Epidermal growth factor receptor inhibition and non-small cell lung cancer

Deleterious association between proton pump inhibitor and protein kinase inhibitor exposure and survival for patients with lung cancer: A nationwide cohort study

INTRODUCTION

Previous studies have identified an interaction between protein kinase inhibitors (PKIs) and proton pump inhibitors (PPIs) in patients with lung cancer. This type of interaction may reduce the efficacy of PKIs. However, the effect of PKI-PPI interaction on patient mortality remains controversial. This study set out to determine the impact of PKI-PPI interaction on overall survival for lung cancer patients.

MATERIALS AND METHODS

This study was conducted using data from the French National Health Care Database from January 1, 2011 to December 31, 2021. We identified patients with: (i) an age equal to or greater than 18 years; (ii) lung cancer; and (iii) at least one reimbursement for one of the following drugs: erlotinib, gefitinib, afatinib and osimertinib. Patients were followed-up between the first date of PKI reimbursement and either December 31, 2021 or if they died, the date on which death occurred. The cumulative exposure to PPI duration during PKI treatment was calculated as the ratio between the number of concomitant exposure days to PKI and PPI and the number of exposure days to PKI. A survival analysis using a Cox proportional hazards model was then performed to assess the risk of death following exposure to a PKI-PPI interaction.

RESULTS

34,048 patients received at least one reimbursement for PKIs of interest in our study: 26,133 (76.8 %) were exposed to erlotinib; 3,142 (9.2 %) to gefitinib; 1,417 (4.2 %) to afatinib; and 3,356 (9.9 %) to osimertinib. Patients with concomitant exposure to PKI-PPI interaction during 20 % or more of the PKI treatment period demonstrated an increased risk of death (HR, 1.60 [95 % CI, 1.57-1.64]) compared to other patients. When this cut-off varied from 10 % to 80 %, the estimated HR ranged from 1.46 [95 % CI, 1.43-1.50] to 2.19 [95 % CI, 2.12-2.25].

DISCUSSION/CONCLUSION

In our study, an elevated risk of death was observed in patients exposed to PKI-PPI interaction. Finally, we were able to identify a dose-dependent effect for this interaction. This deleterious effect of osimertinib and PPI was revealed for the first time in real life conditions.

Epigenetic Regulation of Driver Genes in Testicular Tumorigenesis

In testicular germ cell tumor type II (TGCT), a seminoma subtype expresses an induced pluripotent stem cell (iPSC) panel with four upregulated genes, OCT4/POU5F1, SOX17, KLF4, and MYC, and embryonal carcinoma (EC) has four upregulated genes, OCT4/POU5F1, SOX2, LIN28, and NANOG. The EC panel can reprogram cells into iPSC, and both iPSC and EC can differentiate into teratoma. This review summarizes the literature on epigenetic regulation of the genes. Epigenetic mechanisms, such as methylations of cytosines on the DNA string and methylations and acetylations of histone 3 lysines, regulate expression of these driver genes between the TGCT subtypes. In TGCT, the driver genes contribute to well-known clinical characteristics and the driver genes are also important for aggressive subtypes of many other malignancies. In conclusion, epigenetic regulation of the driver genes are important for TGCT and for oncology in general.

Array-based pharmacogenomics of molecular-targeted therapies in oncology

The advent of microarrays over the past decade has transformed the way genome-wide studies are designed and conducted, leading to an unprecedented speed of acquisition and amount of new knowledge. Microarray data have led to the identification of molecular subclasses of solid tumors characterized by distinct oncogenic pathways, as well as the development of multigene prognostic or predictive models equivalent or superior to those of established clinical parameters. In the field of molecular-targeted therapy for cancer, in particular, the application of array-based methodologies has enabled the identification of molecular targets with 'key' roles in neoplastic transformation or tumor progression and the subsequent development of targeted agents, which are most likely to be active in the specific molecular setting. Herein, we present a summary of the main applications of whole-genome expression microarrays in the field of molecular-targeted therapies for solid tumors and we discuss their potential in the clinical setting. An emphasis is given on deciphering the molecular mechanisms of drug action, identifying novel therapeutic targets and suitable agents to target them with, and discovering molecular markers/signatures that predict response to therapy or optimal drug dose for each patient.

Epidermal growth factor receptor signaling in nonsmall cell lung cancer

Epidermal growth factor is a 170-kd protein that binds to a specific tyrosine kinase receptor, epidermal growth factor receptor (EGFR), on the cell surface. EGFR function is dysregulated in various malignancies including nonsmall cell lung cancer (NSCLC) leading to activation of several signal transduction pathways including K-RAS, PIK3, and STAT3 and STAT5, that promote cell cycle progression, proliferation, invasion, angiogenesis, and inhibit apoptosis. EGFR overexpression is seen in a majority of cases of NSCLC, but its prognostic role is controversial. EGFR inhibitors currently undergoing clinical trials in NSCLC include monoclonal antibodies or small molecule tyrosine kinase inhibitors. The only EGFR inhibitor currently approved for the treatment of NSCLC is erlotinib, a small molecule tyrosine kinase inhibitor. Although women, nonsmokers, patients with adenocarcinoma and patients with Asian ethnicity seem to have better outcomes with erlotinib, the factors predictive for response to these agents are currently the focus of investigation.

Robust detection of EGFR copy number changes and EGFR variant III: technical aspects and relevance for glioma diagnostics

Epidermal growth factor receptor (EGFR) is commonly affected in cancer, generally in the form of an increase in DNA copy number and/or as mutation variants [e.g., EGFR variant III (EGFRvIII), an in-frame deletion of exons 2-7]. While detection of EGFR aberrations can be expected to be relevant for glioma patients, such analysis has not yet been implemented in a routine setting, also because feasible and robust assays were lacking. We evaluated multiplex ligation-dependent probe amplification (MLPA) for detection of EGFR amplification and EGFRvIII in DNA of a spectrum of 216 diffuse gliomas. EGFRvIII detection was verified at the protein level by immunohistochemistry and at the RNA level using the conventionally used endpoint RT-PCR as well as a newly developed quantitative RT-PCR. Compared to these techniques, the DNA-based MLPA assay for EGFR/EGFRvIII analysis tested showed 100% sensitivity and specificity. We conclude that MLPA is a robust assay for detection of EGFR/EGFRvIII aberrations. While the exact diagnostic, prognostic and predictive value of such EGFR testing remains to be seen, MLPA has great potential as it can reliably and relatively easily be performed on routinely processed (formalin-fixed, paraffin-embedded) tumor tissue in combination with testing for other relevant glioma markers.

Therapeutically targeting ErbB3: a key node in ligand-induced activation of the ErbB receptor-PI3K axis

The signaling network downstream of the ErbB family of receptors has been extensively targeted by cancer therapeutics; however, understanding the relative importance of the different components of the ErbB network is nontrivial. To explore the optimal way to therapeutically inhibit combinatorial, ligand-induced activation of the ErbB-phosphatidylinositol 3-kinase (PI3K) axis, we built a computational model of the ErbB signaling network that describes the most effective ErbB ligands, as well as known and previously unidentified ErbB inhibitors. Sensitivity analysis identified ErbB3 as the key node in response to ligands that can bind either ErbB3 or EGFR (epidermal growth factor receptor). We describe MM-121, a human monoclonal antibody that halts the growth of tumor xenografts in mice and, consistent with model-simulated inhibitor data, potently inhibits ErbB3 phosphorylation in a manner distinct from that of other ErbB-targeted therapies. MM-121, a previously unidentified anticancer therapeutic designed using a systems approach, promises to benefit patients with combinatorial, ligand-induced activation of the ErbB signaling network that are not effectively treated by current therapies targeting overexpressed or mutated oncogenes.

Pathway targets to explore in the treatment of non-small cell lung cancer

INTRODUCTION

With a 5-year survival rate of only 16%, improvements in therapeutic strategies for the treatment of non-small cell lung cancer (NSCLC) are still warranted. Published prognostic gene expression classification signatures in NSCLC overlap poorly across studies. We hypothesized that different NSCLC microarray datasets will share common pathways leading to the identification of new targets for therapeutic development.

METHODS

Per gene mean expression fold change ratios were calculated from 7 publicly-available microarray datasets consisting of a total of 725 profiled samples. This was followed by mapping of differentially expression genes into functionally annotated biologic pathways using Ingenuity pathway analysis software. Common pathways containing genes whose expression levels differed between phenotypic classes defined by NSCLC cases and/or histology, pathologic stage, and gender were determined.

RESULTS

Several significant common pathways overlapping these datasets were identified in silico. One of which, Leukocyte Extravasation Signaling pathway, includes targeted agents such as imatinib, dasatinib, and temozolomide currently under exploration in NSCLC trials. The remaining pathways have targets with few drugs developed or under development in cancer therapeutics. Comparison of pathways derived from Eastern versus Western population datasets revealed several differing targets and potential target drugs.

CONCLUSION

This in silico pathway exploration in NSCLC warrants further investigation and could open the door to potential new therapeutics that might improve NSCLC patient outcomes. This strategy can be applied to other cancer types.

The emerging role of epidermal growth factor receptor inhibitors in ovarian cancer

Epidermal growth factor receptor (EGFR) inhibitors are a new biologically targeted therapy, which may offer new hope in the treatment of patients with advanced or recurrent ovarian cancers. In this review, we summarize and discuss the results of research to date on EGFR inhibitors with particular emphasis on ovarian cancer. We reviewed data identified by searches of MEDLINE, PubMed, and abstracts from the proceedings of the American Society of Clinical Oncology meetings from 1998 to 2006, with the search terms “Ovarian Cancer,” “EGFR,” “gefitinib, ZD1839, Iressa,” “erlotinib, OSI-774, Tarceva,” “CI-1033,” “ GW 572016, lapatinib,” “PKI-166,” “EKB 569,” “anti-EGFR antibodies,” “trastuzumab, Herceptin,” “cetuximab, Erbitux, IMC-C225,” “matuzumab, EMD 72000,” “panitumamab, ABX-EGF,” “pertuzumab,” and “vandetanib, rINN, Zactima, ZD6474.” Phase II trials of both small molecule inhibitors of EGFR- and antibody-based inhibitors are currently ongoing in ovarian cancer and emerging data suggest that their activity in unselected women with advanced or recurrent ovarian cancer is modest, when utilized as a single agent. It is possible that these agents will be highly effective in smaller subsets of patients whose tumors are dependent on EGFR signaling, perhaps through activating mutations in EGFR or its downstream pathway. Targeted therapy with EGFR inhibitors is an untapped potential resource in the treatment of advanced or recurrent ovarian cancer. Ongoing trials will elucidate the most effective strategies to use these agents individually or in combination with traditional chemotherapeutic agents.

Demonstration of a genetic therapeutic index for tumors expressing oncogenic BRAF by the kinase inhibitor SB-590885

Oncogenic BRAF alleles are both necessary and sufficient for cellular transformation, suggesting that chemical inhibition of the activated mutant protein kinase may reverse the tumor phenotype. Here, we report the characterization of SB-590885, a novel triarylimidazole that selectively inhibits Raf kinases with more potency towards B-Raf than c-Raf. Crystallographic analysis revealed that SB-590885 stabilizes the oncogenic B-Raf kinase domain in an active configuration, which is distinct from the previously reported mechanism of action of the multi-kinase inhibitor, BAY43-9006. Malignant cells expressing oncogenic B-Raf show selective inhibition of mitogen-activated protein kinase activation, proliferation, transformation, and tumorigenicity when exposed to SB-590885, whereas other cancer cell lines and normal cells display variable sensitivities or resistance to similar treatment. These studies support the validation of oncogenic B-Raf as a target for cancer therapy and provide the first evidence of a correlation between the expression of oncogenic BRAF alleles and a positive response to a selective B-Raf inhibitor.

A review of vaccine clinical trials for non-small cell lung cancer

Recent evidence suggests that vaccines which enhance tumour antigen recognition may provide clinical benefit to subsets of non-small cell lung cancer patients. In this review, a variety of peptide-, gene- and cell-based clinical vaccine approaches targeting non-small cell lung cancer patients are reviewed. Results consistently demonstrate lack of toxicity. Examples of prolonged stable disease, tumour shrinkage response and survival benefit in comparison with historical and low-dose control groups have been demonstrated. Specific vaccines fulfilling justification for Phase III evaluation based on these results include LBLP25, TGF-beta2 antisense gene vaccine and GVAX.