scholarly journals An Integrative Pan-Cancer Analysis Revealing ETS1 as an Oncogenic Immune Protein in Tumor Microenvironment

2021 ◽  
Author(s):  
zixuan Wu ◽  
Xuyan Huang ◽  
Min-jie Cai ◽  
Peidong Huang
Keyword(s):  
Cancer Immunotherapy ◽  
Immune Cell ◽  
Therapeutic Potential ◽  
Expression Patterns ◽  
Cancer Prognosis ◽  
Genetic Changes ◽  
Histocompatibility Complex ◽  
Survival Studies ◽  
The Relationship ◽  
Pan Cancer

Abstract BackgroundPrevious research revealed that ETS Proto-Oncogene 1, Transcription Factor (ETS1) might be useful in cancer immunotherapy. However, the processes underlying its therapeutic potential have yet to be thoroughly investigated. The goal of this work was to look into the association between ETS1 expression and immunity and depict its prognostic landscape in pan-cancer. MethodsThe TCGA provides raw data on 33 different types of cancer. GEO gave GSE67501, GSE78220, and IMvigor210. In addition, we looked at ETS1's genetic changes, expression patterns, and survival studies. The researchers investigated the links between ETS1 and the TME and its linkage to immunological processes/elements and the major histocompatibility complex better to understand the importance of ETS1 in cancer immunotherapy. Meanwhile, three distinct immunotherapeutic cohorts were employed to study the relationship between ETS1 and immunotherapeutic response. Finally, PPI analysis and functional gene enrichment were performed using GSEA. ResultsETS1 expression was shown to be higher in tumor tissue on average. Elevated ETS1 expression has been connected to a worse clinical outcome in patients with OS. ETS1 has been linked to immune cell infiltration, immunological modulators, and immunotherapeutic markers. Furthermore, increased ETS1 expression has been connected to immune-related pathways. However, there was no statistically significant link found between ETS1 and immunotherapeutic response. ConclusionsETS1 might be a biomarker for immune infiltration and poor cancer prognosis. It is possible that treatment targets should be researched further.

scholarly journals Immune Infiltration of MMP14 in Pan Cancer and Its Prognostic Effect on Tumors

2021 ◽  
Vol 11 ◽  
Author(s):  
Minde Li ◽  
Shaoyang Li ◽  
Lin Zhou ◽  
Le Yang ◽  
Xiao Wu ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Immune Checkpoint ◽  
Treatment Strategies ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Immune Infiltration ◽  
Tumor Prognosis ◽  
Checkpoint Genes ◽  
The Relationship ◽  
Pan Cancer

BackgroundMatrix metalloproteinase 14 (MMP14) is a member of the MMP family, which interacts with tissue inhibitors of metalloproteinase (TIMPs), and is involved in normal physiological functions such as cell migration, invasion, metastasis, angiogenesis, and proliferation, as well as tumor genesis and progression. However, there has been a lack of relevant reports on the effect of MMP14 across cancers. This study aims to explore the correlation between MMP14 and pan-cancer prognosis, immune infiltration, and the effects of pan-cancer gene mismatch repair (MMR), microsatellite instability (MSI), tumor mutational burden (TMB), DNA methylation, and immune checkpoint genes.MethodsIn this study, we used bioinformatics to analyze data from multiple databases, including The Cancer Genome Atlas (TCGA), ONCOMINE, and Kaplan–Meier plotter. We investigated the relationship between the expression of MMP14 in tumors and tumor prognosis, the relationship between MMP14 expression and tumor cell immune infiltration, and the relationship between MMR gene MMR, MSI, TMB, DNA methylation, and immune checkpoint genes.ResultsMMP14 expression is highly associated with the prognosis of a variety of cancers and tumor immune invasion and has important effects on pan oncologic MMR, MSI, TMB, DNA methylation, and immune checkpoint genes.ConclusionMMP14 is highly correlated with tumor prognosis and immune invasion and affects the occurrence and progression of many tumors. All of these results fully indicate that MMP14 may be a biomarker for the prognosis, diagnosis, and treatment of many tumors and provide new ideas and direction for subsequent tumor immune research and treatment strategies.

scholarly journals The Role of Peroxisome Proliferator-Activated Receptors (PPARs) in Pan-Cancer

PPAR Research ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
Runzhi Huang ◽  
Jiaqi Zhang ◽  
Mingxiao Li ◽  
Penghui Yan ◽  
Huabin Yin ◽  
...  
Keyword(s):  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Clinical Analysis ◽  
Peroxisome Proliferator ◽  
Purity Analysis ◽  
Peroxisome Proliferator Activated Receptors ◽  
Tumor Types ◽  
The Relationship ◽  
Pan Cancer

Peroxisome proliferator-activated receptors (PPARs) are members of nuclear transcription factors. The functions of the PPAR family (PPARA, PPARD, and PPARG) and their coactivators (PPARGC1A and PPARGC1B) in maintenance of lipid and glucose homeostasis have been unveiled. However, the roles of PPARs in cancer development remain elusive. In this work, we made use of 11,057 samples across 33 TCGA tumor types to analyze the relationship between PPAR transcriptional expression and tumorigenesis as well as drug sensitivity. We performed multidimensional analyses on PPARA, PPARG, PPARD, PPARGC1A, and PPARGC1B, including differential expression analysis in pan-cancer, immune subtype analysis, clinical analysis, tumor purity analysis, stemness correlation analysis, and drug responses. PPARs and their coactivators expressed differently in different types of cancers, in different immune subtypes. This analysis reveals various expression patterns of the PPAR family at a level of pan-cancer and provides new clues for the therapeutic strategies of cancer.

Молекулярная биология менингиом головного мозга

2017 ◽  
pp. 82-91
Author(s):  
В.А. Бывальцев ◽  
И.А. Степанов ◽  
Е.Г. Белых ◽  
А.И. Яруллина
Keyword(s):  
Gene Therapy ◽  
Proton Therapy ◽  
Genetic Factors ◽  
Intracranial Tumor ◽  
Molecular Profile ◽  
Genetic Changes ◽  
Treatment Techniques ◽  
Downstream Effects ◽  
Si Rna ◽  
The Relationship

Цель обзора - анализ современных данных литературы о нарушении внутриклеточных сигнальных путей, играющих ведущую роль в развитии менингиом, генетических и молекулярных профилях данной группы опухолей. К настоящему времени изучено множество аберрантных сигнальных внутриклеточных путей, которые играют важнейшую роль в развитии менингиом головного мозга. Четкое понимание поврежденных внутриклеточных каскадов поможет изучить влияние генетических мутаций и их эффектов на менингиомогенез. Подробное исследование генетического и молекулярного профиля менингиом позволит сделать первый уверенный шаг в разработке более эффективных методов лечения данной группы интракраниальных опухолей. Хромосомы 1, 10, 14, 22 и связанные с ними генные мутации ответственны за рост и прогрессию менингиом. Предполагается, что только через понимание данных генетических повреждений будут реализованы новейшие эффективные методы лечения. Будущая терапия будет включать в себя комбинации таргетных молекулярных агентов, в том числе генную терапию, малые интерферирующие РНК, протонную терапию и другие методы воздействия, как результат дальнейшего изучения генетических и биологических изменений, характерных для менингеальных опухолей. Meningiomas are by far the most common tumors arising from the meninges. A myriad of aberrant signaling pathways involved with meningioma tumorigenesis, have been discovered. Understanding these disrupted pathways will aid in deciphering the relationship between various genetic changes and their downstream effects on meningioma pathogenesis. An understanding of the genetic and molecular profile of meningioma would provide a valuable first step towards developing more effective treatments for this intracranial tumor. Chromosomes 1, 10, 14, 22, their associated genes, have been linked to meningioma proliferation and progression. It is presumed that through an understanding of these genetic factors, more educated meningioma treatment techniques can be implemented. Future therapies will include combinations of targeted molecular agents including gene therapy, si-RNA mediation, proton therapy, and other approaches as a result of continued progress in the understanding of genetic and biological changes associated with meningiomas.

Dysregulation of HOX as a Potential Therapeutic Target in Breast Cancer

2020 ◽  
Vol 27 ◽  
Author(s):  
Ji-Yeon Lee ◽  
Myoung Hee Kim
Keyword(s):  
Breast Cancer ◽  
Hox Genes ◽  
Therapeutic Potential ◽  
Expression Patterns ◽  
Genome Structure ◽  
Control Cell ◽  
Three Dimensional ◽  
Cellular Processes ◽  
Hox Protein

: HOX genes belong to the highly conserved homeobox superfamily, responsible for the regulation of various cellular processes that control cell homeostasis, from embryogenesis to carcinogenesis. The abnormal expression of HOX genes is observed in various cancers, including breast cancer; they act as oncogenes or as suppressors of cancer, according to context. In this review, we analyze HOX gene expression patterns in breast cancer and examine their relationship, based on the three-dimensional genome structure of the HOX locus. The presence of non-coding RNAs, embedded within the HOX cluster, and the role of these molecules in breast cancer have been reviewed. We further evaluate the characteristic activity of HOX protein in breast cancer and its therapeutic potential.

Integrating Bioinformatics Strategies in Cancer Immunotherapy: Current and Future Perspectives

2020 ◽  
Vol 23 (8) ◽  
pp. 687-698 ◽  
Author(s):  
Houda N. Washah ◽  
Elliasu Y. Salifu ◽  
Opeyemi Soremekun ◽  
Ahmed A. Elrashedy ◽  
Geraldene Munsamy ◽  
...  
Keyword(s):  
Cancer Immunotherapy ◽  
Therapeutic Potential ◽  
Cell Cancer ◽  
Full Potential ◽  
Future Perspectives ◽  
The Past ◽  
Bioinformatics Tools ◽  
Treatment Paradigm ◽  
Immunotherapy Of Cancer ◽  
Significant Attention

For the past few decades, the mechanisms of immune responses to cancer have been exploited extensively and significant attention has been given into utilizing the therapeutic potential of the immune system. Cancer immunotherapy has been established as a promising innovative treatment for many forms of cancer. Immunotherapy has gained its prominence through various strategies, including cancer vaccines, monoclonal antibodies (mAbs), adoptive T cell cancer therapy, and immune checkpoint therapy. However, the full potential of cancer immunotherapy is yet to be attained. Recent studies have identified the use of bioinformatics tools as a viable option to help transform the treatment paradigm of several tumors by providing a therapeutically efficient method of cataloging, predicting and selecting immunotherapeutic targets, which are known bottlenecks in the application of immunotherapy. Herein, we gave an insightful overview of the types of immunotherapy techniques used currently, their mechanisms of action, and discussed some bioinformatics tools and databases applied in the immunotherapy of cancer. This review also provides some future perspectives in the use of bioinformatics tools for immunotherapy.

The Therapeutic Potential of Chemokines in the Treatment of Chemotherapy- Induced Peripheral Neuropathy

2020 ◽  
Vol 21 (3) ◽  
pp. 288-301 ◽  
Author(s):  
Lin Zhou ◽  
Luyao Ao ◽  
Yunyi Yan ◽  
Wanting Li ◽  
Anqi Ye ◽  
...  
Keyword(s):  
Nervous System ◽  
Neuropathic Pain ◽  
Immune System ◽  
Peripheral Neuropathy ◽  
Immune Cell ◽  
Therapeutic Potential ◽  
Chemotherapeutic Agents ◽  
Cell Trafficking ◽  
Mediated Communication ◽  
Novel Therapeutic Strategies

Background: Some of the current challenges and complications of cancer therapy are chemotherapy- induced peripheral neuropathy (CIPN) and the neuropathic pain that are associated with this condition. Many major chemotherapeutic agents can cause neurotoxicity, significantly modulate the immune system and are always accompanied by various adverse effects. Recent evidence suggests that cross-talk occurs between the nervous system and the immune system during treatment with chemotherapeutic agents; thus, an emerging concept is that neuroinflammation is one of the major mechanisms underlying CIPN, as demonstrated by the upregulation of chemokines. Chemokines were originally identified as regulators of peripheral immune cell trafficking, and chemokines are also expressed on neurons and glial cells in the central nervous system. Objective: In this review, we collected evidence demonstrating that chemokines are potential mediators and contributors to pain signalling in CIPN. The expression of chemokines and their receptors, such as CX3CL1/CX3CR1, CCL2/CCR2, CXCL1/CXCR2, CXCL12/CXCR4 and CCL3/CCR5, is altered in the pathological conditions of CIPN, and chemokine receptor antagonists attenuate neuropathic pain behaviour. Conclusion: By understanding the mechanisms of chemokine-mediated communication, we may reveal chemokine targets that can be used as novel therapeutic strategies for the treatment of CIPN.

Mesenchymal Stem Cells Differentiation: Mitochondria Matter in Osteogenesis or Adipogenesis Direction

2020 ◽  
Vol 15 (7) ◽  
pp. 602-606
Author(s):  
Kun Ji ◽  
Ling Ding ◽  
Xi Chen ◽  
Yun Dai ◽  
Fangfang Sun ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Therapeutic Potential ◽  
Mesodermal Cell ◽  
Cell Lineages ◽  
Current Review ◽  
Differentiation Factors ◽  
The Relationship ◽  
Msc Differentiation

Mesenchymal Stem Cells (MSCs) exhibit enormous therapeutic potential because of their indispensable regenerative, reparative, angiogenic, anti-apoptotic, and immunosuppressive properties. MSCs can best differentiate into mesodermal cell lineages, including osteoblasts, adipocytes, muscle cells, endothelial cells and chondrocytes. Specific differentiation of MSCs could be induced through limited conditions. In addition to the relevant differentiation factors, drastic changes also occur in the microenvironment to conduct it in an optimal manner for particular differentiation. Recent evidence suggests that the mitochondria participate in the regulating of direction and process of MSCs differentiation. Therefore, our current review focuses on how mitochondria participate in both osteogenesis and adipogenesis of MSC differentiation. Besides that, in our current review, we try to provide a further understanding of the relationship between the behavior of mitochondria and the direction of MSC differentiation, which could optimize current cellular culturing protocols for further facilitating tissue engineering by adjusting specific conditions of stem cells.

scholarly journals Chromosomal copy number heterogeneity predicts survival rates across cancers

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Erik van Dijk ◽  
Tom van den Bosch ◽  
Kristiaan J. Lenos ◽  
Khalid El Makrini ◽  
Lisanne E. Nijman ◽  
...  
Keyword(s):  
Copy Number ◽  
Cancer Survival ◽  
Survival Rates ◽  
Cancer Prognosis ◽  
Disease Outcomes ◽  
Distinct Disease ◽  
Cancer Types ◽  
Chromosomal Copy Number ◽  
Chromosomal Copy ◽  
Pan Cancer

AbstractSurvival rates of cancer patients vary widely within and between malignancies. While genetic aberrations are at the root of all cancers, individual genomic features cannot explain these distinct disease outcomes. In contrast, intra-tumour heterogeneity (ITH) has the potential to elucidate pan-cancer survival rates and the biology that drives cancer prognosis. Unfortunately, a comprehensive and effective framework to measure ITH across cancers is missing. Here, we introduce a scalable measure of chromosomal copy number heterogeneity (CNH) that predicts patient survival across cancers. We show that the level of ITH can be derived from a single-sample copy number profile. Using gene-expression data and live cell imaging we demonstrate that ongoing chromosomal instability underlies the observed heterogeneity. Analysing 11,534 primary cancer samples from 37 different malignancies, we find that copy number heterogeneity can be accurately deduced and predicts cancer survival across tissues of origin and stages of disease. Our results provide a unifying molecular explanation for the different survival rates observed between cancer types.

scholarly journals PD-L1 Targeting Immune-Microbubble Complex Enhances Therapeutic Index in Murine Colon Cancer Models

2020 ◽  
Vol 14 (1) ◽  
pp. 6
Author(s):  
Daehyun Kim ◽  
Seung Soo Lee ◽  
Hyungwon Moon ◽  
So Yeon Park ◽  
Hak Jong Lee
Keyword(s):  
Cancer Immunotherapy ◽  
Focused Ultrasound ◽  
Therapeutic Potential ◽  
Checkpoint Inhibitors ◽  
Therapeutic Index ◽  
Treatment Regimens ◽  
Cancer Models ◽  
Programmed Death ◽  
Murine Colon ◽  
Cell Death Protein

Cancer immunotherapy has revolutionized the way different neoplasms are treated. Among the different variations of cancer immunotherapy, the checkpoint inhibitors targeting the programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) axis have been validated and are currently used in the clinics. Nevertheless, these therapeutic antibodies are associated with significant side effects and are known to induce immune-related toxicities. To address these issues, we have developed an immune-microbubble complex (IMC) which not only reduces the toxicities associated with the antibodies but also enhances the therapeutic efficacy when combined with focused ultrasound. The concept of IMCs could be applied to any type of antibody-based treatment regimens to maximize their therapeutic potential.

scholarly journals Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 996
Author(s):  
Ana Carolina Pavanelli ◽  
Flavia Rotea Mangone ◽  
Luciana R. C. Barros ◽  
Juliana Machado-Rugolo ◽  
Vera L. Capelozzi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Predictive Value ◽  
Expression Patterns ◽  
Survival Rates ◽  
In Silico Analysis ◽  
Cancer Prognosis ◽  
Response To Treatment ◽  
Breast Cancer Patients ◽  
Non Coding Rnas

Abnormal long non-coding RNAs (lncRNAs) expression has been documented to have oncogene or tumor suppressor functions in the development and progression of cancer, emerging as promising independent biomarkers for molecular cancer stratification and patients’ prognosis. Examining the relationship between lncRNAs and the survival rates in malignancies creates new scenarios for precision medicine and targeted therapy. Breast cancer (BRCA) is a heterogeneous malignancy. Despite advances in its molecular classification, there are still gaps to explain in its multifaceted presentations and a substantial lack of biomarkers that can better predict patients’ prognosis in response to different therapeutic strategies. Here, we performed a re-analysis of gene expression data generated using cDNA microarrays in a previous study of our group, aiming to identify differentially expressed lncRNAs (DELncRNAs) with a potential predictive value for response to treatment with taxanes in breast cancer patients. Results revealed 157 DELncRNAs (90 up- and 67 down-regulated). We validated these new biomarkers as having prognostic and predictive value for breast cancer using in silico analysis in public databases. Data from TCGA showed that compared to normal tissue, MIAT was up-regulated, while KCNQ1OT1, LOC100270804, and FLJ10038 were down-regulated in breast tumor tissues. KCNQ1OT1, LOC100270804, and FLJ10038 median levels were found to be significantly higher in the luminal subtype. The ROC plotter platform results showed that reduced expression of these three DElncRNAs was associated with breast cancer patients who did not respond to taxane treatment. Kaplan–Meier survival analysis revealed that a lower expression of the selected lncRNAs was significantly associated with worse relapse-free survival (RFS) in breast cancer patients. Further validation of the expression of these DELncRNAs might be helpful to better tailor breast cancer prognosis and treatment.

Sign in / Sign up

Export Citation Format

Share Document