaxel) reduced gene expression and protein levels of pro-angiogenic factor CXCL12/SDF1 in the ER-negative (4T1) tumor microenvironment. In ER-positive (EO771), a triple combination of PCTR1, chemotherapy (paclitaxel), and immunotherapy (anti-CTLA4) treatment potentiated the immune checkpoint blockade. Maresins also stimulated macrophage phagocytosis of therapy-generated breast tumor cell debris, inhibited tumor angiogenesis, and dampened a therapy-induced cytokine storm, including TNF-α, MIP-2/CXCL2, CCL2/MCP-1, IL- 1ra/IL-1F3, and G-CSF. Expression of SPM receptors (e.g. resolvin D1 (RvD1) receptor ALX/FPR2, resolvin D2 (RvD2) receptor GPR18, maresin 1 (MaR1) receptor LGR6, and resolvin E1 (RvE1) receptor ChemR23) were specifically identified in breast cancer tissue. Taken together, the maresin and protectin pathway mediators may represent a new therapeutic approach to stimulate the resolution of inflammation in breast cancer. Citation Format: Sarina A. Virani, Michael Gillespie, Haixia Yang, Diane R. Bielenberg, Mark W. Kieran, Sui Huang, Charles N. Serhan, Dipak Panigrahy. Control of breast cancer via pro-resolving mediators [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6817.

Abstract 3505: Classification of cancer subtypes by cfDNA fragmentomics analysis

Abstract Introduction Fragmentation patterns of cell-free DNA (cfDNA) from whole genome sequencing offer insights into nucleosome occupancy, providing a tool to infer epigenomic and transcriptomic information. The nucleosome complex, the primary protector of cfDNA, is reflected in the size distribution of cfDNA fragments, with a mode fragment size of 167 bp corresponding to the wrapping of DNA around a single nucleosome. Nucleosome occupancy patterns at transcription factor binding sites (TFBS) exhibit differences between circulating tumor DNA in cancer patients and normal plasma controls, as well as among different tumor subtypes. Therefore, cfDNA fragmentomics can be employed for cancer subtyping analysis. Methods We utilized the Griffin framework to classify tumor subtypes based on nucleosome profiling of cancer-specific TFBS and tumor subtype-specific chromatin accessibility regions from low-pass whole genome sequencing data of cfDNA. For prostate cancer subtyping, AR and ASCL1 binding sites were used to distinguish between androgen receptor-dependent prostate cancer (ARPC) and neuroendocrine prostate cancer (NEPC). ER and ERBB2 were employed for breast cancer subtyping to differentiate between ER-positive and ER-negative tumor subtypes. Results Nucleosome profiling patterns at AR binding sites (ARBS) were compared among over 500 prostate cancer plasma samples and 42 normal plasma backgrounds. The ARBS nucleosome profiling abnormality score (ARBS score) was quantified by comparing its GC-corrected fragment central coverage with the normal background using a standard Z-score.Majority of prostate cancer samples with a high ARBS score could be classified as ARPC. For 12 samples with high tumor fraction but low ARBS score and no AR copy number amplification, we found that 8 had a high ASCL1 nucleosome profiling abnormality score. All these samples also exhibited RB1 copy number loss, suggesting that these 8 samples likely belong to NEPC. Nucleosome profiling of 171 breast cancer plasma samples at breast cancer-specific ER binding sites revealed that majority of samples had a high ERBS abnormality score, indicating likely ER-positive breast cancer. Conclusion Our results demonstrate that nucleosome profiling of tumor cfDNA exhibits distinct patterns across different tumor types. Integrating nucleosome profiling at cancer-specific transcription factor binding sites can facilitate cancer subtyping, highlighting its potential clinical utility for patient stratification. Citation Format: Lisha Zhu, Chao Dai, Shuang Gan, Shidong Jia, Pan Du. Classification of cancer subtypes by cfDNA fragmentomics analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3505.

BIRC5 expression by race, age and clinical factors in breast cancer patients

PurposeSurvivin/BIRC5 is a proliferation marker that is associated with poor prognosis in breast cancer and an attractive therapeutic target. However, BIRC5 has not been well studied among racially diverse populations where aggressive breast cancers are prevalent.Experimental designWe studied BIRC5 expression in association with clinical and demographic variables and as a predictor of recurrence in 2174 participants in the Carolina Breast Cancer Study (CBCS), a population-based study that oversampled Black (n = 1113) and younger (< 50 years; n = 1137) participants with breast cancer. For comparison, similar analyses were conducted in The Cancer Genome Atlas [TCGA N = 1094, Black (n = 183), younger (n = 295)]. BIRC5 was evaluated as a continuous and categorical variable (highest quartile vs. lower three quartiles).ResultsUnivariate, continuous BIRC5 expression was higher in breast tumors from Black women relative to non-Black women in both estrogen receptor (ER)-positive and ER-negative tumors and in analyses stratified by stage (i.e., within Stage I, Stage II, and Stage III/IV tumors). Within CBCS and TCGA, BIRC5-high was associated with young age (< 50 years) and Black race, as well as hormone receptor-negative tumors, non-Luminal A PAM50 subtypes, advanced stage, and larger tumors (> 2 cm). Relative to BIRC5-low, BIRC5-high tumors were associated with poor 5-year recurrence-free survival (RFS) among ER-positive tumors, both in unadjusted models [HR (95% CI): 2.7 (1.6, 4.6)] and after adjustment for age and stage [Adjusted HR (95% CI): 1.87 (1.07, 3.25)]. However, this relationship was not observed among ER-negative tumors [Crude HR (95% CI): 0.7 (0.39, 1.2); Adjusted HR (95% CI): 0.67 (0.37, 1.2)].ConclusionBlack and younger women with breast cancer have a higher burden of BIRC5-high tumors than older and non-Black women. Emerging anti-survivin treatment strategies may be an important future direction for equitable breast cancer outcomes.

Expression of transferrin receptor 1 and β1-integrins correlates with estrogen receptor status and immune infiltration in breast cancer

To study of transferrin receptor 1 (CD71) expression by primary breast cancer cells in correlation with tumor cell phenotype. Determination of BC phenotype: immunohistochemical staining method (immunofluorescence). Antibodies to ER (estrogen receptors), KL-1 (pancytokeratin), CD71 (transferrin receptor), CD29 (β1-integrins). CD45, CD3, CD4, CD8, CD20 infiltration was also evaluated. ZEISS microscope (AXIOSKOP; Germany), method of G.J. Hammerling et al. Statistical processing: IBM-SPSS Statistics v.21. 63% of BC cases had CD71+ phenotype. CD71-mosaic tumors were observed in 14.4%. β1-integrin expression was monomorphic in 51.6% of cases and mosaic in 38.7%. 85% of ER-positive tumors were CD71-positive with a monomorphic type of reaction; p=0.014. Among ER-negative tumors, CD71-negative reactions were 2-fold more frequent and the monomorphic type was less frequent. ER-positive tumors were CD29-positive in 73%; p=0.031. 45.5% of ER+ tumors were CD29-monomorphic. Among ER-negative tumors, the frequency of CD29-monomorphic tumors was 55%. Significant infiltration by CD3+ cells was predominant in CD71-positive tumors; p=0.016. In the CD29-monomorphic phenotype, CD45+ infiltration was 31.3%, and in the mosaic phenotype, 67.1%. BC aberrantly expresses transferrin receptors, β1-integrins. CD71 expression is associated with ER expression. ER-positive tumors are often monomorphic for CD71. Prominent CD3+ infiltration was present in CD71+ tumors. Expression of β1-integrins correlated with ER+ status and weak immune infiltration.

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.

Quantitative expression of oestrogen receptor in breast cancer: Clinical and molecular significance

BackgroundOestrogen receptor (ER) positive breast cancer (BC) patients are eligible for endocrine therapy (ET), regardless of ER immunohistochemical expression level. There is a wide spectrum of ER expression and the response to ET is not uniform. This study aimed to assess the clinical and molecular consequences of ER heterogeneity with respect to ET-response. MethodsER expression, categorised by percentage and staining intensity in a large BC cohort (n = 7559) was correlated with clinicopathological parameters and patient ET response. The Cancer Genome Atlas Data BC cohort (n = 1047) was stratified by ER expression and transcriptomic analysis completed to better understand the molecular basis of ER heterogeneity. ResultsThe quantitative proportional increase in ER expression was positively associated with favourable prognostic parameters. Tumours with 1–9% ER expression were characteristically similar to ER-negative (<1%) tumours. Maximum ET-response was observed in tumours with 100% ER expression, with responses significantly different to tumours exhibiting ER at < 100% and significantly decreased survival rates were observed in tumours with 50% and 10% of ER expression. The Histochemical-score (H-score), which considers both staining intensity and percentage, added significant prognostic value over ER percentage alone with significant outcome differences observed at H-scores of 30, 100 and 200. There was a positive correlation between ER expression and ESR1 mRNA expression and expression of ER-regulated genes. Pathway analysis identified differential expression in key cancer-related pathways in different ER-positive groups. ConclusionET-response is statistically proportionally related to ER expression with significant differences observed at 10%, 50% and 100%. The H-score adds prognostic and predictive information.

Abstract B070: Characterizing breast cancer etiologic subtypes in the Ghana Breast Health Study

Abstract Background: Breast cancer subtyping has largely been based on immunohistochemical markers of estrogen receptor status. However, RNA-based intrinsic subtypes, including luminal (hormone receptor-positive) and non-luminal (hormone receptor-negative) have been shown to be etiologically relevant, with studies also suggesting other tumor markers (e.g., TP53 status) to be important contributors to etiologic heterogeneity. Compared to luminal tumors, non-luminal tumors are more likely to be TP53 mutant than wildtype-like. TP53 mutant breast cancers are associated with more aggressive tumor features and these mutations are more common among cases of African descent. However, few RNA-based subtyping studies have described etiologic heterogeneity in indigenous African populations. Therefore, we evaluated associations between established breast cancer risk factors and risk of PAM50 intrinsic subtypes and tumor subtypes defined by RNA-based TP53 functional status in the population-based Ghana Breast Health Study (GBHS). Methods: We analyzed data from 600 invasive breast cancer cases and 2,528 controls in the GBHS. RNA was extracted from formalin-fixed paraffin-embedded tumor samples and run on the nCounter® Breast Cancer 360™ Panel. Samples were then classified for intrinsic subtype (N=285 luminal, N=315 non-luminal) using a research version of the PAM50 assay and for TP53 functional status (N=333 wildtype-like, N=300 mutant-like) using a validated RNA signature. Odds ratios (OR) and 95% confidence intervals (CI) were estimated for risk factors using polytomous logistic regression models adjusted for potential confounders. Results: About 1 in 4 tumors classified as ER-positive by immunohistochemistry were non-luminal by RNA expression. Similarly, about 1 in 5 ER-negative tumors were reclassified as luminal. Etiologic heterogeneity was observed by luminal subtype for certain reproductive factors. Higher parity (≥3 vs. &amp;lt;3 births) was associated with lower risk of luminal tumors (OR [95% CI] = 0.68 [0.49, 0.92]), but not with non-luminal tumors (0.95 [0.69, 1.30]). Likewise, later age at first birth (≥26 vs. &amp;lt;19 years) was more strongly associated with risk of luminal than non-luminal tumors (2.16 [1.37, 3.40] and 1.30 [0.84, 2.00], respectively). Consistent with previous findings, TP53 status was also an important etiologic factor and risk factor patterns mirrored those for luminal/non-luminal subtypes. Finally, we evaluated cross-classification of these two etiologic markers to identify risk factors that represent the dual action of both an estrogenic and a DNA-repair pathway. Age at first birth seems to suggest dual action. Conclusions: This study used high-quality RNA expression data to show that intrinsic subtype and TP53 status are useful breast tumor markers for describing etiologic heterogeneity, with cross-classification leading to improved understanding of the etiologic underpinnings of certain risk factors. This work has important implications for the use of gene-expression-based subtyping for breast cancer classification in this population. Citation Format: Amber N. Hurson, Ebonee N. Butler, Alina M. Hamilton, Bernard Petershie, Thomas U. Ahearn, Melissa A. Troester, Jonine Figueroa, Nicolas Titiloye, Montserrat Garcia-Closas, Mustapha Abubakar. Characterizing breast cancer etiologic subtypes in the Ghana Breast Health Study [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr B070.

Abstract C012: Integration of social variables resolves subclasses of tumor microenvironment

Abstract Intro: Recent work has identified subclasses of the tumor microenvironment, with most work emphasizing a robust adaptive immune response associated with ER-negative and/or basal-like tumors. Since adaptive immune responses may influence response to chemotherapy and may be targetable by immunotherapy, understanding population-level heterogeneity in immune response is important. Methods: We leveraged the Carolina Breast Cancer Study (CBCS), a large population-based study that oversampled young (≤50 years) and Black women with invasive breast cancer (BC). We performed NanoString gene expression profiling on tissue from 1,329 BC patients, including 704 (53%) Black and 625 (47%) non-Black women, and assayed genes representative of at least 10 individual immune cell types from both adaptive and innate arms of the immune system, homologous recombination deficiency signature and TP53 mutation status. Using a latent class approach that included variables for self-reported race, triple negative status, individual measures of socioeconomic status and community-level measures of advantage and disadvantage, we identified latent classes that integrated tumor microenvironment with tumor biology, individual and community level exposures under a Cells-to-Society conceptual model of breast cancer outcomes. Results: Latent Class Analysis identified 6 integrated classes of the tumor microenvironment, further subdividing a previously identified and validated adaptive immune class into two subgroups. The two adaptive classes were distinguished by different expression levels of B-cells, CD8+ T cells, cytotoxic cells and PD-L1, and differing frequency of basal-like subtype (Adaptive Class 1 RFD [95% CI]: 19.0 [11.9, 26.2]; Adaptive Class 2 RFD [95% CI]: 32.8 [23.3,42.3]) and presence of genomic instability gene expression subtypes (Adaptive Class-1 RFD [95% CI]: 22.1 [14.0, 30.1]; Adaptive Class-2 RFD [95% CI]: 37.5 [28.1,46.2]) relative to the immune-quiet tumors. Discussion: Social variables have complex effects on tumor biology and microenvironment, but latent class models and other model-based approaches may help to integrate biological data with other social factors to identify susceptible subgroups and to optimize precision medicine in diverse populations. Citation Format: Alina M. Hamilton, Kara McCormack, Marc A. Emerson, Melissa A. Troester, Terry Hyslop. Integration of social variables resolves subclasses of tumor microenvironment [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr C012.

Patient Characteristics Associated with Growth of Patient-Derived Tumor Implants in Mice (Patient-Derived Xenografts).

Background: patient-derived xenografts (PDXs) have defined the field of translational cancer research in recent years, becoming one of the most-used tools in early drug development. The process of establishing cancer models in mice has turned out to be challenging, since little research focuses on evaluating which factors impact engraftment success. We sought to determine the clinical, pathological, or molecular factors which may predict better engraftment rates in PDXs. Methods: between March 2017 and January 2021, tumor samples obtained from patients with primary or metastatic cancer were implanted into athymic nude mice. A full comprehensive evaluation of baseline factors associated with the patients and patients' tumors was performed, with the goal of potentially identifying predictive markers of engraftment. We focused on clinical (patient factors) pathological (patients' tumor samples) and molecular (patients' tumor samples) characteristics, analyzed either by immunohistochemistry (IHC) or next-generation sequencing (NGS), which were associated with the likelihood of final engraftment, as well as with tumor growth rates in xenografts. Results: a total of 585 tumor samples were collected and implanted. Twenty-one failed to engraft, due to lack of malignant cells. Of 564 tumor-positive samples, 187 (33.2%) grew at time of analysis. The study was able to find correlation and predictive value for engraftment for the following: the use of systemic antibiotics by the patient within 2 weeks of sampling (38.1% (72/189) antibiotics- group vs. 30.7% (115/375) no-antibiotics) (p = 0.048), and the administration of systemic steroids to the patients within 2 weeks of sampling (41.5% (34/48) steroids vs. 31.7% (153/329), no-steroids) (p = 0.049). Regarding patient's baseline tests, we found certain markers could help predict final engraftment success: for lactate dehydrogenase (LDH) levels, 34.1% (140/411) of tumors derived from patients with baseline blood LDH levels above the upper limit of normality (ULN) achieved growth, against 30.7% (47/153) with normal LDH (p = 0.047). Histological tumor characteristics, such as grade of differentiation, were also correlated. Grade 1: 25.4% (47/187), grade 2: 34.8% (65/187) and grade 3: 40.1% (75/187) tumors achieved successful growth (p = 0.043), suggesting the higher the grade, the higher the likelihood of success. Similarly, higher ki67 levels were also correlated with better engraftment rates: low (Ki67 < 15%): 8.9% (9/45) achieved growth vs. high (Ki67 ≥ 15%): 31% (35/113) (p: 0.002). Other markers of aggressiveness such as the presence of lymphovascular invasion in tumor sample of origin was also predictive: 42.2% (97/230) with lymphovascular vs. 26.9% (90/334) of samples with no invasion (p = 0.0001). From the molecular standpoint, mismatch-repair-deficient (MMRd) tumors showed better engraftment rates: 62.1% (18/29) achieved growth vs. 40.8% (75/184) of proficient tumors (p = 0.026). A total of 84 PDX were breast models, among which 57.9% (11/19) ER-negative models grew, vs. 15.4% (10/65) of ER-positive models (p = 0.0001), also consonant with ER-negative tumors being more aggressive. BRAFmut cancers are more likely to achieve engraftment during the development of PDX models. Lastly, tumor growth rates during first passages can help establish a cutoff point for the decision-making process during PDX development, since the higher the tumor grades, the higher the likelihood of success. Conclusions: tumors with higher grade and Ki67 protein expression, lymphovascular and/or perineural invasion, with dMMR and are negative for ER expression have a higher probability of achieving growth in the process of PDX development. The use of steroids and/or antibiotics in the patient prior to sampling can also impact the likelihood of success in PDX development. Lastly, establishing a cutoff point for tumor growth rates could guide the decision-making process during PDX development.

The expression of O-linked glycosyltransferase GALNT7 in breast cancer is dependent on estrogen-, progesterone-, and HER2-receptor status, with prognostic implications.

GALNT7 is a glycosyltransferase enzyme transferring N-acetylgalactosamine to initiate O-linked glycosylation in the Golgi apparatus. Breast cancer is the most common cancer in women globally. Estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2; ERBB2) are important biomarkers in the prognosis and molecular subtyping of breast cancer. Here, we showed that ER-positive, PR-positive or HER2-positive breast tumors have higher expression of GALNT7 compared to ER-negative, PR-negative or HER2-negative breast tumors, respectively. We found that CpG-aggregated methylation of GALNT7 gene is decreased, and in parallel, its transcript levels are increased in breast cancer compared to healthy breast tissue. We observed that the difference in the expression of GALNT7 between negative and positive status of the receptors is the highest for HER2, followed by ER and PR, pointing that HER2 might be relatively more influential than ER and PR on the expression of GALNT7 in breast cancer. We reported that basal-like breast tumors have decreased expression of GALNT7 compared to non-basal-like tumors, and that high GALNT7 expression is associated with favorable relapse-free and distant metastasis-free survival in HER2 status-dependent manner in breast cancer patients. Moreover, we showed that GALNT7 expression in breast cancer is cell type- (epithelial vs stromal cells), tumor grade- and ethnicity-dependent. Combined, we propose that GALNT7 might contribute to different clinical outcomes depending on the receptor status in breast cancer, and that a better understanding of GALNT7 and its function in the context of breast cancer is needed.

Concordance Between Core Needle Biopsy and Surgical Specimens in Determining Molecular Biological Subtypes of Breast Cancer by Immunohistochemistry

Background: Breast carcinoma is the most common malignancy among women around the world. Core needle biopsy provides samples that are adequate in size thus allowing a histological diagnosis of breast carcinomas. CNB specimens can also be used for the immunohistochemical (IHC) assays of hormone receptors. Aims: To evaluate the concordance of ER, PR, HER2 Neu and Ki-67 in core needle biopsy and surgical specimens obtained by Modified radical mastectomy (MRM). Methods: A cross-sectional observational study was conducted in the Department of Pathology in association with the Department of Surgery at Murshidabad Medical College and Hospital for a duration of one and a half years. Patients undergoing Core needle biopsy of the breast who have been diagnosed with breast carcinoma on the basis of histopathology report and subsequently planned for MRM who have given consent for the study were included in this study. The samples were classified according to the immunohistochemical staining into four molecular subtypes: Luminal A, Luminal B, HER 2 Neu enriched, and triple-negative subtype depending on the expression of ER, PR, HER 2 Neu, and Ki-67. Result: The most common molecular subtype of breast carcinoma in both CNB and MRM specimens was the Triple-negative subtype. Conclusion: CNB has been found to be a reliable diagnostic tool that can help in determining Histopathological biomarkers for ER, PR positive, and HER2 Neu positive or negative tumors and it has also been found that retesting these markers again on the surgical specimens may not be necessary. Keywords: Core needle biopsy, Breast carcinoma, Molecular subtyping, Immunohistochemistry

External validation and clinical utility assessment of PREDICT breast cancer prognostic model in young, systemic treatment-naïve women with node-negative breast cancer

BackgroundThe validity of the PREDICT breast cancer prognostic model is unclear for young patients without adjuvant systemic treatment. This study aimed to validate PREDICT and assess its clinical utility in young women with node-negative breast cancer who did not receive systemic treatment. MethodsWe selected all women from the Netherlands Cancer Registry who were diagnosed with node-negative breast cancer under age 40 between 1989 and 2000, a period when adjuvant systemic treatment was not standard practice for women with node-negative disease. We evaluated the calibration and discrimination of PREDICT using the observed/expected (O/E) mortality ratio, and the area under the receiver operating characteristic curve (AUC), respectively. Additionally, we compared the potential clinical utility of PREDICT for selectively administering chemotherapy to the chemotherapy-to-all strategy using decision curve analysis at predefined thresholds. ResultsA total of 2264 women with a median age at diagnosis of 36 years were included. Of them, 71.2% had estrogen receptor (ER)-positive tumors and 44.0% had grade 3 tumors. Median tumor size was 16 mm. PREDICT v2.2 underestimated 10-year all-cause mortality by 33% in all women (O/E ratio:1.33, 95%CI:1.22–1.43). Model discrimination was moderate overall (AUC10-year:0.65, 95%CI:0.62–0.68), and poor for women with ER-negative tumors (AUC10-year:0.56, 95%CI:0.51–0.62). Compared to the chemotherapy-to-all strategy, PREDICT only showed a slightly higher net benefit in women with ER-positive tumors, but not in women with ER-negative tumors. ConclusionsPREDICT yields unreliable predictions for young women with node-negative breast cancer. Further model updates are needed before PREDICT can be routinely used in this patient subset.

Risk of breast cancer in daughters of agricultural workers in Denmark

ObjectivesAgricultural workers face unique occupational hazards such as pesticide exposure, which has been associated with breast cancer. However, research considering the association between parental agricultural work and breast cancer in female offspring is lacking. Therefore, the aim of the present nested case-control study was to explore this association. MethodsThe Danish Cancer Registry was utilized to identify women diagnosed with primary breast cancer. A total of 5587 cases were included in the study, and for each case, 20 cancer-free female controls were selected, matched on year of birth. It was a requisition that both cases and controls were born in Denmark and that either maternal or paternal employment history was available. ResultsAdverse associations were consistently noted for different time windows of maternal employment in “Horticulture” and breast cancer. Inverse associations were observed for paternal employment in most of the examined agricultural industries, although a small increased risk was indicated for perinatal employment in “Horticulture”.Furthermore, maternal preconceptional employment in “Horticulture” was observed to increase the risk of ER positive tumors (odds ratio [OR] = 1.79, 95% confidence interval [CI]: 1.13–2.85, whereas parental perinatal employment was linked to an elevated risk of ER negative tumors (maternal employment: OR = 2.48, 95% CI: 1.18–5.21; paternal employment: OR = 1.62, 95% CI: 0.70–3.77). ConclusionsThe present study indicates that maternal horticultural employment in different potential susceptible time windows may elevate the risk of breast cancer subtypes in daughters. These findings need to be reproduced in future prospective cohort studies, including information on e.g., pesticide exposure withing agricultural job categories and lifestyle factors.

Impact of estrogen receptor expression level on response to neoadjuvant chemotherapy and prognosis in HER2-negative breast cancers

BackgroundBreast cancers with 1–10% cell staining for estrogen receptor (ER) present particular clinical features. The clinical data of estrogen receptor expression level and treatment effect are limited, particularly regarding chemotherapy benefit. We evaluated the pathologic response to neoadjuvant chemotherapy (NAC) in ER low positive tumors (ER staining 1-10%) and compared it with ER > 10% positive tumors (ER staining > 10%) and ER-negative tumors. We further explored the differences in recurrence and survival with respect to the ER expression level.MethodPatients with stages II and III HER2-negative primary breast cancer who received neoadjuvant chemotherapy followed by definitive surgery were categorized according to their ER percentages into three groups: ER-negative, ER low positive, and ER > 10% positive. Logistic regression models were used to assess the association between each variable and pathologic complete response (pCR). Kaplan‒Meier analysis was used to estimate survival outcomes. Cox models were used to adjust for patient and tumor characteristics.ResultsA total of 241 patients were analyzed. Of all patients included, 22 (9.1%) had ER low positive tumors, 159 (66.0%) had ER > 10% positive tumors, and 60 (24.9%) were ER-negative. Low ER positivity was significantly associated with a higher pCR rate than ER > 10% positivity (OR, 0.249; 95% CI, 0.067–0.923; P = 0.038). After a median follow-up time of 32 months, the disease-free survival (DFS) and overall survival (OS) of the patients with ER low positive tumors were significantly worse than those of the patients with ER > 10% positive tumors but similar to those with ER-negative tumors. After adjustment for covariates, ER low positive tumors were significantly associated with worse DFS than ER > 10% positive tumors.ConclusionOur results indicated that ER low positive breast cancer presents a better response to neoadjuvant chemotherapy and significantly worse prognosis for patients than those with ER > 10% positive tumors, but similar to the ER-negative group. These data support that this category of patients behaves clinically like patients with ER-negative breast cancer and should be treated differently from patients with ER > 10% positive tumors. Further prospective study is needed.

ASSOCIATION OF TOLL-LIKE RECEPTOR 9 EXPRESSION WITH PROGNOSIS IN BREAST CARCINOMA

Aim:&#x0D; Breast cancer (BC) is a common malignancy in women. Some molecules including TLR9 are still under investigation as potential prognostic factors in BC. In the present study, we aimed to determine the relation between TLR9 expression and clinicopathological prognostic parameters and survival in BC.&#x0D; &#x0D; Materials and methods:&#x0D; One hundred and thirty nine patients diagnosed as BC included the present study. Immuno-reactivity scoring (IRS) system was used to reveal the tissue TLR9 expression levels.&#x0D; &#x0D; Results:&#x0D; We found higher TLR9 expression in tumors diagnosed as invasive carcinoma NOS, grade 3 tumors, tumors with necrosis, ER negative and Her2 positive tumors and tripple negative molecular subtype. Furthermore, tumors with low TLR9 scores showed increased overall survival compared to tumors with high TLR9 scores.&#x0D; &#x0D; Conclusions:&#x0D; TLR9 overexpression in BC is associated with some prognostic parameters including histologic type, tumor grade, tumor necrosis, ER and Her2 status and molecular subtype as well as overall survival. Further studies with larger patient series are needed to shed light on the use of TLR9 as a clinical and therapeutic target in BC.

The Clinical and Biological Significance of Estrogen Receptor-Low Positive Breast Cancer

Estrogen receptor (ER) status in breast cancer (BC) is determined using immunohistochemistry (IHC) with nuclear expression in ≥1% of cells defined as ER-positive. BC with 1%-9% expression (ER-low-positive), is a clinically and biologically unique subgroup. In this study, we hypothesized that ER-low-positive BC represents a heterogeneous group with a mixture of ER-positive and ER-negative tumor, which may explain their divergent clinical behavior. A large BC cohort (n = 8171) was investigated and categorized into 3 groups: ER-low-positive (1%-9%), ER-positive (≥10%), and ER-negative (<1%) where clinicopathological and outcome characteristics were compared. A subset of ER-low-positive cases was further evaluated using IHC, RNAscope, and RT-qPCR. PAM50 subtyping and ESR1 mRNA expression levels were assessed in ER-low-positive cases within The Cancer Genome Atlas data set. The reliability of image analysis software in assessment of ER expression in the ER-low-positive category was also assessed. ER-low-positive tumors constituted <2% of BC cases examined and showed significant clinicopathological similarity to ER-negative tumors. Most of these tumors were nonluminal types showing low ESR1 mRNA expression. Further validation of ER status revealed that 45% of these tumors were ER-negative with repeated IHC staining and confirmed by RNAscope and RT-qPCR. ER-low-positive tumors diagnosed on needle core biopsy were enriched with false-positive ER staining. BCs with 10% ER behaved similar to ER-positive, rather than ER-negative or low-positive BCs. Moderate concordance was found in assessment of ER-low-positive tumors, and this was not improved by image analysis. Routinely diagnosed ER-low-positive BC includes a proportion of ER-negative cases. We recommend repeat testing of BC showing 1%-9% ER expression and using a cutoff ≥10% expression to define ER positivity to help better inform treatment decisions.

FOXC1 and SOX10 in Estrogen Receptor-Low Positive/HER2-Negative Breast Cancer: Potential Biomarkers for the Basal-like Phenotype Prediction.

Breast cancer with low (1%-10%) estrogen receptor (ER) expression (ER-low positive) constitutes a small portion of invasive breast cancers, and the treatment strategy for these tumors remains debatable. To characterize the features and outcomes of ER-low positive patients, and clarify the clinical significance of FOXC1 and SOX10 expression in ER-low positive/HER2-negative tumors. Among 9082 patients diagnosed with primary invasive breast cancer, the clinicopathologic features of those with ER-low positive breast cancer were characterized. FOXC1 and SOX10 mRNA levels were analyzed in ER-low positive/HER2-negative cases from public data sets. The expression of FOXC1 and SOX10 in ER-low positive/HER2-negative tumors was evaluated by immunohistochemistry. The clinicopathologic study of ER-low positive tumors indicated more aggressive characteristics compared with those tumors with ER >10%, while they had more overlapping features with ER-negative tumors irrespective of the HER2 status. The intrinsic molecular subtype of ER-low positive cases with high FOXC1 and SOX10 mRNA expression was more likely to be nonluminal. Among the ER-low positive/HER2-negative tumors, 56.67% (51 of 90) and 36.67% (33 of 90) were positive for FOXC1 and SOX10, respectively, which was significantly positively correlated with CK5/6 expression. In addition, the survival analysis demonstrated no significant difference between patients who received and who did not receive endocrine therapy. ER-low positive breast cancers biologically overlap more with ER-negative tumors. ER-low positive/HER2-negative cases demonstrate a high rate of FOXC1 or SOX10 expression, and these cases might be better categorized as a basal-like phenotype/subtype. FOXC1 and SOX10 testing may be used for the intrinsic phenotype prediction for ER-low positive/HER2-negative patients.

Sử dụng dấu ấn miễn dịch trong việc định typ ung thư biểu mô tuyến vú

Breast cancer, a prevalent form of cancer in women, presents various categories that pose challenges in defining specific treatment approaches. Immunohistochemistry, a combination of immunology and histology, has made significant advancements in identifying specific surface receptors on cancer cells. This information serves as the basis for guiding appropriate treatment regimens and predicting prognosis for patients. A survey conducted on 75 tissue samples revealed the diversity of breast carcinoma types, with the infiltrative tubular form being the most common, accounting for 73.3% of cases. By utilizing immunoassay markers on these tissues, the expression rates of ER (estrogen receptor), PR (progesterone receptor), and Her2/neu were determined to be 29.2%, 52%, and 22.7%, respectively. Classification of breast cancer based on these markers showed that the ER/PR+HER2- group accounted for 24% of cases. The ER-/PR+HER2- group accounted for 18.7%, while the ER+/PR+HER2+, ER-/PR+HER2+, and ER-PR+Her2+ groups each represented 12% of cases. The ER-/PRHER2+HER2+ group accounted for 8%, and a subgroup where all three markers were negative accounted for 22.7% of cases. Estrogen and progesterone expression showed a moderately positive correlation (0 &lt; r = 0.445 &lt; 0.5; p &lt;0.05). However, the expression of Her2/neu in ER-negative tumors did not show statistical significance (p &gt; 0.05) and exhibited a reverse correlation with r = -0.016.

Prostate-specific membrane antigen (PSMA) expression in patients with metastatic triple negative breast cancer: Initial results of the PRISMA study.

1025 Background: Radioligand therapy (RLT) targeting prostate-specific membrane antigen (PSMA) prolongs survival of patients (pts) with prostate cancer. Preliminary immunohistochemistry (IHC)-based studies suggest that PSMA is highly expressed in triple negative breast cancer (TNBC). The PRISMA study aims to assess PSMA expression in pts with metastatic TNBC (mTNBC) via positron-emission tomography/computed tomography (PET/CT) to evaluate the feasibility of PSMA-targeted RLT for TNBC. Methods: PRISMA is a prospective, single-center study that enrolled pts with progressive mTNBC and measurable disease on 18F-FDG PET/CT to undergo 68Ga-PSMA-11 PET/CT. TNBC definition (ASCO/CAP) was based on the IHC of the primary breast cancer (BC) or metastasis. Target lesions (TL) were defined as metastatic lesions ≥1.5 cm with significant uptake in 18FDG-PET/CT. The same TL regions were propagated to the 68Ga-PSMA-PET/CT. 68Ga-PSMA-11 maximum standard uptake value (SUVmax) was measured for each TL. PSMA patterns A and B were defined according to presence of a majority (pattern A) or a minority (pattern B) of positive TL on 68Ga-PSMA (ie. uptake greater than that of normal liver parenchyma). Mann-Whitney U test was used to assess differences in median SUVmax (mSUVmax) between subgroups. Results: Ten pts with progressive mTNBC were enrolled. One pt was excluded due to lack of TL on 18FDG-PET/CT. Median age was 48 years (range 36-68), median number of TL per patient was 8 (5-18). Five pts had a TNBC IHC since the initial BC diagnosis, while 4 had a switch to TNBC (4 with initial estrogen receptor [ER]-positive and 1 with HER2-positive BC). All evaluable pts had inter- and intra-organ heterogeneity in PSMA uptake in TL and 2 pts had some mismatch with FDG-positive and PSMA-negative TL. mSUVmax was 2.99 (range 1.7-6.3) in the overall population and was higher in pts with pattern A (5.1 vs 2.6 in patterns A and B, respectively, p = 0.03). mSUVmax was numerically higher in younger pts (5.0 vs 2.6 in pts &lt;50y and ≥50y, p = 0.28), PD-L1-positive (5.0 vs 2.7 in PD-L1-positive and -negative, p = 0.14), de novo metastatic disease (5.0 vs 2.9 in de novo and recurrent BC, p = 0.38) and those with ER-negative primary breast tumor (3.4 vs 3.0 in ER-negative and ER-positive primary BC, p = 0.9). Conclusions: A significant PSMA uptake was observed in a proportion of pts with mTNBC. Inclusion of additional pts and translational analyses will allow the identification of PSMA expression determinants. PSMA-targeted RLT may be considered as an innovative therapeutic strategy to be explored in selected pts with mTNBC. [Table: see text]

Systemic Therapy in Elderly Patients With Her2/Neu-Positive Breast Cancer: A SEER Database Study.

The use of systemic therapy in elderly patients with Her2/neu-positive breast cancers has been questioned given the potential for cardiac side effects with several of the agents frequently used. This study aimed to evaluate trends in use of systemic therapy in patients 70years and older. The 2010-2016 SEER database was used to collect data on female patients with non-metastatic Her2/neu-positive breast cancer. Data was stratified to compare systemic therapy use in patients <70 vs ≥70. A total of 62,014 patients were included in the study. Of those, 79.0% (38,760) of patients <70years old received systemic therapy while only 45.2% (5844) of patients ≥70 received systemic therapy (P < .001). Of patients ≥70 with ER positive tumors, 42.1% received systemic therapy and those with ER negative tumors, 52.1% received systemic therapy. The mortality rate in patients ≥70 was 8.5% in those who received systemic therapy and 12.1% in those who did not (P < .001). There remains a significant difference in rates of systemic therapy administration in the elderly population with an associated increase in mortality due to their cancer. Continuing educational efforts could be of benefit.