scholarly journals CD73-Mediated Immunosuppression Is Linked to a Specific Fibroblast Population That Paves the Way for New Therapy in Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 5878
Author(s):  
Ilaria Magagna ◽  
Nicolas Gourdin ◽  
Yann Kieffer ◽  
Monika Licaj ◽  
Rana Mhaidly ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Checkpoint Inhibitors ◽  
Immune Checkpoints ◽  
Breast Cancer Patients ◽  
Large Collection ◽  
Functional Assays ◽  
Regulatory T Lymphocytes ◽  
Potential Clinical Benefit ◽  
Cd73 Expression

Background: Cancer-associated fibroblasts (CAF) are heterogeneous with multiple functions in breast cancer. Recently, we identified a specific CAF subpopulation (referred to as CAF-S1), which promotes immunosuppression and immunotherapy resistance. Methods and Results: Here, by studying a large collection of human samples, we highlight the key function of CD73/NT5E in CAF-S1-mediated immunosuppression in breast cancer. We first reveal that CD73 protein level specifically accumulates in CAF-S1 in breast cancer patients. Interestingly, infiltration of regulatory T lymphocytes (Tregs) is significantly correlated with CD73 expression in stroma but not in epithelium, indicating that CD73 contributes to immunosuppression when expressed in CAF-S1 and not in tumor cells. By performing functional assays based on relevant systems using primary CAF-S1 isolated from patients, we demonstrate that CAF-S1 increase the content in both PD-1+ and CTLA-4+ Tregs. Importantly, the use of a blocking anti-CD73 antibody on CAF-S1 reduces CAF-S1-mediated immunosuppression by preventing expression of these immune checkpoints on Tregs. Conclusions: Our data support the potential clinical benefit of using both anti-CD73 and immune-checkpoint inhibitors in breast cancer patients for inhibiting CAF-S1-mediated immunosuppression and enhancing anti-tumor immune response.

scholarly journals Checkpoint Inhibitors in Breast Cancer - Current Status and Future Directions

Breast Care ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Joachim Bischoff
Keyword(s):  
Breast Cancer ◽  
T Cell Activation ◽  
Cell Activation ◽  
Checkpoint Inhibitors ◽  
Treatment Options ◽  
Death Receptor ◽  
Target Population ◽  
Current Status ◽  
Immune Checkpoints ◽  
Breast Cancer Patients

Antineoplastic agents directly targeting tumor cells have represented the major strategy of systemic anticancer therapy for many years. Nevertheless, overcoming resistance mechanisms remains a great challenge because treatment options are limited in many cases. From this point of view, immunotherapeutic approaches seem promising in a broad spectrum of solid tumors. These include in particular the currently available inhibitors directed against immune checkpoints leading to a significant T-cell activation. To date, the programmed death receptor 1 (PD-1) and its ligand are the most prominent targets in this context. However, the role of checkpoint inhibitors in the treatment of breast cancer is still being debated, and the main focus is on triple-negative breast cancer patients as a target population in many ongoing trials. Moreover, the potential superiority of combinations with other anticancer drugs such as cytotoxics and targeted agents will be discussed.

scholarly journals Expression Patterns of Immune Checkpoints In Breast Cancer Patients

2021 ◽  
Author(s):  
Dan Qiu ◽  
Xianxin Yan ◽  
Guijuan Zhang ◽  
Xinqin Xiao ◽  
Jingyu Cao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Solid Tumors ◽  
Immune Checkpoint Inhibitors ◽  
Positive Response ◽  
Checkpoint Inhibitors ◽  
Expression Patterns ◽  
Immune Checkpoints ◽  
Breast Cancer Patients ◽  
Insight Into

Abstract Background: immunotherapy with immune checkpoint inhibitors (ICIs) for solid tumors had significantly improved overall survival (OS). Positive response to PD-1/PD-L1 blockades was observed in the treatment of solid tumors. Breast cancer (BC) patients are no exception. However, the efficacy of immunocheckpoint therapy in BC patients remains poor. A particularly important factor is the lack of studies on the expression patterns of immune checkpoints in BC patients. Results: It was found that increased expression of PD-1, PD-L1, STAT1, CTLA-4 was associated with poor OS in BC patients. In addition, co-expression of PD-L1 with PD-1, STAT1or CTLA-4 and co-expression of PD-1 with CTLA-4was related to poor OS. We analyzed associations between the proportionate expression of PD-L1 and PD-1, PD-L1 and STAT1, PD-1 and CTLA-4, PD-1 and LAG3, PD-L1 and CTLA-4 in BC patients, there was significance in correlation in both of the BC patients. The expression of STAT1 in BC patients was compared with that of HC, and it was found that STAT1 was highly expressed in BC patients. Conclusions: our results suggest that transcriptome-based co-expression of STAT1 and PD-L1 is a predictor for poor OS in BC patients, which might provide novel insight into designing combinational targeted therapy for BC.

scholarly journals Immunotherapy in Breast Cancer Patients: A Focus on the Use of the Currently Available Biomarkers in Oncology

2021 ◽  
Vol 21 ◽  
Author(s):  
Carmen Criscitiello ◽  
Elena Guerini-Rocco ◽  
Giulia Viale ◽  
Caterina Fumagalli ◽  
Elham Sajjadi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Randomized Clinical Trials ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Tumor Infiltrating Lymphocytes ◽  
Optimal Timing ◽  
Breast Cancer Patients ◽  
Tumor Mutational Burden ◽  
Clinical Benefits

: Immune checkpoint inhibitors (ICIs) have remarkably modified the way solid tumors are managed, including breast cancer. Unfortunately, only a relatively small number of breast cancer patients significantly respond to these treatments. To maximize the immunotherapy benefit in breast cancer, several efforts are currently being put forward for the identification of i) the best therapeutic strategy (i.e. ICI monotherapy or in association with chemotherapy, radiotherapy, or other drugs); ii) the optimal timing for administration (e.g. early/advanced stage of disease; adjuvant/neoadjuvant setting); iii) the most effective and reliable predictive biomarkers of response (e.g. tumor-infiltrating lymphocytes, programmed death-ligand 1, microsatellite instability associated with mismatch repair deficiency, and tumor mutational burden). This article reviews the impacts and gaps in the characterization of immune-related biomarkers raised by clinical and translational research studies with immunotherapy treatments. Particular emphasis has been put on the documented evidence of significant clinical benefits of ICI in different randomized clinical trials, along with preanalytical and analytical issues in predictive biomarkers pathological assessment.

scholarly journals Update Breast Cancer 2019 Part 3 – Current Developments in Early Breast Cancer: Review and Critical Assessment by an International Expert Panel

2019 ◽  
Vol 79 (05) ◽  
pp. 470-482 ◽  
Author(s):  
Hans-Christian Kolberg ◽  
Andreas Schneeweiss ◽  
Tanja N. Fehm ◽  
Achim Wöckel ◽  
Jens Huober ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Early Breast Cancer ◽  
Checkpoint Inhibitors ◽  
Local Therapy ◽  
Breast Cancer Patients ◽  
Long Term Effects ◽  
Cancer Review ◽  
Therapeutic Decisions ◽  
Study Results

AbstractThe treatment of breast cancer patients in a curative situation is special in many ways. The local therapy with surgery and radiation therapy is a central aspect of the treatment. The complete elimination of tumour cells at the site of the primary disease must be ensured while simultaneously striving to keep the long-term effects as minor as possible. There is still focus on the continued reduction of the invasiveness of local therapy. With regard to systemic therapy, chemotherapies with taxanes, anthracyclines and, in some cases, platinum-based chemotherapies have become established in the past couple of decades. The context for use is being continually further defined. Likewise, there are questions in the case of antihormonal therapy which also still need to be further defined following the introduction of aromatase inhibitors, such as the length of therapy or ovarian suppression in premenopausal patients. Finally, personalisation of the treatment of early breast cancer patients is also being increasingly used. Prognostic tests could potentially support therapeutic decisions. It must also be considered how the possible use of new therapies, such as checkpoint inhibitors and CDK4/6 inhibitors could look in practice once study results in this regard are available. This overview addresses the backgrounds on the current votes taken by the international St. Gallen panel of experts in Vienna in 2019 for current questions in the treatment of breast cancer patients in a curative situation.

scholarly journals Molecular and Clinical Characterization of LAG3 in Breast Cancer Through 2994 Samples

2021 ◽  
Vol 12 ◽  
Author(s):  
Qiang Liu ◽  
Yihang Qi ◽  
Jie Zhai ◽  
Xiangyi Kong ◽  
Xiangyu Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Immunotherapy ◽  
Cancer Patients ◽  
Immune Cell ◽  
Immune Checkpoints ◽  
Cell Populations ◽  
Breast Cancer Patients ◽  
Correlation Pattern ◽  
Potential Biomarker

Despite the promising impact of cancer immunotherapy targeting CTLA4 and PD1/PDL1, numerous cancer patients fail to respond. LAG3 (Lymphocyte Activating 3), also named CD233, serves as an alternative inhibitory receptor to be targeted in the clinic. The impacts of LAG3 on immune cell populations and coregulation of immune responses in breast cancer remain largely unknown. To characterize the role of LAG3 in breast cancer, we investigated transcriptome data and associated clinical information derived from 2,994 breast cancer patients. We estimated the landscape of the relationship between LAG3 and 10 types of cell populations of breast cancer. We investigated the correlation pattern between LAG3 and immune modulators in pancancer, particularly the synergistic role of LAG3 with other immune checkpoint members in breast cancer. LAG3 expression was closely related to the malignancy of breast cancer and may serve as a potential biomarker. LAG3 may play an important role in regulating the tumor immune microenvironment of T cells and other immune cells. More important, LAG3 may synergize with CTLA4, PD1/PDL1, and other immune checkpoints, thereby contributing more evidence to improve combination cancer immunotherapy by simultaneously targeting LAG3, PD1/PDL1, and CTLA4.

scholarly journals Comprehensive Analysis of the Immune Microenvironment Reveals that CD52 is a Marker for Breast Cancer Treatment with Immune Checkpoint Inhibitors

2021 ◽  
Author(s):  
Qiang Wang ◽  
Xuxu Liu ◽  
Pengfei Wang ◽  
Dankun Luo ◽  
Wenqi Gao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Adaptive Immune Response ◽  
Breast Cancer Patients ◽  
Immune Microenvironment ◽  
Adaptive Immune

Abstract Background:Breast cancer (BC) is one of the most common tumors in women. Recent years, immune checkpoint inhibitors (ICIs) have brought good news to BC patients. Although significant achievements have been made through treatment with ICIs, some people who experience serious immune-related adverse events (IrAEs) are still insensitive to this approach. The response to ICI treatment depends on the type of tumor microenvironment (TME). Methods:WGCNA (weighted gene co-expression network analysis), ESTIMATE algorithm, LASSO regression analysis, survival analysis, functional enrichment analysis are conducted to analyze the BC data in the TCGA database. Immunohistochemistry was used to verify the expression of CD52 in BC.Results:WGCNA and ESTIMATE algorithm found that the CD52 is closely related to the immune microenvironment. CD52 highly expressed in various breast cancer subtypes, and patients with high expression of CD52 have longer survival time. Compared with the low-CD52 group, the high-CD52 group had more immune cell infiltration. TIMER database verification results showed that CD8+ T cells, activated memory CD4 T cells, memory B cells, γδ T cells, and Tregs were positively correlated with CD52 expression, while M2 macrophages were negatively correlated. CD52 can change the trend of TIC (CD8+ T) and tumor-associated macrophage (TAM) infiltration with respect to the survival time of breast cancer patients. Based on the expression of CD52, we explored the relationship between CD52 and the adaptive immune response (AIR). CD52 is a marker of AIR stratification in breast cancer patients. We constructed a CD52-related adaptive immune response gene signature (CD52rAIRGsig) which is an independent prognostic factor for breast cancer and related to genome instability and the immune cells infiltration in the TME. CD52 and CD52rAIRGsig were associated with PD-1 signaling and immune checkpoint inhibitor markers, which proves that patients with high CD52 expression and low risk of CD52rAIRGsig are more suitable for ICI treatment. We then screened chemotherapeutics for personalized medicine based on CD52rAIRGsig. Conclusion:Therefore, we have discovered a new marker to guide the treatment and prognosis of breast cancer patients with ICIs. This provides a combined treatment strategy including different combinations of ICIs combined with chemotherapeutic drugs to treat breast cancer.

Risk of bleeding and significant thrombocytopenia in cancer patients treated with immune checkpoint inhibitors.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15000-e15000
Author(s):  
Tariq Zuheir Kewan ◽  
Ramsha Ahmed ◽  
Sura Alqaisi ◽  
Fahrettin Covut ◽  
Monica Flores ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Side Effects ◽  
Cancer Patients ◽  
Checkpoint Inhibitors ◽  
Anticoagulation Therapy ◽  
Cleveland Clinic ◽  
Immune Checkpoints ◽  
Risk Of Bleeding ◽  
Increased Risk ◽  
Clinically Significant

e15000 Background: Immune checkpoints inhibitors (ICIs) are associated with multiple side effects. Complications can affect any organ system including; endocrine, gastrointestinal, pulmonary, and less frequently hematological system.We evaluated the risk of bleeding and significant thrombocytopenia in cancer patients (pts) treated with ICIs. Methods: Cancer pts treated with ICIs between 01/2015 and 7/2019 at Cleveland Clinic Foundation were retrospectively reviewed. Platelets (plts) count and hemoglobin (hb) level at baseline, after one month and 3 months of treatment were reviewed. Thrombocytopenia was defined as plts count < 150,000. In pts with thrombocytopenia at baseline, more than 50% drop in the plts count was considered significant. Pts were followed-up for one year after ICIs treatment initiation for significant bleeding. Results: We identified 555 cancer pts treated with ICIs. Of these pts 65% were males. Among all included pts, 53% had lung cancer, 23% had genitourinary cancers, 17% had melanoma, 3% had gastrointestinal cancers, and 5% had other cancer types. Nivolumab, pembrolizumab, ipilimumab, and atezolizumab were used in 62%, 27%, 14%, and 12% respectively. Clinically significant bleeding, thrombocytopenia after one month and 3 months of treatment were identified in 21%, 6%, and 7% respectively. Of all pts who developed bleeding, 8% had gastrointestinal bleeding, 5% had intracerebral hemorrhage, and 3 % had hemoptysis. Only 23% of the pts who developed bleeding were receiving anticoagulation therapy. In multivariate analysis, breast cancer as primary malignancy (p = .03) and atezolizumab (p = 0.02) were predictors of clinically significant bleeding. Also, nivolumab was associated with increased risk of significant thrombocytopenia after one month of treatment (p = .02). There was no significant association between the use of specific medication and the development of significant anemia. Median overall survival time was not statistically different in patients who had bleeding compared to no bleeding group, 12.6 months (95% CI:10.8-14.5) and 12.4 months (95% CI:10.3-15) respectively (p = .21). Conclusions: In this cohort study, atezolizumab and breast cancer were significantly associated with increased risk of bleeding. The use of nivolumab was associated with a greater risk of thrombocytopenia after one month of treatment. Prospective studies are needed for better understanding of the hematological side effects of ICIs.

scholarly journals Expression Patterns of Immune Checkpoints in Breast Cancer Patients

2021 ◽  
Author(s):  
Dan Qiu ◽  
Xianxin Yan ◽  
Guijuan Zhang ◽  
Xinqin Xiao ◽  
Jingyu Cao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Checkpoint Inhibitors ◽  
Expression Patterns ◽  
Microarray Dataset ◽  
Tissue Expression ◽  
Immune Checkpoints ◽  
Rna Seq ◽  
Breast Cancer Patients ◽  
Insight Into ◽  
Mcf 7

Abstract Background: immunotherapy with immune checkpoint inhibitors (ICIs) for solid tumors had significantly improved overall survival (OS). Positive response to PD-1/PD-L1 blockades was observed in the treatment of solidtumors. Breast cancer (BC) patients are no exception. However, the efficacy of immunocheckpoint therapy in BC patients remains poor. A particularly important factor is the lack of studies on the expression patterns of immune checkpoints in BC patients. Method: in this study, the microarray dataset GSE10810 was downloaded from the Gene Expression Database Synthesis (GEO) to analyze the differential expression of BC genes and perform GO and KEGG analysis. Then, we explored theprognostic value of ICs for BC patients by analyzing RNA-seq and mutation data from 657 BC patients from theCancer Genome Atlas (TCGA) database. Next, we analyzed the differences in the expression of relevant immune checkpoints between 1085 BC patients and 291 healthy controls (HC) in the Genotype-Tissue Expression (GTEx) database. Finally, we analyzed the expression levels of IFNγ-R, PD-L1, STAT1, IDO and other genes in MCF-10A, MF-10AT, MCF-7, MDA-MB-231 cell lines.Results: It was found that increased expression of PD-1, PD-L1, STAT1, CTLA-4 was associated with poor OS in BC patients. In addition, co-expression of PD-L1 with PD-1, STAT1or CTLA-4 and co-expression of PD-1 with CTLA-4was related to poor OS. We analyzed associations between the proportionate expression of PD-L1 and PD-1, PD-L1 and STAT1, PD-1 and CTLA-4, PD-1 and LAG3, PD-L1 and CTLA-4 in BC patients, there was significance in correlation in both of the BC patients.The expression of STAT1 in BC patients was compared with that of HC, and it was found that STAT1 was highly expressed in BC patients. Conclusions: our results suggest that transcriptome-based co-expression of STAT1 and PD-L1 is a predictor for poor OS in BC patients, which might provide novel insight into designing combinational targeted therapy for BC.

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