| 1. |
- Costa, Tânia D F, et al.
(författare)
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PAK4 suppresses RELB to prevent senescence-like growth arrest in breast cancer
- 2019
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Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 1-18
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Tidskriftsartikel (refereegranskat)abstract
- Overcoming cellular growth restriction, including the evasion of cellular senescence, is a hallmark of cancer. We report that PAK4 is overexpressed in all human breast cancer subtypes and associated with poor patient outcome. In mice, MMTV-PAK4 overexpression promotes spontaneous mammary cancer, while PAK4 gene depletion delays MMTV-PyMT driven tumors. Importantly, PAK4 prevents senescence-like growth arrest in breast cancer cells in vitro, in vivo and ex vivo, but is not needed in non-immortalized cells, while PAK4 overexpression in untransformed human mammary epithelial cells abrogates H-RAS-V12-induced senescence. Mechanistically, a PAK4 - RELB - C/EBPβ axis controls the senescence-like growth arrest and a PAK4 phosphorylation residue (RELB-Ser151) is critical for RELB-DNA interaction, transcriptional activity and expression of the senescence regulator C/EBPβ. These findings establish PAK4 as a promoter of breast cancer that can overcome oncogene-induced senescence and reveal a selective vulnerability of cancer to PAK4 inhibition.
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| 2. |
- Foukakis, Theodoros, et al.
(författare)
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Immune gene expression and response to chemotherapy in advanced breast cancer
- 2018
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Ingår i: British Journal of Cancer. - : Springer Science and Business Media LLC. - 0007-0920 .- 1532-1827. ; 118:4, s. 480-488
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Tidskriftsartikel (refereegranskat)abstract
- Background:Transcriptomic profiles have shown promise as predictors of response to neoadjuvant chemotherapy in breast cancer (BC). This study aimed to explore their predictive value in the advanced BC (ABC) setting.Methods:In a Phase 3 trial of first-line chemotherapy in ABC, a fine needle aspiration biopsy (FNAB) was obtained at baseline. Intrinsic molecular subtypes and gene modules related to immune response, proliferation, oestrogen receptor (ER) signalling and recurring genetic alterations were analysed for association with objective response to chemotherapy. Gene-set enrichment analysis (GSEA) of responders vs non-responders was performed independently. Lymphocytes were enumerated in FNAB smears and the absolute abundance of immune cell types was calculated using the Microenvironment Cell Populations counter method.Results:Gene expression data were available for 109 patients. Objective response to chemotherapy was statistically significantly associated with an immune module score (odds ratio (OR)=1.62; 95% confidence interval (CI), 1.03-2.64; P=0.04). Subgroup analysis showed that this association was restricted to patients with ER-positive or luminal tumours (OR=3.54; 95%, 1.43-10.86; P=0.012 and P for interaction=0.04). Gene-set enrichment analysis confirmed that in these subgroups, immune-related gene sets were enriched in responders.Conclusions:Immune-related transcriptional signatures may predict response to chemotherapy in ER-positive and luminal ABC.
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| 3. |
- Lorent, Julie
(författare)
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Coordination of gene expression programs
- 2020
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Most cellular processes depend on the activity and interactions of proteins. The proteome, i.e. the entire set of proteins in a specific condition, is shaped by regulation of transcription, mRNA-degradation, -processing, -storage, -translation and protein degradation. Cancer cells are known to highjack gene expression processes, including the translation machinery, for their growth and survival. This occurs as a result of converging oncogenic signaling pathways which impinge on translation factors to selectively modulate synthesis of cancer-related proteins. Our understanding of mechanisms by which oncogenic pathways dynamically control their targets' translational activity is limited and could be extended by transcriptome-wide studies of changes in translation efficiency. In Paper I, we developed anota2seq which allows for statistical analysis of such data. Using a simulation approach, we showed that anota2seq constitutes an improvement compared to other methods for identification of genes under translational regulation. The relative contribution of transcriptional and translational regulation to proteome modulation has been extensively debated. This raises the interest in studies integrating data on multiple levels of gene expression regulation. In Paper II, we study the role of estrogen receptor alpha (ERα), a transcription factor that is commonly targeted in hormone-dependent cancers, in coordinating transcriptional alterations with control at the level of translation. Upon ERα depletion in a prostate cancer model, we observed massive translational offsetting whereby the translational output remains unchanged despite changes in mRNA levels. To characterize mechanisms underlying translational offsetting, we extended the scope of the anota2seq method (Paper I) to also identify genes regulated by this underappreciated mode of gene expression regulation. Next, our detailed mechanistic study revealed that upon ERα depletion, mRNAs whose levels are reduced but translationally offset have less structured 5'UTRs and are devoid of miRNA target sites and thus cannot be influenced by such translational repressors. In contrast, transcripts which were upregulated but offset at the level of translation are enriched in codons requiring U34-modified tRNAs for their translation. We finally demonstrated that ERα impacts the levels of such modified tRNAs. Cancer is a highly heterogeneous disease. In our studies of translational control, we are reaching the limits of reasonable inference when extending conclusions from experiments in cell lines into clinical settings. However, experimental methods to quantify translatomes such as polysome-profiling, are not suitable for samples with low RNA input such as tissue samples from cancer patients. Paper III presents an optimization of the polysome-profiling method, compares it with the classical approach and validates that this new approach is suitable to study novel mechanisms regulating mRNA translation in large collections of tissue samples.
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| 4. |
- Mao, Yumeng, et al.
(författare)
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IL-15 activates mTOR and primes stress-activated gene expression leading to prolonged antitumor capacity of NK cells
- 2016
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Ingår i: Blood. - : AMER SOC HEMATOLOGY. - 0006-4971 .- 1528-0020. ; 128:11, s. 1475-1489
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Tidskriftsartikel (refereegranskat)abstract
- Treatment of hematological malignancies by adoptive transfer of activated natural killer (NK) cells is limited by poor postinfusion persistence. We compared the ability of interleukin-2 (IL-2) and IL-15 to sustain human NK-cell functions following cytokine withdrawal to model postinfusion performance. In contrast to IL-2, IL-15 mediated stronger signaling through the IL-2/15 receptor complex and provided cell function advantages. Genome-wide analysis of cytosolic and polysome-associated messenger RNA (mRNA) revealed not only cytokine-dependent differential mRNA levels and translation during cytokine activation but also that most gene expression differences were primed by IL-15 and only manifested after cytokine withdrawal. IL-15 augmented mammalian target of rapamycin (mTOR) signaling, which correlated with increased expression of genes related to cell metabolism and respiration. Consistently, mTOR inhibition abrogated IL-15-induced cell function advantages. Moreover, mTOR-independent STAT-5 signaling contributed to improved NK-cell function during cytokine activation but not following cytokine withdrawal. The superior performance of IL-15-stimulated NK cells was also observed using a clinically applicable protocol for NK-cell expansion in vitro and in vivo. Finally, expression of IL-15 correlated with cytolytic immune functions in patients with B-cell lymphoma and favorable clinical outcome. These findings highlight the importance of mTOR-regulated metabolic processes for immune cell functions and argue for implementation of IL-15 in adoptive NK-cell cancer therapy.
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| 5. |
- Ronnberg, Elin, et al.
(författare)
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Analysis of human lung mast cells by single cell RNA sequencing
- 2023
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Ingår i: Frontiers in Immunology. - : Frontiers Media S.A.. - 1664-3224. ; 14
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Tidskriftsartikel (refereegranskat)abstract
- Mast cells are tissue-resident cells playing major roles in homeostasis and disease conditions. Lung mast cells are particularly important in airway inflammatory diseases such as asthma. Human mast cells are classically divided into the subsets MCT and MCTC, where MCT express the mast cell protease tryptase and MCTC in addition express chymase, carboxypeptidase A3 (CPA3) and cathepsin G. Apart from the disctintion of the MCT and MCTC subsets, little is known about the heterogeniety of human lung mast cells and a deep analysis of their heterogeniety has previously not been performed. We therefore performed single cell RNA sequencing on sorted human lung mast cells using SmartSeq2. The mast cells showed high expression of classical mast cell markers. The expression of several individual genes varied considerably among the cells, however, no subpopulations were detected by unbiased clustering. Variable genes included the protease-encoding transcripts CMA1 (chymase) and CTSG (cathepsin G). Human lung mast cells are predominantly of the MCT subset and consistent with this, the expression of CMA1 was only detectable in a small proportion of the cells, and correlated moderately to CTSG. However, in contrast to established data for the protein, CPA3 mRNA was high in all cells and the correlation of CPA3 to CMA1 was weak.
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