scholarly journals CDK4/6 and MAPK—Crosstalk as Opportunity for Cancer Treatment

2020 ◽  
Vol 13 (12) ◽  
pp. 418
Author(s):  
Lisa Scheiblecker ◽  
Karoline Kollmann ◽  
Veronika Sexl
Keyword(s):  
Cell Cycle ◽  
Disease Resistance ◽  
Protein Kinases ◽  
Targeted Therapies ◽  
Alternative Treatment ◽  
Mapk Pathway ◽  
Treatment Options ◽  
Resistance Mechanisms ◽  
Cancer Types ◽  
Cell Cycle Kinase

Despite the development of targeted therapies and novel inhibitors, cancer remains an undefeated disease. Resistance mechanisms arise quickly and alternative treatment options are urgently required, which may be partially met by drug combinations. Protein kinases as signaling switchboards are frequently deregulated in cancer and signify vulnerable nodes and potential therapeutic targets. We here focus on the cell cycle kinase CDK6 and on the MAPK pathway and on their interplay. We also provide an overview on clinical studies examining the effects of combinational treatments currently explored for several cancer types.

scholarly journals Targeted Therapies in Cancer: To Be or Not to Be, Selective

Biomedicines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1591
Author(s):  
Skye Montoya ◽  
Deborah Soong ◽  
Nina Nguyen ◽  
Maurizio Affer ◽  
Sailasya P. Munamarty ◽  
...  
Keyword(s):  
Targeted Therapies ◽  
Drug Exposure ◽  
Kinase Inhibitors ◽  
De Novo ◽  
Treatment Options ◽  
Sequential Therapy ◽  
Oncogenic Signaling ◽  
Multikinase Inhibitor ◽  
Cancer Types ◽  
Goal Understanding

Development of targeted therapies in recent years revealed several nonchemotherapeutic options for patients. Chief among targeted therapies is small molecule kinase inhibitors targeting key oncogenic signaling proteins. Through competitive and noncompetitive inhibition of these kinases, and therefore the pathways they activate, cancers can be slowed or completely eradicated, leading to partial or complete remissions for many cancer types. Unfortunately, for many patients, resistance to targeted therapies, such as kinase inhibitors, ultimately develops and can necessitate multiple lines of treatment. Drug resistance can either be de novo or acquired after months or years of drug exposure. Since resistance can be due to several unique mechanisms, there is no one-size-fits-all solution to this problem. However, combinations that target complimentary pathways or potential escape mechanisms appear to be more effective than sequential therapy. Combinations of single kinase inhibitors or alternately multikinase inhibitor drugs could be used to achieve this goal. Understanding how to efficiently target cancer cells and overcome resistance to prior lines of therapy became imperative to the success of cancer treatment. Due to the complexity of cancer, effective treatment options in the future will likely require mixing and matching these approaches in different cancer types and different disease stages.

scholarly journals Landscape of Current Targeted Therapies for Advanced Colorectal Cancer

2021 ◽  
Author(s):  
Ana João Pissarra ◽  
Catarina Abreu ◽  
André Mansinho ◽  
Ana Lúcia Costa ◽  
Sara Dâmaso ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Metastatic Disease ◽  
Targeted Therapies ◽  
High Throughput Sequencing ◽  
Checkpoint Inhibitors ◽  
Treatment Options ◽  
Her2 Overexpression ◽  
Braf Mutations ◽  
Therapeutic Landscape ◽  
Cancer Types

Colorectal cancer (CRC) is one of the most frequent and lethal cancer types worldwide. While surgery with chemotherapy and radiotherapy remains the only curative approach for localized CRC, for metastatic disease the therapeutic landscape has significantly evolved over the last years. Development and approval of novel targeted therapies, such as monoclonal antibodies against EGFR and VEGF, have significantly increased the median survival of patients with metastatic disease, with some trials reporting a benefit over 40 months. Increasing accessibility of high throughput sequencing has unraveled several new therapeutic targets. Actionable alterations, such as HER2 overexpression, BRAF mutations, and NTRK fusions, are currently available in metastatic disease, providing significant therapeutic opportunities for these patients, while new emerging agents, as immune checkpoint inhibitors, promise better treatment options in the near future. In this chapter, an overview of established and future CRC targeted therapies in the clinical setting is provided, as well as their mechanism of action, limitations, and future applicability.

Cancer Treatment with Liposomes Based Drugs and Genes Co-delivery Systems

2018 ◽  
Vol 25 (28) ◽  
pp. 3319-3332 ◽  
Author(s):  
Chuanmin Zhang ◽  
Shubiao Zhang ◽  
Defu Zhi ◽  
Jingnan Cui
Keyword(s):  
Cell Cycle ◽  
Cancer Cells ◽  
Synergistic Effects ◽  
Resistance Mechanisms ◽  
Delivery Systems ◽  
Cell Cycle Checkpoints ◽  
Drug Efflux ◽  
Cancer Resistance ◽  
Cancer Models ◽  
Anti Cancer

There are several mechanisms by which cancer cells develop resistance to treatments, including increasing anti-apoptosis, increasing drug efflux, inducing angiogenesis, enhancing DNA repair and altering cell cycle checkpoints. The drugs are hard to reach curative effects due to these resistance mechanisms. It has been suggested that liposomes based co-delivery systems, which can deliver drugs and genes to the same tumor cells and exhibit synergistic anti-cancer effects, could be used to overcome the resistance of cancer cells. As the co-delivery systems could simultaneously block two or more pathways, this might promote the death of cancer cells by sensitizing cells to death stimuli. This article provides a brief review on the liposomes based co-delivery systems to overcome cancer resistance by the synergistic effects of drugs and genes. Particularly, the synergistic effects of combinatorial anticancer drugs and genes in various cancer models employing multifunctional liposomes based co-delivery systems have been discussed. This review also gives new insights into the challenges of liposomes based co-delivery systems in the field of cancer therapy, by which we hope to provide some suggestions on the development of liposomes based co-delivery systems.

Immunotherapy and potential predictive biomarkers in the treatment of neuroendocrine neoplasia

2020 ◽  
Author(s):  
Guanghui Xu ◽  
Yuhao Wang ◽  
Hushan Zhang ◽  
Xueke She ◽  
Jianjun Yang
Keyword(s):  
Current Knowledge ◽  
Checkpoint Inhibitors ◽  
Treatment Options ◽  
Predictive Biomarkers ◽  
The Body ◽  
Low Grade ◽  
Ablative Therapies ◽  
Cancer Types ◽  
New Treatment ◽  
Well Differentiated

Neuroendocrine neoplasias (NENs) are a heterogeneous group of rare tumors scattered throughout the body. Surgery, locoregional or ablative therapies as well as maintenance treatments are applied in well-differentiated, low-grade NENs, whereas cytotoxic chemotherapy is usually applied in high-grade neuroendocrine carcinomas. However, treatment options for patients with advanced or metastatic NENs are limited. Immunotherapy has provided new treatment approaches for many cancer types, including neuroendocrine tumors, but predictive biomarkers of immune checkpoint inhibitors (ICIs) in the treatment of NENs have not been fully reported. By reviewing the literature and international congress abstracts, we summarize the current knowledge of ICIs, potential predicative biomarkers in the treatment of NENs, implications and efficacy of ICIs as well as biomarkers for NENs of gastroenteropancreatic system, lung NENs and Merkel cell carcinoma in clinical practice.

scholarly journals The Genomic Landscape of Thyroid Cancer Tumourigenesis and Implications for Immunotherapy

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1082
Author(s):  
Amandeep Singh ◽  
Jeehoon Ham ◽  
Joseph William Po ◽  
Navin Niles ◽  
Tara Roberts ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Mapk Pathway ◽  
Treatment Options ◽  
Metastatic Potential ◽  
Pi3k Pathway ◽  
Mitogen Activated Protein Kinase ◽  
Sequencing Data ◽  
Genetic Aberrations ◽  
Progression Model ◽  
Mitogen Activated Protein

Thyroid cancer is the most prevalent endocrine malignancy that comprises mostly indolent differentiated cancers (DTCs) and less frequently aggressive poorly differentiated (PDTC) or anaplastic cancers (ATCs) with high mortality. Utilisation of next-generation sequencing (NGS) and advanced sequencing data analysis can aid in understanding the multi-step progression model in the development of thyroid cancers and their metastatic potential at a molecular level, promoting a targeted approach to further research and development of targeted treatment options including immunotherapy, especially for the aggressive variants. Tumour initiation and progression in thyroid cancer occurs through constitutional activation of the mitogen-activated protein kinase (MAPK) pathway through mutations in BRAF, RAS, mutations in the phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K) pathway and/or receptor tyrosine kinase fusions/translocations, and other genetic aberrations acquired in a stepwise manner. This review provides a summary of the recent genetic aberrations implicated in the development and progression of thyroid cancer and implications for immunotherapy.

scholarly journals Protein Tyrosine Kinases: Their Roles and Their Targeting in Leukemia

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 184
Author(s):  
Kalpana K. Bhanumathy ◽  
Amrutha Balagopal ◽  
Frederick S. Vizeacoumar ◽  
Franco J. Vizeacoumar ◽  
Andrew Freywald ◽  
...  
Keyword(s):  
Growth Factor ◽  
Protein Kinase ◽  
Tyrosine Kinase ◽  
Protein Kinases ◽  
Tyrosine Kinases ◽  
Treatment Options ◽  
Growth Factor Receptor ◽  
Tyrosine Protein Kinase ◽  
Mesenchymal Epithelial Transition Factor ◽  
The Impact

Protein kinases constitute a large group of enzymes catalysing protein phosphorylation and controlling multiple signalling events. The human protein kinase superfamily consists of 518 members and represents a complicated system with intricate internal and external interactions. Protein kinases are classified into two main families based on the ability to phosphorylate either tyrosine or serine and threonine residues. Among the 90 tyrosine kinase genes, 58 are receptor types classified into 20 groups and 32 are of the nonreceptor types distributed into 10 groups. Tyrosine kinases execute their biological functions by controlling a variety of cellular responses, such as cell division, metabolism, migration, cell–cell and cell matrix adhesion, cell survival and apoptosis. Over the last 30 years, a major focus of research has been directed towards cancer-associated tyrosine kinases owing to their critical contributions to the development and aggressiveness of human malignancies through the pathological effects on cell behaviour. Leukaemia represents a heterogeneous group of haematological malignancies, characterised by an uncontrolled proliferation of undifferentiated hematopoietic cells or leukaemia blasts, mostly derived from bone marrow. They are usually classified as chronic or acute, depending on the rates of their progression, as well as myeloid or lymphoblastic, according to the type of blood cells involved. Overall, these malignancies are relatively common amongst both children and adults. In malignant haematopoiesis, multiple tyrosine kinases of both receptor and nonreceptor types, including AXL receptor tyrosine kinase (AXL), Discoidin domain receptor 1 (DDR1), Vascular endothelial growth factor receptor (VEGFR), Fibroblast growth factor receptor (FGFR), Mesenchymal–epithelial transition factor (MET), proto-oncogene c-Src (SRC), Spleen tyrosine kinase (SYK) and pro-oncogenic Abelson tyrosine-protein kinase 1 (ABL1) mutants, are implicated in the pathogenesis and drug resistance of practically all types of leukaemia. The role of ABL1 kinase mutants and their therapeutic inhibitors have been extensively analysed in scientific literature, and therefore, in this review, we provide insights into the impact and mechanism of action of other tyrosine kinases involved in the development and progression of human leukaemia and discuss the currently available and emerging treatment options based on targeting these molecules.

scholarly journals Selective Inhibition of Aurora Kinase A by AK-01/LY3295668 Attenuates MCC Tumor Growth by Inducing MCC Cell Cycle Arrest and Apoptosis

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3708
Author(s):  
Bhaba K. Das ◽  
Aarthi Kannan ◽  
Quy Nguyen ◽  
Jyoti Gogoi ◽  
Haibo Zhao ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Cycle Arrest ◽  
Checkpoint Inhibitors ◽  
Treatment Options ◽  
Standard Of Care ◽  
Aurora Kinase ◽  
Selective Inhibition ◽  
Potential Candidate ◽  
Cycle Arrest

Merkel cell carcinoma (MCC) is an often-lethal skin cancer with increasing incidence and limited treatment options. Although immune checkpoint inhibitors (ICI) have become the standard of care in advanced MCC, 50% of all MCC patients are ineligible for ICIs, and amongst those treated, many patients develop resistance. There is no therapeutic alternative for these patients, highlighting the urgent clinical need for alternative therapeutic strategies. Using patient-derived genetic insights and data generated in our lab, we identified aurora kinase as a promising therapeutic target for MCC. In this study, we examined the efficacy of the recently developed and highly selective AURKA inhibitor, AK-01 (LY3295668), in six patient-derived MCC cell lines and two MCC cell-line-derived xenograft mouse models. We found that AK-01 potently suppresses MCC survival through apoptosis and cell cycle arrest, particularly in MCPyV-negative MCC cells without RB expression. Despite the challenge posed by its short in vivo durability upon discontinuation, the swift and substantial tumor suppression with low toxicity makes AK-01 a strong potential candidate for MCC management, particularly in combination with existing regimens.

scholarly journals Characterization of the Survival Influential Genes in Carcinogenesis

2021 ◽  
Vol 22 (9) ◽  
pp. 4384
Author(s):  
Divya Sahu ◽  
Yu-Lin Chang ◽  
Yin-Chen Lin ◽  
Chen-Ching Lin
Keyword(s):  
Cell Cycle ◽  
Cox Regression ◽  
Monte Carlo Algorithm ◽  
Functional Modules ◽  
Protective Genes ◽  
Cancer Types ◽  
Underlying Mechanisms ◽  
Patient Prognosis ◽  
Pan Cancer

The genes influencing cancer patient mortality have been studied by survival analysis for many years. However, most studies utilized them only to support their findings associated with patient prognosis: their roles in carcinogenesis have not yet been revealed. Herein, we applied an in silico approach, integrating the Cox regression model with effect size estimated by the Monte Carlo algorithm, to screen survival-influential genes in more than 6000 tumor samples across 16 cancer types. We observed that the survival-influential genes had cancer-dependent properties. Moreover, the functional modules formed by the harmful genes were consistently associated with cell cycle in 12 out of the 16 cancer types and pan-cancer, showing that dysregulation of the cell cycle could harm patient prognosis in cancer. The functional modules formed by the protective genes are more diverse in cancers; the most prevalent functions are relevant for immune response, implying that patients with different cancer types might develop different mechanisms against carcinogenesis. We also identified a harmful set of 10 genes, with potential as prognostic biomarkers in pan-cancer. Briefly, our results demonstrated that the survival-influential genes could reveal underlying mechanisms in carcinogenesis and might provide clues for developing therapeutic targets for cancers.

scholarly journals Mutations of Intrinsically Disordered Protein Regions Can Drive Cancer but Lack Therapeutic Strategies

Biomolecules ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 381
Author(s):  
Bálint Mészáros ◽  
Borbála Hajdu-Soltész ◽  
András Zeke ◽  
Zsuzsanna Dosztányi
Keyword(s):  
Gene Expression Regulation ◽  
Treatment Options ◽  
Intrinsically Disordered Protein ◽  
System Level ◽  
Alternative Mechanism ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Disordered Protein ◽  
Cancer Types ◽  
Cancer Drivers

Many proteins contain intrinsically disordered regions (IDRs) which carry out important functions without relying on a single well-defined conformation. IDRs are increasingly recognized as critical elements of regulatory networks and have been also associated with cancer. However, it is unknown whether mutations targeting IDRs represent a distinct class of driver events associated with specific molecular and system-level properties, cancer types and treatment options. Here, we used an integrative computational approach to explore the direct role of intrinsically disordered protein regions driving cancer. We showed that around 20% of cancer drivers are primarily targeted through a disordered region. These IDRs can function in multiple ways which are distinct from the functional mechanisms of ordered drivers. Disordered drivers play a central role in context-dependent interaction networks and are enriched in specific biological processes such as transcription, gene expression regulation and protein degradation. Furthermore, their modulation represents an alternative mechanism for the emergence of all known cancer hallmarks. Importantly, in certain cancer patients, mutations of disordered drivers represent key driving events. However, treatment options for such patients are currently severely limited. The presented study highlights a largely overlooked class of cancer drivers associated with specific cancer types that need novel therapeutic options.

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