scholarly journals Impact of Immune Cell Heterogeneity on HER2+ Breast Cancer Prognosis and Response to Therapy

Cancers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 6352
Author(s):  
Milena Perrone ◽  
Giovanna Talarico ◽  
Claudia Chiodoni ◽  
Sabina Sangaletti
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Tumor Microenvironment ◽  
Response To Therapy ◽  
Cancer Prognosis ◽  
Response To Treatment ◽  
Matrix Composition ◽  
Cell Protein ◽  
Her2 Breast Cancer ◽  
Tumor Stages

Breast cancer is a heterogeneous disease with a high degree of diversity among and within tumors, and in relation to its different tumor microenvironment. Compared to other oncotypes, such as melanoma or lung cancer, breast cancer is considered a “cold” tumor, characterized by low T lymphocyte infiltration and low tumor mutational burden. However, more recent evidence argues against this idea and indicates that, at least for specific molecular breast cancer subtypes, the immune infiltrate may be clinically relevant and heterogeneous, with significant variations in its stromal cell/protein composition across patients and tumor stages. High numbers of tumor-infiltrating T cells are most frequent in HER2-positive and basal-like molecular subtypes and are generally associated with a good prognosis and response to therapies. However, effector immune infiltrates show protective immunity in some cancers but not in others. This could depend on one or more immunosuppressive mechanisms acting alone or in concert. Some of them might include, in addition to immune cells, other tumor microenvironment determinants such as the extracellular matrix composition and stiffness as well as stromal cells, like fibroblasts and adipocytes, that may prevent cytotoxic T cells from infiltrating the tumor microenvironment or may inactivate their antitumor functions. This review will summarize the state of the different immune tumor microenvironment determinants affecting HER2+ breast tumor progression, their response to treatment, and how they are modified by different therapeutic approaches. Potential targets within the immune tumor microenvironment will also be discussed.

scholarly journals Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 996
Author(s):  
Ana Carolina Pavanelli ◽  
Flavia Rotea Mangone ◽  
Luciana R. C. Barros ◽  
Juliana Machado-Rugolo ◽  
Vera L. Capelozzi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Predictive Value ◽  
Expression Patterns ◽  
Survival Rates ◽  
In Silico Analysis ◽  
Cancer Prognosis ◽  
Response To Treatment ◽  
Breast Cancer Patients ◽  
Non Coding Rnas

Abnormal long non-coding RNAs (lncRNAs) expression has been documented to have oncogene or tumor suppressor functions in the development and progression of cancer, emerging as promising independent biomarkers for molecular cancer stratification and patients’ prognosis. Examining the relationship between lncRNAs and the survival rates in malignancies creates new scenarios for precision medicine and targeted therapy. Breast cancer (BRCA) is a heterogeneous malignancy. Despite advances in its molecular classification, there are still gaps to explain in its multifaceted presentations and a substantial lack of biomarkers that can better predict patients’ prognosis in response to different therapeutic strategies. Here, we performed a re-analysis of gene expression data generated using cDNA microarrays in a previous study of our group, aiming to identify differentially expressed lncRNAs (DELncRNAs) with a potential predictive value for response to treatment with taxanes in breast cancer patients. Results revealed 157 DELncRNAs (90 up- and 67 down-regulated). We validated these new biomarkers as having prognostic and predictive value for breast cancer using in silico analysis in public databases. Data from TCGA showed that compared to normal tissue, MIAT was up-regulated, while KCNQ1OT1, LOC100270804, and FLJ10038 were down-regulated in breast tumor tissues. KCNQ1OT1, LOC100270804, and FLJ10038 median levels were found to be significantly higher in the luminal subtype. The ROC plotter platform results showed that reduced expression of these three DElncRNAs was associated with breast cancer patients who did not respond to taxane treatment. Kaplan–Meier survival analysis revealed that a lower expression of the selected lncRNAs was significantly associated with worse relapse-free survival (RFS) in breast cancer patients. Further validation of the expression of these DELncRNAs might be helpful to better tailor breast cancer prognosis and treatment.

scholarly journals Tumor microenvironment in triple-negative breast cancer: the correlation of tumor-associated macrophages and tumor-infiltrating lymphocytes

2021 ◽  
Author(s):  
H. Kuroda ◽  
T. Jamiyan ◽  
R. Yamaguchi ◽  
A. Kakumoto ◽  
A. Abe ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Tumor Microenvironment ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Cytotoxic T Cells ◽  
Tumor Infiltrating Lymphocytes ◽  
Tumor Associated Macrophages ◽  
Free Survival ◽  
Infiltrating Lymphocytes

Abstract Purpose Immune cells such as cytotoxic T cells, helper T cells, B cells or tumor-associated macrophages (TAMs) contribute to the anti-tumor response or pro-tumorigenic effect in triple negative breast cancer (TNBC). The interrelation of TAMs, T and B tumor-infiltrating lymphocytes (TILs) in TNBC has not been fully elucidated. Methods We evaluated the association of tumor-associated macrophages, T and B TILs in TNBC. Results TNBCs with a high CD68+, CD163+ TAMs and low CD4+, CD8+, CD20+ TILs had a significantly shorter relapse-free survival (RFS) and overall survival (OS) than those with low CD68+, CD163+ TAMs and high CD4+, CD8+, CD20+ TILs. TNBCs with high CD68+ TAMs/low CD8+ TILs showed a significantly shorter RFS and OS and a significantly poorer prognosis than those with high CD68+ TAMs/high CD8+ TILs, low CD68+ TAMs/high CD8+ TILs, and low CD68+/low CD8+. TNBCs with high CD163+ TAMs/low CD8+, low CD20 + TILs showed a significantly shorter RFS and OS and a significantly poorer prognosis than those with high CD163+ TAMs/high CD8+ TILs and high CD163+ TAMs /high CD20+ TILs. Conclusions Our study suggests that TAMs further create an optimal tumor microenvironment (TME) for growth and invasion of cancer cells when evasion of immunoreactions due to T and B TILs occurs. In TNBCs, all these events combine to affect prognosis. The process of TME is highly complex in TNBCs and for an improved understanding, larger validation studies are necessary to confirm these findings.

scholarly journals 83 Spatially resolved transcriptomic and proteomic investigation of breast cancer and its immune microenvironment

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A91-A91
Author(s):  
Jennifer Chew ◽  
Cedric Uytingco ◽  
Rapolas Spalinskas ◽  
Yifeng Yin ◽  
Joe Shuga ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Tumor Microenvironment ◽  
Protein Expression ◽  
Protein Detection ◽  
Response To Therapy ◽  
Pathological Examination ◽  
Multi Drug Resistance ◽  
Spatially Resolved ◽  
Gene And Protein Expression

BackgroundThe tumor microenvironment (TME) is composed of highly heterogeneous extracellular structures and cell types such as endothelial cells, immune cells, and fibroblasts that dynamically influence and communicate with each other. The constant interaction between a tumor and its microenvironment plays a critical role in cancer development and progression and can significantly affect a tumor’s response to therapy and capacity for multi-drug resistance. High resolution analyses of gene and protein expression with spatial context can provide deeper insights into the interactions between tumor cells and surrounding cells within the TME, where a better understanding of the underlying biology can improve treatment efficacy and patient outcomes. Here, we demonstrated the ability to perform streamlined multi-omic tumor analyses by utilizing the 10X Genomics Visium Spatial Gene Expression Solution for FFPE with multiplex protein enablement. This technique simultaneously assesses gene and protein expression to elucidate the immunological profile and microenvironment of different breast cancer samples in conjunction with standard pathological methods.MethodsSerial (5 µm) sections of FFPE human breast cancer samples were placed on Visium Gene Expression (GEX) slides. The Visium GEX slides incorporate ~5,000 molecularly barcoded, spatially encoded capture spots onto which tissue sections are placed, stained, and imaged. Following incubation with a human whole transcriptome, probe-based RNA panel and an immuno-oncology oligo-tagged antibody panel, developed with Abcam conjugated antibodies, the tissues are permeabilized and the representative probes are captured. Paired GEX and protein libraries are generated for each section and then sequenced on an Illumina NovaSeq at a depth of ~50,000 reads per spot. Resulting reads from both libraries are aligned and overlaid with H&E-stained tissue images, enabling analysis of both mRNA and protein expression. Additional analyses and data visualizations were performed on the Loupe Browser v4.1 desktop software.ConclusionsSpatial transcriptomics technology complements pathological examination by combining histological assessment with the throughput and deep biological insight of highly-multiplexed protein detection and RNA-seq. Taken together, our work demonstrated that Visium Spatial technology provides a spatially-resolved, multi-analyte view of the tumor microenvironment, where a greater understanding of cellular behavior in and around tumors can help drive discovery of new biomarkers and therapeutic targets.

Thyroid status regulates tumor microenvironment delineating breast cancer fate

2021 ◽  
Author(s):  
Helena Andrea Sterle ◽  
Ximena Hildebrandt ◽  
Matías Valenzuela Álvarez ◽  
María Alejandra Paulazo ◽  
Luciana Mariel Gutierrez ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Tumor Microenvironment ◽  
Lung Metastasis ◽  
Cytotoxic T Cells ◽  
Suppressor Cells ◽  
Thyroid Status ◽  
Cd8 Cells ◽  
Regulatory T Lymphocytes ◽  
Starting Point

The patient’s hormonal context plays a crucial role in the outcome of cancer. However, the association between thyroid disease and breast cancer risk remains unclear. We evaluated the effect of thyroid status on breast cancer growth and dissemination in an immunocompetent mouse model. For this, hyperthyroid and hypothyroid Balb/c mice were orthotopically inoculated with triple negative breast cancer 4T1 cells. Tumors from hyperthyroid mice showed increased growth rate and an immunosuppressive tumor microenvironment, characterized by increased IL-10 levels and decreased percentage of activated cytotoxic T cells. On the other hand, a delayed tumor growth in hypothyroid animals was associated with increased tumor infiltration of activated CD8+ cells and a high IFNγ/IL-10 ratio. Paradoxically, hypothyroid mice developed a higher number of lung metastasis than hyperthyroid animals. This was related to an increased secretion of tumor CCL2 and an immunosuppressive systemic environment, with increased proportion of regulatory T cells and IL-10 levels in spleens. A lower number of lung metastasis in hyperthyroid mice was related to the reduced presence of mesenchymal stem cells in tumors and metastatic sites. These animals also exhibited decreased percentages of regulatory T lymphocytes and myeloid-derived suppressor cells in spleens, but increased activated CD8+ cells and IFNγ/IL-10 ratio. Therefore, thyroid hormones modulate the cellular and cytokine content of the breast tumor microenvironment. The better understanding of the mechanisms involved in these effects could be a starting point for the discovery of new therapeutic targets for breast cancer.

scholarly journals Time-Resolved Profiling Reveals ATF3 as a Novel Mediator of Endocrine Resistance in Breast Cancer

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2918
Author(s):  
Simone Borgoni ◽  
Emre Sofyalı ◽  
Maryam Soleimani ◽  
Heike Wilhelm ◽  
Karin Müller-Decker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Endocrine Resistance ◽  
Early Response ◽  
Estrogen Receptor Α ◽  
Response To Therapy ◽  
Response To Treatment ◽  
Endocrine Treatment ◽  
Resistance Development ◽  
Time Resolved

Breast cancer is one of the leading causes of death for women worldwide. Patients whose tumors express Estrogen Receptor α account for around 70% of cases and are mostly treated with targeted endocrine therapy. However, depending on the degree of severity of the disease at diagnosis, 10 to 40% of these tumors eventually relapse due to resistance development. Even though recent novel approaches as the combination with CDK4/6 inhibitors increased the overall survival of relapsing patients, this remains relatively short and there is a urgent need to find alternative targetable pathways. In this study we profiled the early phases of the resistance development process to uncover drivers of this phenomenon. Time-resolved analysis revealed that ATF3, a member of the ATF/CREB family of transcription factors, acts as a novel regulator of the response to therapy via rewiring of central signaling processes towards the adaptation to endocrine treatment. ATF3 was found to be essential in controlling crucial processes such as proliferation, cell cycle, and apoptosis during the early response to treatment through the regulation of MAPK/AKT signaling pathways. Its essential role was confirmed in vivo in a mouse model, and elevated expression of ATF3 was verified in patient datasets, adding clinical relevance to our findings. This study proposes ATF3 as a novel mediator of endocrine resistance development in breast cancer and elucidates its role in the regulation of downstream pathways activities.

The use of bioimpedance spectroscopy to monitor response to treatment interventions with breast cancer-related lymphedema.

2013 ◽  
Vol 31 (26_suppl) ◽  
pp. 138-138
Author(s):  
Chirag Shah ◽  
Frank Vicini ◽  
Peter D. Beitsch ◽  
Beth Anglin ◽  
Alison Lisa Laidley ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Extracellular Fluid ◽  
Response To Therapy ◽  
Response To Treatment ◽  
Bioimpedance Spectroscopy ◽  
Post Surgery ◽  
Before And After ◽  
The Mean ◽  
Breast Cancer Related Lymphedema ◽  
Pre Treatment

138 Background: Currently, limited tools are available to assess response to therapy in patients with breast cancer related lymphedema (BCRL). The purpose of this study was to perform an exploratory analysis to determine if, in clinical settings, bioimpedance spectroscopy (BIS) can detect changes in extracellular fluid volume in response to treatment of BCRL. Methods: Three centers that had experience with BIS (L-Dex U400, ImpediMed Limited, Brisbane, Australia) provided retrospective data on 50 patients with breast cancer who were evaluated with BIS at baseline and following loco-regional procedures. Patients had a pre-surgical L-Dex measurement as well as at least 2 post-surgical measurements (before and after BCRL intervention). Decisions regarding intervention were made by physicians with no L-Dex score cut-off utilized. An analysis was performed comparing changes in L-Dex scores for those patients undergoing treatment for BCRL (n=13) versus those not undergoing intervention (n=37). A second analysis was also performed on all patients with elevated L-Dex scores compared to baseline prior to intervention (n=32). Results: The mean age was 54 years old. Fifty four percent of patients underwent SLN biopsy with a mean of 7.9 nodes removed. The mean change in L-Dex score from baseline (pre-treatment) to the first post-surgical L-Dex score measurement was 3.3 +/- 6.8. When comparing the cohort treated for BCRL to those not treated, L-Dex scores were significantly reduced (-4.3 v. 0.1, p=0.005) following intervention. For the subset of patients with elevated L-Dex scores post-surgery, the change in L-Dex score following BCRL intervention was significantly reduced (-5.8 v. 0.1, p=0.001) compared with those observed. Conclusions: These results confirm that BIS can detect increases in L-Dex scores following breast surgery and can also detect reductions in L-Dex scores following intervention for early onset lymphedema. These results demonstrate that BIS has significant clinical utility as it can be used to monitor patients with early BCRL who undergo intervention and to follow these patients (through serial measurements) to document their short and long-term response to these treatments.

SimBioSys TumorScope: Spatio-temporal modeling of the tumor microenvironment to predict chemotherapeutic response.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12650-e12650
Author(s):  
John A Cole ◽  
Joseph R Peterson ◽  
Tyler M Earnest ◽  
Micahel J Hallock ◽  
John R Pfeiffer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Microenvironment ◽  
3D Model ◽  
Healthcare Providers ◽  
Standard Of Care ◽  
Response To Treatment ◽  
Breast Cancer Patients ◽  
Temporal Modeling ◽  
Early Results ◽  
Spatio Temporal

e12650 Background: One of the most important sources of variability affecting each patient’s response to neoadjuvant chemotherapy (NACT) is drug and nutrient perfusion, The SimBioSys TumorScope is a computational decision-support system that is designed to predict the flow of drugs and nutrients throughout the tumor microenvironment, and the subsequent response of the tumor to treatment. By enabling healthcare providers to simulate a range of different standard-of-care treatment regimens in a realistic 3D model of each patient’s tumor, providers can predict which treatments are most effective, and provide the best possible care for their patients. Methods: SimBioSys TumorScope implements a multi-scale simulation technology that couples several biophysical and biochemical models in order to predict how individual patients' tumors respond to NACT. The simulations explicitly track the 3D morphology of the tumor and surrounding tissues (based on MRI images), as well as the concentrations of key nutrients and drugs as they change over time. At each location within the 3D model, these concentrations are used to predict cell growth and death rates. As different regions of the tumor grow or die, its macroscopic shape changes. Results: SimBioSys TumorScope was retrospectively applied to over 300 breast cancer patients that received NACT. Simulations were initialized with pre-treatment MRI data, and run through the entirety of each patient's specified treatment regimen. Predicted changes in tumor volume and longest dimension were then compared against measured values at several time-points after initiation of therapy, yielding Pearson correlations of over 0.93 for both. Work is underway to extend the technology to lung tumors; early results show very different metabolic behaviors from those of breast tumors, and significantly less response to treatment overall. Conclusions: Through accurate spatio-temporal modeling of drug and nutrient perfusion, metabolic behavior, and the physico-chemical interactions that arise between tissues, the SimBioSys TumorScope for Breast Cancer can accurately predict the response of patients treated with NACT.

The spatial localization of CD163+ tumor-associated macrophages predicts prognosis and response to therapy in inflammatory breast cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 3086-3086
Author(s):  
Christophe Van Berckelaer ◽  
Charlotte Rypens ◽  
Steven Van Laere ◽  
Koen Marien ◽  
Pieter-Jan Van Dam ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Deep Learning ◽  
Tumor Cells ◽  
Inflammatory Breast Cancer ◽  
Immune Cells ◽  
Multivariate Model ◽  
Response To Therapy ◽  
Tumor Associated Macrophages ◽  
Cd8 Cells

3086 Background: The mechanisms contributing to the aggressive biology of inflammatory breast cancer (IBC) are under investigation. A specific immune response seems to be an important driver, but the functional role of infiltrating immune cells in IBC remains unclear. Tumor-associated macrophages (TAMs) are associated with worse outcome, while CD8+ cytotoxic T cells demonstrate anti-tumor properties in breast cancer. In this study, we assessed spatial associations between CD163+ TAMs, CD8+ cells and cancer cells in IBC, using deep-learning and ecological statistics. Methods: We collected clinicopathological variables, evaluated PDL1-positivity (SP142, Ventana) and scored TILs according to the TIL working group guidelines on H&E slides for 144 IBC patients. Immunostainings for CD8 and CD163 (Hematoxylin-DAB) were done according to validated protocols. All slides were digitized, underwent virtual multiplexing and were evaluated in Visiopharm to quantify the number of DAB+ immune cells. Each immune cell was located using XY coordinates and spatial interactions were examined using a Morisita Horn Index (MHI). Tumor cell coordinates were collected using a deep-learning algorithm applied to the CD8-stained slide. This algorithm was trained in 18 images with more than 150.000 iterations (Deeplabv3+). Results: Complete pathological response (pCR) after neo-adjuvant chemotherapy was achieved by 30.6% (n= 30/98) of the patients with initially localized disease. Besides PDL1-postivity ( P= .03), infiltration with CD8+ T cells ( P= .02) and TAMs ( P= .01) also predicted pCR. However, a likelihood ratio test showed no difference between a model using CD8+ cells, TAMs or TILs. Interestingly, the colocalization of CD163+ and CD8+ cells (MHI >0.83) was associated with pCR (P= .01) and remained significant in a multivariate model (OR: 3.18; 95% CI: 1.04 – 10.6; P= .05) including TIL score, PDL1-positivity and hormone receptor (HR) status. Furthermore, a shorter disease-free survival (DFS) was associated with HR- status, no pCR and the colocalization of TAMs near tumor cells (HR: 3.3; 95% CI: 1.6 – 7.1; P= .002) in a multivariate model. The density of TAMs was not associated with outcome. Conclusions: The impact of TAMs on clinical outcome appears to depend on the spatial arrangement. The number of TAMs solely was not associated with outcome, but patients with more TAMs in proximity of the tumor cells had a worse DFS. Surprisingly, the clustering of TAMs near CD8+ cells was associated with pCR independent of the number of TAMs or TILs.

scholarly journals CD4 T-cell immune stimulation of HER2+ breast cancer cells alters response to trastuzumab in vitro

2020 ◽  
Author(s):  
Patrick Song ◽  
Amer Mansur ◽  
Kari J. Dugger ◽  
Tessa R. Davis ◽  
Grant Howard ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
T Cell ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Receptor Expression ◽  
Immune Stimulation ◽  
Her2 Breast Cancer ◽  
Stimulation Of

Abstract Introduction: The HER2+ tumor immune microenvironment is composed of macrophages, natural killer cells, and tumor infiltrating lymphocytes, which produce pro-inflammatory cytokines. Determining the effect of T-cells on HER2+ cancer cells during therapy could guide immunogenic therapies that trigger antibody-dependent cellular cytotoxicity. This study utilized longitudinal in vitro time-resolved microscopy imaging to measure T-cell influence on trastuzumab in HER2+ breast cancer.Methods: Fluorescently-labeled breast cancer cells (BT474, SKBR3, MDA-MB-453, and MDA-MB-231) were co-cultured with CD4+ T-cells (Jurkat cell line) and longitudinally imaged to quantify cancer cell viability when treated with or without trastuzumab (10, 25, 50 and 100 mg/mL). The presence and timing of T-cell co-culturing was manipulated to determine immune stimulation of trastuzumab-treated HER2+ breast cancer. HER2 and TNF-a expression were evaluated with western blot and ELISA, respectively. Significance was calculated using a two-tailed parametric t-test. Results: The viability of HER2+ cancer cells significantly decreased when exposed to 25 mg/mL trastuzumab and T-cells, compared to cancer cells exposed to trastuzumab without T-cells (p = 0.01). The presence of T-cells significantly increased TNF-a expression in trastuzumab-treated cancer cells (p = 0.02). Conversely, cancer cells treated with TNF-a and trastuzumab had a similar decrease in viability as trastuzumab-treated cancer cells co-cultured with T-cells (p = 0.32).Conclusions: The presence of T-cells significantly increases the efficacy of targeted therapies and suggests trastuzumab may trigger immune mediated cytotoxicity. Increased TNF-a receptor expression suggest cytokines may interact with trastuzumab to create a state of enhanced response to therapy in HER2+ breast cancer, which has potential to reducing tumor burden.

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