scholarly journals Genomic Signatures in Luminal Breast Cancer

Breast Care ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 355-365
Author(s):  
Julian Puppe ◽  
Tabea Seifert ◽  
Christian Eichler ◽  
Henryk Pilch ◽  
Peter Mallmann ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Throughput Sequencing ◽  
Early Stage ◽  
Intrinsic Subtype ◽  
Luminal Breast Cancer ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Cancer Subtypes ◽  
Molecular Tests ◽  
Immunohistochemical Markers

Background: Breast cancer is a very heterogeneous disease and luminal breast carcinomas represent the hormone receptor-positive tumors among all breast cancer subtypes. In this context, multigene signatures were developed to gain further prognostic and predictive information beyond clinical parameters and traditional immunohistochemical markers. Summary: For early breast cancer patients these molecular tools can guide clinicians to decide on the extension of endocrine therapy to avoid over- and undertreatment by adjuvant chemotherapy. Beside the predictive and prognostic value, a few genomic tests are also able to provide intrinsic subtype classification. In this review, we compare the most frequently used and commercially available molecular tests (OncotypeDX®, MammaPrint®, Prosigna®, EndoPredict®, and Breast Cancer IndexSM). Moreover, we discuss the clinical utility of molecular profiling for advanced breast cancer of the luminal subtype. Key Messages: Multigene assays can help to de-escalate systemic therapy in early-stage breast cancer. Only the Oncotype DX® and MammaPrint®test are validated by entirely prospective and randomized phase 3 trials. More clinical evidence is needed to support the use of genomic tests in node-positive disease. Recent developments in high-throughput sequencing technology will provide further insights to understand the heterogeneity of luminal breast cancers in early-stage and metastatic disease.

The predictive potential of the spatial signature of lymphocytes in breast cancer patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 530-530
Author(s):  
Nora Balint-Lahat ◽  
Chen Mayer ◽  
Noa Ben-Baruch ◽  
Ady Yosepovich ◽  
Kira Sacks ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Early Stage ◽  
Principal Component ◽  
Treatment Decision ◽  
High Ratio ◽  
Luminal Breast Cancer ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Validation Set

530 Background: Tumor-infiltrating lymphocytes in breast cancer have emerged as both a prognostic and a potentially predictive immunotherapy biomarker. Advancements in artificial intelligence can extract pathology-based spatial immune fingerprints for use as treatment decision support tools. Methods: We examined 908 primary breast cancer patients with whole slide images (WSI) available from TCGA database. Digital structuring of WSIs included automated detection of lymphocytes, tumor and tumor adjacent stroma, using deep learning-based semantic segmentation. Prognosis was defined as progression free interval (PFI). A Cox Survival analysis was used to detect prognostic spatial features. We used principal component analysis (PCA) to reduce and decorrelate significant features. The resulting PCA features were used to fit the final model. The model was then validated on an independent database of WSI of breast lumpectomies, from two tertiary hospitals in Israel. Results: The analysis included 908 WSI. The average age was 58.4 years old, with a majority of early stage breast cancer (76.7%, stage I and II). The detection performance for tumor area and lymphocytes reached F1 scores of 99% and 97% respectively, in comparison to human annotation. In the Kaplan Meier (KM) analysis of 414 early stage luminal breast cancers, a high number of lymphocyte clusters (LC) and a high ratio between stromal lymphocyte density and tumor lymphocyte density (LD-S/LD-T) were significantly associated with longer PFI (p = 0.005 and p = 0.038, respectively). Based on these features, two continuous PCA features were added to the multivariate model, and remained significantly associated with PFI after adjusting for age (HR = 1.19, 95% CI 1.05-1.35; HR = 1.26 95% CI 1.03-1.55). The validation set was underpowered (n = 79) and data is still being collected. In a preliminary KM analysis of 37 early stage luminal breast cancer cases from the validation set, LD-S/LD-T was significantly associated with longer PFI (p = 0.046). Conclusions: In our study, LC and LD-S/LD-T, presumably surrogate measures of peritumoral lymphocytes, were found significantly associated with longer PFI.

scholarly journals Epigenetic Regulation of Immunotherapy Response in Triple-Negative Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 4139
Author(s):  
Pere Llinàs-Arias ◽  
Sandra Íñiguez-Muñoz ◽  
Kelly McCann ◽  
Leonie Voorwerk ◽  
Javier I. J. Orozco ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Immune Escape ◽  
Checkpoint Inhibitors ◽  
Early Stage ◽  
Regulatory Elements ◽  
Her2 Overexpression ◽  
Breast Cancers ◽  
Cancer Subtypes

Triple-negative breast cancer (TNBC) is defined by the absence of estrogen receptor and progesterone receptor and human epidermal growth factor receptor 2 (HER2) overexpression. This malignancy, representing 15–20% of breast cancers, is a clinical challenge due to the lack of targeted treatments, higher intrinsic aggressiveness, and worse outcomes than other breast cancer subtypes. Immune checkpoint inhibitors have shown promising efficacy for early-stage and advanced TNBC, but this seems limited to a subgroup of patients. Understanding the underlying mechanisms that determine immunotherapy efficiency is essential to identifying which TNBC patients will respond to immunotherapy-based treatments and help to develop new therapeutic strategies. Emerging evidence supports that epigenetic alterations, including aberrant chromatin architecture conformation and the modulation of gene regulatory elements, are critical mechanisms for immune escape. These alterations are particularly interesting since they can be reverted through the inhibition of epigenetic regulators. For that reason, several recent studies suggest that the combination of epigenetic drugs and immunotherapeutic agents can boost anticancer immune responses. In this review, we focused on the contribution of epigenetics to the crosstalk between immune and cancer cells, its relevance on immunotherapy response in TNBC, and the potential benefits of combined treatments.

Hormonal Therapy for the Treatment of Postmenopausal Breast Cancer Patients

2008 ◽  
Vol 21 (1) ◽  
pp. 36-45
Author(s):  
Rebecca E. Greene ◽  
Vivian Tsang
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Postmenopausal Women ◽  
Hormonal Therapy ◽  
Early Stage ◽  
Postmenopausal Breast Cancer ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Hormone Receptor Positive ◽  
Receptor Modulator

Breast cancer is the most common cancer diagnosed and the second leading cause of cancer-related death in women. The majority of breast cancers diagnosed in postmenopausal women are hormone receptor positive and involve therapy with hormonal agents. Tamoxifen, a selective estrogen-receptor modulator, has been the mainstay of hormonal therapy since the 1970s. The more recent approval and success of aromatase inhibitors, such as anastrozole, letrozole, and exemestane, have seen these agents move to the front line of therapy for postmenopausal women with hormone-positive breast cancer in the adjuvant and metastatic settings. Fulvestrant, a selective estrogen receptor— downregulator, provides an additional hormonal therapy with a novel mechanism of action. This article reviews the current literature available regarding the use of these agents for postmenopausal women with early stage or advanced breast cancer.

scholarly journals ER-Negative Breast Cancer Is Highly Responsive to Cholesterol Metabolite Signalling

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2618 ◽  
Author(s):  
Samantha A Hutchinson ◽  
Priscilia Lianto ◽  
Hanne Roberg-Larsen ◽  
Sebastiano Battaglia ◽  
Thomas A Hughes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Lines ◽  
Target Genes ◽  
Cholesterol Metabolism ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Cancer Subtypes ◽  
Hormone Receptor Positive ◽  
Er Positive ◽  
Positive Breast Cancer

Interventions that alter cholesterol have differential impacts on hormone receptor positive- and negative-breast cancer risk and prognosis. This implies differential regulation or response to cholesterol within different breast cancer subtypes. We evaluated differences in side-chain hydroxycholesterol and liver X nuclear receptor signalling between Oestrogen Receptor (ER)-positive and ER-negative breast cancers and cell lines. Cell line models of ER-positive and ER-negative disease were treated with Liver X Receptor (LXR) ligands and transcriptional activity assessed using luciferase reporters, qPCR and MTT. Publicly available datasets were mined to identify differences between ER-negative and ER-positive tumours and siRNA was used to suppress candidate regulators. Compared to ER-positive breast cancer, ER-negative breast cancer cells were highly responsive to LXR agonists. In primary disease and cell lines LXRA expression was strongly correlated with its target genes in ER-negative but not ER-positive disease. Expression of LXR’s corepressors (NCOR1, NCOR2 and LCOR) was significantly higher in ER-positive disease relative to ER-negative, and their knock-down equalized sensitivity to ligand between subtypes in reporter, gene expression and viability assays. Our data support further evaluation of dietary and pharmacological targeting of cholesterol metabolism as an adjunct to existing therapies for ER-negative and ER-positive breast cancer patients.

scholarly journals Molecular Profiling for Breast Cancer: A Comprehensive Review

2013 ◽  
Vol 5 ◽  
pp. BIC.S9455 ◽  
Author(s):  
Muaiad Kittaneh ◽  
Alberto J. Montero ◽  
Stefan Glück
Keyword(s):  
Breast Cancer ◽  
Early Stage ◽  
Recurrence Risk ◽  
Cancer Diagnostics ◽  
Breast Cancer Patients ◽  
Breast Cancer Diagnostics ◽  
Molecular Tests ◽  
Standard Clinical Practice ◽  
Medical Oncologists ◽  
Polymerase Chain

In recent years advances in molecular biology have launched disruptive innovations in breast cancer diagnostics and therapeutics. The advent of genomics has revolutionized our understanding of breast cancer as several different biologically and molecularly distinct diseases. This research has led to commercially available polymerase chain reaction (PCR) and microarray tests that have begun to fundamentally change the way medical oncologists quantify recurrence risk in early stage breast cancer patients. The Genomics era has altered the clinicopathologic paradigm of selecting patients for adjuvant cytotoxic chemotherapy. Sufficiently powered prospective studies are underway that may establish these molecular assays as elements of standard clinical practice in breast cancer treatment. In this article, we review the strengths and limitations of currently available breast cancer-specific molecular tests.

Early-stage male breast cancer: A 10-year experience

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11630-e11630
Author(s):  
N. Gercovich ◽  
E. Gil Deza ◽  
M. Russo ◽  
C. Garcia Gerardi ◽  
C. Diaz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Male Breast Cancer ◽  
Ductal Carcinoma ◽  
Early Stage ◽  
Male Breast ◽  
Stage I ◽  
Stage Ii ◽  
Breast Cancers ◽  
Breast Cancer Patients

e11630 Introduction: Male breast cancer is very rare, representing only between 0.7% and 1% of all breast cancers, and only half of them are early stage cases. Objective: The present study has been designed with the aim of studying retrospectively the clinical onset and evolution of male invasive breast cancer patients (stages I and II) treated at IOHM between 1997 and 2008. Methods: The records of 3,000 breast cancer cases followed between 1997 and 2008 were searched, looking for male stage I and II breast cancer patients. A database was designed following the recommendations of the Directors of Surgical Pathology of the USA. The information registered encompassed: adjuvant treatments, recurrence date and date of final consultation or death. Results: Twelve pts were identified. Mean age (range)= 66 yo (50–89 yo). Tumoral type= Invasive Ductal Carcinoma 12 pt. Tumoral subtype= NOS 9 pt (75%) Apocrine 2 pt (17%) Micropapillar 1 pt (8%). Nottingham´s grade= Grade 2: 8 pt, Grade 3: 3 pt, N/A=1 pt. Stage= I= 6 pt, II=6 pt. ER (Positve= 9 pt, Negative=1 pt, N/A= 2 pt). PR (Positve= 8 pt, Negative= 2 pt, N/A=2 pt). Her2neu (0+= 3 pt, 1+= 3 pt, 2+= 2 pt, N/A= 4 pt). Surgery= Mastectomy= 11 pt, Lumpectomy 1= pt. Radiotherapy=5 pt. Adjuvance= No=2 pt, Hormonotherapy (HT)= 3 pt, Chemotherapy (CHT) = 3 pt, CHT+HT= 4 pt. Recurrence= Yes= 2 pt, No= 10 pt. Survival: Dead= 1 pt, Alive =11 pt. Mean Time To Progression= Stage I =66 months, Stage II =42 months. Global survival: Stage I =66 months, Stage II =52 months. Conclusions: 1. Twelve stage I and II male breast cancer patients were identified out of 3000 (0.4%) breast cancer cases diagnosed and followed in the past 10 years at the IOHM. 2. Mastectomy was the surgical procedure in 11 of the 12 cases 3. Ten pt underwent adjuvant treatment. 4. With a mean follow up time of 60 months, all stage I patients are alive and there were no recurrences. Two of the 6 stage II pts progressed and one died. No significant financial relationships to disclose.

Clinicopathologic characteristics of triple-negative breast cancer and relationship to basal markers.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e11519-e11519
Author(s):  
Dimitrios Tryfonopoulos ◽  
Georgios Oikonomopoulos ◽  
Stamatina Demiri ◽  
Lazaros Lekakis ◽  
Nikolaos Fragkiskos Pistamaltzian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Stage Iv ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Clinicopathologic Characteristics ◽  
Ki 67 ◽  
Immunohistochemical Markers ◽  
Gene Expression Studies

e11519 Background: Triple negative breast cancers are immunohistochemical surrogates of basal-like breast cancers. There is no complete overlap between triple negative and basal-like tumors and as gene expression studies evolve, further subclassification bearing clinical relevance is underway. Our purpose was to correlate clinicopathologic characteristics of triple negative breast cancer tumors with expression of basal markers in an effort to define immunohistochemically subgroups of this heterogenous disease Methods: Data were retrieved and analysed using our electronic databank. Patient samples were reviewed by an expert breast cancer pathologist and stained additionally for EGFR and CK 5/6 antibodies. Results: Sixty-five women with triple negative breast cancer were identified. Mean age was 58.3±12.9 years. Most tumors (86%) were of ductal histology, 53% grade 3, 48% having high Ki-67 index (>14%). 10% of patients presented with Stage IV, 25% with Stage III, 38% with stage II and 27% with stage I disease. 63% of patients were postmenopausal. EGFR staining was present in 43% of tumor samples, whereas CK 5/6 in 38.5%. Both EGFR and CK 5/6 expression was found in 18.5%, whereas 37% of tumors expressed neither EGFR or CK 5/6. No difference was observed between tumors expressing any of these 2 basal markers as compared to EGFR and CK 5/6 negative tumors in terms of Ki-67 index, grade, tumor size and nodal involvement. Lymphovascular invasion and non-ductal histology tended to occur more frequently (p=ns) in non-basal tumors. Additionally, patients with expression of any of the basal markers tended to be more obese than the non-basal triple negative breast cancer patients (p=ns). Conclusions: Further immunohistochemical markers apart from EGFR and CK 5/6 are needed in order to further define clinically meaningful subgroups of triple negative breast cancer.

Variability in metabolic cross-feeding behaviors in breast cancer and response to neoadjuvant chemotherapy.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12645-e12645
Author(s):  
Joseph R Peterson ◽  
John A Cole ◽  
Tyler M Earnest ◽  
Micahel J Hallock ◽  
Tushar Pandey ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Density Lipoprotein ◽  
In Silico Analysis ◽  
Primary Energy ◽  
Intrinsic Subtype ◽  
Breast Cancers ◽  
Luminal A ◽  
Feeding Behaviors ◽  
Cancer Subtypes

e12645 Background: Success of neoadjuvant chemotherapy (NACT) varies by intrinsic subtype of a patient’s breast cancer (e.g., Normal-like, Luminal A/B, HER2-enriched, Triple Negative). The metabolic rate of a given tumor is implicated in response to chemotherapies, as many act by killing rapidly dividing cells. Metabolic dis-regulation opens avenues for cancer cells to exploit environmental niches arising in the tumor microenvironment (TME). Focusing on the role the TME plays in defining cancer behavior, we undertook a theoretical investigation to uncover how metabolic cross-feeding affects subtype behavior and patient response. Methods: An in silico analysis of cross-feeding variability arising from metabolic differences breast cancers was undertaken. TME community models consisting of fatty, glandular, and cancerous tissues’ metabolic behaviors were created. Expression levels of metabolic enzymes for 1222 community patients in TCGA BRCA were used to create models. Models were used in 3D simulations of tumors for 300 patients from the TCIA (Clark et al., J. Digital Imaging, 2013). Cross-feeding trends within each intrinsic subtype were analyzed. Results: Predicted TME metabolic capabilities were compared to literature: LA/LB had lower amino acid consumption than TNBC/HER2+ for asparagine, glutamine (Glu), tryptophan, phenylalanine (van Geldermolsen et al. Oncogone 2016; Furuya et al. Cancer Sci. 2012). Additionally, TNBC tumors produced Glu which was consumed by adipose tissue ( Cao et al. BMC Cancer, 2014), TNBC produced methionine and proline (Kanaan et al. Can. Gen. Prot. 2014), and TNBC/HER2+ cancers consumed high density lipoprotein produced by adipose (Balabum et al. Cancer Met. 2017). The simulations revealed novel cross-feeding behaviors. In general, TNBC/HER2+ relied on glucose as the primary energy source, while LA/LB relied on the amino acids alanine, glycine and Glu. TNBC/HER2+ cancers produced high levels of lactate which was consumed by adipose tissues. Uniquely, glycine produced by cancer was consumed by fat in TNBC cancers Several environmental niches were induced in the healthy tissue by the presence of the cancer; for example, ornithine was predicted to be cross-fed from fatty to glandular tissues in TNBC/HER2+ cancers, and glutamate and inosine from glandular to fatty tissues in HER2+ cancers. Conclusions: Metabolic niches provide opportunities for cancer subtypes. These results suggest that metabolic pathway usage can lead to difference in growth, cross-feeding, and drug efficacy.

scholarly journals Combining CD47 blockade with trastuzumab eliminates HER2-positive breast cancer cells and overcomes trastuzumab tolerance

2021 ◽  
Vol 118 (29) ◽  
pp. e2026849118
Author(s):  
Rosalynd Upton ◽  
Allison Banuelos ◽  
Dongdong Feng ◽  
Tanuka Biswas ◽  
Kevin Kao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Monoclonal Antibody ◽  
Cancer Patients ◽  
Early Stage ◽  
Regulatory Protein ◽  
Her2 Overexpression ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Her2 Gene ◽  
Her2 Positive

Trastuzumab, a targeted anti-human epidermal-growth-factor receptor-2 (HER2) monoclonal antibody, represents a mainstay in the treatment of HER2-positive (HER2+) breast cancer. Although trastuzumab treatment is highly efficacious for early-stage HER2+ breast cancer, the majority of advanced-stage HER2+ breast cancer patients who initially respond to trastuzumab acquire resistance to treatment and relapse, despite persistence of HER2 gene amplification/overexpression. Here, we sought to leverage HER2 overexpression to engage antibody-dependent cellular phagocytosis (ADCP) through a combination of trastuzumab and anti-CD47 macrophage checkpoint immunotherapy. We have previously shown that blockade of CD47, a surface protein expressed by many malignancies (including HER2+ breast cancer), is an effective anticancer therapy. CD47 functions as a “don’t eat me” signal through its interaction with signal regulatory protein-α (SIRPα) on macrophages to inhibit phagocytosis. Hu5F9-G4 (magrolimab), a humanized monoclonal antibody against CD47, blocks CD47’s “don’t eat me” signal, thereby facilitating macrophage-mediated phagocytosis. Preclinical studies have shown that combining Hu5F9-G4 with tumor-targeting antibodies, such as rituximab, further enhances Hu5F9-G4’s anticancer effects via ADCP. Clinical trials have additionally demonstrated that Hu5F9-G4, in combination with rituximab, produced objective responses in patients whose diffuse large B cell lymphomas had developed resistance to rituximab and chemotherapy. These studies led us to hypothesize that combining Hu5F9-G4 with trastuzumab would produce an anticancer effect in antibody-dependent cellular cytotoxicity (ADCC)-tolerant HER2+ breast cancer. This combination significantly suppressed the growth of ADCC-tolerant HER2+ breast cancers via Fc-dependent ADCP. Our study demonstrates that combining trastuzumab and Hu5F9-G4 represents a potential new treatment option for HER2+ breast cancer patients, even for patients whose tumors have progressed after trastuzumab.

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