Breast Cancer Vaccines That Overcome Tolerance and Immune Suppression

2011 ◽  
Author(s):  
Olesya Chornoguz
2019 ◽  
Vol 16 (3) ◽  
pp. 251-258 ◽  
Author(s):  
Javad Behravan ◽  
Atefeh Razazan ◽  
Ghazal Behravan

Breast cancer is the second leading cause of cancer death among women. National cancer institute of the US estimates that one in eight women will be diagnosed with breast cancer during their lifetime. Considering the devastating effects of the disease and the alarming numbers many scientists and research groups have devoted their research to fight breast cancer. Several recommendations are to be considered as preventing measures which include living a healthy lifestyle, regular physical activity, weight control and smoking cessation. Early detection of the disease by annual and regular mammography after the age of 40 is recommended by many healthcare institutions. This would help the diagnosis of the disease at an earlier stage and the start of the treatment before it is spread to other parts of the body. Current therapy for breast cancer includes surgical ablation, radiotherapy and chemotherapy which is often associated with adverse effects and even may lead to a relapse of the disease at a later stage. In order to achieve a long-lasting anticancer response with minimal adverse effects, development of breast cancer vaccines is under investigation by many laboratories. The immune system can be stimulated by a vaccine against breast cancer. This approach has attracted a great enthusiasm in recent years. No breast cancer vaccines have been approved for clinical use today. One breast cancer vaccine (NeuVax) has now completed clinical trial phase III and a few preventive and therapeutic breast cancer vaccines are at different steps of development. We think that with the recent advancements in immunotherapy, a breast cancer vaccine is not far from reach.


2009 ◽  
Vol 35 (11) ◽  
pp. 1201
Author(s):  
Brian Hogan ◽  
M. Peter ◽  
R. Achuthan ◽  
C. Carter ◽  
T. Hughes ◽  
...  

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A72-A72
Author(s):  
Orsolya Lorincz ◽  
Levente Molnar ◽  
Zsolt Csiszovszki ◽  
Eszter Somogyi ◽  
Jozsef Toth ◽  
...  

BackgroundVaccines have little chance of destroying heterogeneous tumor cells since they rarely induce polyclonal T-cell responses against the tumor. The main challenge is the accurate identification of tumor targets recognizable by T cells. Presently, 6–8% of neoepitopes selected based on the patients‘ tumor biopsies are confirmed as real T cell targets.1 2. To overcome this limitation, we developed a computational platform called Personal Antigen Selection Calculator (PASCal) that identifies frequently presented immunogenic peptide sequences built on HLA-genetics and tumor profile of thousands of real individuals.3 Here we show the performance of PASCal for the identification of both shared and personalized tumor targets in metastatic colorectal cancer (mCRC) and breast cancer subjects.MethodsExpression frequency of the tumor-specific antigens (TSAs) ranked in PASCal’s database (based on 7,548 CRC specimen) was compared to the RNA-sequencing data of CRC tumors obtained from TCGA. Using PASCal, 12 shared PEPIs (epitopes restricted to at least 3 HLA class I alleles of a subject from an in silico cohort) derived from 7 TSAs were selected as frequent targets (calculated probability: average 2.5 [95%CI 2.4–2.8] TSAs/patient). Spontaneous immune responses against each of the twelve 9mer peptides were determined by ELISpot using PBMCs of 10 mCRC subjects who participated in the OBERTO-101 study.4 PEPIs selected for a breast cancer subject based on her HLA genotype were also tested.ResultsEach of the 106 tumors analyzed expressed at least 13, average 15 of the 20 top-ranked TSAs in PASCal’s database confirming their prevalence in CRC. 7/10 subjects had spontaneous CD8+ T-cell responses against at least one peptide selected with PASCal. Each peptide (12/12) was recognized by at least one patient. Patients‘ T-cells reacted with average 3.6/12 (30%) peptides confirming the expression of average 2.8 [95%CI 1.0–4.6] TSAs (n=10). After HLA-matching, among the subjects for whom we could select at least 4 PEPIs (average 5) from the list of 12 peptides (n=6), average 2.5 (50%) peptides were positive. Of the 12 PEPIs selected with PASCal for a breast cancer subject, we detected spontaneous T-cell responses against 9 PEPIs, indicating that at least 75% of the selected peptides were present in the subject’s tumor and were recognized by T-cells.ConclusionsPASCal platform accommodates both tumor- and patient heterogeneity and identifies non-mutated tumor targets that may trigger polyclonal cytotoxic T-cell responses. It is a rapid tool for the design of both off-the-shelf and personalized cancer vaccines negating the need for tumor biopsy.ReferencesWells DK, van Buuren MM, Dang KK, et al. Key parameters of tumor epitope immunogenicity revealed through a consortium approach improve neoantigen prediction. Cell 2020:183(3):818–34.e13.Bulik-Sullivan B, Busby J, Palmer CD, et al. Deep learning using tumor HLA peptide mass spectrometry datasets improves neoantigen identification. Nat Biotech 2018:37:55–63.Somogyi E, Csiszovszki Z, Lorincz O, et al. 1181PDPersonal antigen selection calculator (PASCal) for the design of personal cancer vaccines. Annal Oncol 2019:30(Supplement_5):v480-v81.Hubbard J, Cremolini C, Graham R, et al. P329 PolyPEPI1018 off-the shelf vaccine as add-on to maintenance therapy achieved durable treatment responses in patients with microsatellite-stable metastatic colorectal cancer patients (MSS mCRC). J ImmunoTher Cancer 2019:7(1):282.


2018 ◽  
Vol 12 ◽  
pp. 117822341877480 ◽  
Author(s):  
Issam Makhoul ◽  
Mohammad Atiq ◽  
Ahmed Alwbari ◽  
Thomas Kieber-Emmons

The immune system plays a major role in cancer surveillance. Harnessing its power to treat many cancers is now a reality that has led to cures in hopeless situations where no other solutions were available from traditional anticancer drugs. These spectacular achievements rekindled the oncology community’s interest in extending the benefits to all cancers including breast cancer. The first section of this article reviews the biological foundations of the immune response to different subtypes of breast cancer and the ways cancer may overcome the immune attack leading to cancer disease. The second section is dedicated to the actual immune treatments including breast cancer vaccines, checkpoint inhibitors, monoclonal antibodies, and the “unconventional” immune role of chemotherapy.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13041-e13041
Author(s):  
In Ah Kim ◽  
Min Guk Han ◽  
Bum Sup Jang ◽  
Mi Hyun Kang

e13041 Background: Breast cancer is generally viewed as immunologically cold, imposing an immune-suppressive tumor microenvironment (TME) and responding poorly to lone immune checkpoint blockade (ICB). As an adjunct to ICB, radiation therapy (RT) holds promise in terms of in situ tumor vaccination effect, although it is known to promote immune suppression, increasing regulatory T cells (Treg), myeloid-derived suppressor cells (MDSCs), and M2 tumor-associated macrophages (TAMs). It was our contention that combined use of RT and a PI3Kγδ inhibitor to combat immune suppression might enhance the efficacy of ICB. Methods: Murine breast cancer cells (4T1) were grown in both immune-competent BALB/c mice, humanized patient-derived xenograft (PDX) were established, and both were irradiated by 3 fractions of 24 Gy. A PD-1 blockade (10 mg/kg) and a PI3Kγδ inhibitor (IPI145; 15 mg/kg) were then administered every other day for 2 weeks. Tumors from humanized PDX was sequenced to identify immune-related pathways and to profile infiltrated immune cells. Transcriptomic and clinical data were acquired from The Cancer Genome Atlas (TCGA) pan-cancer cohort, and the deconvolution algorithm was used to profile immune cellular distributions at certain levels (high vs. low) of PIK3Cand PIK3CD expression. Results: In the immune-competent syngenic 4T1 murine tumor model, PD-1 blockade alone led to tumor hyperprogression, whereas a three-pronged strategy of PI3Kγδ inhibitor, RT, and PD-1 blockade significantly delayed primary tumor growth, boosted abscopal effect, and improved animal survival. According to FACS analysis, RT significantly increased not only CD8+cytotoxic T-cell fractions but also immune-suppressive Tregcells, MDSCs, and M2 TAMs. However, PI3Kγδ inhibitor significantly lowered proportions of Treg, MDSCs, and M2 TAMs, achieving dramatic gains in splenic, nodal, and tumor CD8+ T-cell populations after triple combination therapy. There were significantly decreased tumor expressions of p-AKT, PD-L1, and HIF1α by PI3Kγδ inhibition. Triple combination therapy significantly delayed primary tumor growth in humanized PDX model as well and analyses of RNA sequencing data of humanized PDX samples showed decreased immune suppressive pathways with decreased and M2 macrophage and increased CD8+ T-cell by triple combination therapy. In the TCGA pan-cancer cohort, high Treg/CD8+T-cell and M2/M1 TAM ratios and poor overall patient survival was associated with high PIK3CG (PI3Kγ) or PIK3CD (PI3Kδ) gene expression. Conclusions: These findings collectively indicate that PI3Kγ and PI3Kδ are clinically relevant targets in an immunosuppressive TME. Combining PI3Kγδ inhibitor, RT, and PD-1 blockade may thus be a viable approach, helping to overcome the therapeutic resistance of immunologically cold tumors such as breast cancer.


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