Single-cell profiling guided combinatorial immunotherapy for breast cancer resistance to Her2/neu and CDK4/6 targeted therapy
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ABSTRACT:
PROVIDER: PRJNA504662 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8176990_1.fastq.gz | Fastqsanger.gz | |||
| SRR8176990_2.fastq.gz | Fastqsanger.gz | |||
| SRR8177000_1.fastq.gz | Fastqsanger.gz | |||
| SRR8177000_2.fastq.gz | Fastqsanger.gz | |||
| SRR8176991_1.fastq.gz | Fastqsanger.gz |
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Project description:Trastuzumab (Herceptin™), a humanized monoclonal antibody targeting the extracellular domain of human epidermal growth factor receptor-2 (HER2), is one of the most successful examples of targeted therapies for HER2-positive breast cancer. However, drug resistance remains daunting challenges. New combinatorial regimen of CDK4/6 inhibitors plus trastuzumab is currently under active clinical investigations. In this study, we seek to prospectively model the in vivo response to CDK4/6 inhibitor Palbociclib (Pal) plus trastuzumab (Ab) using transgenic Her2/Neu mouse model in parallel with the current clinical trial scenario. We performed single cell RNA-seqencing (Drop-seq) to profile and compare tumor cells and infiltrated immune cells derived from control, Ab+Pal sensitive/residual (APS) and resistant/progressive (APR) tumors. We revealed that although Ab+Pal treatment enhanced antigen processing, presentation and interferon signaling on tumor cells, a distinct immunosuppressive immature myeloid cells (IMCs) infiltrated in the resistant tumor microenvironment to promote resistant phenotype. Based on single cell gene set enrichment analysis (profiling) guided drug screening, we identified and evaluated a combinatorial immunotherapy regimen. We found that combinatorial immunotherapy with receptor tyrosine kinase inhibitor Cabozantinib and immune checkpoint blockades overcome Ab+Pal resistance by inhibiting IMCs and enhancing anti-tumor immunity. Moreover, our rationally designed sequential combinatorial regimens enabled durable response and sustained controlling of the emergence of acquired resistance, thus significantly improved outcomes of rapidly evolving Her2/Neu positive breast cancers. Our results implicate that single-cell RNA sequencing profiling guided combinatorial immunotherapy as a strategy to mitigate the emergence of resistance and to achieve long-term therapeutic benefit merits clinical translation.
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Project description:HER2 / Neu is amplified and overexpressed in a large proportion of human breast cancers, but the signaling pathways that contribute to tumor development and metastatic progression are not completely understood. Using gene expression data and pathway signatures we predicted a role for activator E2F transcription factors in Neu induced tumors. This was genetically tested by interbreeding Neu transgenics with knockouts of the three activator E2Fs. Loss of any E2F delayed Neu induced tumor onset. E2F1 loss accelerated tumor growth while E2F2 and E2F3 loss did not. Strikingly, it was observed that loss of E2F1 or E2F2 significantly reduced the metastatic capacity of the tumor and this was associated with a reduction in circulating tumor cells in the E2F2 knockout. Gene expression analysis between the tumors in the various E2F mutant backgrounds revealed that there was extensive compensation by other E2F family members in the individual knockouts, underscoring the importance of the E2Fs in HER2 / Neu induced tumors. Extension to HER2 positive human breast cancer revealed a number of HER2+ subtypes based on E2F activity with differences in relapse free survival times. Taken together these data demonstrate that the E2F transcription factors are integral to HER2+ tumor development and progression.
2014-12-29 | GSE42533 | GEO
Project description:Breast cancer is a heterogeneous disease encompassing a number of phenotypically diverse tumours. Expression levels of the estrogen, progesterone and HER2/neu receptors which characterise clinically distinct breast tumors have been shown to change during disease progression and in response to systemic therapies. Mi(cro)RNAs play critical roles in diverse biological processes and are aberrantly expressed in several human neoplasms including breast cancer, where they function as regulators of tumour behaviour and progression. The aims of this study were to identify miRNA signatures that accurately predict the oestrogen receptor (ER), progesterone receptor (PR) and HER2/neu receptor status of breast cancer patients to provide insight into the regulation of breast cancer phenotypes and progression. Expression profiling of 353 microRNAs was performed in 29 early stage breast cancer specimens. MiRNA signatures associated with ER, PR and HER2/neu status were generated using artificial neural networks (ANN) and expression of specific microRNAs was validated using RQ-PCR. Results: Stepwise artificial neural network (ANN) analysis identified predictive miRNA signatures corresponding with estrogen (miR-342, miR-299, miR-217, miR -190, miR-135b, miR-218), progesterone (miR-520g, miR-377, miR-527-518a, miR-520f-520c) and HER2/neu (miR-520d, miR-181c, miR-302c, miR-376b, miR-30e) receptor status. MiR-342 and miR-520g expression was further analysed in 95 breast tumours. MiR-342 expression was highest in ER and HER2/neu positive luminal B tumours and lowest in triple-negative tumours. MiR-520g expression was elevated in ER and PR negative tumours.
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Project description:To identify early events of erbB2-induced mammary tumorigenesis, we compared datasets from 14 genechip experiments including MMTV-neu tumors, preneoplastic neu mammary gland (adjacent neu), and age-matched, wild-type control mammary glands Keywords = transgenic mouse Keywords = MMTV-neu Keywords = erbB2 Keywords = HER2 Keywords = mammary tumor Keywords: ordered
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Project description:Breast cancer is a heterogeneous disease encompassing a number of phenotypically diverse tumours. Expression levels of the estrogen, progesterone and HER2/neu receptors which characterise clinically distinct breast tumors have been shown to change during disease progression and in response to systemic therapies. Mi(cro)RNAs play critical roles in diverse biological processes and are aberrantly expressed in several human neoplasms including breast cancer, where they function as regulators of tumour behaviour and progression. The aims of this study were to identify miRNA signatures that accurately predict the oestrogen receptor (ER), progesterone receptor (PR) and HER2/neu receptor status of breast cancer patients to provide insight into the regulation of breast cancer phenotypes and progression.
2009-05-21 | GSE15885 | GEO
Project description:Cyclin Dependent Kinase 4/6 inhibitors induce transcription in breast tumors via FOXA1 chromatin binding. The use of Cyclin Dependent Kinase 4/6 inhibitors (CDK4/6i) induce transcription in breast tumors. The control mechanism of such genomic changes and their physiological relevance are not elucidated yet. Now, we identified chromatin activation of tumors treated with CDK4/6i. These chromatin changes induce an increase of HER2 expression and signaling. Mechanically, our study demonstrates that FOXA1 is a new substrate of CDK4 and that its phosphorylation limits the binding of FOXA1 to conventional chromatin regions. Moreover, when patients are treated with CDK4/6i, a dephosphorylated FOXA1 binds to additional chromatin regions. By doing so, FOXA1 leads to an increase of HER2 expression and of the activation of HER2-MEK-ERK pathway in breast cancer patients. Accordingly, we might envision a clinical benefit of adding antiHER2 therapy to delay development of resistance and therefore, to prolong PFS in patients yet receiving CDK4/6i.
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Project description:Purpose: We generated extensive transcriptional and proteomic profiles from a Her2-driven mouse model of breast cancer that closely recapitulates human breast cancer. This report makes these data publicly available in raw and processed forms, as a resource to the community. Importantly, we previously made biospecimens from this same mouse model freely available through a sample repository, so researchers can obtain samples to test biological hypotheses without the need of breeding animals and collecting biospecimens. Experimental design: Twelve datasets are available, encompassing 841 LC-MS/MS experiments (plasma and tissues) and 255 microarray analyses of multiple tissues (thymus, spleen, liver, blood cells, and breast). Cases and controls were rigorously paired to avoid bias. Results: In total, 18,880 unique peptides were identified (PeptideProphet peptide error rate â¤1%), with 3884 and 1659 non-redundant protein groups identified in plasma and tissue datasets, respectively. Sixty-one of these protein groups overlapped between cancer plasma and cancer tissue. Conclusions and clinical relevance: These data are of use for advancing our understanding of cancer biology, for software and quality control tool development, investigations of analytical variation in MS/MS data, and selection of proteotypic peptides for MRM-MS. The availability of these datasets will contribute positively to clinical proteomics. Custom Agilent 44K whole mouse genome expression oligonucleotide microarrays were used to profile breast tumors from three Her2/Neu mice compared to normal breast epithelium from two control mice transgenic for TetO-NeuNT only and littermates of the bitransgenic mice. All samples were laser-capture microdissected and total RNA isolated and amplified prior to hybridization against a reference pool of normal adult mouse tissues.
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Project description:Type I Interferons (IFN-I) are anti-viral and immuno-modulating cytokines involved in many steps across tumor initiation and progression. IFN-I act directly on tumor cells inhibiting cell growth and indirectly by activating immune cells to mount antitumor response. To understand the role of endogenous IFN-I in spontaneous, oncogene-driven carcinogenesis, we characterized tumors arising in Her2/neu transgenic (neuT) mice carrying a non-functional mutation in the IFN-I receptor (IFNAR1), thus being unresponsive to this family of cytokines. Compared to parental neu+/-mice (neuT mice), IFNAR1-/- neu+/- mice (IFNAR-neuT mice) showed earlier onset and increased tumor multiplicity with marked vascularization. Of note, IFNAR-neuT tumors specifically exhibited deregulation of genes having adverse prognostic value in breast cancer patients, including breast cancer stem cells (BCSC) marker aldehyde dehydrogenase-1A1 (ALDH1A1). An increased amount of BCSC was observed in IFNAR-neuT tumors, as assessed by ALDH1A1 enzymatic activity, clonogenic assay and tumorigenic capacity. In vitro exposure of neuT+ mammospheres and cell lines to anti-IFN-I antibodies resulted in increased frequency of ALDH+ cells, suggesting that IFN-I control stemness in tumor cells. Altogether, these results reveal an essential role of IFN-I in NeuT-driven spontaneous carcinogenesis through intrinsic control of BCSC.
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Project description:We identified a 17-gene Her2-enriched tumor initiating cell (HTIC) signature in MMTV-Her2/Neu mouse mammary TICs. Here, we show that patients with HTICS+ HER2+:ERα− tumors are more likely to achieve a pathologic complete response to trastuzumab-based neoadjuvant chemotherapy compared with HER2+:ER+ tumors.
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