Histological Subtype Of Breast Cancer Research Articles

Abstract PO3-08-05: Prognostic value of multigene test to the patients with Hormone receptor-positive, HER2-negative breast cancer based on special histologic subtypes

Abstract Background: Special histologic subtypes of breast cancer, including mucinous and tubular, account for 25% of all invasive breast cancers. Multigene tests (MGT) play a crucial role in guiding adjuvant chemotherapy and predicting prognosis for the patients with Hormone receptor-positive HER2-negative breast cancer. This research aims to examine the results of multigene tests for special histologic subtype patients and review the prognosis of each group. Methods: A retrospective analysis was conducted on data from 133 patients with special histologic subtypes of breast cancer who underwent surgery at Severance Hospital between November 2013 and December 2022. Each patient underwent one type of MGT, including Oncotype Dx, MammaPrint, or EndoPredict. Patients were grouped in two groups according to histologic types, based on WHO classification. Favorable types consist of type A mucinous carcinoma, pure tubular carcinoma, invasive solid papillary carcinoma, encapsulated papillary carcinoma with invasion, invasive cribriform carcinoma, secretory carcinoma, and invasive carcinoma with apocrine differentiation. Unfavorable types included type B mucinous carcinoma, mucinous carcinoma with micropapillary feature or neuroendocrine differentiation, mixed IDC, ILC or invasive micropapillary carcinoma, mixed invasive solid papillary carcinoma, mixed invasive papillary carcinoma, and mixed invasive cribriform carcinoma with IDC. Results: Patients with favorable types accounted for 42.86% (57 patients), while patients with unfavorable types accounted for 57.14% (76 patients). Patients with unfavorable histologic subtypes of breast cancer tended to have a higher incidence of high-risk results in MGT, as well as a greater prevalence of multiple (multifocal, multicentric) cancer and higher histologic grade. In multivariate analysis using logistic regression, unfavorable types showed a significantly high ratio of having high risk on MGT compared to the favorable type (OR = 4.327, 95% CI 1.210 – 15.475, p-value = 0.024). Moreover, overall survival in unfavorable histologic types showed a statistically significant difference between high-risk and low-risk in Kaplan-Meier survival analysis (p-value = 0.001). Conclusions: Unfavorable subtypes have shown a significantly higher-risk result of MGT, and patients with unfavorable types of breast cancer and high-risk MGT results have exhibited the worst prognosis. Consequently, we can suggest that MGT can be used as a prognosis evaluation tool for certain special subtypes of breast cancer and further utilized to aid in treatment decisions. Citation Format: Seung Hye Yang, Jee Hyun Ahn, Suk Jun Lee, Jee Ye Kim, Hyung Seok Park, Seung Il Kim, Byeong Woo Park, Seho Park. Prognostic value of multigene test to the patients with Hormone receptor-positive, HER2-negative breast cancer based on special histologic subtypes [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-08-05.

Abstract PO2-27-08: Discovery of glucocorticoid receptor-induced EMT and integrin gene expression and increased cell motility in invasive lobular breast cancer

Abstract Estrogen receptor (ER)-positive, invasive lobular carcinoma (ILC) is the second most common histological subtype of breast cancer. Although the five-year stage-matched survival is improved compared to infiltrating ductal carcinoma (IDC), ILC late metastatic recurrences ( >5 years) are more frequent. Understanding the molecular mechanisms of lobular breast cancer’s significantly dormant yet ultimately metastatic phenotype is important to improve clinical outcomes. Our laboratory had previously shown that GR activation in ER+ IDC was associated with decreased cell proliferation, but little is known about GR activity in ER+ ILC. By examining gene expression following GR activation in metastases-derived ER+/GR+ human ILC cell lines, we recently uncovered that GR-activation increases EMT and integrin pathways. Here we show for the first time that in addition to activation of these gene expression pathways, GR activation increases ILC cellular migration in microchannels coated with collagen and fibronectin, consistent with a potential for GR activation to increase ILC metastases. We examined GR expression and activation in SUM44 GR+/GR-, and BCK4 GR+/GR- and MM134 GR+ cell lines and will present data comparing gene GR- mediated expression in the presence of cortisol and clinically relevant GR modulation. Ongoing investigations also include in vivo MIND modeling with GR modulation. Citation Format: Baylee Porter, Candace Frerich, Muriel Laine, Sunati Sahoo, Geoffrey Greene, Jeon Lee, Lynda Bennett, Suzanne Conzen. Discovery of glucocorticoid receptor-induced EMT and integrin gene expression and increased cell motility in invasive lobular breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-27-08.

Abstract PO4-14-12: Predicting Response to HER2 Tyrosine Kinase Inhibitors and Antibody Drug Conjugates in HER2 Mutant Invasive Lobular Carcinoma Using CRISPR/Cas9 Knock-in Cell lines and Patient-derived Organoids

Abstract Background: Activating mutations in ERBB2 (HER2) are enriched >4-fold in invasive lobular carcinoma (ILC) with a rate of up to 19% in metastatic ILC. ILC is a histologic subtype of breast cancer characterized by loss of E-cadherin (CDH1), suggesting a potential interaction between loss of CDH1 and mutations in ERBB2. Recent trials have demonstrated promising single agent efficacy using the irreversible pan-HER tyrosine kinase inhibitor (TKI), neratinib, in patients with metastatic ERBB2 mutant ILC. However, further studies on combination therapies with other anticancer agents are needed to increase response rate and progression free survival for these patients. HER2-targeted antibody drug conjugates (ADC), particularly trastuzumab deruxtecan (T-DXd), have shown great promise in HER2-low metastatic breast cancer. Yet, their efficacy as a single agent or with HER2 TKIs in HER2-low and -mutant ILC is unknown and warrants investigation. Methods: Past studies analyzing ERBB2 mutations used overexpression of ERBB2 mutant cDNA, but this approach does not faithfully recapitulate the human disease. To model ERBB2 missense mutations as found in human breast cancers, we used CRISPR-based prime editing to generate a panel of isogenic ILC cell lines and patient-derived organoids (PDO) harboring ERBB2 wild-type (WT) or ERBB2 mutations (S310F or V777L). Both of these ERBB2 mutations have been previously characterized and are known to be activating mutations. We then used them to test neratinib and other TKIs with ADCs, including T-DXd and trastuzumab emtansine (T-DM1). Results: We successfully introduced single copy, heterozygous activating ERBB2 mutations (S310F or V777L) into two ERBB2-nonamplified metastatic ILC cell lines (MDA-MB-134 and SUM44PE) and one ERBB2-nonamplified metastatic ILC PDO (IPM-BO-053). Positive clones carrying the mutations were verified by Sanger sequencing and droplet digital PCR and subsequently pooled together. We further demonstrated that these mutations hyperactivated HER2 and downstream signaling pathways. ILC cell lines harboring these mutations showed enhanced sensitivity to HER2 TKIs but not ADCs. In contrary, ERBB2 mutations did not alter responses of IPM-BO-053 PDOs to HER2 TKIs but significantly increased responses to ADCs. Interestingly, we also observed accelerated HER2 protein degradation upon heregulin stimulation in ERBB2 mutant ILC PDOs, suggesting activating ERBB2 mutations may enhance ADC/HER2 complex internalization, degradation, and release of payloads. Lastly, we explored drug synergy between HER2 TKIs and ADCs in isogenic IPM-BO-053 PDOs and found that combination of T-DXd and neratinib or afatinib showed synergy (Combination Index < 1). Conclusions: Although the reason for the discrepancies in drug response between ILC cell lines and PDOs is not clear, we hypothesize that response in 3D PDOs might be more faithfully representing response seen in patients. We will generate additional ILC PDOs with knock-in ERBB2 mutations to validate our findings. Irreversible HER2 TKIs, such as neratinib and afatinib, showed synergy with T-DXd in ERBB2 mutant ILC PDOs. This holds important therapeutic implications in light of current treatment options for ILC. In future experiments, we will test if neratinib or afatinib increases endocytic uptake of T-DXd using a fluorescently labeled endocytosis tracker. Further, an in-depth molecular characterization of our isogenic cell lines and PDOs models is ongoing to gain mechanistic insights into how activating ERBB2 mutations increase HER2 internalization and degradation. Our in vitro studies provide a strong foundation for in vivo testing of neratinib or afatinib with T-DXd for ERBB2 mutant ILC. Citation Format: Jie Bin Liu, Danielle Tseng, Jagmohan Hooda, Daniel Brown, Adrian Lee, Steffi Oesterreich. Predicting Response to HER2 Tyrosine Kinase Inhibitors and Antibody Drug Conjugates in HER2 Mutant Invasive Lobular Carcinoma Using CRISPR/Cas9 Knock-in Cell lines and Patient-derived Organoids [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-14-12.

Abstract PO5-02-13: Distinct differences in the prognostic implication of tumor size for invasive lobular carcinoma of breast when compared to invasive ductal carcinoma

Abstract Purpose Invasive lobular carcinoma (ILC) is the second common types of breast cancer and its clinicopathological feature and outcomes differ from invasive ductal carcinoma (IDC). However, in terms of survival outcomes, there are conflicting data on the prognostic implication of the ILC when compared to that of IDC. This study aims to evaluate the survival outcomes of patients diagnosed with ILC at single center and compared them with those of IDC. Methods We reviewed the data of the 13,034 IDC patients and 935 ILC patients who were treated between January 2005 and December 2022 at Seoul National University Hospital. We investigated the overall treatment outcomes of two histologic types with a special focus on the tumor size and lymph nodes. Result ILC exhibited distinct characteristics compared to IDC, including a larger tumor size (2.6 ± 1.8 vs. 1.9 ± 1.1 cm, p < 0.001) and a higher hormone receptor positivity (97.4% vs. 79.3%, p < 0.001). Additionally, the presence of lymphovascular emboli was lower in ILC (8.0% vs. 24.6%, p < 0.001). While IDC patients showed slightly better overall survival (OS) than ILC (10-year OS, ILC 89.9% vs. IDC 91.1%, the difference was not statistically significant (p = 0.85). However, distant metastasis-free survival (DMFS) was significantly higher in ILC (10-year DMFS, ILC 93.2% vs. IDC 89.9%, p = 0.001). Age at diagnosis, tumor size, presence of lymphovascular emboli, high expression of Ki-67, and higher pathologic N stage were poor prognostic markers for ILC. Multivariate analysis for DMFS showed that age, high expression of Ki-67 and higher pathologic N stage were poor prognostic markers for ILC. Tumor size was not an independent prognostic factor for DMFS (HR: 0.92, 95% CI: 0.72-1.17, p = 0.491) and for OS (HR: 1.18, 95% CI: 0.99-1.41, p = 0.060) in ILC. Conclusion Our data suggest that the tumor size, which is a well-known prognostic factor in IDC, carries distinctly different prognostic implication in ILC. These observation indicate that adjuvant treatment decisions based on tumor size can be tailored to different histologic subtypes of breast cancer. Citation Format: Ik Beom Shin, Eunhye Kang, Ji-Jung Jung, Hawjeong Lee, Jin Young Byeon, Yunhee Choi, Changjin Lim, Jong-Ho Cheun, Hong-Kyu Kim, Han-Byoel Lee, Wonshik Han, Hyeong-Gon Moon. Distinct differences in the prognostic implication of tumor size for invasive lobular carcinoma of breast when compared to invasive ductal carcinoma [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-02-13.

Abstract GS03-04: Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics

Abstract Background: Invasive lobular carcinoma (ILC) of the breast is the second most common histologic subtype of breast cancer (BC), following invasive ductal carcinoma of no special type (IDC-NST). The hallmark histologic feature of ILC is cellular discohesiveness, the result of bi-allelic inactivation of CDH1, and represents an important genotypic-phenotypic correlation in BC. Although most ILCs harbor CDH1 loss-of function mutations associated to loss-of-heterozygosity (LOH) of the wild type-allele, a subset of ILCs lack these alterations despite displaying a typical lobular phenotype. Here, we sought to identify alternative molecular mechanisms converging on CDH1 inactivation by employing an integrative artificial intelligence (AI) and genomics approach. Materials and Methods: A genomics-driven AI-based algorithm using hematoxylin and eosin (H&E) whole slide images (WSIs) as input, previously developed to detect bi-allelic CDH1 mutations (inactivating mutation associated to LOH) in BC was employed. WSIs of 1,057 BCs including ILCs (n=187) and non-lobular BCs (n=870) previously subjected to FDA-cleared tumor/normal targeted sequencing were subjected to analysis with the AI-based algorithm. Cases predicted to harbor CDH1 bi-allelic mutations by the AI-model but lacking CDH1 bi-allelic mutations by targeted sequencing were assessed through targeted sequencing data re-analysis, CDH1 gene promoter methylation evaluation and/or whole genome sequencing analysis. Results: AI-based analysis WSIs corresponding to 1,057 BCs resulted in the identification of 34 cases found to lack CDH1 bi-allelic mutations by targeted sequencing but predicted to harbor these genetic alterations by the AI-based model. CDH1 gene promoter methylation assessment revealed CDH1 promoter methylation in 18 cases. Targeted sequencing data reanalysis revealed other genetic mechanisms of CDH1 inactivation including CDH1 homozygous deletions (n=3), intragenic deletion with LOH (n=1), and likely pathogenic non-coding CDH1 alterations associated with LOH (n=2). WGS analysis of an ILC revealed a novel deleterious CDH1 fusion stemming from translocation t(13;16), resulting in loss of the 5’UTR, transcription start site and exons 1 and 2 of CDH1, associated with complete loss of E-cadherin protein expression. Taken together, we identified alternative/novel mechanisms of bi-allelic CDH1inactivation in 74% (25/34) cases analyzed. Conclusions: By applying an AI-based algorithm trained to detect a genetic alteration (i.e., CDH1 bi-allelic mutations), we were able to identify alternative epigenetic and genetic molecular mechanisms of CDH1 inactivation in ILCs, including novel non-coding CDH1 genetic alterations and a new inactivating CDH1 fusion gene. These findings indicate that molecular mechanisms affecting a single gene or process converging on the same phenotype can be unveiled by the integration of AI and genomics, highlighting the robustness of this approach for the discovery of novel biology. Citation Format: Fresia Pareja, Higinio Dopeso, Yikan Wang, Andrea Gazzo, David Brown, Pier Selenica, Jan Bernhard, Fatemeh Derakhshan, Edaise M. da Silva, Lorraine Colon-Cartagena, Thais Basili, Antonio Marra, Jillian Sue, Qiqi Ye, Arnaud Da Cruz Paula, Selma Yeni, Xin Pei, Hunter Green, Kaitlyn Gill, Yingjie Zhu, Matthew Lee, Ran Godrich, Adam Casson, Britta Weigelt, Nadeem Riaz, Hanna Y Wen, Edi Brogi, Matthew Hanna, Diana Mandelker, Jeremy Kunz, Brandon Rothrock, Sarat Chandarlapaty, Christopher Kanan, Gerard Oakley III, David Klimstra, Thomas Fuchs, Jorge Reis-Filho. Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr GS03-04.

Abstract PO3-05-05: The effect of histological breast cancer subtype on progression free survival in patients with CDK4/6 inhibitors

Abstract Background: Multiple trials have proven that adding CDK4/6 inhibitors to endocrine treatment increases progression free (PFS) and overall survival (OS) of patients with metastatic estrogen receptor (ER)-positive HER2 negative breast cancer. However, only limited evidence is available of treatment efficacy of CDK4/6 inhibitors for invasive lobular carcinoma (ILC). This retrospective study aims to compare treatment duration of the three FDA/EMA approved CDK4/6 inhibitors in patients with no special type (NST) breast cancer versus patients with ILC. Methods: All patients with metastatic ER-positive HER2-negative breast cancer who were treated with a CDK4/6 inhibitor (1st, 2nd; 3rd line) in University Hospitals Leuven between December 2014 and February 2023, were included. A comparison of PFS and OS was made between patients with NST and ILC by use of the Kaplan Meier method. Other histological subtypes as well as mixed subtypes were excluded. Uni- and multivariable cox regression models were performed to quantify the association of histological subtype with PFS and OS. Results: A total of 418 patients were included of which 119 (28.5%) patients with ILC (median age at primary diagnosis 59 years, range 36 – 89 years) and 299 (71.5%) patients with NST (median age at primary diagnosis 55 years, range 23 – 90 years). Median follow-up was 26.8 months (range 1.1 – 88.1 months). Median PFS was 15.2 months (range 1.0 – 74.6 months) and 14.7 months (range 1.0 – 89.3 months) for patients with ILC and NST respectively. The OS rate after 60 months follow up was 39.2 % (CI 26.8 – 51.4) for ILC and 40.1% (CI 32.2 – 47.8) for NST. As shown in table 1, clear differences were observed in PFS rates after 12, 24 and 60 months between patients with NST that received CDK4/6 inhibitors in first line versus second or third line. These differences were less apparent for patients with ILC. For both NST and ILC, endocrine resistance at start of CDK4/6 inhibition impacted PFS rates negatively (table 2). In multivariable analyses, histological subtype was not predictive for CDK4/6 inhibition outcome (PFS: hazard ratio (HR) 0.996, CI 0.728 – 1.364, p-value 0.981; OS: HR 0.872, CI 0.602 – 1.263, p-value 0.468). Endocrine sensitivity vs. resistance at the time CDK4/6 inhibitor was started, was proven to be predictive for both PFS (HR 0.478, CI 0.337 – 0.678, p-value < 0.001) and OS (HR 0.528, CI 0.347 – 0.804, p-value 0.003). Conclusion: In our center, the histological subtype of breast cancer did not seem to impact PFS and OS significantly after treatment with CDK4/6 inhibition. Patients with NST seemed to have an increased benefit in PFS from treatment with CDK4/6 inhibition in first line as compared to later lines. While for patients with ILC, no difference between treatment lines were observed. Therefore, clinicians might be able to safely postpone CDK4/6 inhibitors to second- or third-line treatment in patients with metastatic ILC. Table 1: PFS rates by histological subtype and line of CDK4/6 treatment Table 2: PFS rates by histological subtype and endocrine sensitivity at start of CDK4/6 inhibition Citation Format: Cedric Bauters, Karen Van Baelen, Hans Wildiers, Giuseppe Floris, Sileny Han, Patrick Berteloot, Thaïs Baert, Ann Smeets, Ines Nevelsteen, Yannick Van Herck, Anne Deblander, Chantal Remmerie, Lieke Dullens, Maxime Van Houdt, Annouschka Laenen, Christine Desmedt, Patrick Neven. The effect of histological breast cancer subtype on progression free survival in patients with CDK4/6 inhibitors [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-05-05.

Abstract PO3-15-09: LobSig4 is a superior and readily implementable ILC-focussed prognostic biomarker set

Abstract Invasive Lobular Carcinoma (ILC) is the most common special histological subtype of breast cancer. ILC typically present as Oestrogen and Progesterone Receptor positive cancers, without over-expression of HER2 and are defined by their invasive pattern of growth. Despite clinical and biological differences, including diverse sites of metastasis, ILC are managed in the same way as the more commonly diagnosed, Invasive Carcinomas of no special type. Previously, we derived the LobSig lobular specific gene signature in an attempt to prognosticate within an otherwise homogeneous tumour category. We showed that this set of genes could stratify Grade 2 and Nottingham Prognostic Index moderate tumours into high and low risk groups. Herein, we use a nanoString nCounter custom codeset and immunohistochemistry to validate the LobSig signature. Using a CoxBoost analysis we further refined the geneset to 14 genes of interest which we examined using Immunohistochemistry on a large panel of ILC with clinical follow up data. Four targets showed a significant association with breast cancer specific survival, with high levels correlating with the poorest outcomes. Considering the expression data for these 4 candidates together, we performed a Cox Proportional Hazard Regression resulting in a combined prognostic power of (P=0.00034, HR=8.07 (CI 2.58-25.30)), which has superior prognostic power over variables including tumor size and patient age. ‘LobSig4’ represents a readily implementable and informative biomarker set for prognostication in Invasive Lobular Carcinoma. Citation Format: Lauren Kalinowski, Jamie Kutasovic, Sriganesh Srihari, Yufan Feng, Samir Lal, Kaltin Ferguson, Haarika Chittoory, Anna Sokolova, Malcolm Lim, Priyakshi Kalita De Croft, Sunil Lakhani, Peter Simpson, Amy McCart Reed. LobSig4 is a superior and readily implementable ILC-focussed prognostic biomarker set [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-15-09.

Abstract PO4-02-03: Distribution of MammaPrint, BluePrint, and Response Predictive Subtypes based on ImPrint and Reprint in ER+/HER2- Invasive Lobular Carcinoma – A FLEX sub study

Abstract Background: Invasive lobular carcinoma (ILC), the second most common histologic subtype of breast cancer, is increasingly recognized as a distinct tumor type compared to the more common invasive ductal carcinoma (IDC). While ILC is known to have lower rates of pathologic complete response to neoadjuvant chemotherapy, ILC tumors are biologically heterogenous. As such, genomic signatures might identify patients with ILC who might benefit from tailored treatment options. The gene expression signature MammaPrint (MP) classifies tumors as having a Low Risk or High Risk of distant recurrence. MP combined with BluePrint (BP), a molecular subtyping signature, categorizes tumors as Luminal A (MP Low Risk), Luminal B (MP High Risk), Basal or HER-2 type. ImPrint is a 53-gene signature that identifies HR+HER2- patients predicted to benefit from immune checkpoint inhibitors. RePrint is a 60-gene DNA repair deficiency (DRD) signature that identifies HR+HER2- patients who may benefit from PARP inhibitors with platinum agents. Response Predictive Subtypes (RPS), used in the I-SPY2 trial, combine clinical subtype and these genomic signatures to personalize treatment planning and improve outcomes. In this study, we determined the distribution of 3 RPS in HR+HER2-: (1) ImPrint-/RePrint-, (2) ImPrint-/RePrint+ (3) ImPrint+, in patients ILC compared to IDC enrolled in the FLEX trial. Methods: This study includes 1078 HR+HER2-women with ILC and 6078 with IDC enrolled in FLEX registry. FLEX (NCT03053193) is a prospective, observational trial that includes stage I-III breast cancer patients who undergo MammaPrint testing (with or without BluePrint) as standard of care, and consent to full transcriptome and clinical data collection. MP High Risk tumors were further stratified into High 1 and High 2. ImPrint and Reprint results were used to determine RPS. A two-tailed proportional z-test was used to assess differences between ILC and IDC as well as between RPS. Results: ILC patients had a significantly lower percentage of MP High Risk tumors in comparison to IDC. Among MP High Risk tumors, those with ILC had significantly more MP High 1 than patients with IDC. BP subtyping in ILC tumors showed significantly lower percentage of Basal, and Luminal B, and higher percentage of Luminal A compared to IDC tumors. For RPS, a higher percentage of ILC tumors were ImPrint-/RePrint- compared to IDC, whereas lower frequencies of ImPrint-/RePrint+ and ImPrint+ were found. Within the ILC ImPrint+ subgroup (n=14), 1 (7.1%) was classified as High 2 and 10 (71.4%) as High 1 and 3 (21.4%) as Low Risk. All 14 (100%) ImPrint+ patients were BP Luminal. In contrast, within the IDC MP High Risk ImPrint+ subgroup (n=328), 233 (71.0%) were High 2, 88 (26.8%) High 1 and 7 Low Risk (2.1%). Furthermore 193 (60.7%) were classified as BP Basal, 2 HER2 (0.6%) and 123 (38.7%) Luminal within this IDC RPS. Conclusions: This is the first study to investigate the distribution of Response Predictive Subtypes in ILC, which will be beneficial to optimize the treatment selection for patients with early-stage HR+/HER2- ILC. Though the percentage of ImPrint+ is lower in ILC, this study revealed a small subset of patients in ILC with potential response to Immunotherapy. Furthermore, these results underscore the heterogeneity of ILC tumors and generate further hypotheses to investigate the immune cell abundance in ILC compared to IDC and correlate immune cell abundance to ImPrint status. Table: Genomic and Tumor Characteristics of HR+HER2- ILC and IDC tumors Citation Format: Rita Mukhtar, Christina Yau, Denise Wolf, Adam Brufsky, Hannah Linden, Natasha Hunter, Reshma Mahtani, Abirami Sivapiragasam, Trevor Feinstein, Fengting Yan, Ian Grady, Priscilla McAuliffe, Michaela Tsai, Joyce O'Shaughnessy, Blanche Mavromatis, Sasha Davis, Josien Haan, William Audeh, Lavanya Samraj, FLEX Investigators' Group. Distribution of MammaPrint, BluePrint, and Response Predictive Subtypes based on ImPrint and Reprint in ER+/HER2- Invasive Lobular Carcinoma – A FLEX sub study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-02-03.

Abstract PO1-15-03: Spatially resolved analysis of tumor microenvironment in invasive lobular carcinoma

Abstract Background: Invasive lobular carcinoma (ILC) is the second most common histological breast cancer subtype; however, little is known about its tumor microenvironment (TME). Here, we aimed to study ILC TME using spatial transcriptomics (ST). Methods: We performed ST (Visium 10x Genomics) on frozen tumor samples from 43 primary hormone receptor positive (HR+), HER2-negative (HER2-) ILCs. Of note, 9 samples were coming from patients who experienced disease relapse. Relative hematoxylin/eosin (H&E) slides were morphologically annotated (QuPath software). xCell was used to perform cell type enrichment analysis on sample pseudo-bulks. After cross-samples integration, ST spots were clustered using hierarchical clustering (STutility R package). intNMF algorithm was used to perform clustering at the patient-level by combining: RNA sequencing information (relative percentage of spot-level clusters in each sample), morphology and level of colocalization between cancer cells and the other cell types of the tumor microenvironment. METABRIC (HR+, HER2- ILC samples, n = 122) was used as external validation cohort. Survival analyses (univariable and multivariable adjusting for clinicopathological features) were performed using Cox proportional hazard models. Results: The patient-level classification revealed four groups showing different biological characteristics. Differences in terms of morphology (annotation) and pathway enrichment analysis based on marker genes (GSEA) were observed between groups. This information allowed us to annotate our groups as: proliferative (P, n = 12, enriched in tumor cells and proliferation-related pathways), normal-stroma enriched (NSE, n = 10, enriched in fibroblasts and carcinoma in situ), metabolic (M, n = 9, enriched in metabolic-related pathways) and metabolic-immune enriched (MIE, n = 10, enriched in adipose tissue, metabolic and immune-related pathways). Interestingly, a significantly higher presence of macrophages M2 was found in MIE group. Using group-specific gene signatures, we were able to reproduce the same 4 groups in the METABRIC. Of note, we observed significant differences in relapse-free survival (RFS) in METABRIC (p = 0.03), with NSE presenting better outcome, while P, M and MIE presented worse prognosis. Analysing the area of contact between adipocytes and cancer cells typical of MIE group, we noticed an enrichment in metabolic and M2 macrophages-related pathways. In doing so, we derived a 28 gene signature relative to the tumor-adipocytes contact area. Importantly, our signature was highly expressed in M and MIE groups, and it was not correlated with proliferation-related signatures. Interestingly, the adipocytes-related signature was significantly associated with shorter RFS in ILC patients in METABRIC (univariable: HR 1.4, p = 0.023; multivariable: HR 1.6, p = 0.005). Since both proliferation and metabolism showed to be key processes in defining prognosis in ILC, we built a prognostic index by integrating our adipocytes-related signature with genomic grade index (GGI, a proliferation-related signature). Our index outperformed other existing prognostic signatures (e.g., Oncotype DX, MammaPrint, EndoPredict, LobSig) in assessing prognosis (RFS) in ILC in METABRIC (univariable: HR 1.7, p < 0.001; multivariable: HR 1.7, p = 0.002). Conclusions: We identified 4 biologically driven HR+, HER2- ILC groups describing tumor microenvironment heterogeneity. Of note, two of the three groups associated to worse disease outcome were related to metabolism, highlighting the importance of such process in ILC biology and in the future development of new treatment strategies. Moreover, the prognostic power of our index has the potential to refine the assessment of the risk of relapse in ILC. Further validation is warranted. Citation Format: Matteo Serra, Mattia Rediti, Laetitia Collet, Frédéric Lifrange, David Venet, Nicola Occelli, Xiaoxiao Wang, Delphine Vincent, Ghizlane Rouas, Ligia Craciun, Denis Larsimont, Laurence Buisseret, Miikka Vikkula, François Duhoux, Françoise Rothé, Christos Sotiriou. Spatially resolved analysis of tumor microenvironment in invasive lobular carcinoma [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-15-03.

Comparison of long-term outcome between clinically high risk lobular versus ductal breast cancer: a propensity score matched study

Abemaciclib is currently approved for the adjuvant treatment of high-risk, lymph node (LN)-positive, hormone receptor (HR)-positive breast cancer (BC). In a real-world setting the clinicopathologic features of patients potentially eligible for adjuvant abemaciclib remain to be defined. There are conflicting data regarding the biological behavior and long-term outcomes across invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC). In our study we retrospectively assessed the real-world data and long-term outcome of selected high-risk features ILC compared to IDC, according to the MonarchE trial inclusion criteria. We identified 15,071 patients who got surgery at the European Institute of Oncology for a first primary, non-metastatic, HR-positive, HER2-negative BC from 2000 to 2008. 11,981 (79.5%) patients had an IDC and 1524 (10.1%) an ILC. The remaining 1566 patients (10.4%) had either combined ductal and lobular breast cancer or another histological breast cancer subtype. According to the eligibility criteria of the MonarchE study, we identified two high-risk groups, based on high number of positive lymph nodes, large tumor size, or a high cellular proliferation as measured by tumor grade or biomarkers. Patients were matched by propensity score. A total of 2872 (21.3%) patients were selected as clinically high-risk, including 361/1524 ILC (23.7%) and 2511/11,981 IDC (21%). 322 high-risk ILC were matched with similar high-risk IDC. The median follow-up was 13.2 years for survival. In the matched set, invasive disease-free survival (IDFS) (log-rank P=0.09) and overall survival (OS) (log-rank P=0.48) were not statistically significantly different between the two histological groups. For IDC patients, the 5-year and 10-year IDFS rates (95% CI) were 77.7% (72.9-82.2) and 57.3% (51.7-63.1) respectively, compared to the 5-year and 10-year IDFS rates of ILC patients that were 75.5% (70.6-80.2) and 50.7% (45.0-56.6). The 5-year and 10-year distant relapse free survival (DRFS) rates were 80% (75.3-84.2) and65.3% (59.8-70.7) in IDC cohort, compared to the 5-year and the 10-year DRFS rates of 78.7% (74.0-83.1) and 61.5% (55.9-67.1) in the ILC cohort. Such data match the recent outcomes efficacy results of the MonarchE control arm. More patients in the ILC (n=17) than in the IDC group (n=10) developed axillary recurrence. At multivariable analysis, stratified for specific clinical features, age <35 years, pT2-3, axillary involvement with more than 10 positive axillary nodes were found to be predictors of unfavorable IDFS and OS in the overall matched high-risk population. Findings from this matched cohort study reported similar IDFS and DRFS rates for high risk HR positive early BC when compared to the control arm overall IDFS and DRFS rates reported from the MonarchE trial. Our study demonstrated rates of concordant long-term outcome status beyond histologic subtype. These data support an escalation strategy for these two different histological entities when diagnosed with high-risk features. In our dataset approximately 21% rate of high-risk HR positive early BC patients are potentially eligible for adjuvant abemaciclib treatment. Umberto VeronesiFoundation.

Rapid autopsies to enhance metastatic research: the UPTIDER post-mortem tissue donation program

Research on metastatic cancer has been hampered by limited sample availability. Here we present the breast cancer post-mortem tissue donation program UPTIDER and show how it enabled sampling of a median of 31 (range: 5-90) metastases and 5-8 liquids per patient from its first 20 patients. In a dedicated experiment, we show the mild impact of increasing time after death on RNA quality, transcriptional profiles and immunohistochemical staining in tumor tissue samples. We show that this impact can be counteracted by organ cooling. We successfully generated ex vivo models from tissue and liquid biopsies from distinct histological subtypes of breast cancer. We anticipate these and future findings of UPTIDER to elucidate mechanisms of disease progression and treatment resistance and to provide tools for the exploration of precision medicine strategies in the metastatic setting.

Cytomorphological features of sebaceous carcinoma of the breast.

Sebaceous carcinoma of the breast is an extremely rare histological subtype of breast cancer, with fewer than 30 cases reported to date. Because of its extremely rare histological presentation, there are few case reports that highlight its cytological findings. In this case report, the cytomorphological features of a sebaceous carcinoma of the breast are described in detail. Cytomorphological analysis revealed atypical cells presenting predominantly as loose clusters. No tubular or papillary structures were evident in the clusters and no mucin production was observed. The diagnosis of sebaceous carcinoma of the breast requires prominent sebaceous differentiation of cells. In Papanicolaou-stained smears, the differentiated tumor cells were found within the yellowish clusters. When these yellowish clusters were observed at high magnification and shifted out of focus, the sebaceous differentiation of tumor cells could be recognized. This finding is an advantage of observing Papanicolaou-stained specimens. Like previous reports, some individual cells showing sebaceous differentiation were also observed. In cases where many yellowish clusters appear, close observation of the interior of the clusters can confirm the presence of sebaceous differentiation of tumor cells and serve as a diagnostic clue for the cytological diagnosis of sebaceous carcinoma of the breast.

Abstract 5066: Integrating spatial and single cell transcriptomics to identify and characterise biologically driven subgroups in invasive lobular carcinoma

Abstract Background: Invasive lobular carcinoma (ILC) is the second most common histological breast cancer subtype; however, little is known about its tumor microenvironment (TME). Here, we aimed to identify and to characterise ILC subgroups based on TME heterogeneity by combining spatial transcriptomics (ST) and single cell RNA-sequencing (scRNA-seq). Methods: We performed ST (Visium 10x Genomics) on frozen tumor samples from 41 primary hormone receptor positive (HR+), HER2-negative (HER2-) ILCs. Information coming from the morphological annotation of ST slides and the gene expression-based clustering of ST spots was integrated and used as input for a patient level classification (using intNMF algorithm). Subgroups of patients were annotated using morphology, gene set enrichment analysis and ST deconvolution based on scRNA-seq data (CARD software). SCAN-B bulk RNA-seq dataset was used as validation set (HR+, HER2- ILC samples, n = 853). Results: Four subgroups of patients were identified: proliferative (P, n = 12, enriched in tumor cells and proliferation-related pathways), normal-stroma enriched (NSE, n = 10, enriched in fibroblasts, stroma-related pathways and showing an higher level of colocalization between invasive and in situ carcinoma), metabolic (M, n = 9, enriched in metabolic related-pathways) and metabolic-immune enriched (MIE, n = 10, enriched in adipocytes, metabolic and immune-related pathways). Deconvolution of ST spots with single cell data revealed matching results with morphology (in terms of cell types). We observed an enrichment of myofibroblasts in NSE, an enrichment of cancer epithelial in P and, interestingly, an enrichment of endothelial cells in M subgroup (fdr &amp;lt; 0.25). MIE was characterized by perivascular like-endothelial cells and myeloid cells (monocytes and macrophages, fdr &amp;lt; 0.25). Of note, at the level of the ST slide, myeloid cells in MIE subgroup were more present in the adipose tissue compartment (fdr &amp;lt; 0.25) compared to the rest of the slide. NSE subgroup showed a trend for association with better prognosis. Gene signature-based assignment identified the same four subgroups in SCAN-B: GSEA analysis and comparisons among the four subgroups showed matching results between our dataset and SCAN-B. Of note, in SCAN-B, we observed differences in prognosis among the subgroups, with NSE showing better, M and MIE intermediate and P worse prognosis for overall survival and relapse free interval (p &amp;lt; 0.01). Conclusions: Four subgroups of ILC based on TME heterogeneity and showing differences in prognosis were identified and validated in external cohort. Of note, two of these groups were related to metabolism, highlighting the value of such process in ILC biology. Importantly, myeloid cells were the predominant immune cell types in ILC, and they showed a specific compartmentalization inside the TME. Further validation is needed. Citation Format: Matteo Serra, Andreas Papagiannis, Mattia Rediti, Frederic Lifrange, Nicola Occelli, Laetitia Collet, Delphine Vincent, Ghizlane Rouas, Danai Fimereli, Ligia Craciun, Denis Larsimont, David Venet, Miikka Vikkula, Francois P. Duhoux, Françoise Rothé, Christos Sotiriou. Integrating spatial and single cell transcriptomics to identify and characterise biologically driven subgroups in invasive lobular carcinoma [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 5066.

A comparative study between the diagnostic performance of contrast-enhanced digital mammography and dynamic contrast-enhanced MRI in invasive lobular carcinoma of the breast

BackgroundInvasive lobular carcinoma is the second most prevalent histological subtype of breast cancer after invasive duct carcinoma, with a reported increased incidence in the last two decades. It often presents with challenging imaging characteristics that lower the sensitivity of mammography in their detection and delineation of their extent. Moreover, an increased risk of having synchronous lesions in the same or opposite breast was reported in cases with invasive lobular carcinoma. This obviates the need for other imaging modalities, specifically contrast-enhanced imaging modalities, to improve early detection as well as allow precise determination of the extent of the disease. Our aim in this study was to compare the diagnostic performance of contrast-enhanced digital mammography and dynamic contrast-enhanced magnetic resonance imaging (MRI) in the local staging of invasive lobular carcinoma regarding the size, extensions, multiplicity and bilaterality.MethodsThis study included 46 female patients with pathologically proven invasive lobular carcinoma. They underwent full-field digital mammography with a complementary ultrasound examination, contrast-enhanced digital mammography, and dynamic contrast-enhanced MRI. The findings encountered by the three imaging modalities were evaluated independently, and the results were compared with final histopathology.ResultsIn the current study, dynamic contrast-enhanced MRI study was the most sensitive modality in the detection of the index lesion, synchronous ipsilateral and contralateral lesions and achieved a sensitivity of 100% in each analysis as compared to contrast-enhanced digital mammography, which achieved a sensitivity of 97.8%, 85.7% and 80%, respectively. Regarding the assessment of the lesion extent to the surroundings, there was a tendency to overestimation by MRI examination.ConclusionsAlthough dynamic contrast-enhanced MRI is the most sensitive imaging modality for detecting the index lesion, multiplicity and bilaterality, contrast-enhanced digital mammography achieved comparable overall accuracy. Regarding the locoregional staging of invasive lobular carcinoma, there was a tendency for relative overestimation by MRI examination.

Abstract A052: Dissecting the immune regulatory mechanisms of distinct PI3K alterations in invasive lobular carcinoma

Abstract Immunotherapy has been far less effective in breast cancer compared to other cancer types, with only a small fraction of patients having clinical benefit. Historically, invasive lobular carcinomas (ILC), the second most common histological subtype of breast cancer, have been categorized as immunological cold tumors, but recent studies suggest that ILCs may recruit a myeloid-rich immunosuppressive immune landscape. Cancer cell intrinsic features such as the genetic makeup of tumor cells can dictate the spatial distribution, composition and activation state of immune cells, which can exert both anti-tumor and pro-tumor activities and affect disease progression and immunotherapy response. Genetic aberration in key genes of the phosphoinositide-3 kinase (PI3K) signaling pathway are observed in &amp;gt;50% of primary ILCs. The overall aim of this project is to determine whether genetic aberrations in key genes of the PI3K pathway regulate the composition and functional state of the immune landscape, and whether this influences the clinical benefit of immunomodulatory strategies in ILC patients. To dissect the immune regulatory mechanisms of distinct PI3K alterations we have used transgenic ILC mouse models, in which immune profiling studies by flow cytometry and immunohistochemistry revealed that distinct PI3K alterations in cancer cells differentially affect the tumor immune landscape. With some mutations driving a myeloid-rich tumor microenvironment, whereas the immune landscape of tumors harboring other PI3K mutations is dominated by lymphoid cells. To understand the observed cancer genotype-immunophenotypes mechanistically, we have performed single-cell RNA sequencing and secretome analysis to assess cellular communication between the cancer cells and the immune system. We identified key differences in ligand-receptor interactions and secreted signaling that can explain the influx of different immunosuppressive immune cell types in the tumor microenvironment of murine ILCs. We are currently investigating whether therapeutic targeting of immunosuppression is a feasible strategy for PI3K-altered ILC tumors with a tumor-promoting immune landscape. Shedding light on the mechanisms that govern the diversity and function of immune cells in the tumor microenvironment will provide a greater understanding of interpatient heterogeneity, and will pave the way for the development of novel and more tailored immunomodulatory strategies for ILC patients. Citation Format: Antoinette van Weverwijk, Michael Schubert, Joseph Siefert, Martine van Miltenburg, Kim Vrijland, Julia Houthuijzen, Anne Stunnenberg, Cheei-Sing Hau, Lodewyk Wessels, Jos Jonkers, Karin E de Visser. Dissecting the immune regulatory mechanisms of distinct PI3K alterations in invasive lobular carcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr A052.

Effect of histological breast cancer subtypes invasive lobular versus non-special type on survival in early intermediate-to-high-risk breast carcinoma: results from the SUCCESS trials

BackgroundInvasive lobular breast carcinomas (ILC) have different histological features compared to non-special type carcinomas (NST), but the effect of histological subtypes on survival is controversial. In this study, we compared clinicopathological characteristics and outcomes between ILC and NST based on a large pooled data set from three adjuvant breast cancer trials (SUCCESS A, B, and C) and investigated a potential differential effect of recurrence risk related to nodal stage on survival.MethodsFrom 2005 to 2017, the large randomized controlled SUCCESS A, B, and C trials enrolled 8190 patients with primary, intermediate-to-high-risk breast carcinoma. All patients received adjuvant chemotherapy, and endocrine and/or HER2-targeted treatment was given where appropriate. Survival outcomes in terms of disease-free survival (DFS), overall survival (OS), breast cancer-specific survival (BCSS), and distant disease-free survival (DDFS) were estimated using the Kaplan–Meier method and analyzed using log-rank tests as well as univariable and adjusted multivariable Cox regression models.ResultsIn the SUCCESS trials, 6284 patients had NST and 952 had ILC. The median follow-up time was 64 months. ILC patients were older, more likely to receive mastectomy, and more likely to have larger tumor sizes, lymph node infiltration, hormone receptor-positive, HER2neu-negative, and luminal A-like tumors than NST patients. In the overall cohort, no significant differences between ILC and NST were detectable regarding the four survival endpoints, with hazard ratios obtained in adjusted multivariable cox regressions of 0.96 (95% CI 0.77–1.21, p = 0.743) for DFS, 1.13 (95% CI 0.85–1.50, p = 0.414) for OS, 1.21 (95% CI 0.89–1.66, p = 0.229) for BCSS, and 0.95 (95% CI 0.73–1.24, p = 0.689) for DDFS. However, a differential effect of nodal stage on survival was observed, with better survival for ILC patients with pN0/pN1 tumors and worse survival for ILC patients with pN2/pN3 tumors compared to NST patients.ConclusionsOur results revealed that ILC was associated with worse survival compared to NST for patients at high risk of recurrence due to advanced lymph node infiltration. These findings should be taken into account for treatment decisions and monitoring.

Lobular-Like Features and Outcomes of Mixed Invasive Ductolobular Breast Cancer (MIDLC): Insights from 54,403 Stage I-III MIDLC Patients.

Mixed invasive ductolobular breast cancer (MIDLC) is a rare histological subtype of breast cancer (BC), with components of both invasive ductal cancer (IDC) and invasive lobular cancer (ILC). Its clinicopathological features and outcomes have not been well characterized. The National Cancer Database 2010-2017 was reviewed to identify women with stage I-III BCs. Univariate analysis was performed using Chi-square or Wilcoxon rank-sum tests and multivariable analysis with logistic regression to predict surgical decisions. Survival was assessed using multivariable Cox proportional hazards regression analysis. We identified 955,828 women with stage I-III BCs (5.7% MIDLC, 10.3% ILC, and 84.0% IDC). MIDLC was more like ILC than IDC in terms of multicentricity (14.2% MIDLC, 13.0% ILC, 10.0% IDC), hormone receptor positivity (96.6% MIDLC, 98.2% ILC, 81.2% IDC), and use of neoadjuvant chemotherapy (NAC; 5.8% MIDLC, 5.2% ILC, 10.8% IDC). 744,607 women underwent upfront surgery. The mastectomy rates were 42.3% for MIDLC, 46.5% for ILC, and 33.3% for IDC (all p<0.001). With 5.5 years of median follow-up, the adjusted overall survival in the upfront surgery hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) biological subgroup was better in MIDLC (hazard ratio 0.88, p<0.001) and ILC (hazard ratio 0.91, p<0.001) than in IDC. Like ILC, MIDLC also had a lower pathological complete response to NAC than IDC (12.3% MIDLC, 7.3% ILC, 28.6% IDC). MIDLC displays a mixed pattern of characteristics favoring features of ILC compared with IDC, with favorable 5-year overall survival compared with IDC within the HR+/HER2- subtype who underwent upfront surgery.

THU477 Drivers Of Estrogen Induced Invasive Lobular Carcinoma

Abstract Disclosure: C. Ufondu: None. L. Clem: None. M. Musick: None. M.J. Sikora: None. J.H. Ostrander: None. Invasive lobular carcinoma (ILC) is an estrogen-receptor (ER)-positive histologic subtype of breast cancer typically treated with anti-estrogens (i.e., tamoxifen and aromatase inhibitors). Anti-estrogen resistance and disease progression occur in about 34% of patients with ILC, but mechanisms of resistance have been underexplored. Additionally, estrogen-only hormone replacement therapy increases the risk of ILC, but not the more common invasive ductal carcinoma (IDC), highlighting a potentially unique role for estrogen in ILC initiation and progression. To identify mediators of estrogen-induced ILC progression we are using the the mouse mammary intraductal (MIND) model, which better recapitulates the progression of ILC and response to estrogen in vivo. MM134, MM330, and SUM44PE ILC cell lines were injected intraductally into the #4 mammary glands of NSG mice. Mice were monitored for up to 20 weeks with or without estrogen supplemented in the drinking water. Our results show that MIND supports an in situ-like to invasive disease progression for ILC cell lines, and that estrogen accelerated tumor growth and invasion in vivo. Current studies are aimed at identifying mediators that drive estrogen-induced tumor growth and invasion in vivo, focusing on E-cadherin (CDH1) loss as the genetic hallmark of ILC occurring in ∼95% of cases. We aim to identify how loss of E-cadherin in normal human mammary epithelial cells (HMECs) may lead to reprogramming of ER and promote the development of ILC. We are developing a CRISPR/Cas9 approach for knocking out CDH1 in HMECs. We will study estrogen response in the CDH1-knockout versus control HMECs in vitro to examine whether loss contributes to ILC-specific estrogen activity. Using the MIND model, we will engraft the control and knockout cells into the ducts of adult female NSG mice and monitor tumor growth through bioluminescence imaging. ER reprogramming will be assessed in the engrafted cells using RNAseq and CUT&amp;RUN (Cleavage Under Target &amp; Release Using Nuclease). We predict that E-cadherin loss will reprogram ER DNA binding, dysregulate transcription factors linked to E-cadherin, such as TCF/LEF, and confirm critical downstream regulators that mediate estrogen-driven tumorigenesis. Understanding the unique contributions of ER in ILC could lead to new therapeutic strategies for the prevention and treatment of ILC. Presentation: Thursday, June 15, 2023

Breast cancer classification using hybrid deep neural networks: staging and grading of cancer

Breast cancer is responsible for the deaths of hundreds of women every year. The manual identification of breast cancer has more difficulties, and have the possibility of error. Many imaging approaches are being researched for their potential to identify breast cancer (BC). Incorrect identification might sometimes result in unneeded therapy and diagnosis. Because of this, accurate identification of breast cancer may save a great number of patients from needing unneeded surgery and biopsies. Deep learning’s (DL) performance in the processing of medical images has substantially increased as a result of recent breakthroughs in the sector. Because of their improved capacity to anticipate outcomes, deep learning algorithms are able to reliably detect BC from ultrasound pictures. Transfer learning is a kind of machine learning that reuses knowledge representations from public models that were built with the use of large-scale datasets. Transfer learning has been shown to often result in overfitting. The primary purpose of this research is to develop and provide suggestions for a deep learning model that is effective and reliable in the detection and classification of breast cancer. A tissue biopsy is obtained from the suspicious region in order to ascertain the nature of a breast tumor and whether or not it is cancerous. Tumors may take any of these forms. When the images have been reconstructed with the help of a variational autoencoder (VAE) and a denoising variational autoencoder (DVAE), a convolutional neural network (CNN) model is used. This will be the case because it opens up a new area of the field to be investigated. The histological subtypes of breast cancer are used in conjunction with the degree of differentiation to execute the task of breast cancer categorization.

Digital mammography and digital breast tomosynthesis for detecting invasive lobular and ductal carcinoma.

Invasive lobular carcinoma (ILC) is a distinct histological subtype of breast cancer that can make early detection with mammography challenging. We compared imaging performance of digital breast tomosynthesis (DBT) to digital mammography (DM) for diagnoses of ILC, invasive ductal carcinoma (IDC), and invasive mixed carcinoma (IMC) in a screening population. We included screening exams (DM; n = 1,715,249 or DBT; n = 414,793) from 2011 to 2018 among 839,801 women in the Breast Cancer Surveillance Consortium. Examinations were followed for one year to ascertain incident ILC, IDC, or IMC. We measured cancer detection rate (CDR) and interval invasive cancer rate/1000 screening examinations for each histological subtype and stratified by breast density and modality. We calculated relative risk (RR) for DM vs. DBT using log-binomial models to adjust for the propensity of receiving DBT vs. DM. Unadjusted CDR per 1000 mammograms of ILC overall was 0.33 (95%CI: 0.30-0.36) for DM; 0.45 (95%CI: 0.39-0.52) for DBT, and for women with dense breasts- 0.33 (95%CI: 0.29-0.37) for DM and 0.54 (95%CI: 0.43-0.66) for DBT. Similar results were noted for IDC and IMC. Adjusted models showed a significantly increased RR for cancer detection with DBT compared to DM among women with dense breasts for all three histologies (RR; 95%CI: ILC 1.53; 1.09-2.14, IDC 1.21; 1.02-1.44, IMC 1.76; 1.30-2.38), but no significant increase among women with non-dense breasts. DBT was associated with higher CDR for ILC, IDC, and IMC for women with dense breasts. Early detection of ILC with DBT may improve outcomes for this distinct clinical entity.