scholarly journals High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3198
Author(s):  
Edith Willscher ◽  
Lydia Hopp ◽  
Markus Kreuz ◽  
Maria Schmidt ◽  
Siras Hakobyan ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Tumor Development ◽  
Treatment Resistance ◽  
Lower Grade ◽  
Cell Functions ◽  
Gene Level ◽  
Level Information ◽  
Diffuse Gliomas ◽  
Grade Ii ◽  
Immunogenic Properties

Molecular mechanisms of lower-grade (II–III) diffuse gliomas (LGG) are still poorly understood, mainly because of their heterogeneity. They split into astrocytoma- (IDH-A) and oligodendroglioma-like (IDH-O) tumors both carrying mutations(s) at the isocitrate dehydrogenase (IDH) gene and into IDH wild type (IDH-wt) gliomas of glioblastoma resemblance. We generated detailed maps of the transcriptomes and DNA methylomes, revealing that cell functions divided into three major archetypic hallmarks: (i) increased proliferation in IDH-wt and, to a lesser degree, IDH-O; (ii) increased inflammation in IDH-A and IDH-wt; and (iii) the loss of synaptic transmission in all subtypes. Immunogenic properties of IDH-A are diverse, partly resembling signatures observed in grade IV mesenchymal glioblastomas or in grade I pilocytic astrocytomas. We analyzed details of coregulation between gene expression and DNA methylation and of the immunogenic micro-environment presumably driving tumor development and treatment resistance. Our transcriptome and methylome maps support personalized, case-by-case views to decipher the heterogeneity of glioma states in terms of data portraits. Thereby, molecular cartography provides a graphical coordinate system that links gene-level information with glioma subtypes, their phenotypes, and clinical context.

scholarly journals Comprehensive Characterization of Tumor Purity and Its Clinical Implications in Gastric Cancer

2022 ◽  
Vol 9 ◽  
Author(s):  
Shenghan Lou ◽  
Jian Zhang ◽  
Xin Yin ◽  
Yao Zhang ◽  
Tianyi Fang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Molecular Mechanisms ◽  
Comprehensive Evaluation ◽  
Treatment Strategies ◽  
Treatment Resistance ◽  
Tumour Microenvironment ◽  
Tumour Cells ◽  
Patient Specific ◽  
Validity And Reliability ◽  
Cell Functions

Solid tumour tissues are composed of tumour and non-tumour cells, such as stromal cells and immune cells. These non-tumour cells constitute an essential part of the tumour microenvironment (TME), which decrease the tumour purity and play an important role in carcinogenesis, malignancy progression, treatment resistance and prognostic assessment. However, the implications of various purity levels in gastric cancer (GC) remain largely unknown. In the present study, we used an in-silico approach to infer the tumour purity of 2,259 GC samples obtained from our hospital and 12 public datasets based on the transcriptomic data. We systematically evaluated the association of tumour purity with clinical outcomes, biological features, TME characteristics and treatment response in GC. We found that tumour purity might be a patient-specific intrinsic characteristic of GC. Low tumour purity was independently correlated with shorter survival time and faster recurrence and significantly associated with mesenchymal, invasive and metastatic phenotypes. Integrating GC purity into a clinical prognostic nomogram significantly improved predictive validity and reliability. In addition, low tumour purity was strongly associated with immune and stromal cell functions. Fibroblasts, endothelial cells and monocytes were markedly enriched in low-purity tumours, serving as robust indicators of a poor prognosis. Moreover, patients with low GC purity may not benefit more from adjuvant chemotherapy. Our findings highlight that tumour purity confers important clinical, biological, microenvironmental and treatment implications for patients with GC. Therefore, a comprehensive evaluation of tumour purity in individual tumours can provide more insights into the molecular mechanisms of GC, facilitate precise classification and clinical prediction and help to develop more effective individualised treatment strategies.

scholarly journals Transcription Factors: The Fulcrum Between Cell Development and Carcinogenesis

2021 ◽  
Vol 11 ◽  
Author(s):  
Zeyaul Islam ◽  
Ameena Mohamed Ali ◽  
Adviti Naik ◽  
Mohamed Eldaw ◽  
Julie Decock ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Cell Fate ◽  
Cancer Progression ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Tumor Development ◽  
Treatment Resistance ◽  
Cell Development ◽  
Fate Decision ◽  
And Function

Higher eukaryotic development is a complex and tightly regulated process, whereby transcription factors (TFs) play a key role in controlling the gene regulatory networks. Dysregulation of these regulatory networks has also been associated with carcinogenesis. Transcription factors are key enablers of cancer stemness, which support the maintenance and function of cancer stem cells that are believed to act as seeds for cancer initiation, progression and metastasis, and treatment resistance. One key area of research is to understand how these factors interact and collaborate to define cellular fate during embryogenesis as well as during tumor development. This review focuses on understanding the role of TFs in cell development and cancer. The molecular mechanisms of cell fate decision are of key importance in efforts towards developing better protocols for directed differentiation of cells in research and medicine. We also discuss the dysregulation of TFs and their role in cancer progression and metastasis, exploring TF networks as direct or indirect targets for therapeutic intervention, as well as specific TFs’ potential as biomarkers for predicting and monitoring treatment responses.

NOB1: A Potential Biomarker or Target in Cancer

2019 ◽  
Vol 20 (10) ◽  
pp. 1081-1089
Author(s):  
Weiwei Ke ◽  
Zaiming Lu ◽  
Xiangxuan Zhao
Keyword(s):  
Cancer Treatment ◽  
Molecular Mechanisms ◽  
Rna Binding ◽  
Binding Protein ◽  
Tumor Development ◽  
Anticancer Therapy ◽  
Research Progress ◽  
Normal Tissues ◽  
Potential Biomarker

Human NIN1/RPN12 binding protein 1 homolog (NOB1), an RNA binding protein, is expressed ubiquitously in normal tissues such as the lung, liver, and spleen. Its core physiological function is to regulate protease activities and participate in maintaining RNA metabolism and stability. NOB1 is overexpressed in a variety of cancers, including pancreatic cancer, non-small cell lung cancer, ovarian cancer, prostate carcinoma, osteosarcoma, papillary thyroid carcinoma, colorectal cancer, and glioma. Although existing data indicate that NOB1 overexpression is associated with cancer growth, invasion, and poor prognosis, the molecular mechanisms behind these effects and its exact roles remain unclear. Several studies have confirmed that NOB1 is clinically relevant in different cancers, and further research at the molecular level will help evaluate the role of NOB1 in tumors. NOB1 has become an attractive target in anticancer therapy because it is overexpressed in many cancers and mediates different stages of tumor development. Elucidating the role of NOB1 in different signaling pathways as a potential cancer treatment will provide new ideas for existing cancer treatment methods. This review summarizes the research progress made into NOB1 in cancer in the past decade; this information provides valuable clues and theoretical guidance for future anticancer therapy by targeting NOB1.

Molecular Mechanisms of Resistance in Testicular Germ Cell Tumors - clinical Implications

2018 ◽  
Vol 18 (10) ◽  
pp. 967-978 ◽  
Author(s):  
Katarina Kalavska ◽  
Vincenza Conteduca ◽  
Ugo De Giorgi ◽  
Michal Mego
Keyword(s):  
Germ Cell ◽  
Molecular Mechanisms ◽  
Cisplatin Resistance ◽  
Apoptotic Cell ◽  
Germ Cell Tumors ◽  
Treatment Resistance ◽  
Experimental Models ◽  
Testicular Germ Cell Tumors ◽  
Testicular Germ Cell ◽  
Repair Capacity

Testicular germ cell tumors (TGCTs) represent the most common malignancy in men aged 15-35. Due to these tumors’ biological and clinical characteristics, they can serve as an appropriate system for studying molecular mechanisms associated with cisplatin-based treatment resistance. This review describes treatment resistance from clinical and molecular viewpoints. Cisplatin resistance is determined by various biological mechanisms, including the modulation of the DNA repair capacity of cancer cells, alterations to apoptotic cell death pathways, deregulation of gene expression pathways, epigenetic alterations and insufficient DNA binding. Moreover, this review describes TGCTs as a model system that enables the study of the cellular features of cancer stem cells in metastatic process and describes experimental models that can be used to study treatment resistance in TGCTs. All of the abovementioned aspects may help to elucidate the molecular mechanisms underlying cisplatin resistance and may help to identify promising new therapeutic targets.

scholarly journals Revising Endosomal Trafficking under Insulin Receptor Activation

2021 ◽  
Vol 22 (13) ◽  
pp. 6978
Author(s):  
Maria J. Iraburu ◽  
Tommy Garner ◽  
Cristina Montiel-Duarte
Keyword(s):  
Plasma Membrane ◽  
Tyrosine Kinase ◽  
Insulin Receptor ◽  
Molecular Mechanisms ◽  
Receptor Activation ◽  
Small Gtpases ◽  
Early Endosome ◽  
Tyrosine Kinase Receptors ◽  
Endosomal Trafficking ◽  
Cell Functions

The endocytosis of ligand-bound receptors and their eventual recycling to the plasma membrane (PM) are processes that have an influence on signalling activity and therefore on many cell functions, including migration and proliferation. Like other tyrosine kinase receptors (TKR), the insulin receptor (INSR) has been shown to be endocytosed by clathrin-dependent and -independent mechanisms. Once at the early endosome (EE), the sorting of the receptor, either to the late endosome (LE) for degradation or back to the PM through slow or fast recycling pathways, will determine the intensity and duration of insulin effects. Both the endocytic and the endosomic pathways are regulated by many proteins, the Arf and Rab families of small GTPases being some of the most relevant. Here, we argue for a specific role for the slow recycling route, whilst we review the main molecular mechanisms involved in INSR endocytosis, sorting and recycling, as well as their possible role in cell functions.

scholarly journals Sequential filtering for clinically relevant variants as a method for clinical interpretation of whole exome sequencing findings in glioma

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ege Ülgen ◽  
Özge Can ◽  
Kaya Bilguvar ◽  
Cemaliye Akyerli Boylu ◽  
Şirin Kılıçturgay Yüksel ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Clinical Analysis ◽  
Clinical Interpretation ◽  
Germline Variants ◽  
Whole Exome ◽  
Gene Level ◽  
Analysis Workflow ◽  
Tumor Mutational Burden ◽  
Diffuse Gliomas

Abstract Background In the clinical setting, workflows for analyzing individual genomics data should be both comprehensive and convenient for clinical interpretation. In an effort for comprehensiveness and practicality, we attempted to create a clinical individual whole exome sequencing (WES) analysis workflow, allowing identification of genomic alterations and presentation of neurooncologically-relevant findings. Methods The analysis workflow detects germline and somatic variants and presents: (1) germline variants, (2) somatic short variants, (3) tumor mutational burden (TMB), (4) microsatellite instability (MSI), (5) somatic copy number alterations (SCNA), (6) SCNA burden, (7) loss of heterozygosity, (8) genes with double-hit, (9) mutational signatures, and (10) pathway enrichment analyses. Using the workflow, 58 WES analyses from matched blood and tumor samples of 52 patients were analyzed: 47 primary and 11 recurrent diffuse gliomas. Results The median mean read depths were 199.88 for tumor and 110.955 for normal samples. For germline variants, a median of 22 (14–33) variants per patient was reported. There was a median of 6 (0–590) reported somatic short variants per tumor. A median of 19 (0–94) broad SCNAs and a median of 6 (0–12) gene-level SCNAs were reported per tumor. The gene with the most frequent somatic short variants was TP53 (41.38%). The most frequent chromosome-/arm-level SCNA events were chr7 amplification, chr22q loss, and chr10 loss. TMB in primary gliomas were significantly lower than in recurrent tumors (p = 0.002). MSI incidence was low (6.9%). Conclusions We demonstrate that WES can be practically and efficiently utilized for clinical analysis of individual brain tumors. The results display that NOTATES produces clinically relevant results in a concise but exhaustive manner.

scholarly journals DDRE-09. DEVELOPING IDO-PROTACS TO IMPROVE IMMUNOTHERAPEUTIC EFFICACY IN PATIENTS WITH GLIOBLASTOMA

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii63-ii63
Author(s):  
Lakshmi Bollu ◽  
Derek Wainwright ◽  
Lijie Zhai ◽  
Erik Ladomersky ◽  
Kristen Lauing ◽  
...  
Keyword(s):  
Protein Degradation ◽  
Time Course ◽  
Immune Cell ◽  
Enzyme Inhibitors ◽  
Tumor Development ◽  
Ubiquitin Proteasome System ◽  
Degradation Pathway ◽  
Specific Protein ◽  
Cell Functions

Abstract INTRODUCTION Indoleamine 2,3-dioxygenase 1 (IDO; IDO1) is a rate-limiting enzyme that metabolizes the essential amino acid tryptophan into kynurenine. Recent work by our group has revealed that IDO promotes tumor development and suppresses immune cell functions independent of its enzyme activity. Moreover, pharmacologic IDO enzyme inhibitors that currently serve as the only class of drugs available for targeting immunosuppressive IDO activity, fail to improve the survival of patients with GBM. Here, we developed IDO-Proteolysis Targeting Chimeras (IDO-PROTACs). PROTACs bind to a specific protein and recruit an E3 ubiquitin ligase that enhance proteasome-mediated degradation of the target protein. METHODS A library of ≥100 IDO-PROTACs were developed by joining BMS986205 (IDO binder) with a linker group to various E3-ligase ligands. Western blot analysis of PROTAC-induced IDO degradation was tested in vitro among multiple human and mouse GBM cell lines including U87, GBM6, GBM43 and GL261 along a time course ranging between 1–96 hours of treatment and at varying concentrations. The mechanism of IDO protein degradation was investigated using pharmacologic ligands that inhibit or compete with the proteasome-mediated protein degradation pathway. RESULTS Primary screening identified several IDO-PROTACs with IDO protein degradation potential. Secondary screening showed that our lead compound has a DC50 value of ~0.5µM with an ability to degrade IDO in all GBM cells analyzed, and an initial activity within 12 hours of treatment that extended for up to 96 hours. Mutating the CRBN-binding ligand, pretreatment with the ubiquitin proteasome system inhibitors MG132 or MLN4924 or using unmodified parental compound all inhibited IDO protein degradation. CONCLUSIONS This study developed an initial IDO-PROTAC technology that upon further optimization, can neutralize both IDO enzyme and non-enzyme immunosuppressive effects. When combined with other forms of immunotherapy, IDO-PROTACs have the potential to substantially enhance immunotherapeutic efficacy in patients with GBM.

scholarly journals Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Sergio Romera-Giner ◽  
Zoraida Andreu Martínez ◽  
Francisco García-García ◽  
Marta R. Hidalgo
Keyword(s):  
Molecular Mechanisms ◽  
Machine Learning Techniques ◽  
Alternative Activation ◽  
Survival Times ◽  
Major Health Problem ◽  
Lung Cancers ◽  
Cancer Data ◽  
Cell Functions ◽  
Cancer Pathogenesis ◽  
Tissue Of Origin

Abstract Background Cancer is a major health problem which presents a high heterogeneity. In this work we explore omics data from Breast, Kidney and Lung cancers at different levels as signalling pathways, functions and miRNAs, as part of the CAMDA 2019 Hi-Res Cancer Data Integration Challenge. Our goal is to find common functional patterns which give rise to the generic microenvironment in these cancers and contribute to a better understanding of cancer pathogenesis and a possible clinical translation down further studies. Results After a tumor versus normal tissue comparison of the signaling pathways and cell functions, we found 828 subpathways, 912 Gene Ontology terms and 91 Uniprot keywords commonly significant to the three studied tumors. Such features interestingly show the power to classify tumor samples into subgroups with different survival times, and predict tumor state and tissue of origin through machine learning techniques. We also found cancer-specific alternative activation subpathways, such as the ones activating STAT5A in ErbB signaling pathway. miRNAs evaluation show the role of miRNAs, such as mir-184 and mir-206, as regulators of many cancer pathways and their value in prognoses. Conclusions The study of the common functional and pathway activities of different cancers is an interesting approach to understand molecular mechanisms of the tumoral process regardless of their tissue of origin. The existence of platforms as the CAMDA challenges provide the opportunity to share knowledge and improve future scientific research and clinical practice.

scholarly journals Dynamic Stromal Alterations Influence Tumor-Stroma Crosstalk to Promote Pancreatic Cancer and Treatment Resistance

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3481
Author(s):  
Kendelle J. Murphy ◽  
Cecilia R. Chambers ◽  
David Herrmann ◽  
Paul Timpson ◽  
Brooke A. Pereira
Keyword(s):  
Pancreatic Cancer ◽  
Tumor Development ◽  
Treatment Resistance ◽  
Tumor Stroma ◽  
Response To Treatment ◽  
Ductal Adenocarcinoma ◽  
Cell Phenotype ◽  
Stromal Compartment ◽  
Clinical Prognosis ◽  
Functional Value

Many cancer studies now recognize that disease initiation, progression, and response to treatment are strongly influenced by the microenvironmental niche. Widespread desmoplasia, or fibrosis, is fundamental to pancreatic cancer development, growth, metastasis, and treatment resistance. This fibrotic landscape is largely regulated by cancer-associated fibroblasts (CAFs), which deposit and remodel extracellular matrix (ECM) in the tumor microenvironment (TME). This review will explore the prognostic and functional value of the stromal compartment in predicting outcomes and clinical prognosis in pancreatic ductal adenocarcinoma (PDAC). We will also discuss the major dynamic stromal alterations that occur in the pancreatic TME during tumor development and progression, and how the stromal ECM can influence cancer cell phenotype, metabolism, and immune response from a biochemical and biomechanical viewpoint. Lastly, we will provide an outlook on the latest clinical advances in the field of anti-fibrotic co-targeting in combination with chemotherapy or immunotherapy in PDAC, providing insight into the current challenges in treating this highly aggressive, fibrotic malignancy.

scholarly journals TAMI-07. THE IMMUNE MICROENVIRONMENT IN LOWER GRADE GLIOMAS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii214-ii214
Author(s):  
Anupam Kumar ◽  
Katharine Chen ◽  
Claudia Petritsch ◽  
Theodore Nicolaides ◽  
Mariarita Santi-Vicini ◽  
...  
Keyword(s):  
Immune Response ◽  
T Cells ◽  
Cd8 T Cells ◽  
Molecular Mechanisms ◽  
T Regulatory Cells ◽  
Immune Cell ◽  
T Cell Response ◽  
Cytotoxic T Cell ◽  
Lower Grade ◽  
Functional Relationships

Abstract The determinants of the tumor-associated immune response in brain tumors are poorly understood. Using tumor samples from two molecularly distinct subtypes of lower grade glioma, MAPK-driven glioma with biallelic inactivation of CDKN2A (n=30) and IDH-mutant, 1p/19q-intact astrocytoma (n=29), we demonstrate qualitative and quantitative differences in the tumor-associated immune response and we investigate the molecular mechanisms involved. Histologically the MAPK-driven gliomas were comprised of pleomorphic xanthoastrocytoma (PXA) (n=11) and anaplastic PXA (n=19). Seven patients had paired samples from two sequential surgeries. Immune cell populations and their activity were determined by quantitative multiplex immunostaining and Digital Spatial Profiling and gene expression was analyzed by Nanostring. Functional studies were performed using established cell lines and two new patient-derived lines from MAPK-driven LGGs. MAPK-driven tumors exhibited an increased number of CD8+ T cells and tumor-associated microglial/macrophage (TAMs), including CD163+ TAMs, as compared to IDH-mutant astrocytoma. In contrast, IDH-mutant tumors had increased FOXP3+ immunosuppressive T regulatory cells. Transcriptional and protein level analyses in MAPK-driven tumors suggested an active cytotoxic T cell response with robust expression of granzyme B, present on 27% of CD8+ T cells, increased MHC class I expression, and altered cytokine profiles. Interestingly, MAPK-driven tumors also had increased expression of immunosuppressive molecules, including CXCR4, PD-L1, and VEGFA. Expression differences for cell surface and secreted proteins were confirmed in patient-derived tumor lines and functional relationships between altered chemokine expression and immune cell infiltration was investigated. Our data provide novel insights into the immune contexture of MAPK driven LGGs and suggest MAPK driven gliomas with biallelic inactivation of CDKN2A may be particularly vulnerable to immunotherapeutic modulation

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