scholarly journals EGFR as a clinical marker in glioblastomas and other gliomas

2017 ◽  
Vol 33 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Fadi S. Saadeh ◽  
Rami Mahfouz ◽  
Hazem I. Assi
Keyword(s):  
Point Mutations ◽  
Growth Factor Receptor ◽  
Copy Number Variations ◽  
Response To Therapy ◽  
Response To Treatment ◽  
Medical Community ◽  
Nucleotide Polymorphisms ◽  
Egfr Gene ◽  
Transmembrane Glycoprotein ◽  
Gene Alterations

Epidermal growth factor receptor (EGFR) is a transmembrane glycoprotein and a member of the tyrosine kinase superfamily receptor. Gliomas are tumors originating from glial cells, which show a range of aggressiveness depending on grade and stage. Many EGFR gene alterations have been identified in gliomas, especially glioblastomas, including amplifications, deletions and single nucleotide polymorphisms (SNPs). Glioblastomas are discussed as a separate entity due to their high correlation with EGFR mutants and the reported association of the latter with survival and response to treatment in this glioma subgroup. This review is a comprehensive report of EGFR gene alterations and their relations with several clinical factors in glioblastomas and other gliomas. It covers all EGFR gene alterations including point mutations, SNPs, methylations, copy number variations and amplifications, assessed with regard to different clinical variables, including response to therapy and survival. This review also discusses the current prognostic status of EGFR in glioblastomas and other gliomas, and highlights gaps in previous studies. This serves as an update for the medical community about the role of EGFR gene alterations in gliomas and specifically glioblastomas, as a means for targeted treatment and prognosis.

Profiling 523 cancer associated genes in circulating tumor DNA of children with CNS tumors.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3023-3023
Author(s):  
Erin R. Bonner ◽  
Robin Harrington ◽  
Biswajit Das ◽  
Paul M. Williams ◽  
Chris Alan Karlovich ◽  
...  
Keyword(s):  
Liquid Biopsy ◽  
Molecular Subtype ◽  
Circulating Tumor Dna ◽  
Copy Number Variations ◽  
Response To Therapy ◽  
Cns Tumors ◽  
Response To Treatment ◽  
Tumor Evolution ◽  
Cns Tumor ◽  
Tumor Dna

3023 Background: Pediatric central nervous system (CNS) cancers often pose unique challenges including tumor ‘invisibility’, where surgical resection is restricted due to the sensitive tumor location and tissue biopsy is not always feasible. Detecting cancer associated mutations and copy number variations (CNV) at diagnosis is increasingly important, as the WHO classification of pediatric CNS cancers has incorporated molecular signatures with tumor grade. To achieve CNS tumor molecular ‘visibility’, we previously established a liquid biopsy platform for detecting single nucleotide variants in circulating tumor DNA (ctDNA). However, our method was limited by the restricted number of genes that can be monitored and the inability to detect genomic events including CNVs. To address this, we developed a deep sequencing liquid biopsy approach to profile alterations across selected genes. Our platform provides an opportunity for multi-gene monitoring, to assess tumor subclonal evolution and response to treatment in the absence of repeat tissue biopsies. Methods: We tested the performance of our platform using paired tissue, CSF, and plasma/serum from 10 children with diffuse midline glioma (DMG). ctDNA was analyzed using the TruSight Oncology 500 (TSO500) ctDNA targeted panel covering 523 genes. Matched tumor, CSF, and blood were assessed for concordance and sequencing results were compared to digital droplet PCR (ddPCR) detection of H3K27M mutation. Results: The median exons with ³500X coverage was 96% for 7 CSF samples with optimal input (³60ng), 0.01% for 3 CSF samples with < 5ng input, and 74.5% for plasma/serum samples. ctDNA was more readily detectable in CSF, yet concordance between paired tumor, CSF and plasma/serum was observed. DMG associated mutations in genes including H3F3A, HIST1H3B, TP53, and ACVR1 were detected in ctDNA. Of 9 H3K27M mutations identified in tumor, 8 were present in CSF and 3 in plasma/serum, for a positive percent agreement of 89% and 33%, respectively, with the tumor results. Among CSF samples, H3.3K27M was detected in 6/6 cases, and H3.1K27M in 2/3 cases, with variant allele frequencies comparable to ddPCR results. CNVs including PDGFRA/B and MDM4 amplifications were present in CSF and confirmed by analysis of paired tumor. Additional events, including PIK3CA p.E545Q, PPM1D truncation, and KRAS amplification, were detected in CSF but absent from paired tumor, indicating tissue heterogeneity. Strategies to optimize ctDNA detection, including optimization of ctDNA isolation and adjustment of library QC metrics, were identified. Conclusions: This proof-of-concept study demonstrates the feasibility of our high depth, targeted sequencing approach for detecting clinically relevant mutations in ctDNA from children with CNS tumors. This approach may aid in diagnosis of CNS tumor molecular subtype, and monitoring of tumor evolution and response to therapy in serially collected ctDNA.

scholarly journals CD markers polymorphisms as prognostic biomarkers in hematological malignancies

2020 ◽  
Vol 14 (2) ◽  
Author(s):  
Saeid Shahrabi ◽  
Majid Ghanavat ◽  
Masumeh Maleki Behzad ◽  
Daryush Purrahman ◽  
Najmaldin Saki
Keyword(s):  
English Language ◽  
Hematological Malignancies ◽  
Relevant Literature ◽  
Response To Therapy ◽  
Prognostic Biomarkers ◽  
Response To Treatment ◽  
Nucleotide Polymorphisms ◽  
Genetic Changes ◽  
Cd Marker ◽  
Cd Markers

The clusters of differentiation (CD) are surface molecules used for immunophenotyping of cells. The expression of CD markers is widely used to classify hematological malignancies, including leukemia and lymphoma. Single nucleotide polymorphisms (SNPs) are crucial genetic changes that can be associated with abnormal expression and function of CD markers. In this paper, we assess the prognostic effect of CD markers’ SNPs in hematological malignancies. Materials and methods and relevant literature was identified by a PubMed search (2001-2019) of English language papers using the following terms: ‘polymorphism’, ‘CD marker’, ‘leukemia’, ‘lymphoma’, ‘prognosis’, ‘CD marker’, and ‘polymorphism’. Many studies have demonstrated the effects of CD markers’ polymorphisms on risk of hematological malignancies. Also, SNPs of CD markers can be related with clinicopathological features, invasiveness, and response to therapy of these disorders. Considering the importance of SNPs in the expressions of CD markers, these genetic changes could be used as potential prognostic biomarkers in hematological malignancies. It is hoped that the evaluation of SNPs in CD markers will enable early diagnosis, prognosis, and detection of response to treatment. However, better understanding of SNPs in CD markers that are involved in hematological malignancies requires further studies on different populations of the worldwide.

Epidermal growth factor receptor (EGFR) mutations in breast and cervical cancer

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 20101-20101
Author(s):  
M. S. Park ◽  
K. Puttaswamy ◽  
Z. Gombos ◽  
A. Geza ◽  
M. S. Brose
Keyword(s):  
Cervical Cancer ◽  
Tyrosine Kinase ◽  
Clinical Data ◽  
Point Mutations ◽  
Response To Therapy ◽  
Egfr Mutations ◽  
Egfr Gene ◽  
Cervical Cancers ◽  
Breast And Cervical Cancer

20101 Background: EGFR is a tyrosine kinase receptor in the HER family which is widely expressed in a number of epithelial tumors and is believed to play a key role in cell proliferation. Molecular analysis of the EGFR gene in patients with non-small-cell lung cancer have identified a distinct subset of tumors that possess specific point mutations in the tyrosine kinase region of the EGFR gene, which correlate to response to tyrosine kinase inhibitors (TKIs) such as gefitinib and erlotinib. Clinical trials involving TKIs are currently under way for patients with breast and cervical cancer. While responses thus far may have been modest it is unclear whether specific EGFR mutations are present in breast and cervical cancers which identify patients with improved prognosis and better response to therapy in these cancers. Using clinical samples with 5 years of follow-up clinical data, we have set out to determine whether EGFR mutations exist in breast and cervical cancers, and how these mutations, if any, correlate with the clinical data. Methods: We plan to perform sequence analysis of the tyrosine kinase domain of the EGFR gene (exons 18–24) in 50 archival breast and 44 cervical cancer specimens using PCR amplification and sequencing of genomic DNA. Clinical information has been extracted from patient charts on samples and will be correlated with the presence of any EGFR mutations identified. Results: To date we have collected 50 breast and 44 cervical tumor blocks and have isolated genomic DNA from the specimens. Sequencing for point mutations in exons 18–24 is underway. Clinical data on the cervical cancer specimens revealed a mean age at diagnosis of 48.2 years, tumor grades that were mostly intermediate (50%) and high (45%), and all FICO stages at diagnosis (43% stage I, 30% stage II, 5% stage III, 5% stage IV). In addition the rate of recurrence was 32%, and survival rate was 82% with an average time of follow-up for the set of 4.9 years. Conclusions: Our data will further elucidate the role of point mutations in EGFR gene in breast and cervical cancer prognosis and response to therapy, and will complement data currently being collected in clinical trials using TKIs. No significant financial relationships to disclose.

Melanoma: Prognostic Factors and Factors Predictive of Response to Therapy

2020 ◽  
Vol 27 (17) ◽  
pp. 2792-2813
Author(s):  
Martina Strudel ◽  
Lucia Festino ◽  
Vito Vanella ◽  
Massimiliano Beretta ◽  
Francesco M. Marincola ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lactate Dehydrogenase ◽  
Checkpoint Inhibitors ◽  
Survival Rates ◽  
Elevated Serum ◽  
Predictive Biomarkers ◽  
Response To Therapy ◽  
Response To Treatment ◽  
Prognostic Features ◽  
Programmed Death

Background: A better understanding of prognostic factors and biomarkers that predict response to treatment is required in order to further improve survival rates in patients with melanoma. Predictive Biomarkers: The most important histopathological factors prognostic of worse outcomes in melanoma are sentinel lymph node involvement, increased tumor thickness, ulceration and higher mitotic rate. Poorer survival may also be related to several clinical factors, including male gender, older age, axial location of the melanoma, elevated serum levels of lactate dehydrogenase and S100B. Predictive Biomarkers: Several biomarkers have been investigated as being predictive of response to melanoma therapies. For anti-Programmed Death-1(PD-1)/Programmed Death-Ligand 1 (PD-L1) checkpoint inhibitors, PD-L1 tumor expression was initially proposed to have a predictive role in response to anti-PD-1/PD-L1 treatment. However, patients without PD-L1 expression also have a survival benefit with anti-PD-1/PD-L1 therapy, meaning it cannot be used alone to select patients for treatment, in order to affirm that it could be considered a correlative, but not a predictive marker. A range of other factors have shown an association with treatment outcomes and offer potential as predictive biomarkers for immunotherapy, including immune infiltration, chemokine signatures, and tumor mutational load. However, none of these have been clinically validated as a factor for patient selection. For combined targeted therapy (BRAF and MEK inhibition), lactate dehydrogenase level and tumor burden seem to have a role in patient outcomes. Conclusions: With increasing knowledge, the understanding of melanoma stage-specific prognostic features should further improve. Moreover, ongoing trials should provide increasing evidence on the best use of biomarkers to help select the most appropriate patients for tailored treatment with immunotherapies and targeted therapies.

scholarly journals Implementing Personalized Medicine in COVID-19 in Andalusia: An Opportunity to Transform the Healthcare System

2021 ◽  
Vol 11 (6) ◽  
pp. 475
Author(s):  
Joaquín Dopazo ◽  
Douglas Maya-Miles ◽  
Federico García ◽  
Nicola Lorusso ◽  
Miguel Ángel Calleja ◽  
...  
Keyword(s):  
Public Health ◽  
Health Care ◽  
Clinical Practice ◽  
Personalized Medicine ◽  
Local Level ◽  
Individual Variability ◽  
Response To Therapy ◽  
Control Measures ◽  
Response To Treatment ◽  
Specific Patient

The COVID-19 pandemic represents an unprecedented opportunity to exploit the advantages of personalized medicine for the prevention, diagnosis, treatment, surveillance and management of a new challenge in public health. COVID-19 infection is highly variable, ranging from asymptomatic infections to severe, life-threatening manifestations. Personalized medicine can play a key role in elucidating individual susceptibility to the infection as well as inter-individual variability in clinical course, prognosis and response to treatment. Integrating personalized medicine into clinical practice can also transform health care by enabling the design of preventive and therapeutic strategies tailored to individual profiles, improving the detection of outbreaks or defining transmission patterns at an increasingly local level. SARS-CoV2 genome sequencing, together with the assessment of specific patient genetic variants, will support clinical decision-makers and ultimately better ways to fight this disease. Additionally, it would facilitate a better stratification and selection of patients for clinical trials, thus increasing the likelihood of obtaining positive results. Lastly, defining a national strategy to implement in clinical practice all available tools of personalized medicine in COVID-19 could be challenging but linked to a positive transformation of the health care system. In this review, we provide an update of the achievements, promises, and challenges of personalized medicine in the fight against COVID-19 from susceptibility to natural history and response to therapy, as well as from surveillance to control measures and vaccination. We also discuss strategies to facilitate the adoption of this new paradigm for medical and public health measures during and after the pandemic in health care systems.

Role of the norepinephrine transporter polymorphisms in atomoxetine treatment: From response to side effects in children with ADHD

2021 ◽  
pp. 026988112110152
Author(s):  
Melike Kevser Gul ◽  
Elif Funda Sener ◽  
Muge Gulcihan Onal ◽  
Esra Demirci
Keyword(s):  
Side Effects ◽  
Treatment Response ◽  
Large Population ◽  
Norepinephrine Transporter ◽  
Response To Treatment ◽  
Nucleotide Polymorphisms ◽  
Children With Adhd ◽  
Real Time Quantitative Pcr ◽  
Treatment Side Effects ◽  
Adhd Treatment

Objective: Atomoxetine (ATX), one of the most commonly used drugs after stimulants in attention deficit hyperactivity disorder (ADHD) treatment, is an inhibitor of the norepinephrine transporter ( NET/SLC6A2), which is also associated with the etiology of ADHD. In this study, we aimed to investigate the effect of NET gene polymorphisms on response to ATX treatment and to find the answers to the questions about whether there is a relationship between the severity of the disorder and the observed side effects in children with ADHD. Method: About 100 children with ADHD and 80 healthy controls (HCs) were included in this study. The dose of ATX was started at 0.5 mg/kg/day and titrated at 1.2 mg/kg/day. Response to treatment of 78 patients was evaluated 2 months after the beginning of the treatment. After whole blood samples were obtained, DNAs were isolated, and samples were stored at −80°C. Two single-nucleotide polymorphisms (SNPs) (rs12708954 and rs3785143) were analyzed by real-time quantitative PCR (qRT-PCR). Results: The patients with both rs12708954 and rs3785143 heterozygous genotype had better treatment response and more side effects than patients with wild type. There was not found any association between any of the investigated NET polymorphisms and ADHD severity. Conclusion: It was, however, found that the NET rs12708954 and rs3785143 genotypes affect the treatment response to ATX in our study; thus, further studies with a large population are needed to understand the effects of NET polymorphisms on treatment, side effects, and also the severity of ADHD.

scholarly journals Molecular and Circulating Biomarkers of Brain Tumors

2021 ◽  
Vol 22 (13) ◽  
pp. 7039
Author(s):  
Wojciech Jelski ◽  
Barbara Mroczko
Keyword(s):  
Brain Tumors ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Extracellular Vesicles ◽  
Dna Methyltransferase ◽  
Growth Factor Receptor ◽  
Response To Treatment ◽  
Liquid Biopsies ◽  
Methylguanine Dna Methyltransferase ◽  
The Central Nervous System

Brain tumors are the most common malignant primary intracranial tumors of the central nervous system. They are often recognized too late for successful therapy. Minimally invasive methods are needed to establish a diagnosis or monitor the response to treatment of CNS tumors. Brain tumors release molecular information into the circulation. Liquid biopsies collect and analyze tumor components in body fluids, and there is an increasing interest in the investigation of liquid biopsies as a substitute for tumor tissue. Tumor-derived biomarkers include nucleic acids, proteins, and tumor-derived extracellular vesicles that accumulate in blood or cerebrospinal fluid. In recent years, circulating tumor cells have also been identified in the blood of glioblastoma patients. In this review of the literature, the authors highlight the significance, regulation, and prevalence of molecular biomarkers such as O6-methylguanine-DNA methyltransferase, epidermal growth factor receptor, and isocitrate dehydrogenase. Herein, we critically review the available literature on plasma circulating tumor cells (CTCs), cell-free tumors (ctDNAs), circulating cell-free microRNAs (cfmiRNAs), and circulating extracellular vesicles (EVs) for the diagnosis and monitoring of brain tumor. Currently available markers have significant limitations.While much research has been conductedon these markers, there is still a significant amount that we do not yet understand, which may account for some conflicting reports in the literature.

scholarly journals The FGF/FGFR System in Breast Cancer: Oncogenic Features and Therapeutic Perspectives

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3029
Author(s):  
Maria Francesca Santolla ◽  
Marcello Maggiolini
Keyword(s):  
Breast Cancer ◽  
Growth Factor ◽  
Fibroblast Growth Factor ◽  
Kinase Inhibitors ◽  
Point Mutations ◽  
Growth Factor Receptor ◽  
Fibroblast Growth ◽  
Transduction Mechanisms ◽  
Molecular Landscape ◽  
Molecular Aberrations

One of the major challenges in the treatment of breast cancer is the heterogeneous nature of the disease. With multiple subtypes of breast cancer identified, there is an unmet clinical need for the development of therapies particularly for the less tractable subtypes. Several transduction mechanisms are involved in the progression of breast cancer, therefore making the assessment of the molecular landscape that characterizes each patient intricate. Over the last decade, numerous studies have focused on the development of tyrosine kinase inhibitors (TKIs) to target the main pathways dysregulated in breast cancer, however their effectiveness is often limited either by resistance to treatments or the appearance of adverse effects. In this context, the fibroblast growth factor/fibroblast growth factor receptor (FGF/FGFR) system represents an emerging transduction pathway and therapeutic target to be fully investigated among the diverse anti-cancer settings in breast cancer. Here, we have recapitulated previous studies dealing with FGFR molecular aberrations, such as the gene amplification, point mutations, and chromosomal translocations that occur in breast cancer. Furthermore, alterations in the FGF/FGFR signaling across the different subtypes of breast cancer have been described. Next, we discussed the functional interplay between the FGF/FGFR axis and important components of the breast tumor microenvironment. Lastly, we pointed out the therapeutic usefulness of FGF/FGFR inhibitors, as revealed by preclinical and clinical models of breast cancer.

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