First-line erlotinib versus gemcitabine/cisplatin in patients with advanced EGFR mutation-positive non-small-cell lung cancer: analyses from the phase III, randomized, open-label, ENSURE study

Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for lung cancer

BACKGROUND

Drug repurposing provides a cost-effective approach to address the need for lung cancer prevention and therapeutics. We aimed to identify actionable druggable targets using Mendelian randomization (MR).

METHODS

Summary-level data of gene expression quantitative trait loci (eQTLs) were sourced from the eQTLGen resource. We procured genetic associations with lung cancer and its subtypes from the TRICL, ILCCO studies (discovery) and the FinnGen study (replication). We implemented Summary-data-based Mendelian Randomization analysis to identify potential therapeutic targets for lung cancer. Colocalization analysis was further conducted to assess whether the identified signal pairs shared a causal genetic variant.

FINDINGS

In the main analysis dataset, we identified 55 genes that demonstrate a causal relationship with lung cancer and its subtypes. However, in the replication cohort, only three genes were found to have such a causal association with lung cancer and its subtypes, and of these, HYKK (also known as AGPHD1) was consistently present in both the primary analysis dataset and the replication cohort. Following HEIDI tests and colocalization analyses, it was revealed that HYKK (AGPHD1) is associated with an increased risk of squamous cell carcinoma of the lung, with an odds ratio and confidence interval of OR = 1.28,95%CI = 1.24 to 1.33.

INTERPRETATION

We have found that the HYKK (AGPHD1) gene is associated with an increased risk of squamous cell carcinoma of the lung, suggesting that this gene may represent a potential therapeutic target for both the prevention and treatment of lung squamous cell carcinoma.

QT-Interval Prolongation, Torsades de Pointes, and Heart Failure With EGFR Tyrosine Kinase Inhibitors in Non-Small Cell Lung Cancer: Systematic Review

A systematic literature review was conducted to determine the incidence and mortality of QT-interval prolongation (QTp), torsades de pointes (TdP), and heart failure (HF) in patients with non-small cell lung cancer (NSCLC) who received epidermal growth factor receptor (EGFR) TKIs. Of 296 identified publications, 95 met eligibility criteria and were abstracted for QTp/TdP and HF outcomes (QTp/TdP: 83 publications, including 5 case study publications; HF: 79 publications, including 6 case study publications [involving 8 patients]). QTp incidence ranged from 0% to 27.8% in observational studies and from 0% to 11% in clinical trials, with no deaths due to QTp. There were no TdP events or deaths due to TdP. The incidence of HF ranged from 0% to 8%, and HF mortality rates ranged from 0% to 4%. Patients receiving treatment with EGFR TKIs should be monitored for signs of QTp, TdP, and HF per prescribing information. Standardized definitions and methods to improve monitoring of QTp, TdP, and HF-related events are needed in patients with NSCLC.

Advancements in NSCLC: From Pathophysiological Insights to Targeted Treatments

With the global incidence of non-small cell lung cancer (NSCLC) on the rise, the development of innovative treatment strategies is increasingly vital. This review underscores the pivotal role of precision medicine in transforming NSCLC management, particularly through the integration of genomic and epigenomic insights to enhance treatment outcomes for patients. We focus on the identification of key gene mutations and examine the evolution and impact of targeted therapies. These therapies have shown encouraging results in improving survival rates and quality of life. Despite numerous gene mutations being identified in association with NSCLC, targeted treatments are available for only a select few. This paper offers an exhaustive analysis of the pathogenesis of NSCLC and reviews the latest advancements in targeted therapeutic approaches. It emphasizes the ongoing necessity for research and development in this domain. In addition, we discuss the current challenges faced in the clinical application of these therapies and the potential directions for future research, including the identification of novel targets and the development of new treatment modalities.

Adverse Event Profile of Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors for Non-small Cell Lung Cancer: An Updated Meta-analysis

BACKGROUND

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) remain the frontline standard of care for patients with EGFR-mutant non-small cell lung cancer. An updated toxicity profile of EGFR-TKIs proves valuable in guiding clinical decision making.

OBJECTIVE

This study comprehensively assessed the risk of EGFR-TKI-related adverse events (AEs) involving different systems/organs.

METHODS

We systematically searched PubMed, Embase, Web of Science, and Cochrane library for phase III randomized controlled trials comparing EGFR-TKI monotherapy with placebo or chemotherapy in patients with non-small cell lung cancer. The odds ratio (OR) of all-grade and high-grade adverse events (AEs) including dermatologic, gastrointestinal, hematologic, hepatic, and respiratory events was pooled for a meta-analysis. Subgroup analyses based on the control arm (placebo or chemotherapy) and individual EGFR-TKIs (erlotinib, gefitinib, afatinib, dacomitinib, and osimertinib) were conducted.

RESULTS

Thirty-four randomized controlled trials comprising 15,887 patients were included. The pooled OR showed EGFR-TKIs were associated with a significantly increased risk of all-grade dermatologic AEs including paronychia, pruritus, rash, skin exfoliation, and skin fissures, gastrointestinal AEs including abdominal pain, diarrhea, dyspepsia, mouth ulceration, and stomatitis, hepatic AEs including elevated alanine aminotransferase and aspartate aminotransferase, and respiratory AEs including epistaxis, interstitial lung disease and rhinorrhea. Furthermore, a significantly increased risk of high-grade rash (OR 7.83, 95% confidence interval [CI] 5.11, 12.00), diarrhea (OR 2.10, 95% CI 1.44, 3.05), elevated alanine aminotransferase (OR 3.93, 95% CI 1.71, 9.03), elevated aspartate aminotransferase (OR 3.22, 95% CI 1.05, 9.92) and interstitial lung disease (OR 2.35, 95% CI 1.38, 4.01) was observed in patients receiving EGFR-TKIs. When stratified by individual EGFR-TKIs, gefitinib showed a significant association with all-grade and high-grade hepatotoxicity and interstitial lung disease.

CONCLUSIONS

Epidermal growth factor receptor tyrosine kinase inhibitors were associated with a significantly increased risk of various types of AEs. Clinicians should be vigilant about the risks of these EGFR-TKI-related AEs, particularly for severe hepatotoxicity and interstitial lung disease, to facilitate early detection and proper management.

Circulating biomarkers as predictors of response to immune checkpoint inhibitors in NSCLC: Are we on the right path?

Immune checkpoints inhibitors (ICIs) have markedly improved the therapeutic management of advanced NSCLC and, more recently, they have demonstrated efficacy also in the early-stage disease. Despite better survival outcomes with ICIs compared to standard chemotherapy, a large proportion of patients can derive limited clinical benefit from these agents. So far, few predictive biomarkers, including the programmed death-ligand 1 (PD-L1), have been introduced in clinical practice. Therefore, there is an urgent need to identify novel biomarkers to select patients for immunotherapy, to improve efficacy and avoid unnecessary toxicity. A deeper understanding of the mechanisms involved in antitumor immunity and advances in the field of liquid biopsy have led to the identification of a wide range of circulating biomarkers that could potentially predict response to immunotherapy. Herein, we provide an updated overview of these circulating biomarkers, focusing on emerging data from clinical studies and describing modern technologies used for their detection.

TIMM17A overexpression in lung adenocarcinoma and its association with prognosis

Lung adenocarcinoma (LUAD), a leading cause of cancer-related mortality worldwide, demands a deeper understanding of its molecular mechanisms and the identification of reliable biomarkers for better diagnosis and targeted therapy. Leveraging data from the Cancer Genome Atlas (TCGA), the Clinical Proteomic Tumor Analysis Consortium (CPTAC), and the Human Protein Atlas (HPA), we investigated the mRNA and protein expression profiles of TIMM17A and assessed its prognostic significance through Kaplan-Meier survival curves and Cox regression analysis. Through Gene Set Enrichment Analysis, we explored the regulatory mechanisms of TIMM17A in LUAD progression and demonstrated its role in modulating the proliferative capacity of A549 cells, a type of LUAD cell, via in vitro experiments. Our results indicate that TIMM17A is significantly upregulated in LUAD tissues, correlating with clinical staging, lymph node metastasis, overall survival, and progression-free survival, thereby establishing it as a critical independent prognostic factor. The construction of a nomogram model further enhances our ability to predict patient outcomes. Knockdown of TIMM17A inhibited the growth of LUAD cells. The potential of TIMM17A as a biomarker and therapeutic target for LUAD presents a promising pathway for improving patient diagnosis and treatment strategies.

Discovery of a Novel Potent EGFR Inhibitor Against EGFR Activating Mutations and On-Target Resistance in NSCLC

PURPOSE

Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI) serve as the standard first-line therapy for EGFR-mutated non-small cell lung cancer (NSCLC). Despite the sustained clinical benefits achieved through optimal EGFR-TKI treatments, including the third-generation EGFR-TKI osimertinib, resistance inevitably develops. Currently, there are no targeted therapeutic options available postprogression on osimertinib. Here, we assessed the preclinical efficacy of BI-4732, a novel fourth-generation EGFR-TKI, using patient-derived preclinical models reflecting various clinical scenarios.

EXPERIMENTAL DESIGN

The antitumor activity of BI-4732 was evaluated using Ba/F3 cells and patient-derived cell/organoid/xenograft models with diverse EGFR mutations. Intracranial antitumor activity of BI-4732 was evaluated in a brain-metastasis mouse model.

RESULTS

We demonstrated the remarkable antitumor efficacy of BI-4732 as a single agent in various patient-derived models with EGFR_C797S-mediated osimertinib resistance. Moreover, BI-4732 exhibited activity comparable to osimertinib in inhibiting EGFR-activating (E19del and L858R) and T790M mutations. In a combination treatment strategy with osimertinib, BI-4732 exhibited a synergistic effect at significantly lower concentrations than those used in monotherapy. Importantly, BI-4732 displayed potent antitumor activity in an intracranial model, with low efflux at the blood-brain barrier.

CONCLUSIONS

Our findings highlight the potential of BI-4732, a selective EGFR-TKI with high blood-brain barrier penetration, targeting a broad range of EGFR mutations, including C797S, warranting clinical development.

New Treatment Options for Patients With Oncogene-Addicted Non-Small Cell Lung Cancer Focusing on EGFR-Mutant Tumors

Druggable oncogene-driven non-small cell lung cancer has led to innovative systemic treatment options, improving patients' outcome. This benefit is not only achieved in the metastatic setting but also in the postsurgical setting, such as in lung cancers harboring a common sensitizing EGFR mutation or ALK-rearrangement. To enhance the outcome of these patients, we need to understand the mechanisms of acquired resistance and evaluate the role of new drugs with novel mechanisms of action in the treatment landscape. In this chapter, we review treatment strategies of EGFR-mutant tumors in all stages, the mechanisms of acquired strategies, and novel therapies in this subset.

Pharmacokinetics of Afatinib after Intravenous and Oral Administrations in Rats Using Validated UPLC MS/MS Assay

Afatinib is designated as the first-line management therapy for patients with advanced non-small cell lung cancer, and metastatic head and neck cancer. LC coupled to MS/MS can be utilised in therapeutic drug monitoring to ensure optimal use of Afatinib with the reduction of its possible adverse reactions. The aim of this investigation was to determine the pharmacokinetics of Afatinib in rats after single IV (2 mg/kg) and oral (8 mg/kg) doses. Therefore, a selective, sensitive and precise UPLC MS/MS assay thru electrospray ionisation basis with positive ionisation approach was established to measure Afatinib concentrations in the rat. The precision and accuracy of the developed assay method in the concentration range of 10-1000 ng/ml show no significant difference among inter- and-intra-day analysis (P > 0.05). Linearity was detected over the studied range with correlation coefficient, r > 0.995 (n = 6/day). The pharmacokinetics of Afatinib in the rat after a single IV dose showed a mean terminal half-life of 4.6 ± 0.97 h, and a mean clearance 480 ± 80 ml/h/kg. After PO administration, a short absorption phase with a mean Tmax of 1.3 ± 0.6 h with the highest concentration of 513.9 ± 281.1 ng/ml, and the lowest concentration detected after 24 h was 18.8 ± 10.7 ng/ml.

Liquid biopsy for breast cancer and other solid tumors: a review of recent advances

Liquid biopsy using circulating tumor DNA (ctDNA) has been reported to be less invasive and effective for comprehensive genetic analysis of heterogeneous solid tumors, including decision-making for therapeutic strategies, predicting recurrence, and detecting genetic factors related to treatment resistance in various types of cancers. Breast cancer, colorectal cancer, and lung cancer are among the most prevalent malignancies worldwide, and clinical studies of liquid biopsy for these cancers are ongoing. Liquid biopsy has been used as a companion diagnostic tool in clinical settings, and research findings have accumulated, especially in cases of colorectal cancer after curative resection and non-small cell lung cancer (NSCLC) after curative chemoradiotherapy, in which ctDNA detection helps predict eligibility for adjuvant chemotherapy. Liquid biopsy using ctDNA shows promise across a wide range of cancer types, including breast cancer, and its clinical applications are expected to expand further through ongoing research. In this article, studies on liquid biopsy in breast cancer, colorectal cancer, and NSCLC are compared focusing on ctDNA.

Stepwise prolongation of overall survival from first to third generation EGFR-TKIs for EGFR mutation-positive non-small-cell lung cancer: the Tokushukai REAl-world Data project (TREAD 01)

OBJECTIVE

The introduction of new-generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has afforded promising overall survival outcomes in clinical trials for non-small-cell lung cancer. We aim to investigate the current adoption rate of these agents and the real-world impact on overall survival among institutions.

METHODS

In a nationwide retrospective cohort study of 46 Tokushukai Medical Group hospitals in Japan, we analyzed clinical data of consecutive patients with non-small-cell lung cancer receiving EGFR-TKIs between April 2010 and March 2020. Univariate and multivariate Cox regression analyses examined the associations between overall survival and patient/tumor-related factors and first-line EGFR-TKIs.

RESULTS

A total of 758 patients (58.5% females; median age, 73 years) were included. Of 40 patients diagnosed in 2010, 72.5% received gefitinib, whereas 81.3% of 107 patients diagnosed in 2019 received osimertinib as the first-line EGFR-TKI. With a median follow-up of 15.8 months, the median overall survival was 28.4 months (95% confidence interval, 15.3-31.0). In a multivariate Cox regression analysis, age, body mass index, disease status, EGFR mutational status and first-line epidermal growth factor receptor tyrosine kinase inhibitor were identified as significant prognostic factors after adjusting for background factors including study period, hospital volume and hospital type. The estimated 2-year overall survival rates for gefitinib, erlotinib, afatinib and osimertinib were 70.1% (95% confidence interval 59.7-82.4), 67.8% (95% confidence interval 55.3-83.2), 75.5% (95% confidence interval 64.7-88.0) and 90.8% (95% confidence interval 84.8-97.3), respectively. The median time to treatment failure of gefitinib, erlotinib, afatinib and osimertinib were 12.8, 8.8, 12.0 and 16.9 months or more, respectively.

CONCLUSIONS

Our real-world data revealed that the swift and widespread utilization of newer-generation EGFR-TKIs in patients with EGFR mutation-positive non-small-cell lung cancer, and that these newer-generation EGFR-TKIs can prolong overall survival regardless of hospital volume or type. Therefore, osimertinib could be a reasonable first choice treatment for these patients across various clinical practice settings.

Trial Design and Optimal Determination of CNS Activity of Small Molecule Targeted Therapy in NSCLC

Central nervous system (CNS) metastases are frequently diagnosed in patients with non-small cell lung cancer (NSCLC). Only recently, clinical trials are broadening eligibility to include patients with brain metastases, offering the potential for some assessment of CNS efficacy to be made. In this work we aim to review the available information on the activity of small molecule targeted drugs for advanced NSCLC with respect to CNS metastases. We analyze a framework for evaluation assessment regarding trials of systemic agents being conducted in patients with, or at risk from, CNS metastases, and provide examples of NSCLC targeted therapies evaluated in the CNS.

Detection of EGFR T790M mutation using liquid biopsy for non-small cell lung cancer: Utility of droplet digital polymerase chain reaction vs. cobas real-time polymerase chain reaction

BACKGROUND

Digital platforms for mutation detection yield higher sensitivity than non-digital platforms but lack universal positive cut-off values that correlate with the outcome of osimertinib treatment. This study determined compared droplet digital polymerase chain reaction (ddPCR) to the standard cobas assay for epithelial growth factor receptor (EGFR) T790M mutation detection in patients with non-small cell lung cancer.

METHODS

Study patients had EGFR-mutant tumours with disease progression on first/second generation EGFR tyrosine kinase inhibitors, and osimertinib treatment after T790M mutation detection. T790M status was tested by cobas assay using liquid biopsy, and only by ddPCR if an EGFR mutation was identified but T790M was negative. Clinical efficacy of osimertinib was compared between patients with T790M detected by cobas vs. only by ddPCR. A positive cut-off value for ddPCR was determined by assessing efficacy with osimertinib.

RESULTS

61 patients had tumors with an acquired T790M mutation, 38 detected by cobas and an additional 23 only by ddPCR. The median progression-free survival (PFS) for the cobas- and ddPCR-positive groups was 9.5 and 7.8 months, respectively (p=0.43). For ddPCR, a fractional abundance (FA) of 0.1% was used as a cut-off value. The median PFS of patients with FA ≥0.1% and <0.1% was 8.3 and 4.6 months, respectively (p=0.08). FA ≥0.1% was independently associated with a longer PFS.

CONCLUSION

Using ddPCR to follow up the cobas assay yielded more cases (38% of total) with a T790M mutation. A cut-off value of FA ≥0.1% identified patients who responded as well to osimertinib as those identified by cobas assay. This sequential approach should detect additional patients who might benefit from osimertinib treatment.

ASPiRATION: Australian observational cohort study of comprehensive genomic profiling in metastatic lung cancer tissue

ASPiRATION is a national prospective observational cohort study assessing the feasibility, clinical and economic value of up-front tissue-based comprehensive genomic profiling (CGP) to identify actionable genomic alterations in participants with newly diagnosed metastatic non-squamous non-small-cell lung cancer in Australia. This study will enrol 1000 participants with tumor available for CGP and standard of care molecular testing (EGFR/ALK/ROS1). Participants with actionable variants may receive novel targeted treatments through ASPiRATION-specific substudies, other trials/programs. Clinical outcome data will be collected for a minimum of 2 years. Study outcomes are descriptive, including the ability of CGP to identify additional actionable variants, leading to personalized treatment recommendations, and will describe the feasibility, efficiency, cost and utility of implementation of CGP nationally.

Efficient 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based machine learning model for predicting epidermal growth factor receptor mutations in non-small cell lung cancer

BACKGROUND

Beyond the human eye's limitations, radiomics provides more information that can be used for diagnosis. We develop a personalized and efficient model based on 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) to predict epidermal growth factor receptor (EGFR) mutations to help identify which non-small cell cancer (NSCLC) patients are candidates for EGFR-tyrosine kinase inhibitors (TKIs) therapy.

METHODS

We retrospectively included 100 patients with NSCLC and randomized them according to 70 patients in the training group and 30 patients in the validation group. The least absolute shrinkage and selection operator logistic regression (LLR) algorithm and support vector machine (SVM) classifier were used to build the models and predict whether EGFR is mutated or not. The predictive efficacy of the LLR algorithm-based model and the SVM classifier-based model was evaluated by plotting the receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC).

RESULTS

The AUC, sensitivity and specificity of our radiomics model by LLR algorithm were 0.792, 0.967, and 0.600 for the training group and 0.643, 1.00, and 0.378 for the validation group, respectively, in predicting EGFR mutations. The AUC was 0.838 for the training group and 0.696 for the validation group after combining radiomics features with clinical features. The prediction results based on the SVM classifier showed that the validation group had the best performance when based on radial kernel function with AUC, sensitivity, and specificity of 0.741, 0.667, and 0.825, respectively.

CONCLUSIONS

Radiomics models based on 18F-FDG PET/CT modeled with different machine learning algorithms can improve the predictive efficacy of the models. Models that combine clinical features are more clinically valuable.

STAT3 and STAT6 polymorphisms predict the severity of adverse reactions in Chinese NSCLC patients receiving EGFR-TKIs therapy

A total of 162 non-small cell lung cancer (NSCLC) patients were divided into discovery (N = 68) and validation (N = 94) groups. Nine Janus kinase/Signal transducer and activator of transcription (JAK/STAT) pathway-related single nucleotide polymorphisms were selected to explore the potential associations between genetic polymorphisms and adverse drug reactions (ADRs). The TT genotype of STAT6 rs324011 was significantly associated with severe ADRs in the recessive genetic model (TT vs. CC + CT, OR = 13.5, 95% CI = 2.12-86.09, p = 0.006 in the discovery group; OR = 8.41, 95% CI = 1.95-36.19, p = 0.004 in the validation group). The T allele was associated with a higher incidence of severe ADRs than was the C allele of rs324011 (OR = 3.67, 95% CI = 1.46-9.19, p = 0.006 in the discovery group; OR = 3.17, 95% CI = 1.44-6.99, p = 0.004 in the validation group). Patients with the CC genotype in STAT3 rs1053023 (and rs1053005) or the TT genotype of STAT6 rs324011 were likely to experience severe epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) related ADRs.

Radiotherapy in the management of lung oligometastases

In recent years, the development of both medical imaging and new systemic agents (targeted therapy and immunotherapy) have revolutionized the field of oncology, leading to a new entity: oligometastatic disease. Adding local treatment of oligometastases to systemic treatment could lead to prolonged survival with no significant impact on quality of life. Given the high prevalence of lung oligometastases and the new systemic agents coming with increased pulmonary toxicity, this article provides a comprehensive review of the current state-of-art for radiotherapy of lung oligometastases. After reviewing pretreatment workup, the authors define several radiotherapy regimen based on the localization and size of the oligometastases. A comment on the synergistic combination of medical treatment and radiotherapy is also made, projecting on future steps in this specific clinical setting.

Prognostic and predictive role of liquid biopsy in lung cancer patients

Introduction

Lung cancer (LC) is a leading cause of cancer-related mortality worldwide. Approximately 80% of LC cases are of the non-small cell lung cancer (NSCLC) type, and approximately two-thirds of these cases are diagnosed in advanced stages. Only systemic treatment methods can be applied to patients in the advanced stages when there is no chance of surgical treatment. Identification of mutations that cause LC is of vital importance in determining appropriate treatment methods. New noninvasive methods are needed to repeat and monitor these molecular analyses. In this regard, liquid biopsy (LB) is the most promising method. This study aimed to determine the effectiveness of LB in detecting EGFR executive gene mutations that cause LC.

Methods

One hundred forty-six patients in stages IIIB and IV diagnosed with non-squamous cell non-small cell LC were included. Liquid biopsy was performed as a routine procedure in cases where no mutation was detected in solid tissue or in cases with progression after targeted therapy. Liquid biopsy samples were also obtained for the second time from 10 patients who showed progression under the applied treatment. Mutation analyses were performed using the Cobas® EGFR Test, a real-time PCR test designed to detect mutations in exons 18, 20, and 21 and changes in exon 19 of the EGFR gene.

Results

Mutation positivity in paraffin blocks was 21.9%, whereas it was 32.2% in LB. Solids and LB were compatible in 16 patients. Additionally, while no mutation was found in solid tissue in the evaluation of 27 cases, it was detected in LB. It has been observed that new mutations can be detected not only at the time of diagnosis, but also in LB samples taken during the follow-up period, leading to the determination of targeted therapy.

Discussion

The results showed that "liquid biopsy" is a successful and alternative non-invasive method for detecting cancer-causing executive mutations, given the limitations of conventional biopsies.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC

The epidermal growth factor receptor (EGFR) Thr790 Met (T790M) mutation is responsible for approximately half of the acquired resistance to EGFR-tyrosine kinase inhibitor (TKI) in non-small-cell lung cancer (NSCLC) patients. Identifying patients at diagnosis who are likely to develop this mutation after first- or second-generation EGFR-TKI treatment is crucial for better treatment outcomes. This study aims to develop and validate a radiomics-based machine learning (ML) approach to predict the T790M mutation in NSCLC patients at diagnosis. We collected retrospective data from 210 positive EGFR mutation NSCLC patients, extracting 1316 radiomics features from CT images. Using the LASSO algorithm, we selected 10 radiomics features and 2 clinical features most relevant to the mutations. We built models with 7 ML approaches and assessed their performance through the receiver operating characteristic (ROC) curve. The radiomics model and combined model, which integrated radiomics features and relevant clinical factors, achieved an area under the curve (AUC) of 0.80 (95% confidence interval [CI] 0.79-0.81) and 0.86 (0.87-0.88), respectively, in predicting the T790M mutation. Our study presents a convenient and noninvasive radiomics-based ML model for predicting this mutation at the time of diagnosis, aiding in targeted treatment planning for NSCLC patients with EGFR mutations.

Compromised Outcomes in Stage IV Non-Small-Cell Lung Cancer With Actionable Mutations Initially Treated Without Tyrosine Kinase Inhibitors: A Retrospective Analysis of Real-World Data

PURPOSE

Identification and targeting of actionable oncogenic drivers (AODs) in advanced non-small-cell lung cancer (NSCLC) has dramatically improved outcomes. However, genomic testing uptake is variable and hampered by factors including slow turnaround time, frequently resulting in initial non-tyrosine kinase inhibitor (TKI) treatment. We investigate how this behavior affects outcomes.

METHODS

This retrospective analysis of real-world, deidentified data from the Integra Connect Database included adults with stage IV NSCLC newly diagnosed from January 1, 2018, to December 31, 2020, with mutations of EGFR, ALK, ROS1, BRAF, MET, RET, ERBB2, or NTRK. Outcomes were reported as time to next treatment or death (TTNT) and overall survival (OS).

RESULTS

Five hundred ten patients harboring AODs were identified and grouped as follows: group A (n = 379) were treated after the AOD was reported and served as the comparator. One hundred thirty-one patients treated before their AOD report were divided into group B (n = 47) who were initially started on chemotherapy and/or checkpoint inhibitor but switched to appropriate TKI within 35 days and group C (n = 84) who were also started empirically on non-TKI and did not switch within 35 days. Survival (OS) was significantly superior in group A compared with group C; TTNT was significantly superior in group A compared with groups B and C.

CONCLUSION

For patients harboring AODs in advanced NSCLC, initial treatment before receipt of genomic test results yields significantly inferior outcomes and should be avoided. Molecular profiling panels with rapid turnaround times are essential to optimize patient outcomes and should be standard of care.

Targeted Inhibitors of EGFR: Structure, Biology, Biomarkers, and Clinical Applications

Members of the EGFR family of tyrosine kinase receptors are major regulators of cellular proliferation, differentiation, and survival. In humans, abnormal activation of EGFR is associated with the development and progression of many cancer types, which makes it an attractive target for molecular-guided therapy. Two classes of EGFR-targeted cancer therapeutics include monoclonal antibodies (mAbs), which bind to the extracellular domain of EGFR, and tyrosine kinase inhibitors (TKIs), which mostly target the intracellular part of EGFR and inhibit its activity in molecular signaling. While EGFR-specific mAbs and three generations of TKIs have demonstrated clinical efficacy in various settings, molecular evolution of tumors leads to apparent and sometimes inevitable resistance to current therapeutics, which highlights the need for deeper research in this field. Here, we tried to provide a comprehensive and systematic overview of the rationale, molecular mechanisms, and clinical significance of the current EGFR-targeting drugs, highlighting potential candidate molecules in development. We summarized the underlying mechanisms of resistance and available personalized predictive approaches that may lead to improved efficacy of EGFR-targeted therapies. We also discuss recent developments and the use of specific therapeutic strategies, such as multi-targeting agents and combination therapies, for overcoming cancer resistance to EGFR-specific drugs.

Circulating tumor DNA: current implementation issues and future challenges for clinical utility

Over the past decades, liquid biopsy, especially circulating tumor DNA (ctDNA), has received tremendous attention as a noninvasive detection approach for clinical applications, including early diagnosis of cancer and relapse, real-time therapeutic efficacy monitoring, potential target selection and investigation of drug resistance mechanisms. In recent years, the application of next-generation sequencing technology combined with AI technology has significantly improved the accuracy and sensitivity of liquid biopsy, enhancing its potential in solid tumors. However, the increasing integration of such promising tests to improve therapy decision making by oncologists still has complexities and challenges. Here, we propose a conceptual framework of ctDNA technologies and clinical utilities based on bibliometrics and highlight current challenges and future directions, especially in clinical applications such as early detection, minimal residual disease detection, targeted therapy, and immunotherapy. We also discuss the necessities of developing a dynamic field of translational cancer research and rigorous clinical studies that may support therapeutic strategy decision making in the near future.

Circulating tumor DNA as liquid biopsy in lung cancer: Biological characteristics and clinical integration

Lung cancer maintains high morbidity and mortality rate globally despite significant advancements in diagnosis and treatment in the era of precision medicine. Pathological analysis of tumor tissue, the current gold standard for lung cancer diagnosis, is intrusive and intrinsically confined to evaluating the limited amount of tissues that could be physically extracted. However, tissue biopsy has several limitations, including the invasiveness of the procedure and difficulty in obtaining samples for patients at advanced stages., there Additionally,has been no major breakthrough in tumor biomarkers with high specificity and sensitivity, particularly for early-stage lung cancer. Liquid biopsy has been considered a feasible auxiliary tool for tearly dianosis, evaluating treatment responses and monitoring prognosis of lung cancer. Circulating tumor DNA (ctDNA), an ideal biomarker of liquid biopsy, has emerged as one of the most reliable tools for monitoring tumor processes at molecular levels. Herein, this review focuses on tumor heterogeneity to elucidate the superiority of liquid biopsy and retrospectively discussdeciphersolution. We systematically elaborate ctDNA biological characteristics, introduce methods for ctDNA detection, and discuss the current role of plasma ctDNA in lung cancer management. Finally, we summarize the drawbacks of ctDNA analysis and highlight its potential clinical application in lung cancer.

Front-line therapy for brain metastases and non-brain metastases in advanced epidermal growth factor receptor-mutated non-small cell lung cancer: a network meta-analysis

BACKGROUND

The brain is a common metastatic site in patients with non-small cell lung cancer (NSCLC), resulting in a relatively poor prognosis. Systemic therapy with epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) is recommended as the first-line treatment for EGFR -mutated, advanced NSCLC patients. However, intracranial activity varies in different drugs. Thus, brain metastasis (BM) should be considered when choosing the treatment regimens. We conducted this network meta-analysis to explore the optimal first-line therapeutic schedule for advanced EGFR -mutated NSCLC patients with different BM statuses.

METHODS

Randomized controlled trials focusing on EGFR-TKIs (alone or in combination) in advanced and EGFR -mutant NSCLC patients, who have not received systematic treatment, were systematically searched up to December 2021. We extracted and analyzed progression-free survival (PFS) and overall survival (OS). A network meta-analysis was performed with the Bayesian statistical model to determine the survival outcomes of all included therapy regimens using the R software. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to compare intervention measures, and overall rankings of therapies were estimated under the Bayesian framework.

RESULTS

This analysis included 17 RCTs with 5077 patients and 12 therapies, including osimertinib + bevacizumab, aumolertinib, osimertinib, afatinib, dacomitinib, standards of care (SoC, including gefitinib, erlotinib, or icotinib), SoC + apatinib, SoC + bevacizumab, SoC + ramucirumab, SoC + pemetrexed based chemotherapy (PbCT), PbCT, and pemetrexed free chemotherapy (PfCT). For patients with BM, SoC + PbCT improved PFS compared with SoC (HR = 0.40, 95% CI: 0.17-0.95), and osimertinib + bevacizumab was most likely to rank first in PFS, with a cumulative probability of 34.5%, followed by aumolertinib, with a cumulative probability of 28.3%. For patients without BM, osimertinib + bevacizumab, osimertinib, aumolertinib, SoC + PbCT, dacomitinib, SoC + ramucirumab, SoC + bevacizumab, and afatinib showed superior efficacy compared with SoC (HR = 0.43, 95% CI: 0.20-0.90; HR = 0.46, 95% CI: 0.31-0.68; HR = 0.51, 95% CI: 0.34-0.77; HR = 0.50, 95% CI: 0.38-0.66; HR = 0.62, 95% CI: 0.43-0.89; HR = 0.64, 95% CI: 0.44-0.94; HR = 0.61, 95% CI: 0.48-0.76; HR = 0.71, 95% CI: 0.50-1.00), PbCT (HR = 0.29, 95% CI: 0.11-0.74; HR = 0.31, 95% CI: 0.15-0.62; HR = 0.34, 95% CI: 0.17-0.69; HR = 0.34, 95% CI: 0.18-0.64; HR = 0.42, 95% CI: 0.21-0.82; HR = 0.43, 95% CI: 0.22-0.87; HR = 0.41, 95% CI: 0.22-0.74; HR = 0.48, 95% CI: 0.31-0.75), and PfCT (HR = 0.14, 95% CI: 0.06-0.32; HR = 0.15, 95% CI: 0.09-0.26; HR = 0.17, 95% CI: 0.09-0.29; HR = 0.16, 95% CI: 0.10-0.26; HR = 0.20, 95% CI: 0.12-0.35; HR = 0.21, 95% CI: 0.12-0.39; HR = 0.20, 95% CI: 0.12-0.31; HR = 0.23, 95% CI: 0.16-0.34) in terms of PFS. And, SoC + apatinib showed relatively superior PFS when compared with PbCT (HR = 0.44, 95% CI: 0.22-0.92) and PfCT (HR = 0.21, 95% CI: 0.12-0.39), but similar PFS to SoC (HR = 0.65, 95% CI: 0.42-1.03). No statistical differences were observed for PFS in patients without BM between PbCT and SoC (HR = 1.49, 95% CI: 0.84-2.64), but both showed favorable PFS when compared with PfCT (PfCT vs. SoC, HR = 3.09, 95% CI: 2.06-4.55; PbCT vs. PfCT, HR = 0.14, 95% CI: 0.06-0.32). For patients without BM, osimertinib + bevacizumab was most likely to rank the first, with cumulative probabilities of 47.1%. For OS, SoC + PbCT was most likely to rank first in patients with and without BM, with cumulative probabilities of 46.8%, and 37.3%, respectively.

CONCLUSION

Osimertinib + bevacizumab is most likely to rank first in PFS in advanced EGFR -mutated NSCLC patients with or without BM, and SoC + PbCT is most likely to rank first in OS.

Expert consensus to optimize the management of older adult patients with advanced EGFR-mutated non-small cell lung cancer

Lung cancer (LC) is associated with ageing, with the average age of affected individuals being approximately 70 years. However, despite a higher incidence and prevalence among older people, the older adult population is underrepresented in clinical trials. For LC with Epidermal Growth Factor Receptor (EGFR) mutations, there is no clear association of this mutation with age. Geriatric assessments (GAs) and a multidisciplinary approach are essential for defining the optimal treatment. In this consensus, a group of experts selected from the Oncogeriatrics Section of the Spanish Society of Medical Oncology (Sección de Oncogeriatría de la Sociedad Española de Oncología Médica-SEOM), the Spanish Lung Cancer Group (Grupo Español de Cáncer de Pulmón-GECP) and the Association for Research on Lung Cancer in Women (Asociación para la Investigación del Cáncer de Pulmón en Mujeres-ICAPEM) evaluate the scientific evidence currently available and propose a series of recommendations to optimize the management of older adult patients with advanced LC with EGFR mutations.

Hope and Challenges: Immunotherapy in EGFR-Mutant NSCLC Patients

EGFR tyrosine kinase inhibitors (TKIs) are the preferred initial treatment for non-small cell lung cancer (NSCLC) patients harboring sensitive EGFR mutations. Sadly, remission is transient, and no approved effective treatment options are available for EGFR-TKI-advanced EGFR-mutant NSCLCs. Although immunotherapy with immune checkpoint inhibitors (ICIs) induces sustained cancer remission in a subset of NSCLCs, ICI therapy exhibits limited activity in most EGFR-mutant NSCLCs. Mechanistically, the strong oncogenic EGFR signaling in EGFR-mutant NSCLCs contributes to a non-inflamed tumor immune microenvironment (TIME), characterized by a limited number of CD8+ T cell infiltration, a high number of regulatory CD4+ T cells, and an increased number of inactivated infiltrated T cells. Additionally, EGFR-mutant NSCLC patients are generally non-smokers with low levels of PD-L1 expression and tumor mutation burden. Promisingly, a small population of EGFR-mutant NSCLCs still durably respond to ICI therapy. The hope of ICI therapy from pre-clinical studies and clinical trials is reviewed in EGFR-mutant NSCLCs. The challenges of application ICI therapy in EGFR-mutant NSCLCs are also reviewed.

Resistance of Lung Cancer to EGFR-Specific Kinase Inhibitors: Activation of Bypass Pathways and Endogenous Mutators

Epidermal growth factor receptor (EGFR)-specific tyrosine kinase inhibitors (TKIs) have changed the landscape of lung cancer therapy. For patients who are treated with the new TKIs, the current median survival exceeds 3 years, substantially better than the average 20 month survival rate only a decade ago. Unfortunately, despite initial efficacy, nearly all treated patients evolve drug resistance due to the emergence of either new mutations or rewired signaling pathways that engage other receptor tyrosine kinases (RTKs), such as MET, HER3 and AXL. Apparently, the emergence of mutations is preceded by a phase of epigenetic alterations that finely regulate the cell cycle, bias a mesenchymal phenotype and activate antioxidants. Concomitantly, cells that evade TKI-induced apoptosis (i.e., drug-tolerant persister cells) activate an intrinsic mutagenic program reminiscent of the SOS system deployed when bacteria are exposed to antibiotics. This mammalian system imbalances the purine-to-pyrimidine ratio, inhibits DNA repair and boosts expression of mutation-prone DNA polymerases. Thus, the net outcome of the SOS response is a greater probability to evolve new mutations. Deeper understanding of the persister-to-resister transformation, along with the development of next-generation TKIs, EGFR-specific proteolysis targeting chimeras (PROTACs), as well as bispecific antibodies, will permit delaying the onset of relapses and prolonging survival of patients with EGFR+ lung cancer.

Mathematical analysis identifies the optimal treatment strategy for epidermal growth factor receptor-mutated non-small cell lung cancer

Introduction

In Asians, more than half of non-small cell lung cancers (NSCLC) are induced by epidermal growth factor receptor (EGFR) mutations. Although patients carrying EGFR driver mutations display a good initial response to EGFR-Tyrosine Kinase Inhibitors (EGFR-TKIs), additional mutations provoke drug resistance. Hence, predicting tumor dynamics before treatment initiation and formulating a reasonable treatment schedule is an urgent challenge.

Methods

To overcome this problem, we constructed a mathematical model based on clinical observations and investigated the optimal schedules for EGFR-TKI therapy.

Results

Based on published data on cell growth rates under different drugs, we found that using osimertinib that are efficient for secondary resistant cells as the first-line drug is beneficial in monotherapy, which is consistent with published clinical statistical data. Moreover, we identified the existence of a suitable drug-switching time; that is, changing drugs too early or too late was not helpful. Furthermore, we demonstrate that osimertinib combined with erlotinib or gefitinib as first-line treatment, has the potential for clinical application. Finally, we examined the relationship between the initial ratio of resistant cells and final cell number under different treatment conditions, and summarized it into a therapy suggestion map. By performing parameter sensitivity analysis, we identified the condition where　osimertinib-first therapy was recommended as the optimal treatment option.

Discussion

This study for the first time theoretically showed the optimal treatment strategies based on the known information in NSCLC. Our framework can be applied to other types of cancer in the future.

Inhibition of HSP90 in Driver Oncogene-Defined Lung Adenocarcinoma Cell Lines: Key Proteins Underpinning Therapeutic Efficacy

The use of 90 kDa heat shock protein (HSP90) inhibition as a therapy in lung adenocarcinoma remains limited due to moderate drug efficacy, the emergence of drug resistance, and early tumor recurrence. The main objective of this research is to maximize treatment efficacy in lung adenocarcinoma by identifying key proteins underlying HSP90 inhibition according to molecular background, and to search for potential biomarkers of response to this therapeutic strategy. Inhibition of the HSP90 chaperone was evaluated in different lung adenocarcinoma cell lines representing the most relevant molecular alterations (EGFR mutations, KRAS mutations, or EML4-ALK translocation) and wild-type genes found in each tumor subtype. The proteomic technique iTRAQ was used to identify proteomic profiles and determine which biological pathways are involved in the response to HSP90 inhibition in lung adenocarcinoma. We corroborated the greater efficacy of HSP90 inhibition in EGFR mutated or EML4-ALK translocated cell lines. We identified proteins specifically and significantly deregulated after HSP90 inhibition for each molecular alteration. Two proteins, ADI1 and RRP1, showed independently deregulated molecular patterns. Functional annotation of the altered proteins suggested that apoptosis was the only pathway affected by HSP90 inhibition across all molecular subgroups. The expression of ADI1 and RRP1 could be used to monitor the correct inhibition of HSP90 in lung adenocarcinoma. In addition, proteins such as ASS1, ITCH, or UBE2L3 involved in pathways related to the inhibition of a particular molecular background could be used as potential response biomarkers, thereby improving the efficacy of this therapeutic approach to combat lung adenocarcinoma.

Discovery of potent and effective inhibitors containing sulfoxide structures targeting EML4-ALK rearrangement and EGFR mutant non-small cell lung cancer

For non-small cell lung cancer patients with dual mutations in EGFR and ALK, there are currently no effective therapies. Consequently, novel EGFR/ALK dual-target inhibitors are urgently needed for the treatment of NSCLC. Here, we designed a series of highly effective small molecule dual inhibitors of ALK and EGFR. The biological evaluation highlighted that most of these new compounds could effectively inhibit both ALK and EGFR in enzymatic and cellular assays. Compound (+)-8l was investigated for its antitumor properties, and it was found that (+)-8l blocked the phosphorylation of EGFR and ALK induced by ligands and inhibited phosphorylation-ERK and phosphorylation-AKT induced by ligands. Furthermore, (+)-8l also induces apoptosis and G0/G1 cell cycle arrest in cancer cells and inhibits proliferation, migration, and invasion. Notably, (+)-8l significantly suppressed tumor growth in the H1975 cell-inoculated xenograft model (20 mg/kg/d, TGI: 96.11%), PC9 cell-inoculated xenograft model (20 mg/kg/d, TGI: 96.61%) and EML4 ALK-Baf3 cell-inoculated xenograft model (30 mg/kg/d, TGI: 80.86%). These results highlight the differentiated potential of (+)-8l to inhibit ALK rearrangement and EGFR mutation in NSCLC.

Novel systemic therapies in the management of tyrosine kinase inhibitor-pretreated patients with epidermal growth factor receptor-mutant non-small-cell lung cancer

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are the standard first-line option for non-small-cell lung cancer (NSCLC) harboring active EGFR mutations. The overall survival of patients with advanced NSCLC has improved dramatically with the development of comprehensive genetic profiles and targeted therapies. However, resistance inevitably occurs, leading to disease progression after approximately 10-18 months of EGFR-TKI treatment. Platinum-based chemotherapy is the standard treatment for patients who have experienced disease progression while undergoing EGFR-TKI treatment, but its efficacy is limited. The management of extensively pretreated patients with EGFR-mutant NSCLC is becoming increasingly concerning. New agents have shown encouraging efficacy in clinical trials for this patient population, including fourth-generation EGFR-TKIs, EGFR-TKIs combined with counterpart targeted drugs, and novel agents such as antibody-drug conjugates. We review current efforts to manage extensively pretreated patients with EGFR-mutant NSCLC.

Multi-state network meta-analysis of progression and survival data

Multiple randomized controlled trials, each comparing a subset of competing interventions, can be synthesized by means of a network meta-analysis to estimate relative treatment effects between all interventions in the evidence base. Here we focus on estimating relative treatment effects for time-to-event outcomes. Cancer treatment effectiveness is frequently quantified by analyzing overall survival (OS) and progression-free survival (PFS). We introduce a method for the joint network meta-analysis of PFS and OS that is based on a time-inhomogeneous tri-state (stable, progression, and death) Markov model where time-varying transition rates and relative treatment effects are modeled with parametric survival functions or fractional polynomials. The data needed to run these analyses can be extracted directly from published survival curves. We demonstrate use by applying the methodology to a network of trials for the treatment of non-small-cell lung cancer. The proposed approach allows the joint synthesis of OS and PFS, relaxes the proportional hazards assumption, extends to a network of more than two treatments, and simplifies the parameterization of decision and cost-effectiveness analyses.

Protein Phosphatase 2A as a Therapeutic Target in Pulmonary Diseases

New disease targets and medicinal chemistry approaches are urgently needed to develop novel therapeutic strategies for treating pulmonary diseases. Emerging evidence suggests that reduced activity of protein phosphatase 2A (PP2A), a complex heterotrimeric enzyme that regulates dephosphorylation of serine and threonine residues from many proteins, is observed in multiple pulmonary diseases, including lung cancer, smoke-induced chronic obstructive pulmonary disease, alpha-1 antitrypsin deficiency, asthma, and idiopathic pulmonary fibrosis. Loss of PP2A responses is linked to many mechanisms associated with disease progressions, such as senescence, proliferation, inflammation, corticosteroid resistance, enhanced protease responses, and mRNA stability. Therefore, chemical restoration of PP2A may represent a novel treatment for these diseases. This review outlines the potential impact of reduced PP2A activity in pulmonary diseases, endogenous and exogenous inhibitors of PP2A, details the possible PP2A-dependent mechanisms observed in these conditions, and outlines potential therapeutic strategies for treatment. Substantial medicinal chemistry efforts are underway to develop therapeutics targeting PP2A activity. The development of specific activators of PP2A that selectively target PP2A holoenzymes could improve our understanding of the function of PP2A in pulmonary diseases. This may lead to the development of therapeutics for restoring normal PP2A responses within the lung.

Using cfDNA and ctDNA as Oncologic Markers: A Path to Clinical Validation

The detection of circulating tumor DNA (ctDNA) in liquid biopsy samples as an oncological marker is being used in clinical trials at every step of clinical management. As ctDNA-based liquid biopsy kits are developed and used in clinics, companies work towards increased convenience, accuracy, and cost over solid biopsies and other oncological markers. The technology used to differentiate ctDNA and cell-free DNA (cfDNA) continues to improve with new tests and methodologies being able to detect down to mutant allele frequencies of 0.001% or 1/100,000 copies. Recognizing this development in technology, the FDA has recently given pre-market approval and breakthrough device designations to multiple companies. The purpose of this review is to look at the utility of measuring total cfDNA, techniques used to differentiate ctDNA from cfDNA, and the utility of different ctDNA-based liquid biopsy kits using relevant articles from PubMed, clinicaltrials.gov, FDA approvals, and company newsletters. Measuring total cfDNA could be a cost-effective, viable prognostic marker, but various factors do not favor it as a monitoring tool during chemotherapy. While there may be a place in the clinic for measuring total cfDNA in the future, the lack of standardization means that it is difficult to move forward with large-scale clinical validation studies currently. While the detection of ctDNA has promising standardized liquid biopsy kits from various companies with large clinical trials ongoing, their applications in screening and minimal residual disease can suffer from lower sensitivity. However, researchers are working towards solutions to these issues with innovations in technology, multi-omics, and sampling. With great promise, further research is needed before liquid biopsies can be recommended for everyday clinical management.

Liquid biopsies for cancer: From bench to clinic

Over the past two decades, liquid biopsy has been increasingly used as a supplement, or even, a replacement to the traditional biopsy in clinical oncological practice, due to its noninvasive and early detectable properties. The detections can be based on a variety of features extracted from tumor‑derived entities, such as quantitative alterations, genetic changes, and epigenetic aberrations, and so on. So far, the clinical applications of cancer liquid biopsy mainly aimed at two aspects, prediction (early diagnosis, prognosis and recurrent evaluation, therapeutic response monitoring, etc.) and intervention. In spite of the rapid development and great contributions achieved, cancer liquid biopsy is still a field under investigation and deserves more clinical practice. To better open up future work, here we systematically reviewed and compared the latest progress of the most widely recognized circulating components, including circulating tumor cells, cell-free circulating DNA, noncoding RNA, and nucleosomes, from their discovery histories to clinical values. According to the features applied, we particularly divided the contents into two parts, beyond epigenetics and epigenetic-based. The latter was considered as the highlight along with a brief overview of the advances in both experimental and bioinformatic approaches, due to its unique advantages and relatively lack of documentation.

Optimizing the Treatment for Advanced Non-Small-Cell Lung Cancer with Mutated Epidermal Growth Factor Receptor in Low-Income Countries: A Review

Introduction

Osimertinib is the treatment of choice for epidermal growth factor receptor (EGFR)-mutated advanced non-small-cell lung cancer (NSCLC). Because of its high price, many low-income countries, such as Syria, cannot provide osimertinib, which makes it difficult to choose the appropriate treatment for these patients. This study aimed to review articles that assessed tyrosine kinase inhibitors (TKIs) for advanced NSCLC and developed an appropriate treatment plan for Syrian patients.

Methods

An electronic literature search was conducted of published phase II and III studies that assessed the efficacy of EGFR-TKIs for advanced NSCLC between January 2003 and May 2022.

Results

Seventeen articles were reviewed. The results were similar when erlotinib or icotinib was compared with gefitinib. Progression-free survival and overall survival for afatinib and dacomitinib were longer than for gefitinib, with small significant differences. Osimertinib was the only TKI that showed efficacy against the T790M mutation, which showed an improvement over the first- and second-generation TKIs. Osimertinib as a first-line therapy is not cost-effective compared with first- and second-generation TKIs.

Conclusion

Osimertinib is the preferred first-line treatment in patients with advanced EGFR-mutated NSCLC. First- and second-generation TKIs are still considered good options, especially in low-income countries that cannot cover the costs of osimertinib.

Efficacy observation and prognosis analysis of EGFR-TKIs alone versus EGFR-TKIs plus chemotherapy in advanced lung adenocarcinoma with EGFR Exon 19 Deletion, Exon 21 L858R mutation: A historical cohort study

The aim of this study was to investigate the clinical efficacy and determine the prognostic value of Epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKIs) alone versus EGFR-TKIs plus chemotherapy for the treatment of advanced lung adenocarcinoma with EGFR Exon 19 Deletion(19Del), Exon 21 L858R (L858R) mutation. The demographic and clinical characteristics of 110 newly diagnosed metastatic lung adenocarcinoma patients with the EGFR 19Del, L858R mutation from June 2016 to October 2018 were retrospectively analyzed. Total remission rate (ORR), disease control rate (DCR), median progression-free survival (mPFS), and patient 1-year/2-year survival between EGFR-TKIs combined with first-line platinum-containing double-drug chemotherapy (Observation) group and an EGFR-TKIs alone (Control) group were evaluated and analyzed. For lung adenocarcinoma patients with the EGFR 19Del, L858R mutation, the Observation group had a better ORR (81.4% vs 52.2%), mPFS (12.0 vs 9 months), and 2-year survival (72.1% vs 52.2%) than the Control group, and the differences were statistically significant (P < .05), but DCR (95.3% vs 88.1%) and 1-year survival (90.7% vs 83.6%) were not significantly different between the groups (P > .05). For lung adenocarcinoma with the EGFR 19Del mutation, the Observation group showed a better ORR (81.8% vs 54.3%), and mPFS (14.5 vs 11.0 months) than the Control group, and the differences were statistically significant (P < .05), but DCR (95.5% vs 91.4%), 1-year survival (90.9% vs 85.7%), and 2-year survival (72.7% vs 60.0%) were not significantly different (P > .05). For lung adenocarcinoma with the EGFR L858R mutation, the Observation group showed a better ORR (81.0% vs 50.0%), mPFS (12.0 vs 9.0 months), and 2-year survival (71.4% vs 43.8%) than the Control group (P < .05), but DCR (95.2% vs 84.4%) and 1-year survival (90.5% vs 81.3%) were not significantly different (P > .05). Compared to EGFR-TKIs alone, EGFR-TKIs combined with chemotherapy improved ORR and mPFS in cases of advanced lung adenocarcinoma with EGFR 19Del, L858R mutation. In particular, patients with the EGFR L858R mutation showed a long-term survival benefit trend. EGFR-TKIs combined chemotherapy may therefore be a viable treatment method for delaying targeted drug resistance.

Arising Novel Agents in Lung Cancer: Are Bispecifics and ADCs the New Paradigm?

Lung cancer is one of the most common cancers with the highest mortality. Non-small cell lung cancer (NSCLC) contributes to around 85% of lung cancer diagnoses (vs. 15% for small cell lung cancer). The treatment of NSCLC has vastly changed in the last two decades since the development of immunotherapy and targeted therapy against driver mutations. As is the nature of malignancy, cancer cells have acquired resistance to these treatments prompting an investigation into novel treatments and new targets. Bispecific antibodies, capable of targeting multiple substrates at once, and antibody-drug conjugates that can preferentially deliver chemotherapy to tumor cells are examples of this innovation. From our initial evaluation, both treatment modalities appear promising.

Differential clinicopathological features, treatments and outcomes in patients with Exon 19 deletion and Exon 21 L858R EGFR mutation-positive adenocarcinoma non-small-cell lung cancer

The most common oncogenic driver in non-small-cell lung cancer (NSCLC) is the epidermal growth factor receptor (EGFR) gene mutations that occur more frequently among Asians (30%-50%) as opposed to Caucasians (10%-15%). Lung cancer is one of the most prevalent cancers in India, with a reported adenocarcinoma positivity ranging between 26.1% and 86.9% in NSCLC patients. The prevalence of EGFR mutations in adenocarcinoma patients (36.9%) in India is higher than that of Caucasian patients and lower than that of East Asian patients. The exon 19 deletion (Ex19del) is more common than exon 21 L858R mutations in Indian patients with NSCLC. Studies have shown that the clinical behaviour of patients with advanced NSCLC differs between EGFR Ex19del and exon 21 L858R mutation status. In this study, we investigated the differences in clinicopathological features and survival outcomes after first line and second-line treatment with EGFR tyrosine kinase inhibitors (EGFR TKIs) in NSCLC patients with Ex19del and exon 21 L858R EGFR mutation status. This study also focuses on the role and potential benefits of dacomitinib, a second-generation irreversible EGFR TKI, in patients with Ex19del and exon 21 L858R EGFR mutation-positive advanced NSCLC in Indian settings.

The Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer: From Molecular Mechanisms to Clinical Application of New Therapeutic Strategies

Almost 17% of Western patients affected by non-small cell lung cancer (NSCLC) have an activating epidermal growth factor receptor (EGFR) gene mutation. Del19 and L858R are the most-common ones; they are positive predictive factors for EGFR tyrosine kinase inhibitors (TKIs). Currently, osimertinib, a third-generation TKI, is the standard first-line therapy for advanced NSCLC patients with common EGFR mutations. This drug is also administered as a second-line treatment for those patients with the T790M EGFR mutation and previously treated with first- (erlotinib, gefitinib) or second- (afatinib) generation TKIs. However, despite the high clinical efficacy, the prognosis remains severe due to intrinsic or acquired resistance to EGRF-TKIs. Various mechanisms of resistance have been reported including the activation of other signalling pathways, the development of secondary mutations, the alteration of the downstream pathways, and phenotypic transformation. However, further data are needed to achieve the goal of overcoming resistance to EGFR-TKIs, hence the necessity of discovering novel genetic targets and developing new-generation drugs. This review aimed to deepen the knowledge of intrinsic and acquired molecular mechanisms of resistance to EGFR-TKIs and the development of new therapeutic strategies to overcome TKIs' resistance.

Safety and clinical activity of atezolizumab plus erlotinib in patients with non-small-cell lung cancer

BACKGROUND

Acquired resistance limits long-term epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) efficacy in patients with EGFR mutation-positive non-small-cell lung cancer (NSCLC) in whom anti-programmed death-ligand 1 (PD-L1) efficacy is also limited. We hypothesized that combining atezolizumab with erlotinib could enhance antitumor immunity and extend efficacy in these patients.

PATIENTS AND METHODS

This open-label phase Ib trial was conducted in adults aged ≥18 years who had advanced, unresectable NSCLC. Stage 1 (safety evaluation) enrolled EGFR TKI-naive patients regardless of EGFR status. Stage 2 (expansion) enrolled patients with EGFR-mutant NSCLC treated with ≤1 prior non-EGFR TKI therapy. Patients received 150 mg erlotinib orally once daily. After a 7-day erlotinib run-in, atezolizumab 1200 mg was administered intravenously every 3 weeks. The primary endpoint was the safety and tolerability of the combination in all patients; secondary endpoints included antitumor activity per RECIST 1.1 in stage 2 patients.

RESULTS

At the data cut-off on 7 May 2020, 28 patients (8 in stage 1, 20 in stage 2) were assessable for safety. No dose-limiting toxicities or grade 4 or 5 treatment-related adverse events occurred. Grade 3 treatment-related adverse events occurred in 46% of patients; the most common were increased alanine aminotransferase, diarrhea, pyrexia, and rash (each in 7% of patients). Serious adverse events occurred in 50% of patients. Pneumonitis (grade 1) was reported in a single patient (4%). The objective response rate was 75% [95% confidence interval (CI) 50.9% to 91.3%]), median response duration was 18.9 months (95% CI 9.5-40.5 months), median progression-free survival was 15.4 months (95% CI 8.4-39.0 months), and median overall survival was not estimable (NE) (95% CI 34.6-NE).

CONCLUSIONS

Atezolizumab combined with erlotinib demonstrated a tolerable safety profile and encouraging, durable clinical activity in patients with advanced EGFR mutation-positive NSCLC.

Trends in antineoplastic drug use, cost and prescribing patterns among patients with lung cancer in nine major cities of China, 2016-2020: a retrospective observational study based on inpatient and outpatient hospital data

OBJECTIVES

It is unclear whether the use of antineoplastic drugs for patients with lung cancer in China has changed after the implementation of the national drug price negotiation in 2016 and continual update of clinical guidelines. This study aims to evaluate the trends in antineoplastic drug use, cost and prescribing patterns among patients with lung cancer in major cities of China.

DESIGN

We conducted a retrospective observational study using data from January 2016 to December 2020.

SETTING

This study used prescription records based on inpatient and outpatient hospital data from 97 hospitals in 9 major cities of China.

PARTICIPANTS

A total of 218 325 antineoplastic drug prescriptions in patients with lung cancer were retrospectively collected from the Hospital Prescription Analysis Cooperative Project during the study period.

OUTCOME MEASURES

Trends in antineoplastic drug use, cost and prescribing patterns among patients with lung cancer.

RESULTS

The yearly antineoplastic prescriptions increased by 85.6% from 28 594 in 2016 to 53 063 in 2020 (Z=1.71, p=0.086). Significant increases were seen in the prescriptions for protein kinase inhibitors (PKIs) and monoclonal antibodies (mAbs), whereas significant decreases were observed in antimetabolites, plant alkaloids and platinum compounds. The yearly cost increased progressively by 145.0% from ¥113.6 million in 2016 to ¥278.3 million in 2020 (Z=2.20, p=0.027). The top three anticancer drug classes in terms of total cost were PKIs, antimetabolites and mAbs. In prescribing patterns of antineoplastic agents for lung cancer, monotherapy, and triple or more drug combinations gradually increased, while dual combinations decreased significantly from 30.8% to 19.6%.

CONCLUSIONS

Prescription practices among patients with lung cancer in China underwent major changes during the study period. The observed trends can aid in understanding the present medication use status of patients with lung cancer in China and provide information for future drug management.

Specific High-Sensitivity Enzymatic Reporter UnLOCKing-Mediated Detection of Oncogenic BCR::ABL1 and EGFR Rearrangements

Advances in molecular medicine have placed nucleic acid detection methods at the center of an increasing number of clinical applications. Polymerase chain reaction (PCR)-based diagnostics have been widely adopted for their versatility, specificity, and sensitivity. However, recently reported clustered regularly interspaced short palindromic repeats-based methods have demonstrated equivalent to superior performance, with increased portability and reduced processing time and cost. In this study, we applied Specific High-Sensitivity Enzymatic Reporter UnLOCKing (SHERLOCK) technology to the detection of oncogenic rearrangements. We implemented SHERLOCK for the detection of BCR::ABL1 mRNA, a hallmark of chronic myeloid leukemia (CML), and EGFR DNA oncogenic alleles, frequently detected in glioblastoma and non-small cell lung cancer (NSCLC). SHERLOCK enabled rapid, sensitive, and variant-specific detection of BCR::ABL1 and EGFR alterations. Compared with the gold-standard PCR-based methods currently used in clinic, SHERLOCK achieved equivalent to greater sensitivity, suggesting it could be a new tool in CML and NSCLC, to detect low level of molecular residual disease.

Brief Report: Severe Pneumonitis After Combined Thoracic Radiotherapy and Osimertinib

Introduction

Osimertinib is an effective treatment for metastatic NSCLC. Occasionally, thoracic radiation therapy (TRT) is delivered to patients receiving osimertinib to treat residual or progressing pulmonary tumors. Anecdotal reports suggest that the delivery of TRT in combination with osimertinib may be associated with a high risk of severe pneumonitis.

Methods

A retrospective study was performed at a single academic medical center in the United States to investigate the incidence of severe pneumonitis among patients treated with combined TRT and osimertinib between June 2016 and December 2021. Baseline patient characteristics, tumor size and location, and dosimetric parameters were evaluated. The highest grade of radiation pneumonitis that developed within 6 months of treatment was scored in accordance with the Common Terminology Criteria for Adverse Events version 5.0.

Results

A total of 16 patients were identified who were treated with combined TRT and osimertinib. All had a diagnosis of metastatic NSCLC. Treatment-related grade greater than or equal to 2 pneumonitis developed in 56%, grade greater than or equal to 3 in 37.5%, and grade 4 in 6.3%; no patient developed grade 5 pneumonitis. Median time to any-grade pneumonitis was 29 days (1-84 d); all patients had symptom resolution with expectant management or oral steroid therapies. All patients discovered to have grade greater than or equal to 3 pneumonitis (n = 6) received TRT to tumors located within 2 cm of the proximal bronchial tree, including tumors abutting the proximal bronchial tree (n = 2) and within the mediastinum (n = 1).

Conclusions

The combination of TRT with osimertinib was associated with a high rate of severe pneumonitis that required oral steroid medications. Larger studies are needed to validate these findings and to understand the clinical and treatment factors that influence this risk and how they can be mitigated.

Prognostic value of circulating tumor DNA using target next-generation sequencing in extensive-stage small-cell lung cancer

BACKGROUND

Chemotherapy remains the mainstay of treatment for small-cell lung cancer (SCLC). Liquid biopsies provide a convenient and non-invasive detection method for monitoring disease progression in patients with SCLC.

METHODS

We performed next-generation sequencing of 159 plasma samples from 69 patients with extensive-stage (ES)-SCLC. Circulating tumor (ct)DNA levels were quantified in haploid genome equivalents per mL (hGE/mL). MuTect2 was used to detect single nucleotide variants and short insertions/deletions. The "enrichKEGG" function in the "clusterProfiler" R package was used to enrich the mutated genes that only appeared during disease progression.

RESULTS

In our cohort, 66 of 69 (95.7%) plasma samples at the time of diagnosis had detectable somatic mutations; TP53 (89%) and RB1(56%) were the most frequent mutations, as well as copy number variations in some common SCLC-related genes such as RB1. Combination ctDNA and tissue testing improved the overall detection rate of actionable mutations from 19.4% to 26.9% compared with that of tissue detection alone. In addition, ctDNA levels changed dynamically during the course of treatment and were significantly associated with decreased progression-free survival. Notably, actionable mutations were detected at the time of diagnosis and during disease progression.

CONCLUSIONS

Our study revealed a dynamic somatic mutation profile through continuous ctDNA detection and confirmed that ctDNA levels can reflect tumor burden and predict PFS in patients with extensive stage-SCLC. Furthermore, we demonstrated that plasma ctDNA assays can provide real-time information on somatic mutations for potential targeted therapies for SCLC.

FACILITATE: A real-world, multicenter, prospective study investigating the utility of a rapid, fully automated real-time PCR assay versus local reference methods for detecting epidermal growth factor receptor variants in NSCLC

Accurate testing for epidermal growth factor receptor (EGFR) variants is essential for informing treatment decisions in non-small cell lung cancer (NSCLC). Automated diagnostic workflows may allow more streamlined initiation of targeted treatments, where appropriate, while comprehensive variant analysis is ongoing. FACILITATE, a real-world, prospective, multicenter, European study, evaluated performance and analytical turnaround time of the Idylla™ EGFR Mutation Test compared with local reference methods. Sixteen sites obtained formalin-fixed paraffin-embedded biopsy samples with ≥ 10% neoplastic cells from patients with NSCLC. Consecutive 5 μm sections from patient samples were tested for clinically relevant NSCLC-associated EGFR variants using the Idylla™ EGFR Mutation Test and local reference methods; performance (concordance) and analytical turnaround time were compared. Between January 2019 and November 2020, 1,474 parallel analyses were conducted. Overall percentage agreement was 97.7% [n = 1,418; 95% confidence interval (CI): 96.8-98.3], positive agreement, 87.4% (n = 182; 95% CI: 81.8-91.4) and negative agreement, 99.2% (n = 1,236; 95% CI: 98.5-99.6). There were 38 (2.6%) discordant cases. Ninety percent of results were returned with an analytical turnaround time of within 1 week using the Idylla™ EGFR Mutation Test versus ∼22 days using reference methods. The Idylla™ EGFR Mutation Test performed well versus local methods and had shorter analytical turnaround time. The Idylla™ EGFR Mutation Test can thus support application of personalized medicine in NSCLC.

A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer

BACKGROUND

The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-mutated NSCLC are treated with EGFR-TKIs and develop disease progression within 1 year. Therefore, the early prediction of tumor progression in patients who receive EGFR-TKIs can facilitate patient management and development of treatment strategies. We proposed a deep learning approach based on both quantitative computed tomography (CT) characteristics and clinical data to predict progression-free survival (PFS) in patients with advanced NSCLC after EGFR-TKI treatment.

METHODS

A total of 593 radiomic features were extracted from pretreatment chest CT images. The DeepSurv models for the progression risk stratification of EGFR-TKI treatment were proposed based on CT radiomic and clinical features from 270 stage IIIB-IV EGFR-mutant NSCLC patients. Time-dependent PFS predictions at 3, 12, 18, and 24 months and estimated personalized PFS curves were calculated using the DeepSurv models.

RESULTS

The model combining clinical and radiomic features demonstrated better prediction performance than the clinical model. The model achieving areas under the curve of 0.76, 0.77, 0.76, and 0.86 can predict PFS at 3, 12, 18, and 24 months, respectively. The personalized PFS curves showed significant differences (p < 0.003) between groups with good (PFS > median) and poor (PFS < median) tumor control.

CONCLUSIONS

The DeepSurv models provided reliable multi-time-point PFS predictions for EGFR-TKI treatment. The personalized PFS curves can help make accurate and individualized predictions of tumor progression. The proposed deep learning approach holds promise for improving the pre-TKI personalized management of patients with EGFR-mutated NSCLC.

Treatment Strategies for Non-Small Cell Lung Cancer with Common EGFR Mutations: A Review of the History of EGFR TKIs Approval and Emerging Data

The development of targeted therapies over the past two decades has led to a dramatic change in the management of EGFR-mutant non-small cell lung cancer (NSCLC). While there are currently five approved EGFR tyrosine kinase inhibitors (TKIs) for treating EGFR-mutant NSCLC in the first-line setting, therapy selection after progression on EGFR TKIs remains complex. Multiple groups are investigating novel therapies and drug combinations to determine the optimal therapy and treatment sequence for these patients. In this review, we summarize the landmark trials and history of the approval of EGFR TKIs, their efficacy and tolerability, and the role of these therapies in patients with central nervous system metastasis. We also briefly discuss the mechanisms of resistance to EGFR TKIs, ongoing attempts to overcome resistance and improve outcomes, and finalize by offering treatment sequencing recommendations.

First-generation EGFR-TKI plus bevacizumab and chemotherapy for advanced EGFR-mutated non-squamous non-small-cell lung cancer: a retrospective study

BACKGROUND

This study aimed to compare the efficacy and safety of different treatment modalities for previously untreated advanced EGFR-mutated non-squamous non-small-cell lung cancer (NSCLC).

METHODS

This retrospective study included 196 advanced EGFR-mutated non-squamous NSCLC. 107 received EGFR-tyrosine kinase inhibitor (EGFR-TKI) monotherapy (T), 53 received EGFR-TKI + bevacizumab (T + A), and 36 received EGFR-TKI + bevacizumab + chemotherapy (T + A + C). The endpoints included progression-free survival (PFS), overall survival (OS), objective response rate (ORR) and adverse events (AEs).

RESULTS

The median PFS was 27 months in the T + A + C group, 17 months in the T + A group, and 10 months in the T group. The multivariate analysis showed lower disease progression in the T + A + C group (HR, 0.377; 95% CI, 0.224-0.634; p < .001). Subgroup analysis showed that the T + A + C group did significantly improve PFS in patients with metastatic organs ≥2, brain metastases, liver metastases, and EGFR 19del compared to T + A group. No significant improvement in OS in the T + A + C group versus the T + A group, but a significant benefit in the subgroup of patients with metastatic organs ≥2. We also performed a subgroup analysis of the T + A + C group versus the T group, which similarly showed that the T + A + C group had better PFS than the T group in most subgroups, and the T + A + C group significantly improved OS in patients with metastatic organ ≥2 and liver metastases compared with the T group. The ORR was significantly higher in the T + A + C group than A + T and T groups (83.3% vs 71.7% vs 60.7%, p = .033). In safety, the T + A + C group had a higher incidence of AEs, but the majority was grade 1-2. The most frequent AEs of grade ≥ 3 were leukopenia (8.3%) and increased aminotransferase (8.3%) in the T + A + C group.

CONCLUSIONS

First-generation EGFR-TKI plus bevacizumab plus chemotherapy was a promising strategy for advanced EGFR-mutated non-squamous NSCLC.