Impact of Specific Epidermal Growth Factor Receptor (EGFR) Mutations and Clinical Characteristics on Outcomes After Treatment With EGFR Tyrosine Kinase Inhibitors Versus Chemotherapy in EGFR-Mutant Lung Cancer: A Meta-Analysis

RA16-Modified DNA Tetrahedra: Targeted Delivery and Inhibition in Non-Small Cell Lung Cancer

Lung cancer remains the leading cause of cancer-related deaths, with the five-year survival rate for non-small cell lung cancer (NSCLC) patients as low as 10%. RNA aptamer RA16 has shown potential as a targeted therapy, binding specifically to NSCLC NCI-H460 cells and inhibiting proliferation in murine models. However, its clinical application is limited by poor in vivo stability. To overcome this, we developed RA16-functionalized DNA nanomaterials, combining the aptamer's targeting ability with the stability and high drug-loading capacity of tetrahedral DNA (TD) nanostructures. In vitro assays confirmed the biocompatibility, stability, and high drug-loading capacity of RA16-TD nanoparticles. RA16-TD enhanced cell binding and internalization by 10-fold compared to free RA16. In H460 xenograft mouse models, RA16-TD accumulation at the tumor site was 2.43-fold higher than free RA16 at 72 h postadministration. Furthermore, RA16-TD-loaded Epirubicin showed superior therapeutic efficacy, with a tumor inhibition rate of 77.8%, compared to 44.6% for free Epirubicin and 51.7% for RA16-Epirubicin. These results highlight the potential of RA16-functionalized DNA nanomaterials as a promising platform for targeted therapy in NSCLC, offering avenues for clinical application.

Treatment Outcomes From Erlotinib and Gefitinib in Advanced Epidermal Growth Factor Receptor-Mutated Nonsquamous Non-Small Cell Lung Cancer in Aotearoa New Zealand From 2010 to 2020: Nationwide Whole-of-Patient-Population Retrospective Cohort Study

Background

Health care system-wide outcomes from routine treatment with erlotinib and gefitinib are incompletely understood.

Objective

The aim of the study is to describe the effectiveness of erlotinib and gefitinib during the first decade of their routine use for treating advanced epidermal growth factor receptor (EGFR) mutation-positive nonsquamous non-small cell lung cancer in the entire cohort of patients treated in Aotearoa New Zealand.

Methods

Patients were identified, and data collated from national pharmaceutical dispensing, cancer registration, and mortality registration electronic databases by deterministic data linkage using National Health Index numbers. Time-to-treatment discontinuation and overall survival were measured from the date of first dispensing of erlotinib or gefitinib and analyzed by Kaplan-Meier curves. Associations of treatment outcomes with baseline factors were evaluated using univariable and multivariable Cox regressions.

Results

Overall, 752 patients were included who started treatment with erlotinib (n=418) or gefitinib (n=334) before October 2020. Median time-to-treatment discontinuation was 11.6 (95% CI 10.8-12.4) months, and median overall survival was 20.1 (95% CI 18.1-21.6) months. Shorter time-to-treatment discontinuation was independently associated with high socioeconomic deprivation (hazard ratio [HR] 1.3, 95% CI 1.1-1.5 compared to the New Zealand Index of Deprivation 1-4 group), EGFR L858R mutations (HR 1.3, 95% CI 1.1-1.6 compared to exon 19 deletion), and distant disease at cancer diagnosis (HR 1.4, 95% CI 1.2-1.7 compared to localized or regional disease). The same factors were independently associated with shorter overall survival. Outcome estimates and predictors remained unchanged in sensitivity analyses.

Conclusions

Outcomes from routine treatment with erlotinib and gefitinib in New Zealand patients with advanced EGFR-mutant nonsquamous non-small cell lung cancer are comparable with those reported in randomized trials and other health care system-wide retrospective cohort studies. Socioeconomic status, EGFR mutation subtype, and disease extent at cancer diagnosis were independent predictors of treatment outcomes in that setting.

A Bayesian meta-analysis on MRI-based radiomics for predicting EGFR mutation in brain metastasis of lung cancer

OBJECTIVES

This study aimed to investigate the diagnostic test accuracy of MRI-based radiomics studies for predicting EGFR mutation in brain metastasis originating from lung cancer.

METHODS

This meta-analysis, conducted following PRISMA guidelines, involved a systematic search in PubMed, Embase, and Web of Science up to November 3, 2024. Eligibility criteria followed the PICO framework, assessing population, intervention, comparison, and outcome. The RQS and QUADAS-2 tools were employed for quality assessment. A Bayesian model determined summary estimates, and statistical analysis was conducted using R and STATA software.

RESULTS

Eleven studies consisting of nine training and ten validation cohorts were included in the meta-analysis. In the training cohorts, MRI-based radiomics showed robust predictive performance for EGFR mutations in brain metastases, with an AUC of 0.90 (95% CI: 0.82-0.93), sensitivity of 0.84 (95% CI: 0.80-0.88), specificity of 0.86 (95% CI: 0.80-0.91), and a diagnostic odds ratio (DOR) of 34.17 (95% CI: 19.16-57.49). Validation cohorts confirmed strong performance, with an AUC of 0.91 (95% CI: 0.69-0.95), sensitivity of 0.79 (95% CI: 0.73-0.84), specificity of 0.88 (95% CI: 0.83-0.93), and a DOR of 31.33 (95% CI: 15.50-58.3). Subgroup analyses revealed notable trends: the T1C + T2WI sequences and 3.0 T scanners showed potential superiority, machine learning-based radiomics and manual segmentation exhibited higher diagnostic accuracy, and PyRadiomics emerged as the preferred feature extraction software.

CONCLUSION

This meta-analysis suggests that MRI-based radiomics holds promise for the non-invasive prediction of EGFR mutations in brain metastases of lung cancer.

CT and MRI bimodal radiomics for predicting EGFR status in NSCLC patients with brain metastases: A multicenter study

BACKGROUND

Leveraging the radiomics information from non-small cell lung cancer (NSCLC) primary lesion and brain metastasis (BM) to develop and validate a bimodal radiomics nomogram that can accurately predict epidermal growth factor receptor (EGFR) status.

METHODS

A total of 309 NSCLC patients with BM from three independent centers were recruited. Among them, the patients of Center I were randomly allocated into the training and internal test cohorts in a 7:3 ratio. Meanwhile, the patients from Center Ⅱ and Center Ⅲ collectively constitute the external test cohort. All chest CT and brain MRI images of each patient were obtained for image registration and sequence combination within a single modality. After image preprocessing, 1037 radiomics features were extracted from each single sequence. Six machine learning algorithms were used to construct radiomics signatures for CT and MRI respectively. The best CT and MRI radiomics signatures were fitted to establish the bimodal radiomics nomogram for predicting the EGFR status.

RESULTS

The contrast-enhanced (CE) eXtreme gradient boosting (XG Boost) and T2-weighted imaging (T2WI) + T1-weighted contrast-enhanced imaging (T1CE) random forest models were chosen as the radiomics signature representing primary lesion and BM. Both models were found to be independent predictors of EGFR mutation. The bimodal radiomics nomogram, which incorporated CT radiomics signature and MRI radiomics signature, demonstrated a good calibration and discrimination in the internal test cohort [area under curve (AUC), 0.866; 95 % confidence intervals (CI), 0.778-0.950) and the external test cohort (AUC, 0.818; 95 % CI, 0.691-0.938).

CONCLUSIONS

Our CT and MRI bimodal radiomics nomogram could timely and accurately evaluate the likelihood of EGFR mutation in patients with limited access to necessary materials, thus making up for the shortcoming of plasma sequencing and promoting the advancement of precision medicine.

Long term efficacy of first-line afatinib and the clinical utility of ctDNA monitoring in patients with suspected or confirmed EGFR mutant non-small cell lung cancer who were unsuitable for chemotherapy

BACKGROUND

Here we present long-term outcomes of first line afatinib in comorbid patients with suspected or confirmed EGFR mutant NSCLC otherwise considered unsuitable for chemotherapy, and the clinical utility of serial ctDNA monitoring.

METHODS

TIMELY (NCT01415011) was a multicentre, single arm, phase II trial conducted in the UK. Patients aged ≥18 were treated with daily oral afatinib (40 mg) until disease progression or unacceptable toxicity. Blood samples for ctDNA analysis were obtained at baseline and 12-weekly until treatment discontinuation. The primary endpoint was PFS.

RESULTS

Thirty-nine patients were enrolled between March 2013 and August 2015. Median follow-up was 98 months (range 69-101). Median PFS was 7.9 months (95% CI 4.6-10.5). Seven patients (18%) continued afatinib beyond 18 months, 3 beyond 36 months and 2 were still on treatment at last follow-up 101 months post-treatment initiation. Analysis of baseline ctDNA samples identified 8 EGFR mutant cases that were not identified by tissue genotyping and ctDNA clearance was associated with improved PFS and OS.

CONCLUSION

Afatinib is a viable treatment option for tissue or ctDNA-detected EGFR mutant NSCLC comorbid patients, with a proportion achieving long-term clinical benefit. Plasma ctDNA testing improved EGFR mutant identification and its clearance predicted improved PFS and OS.

Novel Spatial Approaches to Dissect the Lung Cancer Immune Microenvironment

Lung cancer is a deadly disease with the highest rates of mortality. Over recent decades, a better understanding of the biological mechanisms implicated in its pathogenesis has led to the development of targeted therapies and immunotherapy, resulting in improvements in patient outcomes. To better understand lung cancer tumor biology and advance towards precision oncology, a comprehensive tumor profile is necessary. In recent years, novel in situ spatial multiomics approaches have emerged offering a more detailed view of the spatial location of tumor and tumor microenvironment cells, identifying their unique composition and functional status. In this sense, novel multiomics platforms have been developed to evaluate tumor heterogeneity, gene expression, metabolic reprogramming, signaling pathway activation, cell-cell interactions, and immune cell programs. In lung cancer research, several studies have used these spatial technologies to locate cells and associated them with histological features that are relevant to the pathogenesis of lung adenocarcinoma. These advancements may unveil further molecular and immune mechanisms in tumor biology that will lead to the discovery of biomarkers for treatment prediction and prognosis. In this review, we provide an overview of more widely used and emerging pathology-based approaches for spatial immune profiling in lung cancer and how they enhance our understanding of tumor biology and immune response.

Clinicopathological Features, Epidermal Growth Factor Receptor (EGFR) Mutations and Anaplastic Lymphoma Kinase (ALK) Rearrangement-Based Survival of Patients With Advanced Non-small Cell Lung Cancer in a Tertiary Care Setting

Background Lung cancer is the most frequent cause of cancer-related deaths and the most common type of cancer globally. It is generally classified into two main histologic subtypes: non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). NSCLC is the most prevalent type and is enriched with genetic and molecular diversity. This study evaluated the clinical, molecular, and demographic characteristics of patients with NSCLC, with a focus on variables involving disease stage, survival rates, and mutations in the epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) genes. Methods This retrospective study included 51 adult patients aged 30 years and older. Only patients who received treatment and subsequent follow-up at our institution were included in this study. Results There were 51 patients, aged 30-84 years (mean = 59.6 ± 10.9). Out of 51 patients, 32 (64.7%) were men; 19 (37.2.5%) were either current or former smokers; 34 patients (66.7%) had an Eastern Cooperative Oncology Group (ECOG) performance status of either 0 or 1; 47 (92.2) had an adenocarcinoma; 15 (29.4%) had a bilateral lung disease; 43 (84.3%) had stage IV disease; 10 (19.6%) had a positive EGFR status; eight (15.7) had a positive ALK status; and 38 patients (73.1%) had died by the cut-off date for this study. The median survival time for the EGFR-negative patients was 15 months, as opposed to 16 months for those who were EGFR-positive. Likewise, the median survival time for both the ALK-negative and positive patients was 17 months each. Conclusion The study contributes to our understanding of NSCLC and highlights the trends of our region while acknowledging the limitations associated with molecular studies and smaller sample sizes. These findings are not aligned with global trends in NSCLC due to the above-mentioned reasons. Future prospective trials are needed to aim for larger cohorts and consider additional variables to address the complexities of NSCLC.

Afatinib plus bevacizumab combination after osimertinib resistance in advanced EGFR-mutant non-small cell lung cancer: Phase II ABCD-study

INTRODUCTION

Many clinical studies showed a synergy of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) and vascular endothelial growth factor inhibitors. We hypothesized afatinib plus bevacizumab exerts clinical potency after developing various osimertinib resistant mechanisms.

METHODS

EGFR-mutant non-small cell lung cancer patients were enrolled after osimertinib resistance. Afatinib at 30-40 mg/day and bevacizumab at 15 mg/kg tri-weekly were administered until progression. Plasma/histologic rebiopsied samples after osimertinib failure were analyzed to examine resistant mechanisms: gene alterations/copy-number gain using cancer personalized profiling by deep sequencing.

RESULTS

Between January 2018 and October 2020, 28 patients were enrolled. Response and disease control rates were 17.9 % and 78.6 %, respectively. Median duration of response was 9.0 (range, 4.2-22.3) months. Median progression-free and overall survivals were 2.7 and 9.3 months, respectively. Twenty-eight (100 %) plasma and/or 21 (75 %) histologic rebiopsies identified: 17 (61 %) TP53; 15 (54 %) T790M; 9 (32 %) uncommon EGFR; 9 (32 %) MET; 6 (21 %) C797S; 3 (11 %) BRAF; 2 (7 %) HER2; 2 (7 %) KRAS; and 2 (7 %) PI3K mutations. One (17 %) of 6 C797S patients showed complete response. Three (33 %) of 9 uncommon EGFR-mutated patients achieved radiographic response. Neither 15 T790M-positive nor 6 EGFR downstream signaling mutations: BRAF; KRAS; or PI3K-positive patients responded, but 5 (38 %) of 13 T790M-negative patients responded. Adverse events ≥ grade 3 and incidence ≥ 5 % were: hypertension (29 %); proteinuria (7 %); and diarrhea (7 %). There were neither treatment-related death nor interstitial lung disease.

CONCLUSIONS

Selected population could obtain clinical benefit from afatinib plus bevacizumab, based on rebiopsy results after osimertinib resistance.

Explainable 18F-FDG PET/CT radiomics model for predicting EGFR mutation status in lung adenocarcinoma: a two-center study

PURPOSE

To establish an explainable 18F-FDG PET/CT-derived prediction model to identify EGFR mutation status and subtypes (EGFR wild, EGFR-E19, and EGFR-E21) in lung adenocarcinoma (LUAD).

METHODS

Baseline 18F-FDG PET/CT images of 478 patients with LUAD from 2 hospitals were collected. Data from hospital A (n = 390) was randomly split into a training group (n = 312) and an internal test group (n = 78), with data from hospital B (n = 88) utilized for external test. Further, a total of 4,760 handcrafted radiomics features (HRFs) were extracted from PET/CT scans. Candidates for the prediction model were constructed by cross-combinations of 11 feature selection methods and 7 classifiers. The optimal model was determined by combining the results of cross-center data validation and model visualization (Yellowbrick). The predictive performance was assessed via receiver operating characteristic curve, confusion matrix and classification report. Four explainable artificial intelligence technologies were used for optimal model interpretation.

RESULTS

Sex and SUVmax were selected as clinical risk factors, which were then combined with 8 robust PET/CT HRFs to establish the models. The optimal performance was obtained by combining a light gradient boosting machine classifier with random forest feature selection method achieving an optimal performance with a macro-average AUC of 0.75 in the internal test group and 0.81 in the external test group.

CONCLUSION

The explainable EGFR mutation status prediction model have certain clinical practicability and good generalization performance, which may help in the timely selection of treatment options and prognosis prediction in patients with LUAD.

A Comprehensive Review of Epidermal Growth Factor Receptor Mutation Abundance in Non-Small Cell Lung Cancer Treated with Tyrosine Kinase Inhibitors

BACKGROUND

Lung cancer is a major contributor to cancer-related death worldwide. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancers. Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are currently viewed as the established first-line therapy for patients with advanced NSCLC with EGFR mutations.

SUMMARY

The potential predictive value of the quantitative abundance of epidermal growth factor receptor (EGFR) mutations in the treatment of NSCLC is widely recognized and regarded as a significant indicator. The definition of mutation abundance in the EGFR gene in most current studies is mainly calculated based on the ratio of mutation to wild-type gene copy number or based on the ratio of allele number; for example, variant allele frequency is the ratio of the number of mutant alleles to the total number of alleles at a particular locus. Results of the included primary studies are as follows. (1) Significant association between EGFR mutation abundance and progression-free survival (PFS): median PFS was significantly longer in the high abundance group (11.0 months, 95% CI: 9.7-12.3 months) than in the low abundance group (5.3 months, 95% CI: 3.6-7.0 months) in the study by Liu et al. High mutation abundance (HR: 0.77, 95% CI: 0.66-0.82, p = 0.037) was an independent prognostic determinant of PFS in the study by Wang et al. Among patients receiving EGFR-TKI as first-line therapy, the median PFS was significantly longer in the high mutation abundance group than in the low mutation abundance group (12.7 months vs. 8.7 months, p = 0.002). EGFR mutation abundance ≥30% was an independent risk factor for PFS (HR: 1.64, 95% CI: 1.17-2.31). (2) Significant association between EGFR mutation abundance and overall survival (OS): the median OS in the high abundance group in the study by Liu et al. was 20.9 months (95% CI: 18.3-23.5 months), while that in the low abundance group was 13.0 months (95% CI: 10.0 months) (95% CI: 10.3-15.7 months); longer OS was independently associated with high mutation abundance (HR: 0.62, 95% CI: 0.50-0.79, p = 0.027).

KEY MESSAGES

The objective of this article was to conduct a comprehensive examination and analysis of the association between the abundance of EGFR mutations in NSCLC and the effectiveness of treatment with TKIs while also considering the development of drug resistance.

Treatment sequences in EGFR mutant advanced NSCLC

Common EGFR gene mutations (exon 19 deletion and L858R in exon 21) are the most frequent cause of actionable genomic alterations in non-small cell lung cancer (NSCLC) patients. The introduction of EGFR tyrosine kinase inhibitors (TKIs) as 1st-line treatment of advanced stages of the disease has changed the natural history of the disease and extended survival rates, establishing third generation TKIs as a new standard of frontline treatment. Nonetheless, the prolongation of overall survival remains modest, as multiple escape pathways and tumor increasing heterogeneity inevitably develop over time. Several strategies are currently developed to improve these patients' outcome: prevent the emergence of resistance mechanisms by therapeutic combinations introduced from the first line, act on the residual disease at the time of maximum response to 1st line treatment, develop therapeutic strategies at the time of acquired resistance to TKIs, either dependent on the resistance mechanisms, or agnostic of the resistance pathways. Recent advancements in treatment combinations have shown promising results in prolonging progression-free survival, but often at the cost of more severe side effects in comparison with the current standard of care. These emerging new treatment options open up possibilities for diverse therapeutic sequences in the management of advanced NSCLC depending on common EGFR mutations. The impact on the disease natural history, the patients' survival and quality of life is not yet fully understood. In this review, we propose an overview of published and forthcoming advances, and a management algorithm considering the different first-line options, integrating the clinical and biological parameters that are critical to clinicians' decision-making process.

Value of multi-center 18F-FDG PET/CT radiomics in predicting EGFR mutation status in lung adenocarcinoma

BACKGROUND

Accurate, noninvasive, and reliable assessment of epidermal growth factor receptor (EGFR) mutation status and EGFR molecular subtypes is essential for treatment plan selection and individualized therapy in lung adenocarcinoma (LUAD). Radiomics models based on 18F-FDG PET/CT have great potential in identifying EGFR mutation status and EGFR subtypes in patients with LUAD. The validation of multi-center data, model visualization, and interpretation are significantly important for the management, application and trust of machine learning predictive models. However, few EGFR-related research involved model visualization and interpretation, and multi-center trial.

PURPOSE

To develop explainable optimal predictive models based on handcrafted radiomics features (HRFs) extracted from multi-center 18F-FDG PET/CT to predict EGFR mutation status and molecular subtypes in LUAD.

METHODS

Baseline 18F-FDG PET/CT images of 383 LUAD patients from three hospitals and one public data set were collected. Further, 1808 HRFs were extracted from the primary tumor regions using Pyradiomics. Predictive models were built based on cross-combination of seven feature selection methods and seven machine learning algorithms. Yellowbrick and explainable artificial intelligence technology were used for model visualization and interpretation. Receiver operating characteristic curve, classification report and confusion matrix were used for model performance evaluation. Clinical applicability of the optimal models was assessed by decision curve analysis.

RESULTS

STACK feature selection method combined with light gradient boosting machine (LGBM) reached optimal performance in identifying EGFR mutation status ([area under the curve] AUC = 0.81 in the internal test cohort; AUC = 0.62 in the external test cohort). Random forest feature selection method combined with LGBM reached optimal performance in predicting EGFR mutation molecular subtypes (AUC = 0.89 in the internal test cohort; AUC = 0.61 in the external test cohort).

CONCLUSIONS

Explainable machine learning models combined with radiomics features extracted from multi-center/scanner 18F-FDG PET/CT have certain potential to identify EGFR mutation status and subtypes in LUAD, which might be helpful to the treatment of LUAD.

Comparative effectiveness of lazertinib in patients with EGFR T790M-positive non-small-cell lung cancer using a real-world external control

Lazertinib is a recently developed third-generation epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors used for patients with advanced EGFR T790M-positive non-small-cell lung cancer. We evaluated the effectiveness of lazertinib compared with osimertinib using an external control. We obtained individual patient data for the lazertinib arm from the LASER201 trial and the osimertinib arm from registry data at the Samsung Medical Center. In total, 75 and 110 patients were included in the lazertinib and osimertinib groups, respectively. After propensity score matching, each group had 60 patients and all baseline characteristics were balanced. The median follow-up duration was 22.0 and 29.6 months in the lazertinib and osimertinib group, respectively. The objective response rate (ORR) were 76.7% and 86.7% for lazertinib and osimertinib, respectively (p = 0.08). The median progression-free survival (PFS) was 12.3 months (95% confidence interval [CI] 9.5-19.1) and 14.4 months (95% CI 11.8-18.1) for the lazertinib and osimertinib group, respectively (hazard ratio [HR] 0.97; 95% CI 0.64-1.45, p = 0.86). The median overall survival with lazertinib was not reached and that with osimertinib was 29.8 months (HR 0.44; 95% CI 0.25-0.77, p = 0.005). Our study suggests that lazertinib has an ORR and PFS comparable to those of osimertinib and has the potential for superior survival benefits.

Tumor Is Not the Only Target: Ensuring Equitable Person-Centered Supportive Care in the Era of Precision Medicine

Communication in oncology has always been challenging. The new era of precision oncology creates prognostic uncertainty. Still, person-centered care requires attention to people and their care needs. Living with cancer portends an experience that is life-altering, no matter what the outcome. Supporting patients and families through this unique experience requires careful attention, honed skills, an understanding of process and balance measures of innovation, and recognizing that supportive care is a foundational element of cancer medicine, rather than an either-or approach, an and-with approach that emphasizes the regular integration of palliative care (PC), geriatric oncology, and skilled communication.

Extracellular Vesicles in Lung Cancer: Implementation in Diagnosis and Therapeutic Perspectives

Lung cancer represents the leading cause of cancer-related mortality worldwide, with around 1.8 million deaths in 2020. For this reason, there is an enormous interest in finding early diagnostic tools and novel therapeutic approaches, one of which is extracellular vesicles (EVs). EVs are nanoscale membranous particles that can carry proteins, lipids, and nucleic acids (DNA and RNA), mediating various biological processes, especially in cell-cell communication. As such, they represent an interesting biomarker for diagnostic analysis that can be performed easily by liquid biopsy. Moreover, their growing dataset shows promising results as drug delivery cargo. The aim of our work is to summarize the recent advances in and possible implications of EVs for early diagnosis and innovative therapies for lung cancer.

Amivantamab: A Novel Advance in the Treatment of Non-small Cell Lung Cancer

Amivantamab is a fully human bispecific monoclonal antibody indicated for treating patients with specifically large cell lung cancer. Its dosage is based on the patient's initial body weight and is administered via intravenous infusion after dilution. Therefore, this drug is given as a strategy due to the great need for a molecule targeting epidermal growth factor receptor (EGFR) and the mesenchymal-epithelial transition factor (MET), as acquired resistance to tyrosine kinase inhibitors (TKIs) was observed in the treatment of large cell lung cancer. This article encompasses a review of the benefits of amivantamab for patients with non-small cell lung cancer (NSCLC). This drug is the first therapy directed against this specific mutation, and unlike others, it could bind to two genetic receptors, whereas antibodies, in general, are directed toward a single receptor.

Outcome differences by sex in oncology clinical trials

Identifying sex differences in outcomes and toxicity between males and females in oncology clinical trials is important and has also been mandated by National Institutes of Health policies. Here we analyze the Trialtrove database, finding that, strikingly, only 472/89,221 oncology clinical trials (0.5%) had curated post-treatment sex comparisons. Among 288 trials with comparisons of survival, outcome, or response, 16% report males having statistically significant better survival outcome or response, while 42% reported significantly better survival outcome or response for females. The strongest differences are in trials of EGFR inhibitors in lung cancer and rituximab in non-Hodgkin's lymphoma (both favoring females). Among 44 trials with side effect comparisons, more trials report significantly lesser side effects in males (N = 22) than in females (N = 13). Thus, while statistical comparisons between sexes in oncology trials are rarely reported, important differences in outcome and toxicity exist. These considerable outcome and toxicity differences highlight the need for reporting sex differences more thoroughly going forward.

Distinct Progression and Efficacy of First-Line Osimertinib Treatment According to Mutation Subtypes in Metastatic NSCLC Harboring EGFR Mutations

Introduction

Osimertinib (OSI), a third-generation EGFR tyrosine kinase inhibitor, is the standard treatment for patients with naive EGFR-mutant NSCLC. Nevertheless, information on how the mutation subtype affects disease progression after the failure of OSI treatment is scarce.

Methods

We retrospectively reviewed patients with EGFR-mutant NSCLC who received OSI as a first-line treatment between April 2015 and December 2021.

Results

This study included 229 patients. The objective response rate was 71%, with intracranial and extracranial response rates of 71% and 90%, respectively. The median progression-free survival was 23.3 mo (95% confidence interval [CI]: 19.6-26.7), and the median overall survival was 33.7 mo (95% CI: 31.3-58.6). Multivariate analysis revealed that the EGFR exon 21 L858R point mutation (L858R) (hazard ratio [HR] = 1.56, 95% CI: 1.04-2.34, p = 0.0328) and liver metastasis (HR = 2.63, 95% CI: 1.53-4.49, p = 0.0004) were significant predictors of progression-free survival in OSI treatment. The concomitant disease progression involving the central nervous system metastasis was significantly more common in patients with L858R (p = 0.048), whereas concomitant disease progression involving primary lesions was significantly more common in patients with exon 19 deletion mutation (p = 0.01). In addition, the probability of disease progression over time was higher for L858R compared with that for exon 19 deletion mutation, in patients with central nervous system metastasis (log-rank test, p = 0.027).

Conclusions

The mutation subtype had an impact not only on the clinical outcome of the first-line OSI treatment but also on progression patterns after OSI treatment in patients with NSCLC harboring EGFR mutations.

Real-world survival outcomes of immunotherapy for advanced non-small cell lung cancer: A single-center retrospective review

BACKGROUND

Non-small cell lung cancer (NSCLC) is often diagnosed at an advanced stage. Clinical trials have demonstrated that first-line immunotherapy alone or in combination with chemotherapy improves overall survival. However, reports of survival outcomes in real-world settings are limited. We assessed survival in advanced NSCLC patients treated with immunotherapy alone or in combination with chemotherapy in first- or second-line at the Windsor Regional Cancer Program (WRCP) and compared it to existing literature.

METHODS

We included patients diagnosed with stage IV NSCLC from January 2015 to December 2020 and treated with first-line chemoimmunotherapy (ChemoImmuno1), chemotherapy followed by immunotherapy (Chemo1), or immunotherapy followed by chemotherapy (Immno1) in our survival analysis. Patients with oncogene-addicted mutations were excluded.

RESULTS

There were 160 patients of which 41.5% were female. Mean age was 68 years. Median overall survival from time of diagnosis was 474 days (95% CI: 249, 949) with an estimated 5-year survival of 11.1% (95% CI: 4.5, 21.3). Median OS in ChemoImmuno1 was 9.6 months, in Chemo1 was 19.2 months from time of diagnosis and 10.5 months from time of initiation of immunotherapy, and in Immuno1 was 18.4 months, respectively. Estimated survival at three years from time of diagnosis for ChemoImmuno1 was 17.6% and for Immuno1 was 17.9%. For Chemo1, from diagnosis it was 20.1% and from second-line therapy it was 15.4%. Survival outcomes were comparable to clinical trials and other studies.

CONCLUSION

Real-world survival outcomes of immunotherapy for advanced NSCLC are comparable to the existing literature in this single center study.

Clinical Validation of the Unparalleled Sensitivity of the Novel Allele-Discriminating Priming System Technology-Based EGFR Mutation Assay in Patients with Operable Non-Small Cell Lung Cancer

PURPOSE

Recently, we developed allele-discriminating priming system (ADPS) technology. This method increases the sensitivity of conventional quantitative polymerase chain reaction up to 100 folds, with limit of detection, 0.01%, with reinforced specificity. This prospective study aimed to develop and validate the accuracy of ADPS epidermal growth factor receptor (EGFR) Mutation Test Kit using clinical specimens.

MATERIALS AND METHODS

In total 189 formalin-fixed paraffin-embedded tumor tissues resected from patients with non-small cell lung cancer were used to perform a comparative evaluation of the ADPS EGFR Mutation Test Kit versus the cobas EGFR Mutation Test v2, which is the current gold standard. When the two methods had inconsistent results, next-generation sequencing-based CancerSCAN was utilized as a referee.

RESULTS

The overall agreement of the two methods was 97.4% (93.9%-99.1%); the positive percent agreement, 95.0% (88.7%-98.4%); and the negative percent agreement, 100.0% (95.9%-100.0%). EGFR mutations were detected at a frequency of 50.3% using the ADPS EGFR Mutation Test Kit and 52.9% using the cobas EGFR Mutation Test v2. There were 10 discrepant mutation calls between the two methods. CancerSCAN reproduced eight ADPS results. In two cases, mutant allele fraction was ultra-low at 0.02% and 0.06%, which are significantly below the limit of detection of the cobas assay and CancerSCAN. Based on the EGFR genotyping by ADPS, the treatment options could be switched in five patients.

CONCLUSION

The highly sensitive and specific ADPS EGFR Mutation Test Kit would be useful in detecting the patients who have lung cancer with EGFR mutation, and can benefit from the EGFR targeted therapy.

Real-world data on efficacy and safety of osimertinib in non-small cell lung cancer patients with EGFR T790M mutation detected by first and repeat rebiopsy

BACKGROUND

Osimertinib could effectively target epidermal growth factor receptor (EGFR) T790M resistance mutations in non-small cell lung cancer (NSCLC), indicating that rebiopsy may be particularly important. However, the clinical benefit of repeat rebiopsy in T790M-negative patients with NSCLC detected by the first rebiopsy is still unclear, and data on the efficacy and safety of osimertinib in patients with NSCLC who are T790M-positive patients on a repeat rebiopsy remain rare.

METHODS

We retrospectively collected the clinical data of advanced NSCLC patients with common EGFR mutation who were treated with 1/2-generation (1/2G) EGFR-tyrosine kinase inhibitors (TKIs) in first-line therapy in our center from January 2018 to December 2020. The detection rate of T790M by first and repeat rebiopsy was recorded, and we also analyzed the efficacy and safety of osimertinib for T790M-positive patients.

RESULTS

Among 190 common EGFR-mutant patients who received 1/2G EGFR-TKIs with advanced NSCLC in the first-line treatment, 141 patients developed progressive disease. In total, 110 of 141 accepted the first rebiopsy, with a T790M prevalence of 50.9% (56/110). In total, 43 T790M-positive patients who received osimertinib were included in first rebiopsy group. Of 54 T790M-negative patients detected by the first rebiopsy, 28 underwent repeated rebiopsy in subsequent clinical treatment, and 10 (35.7%) T790M-positive cases were confirmed. In total, eight T790M-positive patients treated with osimertinib were included in repeat rebiopsy group. Overall, 66 (60%) of 110 patients acquired a T790M mutation. In patients with the T790M mutation discovered by the first and repeat rebiopsy, osimertinib resulted in median progression-free survival of 7 (95% confidence interval [CI]: 5.3-8.7) and 6 (95% CI: 4.7-7.3) months, respectively (p = .656). The median overall survival since osimertinib initiation for T790M-positive patients at first rebiopsy was 20 (95% CI: 15.1-24.9) months and 19 (95% CI: 16.9-21.1) months, for those at repeated rebiopsy (p = .888). Adverse events of grade 3 or higher were similar in the two groups (25.6% vs. 12.5%, p = .616). There was no treatment-related death in the two groups.

CONCLUSIONS

Repeat rebiopsy can increase the T790M mutation positivity rate. Osimertinib showed similar efficacy and safety in T790M-positive patients whether detected by the first or repeat rebiopsy.

Dual network analysis of transcriptome data for discovery of new therapeutic targets in non-small cell lung cancer

The drug therapy for non-small cell lung cancer (NSCLC) have always been issues of poisonous side effect, acquired drug resistance and narrow applicable population. In this study, we built a novel network analysis method (difference- correlation- enrichment- causality- node), which was based on the difference analysis, Spearman correlation network analysis, biological function analysis and Bayesian causality network analysis to discover new therapeutic target of NSCLC in the sequencing data of BEAS-2B and 7 NSCLC cell lines. Our results showed that, as a proteasome subunit coding gene in the central of cell cycle network, PSMD2 was associated with prognosis and was an independent prognostic factor for NSCLC patients. Knockout of PSMD2 inhibited the proliferation of NSCLC cells by inducing cell cycle arrest, and exhibited marked increase of cell cycle blocking protein p21, p27 and decrease of cell cycle driven protein CDK4, CDK6, CCND1 and CCNE1. IPA and molecular docking suggested bortezomib has stronger affinity to PSMD2 compared with reported targets PSMB1 and PSMB5. In vitro and In vivo experiments demonstrated the inhibitory effect of bortezomib in NSCLC with different driven mutations or with tyrosine kinase inhibitors resistance. Taken together, bortezomib could target PSMD2, PSMB1 and PSMB5 to inhibit the proteasome degradation of cell cycle check points, to block cell proliferation of NSCLC, which was potential optional drug for NSCLC patients.

A retrospective real-world study: the efficacy of immune-related combination therapies in advanced non-small cell lung cancer after resistance to EGFR-TKIs

BACKGROUND

Whether patients with advanced non-small cell lung cancer (NSCLC) should choose an immune-combination therapy regimen after EGFR-tyrosine kinase inhibitors (EGFR-TKIs) resistance is currently unclear.

METHODS

We evaluated 118 NSCLC patients treated by immune checkpoint inhibitors (ICIs) + chemotherapy (I + C), ICIs + chemotherapy + antiangiogenic therapy (I + C + A), chemotherapy + antiangiogenic therapy (C + A) after inefficacy of EGFR-TKIs. We assessed the objective remission rate (ORR), disease control rate (DCR), and progression-free survival (PFS) of these treatments.

RESULTS

The ORR was 26.1% vs 38.2% vs 16.3% in the three groups (P = 0.093). The divergence in DCR was also statistically significant (65.2% vs 85.3% vs 74.4%, P = 0.209). The median PFS was no statistically significant difference in PFS (3.09 vs 6.31 vs 5.91 months, P = 0.809), but the Kaplan-Meier survival curve of 12-month-PFS indicated an apparent survival advantage in the I + C + A group (P = 0.001). In addition, the I + C/I + C + A group showed higher median PFS than the C + A group in patients with brain metastases (median PFS, 6.44 vs 4.21 months, P = 0.022). The divergence in ORR of patients in the brain group was also statistically significant (P = 0.045). The I + C + A group showed superior efficacy in patients with liver metastases (median PFS, 0.95 vs 6.44 vs 3.48 months, P < 0.0001). The Cox proportional hazard modeling analysis suggested that the age, brain metastases, and liver metastases were all connected with the prognosis.

CONCLUSIONS

This study suggests that advanced NSCLC patients after resistance to EGFR-TKIs may achieve better outcomes from triple therapy. Patients with brain metastases favor ICIs-related combination therapies and patients with liver metastases prefer I + C + A therapy.

YAP mediates resistance to EGF-induced apoptosis in EGFR-mutated non-small cell lung cancer cells

Mechanisms underlying the growth and survival of non-small cell lung cancer (NSCLC) cells positive for activating mutations of the epidermal growth factor receptor gene (EGFR) have remained unclear. We here examined the functional relation between such mutant forms of EGFR and Yes-associated protein (YAP), a transcriptional coactivator of the Hippo signaling pathway that regulates cell proliferation and survival. Under the condition of serum deprivation, epidermal growth factor (EGF) induced activation of YAP in NSCLC cell lines positive for mutated EGFR but not in those wild type (WT) for EGFR. Similar EGF-induced activation of YAP was apparent in A549 lung cancer cells forcibly expressing mutant EGFR but not in those overexpressing the WT receptor. Furthermore, EGF induced apoptotic cell death in serum-deprived A549 cells overexpressing the WT form of EGFR but not in those expressing mutant EGFR, and knockdown of YAP rendered the latter cells sensitive to this effect of EGF. Our results thus suggest that activation of YAP mediates resistance of EGFR-mutated NSCLC cells to EGF-induced apoptosis and thereby contributes specifically to the survival of such cells.

A retrospective study on the efficacy and safety of Endostar with chemotherapy in EGFR-TKI-resistant NSCLC

BACKGROUND

Endostar is a strong angiogenesis inhibitor that is effective in treating non-small cell lung cancer (NSCLC), but the effect of Endostar in the treatment of patients with EGFR-TKI-resistant NSCLC remains unclear. We evaluated the clinical efficacy and safety of Endostar in EGFR-mutant NSCLC patients resistant to EGFR inhibition treatment.

METHODS

From January 1, 2016 to June 30, 2018, 68 patients were selected from the 4 institutions for the study. Patients with NSCLC received Endostar plus chemotherapy every 21-day cycle. Chemotherapy types included platinum-containing dual drugs and platinum-free single drugs. Endostar was administered by intermittent intravenous infusion or continuous microinfusion pump infusion. The overall response rate (ORR), disease control rate (DCR) and adverse events were analyzed. Survival of patients was also evaluated.

RESULTS

For all patients, the median progression-free survival (PFS) was 2.8 months, and the median overall survival (OS) was 14.2 months. PFS and OS in the Endostar pump continuous group were better than those in the Endostar intravenous infusion group. The disease control rate (DCR) was 79.4%. A total of 28 (41.2%) patients experienced varying grades of adverse events during treatment. No treatment-associated deaths were observed. The grade 3 treatment-emergent adverse events (TEAEs) were myelosuppression, weakness, and nausea/vomiting.

CONCLUSIONS

Endostar was effective and well tolerated in advanced NSCLC patients. Endostar treatment showed promising survival results in EGFR-mutant NSCLC patients.

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.

Effects of concurrent TP53 mutations on the efficacy and prognosis of targeted therapy for advanced EGFR mutant lung adenocarcinoma

BACKGROUND

How concurrent TP53 mutations affect targeted therapy of advanced Epidermal Growth Factor Receptor (EGFR) mutant lung adenocarcinoma remains controversial, particularly the deep classification of TP53 mutations.

METHODS

This study retrospectively analyzed the clinical data of advanced EGFR mutant lung adenocarcinoma patients treated with EGFR-tyrosine kinase inhibitors (TKIs) in the First Affiliated Hospital of Soochow University. The survival rates were compared using Log-rank tests. Potential prognostic factors were identified using multivariate Cox hazard regression models.

RESULTS

Total 156 advanced lung adenocarcinoma patients treated with EGFR-TKIs were included in this study. Multivariate analysis showed that male [hazard rate (HR): 1.537, 95% confidence interval (CI): 1.055-2.240, P = 0.025], brain metastasis (HR: 1.707, 95%CI: 1.086-2.682, P = 0.020) and concurrent TP53 mutations (HR: 1.569, 95%CI: 1.051-2.341, P = 0.028) were independent negative predictors of progression-free survival (PFS). EGFR L858R mutations (HR: 2.475, 95%CI: 1.443-4.248, p = 0.001), smoking history (HR: 2.530, 95%CI: 1.352-4.733, P = 0.004) and concurrent TP53 mutations (HR: 2.326, 95%CI: 1.283-4.218, P = 0.005) were associated with worse survival. Further analysis revealed that mutations in TP53 exons 4, 5 and 8 (P<0.05), missense mutations (P = 0.006) and nondisruptive mutations (P<0.001) were associated with shorter PFS, whereas mutations in TP53 exons 5 and 7 (P<0.05), missense mutations and non-missense mutations (P = 0.006; P = 0.007), disruptive mutations and nondisruptive mutations (P = 0.013; P = 0.013) were all associated with poorer survival times. In addition, the PFS and overall survival (OS) of nondisruptive mutations in exon 7 were worse than those in other exons (P = 0.041; P<0.001).

CONCLUSIONS

Concurrent TP53 mutations conferred worse EGFR-TKIs efficacy and prognosis in advanced EGFR mutant lung adenocarcinoma and the effects of different TP53 mutation types were heterogeneous.

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.

Empirical methods for the validation of time-to-event mathematical models taking into account uncertainty and variability: application to EGFR + lung adenocarcinoma

BACKGROUND

Over the past several decades, metrics have been defined to assess the quality of various types of models and to compare their performance depending on their capacity to explain the variance found in real-life data. However, available validation methods are mostly designed for statistical regressions rather than for mechanistic models. To our knowledge, in the latter case, there are no consensus standards, for instance for the validation of predictions against real-world data given the variability and uncertainty of the data. In this work, we focus on the prediction of time-to-event curves using as an application example a mechanistic model of non-small cell lung cancer. We designed four empirical methods to assess both model performance and reliability of predictions: two methods based on bootstrapped versions of parametric statistical tests: log-rank and combined weighted log-ranks (MaxCombo); and two methods based on bootstrapped prediction intervals, referred to here as raw coverage and the juncture metric. We also introduced the notion of observation time uncertainty to take into consideration the real life delay between the moment when an event happens, and the moment when it is observed and reported.

RESULTS

We highlight the advantages and disadvantages of these methods according to their application context. We have shown that the context of use of the model has an impact on the model validation process. Thanks to the use of several validation metrics we have highlighted the limit of the model to predict the evolution of the disease in the whole population of mutations at the same time, and that it was more efficient with specific predictions in the target mutation populations. The choice and use of a single metric could have led to an erroneous validation of the model and its context of use.

CONCLUSIONS

With this work, we stress the importance of making judicious choices for a metric, and how using a combination of metrics could be more relevant, with the objective of validating a given model and its predictions within a specific context of use. We also show how the reliability of the results depends both on the metric and on the statistical comparisons, and that the conditions of application and the type of available information need to be taken into account to choose the best validation strategy.

Targeted Therapy for Cancers: From Ongoing Clinical Trials to FDA-Approved Drugs

The development of targeted therapies has revolutionized cancer treatment, offering improved efficacy with reduced side effects compared with traditional chemotherapy. This review highlights the current landscape of targeted therapy in lung cancer, colorectal cancer, and prostate cancer, focusing on key molecular targets. Moreover, it aligns with US Food and Drug Administration (FDA)-approved drugs and drug candidates. In lung cancer, mutations in the epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) gene rearrangements have emerged as significant targets. FDA-approved drugs like osimertinib and crizotinib specifically inhibit these aberrant pathways, providing remarkable benefits in patients with EGFR-mutated or ALK-positive lung cancer. Colorectal cancer treatment has been shaped by targeting the vascular endothelial growth factor (VEGF) and EGFR. Bevacizumab and cetuximab are prominent FDA-approved agents that hinder VEGF and EGFR signaling, significantly enhancing outcomes in metastatic colorectal cancer patients. In prostate cancer, androgen receptor (AR) targeting is pivotal. Drugs like enzalutamide, apalutamide, and darolutamide effectively inhibit AR signaling, demonstrating efficacy in castration-resistant prostate cancer. This review further highlights promising targets like mesenchymal-epithelial transition (MET), ROS1, BRAF, and poly(ADP-ribose) polymeras (PARP) in specific cancer subsets, along with ongoing clinical trials that continue to shape the future of targeted therapy.

Access to innovation through clinical trials and the national early access program for patients with lung cancer in France: focus on atezolizumab and durvalumab

PURPOSE

Tumor genomic profiling and PD-L1 testing mean lung cancer management can be tackled through a personalized approach. Targeted therapies and immunotherapy are necessary to improve survival and preserve the patients' quality of life. Early access to innovation before marketing authorization (MA) is possible in France through clinical trials and an early-access program called a Temporary Authorization for Use (ATU), which is a unique regulatory system in Europe. This study aims to assess the impact of early access to innovation through clinical trials and ATUs in thoracic oncology.

METHODS

Data from clinical trials between 2018 and 2021 and ATUs between 2005 and 2019 were collected internally and assessed for drugs in thoracic oncology, with specific focus on 2 ATUs, respectively, atezolizumab and durvalumab.

RESULTS

From 2018 to 2021, the National Agency for the Safety of Medicines and Health Products authorized 145 clinical trials in lung cancer. Between 2005 and 2019, 19 drugs obtained an EU MA or an MA extension for a therapeutic indication in lung cancer. During this period, 11 of these drugs were granted an ATU, corresponding to 6851 patients treated. Of this total number of patients, data were collected for 33.1% and 71.2%, who received durvalumab and atezolizumab, respectively. Real-life efficacy data were consistent with the clinical trial data.

CONCLUSION

Over the past 15 years, clinical trials and the French early access program have allowed considerable early access to therapeutic innovation in real life for patients, especially in thoracic oncology.

Bevacizumab plus erlotinib versus erlotinib alone for advanced EGFR-mutant non-small cell lung cancer: a meta-analysis of randomized clinical trials

OBJECTIVE

Previous studies showed that the combination of bevacizumab and erlotinib (combination therapy) significantly prolonged progression-free survival (PFS) but no overall survival (OS) compared to erlotinib alone (monotherapy) for advanced EGFR-mutant non-small cell lung cancer (NSCLC). Two phase III randomized controlled trials (RCTs) had reported the OS results in 2021. This meta-analysis aimed to include the results of the two RCTs to make a decision.

MATERIALS AND METHODS

We systematically searched relevant databases for RCTs on the use of bevacizumab plus erlotinib in advanced EGFR-mutant NSCLC. The main outcomes of interest were PFS, OS, and the reported hazard ratio (HR). Fixed-effect model was used to estimate pooled HR.

RESULTS

Total 5 RCTs with 935 patients were eligible for this meta-analysis. All studies reached their primary study endpoints including PFS and OS. Compared to monotherapy, combination therapy remarkably prolonged PFS (HR = 0.60, 95% confidence interval CI 0.51-0.70; p < 0.00001); however, OS was similar between the two groups (HR = 0.90, 95% CI 0.76-1.08; p = 0.26). Subgroup analysis demonstrated that in deletion within exon 19 (19del) mutation subgroup, the combination therapy could only prolong PFS (HR = 0.60, 95% CI 0.47-0.76; p < 0.0001) but not OS (HR = 1.00, 95% CI 0.73-1.37; p = 1.00), and also in leucine-to-arginine substitution in exon 21 (L858R) mutation subgroup (HR = 0.59, p < 0.0001 and HR = 0.80, p = 0.18, respectively). For patients with brain metastasis at baseline, the combination therapy achieved a significant better PFS than the monotherapy (HR = 0.60, 95% CI 0.39-0.90; p = 0.01), and a better OS with the difference marginally significant (HR = 0.69, 95% CI 0.46-1.02; p = 0.06).

CONCLUSIONS

Combination of bevacizumab and erlotinib can prolong progression-free survival but not overall survival compared to erlotinib alone in advanced EGFR-mutant non-small cell lung cancer patients. The combination therapy not only can prolong progression-free survival but also has a tendency to prolong overall survival for patients with brain metastasis at baseline.

L858R emerges as a potential biomarker predicting response of lung cancer models to anti-EGFR antibodies: Comparison of osimertinib vs. cetuximab

EGFR-specific tyrosine kinase inhibitors (TKIs), especially osimertinib, have changed lung cancer therapy, but secondary mutations confer drug resistance. Because other EGFR mutations promote dimerization-independent active conformations but L858R strictly depends on receptor dimerization, we herein evaluate the therapeutic potential of dimerization-inhibitory monoclonal antibodies (mAbs), including cetuximab. This mAb reduces viability of cells expressing L858R-EGFR and blocks the FOXM1-aurora survival pathway, but other mutants show no responses. Unlike TKI-treated patient-derived xenografts, which relapse post osimertinib treatment, cetuximab completely prevents relapses of L858R+ tumors. We report that osimertinib's inferiority associates with induction of mutagenic reactive oxygen species, whereas cetuximab's superiority is due to downregulation of adaptive survival pathways (e.g., HER2) and avoidance of mutation-prone mechanisms that engage AXL, RAD18, and the proliferating cell nuclear antigen. These results identify L858R as a predictive biomarker, which may pave the way for relapse-free mAb monotherapy relevant to a large fraction of patients with lung cancer.

Efficacy of Osimertinib in Patients with Lung Cancer Positive for Uncommon EGFR Exon 19 Deletion Mutations

PURPOSE

The uncommon EGFR exon 19 deletion (ex19del), L747_A750>P, demonstrates reduced sensitivity to osimertinib compared with the common ex19del, E746_A750del in preclinical models. The clinical efficacy of osimertinib in patients with non-small cell lung cancer harboring L747_A750>P and other uncommon ex19dels is not known.

EXPERIMENTAL DESIGN

The AACR GENIE database was interrogated to characterize the frequency of individual ex19dels relative to other variants, and a multicenter retrospective cohort was used to compare clinical outcomes for patients with tumors harboring E746_A750del, L747_A750>P, and other uncommon ex19dels who received osimertinib in the first line (1L) or in second or later lines of therapy and were T790M+ (≥2L).

RESULTS

ex19dels comprised 45% of EGFR mutations, with 72 distinct variants ranging in frequency from 28.1% (E746_A750del) to 0.03%, with L747_A750>P representing 1.8% of the EGFR mutant cohort. In our multi-institutional cohort (N = 200), E746_A750del was associated with significantly prolonged progression-free survival (PFS) with 1L osimertinib versus L747_A750>P [median 21.3 months (95% confidence interval, 17.0-31.7) vs. 11.7 months (10.8-29.4); adjusted HR 0.52 (0.28-0.98); P = 0.043]. Osimertinib efficacy in patients with other uncommon ex19dels varied on the basis of the specific mutation present.

CONCLUSIONS

The ex19del L747_A750>P is associated with inferior PFS compared with the common E746_A750del mutation in patients treated with 1L osimertinib. Understanding differences in osimertinib efficacy among EGFR ex19del subtypes could alter management of these patients in the future.

Understanding and targeting resistance mechanisms in cancer

Resistance to cancer therapies has been a commonly observed phenomenon in clinical practice, which is one of the major causes of treatment failure and poor patient survival. The reduced responsiveness of cancer cells is a multifaceted phenomenon that can arise from genetic, epigenetic, and microenvironmental factors. Various mechanisms have been discovered and extensively studied, including drug inactivation, reduced intracellular drug accumulation by reduced uptake or increased efflux, drug target alteration, activation of compensatory pathways for cell survival, regulation of DNA repair and cell death, tumor plasticity, and the regulation from tumor microenvironments (TMEs). To overcome cancer resistance, a variety of strategies have been proposed, which are designed to enhance the effectiveness of cancer treatment or reduce drug resistance. These include identifying biomarkers that can predict drug response and resistance, identifying new targets, developing new targeted drugs, combination therapies targeting multiple signaling pathways, and modulating the TME. The present article focuses on the different mechanisms of drug resistance in cancer and the corresponding tackling approaches with recent updates. Perspectives on polytherapy targeting multiple resistance mechanisms, novel nanoparticle delivery systems, and advanced drug design tools for overcoming resistance are also reviewed.

Comprehensive profiling of EGFR mutation subtypes reveals genomic-clinical associations in non-small-cell lung cancer patients on first-generation EGFR inhibitors

Common sensitizing mutations in epidermal growth factor receptor (cEGFR), including exon 19 deletions (19-Del) and exon 21 L858R substitution, are associated with high sensitivity to EGFR-TKIs in NSCLC patients. The treatment for NSCLC patients with uncommon EGFR (uEGFR) mutations remains a subject of debate due to heterogeneity in treatment responses. In this manuscript, the targeted next-generation sequencing (NGS) data of a large cohort of EGFR-mutated NSCLC patients was assessed to elucidate genomic profiles of tumors carrying cEGFR or uEGFR mutations. The results showed that NSCLC patients with uEGFR mutations were more likely to harbor co-occurring genetic alterations in the Hippo pathway and a higher TMB compared with cEGFR-positive patients. Smoking-related mutations were found to significantly enriched in uEGFR-positive patients. Subgroup analyses were performed to identify potential prognostic biomarkers in patients harboring various EGFR subtype mutations. L858R-positive patients with co-existing ARID2 mutations had shorter progression-free survival (PFS) than those who were L858R- or 19-Del-positive but ARID2-negative (median: 2.3 vs. 12.0 vs. 8.0 months, P = 0.038). Furthermore, mutational profiles, such as top frequently mutated genes and mutational signatures of patients with various EGFR subtype mutations were significantly different. Our study analyzed the mutational landscape of NSCLC patients harboring cEGFR and uEGFR mutations, revealing specific genomic characteristics associated with uEGFR mutations that might explain the poor prognosis of first-generation EGFR-TKIs.

New prognostic system specific for epidermal growth factor receptor-mutated lung cancer brain metastasis

INTRODUCTION

Brain metastases (BM) from lung cancer are heterogeneous, and accurate prognosis is required for effective treatment strategies. This study aimed to identify prognostic factors and develop a prognostic system exclusively for epidermal growth factor receptor (EGFR)-mutated lung cancer BM.

METHODS

In total, 173 patients with EGFR-mutated lung cancer from two hospitals who developed BM and received tyrosine kinase inhibitor (TKI) and brain radiation therapy (RT) were included. Univariate and multivariate analyses were performed to identify significant EGFR-mutated BM prognostic factors to construct a new EGFR recursive partitioning analysis (RPA) prognostic index. The predictive discrimination of five prognostic scoring systems including RPA, diagnosis-specific prognostic factors indexes (DS-GPA), basic score for brain metastases (BS-BM), lung cancer using molecular markers (lung-mol GPA) and EGFR-RPA were analyzed using log-rank test, concordance index (C-index), and receiver operating characteristic curve (ROC). The potential predictive factors in the multivariable analysis to construct a prognostic index included Karnofsky performance status, BM at initial lung cancer diagnosis, BM progression after TKI, EGFR mutation type, uncontrolled primary tumors, and number of BM.

RESULTS AND DISCUSSION

In the log-rank test, indices of RPA, DS-GPA, lung-mol GPA, BS-BM, and EGFR-RPA were all significant predictors of overall survival (OS) (p ≤ 0.05). The C-indices of each prognostic score were 0.603, 0.569, 0.613, 0.595, and 0.671, respectively; The area under the curve (AUC) values predicting 1-year OS were 0.565 (p=0.215), 0.572 (p=0.174), 0.641 (p=0.007), 0.585 (p=0.106), and 0.781 (p=0.000), respectively. Furthermore, EGFR-RPA performed better in terms of calibration than other prognostic indices.BM progression after TKI and EGFR mutation type were specific prognostic factors for EGFR-mutated lung cancer BM. EGFR-RPA was more precise than other models, and useful for personal treatment.

The effect of EGFR-TKIs on survival in advanced non-small-cell lung cancer with EGFR mutations: A real-world study

BACKGROUND

Few large-scale studies have been published using real-world data related to overall survival (OS) improvements in advanced epidermal growth factor receptor (EGFR)-mutant lung cancer patients; therefore, little is known regarding the characteristics of patients who could benefit most from EGFR-tyrosine kinase inhibitors (TKIs). Our study aimed to assess whether EGFR-TKI treatment confers survival benefits among advanced non-small-cell lung cancer (NSCLC) patients harboring EGFR mutations in the Chinese population.

PATIENTS AND METHODS

A total of 6451 advanced NSCLC patients were diagnosed between January 1, 2013 and June 30, 2019 in Zhejiang Cancer Hospital. Ultimately, 2864 patients with a confirmed EGFR mutation genotype were enrolled in our study. OS was measured from the time of diagnosis of advanced NSCLC until death or last follow-up.

RESULTS

Median follow-up for OS of advanced EGFR-mutant NSCLC patients was 28.33 months in our study. Patients who received EGFR-TKIs demonstrated better survival compared to those without EGFR-TKI treatment (mOS: 29.77 vs. 22.97 months, p < 0.0001). A total of 451 patients switched to third-generation EGFR-TKI treatment and obtained a significantly better survival than those who adopted first-line third-generation EGFR-TKIs or those who did not receive third-generation EGFR-TKIs after disease progression with first- or second-generation EGFR-TKI treatment (mOS: 38.0 vs. 32.5 vs. 28.3 months, p < 0.0001). As for EGFR genotypes, patients with exon 19 deletion showed better OS, followed by those with L858R mutation (32.4 vs. 24.83 months, p = 0.0013). NGS versus PCR testing showed no statistical differences with respect to survival outcomes (mOS: 27.5 vs. 27.47 months, p = 0.6745).

CONCLUSION

Advanced EGFR-mutant patients treated with EGFR-TKIs obtained absolute superior survival in the Chinese population.

Treatment of advanced non-small cell lung cancer with driver mutations: current applications and future directions

With the improved understanding of driver mutations in non-small cell lung cancer (NSCLC), expanding the targeted therapeutic options improved the survival and safety. However, responses to these agents are commonly temporary and incomplete. Moreover, even patients with the same oncogenic driver gene can respond diversely to the same agent. Furthermore, the therapeutic role of immune-checkpoint inhibitors (ICIs) in oncogene-driven NSCLC remains unclear. Therefore, this review aimed to classify the management of NSCLC with driver mutations based on the gene subtype, concomitant mutation, and dynamic alternation. Then, we provide an overview of the resistant mechanism of target therapy occurring in targeted alternations ("target-dependent resistance") and in the parallel and downstream pathways ("target-independent resistance"). Thirdly, we discuss the effectiveness of ICIs for NSCLC with driver mutations and the combined therapeutic approaches that might reverse the immunosuppressive tumor immune microenvironment. Finally, we listed the emerging treatment strategies for the new oncogenic alternations, and proposed the perspective of NSCLC with driver mutations. This review will guide clinicians to design tailored treatments for NSCLC with driver mutations.

Mechanisms of Acquired Resistance and Tolerance to EGFR Targeted Therapy in Non-Small Cell Lung Cancer

Non-small cell lung cancers (NSCLC) harboring activating mutations of the epidermal growth factor receptor (EGFR) are treated with specific tyrosine kinase inhibitors (EGFR-TKIs) of this receptor, resulting in clinically responses that can generally last several months. Unfortunately, EGFR-targeted therapy also favors the emergence of drug tolerant or resistant cells, ultimately resulting in tumor relapse. Recently, cellular barcoding strategies have arisen as a powerful tool to investigate the clonal evolution of these subpopulations in response to anti-cancer drugs. In this review, we provide an overview of the currently available treatment options for NSCLC, focusing on EGFR targeted therapy, and discuss the common mechanisms of resistance to EGFR-TKIs. We also review the characteristics of drug-tolerant persister (DTP) cells and the mechanistic basis of drug tolerance in EGFR-mutant NSCLC. Lastly, we address how cellular barcoding can be applied to investigate the response and the behavior of DTP cells upon EGFR-TKI treatment.

Healthcare coverage affects survival of EGFR-mutant Thai lung cancer patients

Background

Despite significant benefits of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment in patients with EGFR-mutated NSCLC, access remains limited in Thailand and elsewhere.

Methods

Retrospective analysis of patients with locally advanced/recurrent NSCLC and known EGFR mutation (EGFRm) status treated at Ramathibodi Hospital (2012-2017). Prognostic factors for overall survival (OS), including treatment type and healthcare coverage, were analyzed using Cox regression.

Results

Of 750 patients, 56.3% were EGFRm-positive. After first-line therapy (n=646), 29.4% received no subsequent (second-line) treatment. EGFR-TKI-treated EGFRm-positive patients survived significantly longer than EGFRm-negative patients without EGFR-TKIs (median OS [mOS] 36.4 vs. 11.9 months; hazard ratio HR=0.38 [95%CI 0.32-0.46], P<0.001). Cox regression indicated significantly longer OS in patients with comprehensive healthcare coverage that included reimbursement of EGFR-TKIs, versus basic coverage (mOS 27.2 vs. 18.3 months; adjusted HR=0.73 [95%CI 0.59-0.90]). Compared with best supportive care (BSC; reference), EGFR-TKI-treated patients survived significantly longer (mOS 36.5 months; adjusted HR (aHR)=0.26 [95%CI 0.19-0.34]), and versus chemotherapy alone (14.5 months; aHR=0.60 [95%CI 0.47-0.78]). In EGFRm-positive patients (n=422), relative survival benefit of EGFR-TKI treatment remained highly significant (aHR[EGFR-TKI]=0.19 [95%CI 0.12-0.29]; aHR(chemotherapy only)=0.50 [95%CI 0.30-0.85]; reference:BSC), indicating that healthcare coverage (reimbursement) affected treatment choice and survival.

Conclusion

Our analysis describes EGFRm prevalence and survival benefit of EGFR-TKI therapy for EGFRm-positive NSCLC patients treated from 2012-2017, one of the largest such Thai datasets. Together with research by others, these findings contributed evidence supporting the decision to broaden erlotinib access on healthcare schemes in Thailand from 2021, demonstrating the value of local real-world outcome data for healthcare policy decision-making.

Effect of EGFR amplification on the prognosis of EGFR-mutated advanced non-small-cell lung cancer patients: a prospective observational study

BACKGROUND

Epidermal growth factor receptor (EGFR) amplification refers to the copy number increase of EGFR gene, and is often identified as a "bypass" way of Epidermal growth factor receptor Tyrosine kinase inhibitors (EGFR-TKI) resistance. We aimed to explore the effect of EGFR amplification on EGFR mutation treatment-naive advanced non-squamous non-small cell lung cancer (NSCLC) patients.

METHODS

We conducted a prospective observational study in single center, enrolling advanced non-squamous NSCLC patients receiving Tyrosine kinase inhibitors (TKIs) between March 3, 2019, and February 1, 2022. Next-generation sequencing (NGS) was used to detect genetic alterations in tumor tissue samples. Progression-free survival (PFS) curves were performed using the Kaplan-Meier method. Univariate and multivariate analyses were used to evaluate factors affecting the efficacy of TKIs.

RESULTS

A total of 117 treatment-naive advanced NSCLC patients were identified in this study. EGFR amplification was found in 22 of 117 (18.8%) patients with EGFR mutations. Of 22 patients with EGFR amplification, 10 patients harbored EGFR 19 del, 11 patients with 21-L858R. The median follow-up time was 22.47 months. The median PFS of the patients with or without EGFR amplification was 8.25 months and 10.67 months, respectively (log-rank test, P = 0.63). In multivariate analysis, EGFR amplification was not an independent prognosis factor for the patients receiving first-line TKIs [HR = 1.38, 95%CI (0.73-2.58), P = 0.321]. Subgroup analysis revealed that EGFR amplification is a risk factor for progression in the brain metastasis population. [HR = 2.28, 95%CI (1.01, 5.14), P = 0.047].

CONCLUSION

EGFR amplification is not an independent prognosis factor for PFS in advanced non-squamous NSCLC patients receiving first-line TKIs. However, it is an independent risk factor for PFS in the brain metastasis population.

The efficacy of immune checkpoint inhibitors in advanced EGFR-Mutated non-small cell lung cancer after resistance to EGFR-TKIs: Real-World evidence from a multicenter retrospective study

Background

The efficacy of immune checkpoint inhibitors (ICIs) in pretreated EGFR-mutated non-small cell lung cancer (NSCLC) patients is controversial. We conducted this multicenter retrospective study to examine the efficacy of ICIs in a real world setting.

Patients and methods

We collected 116 consecutive NSCLC patients with sensitive EGFR mutations who received ICIs alone or in combination after failure to respond to EGFR tyrosine kinase inhibitors (EGFR-TKIs), and 99 patients were included for final analysis. The impacts of ICIs on the patients’ objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS) were assessed. The relationships between outcomes and clinical characteristics were analyzed.

Results

The ORR in patients with target lesions was 31.25% (95% CI: 22.18-41.52), and the DCR in all patients was 65.66% (95% CI: 55.44-74.91). The overall median PFS was 5.0 months (95% CI: 3.0-6.6), and the median OS was 15.9 months (95% CI: 10.8-23.8). The outcomes were better in patients receiving combination therapy with ECOG scores of 0-1 and no more than 2 lines of prior therapy, with a median PFS of 7.4 months (95% CI: 3.0-13.3) and a median OS of 29.0 months (95% CI: 11.7-NE). Primary EGFR mutation type and treatment mode were found to have a notable impact on clinical outcomes. Both median PFS and OS in patients with EGFR L858R mutation were significantly shorter than those in patients with EGFR exon 19 deletion (19del) (PFS: 2.5 versus 6.7 months, HR: 1.80, log-rank P=0.011; OS: 9.8 versus 26.9 months, HR: 2.48, log-rank P=0.002). Patients receiving combination therapy had notably longer median PFS and OS than those receiving monotherapy (PFS: 5.2 versus 3.0 months, HR: 0.54, log-rank P=0.020; OS: 19.0 versus 7.4 months, HR: 0.46, log-rank P=0.009).

Conclusions

Our study suggests that ICI-based combination therapy is a potential strategy for EGFR-mutated NSCLC patients after EGFR-TKI failure. The efficacy may differ according to EGFR subtypes.

The benefit of anti-angiogenic therapy in EGFR exon 21 L858R mutant non-small cell lung cancer patients: a retrospective study

Patients with epidermal growth factor receptor (EGFR) exon 21 L858R substitution benefit less from standard EGFR tyrosine kinase inhibitor (TKI) treatment, and whether anti-angiogenic therapy was beneficial to the EGFR L858R subpopulation was inconclusive. A retrospective study was conducted to investigate the survival benefit and the target characteristics of the anti-angiogenic agent in the EGFR L858R patients in our center, comparing those treated with or without anti-angiogenic therapy (cohort A and cohort B). At the median follow-up time of 31.0 months vs 32.7 months (cohort A vs. B) respectively, Cohort A (n = 58) had a significantly prolonged median OS compared to Cohort B (n = 101) (60.0 months vs.37.0 months, HR 0.51, p = 0.016). Anti-angiogenic therapy significantly prolonged the OS in patients with liver metastases (NA vs.26.0 months, HR 0.17, p = 0.023) comparing to patients without liver metastases (60.0 months vs.37.0 months, HR 0.63, p = 0.129). For brain metastatic patients, anti-angiogenic treatment tended to improve median OS with (65.0 months vs.35.0 months, HR 0.29, p = 0.068) or without brain radiotherapy (73.0 months vs.29.0 months, HR 0.24, p = 0.171). The grade 3 or more adverse events were manageable and consistent with previous studies. Patients with EGFR L858R mutation treated with anti-angiogenic therapy in their course of treatment had a significantly prolonged OS compared to those who had never received an anti-angiogenic agent. Patients with liver metastases might benefit more from anti-angiogenic therapy than those without.

Combination RSL3 Treatment Sensitizes Ferroptosis- and EGFR-Inhibition-Resistant HNSCCs to Cetuximab

Head and neck squamous cell carcinomas (HNSCCs) are a type of cancer originating in the mucosal epithelium of the mouth, pharynx, and larynx, the sixth most common cancer in the world. However, there is no effective treatment for HNSCCs. More than 90% of HNSCCs overexpress epidermal growth factor receptors (EGFRs). Although small molecule inhibitors and monoclonal antibodies have been developed to target EGFRs, few EGFR-targeted therapeutics are approved for clinical use. Ferroptosis is a new kind of programmed death induced by the iron catalyzed excessive peroxidation of polyunsaturated fatty acids. A growing body of evidence suggests that ferroptosis plays a pivotal role in inhibiting the tumor process. However, whether and how ferroptosis-inducers (FINs) play roles in hindering HNSCCs are unclear. In this study, we analyzed the sensitivity of different HNSCCs to ferroptosis-inducers. We found that only tongue squamous cell carcinoma cells and laryngeal squamous cell carcinoma cells, but not nasopharyngeal carcinoma cells, actively respond to ferroptosis-inducers. The different sensitivities of HNSCC cells to ferroptosis induction may be attributed to the expression of KRAS and ferritin heavy chain (FTH1) since a high level of FTH1 is associated with the poor prognostic survival of HNSCCs, but knocked down FTH1 can promote HNSCC cell death. Excitingly, the ferroptosis-inducer RSL3 plays a synthetic role with EGFR monoclonal antibody Cetuximab to inhibit the survival of nasopharyngeal carcinoma cells (CNE-2), which are insensitive to both ferroptosis induction and EGFR inhibition due to a high level of FTH1 and a low level of EGFR, respectively. Our findings prove that FTH1 plays a vital role in ferroptosis resistance in HNSCCs and also provide clues to target HNSCCs resistant to ferroptosis induction and/or EGFR inhibition.

CD73 (NT5E) Promotes the Proliferation and Metastasis of Lung Adenocarcinoma through the EGFR/AKT/mTOR Pathway

Introduction

Lung cancer is the most common malignant tumor and the main cause of tumor-related death globally. As the 5-year survival rate of lung adenocarcinoma (LUAD) remains low, it is necessary to investigate novel molecular markers and therapeutic targets for LUAD.

Materials and Methods

The protein expression of CD73 (NT5E) in LUAD specimens was analyzed using immunohistochemistry. Reverse transcription-quantitative PCR and western blot analysis were used to analyze the mRNA and protein expression levels of several genes in LUAD cells. The proliferation of LUAD cells was evaluated using proliferation and colony formation assays and apoptosis analysis. Wound healing and Transwell invasion assays were used to analyze the migration and invasion of the A549 cells, respectively. In addition, overexpression plasmids and small interfering RNAs were used to overexpress or knockdown the expression levels of CD73 in the A549 cell line, respectively. Finally, the interaction between CD73 and EGFR in the A549 cell line was analyzed using immunoprecipitation.

Results

Our research emphasized the importance of CD73 in the prognosis of LUAD and highlighted it as a potential therapeutic target. We also found that the mRNA and protein expression levels of CD73 are increased in LUAD specimens and cell lines and were associated with a poor prognosis in patients with LUAD. Furthermore, it was revealed that CD73 may promote the proliferation, migration, and invasion of the A549 cell line. Finally, we demonstrated that CD73 could bind epidermal growth factor receptor (EGFR) to further regulate the activation of the AKT/mTOR signaling pathway.

Conclusions

CD73 promotes LUAD proliferation and metastasis through EGFR/AKT/mTOR axis.

The real-life efficacy and safety of osimertinib in pretreated advanced non-small cell lung cancer patients with T790M mutation: a Turkish Oncology Group Study

INTRODUCTION

Osimertinib, an irreversible third-generation EGFR-TKI, is the standard of care for second-line treatment of T790M-mutant advanced NSCLC patients whose disease progressed after first-line EGFR-TKI therapy. In this multicenter study, we aimed to determine the real-life efficacy and safety of Osimertinib in pretreated advanced NSCLC patients with T790M mutation.

MATERIALS AND METHODS

This retrospective trial included advanced T790M-mutant pretreated NSCLC patients who received Osimertinib from 24 different centers in Turkey. Primary endpoint was time-to-treatment discontinuation (TTD). Secondary endpoints were objective response rate (ORR), overall survival (OS), and safety.

RESULTS

Of 163 patients, 68.7% had EGFR exon 19 deletion and 22.7% had exon 21 L858R mutation. Osimertinib was given as second-line treatment in 96 patients (58.9%) and third-line in 48 patients (29.4%). After median of 13-month follow-up, median TTD was 21.6 months with an 82.2% ORR. Estimated median OS was 32.1 months. Grade 3-4 adverse events were seen in 11.7% of the patients.

CONCLUSION

Osimertinib is a highly effective option in second- or third-line treatment of NSCLC patients with T790M mutation, with a favorable safety profile.

Factors affecting outcome in resected EGFR-mutated lung cancer

INTRODUCTION

Long-term data on disease trajectory of EGFR-mutated early-stage non-small cell lung cancer (NSCLC) is still limited. This is relevant in the context of the recently approved introduction of adjuvant EGFR-targeting therapy, specifically osimertinib in resected stage II-III EGFR-mutated NSCLC.

METHODS

Long-term data on patients with resected adenocarcinoma of the lung and known EGFR-status were analysed with focus on site of relapse and detailed cause of death. Patients resected in the period 2006 to 2018 were included.

RESULTS

Of 503 patients (286 (57%) females, median age 67.3 years), 62 (12%) harboured an EGFR-mutation, 286 (57%) were in stage I. After a median follow-up of 8.0 years, 241 (48%) patients relapsed. Recurrence occurred in 30% and 53% of EGFR-positive stage IA and IB patients, respectively. Median overall survival was longer in EGFR-mutated versus non-mutated patients (128 versus 88 months). The recurrence rate, time to recurrence and rate of brain metastases was not different between EGFR-mutated and non-mutated groups. Median time from recurrence to death was longer in EGFR-mutated patients (31 months) compared with non-mutated patients (15 months). More patients without EGFR-mutation succumbed to non-cancer related death (18%) compared to patients with EGFR-mutations (8%).

CONCLUSIONS

The recurrence pattern in EGFR-mutated and non-mutated NSCLC-patients is similar and the rate is high in early stages. Time from recurrence to death and overall survival is longer in the EGFR-mutated group, due to lower risk of non-lung cancer deaths, and efficient treatment upon relapse.

Retrospective study of EGFR-mutant lung adenocarcinoma with bone metastatic clinical features

BACKGROUND

With more and more target medicine application in lung cancer, lots of patients take medicine at home, the treatment bone metastasis and screen of bone metastasis always has been neglected until skeletal-related events (SREs) such as bone pain, hypercalcemia of malignancy and pathologic fractures emerging which significantly impairs the patients' daily activity ability, seriously lower quality of life.

AIM

To identify the clinical characteristics of patients which influence the overall survival (OS) of EGFR-TKIs effective in EGFR-mutant NSCLC with bone metastasis (BM) and the bone metastatic image features.

METHODS

We conducted a retrospective study in patients (treated with EGFR-TKIs ≥6 months) of lung adenocarcinoma with BM in our hospital from October 2014 to October 2017. The Kaplan-Meier survival curves were calculated using the log-rank univariate test. Multivariate regression analysis was conducted using Cox's regression model. Comparison between the different subgroups of bone metastasis was conducted using Pearson Chi-Square test.

RESULTS

A total of 79 patients were diagnosed as EGFR-mutant lung adenocarcinoma with bone metastases. At univariate analysis, age < 65 years (p = .024), heavy smoking (p = .005), Osteolytic BM (p = .034), number of bone metastasis ≥3 (p = .032), EGFR-L858R mutated (p = .018) and bisphosphonate times <6 (p = .046), were significantly associated with worse overall survival (OS). At multivariate analysis, EGFR 19del was an independent predictor of better OS (p = .035). Osteolytic BM was more likely to occur in EGFR-mutant patients (osteolytic vs. sclerotic vs. mixed: 45.57% vs. 34.18% vs. 20.25%). Patients who had received bisphosphonate ≥6 times were less suffer from SRE compared to those treated with bisphosphonate <6 times (p = .019).

CONCLUSION

In conclusions, this retrospective study suggests that for the patients, treated with EGFR-TKIs ≥6 months, EGFR exon 19 del, osteogenic bone metastasis, bisphosphonate application times ≥6, smoking <400/day and the number of BM <3 were predictors of better OS (p < .05). Bisphosphonate times ≥9 should be considered to the patients with BM. SPECT-CT would be an effective correction of SPECT in the patient's bone metastasis examination. During the whole follow-up process, we found by chance that the change of bone mineral density in the follow-up process suggested that bisphosphonates need to be used for more than 1 year or more, and we can use local CT in the follow-up clinical practice to confirm the bone density changes to decide when we could stop or reduce bisphosphonate application.