Epidermal Growth Factor Receptor Gene Mutations Research Articles

Structural alterations of the EGFR gene in glioblastoma samples as a prognostic factor and molecular target for therapy

Introduction. Epidermal growth factor receptor (EGFR) is a transmembrane protein of the receptor tyrosine kinase family that is activated in various cancers (non-small cell lung cancer, colorectal cancer, head and neck tumors). In glial brain tumors, increased EGFR expression levels are characteristic of the most aggressive subtype, glioblastoma. Frequent structural changes of EGFR in glioblastoma are amplification of the chromosome region where the EGFR gene is located, point mutations, as well as deletion of exons 2–7 of the EGFR gene leading to the formation of EGFRvIII transcript.Aim. To determine structural changes of the EGFR gene (point mutations and amplification of the EGFR gene, EGFRvIII transcript) in tumor samples using different methods and to evaluate their potential clinical significance.Materials and methods. The study included 75 patients with brain gliomas (70 of them glioblastoma) aged 34 to 78 years (mean age 56 years). DNA and RNA isolation was performed from fresh frozen tumor tissue, as well as from peripheral blood leukocytes. EGFR gene mutations were determined by next-generation sequencing (NGS), and β allele frequency (BAF) comparative analysis (normal-tumor) was performed to determine the copy number of chromosome 7 regions. Quantitative polymerase chain reaction was used to confirm the EGFR gene amplification in tumor samples, and reverse transcription-PCR was used to detect EGFRvIII variant.Results. The NGS method revealed 11/70 (16 %) mutations in coding regions of EGFR gene in glioblastoma samples, the EGFR gene amplification was detected in 26/70 (37 %) cases; no structural changes of the EGFR gene were detected in 5 glioma samples (astrocytoma, oligodendroglioma). All cases of EGFR gene amplification detected by NGS were confirmed by quantitative polymerase chain reaction. To search for EGFRvIII transcript, 31 tumor RNA samples were examined, of which EGFR amplification was present in 12 samples. EGFRvIII transcript was detected only in samples with EGFR gene amplification – 4/12 (33 %). To assess the clinical significance of structural gene alterations, the frequency of occurrence in primary and recurrent glioblastoma samples was compared.Conclusion. The NGS method allows to detect both point mutations and amplification of the EGFR gene. The EGFR gene amplification was associated with EGFRvIII mutation in 33 % of cases. No statistically significant differences in the frequency of structural changes in the EGFR gene between primary and relapsed glioblastomas were found.

A predictive model of computed tomography and clinical features of EGFR gene mutation in lung adenocarcinoma.

Purpose: This study aims to develop a predictive model for epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma by integrating computed tomography (CT) imaging features with clinical characteristics. Methods: A retrospective analysis was conducted using electronic medical records from 194 patients diagnosed with lung adenocarcinoma between January 2016 and December 2020, with approval from the institutional review board. Features were selected using LASSO regression, and predictive models were built using logistic regression, support vector machine, and random forest methods. Individual models were created for clinical features, CT imaging features, and a combined model to predict EGFR mutations. Results: The training set revealed that alcohol consumption, intrapulmonary metastasis, and pleural effusion were statistically significant in distinguishing between wild-type and mutation groups (p < 0.05). In the testing set, hilar and mediastinal lymphadenopathy showed statistical significance (p < 0.05). The combined model outperformed the individual clinical and CT imaging feature models. In the testing set, the logistic regression model achieved the highest AUC of 0.827, with sensitivity, specificity, and accuracy of 0.714, 0.712, and 0.712, respectively. Nomogram analysis identified lobulation as an important feature, with a predicted probability of up to 0.9. The decision curve analysis showed that the CT imaging feature model provided a higher net benefit compared to both the clinical feature model and the combined model. Conclusion: In summary, while the combined model outperformed the individual feature models in the testing set, the CT imaging feature model demonstrated the greatest clinical net benefit. Lobulation was identified as an important predictor of EGFR mutations in lung adenocarcinoma.

Non-invasive, fast, and high-performance EGFR gene mutation prediction method based on deep transfer learning and model stacking for patients with Non-Small Cell Lung Cancer

PurposeTo propose an intelligent, non-invasive, highly precise, and rapid method to predict the mutation status of the Epidermal Growth Factor Receptor (EGFR) to accelerate treatment with Tyrosine Kinase Inhibitor (TKI) for patients with untreated adenocarcinoma Non-Small Cell Lung Cancer. Materials and methodsReal-world data from 521 patients with adenocarcinoma NSCLC who performed a CT scan and underwent surgery or pathological biopsy to determine EGFR gene mutation between January 2021 and July 2022, is collected. Solutions to the problems that prevent the model from achieving very high precision, namely: human errors made during the annotation of the database and the low precision of the output decision of the model, are proposed. Thus, among the 521 analyzed cases, only 40 were selected as patients with EGFR gene mutation and 98 cases with wild-type EGFR. ResultsThe proposed model is trained, validated, and tested on 12,040 2D images extracted from the 138 CT scans images where patients were randomly partitioned into training (80 %) and test (20 %) sets. The performance obtained for EGFR gene mutation prediction was 95.22 % for accuracy, 960.2 for F1_score, 95.89 % for precision, 96.92 % for sensitivity, 94.01 % for Cohen kappa, and 98 % for AUC. ConclusionAn EGFR gene mutation status prediction method, with high-performance thanks to an intelligent prediction model entrained by highly accurate annotated data is proposed. The outcome of this project will facilitate rapid decision-making when applying a TKI as an initial treatment.

Non-small Cell Lung Cancer with Metachronous Mutations of EGFR and ALK Genes: A Case Report and Literature Review

Multiple primary lung cancer (MPLC) refers to patients with two or more primary lesions of lung cancer. It can be divided into synchronous MPLC (sMPLC) and metachronous MPLC (mMPLC) based on the timing of occurrence. In recent years, the detection rate of MPLC has gradually increased. However, considerable controversy exists in distinguishing MPLC from intrapulmonary metastasis (IM), especially when the histopathological types are identical. Given the significant differences in treatment strategies and prognosis in clinical practice currently, accurate diagnosis of MPLC is crucial for personalized precision therapy. Molecular genetics and sequencing technologies offer effective strategies for assessing the clonal origin of tumors. There have been reports of coexisting mutations in the epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) fusion genes in non-small cell lung cancer, but case of EGFR mutation following an ALK mutation has not been mentioned. This article accurately diagnoses and retrospectively analyzes the clinical data of a case of ALK mutant adenocarcinoma in a male patient who developed an EGFR mutation with multiple metastases four years after surgery, and reviews the relevant literature. This paper aims to deepen the understanding of mMPLC and provide clinical references for the diagnosis and treatment of such patients. .

Advances in Targeted Therapy of Non-small Cell Lung Cancer with EGFR Combined With P53 Gene Mutation

Non-small cell lung cancer (NSCLC) is currently the leading cause of cancer death worldwide. NSCLC patients with epidermal growth factor receptor (EGFR) mutations were treated with EGFR-tyrosine kinase inhibitor (TKI), but EGFR mutations combined with other genes had a shorter survival. However, the P53 gene mutation is a common combined mutation in patients with NSCLC with EGFR gene mutation. This review summarizes the development of targeted NSCLC for EGFR with P53 mutations.

Current status and breakthroughs in treating advanced non-small cell lung cancer with EGFR exon 20 insertion mutations.

Recently, targeted therapy and immunotherapy have emerged as effective treatment options for non-small cell lung cancer (NSCLC). This progress has been facilitated by the rapid development of diagnostic and therapeutic technologies and the continuous research and development of new drugs, leading to a new era in precision medicine for NSCLC. This is a breakthrough for patients with common mutations in the human epidermal growth factor receptor (EGFR) gene in NSCLC. Consequently, the use of targeted drugs has significantly improved survival. Nevertheless, certain rare genetic mutations are referred to as EGFR exon 20 insertion (ex20ins) mutations, which differ in structure from conventional EGFR gene mutations, namely, exon 19 deletion mutations (19-Del) and exon 21 point mutations. Owing to their distinct structural characteristics, patients harboring these EGFR ex20ins mutations are unresponsive to traditional tyrosine kinase inhibitor (TKI) therapy. This particular group of patients did not fall within the scope of their applicability. However, the activating A763_Y764insFQEA mutation elicits a more pronounced response than mutations in the near and far regions of the C-helix immediately following it and should, therefore, be treated differently. Currently, there is a lack of effective treatments for EGFR ex20ins mutations NSCLC. The efficacy of chemotherapy has been relatively favorable, whereas the effectiveness of immunotherapy remains ambiguous owing to inadequate clinical data. In addition, the efficacy of the first- and second-generation targeted drugs remains limited. However, third-generation and novel targeted drugs have proven to be effective. Although novel EGFR-TKIs are expected to treat EGFR ex20ins mutations in patients with NSCLC, they face many challenges. The main focus of this review is on emerging therapies that target NSCLC with EGFR ex20ins and highlight major ongoing clinical trials while also providing an overview of the associated challenges and research advancements in this area.

Distinguishing EGFR mutation molecular subtypes based on MRI radiomics features of lung adenocarcinoma brain metastases

ObjectiveTo explore the feasibility of identifying epidermal growth factor receptor (EGFR) mutation molecular subtypes in primary lesions based on the radiomics features of lung adenocarcinoma brain metastases using magnetic resonance imaging (MRI). MethodsWe retrospectively analyzed clinical, imaging, and genetic testing data of patients with lung adenocarcinoma with EGFR gene mutations who had brain metastases. Three-dimensional radiomics features were extracted from contrast-enhanced T1-weighted images. The volume of interest was delineated and normalized using Z-score, dimensionality reduction was performed using principal component analysis, feature selection using Relief, and radiomics model construction using adaptive boosting as a classifier. Data were randomly divided into training and testing datasets at an 8:2 ratio. Five-fold cross-validation was conducted in the training set to select the optimal radiomics features and establish a predictive model for distinguishing between exon 19 deletion (19Del) and exon 21 L858R point mutation (21L858R), the two most common EGFR gene mutations. The testing set was used for external validation of the models. Model performance was evaluated using receiver operating characteristic curve and decision curve analyses. ResultsOverall, 86 patients with 228 brain metastases were included. Patient age was identified as an independent predictor for distinguishing between 19Del and 21L858R. The area under the curve (AUC) values of the radiomics model in the training and testing datasets were 0.895 (95% confidence interval [CI]: 0.850−0.939) and 0.759 (95% CI: 0.0.614−0.903), respectively. The AUC for diagnosis of all cases using a combined model of age and radiomics was 0.888 (95% CI: 0.846−0.930), slightly higher than that of the radiomics model alone (0.866, 95% CI: 0.820−0.913), but without statistical significance (p=0.1626). In the decision curve analysis, both models demonstrated clinical net benefits. ConclusionsThe radiomics model based on MRI of lung adenocarcinoma brain metastases could distinguish between EGFR 19Del and 21L858R mutations in the primary lesion.

Targeting epidermal growth factor receptor and its downstream signaling pathways by natural products: A mechanistic insight.

The epidermal growth factor receptor (EGFR) is a transmembrane receptor tyrosine kinase (RTK) that maintains normal tissues and cell signaling pathways. EGFR is overactivated and overexpressed in many malignancies, including breast, lung, pancreatic, and kidney. Further, the EGFR gene mutations and protein overexpression activate downstream signaling pathways in cancerous cells, stimulating the growth, survival, resistance to apoptosis, and progression of tumors. Anti-EGFR therapy is the potential approach for treating malignancies and has demonstrated clinical success in treating specific cancers. The recent report suggests most of the clinically used EGFR tyrosine kinase inhibitors developed resistance to the cancer cells. This perspective provides a brief overview of EGFR and its implications in cancer. We have summarized natural products-derived anticancer compounds with the mechanistic basis of tumor inhibition via the EGFR pathway. We propose that developing natural lead molecules into new anticancer agents has a bright future after clinical investigation.

Correlation of MRI quantitative perfusion parameters with EGFR, VEGF and EGFR gene mutations in non-small cell cancer

To explore the relationship between quantitative perfusion histogram parameters of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with the expression of tumor tissue epidermal growth factor receptor (EGFR), vascular endothelial growth factor (VEGF) and EGFR gene mutations in non-small cell lung cancer (NSCLC). A total of 44 consecutive patients with known NSCLC were recruited from March 2018 to August 2021. Histogram parameters (mean, uniformity, skewness, energy, kurtosis, entropy, percentile) of each (Ktrans, Kep, Ve, Vp, Fp) were obtained by Omni Kinetics software. Immunohistochemistry staining was used in the detection of the expression of VEGF and EGFR protein, and the mutation of EGFR gene was detected by PCR. Corresponding statistical test was performed to compare the parameters and protein expression between squamous cell carcinoma (SCC) and adenocarcinoma (AC), as well as EGFR mutations and wild-type. Correlation analysis was used to evaluate the correlation between parameters with the expression of VEGF and EGFR protein. Fp (skewness, kurtosis, energy) were statistically significant between SCC and AC, and the area under the ROC curve were 0.733, 0.700 and 0.675, respectively. The expression of VEGF in AC was higher than in SCC. Fp (skewness, kurtosis, energy) were negatively correlated with VEGF (r = − 0.527, − 0.428, − 0.342); Ktrans (Q50) was positively correlated with VEGF (r = 0.32); Kep (energy), Ktrans (skewness, kurtosis) were positively correlated with EGFR (r = 0.622, r = 0.375, 0.358), some histogram parameters of Kep, Ktrans (uniformity, entropy) and Ve (kurtosis) were negatively correlated with EGFR (r = − 0.312 to − 0.644). Some perfusion histogram parameters were statistically significant between EGFR mutations and wild-type, they were higher in wild-type than mutated (P < 0.05). Quantitative perfusion histogram parameters of DCE-MRI have a certain value in the differential diagnosis of NSCLC, which have the potential to non-invasively evaluate the expression of cell signaling pathway-related protein.

Correlation analysis of EGFR gene mutation abundance and the efficacy of targeted therapy with osimertinib in nonsmall cell lung cancer-a case control study.

In nonsmall cell lung cancer (NSCLC), epidermal growth factor receptor (EGFR) mutation is the primary cancer-causing mutation. But whether the practical effectiveness of EGFR tyrosine kinase inhibitors (TKIs) can be influenced by plasma EGFR mutation abundance when treating patients with advanced NSCLC remains unanswered. Therefore, this research was intended to reveal the connection between plasma EGFR mutation abundance and clinical outcomes in osimertinib-treated patients with advanced NSCLC. A total of 120 patients with advanced NSCLC were retrospectively analyzed, and 56 patients with EGFR-mutation-positive NSCLC receiving osimertinib first-line therapy were eventually screened and included. The baseline status and abundance of plasma EGFR in patients with NSCLC were detected by cSMART, and the ratio of 0.1 was the critical value. Imaging examinations were performed every 8-12 weeks for the assessment of tumor response. The relationship between baseline EGFR mutation abundance and clinical outcomes of TKI therapy was analyzed. The objective response rates (ORR) of EGFR-mutant patients in the high-/low-abundance groups were 69.2% and 40.0%, respectively. The high abundance group had an obviously higher ORR than the low abundance group (P = 0.029). A much longer median progression-free survival (mPFS) was demonstrated in patients with high mutation abundance than in patients with low abundance (11.2 months vs 7.1 months, P = 0.0133). As for the median overall survival (mOS), it showed the same trend as mPFS in patients from different groups (15.5 vs 10.7 months, P = 0.0028). The role of plasma mutation abundance as an independent prognostic factor for both PFS (hazard ratios [HR]: 0.30, P = 0.006) and OS (HR: 0.35, P = 0.004) was demonstrated by multivariate Cox regression analysis. There is a close connection between plasma EGFR mutation abundance and survival benefit in patients with NSCLC, which can be used for predicting the efficacy of EGFR-TKI targeted therapy. Our study is expected to provide a research basis for screening patients to whom the EGFR-TKI therapy is beneficial.

Analysis of EGFR Gene Mutations in Lung Adenocarcinoma in Karamay, Xinjiang

Abstract Objective To investigate the mutation types and mutation rate of the epidermal growth factor receptor (EGFR) gene in patients with lung adenocarcinoma and the clinical features of lung adenocarcinoma with EGFR gene mutations in Karamay, Xinjiang, China. Methods Paraffin-embedded tissue samples of adenocarcinoma patients were collected in the Karamay Central Hospital from March 2016 to June 2019, and mutations in exon 18–21 of the EGFR gene were detected by the allele-specific amplification polymerase chain reaction (Amplification Refractory Mutation System–PCR) method. The relationships between the mutation types, mutation incidence, and clinical features were analyzed. Results Of the 170 patients with lung adenocarcinoma, 83 had EGFR mutations. The total mutation rate of EGFR in patients with lung adenocarcinoma was 48.8%, which included mutations in exons 18 (1.2% [2/170]), 19 (19.4% [33/170]), 20 (2.4% [4/170]), and 21 (20.6% [35/170]). Intriguingly, there was a case with 9 mutations in exons 20 and 21. The mutations in exon 19 of EGFR resulted in the deletion of codons 746 to 750. The main mutation in exon 21 was L858R (91.4% [32/35]). There was no significant difference in exons 19 and 21 mutation rates (P &gt; 0.05). The mutation rate of EGFR in female patients was significantly higher than that in male patients (P &lt; 0.05) but had no correlation with the age, smoking status, and clinical stage of patients with non–small cell lung cancer (P &gt; 0.05). The EGFR mutation rate may be related to the degree of tumor differentiation. Conclusion Among patients with lung adenocarcinoma in Kelamayi (city in Xinjiang), EGFR mutations were more frequently detected in female patients, and the main sites of mutations were exons 19 and 21.

Impact of RBM10 and PD-L1 expression on the prognosis of pathologic N1-N2 epidermal growth factor receptor mutant lung adenocarcinoma.

Impact of RNA-binding motif protein 10 (RBM10) and programmed death-ligand 1 (PD-L1) on the postoperative prognosis of patients with epidermal growth factor receptor gene mutation (EGFR-Mt) lung adenocarcinoma with pathological lymph node metastasis is still unclear. Patients who underwent curative surgery for pN1-N2 EGFR-Mt lung adenocarcinoma (n=129) harboring the EGFR exon 19 deletion mutation (Ex19) (n=66) or EGFR exon 21 L858R mutation (Ex21) (n=63) between January 2010 and December 2020 were included in this retrospective study. The prognoses of patients with low/high cytoplasmic RBM10 expression and PD-L1 negativity/positivity based on immunohistochemistry (IHC) of resected specimens were compared using the log-rank test. The effects of RBM10 and PD-L1 expression on overall survival (OS) were examined via multivariable analysis using the Cox proportional hazards regression model. The effects of RBM10 and PD-L1 expression on progression-free survival (PFS) of EGFR-tyrosine kinase inhibitors (TKIs) therapy among patients with recurrent pN1-N2 EGFR-Mt lung adenocarcinoma (n=67) were examined using log-rank tests. The RBM10 low expression group showed significantly better 5-year OS than the RBM10 high expression group (89.4% vs. 71.5%, P=0.020), and the PD-L1 negative group tended to have longer 5-year OS than the PD-L1 positive group (86.4% vs. 68.4%, P=0.050). Multivariable analysis showed that high RBM10 expression [hazard ratio (HR), 3.12; 95% confidence interval (CI): 1.19-8.17; P=0.021] and PD-L1 positivity (HR, 3.80; 95% CI: 1.64-8.84; P=0.002) were independent poor prognostic factors for OS. PFS of patients with relapse and first-line EGFR-TKI treatment was significantly better in the PD-L1-negative group than in the PD-L1-positive group (34.5 vs. 12.1 months, P=0.045). PFS of patients with Ex21 relapse and first-line EGFR-TKI treatment was significantly better in the RBM10 low expression group than in the RBM10 high expression group (25.5 vs. 13.0 months, P=0.025). High RBM10 expression and PD-L1 positivity are poor prognostic factors for OS in patients with pN1-N2 EGFR-Mt lung adenocarcinoma after curative surgery. In patients with recurrent pN1-N2 EGFR-Mt lung adenocarcinoma, PD-L1 and RBM10 expression may influence response to EGFR-TKIs.

Molecular study of colorectal carcinoma and EGFR gene mutations.

The development of various human tumors can be related to the activation of the Epidermal growth factor receptor (EGFR) and its subsequent signaling pathways. There are so much alertness and awareness that has been given to the EGFR pathway recently because EGFR and some downstream components together render as targets for anticancer therapy. The EGFR pathway and its impact on colorectal carcinogenesis and assessments are the assertiveness in this paper. In this study, we took 1034 patients with colorectal carcinoma that were recorded as a medical survey we used a standard questionnaire for those patients and we used real time PCR for 30 patients from 134 cases that have colorectal carcinoma to detect if there is any mutation in the EGFR gene. We chose 4 exons for that purpose which were exons (18),(19),(20) and (21) of the EGFR gene. After deparaffinization and DNA extraction from the tissues of patients with colorectal carcinoma, we used real-time PCR technique by using (Rotor gene) kit and we were run our samples with the control group of the same patients and internal control from the kit to compare if there was any mutation but there was not any mutation in those exons of our (30) samples of paraffin-embedded (FFPE) tissues.

Effect of SLC7A11 gene downregulation on the gefitinib resistance of lung adenocarcinoma PC9/GR cells and its mechanism

Objective: To screen the key genes involved in gefitinib resistance of lung adenocarcinoma PC9/GR cells which harbored 19 exon mutation of epidermal growth factor receptor (EGFR) gene, and discuss the effect and mechanism of downregulation of solute carrier family 7 member 11 (SLC7A11) on the gefitinib resistance of PC9/GR cells. Methods: RNA microarray was conducted to detect the gene expressions in PC9 and PC9/GR cells. The differently expressed genes were screened by using limma package of R language and analyzed by Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. Western blotting was performed to determine the expression of SLC7A11 protein in PC9 and PC9/GR cells. PC9/GR cells were infected with lentivirus plasmid containing short hairpin RNA (shRNA) targeting SLC7A11 or negative control shRNA (sh-NC), respectively. Real-time quantitative polymerase chain reaction (RT-qPCR) was performed to evaluate the efficacy of shRNA on the expression of SLC7A11 mRNA. Cell counting kit-8 (CCK-8) assay was conducted to determine the suppressing effect of gefitinib on PC9/GR cells. Mito-Tracker Red CMXRos probe and malondialdehyde (MDA) assay kit were used to evaluate gefitinib-induced ferroptosis in PC9/GR cells. Immunohistochemistry (IHC) was conducted to detect the expression of SLC7A11 protein in the tumor tissues of advanced stage lung adenocarcinoma patients harboring 19 exon mutation of EGFR gene. Thirty-six advanced stage lung adenocarcinoma patients who received EGFR-tyrosihe kinase inhibitor(TKI) as first-line treatment in Fourth Hospital of Hebei Medical Unviersity were enrolled. Kaplan-Meier survival curve was drawn to analyze the correlation between SLC7A11 expression and progression-free survival (PFS) of the patients. Results: RNA array demonstrated that 2 888 genes were differently expressed between PC9 and PC9/GR cells. KEGG analysis showed that ferroptosis-related gene was one of the most enriched region of the differently expressed genes between PC9 and PC9/GR cells. These ferroptosis-related gene cohort contained 13 genes, among which SLC7A11 exhibited the most significant difference. Western blotting showed that the expression of SLC7A11 protein in PC9/GR cells was significantly higher than that in PC9 cells (0.76±0.03 vs. 0.19±0.02, P<0.001). The 50% inhibiting concentration (IC(50)) of gefitinib was 35.08 μmol/L and 64.01 μmol/L for sh-SLC7A11 and sh-NC group PC9/GR cells, respectively. PC9/GR cells in sh-SLC7A11 group exhibited significantly lower density of mitochondria fluorescence after gefitinib treatment, compared to the sh-NC group (213.77±26.50 vs. 47.88±4.55, P<0.001). In addition, PC9/GR cells in sh-SLC7A11 group exhibited significantly higher MDA after gefitinib treatment, compared to the sh-NC group [(15.43±1.60) μmol/mg vs. (82.18±7.77) μmol/mg, P<0.001]. The PFS of the patients with low expression of SLC7A11 (n=18) was significantly longer than the patients with high expression of SLC7A11 (n=18, 16.77 months vs. 9.14 months, P<0.001). Conclusion: Downregulation of SLC7A11 could increase the sensitivity of PC9/GR cells to gefitinib by promoting ferroptosis.

In silico screening of alkaloids as potential inhibitors of epidermal growth factor receptor

The epidermal growth factor receptor (EGFR) belongs to the HER/erbB receptor tyrosine kinase (RTK) family, serving as a crucial target for cancer treatment. Anti-EGFR drugs, used as a primary treatment for patients with advanced EGFR gene mutations such as T790M, C797S, and L858R, have shown greater efficacy and safety compared to standard chemotherapy. This study aimed to screen alkaloid compounds with anticancer activity, extracted from the Selleckchem database that inhibit EGFR enzyme activity. The structure of the EGFR receptor was retrieved from the Protein Data Bank, whilst compounds were gathered from the alkaloids library within the Selleckchem database, with their structures downloaded from the PubChem database. Molecular docking was performed using Autodock Vina software. Lipinski’s rule of five was employed to distinguish between compounds with drug-like and non-drug-like properties. The pharmacokinetic parameters of potential compounds were evaluated using the pkCSM tool. Our research indicates that amongst the screened alkaloids, four compounds - peiminine, sanguinarine chloride, dauricine, and irinotecan - are the most promising inhibitors of the EGFR receptor for the treatment of lung cancer. These compounds exhibit high binding affinity for the active sites of EGFR, thus inhibiting its activity. All aforementioned compounds adhere to Lipinski’s rule and possess pharmacokinetic properties (absorption, distribution, metabolism, excretion, and toxicity - ADMET) that render them suitable for development into drugs.

SUMOylation of AnxA6 facilitates EGFR-PKCα complex formation to suppress epithelial cancer growth

BackgroundThe Annexin A6 (AnxA6) protein is known to inhibit the epidermal growth factor receptor (EGFR)-extracellular signal regulated kinase (ERK)1/2 signaling upon EGF stimulation. While the biochemical mechanism of AnxA6 inactivating phosphorylation of EGFR and ERK1/2 is not completely explored in cancer cells.MethodsCells were transiently co-transfected with pFlag-AnxA6, pHA-UBC9 and pHis-SUMO1 plasmids to enrich the SUMOylated AnxA6 by immunoprecipitation, and the modification level of AnxA6 by SUMO1 was detected by Western blot against SUMO1 antibody. The SUMOylation level of AnxA6 was compared in response to chemical SUMOylation inhibitor treatment. AnxA6 SUMOylation sites were further identified by LC–MS/MS and amino acid site mutation validation. AnxA6 gene was silenced through AnxA6 targeting shRNA-containing pLKO.1 lentiviral transfection in HeLa cells, while AnxA6 gene was over-expressed within the Lenti-Vector carrying AnxA6 or mutant AnxA6K299R plasmid in A431 cells using lentiviral infections. Moreover, the mutant plasmid pGFP-EGFRT790M/L858R was constructed to test AnxA6 regulation on EGFR mutation-induced signal transduction. Moreover, cell proliferation, migration, and gefitinib chemotherapy sensitivity were evaluated in HeLa and A431 cells under AnxA6 konckdown or AnxA6 overexpression by CCK8, colony form and wound healing assays. And tumorigenicity in vivo was measured in epithelial cancer cells-xenografted nude mouse model.ResultsAnxA6 was obviously modified by SUMO1 conjugation within Lys (K) residues, and the K299 was one key SUMOylation site of AnxA6 in epithelial cancer cells. Compared to the wild type AnxA6, AnxA6 knockdown and its SUMO site mutant AnxA6K299R showed less suppression of dephosphorylation of EGFR-ERK1/2 under EGF stimulation. The SUMOylated AnxA6 was prone to bind EGFR in response to EGF inducement, which facilitated EGFR-PKCα complex formation to decrease the EGF-induced phosphorylation of EGFR-ERK1/2 and cyclin D1 expression. Similarly, AnxA6 SUMOylation inhibited dephosphorylation of the mutant EGFR, thereby impeding EGFR mutation-involved signal transduction. Moreover, AnxA6 knockdown or the K299 mutant AnxA6K299R conferred AnxA6 inability to suppress tumor progression, resulting in drug resistance to gefitinib in epithelial cancer cells. And in epithelial cancer cells-xenografted nude mouse model, both the weight and size of tumors derived from AnxA6 knockdown or AnxA6K299R mutation-expressing cells were much greater than that of AnxA6-expressing cells.ConclusionsBesides EGFR gene mutation, protein SUMOylation modification of EGFR-binding protein AnxA6 also functions pivotal roles in mediating epithelial cancer cell growth and gefitinib drug effect.4V8MbH9D2-V-dxkGbe_YjXVideo

Feasibility analysis of rapid gene detection using intraoperative frozen tissues: comparison of intraoperative frozen tissues with paraffin-embedded tissues in epidermal growth factor receptor gene mutation detection of lung adenocarcinoma.

Epidermal growth factor receptor (EGFR) is the driver gene with the highest frequency of mutations in lung adenocarcinoma and can guide the development of targeted therapies. The detection of routine gene mutations must be performed after the preparation of paraffin samples in a standard polymerase chain reaction (PCR) laboratory, which is time-consuming. The Idylla™ EGFR fully automatic PCR system for rapid detection requires no special detection environment and completes the process in only 2.5h. It has been applied to tissues embedded in paraffin. The Idylla™ EGFR automated PCR system was used to detect EGFR gene mutations in intraoperative frozen fresh tissues and paraffin-embedded tissues from 47 enrolled patients with lung adenocarcinoma. The gold standard amplification refractory mutation system (ARMS) method for gene mutation detection was used for verification, and the concordance between the three detection results was compared, to investigate the feasibility of detecting rapid gene mutations in intraoperative frozen samples. The EGFR mutation rate in 47 fresh samples of lung adenocarcinoma was 61.7% (29/47), which is consistent with the mutation level of lung adenocarcinoma in the Asian population (38.8-64.0%). The concordance rate between the Idylla™ frozen tissues and paraffin-embedded tissues was 91.4% (43/47) when compared to the ARMS method, while the coincidence rate between the two methods was 93.6% (44/47). The three methods had a total consistency rate of 89.4% (42/47). The Idylla™ EGFR fully automatic PCR system directly detects EGFR mutations in fresh tissues. The operation is simple, the detection time is short, and the accuracy is high. The detection time is reduced to 1/4-1/3 of the original time while meeting clinical standards for detecting the gene status of patients, thus saving crucial time for individualized and accurate treatment of patients. The method has promising clinical application prospects.

Etoposide/platinum plus anlotinib for patients with transformed small-cell lung cancer from EGFR-mutant lung adenocarcinoma after EGFR-TKI resistance: a retrospective and observational study.

The histological conversion of lung adenocarcinoma (LUAD) into small-cell lung cancer (SCLC) is an important resistance mechanism for epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI)-resistant LUAD. Anlotinib has been recommended as the third-line treatment for SCLC patients. The efficacy of etoposide/platinum (EP) as the main treatment is very limited for patients with transformed SCLC. However, little is known about EP plus anlotinib for transformed SCLC. The present study retrospectively explored the clinical response to EP combined with anlotinib in patients with transformed SCLC from LUAD after EGFR-TKI failure. A total of 10 patients who underwent SCLC transformation from EGFR-TKI-resistant LUAD were retrospectively reviewed from September 1, 2019, to December 31, 2022, in three regional hospitals. All of the patients were treated with the combination regimen of EP and anlotinib for four to six cycles, followed by anlotinib maintenance therapy. The clinical efficacy indices including objective response rate (ORR), disease control rate (DCR), median progression-free survival (mPFS), median overall survival (mOS), and toxicities were evaluated. The median time from EGFR-TKI treatment to SCLC conversion was 20.1 ± 2.76 months (17-24 months). Genetic examination after transformation showed that 90% of the patients retained their original EGFR gene mutations. Additional driver genes were found, including BRAF mutation (10%), PIK3CA mutation (20%), RB1 loss (50%), and TP53 mutation (60%). The ORR and DCR were 80% and 100%, respectively. The mPFS was 9.0 months (95% CI, 7.9-10.1 months), and the mOS was 14.0 months (95% CI, 12.0-15.9 months). Less than 10% of grade 3 toxicities were observed, and no grade 4 toxicity and death events were reported. The EP plus anlotinib regimen appears to be a promising and safe strategy in transformed SCLC patients after EGFR-TKI resistance, which warrants further investigation.

Relationship between the image characteristics of artificial intelligence and EGFR gene mutation in lung adenocarcinoma.

Lung Adenocarcinoma (LUAD) is a kind of Lung Cancer (LCA) with high incidence rate, which is very harmful to human body. It is hidden in the human body and is not easy to be discovered, so it brings great inconvenience to the treatment of LUAD. Artificial Intelligence (AI) technology provides technical support for the diagnosis and treatment of LUAD and has great application space in intelligent medicine. In this paper, 164 patients with primary LUAD who underwent surgery in Hospital A from January 2020 to December 2021 were selected as the study subjects, and the correlation between the imaging characteristics of LUAD and Epidermal Growth Factor Receptor (EGFR) gene mutation was analyzed. Finally, the conclusion was drawn. In terms of the study on the correlation between EGFR mutation of LUAD and the imaging characteristics of Computed Tomography (CT), it was concluded that there were significant differences between the patient's sex, smoking history, pulmonary nodule morphology and the EGFR gene, and there was no significant difference between the patient's tumor size and EGFR gene; in the study of the relationship between EGFR gene mutation and CT signs of LUAD lesions, it was found that there were significant differences between the symptoms of cavity sign, hair prick sign and chest depression sign and EGFR gene, but there was no significant difference between the symptoms of lobulation sign and EGFR gene; in the study of pathological subtype and EGFR gene mutation status of LUAD patients, it was concluded that the pathological subtype was mainly micropapillary. The mutation rate was 44.44%, which was the highest; in terms of CT manifestations of adjacent structures of lung cancer and the study of EGFR gene mutation status, it was found that there was a statistical difference between the tumor with vascular convergence sign and EGFR gene mutation, and pleural effusion, pericardial effusion, pleural thickening and other signs in tumor imaging were not significantly associated with EGFR gene mutation; in terms of the study of CT manifestations of adjacent structures of LCA and EGFR gene mutation status, it was concluded that pleural effusion, pericardial effusion, pleural thickening and other signs in tumor images were not significantly associated with EGFR gene mutation; in terms of analysis and cure of LUAD, it was concluded that the cure rate of patients was relatively high, and only a few people died of ineffective treatment. This paper provided a reference for the field of intelligent medicine and physical health.

Savolitinib for non-small cell lung cancer

Savolitinib is a highly selective MET tyrosine kinase inhibitor. MET is involved in numerous cellular processes such as proliferation, differentiation and the formation of distant metastases. MET amplification and MET overexpression are quite common in many cancers, but MET exon 14 skipping alteration is most common in non-small cell lung cancer (NSCLC). The role of MET signaling as a bypass pathway in the development of acquired resistance to tyrosine kinase inhibitor (TKI) epidermal growth factor receptor (EGFR) therapy in cancer patients with EGFR gene mutation was documented. Potential beneficiaries of savolitinib therapy are patients with NSCLC and initial diagnosis of MET ex 14 skipping mutation. Savolitinib therapy can be effective in NSCLC patients with EGFR-mutant MET with progression during first-line treatment with an EGFR-TKI. Antitumor activity of savolitinib in combination with osimertinib is very promising as first-line therapy of patients with advanced EGFR-mutated NSCLC, initially with MET expression. The safety profile of savolitinib as monotherapy and in combination with osimertinib or gefitinib is so favorable in all available studies that this drug has become a very promising therapeutic option and is being intensively investigated in ongoing clinical trials.