Bronchioloalveolar pathologic subtype and smoking history predict sensitivity to gefitinib in advanced non-small-cell lung cancer

Features of tumor-microenvironment images predict targeted therapy survival benefit in patients with EGFR-mutant lung cancer

Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effective for many patients with lung cancer with EGFR mutations. However, not all patients are responsive to EGFR TKIs, including even those harboring EGFR-sensitizing mutations. In this study, we quantified the cells and cellular interaction features of the tumor microenvironment (TME) using routine H&E-stained biopsy sections. These TME features were used to develop a prediction model for survival benefit from EGFR TKI therapy in patients with lung adenocarcinoma and EGFR-sensitizing mutations in the Lung Cancer Mutation Consortium 1 (LCMC1) and validated in an independent LCMC2 cohort. In the validation data set, EGFR TKI treatment prolonged survival in the predicted-to-benefit group but not in the predicted-not-to-benefit group. Among patients treated with EGFR TKIs, the predicted-to-benefit group had prolonged survival outcomes compared with the predicted not-to-benefit group. The EGFR TKI survival benefit positively correlated with tumor-tumor interaction image features and negatively correlated with tumor-stroma interaction. Moreover, the tumor-stroma interaction was associated with higher activation of the hepatocyte growth factor/MET-mediated PI3K/AKT signaling pathway and epithelial-mesenchymal transition process, supporting the hypothesis of fibroblast-involved resistance to EGFR TKI treatment.

EGFR signaling pathway as therapeutic target in human cancers

Epidermal Growth Factor Receptor (EGFR) enacts major roles in the maintenance of epithelial tissues. However, when EGFR signaling is altered, it becomes the grand orchestrator of epithelial transformation, and hence one of the most world-wide studied tyrosine kinase receptors involved in neoplasia, in several tissues. In the last decades, EGFR-targeted therapies shaped the new era of precision-oncology. Despite major advances, the dream of converting solid tumors into a chronic disease is still unfulfilled, and long-term remission eludes us. Studies investigating the function of this protein in solid malignancies have revealed numerous ways how tumor cells dysregulate EGFR function. Starting from preclinical models (cell lines, organoids, murine models) and validating in clinical specimens, EGFR-related oncogenic pathways, mechanisms of resistance, and novel avenues to inhibit tumor growth and metastatic spread enriching the therapeutic portfolios, were identified. Focusing on non-small cell lung cancer (NSCLC), where EGFR mutations are major players in the adenocarcinoma subtype, we will go over the most relevant discoveries that led us to understand EGFR and beyond, and highlight how they revolutionized cancer treatment by expanding the therapeutic arsenal at our disposal.

I2/CuCl2-Copromoted Formal [4 + 1 + 1] Cyclization of Methyl Ketones, 2-Aminobenzonitriles, and Ammonium Acetate: Direct Access to 2-Acyl-4-aminoquinazolines

We herein report an I₂/CuCl₂-copromoted diamination of C(sp³)-H bonds for the preparation of 2-acyl-4-aminoquinazolines from methyl ketones, 2-aminobenzonitriles, and ammonium acetate. This reaction features operational simplicity, commercially available substrates, mild reaction conditions, and good functional group compatibility. Mechanistic studies indicate that CuCl₂ plays a pivotal role in this transformation. This study uses a methyl group as a novel input to construct 2-acyl-4-aminoquinazoline derivatives for the first time.

Lung cancer risk in never-smokers: An overview of environmental and genetic factors

Lung cancer is the leading cause of cancer-related mortality globally, accounting for 1.8 million deaths in 2020. While the vast majority are caused by tobacco smoking, 15%-25% of all lung cancer cases occur in lifelong never-smokers. The International Agency for Research on Cancer (IARC) has classified multiple agents with sufficient evidence for lung carcinogenesis in humans, which include tobacco smoking, as well as several environmental exposures such as radon, second-hand tobacco smoke, outdoor air pollution, household combustion of coal and several occupational hazards. However, the IARC evaluation had not been stratified based on smoking status, and notably lung cancer in never-smokers (LCINS) has different epidemiological, clinicopathologic and molecular characteristics from lung cancer in ever-smokers. Among several risk factors proposed for the development of LCINS, environmental factors have the most available evidence for their association with LCINS and their roles cannot be overemphasized. Additionally, while initial genetic studies largely focused on lung cancer as a whole, recent studies have also identified genetic risk factors for LCINS. This article presents an overview of several environmental factors associated with LCINS, and some of the emerging evidence for genetic factors associated with LCINS. An increased understanding of the risk factors associated with LCINS not only helps to evaluate a never-smoker's personal risk for lung cancer, but also has important public health implications for the prevention and early detection of the disease. Conclusive evidence on causal associations could inform longer-term policy reform in a range of areas including occupational health and safety, urban design, energy use and particle emissions, and the importance of considering the impacts of second-hand smoke in tobacco control policy.

The status of WIF1 methylation in cell-free DNA is associated with the insusceptibility for gefitinib in the treatment of lung cancer

BACKGROUND

Targeted cancer therapy has shed light on the treatment of tumor, especially for patients with non-small cell lung cancer. However, only a limited portion of NSCLC patients carrying specific mutations showed an ideal drug response. In addition, DNA methylation status showed a great potential for cancer detection and prognosis prediction.

METHODS

Bisulfite sequencing was performed to analyze the DNA methylation of WIF1 promoter in cfDNA and tumor tissue samples collected from NSCLC patients. PFS and OS analyses were carried out to evaluate the prognosis of gefitinib treatment in patients with differential levels of WIF1 DNA methylation. Quantitative real-time PCR was used to analyze the expression of WIF1 mRNA, while immunohistochemistry was performed to assess the expression of WIF1 protein. Furthermore, ELISA was carried out to evaluate the WIF1 activity in plasma.

RESULTS

The DNA methylation level of WIF1 promoter was lower in the cfDNA of NSCLC patients with a complete or partial response to gefitinib, and NSCLC patients with hypomethylated WIF1 showed better PFS and OS. The DNA methylation of WIF1 promoter in the resected tumor tissues was consistent with WIF1 DNA methylation in cfDNA, indicating that cfDNA was mainly derived from lung cancer tissues. As a result, the expression of WIF1 in tissue samples and the WIF1 activity in plasma was inhibited in patients with hypermethylated WIF1. Moreover, the cell viability of gefitinib-resistant cells was decreased by the suppressed WIF1 methylation in vitro. And the expression level of WIF1 mRNA was higher in gefitinib-resistant cells overexpressing ALKBH5, a known suppressor of WIF1 methylation.

CONCLUSION

In summary, the findings of this study demonstrated that the level of WIF1 methylation in cfDNA was associated with the insusceptibility of gefitinib in the treatment of lung cancer.

Epidermal Growth Factor Receptor Expression and Resistance Patterns to Targeted Therapy in Non-Small Cell Lung Cancer: A Review

Globally, lung cancer is the leading cause of cancer-related death. The majority of non-small cell lung cancer (NSCLC) tumours express epidermal growth factor receptor (EGFR), which allows for precise and targeted therapy in these patients. The dysregulation of EGFR in solid epithelial cancers has two distinct mechanisms: either a kinase-activating mutation in EGFR (EGFR-mutant) and/or an overexpression of wild-type EGFR (wt-EGFR). The underlying mechanism of EGFR dysregulation influences the efficacy of anti-EGFR therapy as well as the nature of resistance patterns and secondary mutations. This review will critically analyse the mechanisms of EGFR expression in NSCLC, its relevance to currently approved targeted treatment options, and the complex nature of secondary mutations and intrinsic and acquired resistance patterns in NSCLC.

DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy

Immuno-oncology (IO) therapies have transformed the therapeutic landscape of non-small cell lung cancer (NSCLC). However, patient responses to IO are variable and influenced by a heterogeneous combination of health, immune, and tumor factors. There is a pressing need to discover the distinct NSCLC subgroups that influence response. We have developed a deep patient graph convolutional network, we call "DeePaN", to discover NSCLC complexity across data modalities impacting IO benefit. DeePaN employs high-dimensional data derived from both real-world evidence (RWE)-based electronic health records (EHRs) and genomics across 1937 IO-treated NSCLC patients. DeePaN demonstrated effectiveness to stratify patients into subgroups with significantly different (P-value of 2.2 × 10-11) overall median survival of 20.35 months and 9.42 months post-IO therapy. Significant differences in IO outcome were not seen from multiple non-graph-based unsupervised methods. Furthermore, we demonstrate that patient stratification from DeePaN has the potential to augment the emerging IO biomarker of tumor mutation burden (TMB). Characterization of the subgroups discovered by DeePaN indicates potential to inform IO therapeutic insight, including the enrichment of mutated KRAS and high blood monocyte count in the IO beneficial and IO non-beneficial subgroups, respectively. Our work has proven the concept that graph-based AI is feasible and can effectively integrate high-dimensional genomic and EHR data to meaningfully stratify cancer patients on distinct clinical outcomes, with potential to inform precision oncology.

From the Broad Phase II Trial to Precision Oncology: A Perspective on the Origins of Basket and Umbrella Clinical Trial Designs in Cancer Drug Development

Oncologic phase II trials that evaluate the activity of new therapeutic agents have evolved dramatically over the past 50 years. The standard approach beginning in the late 1960s focused on individual studies that evaluated new anticancer agents against a wide range of both solid and hematopoietic malignancies often in a single "broad phase II trial" that included hundreds of patients; such studies efficiently established the landscape for subsequent development of a specific drug with respect to likely disease focus, toxicity, dose, and schedule. In the 1980s and 1990s, emphasis on histological context drove an explosion in the number of individual phase II trials conducted; despite this increase in trial activity, investigations based on histology per se failed to improve the success rate of new agents brought to the clinic. Over the past 20 years, evolution toward a molecular drug development paradigm has demonstrably improved our ability to select patients more likely to benefit from systemic treatment; simultaneously, technological advances have permitted initial attempts at the rapid assignment of therapy based on predefined molecular characteristics of tumor or germline in broad-based master protocols that are inclusive of many diseases and molecularly characterized disease subsets, akin to but much more sophisticated scientifically than the broad phase II platforms of the past.

Non-small Cell Lung Cancer as a Chronic Disease - A Prospective Study from the Czech TULUNG Registry

AIM

To compare survival outcomes in patients with non-small cell lung cancer (NSCLC) treated with modern-era drugs (antifolates, antiangiogenics, tyrosine kinase and anaplastic lymphoma kinase inhibitors, immunotherapy) with treatment initiation in 2011-12 and 2015-16, respectively.

PATIENTS AND METHODS

Prospective data from Czech TULUNG Registry (960 patients from 2011-12 and 512 patients from 2015-16) were analyzed. Kaplan-Meier analysis was used to estimate overall survival (OS) and progression-free survival (PFS); Cox proportional hazards model to assess factors associated with 2-year survival.

RESULTS

Survival at 2 years was more frequent in cohort 2015-16 compared to cohort 2011-12 (43.2% vs. 24% for adenocarcinoma; p<0.001 and 28.7% vs. 11.8% for squamous-cell lung carcinoma; p=0.002). Assignment to cohort 2015-16 and treatment multilinearity (two or more lines in sequence) were associated with higher probability of 2-year survival (hazard ratio=0.666 and hazard ratio=0.597; p<0.001). Comparison of 2-year survivors from both cohorts showed no differences.

CONCLUSION

Survival at 2 years probability in stage IIIB-IV NSCLC doubled between 2011-12 and 2015-16; advanced-stage NSCLC may be considered a chronic disease in a large proportion of patients.

An EGFR signature predicts cell line and patient sensitivity to multiple tyrosine kinase inhibitors

EGFR is an oncogene with a high frequency of activating mutations in nonsmall cell lung cancer (NSCLC). EGFR inhibitors have been FDA-approved for NSCLC and have shown efficacy in patients with certain EGFR mutations. However, only 9% to 26% of these patients achieve objective responses. In our study, we developed an EGFR gene signature based on The Cancer Genome Atlas (TCGA) RNA-seq data of lung adenocarcinoma (LUAD) to direct the preselection of patients for more effective EGFR-targeted therapy. This signature infers baseline EGFR signaling pathway activity (denoted as EGFR score) in tumor samples, which is associated with tumor sensitivity to EGFR inhibitors and other tyrosine kinase inhibitors (TKIs). EGFR score predicted sensitivity of lung cancer cell lines to Erlotinib, Gefitinib and Sorafenib. Importantly, EGFR score calculated from pretreated samples was associated with patient response to Gefitinib and Sorafenib in lung cancer. Additionally, integration of the EGFR signature with TCGA LUAD data showed that it accurately predicted functional effects of different somatic EGFR mutations, and identified other mutations affecting EGFR pathway activity. Finally, using cancer cell line and clinical trial data, the EGFR score was associated with patient response to TKIs in liver cancer and other cancer types. The EGFR signature provides a useful biomarker that can expand the application of EGFR inhibitors or other TKIs and improve their treatment efficacy through patient stratification.

First-iGAP: A Randomized Placebo-Controlled Phase II Study of First-line Intercalated Gefitinib and Pemetrexed-Cisplatin Chemotherapy for Never-Smoker Lung Adenocarcinoma Patients

BACKGROUND

We aimed to evaluate whether intercalated combination of EGFR tyrosine kinase inhibitor gefitinib and chemotherapy improves survival outcomes in never-smokers with advanced lung adenocarcinoma.

PATIENTS AND METHODS

Never-smokers with chemo-naive stage IIIB/IV lung adenocarcinoma were randomly assigned to receive either gefitinib or placebo on days 5 to 18 of a 3-weekly cycle of pemetrexed and cisplatin. Chemotherapy was given up to 9 cycles, after which gefitinib or placebo was given daily. Patients in the placebo arm who had progression were crossed over to receive gefitinib.

RESULTS

Between June 2012 and December 2014, 76 patients with median age of 58.0 years were randomized, 39 on gefitinib and 37 on the placebo arm. EGFR mutation was positive in 34 (44.7%) patients. Baseline characteristics were well balanced between the 2 arms. The gefitinib arm had a better response rate (79.5% vs. 51.4%, P = .010) and median progression-free survival (PFS) (12.4 vs. 6.7 months, hazard ratio [HR] 0.49, P = .005) than the placebo arm; however, there was no statistically significant difference in median overall survival between the 2 arms (31.8 vs. 22.9 months, HR 0.78, P = .412). The PFS benefit of intercalated use of gefitinib over placebo was more apparent for patients with EGFR-mutant tumors (13.3 vs. 7.8 months, P = .025) than those with EGFR-wild-type tumors (8.2 vs. 6.6 months, P = .063). Overall, there was no difference in the frequency of severe adverse effect between the 2 arms.

CONCLUSIONS

Intercalated combination of gefitinib with pemetrexed and cisplatin was well tolerated and improved PFS in never-smoker patients with lung adenocarcinoma.

Genomics and the History of Precision Oncology

Progress toward the implementation of a molecular characterization paradigm in cancer drug development over the past 20 years has markedly enhanced our capability to select patients who are more likely to benefit from cancer therapy. Improvements in genomic and related diagnostic testing platforms have permitted evaluation of the efficacy of treatment assignment based on predefined biologic features of a patient's tumor or germline using master protocols that may include many malignancies and their molecularly characterized subsets. With this approach, a wide range of new targeted and immunologic treatment approaches have been defined for patients who, heretofore, lacked effective therapeutic options.

TMSOTf-catalyzed synthesis of substituted quinazolines using hexamethyldisilazane as a nitrogen source under neat and microwave irradiation conditions

An efficient synthetic route for the synthesis of substituted quinazolines under neat, metal-free and microwave irradiation conditions has been developed by using TMSOTf as an acid catalyst and HMDS as a nitrogen source.

Traditional Chinese Medicine Prolongs Progression-Free Survival and Enhances Therapeutic Effects in Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor (EGFR-TKI)Treated Non-Small-Cell Lung Cancer (NSCLC) Patients Harboring EGFR Mutations

Background

Lung cancer is the most common cause of cancer-associated deaths worldwide. This study aimed to investigate the efficacy and safety of Traditional Chinese Medicine combining EGFR-TKIs in treatment of NSCLC patients harboring EGFR mutations.

Material/Methods

This study involved 153 advanced-stage NSCLC patients harboring EGFR mutations. Patients were divided into a Control group (administered EGFR-TKI, n=61) and an Experimental group (administered Traditional Chinese Medicine combining EGFR and TKI, n=92). Progression-free survival (PFS) was evaluated for exon 19 deletion and/or 21 deletion patients. Disease control rate (DCR) was assessed to observe therapeutic effects. Adverse effects, including rashes, diarrhea, ALT/AST increase, dental ulcers, and onychia lateralis, were also evaluated.

Results

TCM combining EGFR-TKI (90.11%) demonstrated no DCR improvement compared to single EGFR-TKI (83.33%) (p>0.05). Median PFS (mPFS) of TCM combining EGFR-TKI (13 months) was significantly longer compared to that in the single EGFR-TKI group (8.8 months) (p=0.001). For 19DEL mutant NSCLC, the mPFS (11 months) in TCM combining EGFR-TKI was significantly longer compared to single EGFR-TKI (8.5 months) (p=0.007). The mPFS of L858 mutant NSCLC patients in EGFR-TKI combining CTM (14 months) was significantly longer compared to single EGFR-TKI (9.5 months) (p=0.015). TCM combining EGFR-TKI was more inclined to prolong mPFS of NSCLC with exon 21 deletion. TCM combining EGFR-TKI illustrated no additional adverse effects in NSCLC patients (p=0.956).

Conclusions

Application of Traditional Chinese Medicine prolonged progression-free survival and enhanced therapeutic effect in NSCLC patients harboring EGFR mutations receiving EGFR-TKI treatment. Meanwhile, adjunctive Chinese medicine combining EGFR-TKI in NSCLC with EGFR mutations caused no adverse effects.

Metabolic gene NR4A1 as a potential therapeutic target for non-smoking female non-small cell lung cancer patients

Background

Although cigarette smoking is considered one of the key risk factors for lung cancer, 15% of male patients and 53% of female patients with lung cancer are non‐smokers. Metabolic changes are critical features of cancer. Therapeutic target identification from a metabolic perspective in non‐small cell lung cancer (NSCLC) tissue of female non‐smokers has long been ignored.

Results

Based on microarray data retrieved from Affymetrix expression arrays E‐GEOD‐19804, we found that the downregulated genes in non‐smoking female NSCLC patients tended to participate in protein/amino acid and lipid metabolism, while upregulated genes were more involved in protein/amino acid and carbohydrate metabolism. Combining nutrient metabolic co‐expression, protein–protein interaction network construction and overall survival assessment, we identified NR4A1 and TIE1 as potential therapeutic targets for NSCLC in female non‐smokers. To accelerate the drug development for non‐smoking female NSCLC patients, we identified nilotinib as a potential agonist targeting NR4A1 encoded protein by molecular docking and molecular dynamic stimulation. We also show that nilotinib inhibited proliferation and induced senescence of cells in non‐smoking female NSCLC patients in vitro.

Conclusions

These results not only uncover nutrient metabolic characteristics in non‐smoking female NSCLC patients, but also provide a new paradigm for identifying new targets and drugs for novel therapy for such patients.

Non-Smoking-Associated Lung Cancer: A distinct Entity in Terms of Tumor Biology, Patient Characteristics and Impact of Hereditary Cancer Predisposition

Non-small cell lung cancer (NSCLC) in non-, and especially in never-smoking patients is considered a biologically unique type of lung cancer, since risk factors and tumorigenic conditions, other than tobacco smoke, come into play. In this review article, we comprehensively searched and summarized the current literature with the aim to outline what exactly triggers lung cancer in non-smokers. Changes in the tumor microenvironment, distinct driver genes and genetic pathway alterations that are specific for non-smoking patients, as well as lifestyle-related risk factors apart from tobacco smoke are critically discussed. The data we have reviewed highlights once again the importance of personalized cancer therapy, i.e., careful molecular and genetic assessment of the tumor to provide tailored treatment options with optimum chances of good response-especially for the subgroups of never-smokers.

Comparison of Clinicopathological Features and Prognosis between ALK Rearrangements and EGFR Mutations in Surgically Resected Early-stage Lung Adenocarcinoma

Background: A number of mutations in key oncogenes have been identified as important for the initiation and maintenance of lung adenocarcinoma (LAC). This study elucidated the prevalence and prognostic significance of mutations in the epidermal growth factor receptor gene (EGFR) and rearrangements in the anaplastic lymphoma kinase gene (ALK) in patients with surgically resected primary LAC.

Patients and Methods: We retrospectively analyzed 675 consecutive patients who underwent radical resection at a single institution. We concurrently analyzed mutations in EGFR and the Kirsten rat sarcoma viral oncogene homolog gene (KRAS) by reverse transcription (RT)-PCR, and investigated ALK rearrangements by immunohistochemistry. LAC with or without various oncogenic mutations was studied for clinicopathological features and their association with disease-free survival (DFS) and overall survival (OS).

Result: ALK rearrangements and EGFR mutations were detected in 75 and 312 patients, respectively, with coexistence in 5 cases. ALK rearrangements and mutations in EGFR and KRAS were mutually exclusive. Compared with patients with EGFR mutations, ALK rearrangements were more common in younger patients, and those with advanced tumors, lymph node metastases, and higher rates of postoperative adjuvant therapy. Histologically, EGFR mutations were more common than ALK rearrangements in patients with the acinar predominant subtype and the lepidic predominant subtype of LAC, whereas ALK rearrangements were more frequent in the solid predominant subtype with mucin production and invasive mucinous adenocarcinomas. ALK-positive patients had a significantly worse DFS than those with EGFR mutations and wild-type (WT) patients. The mean OS after surgical procedures was significantly longer in EGFR-mutated versus WT patients. No significant differences were found in patients with ALK-positive tumors compared with EGFR-mutated and WT patients.

Conclusion: Clinicopathological features of LAC with ALK rearrangements differ from those of LAC with EGFR mutations. Patients with ALK rearrangements had a significantly worse DFS than those harboring EGFR mutations. Thus, ALK rearrangements are an adverse prognostic factor in surgically-resected LAC patients, while EGFR mutations are associated with a better prognosis.

CT Slice Thickness and Convolution Kernel Affect Performance of a Radiomic Model for Predicting EGFR Status in Non-Small Cell Lung Cancer: A Preliminary Study

We evaluated whether the optimal selection of CT reconstruction settings enables the construction of a radiomics model to predict epidermal growth factor receptor (EGFR) mutation status in primary lung adenocarcinoma (LAC) using standard of care CT images. Fifty-one patients (EGFR:wildtype = 23:28) with LACs of clinical stage I/II/IIIA were included in the analysis. The LACs were segmented in four conditions, two slice thicknesses (Thin: 1 mm; Thick: 5 mm) and two convolution kernels (Sharp: B70f/B70s; Smooth: B30f/B31f/B31s), which constituted four groups: (1) Thin-Sharp, (2) Thin-Smooth, (3) Thick-Sharp, and (4) Thick-Smooth. Machine learning algorithms selected and combined 1,695 quantitative image features to build prediction models. The performance of prediction models was assessed by calculating the area under the curve (AUC). The best prediction model yielded AUC (95%CI) = 0.83 (0.68, 0.92) using the Thin-Smooth reconstruction setting. The AUC of models using thick slices was significantly lower than that of thin slices (P < 10-3), whereas the impact of reconstruction kernel was not significant. Our study showed that the optimal prediction of EGFR mutational status in early stage LACs was achieved by using thin CT-scan slices, independently of convolution kernels. Results from the prediction model suggest that tumor heterogeneity is associated with EGFR mutation.

Protocol to Improve Genotyping of Non-Small-Cell Lung Cancer Diagnosed Using EBUS-TBNA

OBJECTIVES

Targeted therapies for non-small-cell lung cancers (NSCLCs) are based on the presence of driver mutations such as epidermal growth factor receptor (EGFR) and the echinoderm microtubule-associated protein-like 4-anaplastic lymphoma kinase (EML4-ALK) translocation. Endobronchial ultrasound-guided-transbronchial needle aspiration (EBUS-TBNA) is a first-line modality for diagnosing and staging NSCLC. A quality improvement protocol maximizing tissue acquisition for molecular analysis has not been previously described.

METHODS

We instituted a standardized protocol designed from a multidisciplinary meeting of the pulmonology, oncology, and pathology departments for the acquisition and on-site processing of samples obtained through EBUS-TBNA to improve the yield for genetic analysis of EGFR and ALK testing.

RESULTS

Preprotocol there were 50 NSCLCs (29 adenocarcinomas) and postprotocol there were 109 NSCLCs (52 adenocarcinomas). A statistically significant increase in yield for molecular analysis was seen in both EGFR (36% preprotocol and 80% postprotocol, P < 0.01) and ALK (41% preprotocol and 80% postprotocol, P < 0.01). There was no difference in complications preprotocol and postprotocol.

CONCLUSIONS

Implementation of a standardized protocol with EBUS-TBNA was associated with an increase in adequacy for molecular genetic analysis in NSCLC.

Personalized therapy for lung cancer: striking a moving target

Molecular targeted therapy heralded a new era for the treatment of patients with oncogene-driven advanced-stage non-small-cell lung cancer (NSCLC). Molecular testing at the time of diagnosis guides therapy selection, and targeted therapies in patients with activating mutations in EGFR, BRAF, and rearrangements in anaplastic lymphoma kinase (ALK) and ROS1 have become part of routine care. These therapies have extended the median survival from a mere few months to greater than 3 years for patients with stage 4 disease. However, despite the initial success, these treatments are eventually met with molecular resistance. Selective pressure leads to cellular adaption to maintain cancer growth, making resistance complex and the treatment challenging. This review focuses on recent advances in targeted therapy, mechanisms of resistance, and therapeutic strategies to overcome resistance in patients with lung cancer.

Drug Resistance in Non-Small Cell Lung Cancer: A Potential for NOTCH Targeting?

Drug resistance is a major cause for therapeutic failure in non-small cell lung cancer (NSCLC) leading to tumor recurrence and disease progression. Cell intrinsic mechanisms of resistance include changes in the expression of drug transporters, activation of pro-survival, and anti-apoptotic pathways, as well as non-intrinsic influences of the tumor microenvironment. It has become evident that tumors are composed of a heterogeneous population of cells with different genetic, epigenetic, and phenotypic characteristics that result in diverse responses to therapy, and underlies the emergence of resistant clones. This tumor heterogeneity is driven by subpopulations of tumor cells termed cancer stem cells (CSCs) that have tumor-initiating capabilities, are highly self-renewing, and retain the ability for multi-lineage differentiation. CSCs have been identified in NSCLC and have been associated with chemo- and radiotherapy resistance. Stem cell pathways are frequently deregulated in cancer and are implicated in recurrence after treatment. Here, we focus on the NOTCH signaling pathway, which has a role in stem cell maintenance in non-squamous non-small lung cancer, and we critically assess the potential for targeting the NOTCH pathway to overcome resistance to chemotherapeutic and targeted agents using both preclinical and clinical evidence.

Cigarette smoke enhances oncogene addiction to c-MET and desensitizes EGFR-expressing non-small cell lung cancer to EGFR TKIs

Cigarette smoking is one of the leading risks for lung cancer and is associated with the insensitivity of non‐small cell lung cancer (NSCLC) to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). However, it remains undetermined whether and how cigarette smoke affects the therapeutic efficacy of EGFR TKIs. In this study, our data showed that chronic exposure to cigarette smoke extract (CSE) or tobacco smoke‐derived carcinogen benzo[α]pyrene, B[α]P, but not nicotine‐derived nitrosamine ketone (NNK), reduced the sensitivity of wild‐type EGFR‐expressing NSCLC cells to EGFR TKIs. Treatment with TKIs almost abolished EGFR tyrosine kinase activity but did not show an inhibitory effect on downstream Akt and ERK pathways in B[α]P‐treated NSCLC cells. CSE and B[α]P transcriptionally upregulate c‐MET and activate its downstream Akt pathway, which is not inhibited by EGFR TKIs. Silencing of c‐MET reduces B[α]P‐induced Akt activation. The CSE‐treated NSCLC cells are sensitive to the c‐MET inhibitor crizotinib. These findings suggest that cigarette smoke augments oncogene addiction to c‐MET in NSCLC cells and that MET inhibitors may show clinical benefits for lung cancer patients with a smoking history.

Assessment of EGFR mutation status in Tunisian patients with pulmonary adenocarcinoma

BACKGROUND

Despite recent advances, non-small cell lung cancer carries a grim prognosis. For appropriate treatment selection, the updated guidelines recommend broad molecular profiling for all patients with pulmonary adenocarcinoma. Precise histological subtyping and targeted epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) testing are mandatory.

METHODS

Herein, we assessed the EGFR mutation status of 26 formalin fixed-paraffin embedded (FFPE) samples of lung adenocarcinoma. Mutational analysis concerned exons 18-21 of EGFR by real-time polymerase chain reaction (Real time-PCR) using the Therascreen EGFR RGQ PCR mutation kit. ALK status was established on 22 among 26 patients using D5F3 antibody with a fully automated Ventana CDx technique.

RESULTS

Activating EGFR mutations were found in 3 men among 26 patients (11.5%). Positive ALK expression was found in 2 cases among 22 patients (9.09%).

CONCLUSION

Frequency of EGFR mutations in pulmonary adenocarcinomas of our series is similar to that found in the European ones with some particularities. The mutations detected are uncommon. Whereas, we found a high frequency of positive ALK expression in our series compared to frequency reported in literature. Further studies with larger Tunisian series are required to obtain more conclusive results.

Surrogate Predictive Biomarkers for Response to Anti-EGFR Agents: State of the Art and Challenges

The epidermal growth factor receptor (EGFR) plays a key role in cancer development and progression in several human malignancies including non-small cell lung cancer (NSCLC). Several strategies aimed at inhibiting the EGFR have been investigated in the last years, including the use of small tyrosine kinase inhibitors (TKIs) directed against the intracellular domain of the receptor and monoclonal antibodies targeting its extracellular portion. Subgroups of patients who are more likely to respond to TKIs have been identified based on both clincal and biological features. Never-smoking history has emerged as the most relevant clinical characteristic predictive of response to TKIs in NSCLC, while presence of drug-sensitive EGFR mutations and EGFR gene gain represent critical biological variables associated with an improved outcome for patients exposed to these agents. Recent studies have highlighted the existence of biological factors involved in intrinsic and acquired resistance to TKIs, including k-ras, HER-2 and EGFR exon 20 mutations. Increasing knowledge of EGFR biology and drug-receptor interactions will allow to identify individuals who are likely to derive a clinical benefit from the proposed targeted therapy, sparing refractory patients expensive and potentially toxic treatment.

The accuracy of a non-invasive glucose monitoring device does not depend on clinical characteristics of people with type 2 diabetes mellitus

Objective: GlucoTrack is a non-invasive device that indirectly measures glucose fluctuation in the earlobe tissue. Thus, its accuracy may be subjected to a time lag between glucose concentration in blood and tissue. This time lag was shown to depend on individual characteristics related to microvascular complications, such as diabetes duration, HbA1c level, and smoking history. Therefore, the current study investigated the effects of these factors on GlucoTrack performance. Research design and methods: Clinical trials were conducted on 114 people with type 2 diabetes. Device performance was clinically evaluated using Clarke error grid (CEG) analysis and numerically evaluated using the distribution of absolute relative difference (ARD) values. Results: CEG analysis revealed that 98.0% of glucose readings were within the clinically acceptable CEG A + B zones. Total mean ARD was 22.7%. Clinical and numerical accuracies were comparable between never smokers and former/current smokers, but slightly reduced in the HbA1c ≥ 7.5% group and in the diabetes duration ≥15 years group. Yet, likelihood ratio and parametric bootstrap tests statistically demonstrated that ARD values did not depend on diabetes duration, HbA1c level, or smoking history. Conclusions: GlucoTrack performance does not depend on diabetes duration, HbA1c level, and smoking history, indicating the device is suitable for various people with type 2 diabetes.

Paired Phase II Studies of Erlotinib/Bevacizumab for Advanced Bronchioloalveolar Carcinoma or Never Smokers With Advanced Non-Small-cell Lung Cancer: SWOG S0635 and S0636 Trials

BACKGROUND

Before mutation testing of the epidermal growth factor receptor (EGFR) gene was recognized as highly associated with the activity of EGFR tyrosine kinase inhibitors (TKIs), clinically defined patient populations with bronchioloalveolar carcinoma (BAC) and never smokers were identified as likely to benefit from EGFR TKIs. From preclinical and clinical data suggesting potentially improved efficacy with a combination of an EGFR TKI and the antiangiogenic agent bevacizumab, the Southwestern Oncology Group (SWOG) initiated paired phase II trials to evaluate the combination of erlotinib/bevacizumab in patients with advanced BAC (SWOG S0635) or never smokers with advanced lung adenocarcinoma (SWOG S0636).

MATERIALS AND METHODS

Eligible patients with BAC or adenocarcinoma with BAC features (SWOG S0635) or never smokers with advanced lung adenocarcinoma (SWOG S0636) received erlotinib 150 mg/day with bevacizumab 15 mg/kg until progression or prohibitive toxicity. Never smokers with BAC were preferentially enrolled to SWOG S0636. The primary endpoint for both trials was overall survival.

RESULTS

A total of 84 patients were enrolled in the SWOG S0635 trial and 85 in the SWOG S0636 trial. The objective response rate was 22% (3% complete response) in the SWOG S0635 trial and 50% (38% confirmed; 3% complete response) in the SWOG S0636 trial. The median progression-free survival was 5 and 7.4 months in the S0635 and S0636 trials, respectively. The median overall survival was 21 and 29.8 months, respectively. Toxicity consisted mainly of rash and diarrhea in both trials.

CONCLUSION

Although the field has moved toward molecular, rather than clinical, selection of patients as optimal candidates for EGFR TKI therapy, these results support the hypothesis that a subset of patients in whom erlotinib is particularly active could receive an incremental benefit from the addition of bevacizumab.

Clinicopathological Profile of Anaplastic Lymphoma Kinase-positive Nonsmall Cell Lung Cancer: An Indian Perspective

Background: A novel fusion gene of echinoderm microtubule-associated protein-like 4 (EML4) and anaplastic lymphoma kinase (ALK) has been identified in a subset of non-small-cell lung cancers (NSCLCs). Patients with the ALK-EML4 fusion gene demonstrate unique clinicopathological and physiological characteristics. Here we present an analysis of clinicopathological profile of patients of metastatic adenocarcinoma harboring the ALK-EML4 fusion gene. Methods: A retrospective analysis of advanced ALK positive NSCLC, who presented at this tertiary care hospital of armed forces from September 2014 to December 2016 was conducted. The primary goal was to evaluate demographic and clinicopathological profile of ALK positive advanced NSCLC. Detection of ALK fusion was done by IHC on formalin fixed paraffin embedded cell blocks. Results: Out of 270 patients of NSCLC, 15 (7.4%) tested positive for ALK-EML4 fusion. Rate of positivity was higher in females (13.7%) than in males (5%). The correlation of the ALK-EML4 fusion gene and clinicopathological characteristics of NSCLC patients demonstrated a significant difference in smoking status, histological types, stage, and metastatic pattern. Conclusion: Our analysis indicated that ALK-EML4 positive NSCLC comprised a unique subgroup of adenocarcinomas with distinct clinicopathological and radiological characteristics. Incidence of ALK positivity was found to be higher in females and never smokers. These patients have distinct pathological and radiological characteristics.

Histologic Grade Is Predictive of Incidence of Epidermal Growth Factor Receptor Mutations in Metastatic Lung Adenocarcinoma

Activating epidermal growth factor receptor (EGFR) mutations in metastatic non-small cell lung cancer (NSCLC) are associated with a high response rate to EGFR tyrosine kinase inhibitor (TKI). The current guidelines recommend routine EGFR mutational analysis prior to initiating first line systemic therapy. The clinical characteristics including smoking status, histologic type, sex and ethnicity are known to be associated with the incidence of EGFR mutations. We retrospectively analyzed 277 patients with metastatic NSCLC within Kaiser Permanente Northern California (KPNC); among these patients, 83 were positive for EGFR mutations. We performed both univariate and multivariable logistic regressions to identify predictors of EGFR mutations. We found that histologic grade was significantly associated with the incidence of EGFR mutation, regardless of ethnicity, sex and smoking status. In grade I (well differentiated) and II (moderately differentiated), histology was associated with significantly higher incidence of EGFR mutations compared to grade II–III (moderate-to-poorly differentiated) and III (poorly differentiated). Ever-smokers with grade III lung adenocarcinoma had 1.8% incidence of EGFR mutations. This study indicates that histologic grade is a predictive factor for the incidence of EGFR mutations and suggests that for patients with grade II–III or III lung adenocarcinoma, prompt initiation of first-line chemotherapy or immunotherapy is appropriate while awaiting results of EGFR mutational analysis, particularly for patients with history of smoking.

New insights into anaplastic lymphoma kinase-positive nonsmall cell lung cancer

BACKGROUND

A novel fusion gene of echinoderm microtubule-associated protein-like 4 (EML4) and anaplastic lymphoma kinase (ALK) has been identified in a subset of non-small-cell lung cancers (NSCLCs). Patients with the ALK-EML4 fusion gene demonstrate unique clinicopathological and physiological characteristics. Here we present an analysis of clinicopathological profile of patients of metastatic adenocarcinoma harboring the ALK-EML4 fusion gene and their response to targeted therapy in the form of crizotinib.

METHODS

A retrospective analysis of advanced ALK positive NSCLC, who presented at this tertiary care hospital of armed forces from September 2014 to December 2016 was conducted. The primary goal was to evaluate demographic and clinicopathological profile of ALK positive advanced NSCLC. Detection of ALK fusion was done by IHC on formalin fixed paraffin embedded cell blocks. Out of 20 ALK positive patients, ten patients received upfront cytotoxic chemotherapy, and rest received crizotinib. Patients progressing on cytotoxic chemotherapy received crizotinib as subsequent therapy.

RESULTS

Out of 270 patients of NSCLC, fifteen(7.4%) tested positive for ALK-EML4 fusion. Rate of positivity was higher in females(13.7%) than in males (5%). The correlation of the ALK-EML4 fusion gene and clinicopathological characteristics of NSCLC patients demonstrated a significant difference in smoking status, histological types, stage, & metastatic pattern. Median PFS with first line cytotoxic chemotherapy was 5.9 months. Median PFS with upfront crizotinib was not reached, but was significantly superior than cytotoxic chemotherapy.

CONCLUSION

Our analysis indicated that ALK-EML4 positive NSCLC comprised a unique subgroup of adenocarcinomas with distinct clinicopathological characteristics. Incidence of ALK positivity was found to be higher in females and never smokers. These patients have distinct pathological and radiological characteristics. Crizotinib, whether used upfront or as subsequent therapy was found to be superior in PFS (not yet reached at the time of writing this article), and maintaining quality of life as compared to cytotoxic chemotherapy.

Interobserver variability in tumor contouring affects the use of radiomics to predict mutational status

Radiomic features characterize tumor imaging phenotype. Nonsmall cell lung cancer (NSCLC) tumors are known for their complexity in shape and wide range in density. We explored the effects of variable tumor contouring on the prediction of epidermal growth factor receptor (EGFR) mutation status by radiomics in NSCLC patients treated with a targeted therapy (Gefitinib). Forty-six early stage NSCLC patients (EGFR mutant:wildtype = 20:26) were included. Three experienced radiologists independently delineated the tumors using a semiautomated segmentation software on a noncontrast-enhanced baseline and three-week post-therapy CT scan images that were reconstructed using 1.25-mm slice thickness and lung kernel. Eighty-nine radiomic features were computed on both scans and their changes (radiomic delta-features) were calculated. The highest area under the curves (AUCs) were 0.87, 0.85, and 0.80 for the three radiologists and the number of significant features ([Formula: see text]) was 3, 5, and 0, respectively. The AUCs of a single feature significantly varied among radiologists (e.g., 0.88, 0.75, and 0.73 for run-length primitive length uniformity). We conclude that a three-week change in tumor imaging phenotype allows identifying the EGFR mutational status of NSCLC. However, interobserver variability in tumor contouring translates into a significant variability in radiomic metrics accuracy.

Identifying gene-environment interactions for prognosis using a robust approach

For many complex diseases, prognosis is of essential importance. It has been shown that, beyond the main effects of genetic (G) and environmental (E) risk factors, gene-environment (G × E) interactions also play a critical role. In practical data analysis, part of the prognosis outcome data can have a distribution different from that of the rest of the data because of contamination or a mixture of subtypes. Literature has shown that data contamination as well as a mixture of distributions, if not properly accounted for, can lead to severely biased model estimation. In this study, we describe prognosis using an accelerated failure time (AFT) model. An exponential squared loss is proposed to accommodate data contamination or a mixture of distributions. A penalization approach is adopted for regularized estimation and marker selection. The proposed method is realized using an effective coordinate descent (CD) and minorization maximization (MM) algorithm. The estimation and identification consistency properties are rigorously established. Simulation shows that without contamination or mixture, the proposed method has performance comparable to or better than the nonrobust alternative. However, with contamination or mixture, it outperforms the nonrobust alternative and, under certain scenarios, is superior to the robust method based on quantile regression. The proposed method is applied to the analysis of TCGA (The Cancer Genome Atlas) lung cancer data. It identifies interactions different from those using the alternatives. The identified markers have important implications and satisfactory stability.

System Biology Approach to Identify Potential Receptor for Targeting Cancer and Biomolecular Interaction Studies of Indole[2,1-a]Isoquinoline Derivative as Anticancerous Drug Candidate Against it

Cancer is a public health concern which is spreading throughout the world. Different approaches have been employed to combat this disease. System biology approach has been used to understand the molecular mechanisms of drugs targeting cancer cell's receptor which have opened-up a window to develop effective drugs for it. We have demonstrated biomolecular interaction studies using the rational drug design of indole[2,1-a]isoquinoline derivative as a potent inhibitor against identified cancerous protein PIK3CA -a catalytic sub-unit of PI3K family protein-and compared its affinity with FDA approved drugs for receptors such as dactolisib, idelalisib, and several others such afatinib, avastin, ceritinib and crizotinib, etc.; by docking against potential receptor to set a cutoff value for our screening. Isoquinolines are small alkaloids with a vast variety of substitution depending upon their biogenetic pattern. Isoquinoline derivatives have been reported for their antimalarial, antibacterial, antifungal and anticancerous activities. The results obtained from the present studies conclude that membrane protein is an efficient drug that can be used to target cancer. Moreover, comparative study with ADMET prediction concludes that isoquinoline can be a potent drug for cancer treatment.

Anaplastic lymphoma kinase (ALK) mutations in patients with adenocarcinoma of the lung

BACKGROUND

Non-small cell lung cancer (NSCLC) is a major cause of cancer-related death. Approximately 2-16% of NSCLC patients with wild-type epidermal growth factor receptor (EGFR) harbour anaplastic lymphoma kinase (ALK) mutations. Both EGFR and ALK mutations occur most commonly in Asian patients with NSCLC. As targeted therapy is available for NSCLC patients with these mutations, it is important to establish reliable assays and testing strategies to identify those most likely to benefit from this therapy.

MATERIALS AND METHODS

Patients diagnosed with adenocarcinoma of the lung between 2010 and 2014 were tested for EGFR mutations. Of these, 92 cases were identified as EGFR wild type and suitable candidates for ALK testing utilising immunohistochemistry and the rabbit monoclonal antibody D5F3. The reliability of the IHC was confirmed by validating the results against those achieved by fluorescence in situ hybridisation (FISH) to detect ALK gene rearrangements.

RESULTS

Twelve (13%) cases were positive for ALK expression using immunohistochemistry. Of the 18 evaluable cases tested by FISH, there was 100% agreement with respect to ALK rearrangement/ALK expression between the assays, with 11 cases ALK negative and 7 cases ALK positive by both assays. ALK tumour expression was significantly more common in female compared to male patients (29.6% vs. 6.2%, P < 0.001), detected exclusively in patients that had never smoked (P < 0.001) and more frequently in metastases (22.7%) than in primary tumours (10%) (P = 0.047).

CONCLUSIONS

Detection of ALK expression by IHC is reliable and the most practical way of identifying NSCLC patients likely to benefit from crizotinib treatment.

Clinical Significance and Next-Generation Sequencing of Chinese Pulmonary Sarcomatoid Carcinoma

Pulmonary Sarcomatoid Carcinoma (PSC) constitutes a heterogeneous group of non-small-cell lung carcinomas (NSCLCs) with a poor prognosis. In this study, a group of 7 patients with PSC was studied. Microscope analysis of all 7 cases revealed a pleomorphic carcinoma subtype. Moreover, 5 cases (71.4%) were composed entirely of malignant sarcomatoid-like elements, and 2 cases (28.6%) were composed of malignant sarcomatoid-like elements and at least 10% adenocarcinoma-like elements. Immunohistochemically, the PSC components of all 7 cases were positive for vimentin and cytokeratins, including cytokeratin (CK) and cytokeratin 7 (CK7). Next-Generation Sequencing (NGS) was performed, and a total of 136 putative somatic variants and one gene fusion were identified, of which 16 variants were considered hot spot mutations, including the genes EGFR, EML4-ALK, MET, BRAF, PIK3CA, and TP53. Of these hot spot mutations, one sample expressing an EML4-ALK fusion was further confirmed by Ventana IHC, and one sample containing an EGFR exon 19 deletion was also confirmed. The NGS results imply that TP53 mutations occur often in PSCs and that EML4-ALK fusion events and EGFR exon deletions also occur in these rare tumors. Molecular targeted therapy may be a useful treatment strategy for these rare lung tumors.

Advances in the Development of Molecularly Targeted Agents in Non-Small-Cell Lung Cancer

Non-small-cell lung cancer (NSCLC) remains a significant global health challenge and the leading cause of cancer-related mortality. The traditional 'one-size-fits-all' treatment approach has now evolved into one that involves personalized strategies based on histological and molecular subtypes. The molecular era has revolutionized the treatment of patients harboring epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK) and ROS1 gene aberrations. In the appropriately selected population, anti-tumor agents against these molecular targets can significantly improve progression-free survival. However, the emergence of acquired resistance is inevitable. Novel potent compounds with much improved and rational selectivity profiles, such as third-generation EGFR T790M resistance mutation-specific inhibitors, have been developed and added to the NSCLC armamentarium. To date, attempts to overcome resistance bypass pathways through downstream signaling blockade has had limited success. Furthermore, the majority of patients still do not harbor known driver genetic or epigenetic alterations and/or have no new available treatment options, with chemotherapy remaining their standard of care. Several potentially actionable driver aberrations have recently been identified, with the early clinical development of multiple inhibitors against these promising targets currently in progress. The advent of immune checkpoint inhibitors has led to significant benefit for advanced NSCLC patients with durable responses observed. Further interrogation of the underlying biology of NSCLC, coupled with modern clinical trial designs, is now required to develop novel targeted therapeutics rationally matched with predictive biomarkers of response, so as to further advance NSCLC therapeutics through the next decade.

Epidermal Growth Factor Receptor Mutated Advanced Non-Small Cell Lung Cancer: A Changing Treatment Paradigm

Activating mutations in the epidermal growth factor receptor (EGFR) are present in approximately 15% of US patients with lung adenocarcinoma. EGFR tyrosine kinase inhibitors are associated with high response rate and progression-free survival for patients with non-small cell lung cancer with this genotype. Gefitinib, erlotinib, and afatinib are the EGFR tyrosine kinase inhibitors that are presently in clinical use. Understanding resistance mechanisms has led to the identification of a secondary mutational target, T790M, in more than half of patients, for which osimertinib has been approved. This article reviews the current treatments, resistance mechanisms, and strategies to overcome resistance.

The enhanced tumor inhibitory effects of gefitinib and L-ascorbic acid combination therapy in non-small cell lung cancer cells

Despite documentation of successful therapy with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors in patients with lung cancer, the response rate of patients treated with this therapy remains low. The present study investigated whether L-ascorbic acid serves an adjuvant role in vitro when combined with the EGFR tyrosine kinase inhibitor gefitinib (Iressa^®) in lung cancer cell lines. A total of three human lung cancer cell lines were used. The antiproliferative effects and changes in the cell cycle and expression of intracellular signaling molecules, including extracellular signal-regulated kinases (Erk), signal transducer and activator of transcription 3 (Stat3) and protein kinase B (Akt), were measured in cells treated with gefitinib and/or L-ascorbic acid at various concentrations. When combined with gefitinib, L-ascorbic acid exhibited an additive effect on cell proliferation in all gefitinib-sensitive and gefitinib-resistant cell lines. A decrement of ~40% was observed with a low dose 0.5 mM L-ascorbic acid and gefitinib in the relatively gefitinib-resistant A549 cell line (85.6±5.4% with gefitinib alone vs. 52.7±7.3% with combination therapy; P=0.046). The downregulation of intracellular signaling cascades, including EGFR, Akt, Erk and Stat3, was also observed. L-Ascorbic acid serves an adjuvant role when administered in combination with gefitinib; however, the degree of inhibition of cell proliferation differs between lung cancer cell lines.

ALK rearrangement in specific subtypes of lung adenocarcinoma: immunophenotypic and morphological features

Lung adenocarcinomas are characterized by a variety of genetic and epigenetic changes that lead to activation of specific signaling pathways. This allowed the classification of lung adenocarcinomas according to genetic alterations and the clinical development of novel anticancer agents that affect the activity of specific oncoproteins. In such a context, chromosomal rearrangements that cause constitutive activation of ALK gene define a category of lung adenocarcinomas that is amenable to targeted therapy with ALK inhibitors. Thus, a major issue of current research is to define the morphological and immunophenotypic features of lung ALK-rearranged adenocarcinomas to improve the selection of tumors suitable for molecular genotyping. ALK status was determined, by immunohistochemistry and fluorescence in situ hybridization, in 94 surgically resected lung adenocarcinomas and correlated with histomorphological parameters. Indeed, ALK rearrangement was observed in 10/94 (11%) lung adenocarcinomas and enriched in tumors with a predominant mucinous (46%; p < 0.05) and solid (29%; p < 0.05) pattern. By contrast, it was lacking or sporadically observed in lung adenocarcinomas with predominant acinar, papillary or lepidic pattern. Moreover, the presence of signet-ring cells was predominantly observed in ALK-rearranged tumors (47%; p < 0.05). These data suggest that ALK rearrangement is associated with specific and distinct clinical-pathological characters compared to other genotypes. Thus, the knowledge of these characteristics can improve the diagnostic accuracy and lead to a better understanding of the behavior of ALK-rearranged NSCLC.

[Clinical Analysis of Icotinib on Beneficiary of Advanced Non-small Cell Lung Cancer with EGFR Common Mutation]

背景与目的

靶向治疗已经成为晚期非小细胞肺癌（non-small cell lung cancer, NSCLC）治疗中不可或缺的重要手段，表皮生长因子受体（epithelial growth factor receptor, EGFR）的酪氨酸激酶抑制剂（tyrosine kinase inhibitor, TKI）可显著延长晚期携带EGFR基因突变肺癌患者生存期。埃克替尼是我国第一个拥有自主知识产权的EGFR-TKI。本研究旨在探讨埃克替尼治疗EGFR敏感突变的晚期NSCLC获益患者的临床特点，对获益患者[无进展生存时间（progression-free survival, PFS）≥6个月]进行回顾性资料收集并分析相关影响因素。

方法

收集2011年9月1日-2015年9月30日浙江省肿瘤医院经埃克替尼片治疗的231例EGFR敏感突变的晚期NSCLC获益患者的生存情况。

结果

经埃克替尼治疗后，一线治疗组1年获益率达67.9%，二线及以上组为53.6%，具有统计学意义（P=0.027）；一线治疗组2年获益率对比二线及以上组亦有统计学差异（18.7%和9.3%，P=0.047）。一线患者和二线及以上患者的中位PFS分别为16.7个月和12.4个月，且差异具有统计学意义（P=0.006）。其中有无脑转移（P=0.010）、埃克替尼治疗时机（P=0.001）、美国东部肿瘤协作组（Eastern Cooperative Oncology Group, ECOG）评分（P=0.001）为影响预后的主要因素。主要不良反应为皮疹51例（22.1%），腹泻27例（11.7%）。

结论

埃克替尼是EGFR基因敏感突变的晚期NSCLC患者有效的治疗方案，其优势人群除无脑转移者及ECOG评分好的患者外，一线治疗患者疗效明显优于二线及以上者。敏感突变患者采用埃克替尼可得到较好的临床获益，并具有较好的耐受性。

Performance Assessment of Epidermal Growth Factor Receptor Gene Sequencing According to Sample Size in Daily Practice Conditions

Lung carcinoma is the main cause of cancer death worldwide. Adenocarcinoma molecular biomarkers have been discovered, and targeted therapies have been developed with encouraging results. The epidermal growth factor receptor gene is one of these biomarkers. Exons 18 to 21 should be studied in patients with advanced adenocarcinoma, who are candidates for treatment with tyrosine kinase inhibitors. The objective was to compare the performance of the determination in large and small samples in daily practice conditions, trying to adjust to published consensus guidelines. A retrospective observational study of 141 cases was carried out, with exons 19 and 21 sequencing. Sample size (small vs. large), including number of satisfactory polymerase chain reaction (PCR), sequencing, deletions, and mutations, were evaluated. In small biopsies, sample type, fragment number, and percentage of tumor per sample were analyzed. The results shown 114/141 (80.8) cases that met selection criteria; 60/114 (53%) were large (surgical) and 54/114 (47%) were small samples (19/54 endoscopic, 17/54 fine needle aspiration clots, 4/54 lymph nodes, 14/54 core and other). All large samples were satisfactory PCR, 56/60 (93%) satisfactory sequencing, and 12/56 (21%) had deletions in exon 19. Small samples were satisfactory PCRs in 50/54 (93%) cases, and satisfactory sequencing in 35/50 (65%), 8/35 (23%) showed alterations in exon 19, and 1/35 (3%) in exon 21. In conclusion, the proportion of samples unfit for the study of the epidermal growth factor receptor gene mutational status increased from 7% in large samples to 35% in small ones. Nineteen small samples were inconclusive, with cell blocks predominating, 10/19 (53%).

In silico insight into EGFR treatment in patients with lung carcinoma and T790M mutations

The T790M mutational basis of treatment failure, following treatment via alteration of the epidermal growth factor receptor (EGFR) pathway, is a well-known anomaly in patients with non-small cell lung cancer (NSCLC). The T790M mutation activates the kinase domain, causing tyrosine kinase inhibitors, such as gefitinib, to elicit little or no response. To overcome this acquired resistance in NSCLC cells, the present study utilized a structure-based drug designing method to identify a novel lead compound. An in-house traditional Chinese medicinal compound database was used and following initial virtual screening, pre-absorption, distribution, metabolism and excretion/Tox and automated docking analyses, nardosinon was selected as the most appropriate candidate for further analysis. Two NSCLC cell lines, PC9GR4 and H2347, were used to test nardosinon and the results were compared with gefitinib. Results from an initial cell death assay revealed that nardosinon was able to induce cell death in NSCLC cells with and without the T790M mutation. These findings suggest that nardosinon may be an effective pharmacological compound for NSCLC treatment, including T790M EGFR mutant NSCLC cells.

Determining EGFR-TKI sensitivity of G719X and other uncommon EGFR mutations in non-small cell lung cancer: Perplexity and solution (Review)

Mutations in epidermal growth factor receptor (EGFR) play critical roles in the pathogenesis of non-small cell lung cancer (NSCLC), and they are highly associated with sensitivity to tyrosine kinase inhibitors (TKIs). While the pathogenic and pharmacological characteristics of common mutations in EGFR have been thoroughly investigated, those of uncommon mutations remain to be elucidated. Traditional approaches to study common mutations by randomized controlled trials are not feasible for uncommon mutations owing to their rarity. Therefore, by systematically reviewing laboratory and clinical studies of the G719X mutation, one of the uncommon mutations, we concluded that the G719X mutation was intermediately sensitive to TKIs, with an average response rate of 35.1% (47/134). Moreover, accordingly, we proposed a comprehensive model to investigate uncommon mutations in EGFR. The model involves both basic and clinical components, composed of structural analyses, functional alterations, cell viabilities and animal models with various types of clinical studies. In this review, we systematically reviewed studies of the G719X mutation and put forward a research model that could be generalized to explore uncommon mutations in diseases associated with gene mutations.

Increased EGFR mRNA Expression Levels in Non-Small Cell Lung Cancer

Objective

In this study, we investigated the frequency of Epidermal growth factor receptor (EGFR) gene mutations, the level of EGFR mRNA and protein expressions in Turkish population for indicating substantial differences in the frequency of EGFR mutations, EGFR amplification and EGFR protein expression between populations and the effect of these parameters in response to EGFR tyrosine kinase inhibitors.

Materials and Methods

The study included 34 patients with non-small cell lung cancers. The RNA and DNA were extracted from the normal and tumor side of the lung tissue removed by surgery. To investigate the most common mutations in the EGFR gene, exon 19 was sequenced and mutation specific PCR was performed for detecting the L858R mutation in exon 21. EGFR mRNA expression was measured by relative quantitative reverse transcription PCR. The EGFR protein levels were detected with immunohistochemistry methods from the sections of the patients' paraffin blocks.

Results

No EGFR mutation in exon 19 or L858R mutation in exon 21 were detected in the patients. Overexpression of EGFR gene mRNA was identified in 16 of 34 (%47) patients and overexpression of EGFR protein was detected in 15 of 34 (%44) patients. Statistical analysis was not significant for the correlation between sex, age, smoking, histopathology, pathological stage and overexpression of EGFR mRNA and protein.

Conclusion

It was found that in Turkish population, EGFR mutation in exon 19 and L858R mutation were very rare, EGFR protein expression was similar and EGFR mRNA expression significantly increased compared to the literature. Markedly increased EGFR mRNA expression ratios in the absence of activating mutations showed that identifying the EGFR mRNA expression level for prediction of response to EGFR tyrosine kinase inhibitors might be significant in the Turkish population.

Different EGFR Gene Mutations in Exon 18, 19 and 21 as Prognostic and Predictive Markers in NSCLC: A Single Institution Analysis

BACKGROUND

Mutations of epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) predict longer overall survival (OS) and response to EGFR tyrosine kinase inhibitors (TKIs). The clinical relevance of different mutations in terms of response to TKIs and prognosis is still unclear.

OBJECTIVES

The aims of the present study were to assess the relationship between mutations in exon 18, 19 and 21 in patients treated with TKIs and their clinical outcomes, and evaluate the role of specific point mutations.

METHODS

We included in this analysis 55 patients with metastatic NSCLC and mutations in exon 18, 19 and 21, treated in our center between 2004 and 2014. All patients received treatment with TKIs in first and/or subsequent lines. Endpoints analyzed were OS (primary) and time to progression (TTP) (secondary), according to exon mutations and specific point mutations.

RESULTS

A strong negative prognostic association for OS (p = 0.02) and TTP (p = 0.03) was found for exon 18 mutations compared with exon 19 deletions . A trend toward a longer median OS was observed in exon 19 deletions versus exon 21 point mutations (+6.6 months), although more exon 19-mutated patients had brain metastases at diagnosis. Comparing each mutation, p.E746_A750del and p.E746_T751del of exon 19 and p.L858R mutation of exon 21, a trend toward improved OS in p.E746_A750del was found.

CONCLUSION

In this analysis, exon 19 deletions were associated with better outcomes, despite a higher percentage of brain metastases in this group. The prognostic relevance of p.E746_A750del requires further studies.

Evolution from genetics to phenotype: reinterpretation of NSCLC plasticity, heterogeneity, and drug resistance

Lung cancer is the leading cause of cancer-related deaths worldwide. Targeted therapy is beneficial in most cases, but the development of drug resistance stands as an obstacle to good prognosis. Multiple mechanisms were explored such as genetic alterations, activation of bypass signaling, and phenotypic transition. These intrinsic and/or extrinsic dynamic regulations facilitate tumor cell survival in meeting the demands of signaling under different stimulus. This review introduces lung cancer plasticity and heterogeneity and their correlation with drug resistance. While cancer plasticity and heterogeneity play an essential role in the development of drug resistance, the manipulation of them may bring some inspirations to cancer prognosis and treatment. That is to say, lung cancer plasticity and heterogeneity present us with not only challenges but also opportunities.