scholarly journals Circadian Regulation Patterns With Distinct Immune Landscapes in Gliomas Aid in the Development of a Risk Model to Predict Prognosis and Therapeutic Response

2022 ◽  
Vol 12 ◽  
Author(s):  
Ruotong Tian ◽  
Yimin Li ◽  
Minfeng Shu
Keyword(s):  
Circadian Rhythm ◽  
Tumor Heterogeneity ◽  
Risk Model ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Principal Component ◽  
Immune Checkpoint Blockade ◽  
Glioma Patient ◽  
Suitable Treatment ◽  
Prognostic Prediction

Circadian disruption in tumorigenesis has been extensively studied, but how circadian rhythm (CR) affects the formation of tumor microenvironment (TME) and the crosstalk between TME and cancer cells is largely unknown, especially in gliomas. Herein, we retrospectively analyzed transcriptome data and clinical parameters of glioma patients from public databases to explore circadian rhythm-controlled tumor heterogeneity and characteristics of TME in gliomas. Firstly, we pioneered the construction of a CR gene set collated from five datasets and review literatures. Unsupervised clustering was used to identify two CR clusters with different CR patterns on the basis of the expression of CR genes. Remarkably, the CR cluster-B was characterized by enriched myeloid cells and activated immune-related pathways. Next, we applied principal component analysis to construct a CRscore to quantify CR patterns of individual tumors, and the function of the CRscore in prognostic prediction was further verified by univariate and multivariate regression analyses in combination with a nomogram. The CRscore could not only be an independent factor to predict prognosis of glioma patients but also guide patients to choose suitable treatment strategies: immunotherapy or chemotherapy. A glioma patient with a high CRscore might respond to immune checkpoint blockade, whereas one with a low CRscore could benefit from chemotherapy. In this study, we revealed that circadian rhythms modulated tumor heterogeneity, TME diversity, and complexity in gliomas. Evaluating the CRscore of an individual tumor would contribute to gaining a greater understanding of the tumor immune status of each patient, enhancing the accuracy of prognostic prediction, and suggesting more effective treatment options.

Integrated multi-omic analysis to reveal comprehensive tumor heterogeneity and novel immunophenotypic classification in primary liver cancer.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15662-e15662
Author(s):  
Qi Zhang ◽  
Yu Lou ◽  
Xueli Bai ◽  
Tingbo Liang
Keyword(s):  
Tumor Heterogeneity ◽  
Single Cell Analysis ◽  
Primary Liver Cancer ◽  
Treatment Strategies ◽  
Local Immunity ◽  
Expression Levels ◽  
Chain Reactions ◽  
Prognostic Prediction ◽  
Practice Methods

e15662 Background: Hepatocellular carcinoma (HCC) is heterogeneous,especially in multifocal tumors, which decreases the efficacy of clinical treatments. Understanding tumor heterogeneity is critical when developingnovel treatment strategies. However, a comprehensive investigation of tumor heterogeneity in HCC is lacking, and the available evidence regarding tumor heterogeneity has not ledto improvements inclinical practice. Methods: We harvested 42 samples from eight HCC patients and evaluatedtumor heterogeneity using whole-exome sequencing, RNA sequencing, mass spectrometry-based proteomics and metabolomics, cytometry by time-of-flight, and single-cell analysis. Immunohistochemistry and quantitative polymerase chain reactions (qPCRs) were performed to confirm the expression levels of genes. Results: Tumor heterogeneity is considerable with regard to the genomes, transcriptomes, proteomes, and metabolomes of lesions and tumors. The immune status oftheHCC microenvironment had a relatively low level of heterogeneity. Targeting local immunity could be a suitable intervention with balanced precision and practicability. By clustering immune cells in the HCC microenvironment, we identified three distinctive HCC subtypes with immunocompetent, immunodeficient, and immunosuppressive features. We further revealed the specific metabolic features and cytokine/chemokine expression levels of the different subtypes. Determiningthe expression levels of PTPRCand FOXP3using qPCR and immunohistochemistry in two independent HCC cohorts facilitated the correct classification of HCC patients and the prediction of their prognosis. Conclusions: There is comprehensive intratumoral and intertumoral heterogeneity inall dimensions ofHCC. Based on the results, we propose a novel immunophenotypic classification of HCCs that facilitates prognostic prediction and may support decision making with regard to the choice of therapy.

scholarly journals Competing risk model to determine the prognostic factors and treatment strategies for elderly patients with glioblastoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhuo-yi Liu ◽  
Song-shan Feng ◽  
Yi-hao Zhang ◽  
Li-yang Zhang ◽  
Sheng-chao Xu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Elderly Patients ◽  
Risk Model ◽  
Treatment Options ◽  
Treatment Strategies ◽  
The Elderly ◽  
Optimal Treatment ◽  
Competing Risk ◽  
Competing Risk Model ◽  
Related Mortality

AbstractThe prognostic factors and optimal treatment for the elderly patient with glioblastoma (GBM) were poorly understood. This study extracted 4975 elderly patients (≥ 65 years old) with histologically confirmed GBM from Surveillance, Epidemiology and End Results (SEER) database. Firstly, Cumulative incidence function and cox proportional model were utilized to illustrate the interference of non-GBM related mortality in our cohort. Then, the Fine-Gray competing risk model was applied to determine the prognostic factors for GBM related mortality. Age ≥ 75 years old, white race, size > 5.4 cm, frontal lobe tumor, and overlapping lesion were independently associated with more GBM related death, while Gross total resection (GTR) (HR 0.87, 95%CI 0.80–0.94, P = 0.010), radiotherapy (HR 0.64, 95%CI 0.55–0.74, P < 0.001), chemotherapy (HR 0.72, 95%CI 0.59–0.90, P = 0.003), and chemoRT (HR 0.43, 95%CI 0.38–0.48, P < 0.001) were identified as independently protective factors of GBM related death. Based on this, a corresponding nomogram was conducted to predict 3-, 6- and 12-month GBM related mortality, the C-index of which were 0.763, 0.718, and 0.694 respectively. The calibration curve showed that there was a good consistency between the predicted and the actual mortality probability. Concerning treatment options, GTR followed by chemoRT is suggested as optimal treatment. Radiotherapy and chemotherapy alone also provide moderate clinical benefits.

Using Naïve Bayes Algorithm to Estimate the Response to Drug in Lung Cancer Patients

2019 ◽  
Vol 21 (10) ◽  
pp. 734-748 ◽  
Author(s):  
Baoling Guo ◽  
Qiuxiang Zheng
Keyword(s):  
Lung Cancer ◽  
Side Effects ◽  
Cancer Patients ◽  
Drug Response ◽  
Treatment Options ◽  
Clinical Manifestations ◽  
Treatment Strategies ◽  
Cancer Resistance ◽  
Lung Cancer Patients ◽  
Bayes Algorithm

Aim and Objective: Lung cancer is a highly heterogeneous cancer, due to the significant differences in molecular levels, resulting in different clinical manifestations of lung cancer patients there is a big difference. Including disease characterization, drug response, the risk of recurrence, survival, etc. Method: Clinical patients with lung cancer do not have yet particularly effective treatment options, while patients with lung cancer resistance not only delayed the treatment cycle but also caused strong side effects. Therefore, if we can sum up the abnormalities of functional level from the molecular level, we can scientifically and effectively evaluate the patients' sensitivity to treatment and make the personalized treatment strategies to avoid the side effects caused by over-treatment and improve the prognosis. Result & Conclusion: According to the different sensitivities of lung cancer patients to drug response, this study screened out genes that were significantly associated with drug resistance. The bayes model was used to assess patient resistance.

scholarly journals Current Status of Human Papillomavirus-Related Head and Neck Cancer: From Viral Genome to Patient Care

2021 ◽  
Author(s):  
Haoru Dong ◽  
Xinhua Shu ◽  
Qiang Xu ◽  
Chen Zhu ◽  
Andreas M. Kaufmann ◽  
...  
Keyword(s):  
Human Papillomavirus ◽  
Head And Neck ◽  
Treatment Strategies ◽  
Hpv Infection ◽  
Immune Checkpoint Blockade ◽  
Current Status ◽  
Future Directions ◽  
Sequencing Technologies ◽  
E6 And E7 ◽  
The Continuum

AbstractHuman papillomavirus (HPV) infection identified as a definitive human carcinogen is increasingly being recognized for its role in carcinogenesis of human cancers. Up to 38%–80% of head and neck squamous cell carcinoma (HNSCC) in oropharyngeal location (OPSCC) and nearly all cervical cancers contain the HPV genome which is implicated in causing cancer through its oncoproteins E6 and E7. Given by the biologically distinct HPV-related OPSCC and a more favorable prognosis compared to HPV-negative tumors, clinical trials on de-escalation treatment strategies for these patients have been studied. It is therefore raised the questions for the patient stratification if treatment de-escalation is feasible. Moreover, understanding the crosstalk of HPV-mediated malignancy and immunity with clinical insights from the proportional response rate to immune checkpoint blockade treatments in patients with HNSCC is of importance to substantially improve the treatment efficacy. This review discusses the biology of HPV-related HNSCC as well as successful clinically findings with promising candidates in the pipeline for future directions. With the advent of various sequencing technologies, further biomolecules associated with HPV-related HNSCC progression are currently being identified to be used as potential biomarkers or targets for clinical decisions throughout the continuum of cancer care.

scholarly journals Molecular Subtypes and Precision Oncology in Intrahepatic Cholangiocarcinoma

2021 ◽  
Vol 10 (13) ◽  
pp. 2803
Author(s):  
Carolin Czauderna ◽  
Martha M. Kirstein ◽  
Hauke C. Tews ◽  
Arndt Vogel ◽  
Jens U. Marquardt
Keyword(s):  
Clinical Care ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Specific Treatment ◽  
Growth Factor Receptor ◽  
Treatment Modalities ◽  
Precision Oncology ◽  
Recurrence Rates ◽  
Isocitrate Dehydrogenase 1 ◽  
Liver Cancers

Cholangiocarcinomas (CCAs) are the second-most common primary liver cancers. CCAs represent a group of highly heterogeneous tumors classified based on anatomical localization into intra- (iCCA) and extrahepatic CCA (eCCA). In contrast to eCCA, the incidence of iCCA is increasing worldwide. Curative treatment strategies for all CCAs involve oncological resection followed by adjuvant chemotherapy in early stages, whereas chemotherapy is administered at advanced stages of disease. Due to late diagnosis, high recurrence rates, and limited treatment options, the prognosis of patients remains poor. Comprehensive molecular characterization has further revealed considerable heterogeneity and distinct prognostic and therapeutic traits for iCCA and eCCA, indicating that specific treatment modalities are required for different subclasses. Several druggable alterations and oncogenic drivers such as fibroblast growth factor receptor 2 gene fusions and hotspot mutations in isocitrate dehydrogenase 1 and 2 mutations have been identified. Specific inhibitors have demonstrated striking antitumor activity in affected subgroups of patients in phase II and III clinical trials. Thus, improved understanding of the molecular complexity has paved the way for precision oncological approaches. Here, we outline current advances in targeted treatments and immunotherapeutic approaches. In addition, we delineate future perspectives for different molecular subclasses that will improve the clinical care of iCCA patients.

scholarly journals Advances in Targeting Cutaneous Melanoma

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2090
Author(s):  
Dimitri Kasakovski ◽  
Marina Skrygan ◽  
Thilo Gambichler ◽  
Laura Susok
Keyword(s):  
Cutaneous Melanoma ◽  
Clinical Investigation ◽  
Early Stage ◽  
Treatment Options ◽  
Treatment Resistance ◽  
Immune Checkpoint Blockade ◽  
Oncolytic Viruses ◽  
Cancer Site ◽  
Western World ◽  
Pharmacological Agents

To date, the skin remains the most common cancer site among Caucasians in the western world. The complex, layered structure of human skin harbors a heterogenous population of specialized cells. Each cell type residing in the skin potentially gives rise to a variety of cancers, including non-melanoma skin cancer, sarcoma, and cutaneous melanoma. Cutaneous melanoma is known to exacerbate and metastasize if not detected at an early stage, with mutant melanomas tending to acquire treatment resistance over time. The intricacy of melanoma thus necessitates diverse and patient-centered targeted treatment options. In addition to classical treatment through surgical intervention and radio- or chemotherapy, several systemic and intratumoral immunomodulators, pharmacological agents (e.g., targeted therapies), and oncolytic viruses are trialed or have been recently approved. Moreover, utilizing combinations of immune checkpoint blockade with targeted, oncolytic, or anti-angiogenic approaches for patients with advanced disease progression are promising approaches currently under pre-clinical and clinical investigation. In this review, we summarize the current ‘state-of-the-art’ as well as discuss emerging agents and regimens in cutaneous melanoma treatment.

scholarly journals Neuroinflammation and the Kynurenine Pathway in CNS Disease: Molecular Mechanisms and Therapeutic Implications

Cells ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1548
Author(s):  
Mustafa N. Mithaiwala ◽  
Danielle Santana-Coelho ◽  
Grace A. Porter ◽  
Jason C. O’Connor
Keyword(s):  
Molecular Mechanisms ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Kynurenine Pathway ◽  
Economic Problem ◽  
Cns Disease ◽  
Therapeutic Implications ◽  
Efficacious Treatment ◽  
The Central Nervous System ◽  
Significant Health

Diseases of the central nervous system (CNS) remain a significant health, social and economic problem around the globe. The development of therapeutic strategies for CNS conditions has suffered due to a poor understanding of the underlying pathologies that manifest them. Understanding common etiological origins at the cellular and molecular level is essential to enhance the development of efficacious and targeted treatment options. Over the years, neuroinflammation has been posited as a common link between multiple neurological, neurodegenerative and neuropsychiatric disorders. Processes that precipitate neuroinflammatory conditions including genetics, infections, physical injury and psychosocial factors, like stress and trauma, closely link dysregulation in kynurenine pathway (KP) of tryptophan metabolism as a possible pathophysiological factor that ‘fuel the fire’ in CNS diseases. In this study, we aim to review emerging evidence that provide mechanistic insights between different CNS disorders, neuroinflammation and the KP. We provide a thorough overview of the different branches of the KP pertinent to CNS disease pathology that have therapeutic implications for the development of selected and efficacious treatment strategies.

scholarly journals Hitting the Bull’s-Eye: Mesothelin’s Role as a Biomarker and Therapeutic Target for Malignant Pleural Mesothelioma

Cancers ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 3932
Author(s):  
Dannel Yeo ◽  
Laura Castelletti ◽  
Nico van Zandwijk ◽  
John E. J. Rasko
Keyword(s):  
Malignant Pleural Mesothelioma ◽  
Treatment Options ◽  
Survival Rates ◽  
Treatment Strategies ◽  
Pleural Mesothelioma ◽  
Normal Tissues ◽  
Drug Conjugates ◽  
Aggressive Cancer ◽  
Immunotherapy Target ◽  
Bull's Eye

Malignant pleural mesothelioma (MPM) is an aggressive cancer with limited treatment options and poor prognosis. MPM originates from the mesothelial lining of the pleura. Mesothelin (MSLN) is a glycoprotein expressed at low levels in normal tissues and at high levels in MPM. Many other solid cancers overexpress MSLN, and this is associated with worse survival rates. However, this association has not been found in MPM, and the exact biological role of MSLN in MPM requires further exploration. Here, we discuss the current research on the diagnostic and prognostic value of MSLN in MPM patients. Furthermore, MSLN has become an attractive immunotherapy target in MPM, where better treatment strategies are urgently needed. Several MSLN-targeted monoclonal antibodies, antibody–drug conjugates, immunotoxins, cancer vaccines, and cellular therapies have been tested in the clinical setting. The biological rationale underpinning MSLN-targeted immunotherapies and their potential to improve MPM patient outcomes are reviewed.

scholarly journals B Cells and Antibodies as Targets of Therapeutic Intervention in Neuromyelitis Optica Spectrum Disorders

2021 ◽  
Vol 14 (1) ◽  
pp. 37
Author(s):  
Jan Traub ◽  
Leila Husseini ◽  
Martin S. Weber
Keyword(s):  
B Cells ◽  
Neuromyelitis Optica ◽  
Plasma Cells ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Therapeutic Interventions ◽  
Complement Factor ◽  
Major Subset ◽  
Spectrum Disorders

The first description of neuromyelitis optica by Eugène Devic and Fernand Gault dates back to the 19th century, but only the discovery of aquaporin-4 autoantibodies in a major subset of affected patients in 2004 led to a fundamentally revised disease concept: Neuromyelits optica spectrum disorders (NMOSD) are now considered autoantibody-mediated autoimmune diseases, bringing the pivotal pathogenetic role of B cells and plasma cells into focus. Not long ago, there was no approved medication for this deleterious disease and off-label therapies were the only treatment options for affected patients. Within the last years, there has been a tremendous development of novel therapies with diverse treatment strategies: immunosuppression, B cell depletion, complement factor antagonism and interleukin-6 receptor blockage were shown to be effective and promising therapeutic interventions. This has led to the long-expected official approval of eculizumab in 2019 and inebilizumab in 2020. In this article, we review current pathogenetic concepts in NMOSD with a focus on the role of B cells and autoantibodies as major contributors to the propagation of these diseases. Lastly, by highlighting promising experimental and future treatment options, we aim to round up the current state of knowledge on the therapeutic arsenal in NMOSD.

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