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1.
Nat Commun ; 14(1): 120, 2023 01 09.
Artigo em Inglês | MEDLINE | ID: mdl-36624093

RESUMO

IRE1α-XBP1 signaling is emerging as a central orchestrator of malignant progression and immunosuppression in various cancer types. Employing a computational XBP1s detection method applied to TCGA datasets, we demonstrate that expression of the XBP1s mRNA isoform predicts poor survival in non-small cell lung cancer (NSCLC) patients. Ablation of IRE1α in malignant cells delays tumor progression and extends survival in mouse models of NSCLC. This protective effect is accompanied by alterations in intratumoral immune cell subsets eliciting durable adaptive anti-cancer immunity. Mechanistically, cancer cell-intrinsic IRE1α activation sustains mPGES-1 expression, enabling production of the immunosuppressive lipid mediator prostaglandin E2. Accordingly, restoring mPGES-1 expression in IRE1αKO cancer cells rescues normal tumor progression. We have developed an IRE1α gene signature that predicts immune cell infiltration and overall survival in human NSCLC. Our study unveils an immunoregulatory role for cancer cell-intrinsic IRE1α activation and suggests that targeting this pathway may help enhance anti-tumor immunity in NSCLC.


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Endorribonucleases , Neoplasias Pulmonares , Proteínas Serina-Treonina Quinases , Animais , Humanos , Camundongos , Carcinoma Pulmonar de Células não Pequenas/genética , Endorribonucleases/genética , Endorribonucleases/metabolismo , Neoplasias Pulmonares/genética , Proteínas Serina-Treonina Quinases/genética , Proteínas Serina-Treonina Quinases/metabolismo , Transdução de Sinais , Proteína 1 de Ligação a X-Box/genética , Proteína 1 de Ligação a X-Box/metabolismo
2.
Nature ; 562(7727): 423-428, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-30305738

RESUMO

Tumours evade immune control by creating hostile microenvironments that perturb T cell metabolism and effector function1-4. However, it remains unclear how intra-tumoral T cells integrate and interpret metabolic stress signals. Here we report that ovarian cancer-an aggressive malignancy that is refractory to standard treatments and current immunotherapies5-8-induces endoplasmic reticulum stress and activates the IRE1α-XBP1 arm of the unfolded protein response9,10 in T cells to control their mitochondrial respiration and anti-tumour function. In T cells isolated from specimens collected from patients with ovarian cancer, upregulation of XBP1 was associated with decreased infiltration of T cells into tumours and with reduced IFNG mRNA expression. Malignant ascites fluid obtained from patients with ovarian cancer inhibited glucose uptake and caused N-linked protein glycosylation defects in T cells, which triggered IRE1α-XBP1 activation that suppressed mitochondrial activity and IFNγ production. Mechanistically, induction of XBP1 regulated the abundance of glutamine carriers and thus limited the influx of glutamine that is necessary to sustain mitochondrial respiration in T cells under glucose-deprived conditions. Restoring N-linked protein glycosylation, abrogating IRE1α-XBP1 activation or enforcing expression of glutamine transporters enhanced mitochondrial respiration in human T cells exposed to ovarian cancer ascites. XBP1-deficient T cells in the metastatic ovarian cancer milieu exhibited global transcriptional reprogramming and improved effector capacity. Accordingly, mice that bear ovarian cancer and lack XBP1 selectively in T cells demonstrate superior anti-tumour immunity, delayed malignant progression and increased overall survival. Controlling endoplasmic reticulum stress or targeting IRE1α-XBP1 signalling may help to restore the metabolic fitness and anti-tumour capacity of T cells in cancer hosts.


Assuntos
Endorribonucleases/metabolismo , Mitocôndrias/metabolismo , Neoplasias Ovarianas/imunologia , Proteínas Serina-Treonina Quinases/metabolismo , Linfócitos T/citologia , Linfócitos T/imunologia , Proteína 1 de Ligação a X-Box/metabolismo , Sistemas de Transporte de Aminoácidos Básicos , Animais , Ascite/metabolismo , Respiração Celular , Progressão da Doença , Estresse do Retículo Endoplasmático , Feminino , Regulação Neoplásica da Expressão Gênica , Glucose/metabolismo , Glutamina/metabolismo , Glicosilação , Humanos , Interferon gama/biossíntese , Interferon gama/genética , Camundongos , Metástase Neoplásica , Transplante de Neoplasias , Neoplasias Ovarianas/patologia , Transdução de Sinais , Taxa de Sobrevida , Linfócitos T/metabolismo , Evasão Tumoral/imunologia , Resposta a Proteínas não Dobradas , Proteína 1 de Ligação a X-Box/biossíntese , Proteína 1 de Ligação a X-Box/deficiência
3.
Cancer Res ; 77(21): e111-e114, 2017 11 01.
Artigo em Inglês | MEDLINE | ID: mdl-29092953

RESUMO

Vast amounts of molecular data are being collected on tumor samples, which provide unique opportunities for discovering trends within and between cancer subtypes. Such cross-cancer analyses require computational methods that enable intuitive and interactive browsing of thousands of samples based on their molecular similarity. We created a portal called TumorMap to assist in exploration and statistical interrogation of high-dimensional complex "omics" data in an interactive and easily interpretable way. In the TumorMap, samples are arranged on a hexagonal grid based on their similarity to one another in the original genomic space and are rendered with Google's Map technology. While the important feature of this public portal is the ability for the users to build maps from their own data, we pre-built genomic maps from several previously published projects. We demonstrate the utility of this portal by presenting results obtained from The Cancer Genome Atlas project data. Cancer Res; 77(21); e111-4. ©2017 AACR.


Assuntos
Biologia Computacional/métodos , Genômica/métodos , Neoplasias/genética , Software , Mapeamento Cromossômico/métodos , Redes Reguladoras de Genes/genética , Predisposição Genética para Doença/genética , Genoma Humano/genética , Humanos , Mutação , Neoplasias/patologia , Reprodutibilidade dos Testes , Interface Usuário-Computador
4.
Cell Syst ; 5(5): 485-497.e3, 2017 11 22.
Artigo em Inglês | MEDLINE | ID: mdl-28988802

RESUMO

We report the results of a DREAM challenge designed to predict relative genetic essentialities based on a novel dataset testing 98,000 shRNAs against 149 molecularly characterized cancer cell lines. We analyzed the results of over 3,000 submissions over a period of 4 months. We found that algorithms combining essentiality data across multiple genes demonstrated increased accuracy; gene expression was the most informative molecular data type; the identity of the gene being predicted was far more important than the modeling strategy; well-predicted genes and selected molecular features showed enrichment in functional categories; and frequently selected expression features correlated with survival in primary tumors. This study establishes benchmarks for gene essentiality prediction, presents a community resource for future comparison with this benchmark, and provides insights into factors influencing the ability to predict gene essentiality from functional genetic screens. This study also demonstrates the value of releasing pre-publication data publicly to engage the community in an open research collaboration.


Assuntos
Expressão Gênica/genética , Genes Essenciais/genética , Algoritmos , Linhagem Celular Tumoral , Genômica/métodos , Humanos , RNA Interferente Pequeno/genética
5.
Cell ; 161(7): 1527-38, 2015 Jun 18.
Artigo em Inglês | MEDLINE | ID: mdl-26073941

RESUMO

Dendritic cells (DCs) are required to initiate and sustain T cell-dependent anti-cancer immunity. However, tumors often evade immune control by crippling normal DC function. The endoplasmic reticulum (ER) stress response factor XBP1 promotes intrinsic tumor growth directly, but whether it also regulates the host anti-tumor immune response is not known. Here we show that constitutive activation of XBP1 in tumor-associated DCs (tDCs) drives ovarian cancer (OvCa) progression by blunting anti-tumor immunity. XBP1 activation, fueled by lipid peroxidation byproducts, induced a triglyceride biosynthetic program in tDCs leading to abnormal lipid accumulation and subsequent inhibition of tDC capacity to support anti-tumor T cells. Accordingly, DC-specific XBP1 deletion or selective nanoparticle-mediated XBP1 silencing in tDCs restored their immunostimulatory activity in situ and extended survival by evoking protective type 1 anti-tumor responses. Targeting the ER stress response should concomitantly inhibit tumor growth and enhance anti-cancer immunity, thus offering a unique approach to cancer immunotherapy.


Assuntos
Proteínas de Ligação a DNA/metabolismo , Células Dendríticas/patologia , Estresse do Retículo Endoplasmático , Neoplasias Ovarianas/imunologia , Neoplasias Ovarianas/patologia , Fatores de Transcrição/metabolismo , Animais , Feminino , Humanos , Peroxidação de Lipídeos , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Transgênicos , Fatores de Transcrição de Fator Regulador X , Linfócitos T/imunologia , Proteína 1 de Ligação a X-Box
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