Brain Metastases at Presentation in Patients With Non-Small Cell Lung Cancer

Risk factors for brain metastases in locally advanced non-small cell lung cancer patients treated with radical radiotherapy

Background

Brain metastases (BM) happen frequently in lung cancer patients and lead to a poor prognosis as well as a lower quality of life. The aim of this study was to identify risk factors for BM in locally advanced non-small cell lung cancer (LA-NSCLC) patients receiving radical radiotherapy, which will be useful for selecting appropriate patient population for further intervention and future trial design.

Methods

This was a retrospective cohort study. Patients with inoperable stage IIB-IIIC NSCLC were treated consecutively with definitive thoracic radiotherapy from January 2018 to December 2021, and were retrospectively reviewed and enrolled. Patients with various clinical variables were analyzed to clarify their impact on BM with competing risk models by Fine and Gray.

Results

A total of 134 patients were enrolled in this study. The median follow-up for all patients was 37 months [95% confidence interval (CI): 30.5-43.5 months]. BM occurred in 25 patients at the time of analysis. The 1-year and 3-year cumulative BM incidence were 10.5% and 19.9%, respectively. Patients with BM had worse overall survival than those without BM [stratified hazard ratio (HR) for death: 2.83; 95% CI:1.31-6.11; P<0.001]. Based on univariate analyses, non-squamous cell carcinoma (non-SCC), biological effective dose (BED) and planning target volume (PTV) were used as input variables in multivariable analysis (P<0.01). According to multivariate analysis, non-SCC (P<0.001; HR: 6.08; 95% CI: 2.26-16.37), BED <72 Gy (P=0.017; HR: 2.81; 95% CI: 1.20-6.57), and PTV >157.73 cm3 (P=0.043; HR: 2.56; 95% CI: 1.03-6.35) were independent risk factors for BM. In subgroup analysis of adenocarcinoma with known epidermal growth factor receptor (EGFR) mutation status, PTV >157.73 cm3 and positive EGFR mutation were independent predictors for BM.

Conclusions

In this retrospective study, we found that BED <72 Gy and PTV >157.73 cm3 were significantly associated with BM development and we validated that non-SCC and positive EGFR mutation were risk factors for BM. More research is required to screen the high-risk patient population.

Survival Predictive Nomograms for Non-Surgical Brain Metastases Patients From Non-Small Cell Lung Cancer Receiving Radiotherapy: A Population-Based Study

OBJECTIVE

A high number of Non-Small Cell Lung Cancer (NSCLC) patients with brain metastasis who have not had surgery often have a negative outlook. Radiotherapy remains a most common and effective method. Nomograms were developed to forecast the cancer-specific survival (CSS) and overall survival (OS) in NSCLC individuals with nonoperative brain metastases who underwent radiotherapy.

METHODS

Information was gathered from the Surveillance, Epidemiology, and End Results (SEER) database about patients diagnosed with NSCLC who had brain metastases not suitable for surgery. Nomograms were created and tested using multivariate Cox regression models to forecast CSS and OS at intervals of 1, 2, and 3 years.

RESULTS

The research involved 3413 individuals diagnosed with NSCLC brain metastases who had undergone radiotherapy but had not experienced surgery. These participants were randomly divided into two categories. The analysis revealed that gender, age, ethnicity, marital status, tumor location, tumor laterality, tumor grade, histology, T stage, N stage, chemotherapy, tumor size, lung metastasis, bone metastasis, and liver metastasis were significant independent predictors for OS and CSS. The C-index for the training set for predicting OS was .709 (95% CI, .697-.721), and for the validation set, it was .705 (95% CI, .686-.723), respectively. The C-index for predicting CSS was .710 (95% CI, .697-.722) in the training set and .703 (95% CI, .684-.722) in the validation set, respectively. The nomograms model, as suggested by the impressive C-index, exhibits outstanding differentiation ability. Moreover, the ROC and calibration curves reveal its commendable precision and distinguishing potential.

CONCLUSIONS

For the first time, highly accurate and reliable nomograms were developed to predict OS and CSS in NSCLC patients with non-surgical brain metastases, who have undergone radiotherapy treatment. The nomograms may assist in tailoring counseling strategies and choosing the most effective treatment method.

Machine-Learning-Aided Prediction of Brain Metastases Development in Non-Small-Cell Lung Cancers

PURPOSE

Non-small-cell lung cancer (NSCLC) shows a high incidence of brain metastases (BM). Early detection is crucial to improve clinical prospects. We trained and validated classifier models to identify patients with a high risk of developing BM, as they could potentially benefit from surveillance brain MRI.

METHODS

Consecutive patients with an initial diagnosis of NSCLC from January 2011 to April 2019 and an in-house chest-CT scan (staging) were retrospectively recruited at a German lung cancer center. Brain imaging was performed at initial diagnosis and in case of neurological symptoms (follow-up). Subjects lost to follow-up or still alive without BM at the data cut-off point (12/2020) were excluded. Covariates included clinical and/or 3D-radiomics-features of the primary tumor from staging chest-CT. Four machine learning models for prediction (80/20 training) were compared. Gini Importance and SHAP were used as measures of importance; sensitivity, specificity, area under the precision-recall curve, and Matthew's Correlation Coefficient as evaluation metrics.

RESULTS

Three hundred and ninety-five patients compromised the clinical cohort. Predictive models based on clinical features offered the best performance (tuned to maximize recall: sensitivity∼70%, specificity∼60%). Radiomics features failed to provide sufficient information, likely due to the heterogeneity of imaging data. Adenocarcinoma histology, lymph node invasion, and histological tumor grade were positively correlated with the prediction of BM, age, and squamous cell carcinoma histology were negatively correlated. A subgroup discovery analysis identified 2 candidate patient subpopulations appearing to present a higher risk of BM (female patients + adenocarcinoma histology, adenocarcinoma patients + no other distant metastases).

CONCLUSION

Analysis of the importance of input features suggests that the models are learning the relevant relationships between clinical features/development of BM. A higher number of samples is to be prioritized to improve performance. Employed prospectively at initial diagnosis, such models can help select high-risk subgroups for surveillance brain MRI.

Extracranial metastasis sites correlate to the incidence risk of brain metastasis in stage IV non-small cell lung cancer: a population-based study

PURPOSE

The aim of this study was to analyse the correlation of extracranial metastasis sites (ECMs) to the incidence risk of brain metastasis (BMs) in stage IV non-small cell lung cancer (NSCLC).

METHODS

18349 newly diagnosed patients were retrospectively analysed, and 4919 pairs of cases were matched by propensity score matching in a 1:1 ratio. Alternative factors were analysed by multivariable logistic regression analysis. And the interaction analysis and subgroup analysis were carried out.

RESULTS

The incidences of Brain, Lung, Liver, Bone, Multiple and Other metastasis were 26.9%, 20.2%, 4.6%, 19.9%, 16.9% and 38.3%, respectively. Results suggested that Age, Race, Histological type, Grade, T stage, N stage and Organ metastasis site were risk factors (p < 0.05). The interaction analysis suggested interaction effects between the Primary site, T stage, N stage and Organ metastasis site. The subgroup analysis showed that the Organ metastasis site and the risk of BMs were statistically significant except that the Overlapping subgroup (p = 0.267) of the Primary site. And the incidence risk of BMs in Lung metastasis, Liver metastasis and Bone metastasis groups was lower than that in other metastasis group (OR 1, p < 0.05). There was no significant difference between the Multiple metastasis group and the other metastasis group (OR 1.091, p = 0.169).

CONCLUSION

Advanced age, non-Asian/Pacific Islander, non-squamous cell carcinoma, poorly differentiated grade, and higher T/N stage were risk factors for increased BMs in stage IV NSCLC, and the ECMs were associated with the risk of BMs.

Brain Metastasis Incidence and Patterns of Presentation After Definitive Treatment of Locally Advanced Non-Small Cell Lung Cancer: A Potential Argument for Brain Magnetic Resonance Imaging Surveillance

Purpose

Brain metastases (BMs) are a common source of morbidity and mortality. Guidelines do not advise brain surveillance for locally advanced non-small cell lung cancer (LA-NSCLC). We describe the incidence, time to development, presentation, and management of BMs after definitive chemoradiotherapy (CRT).

Methods and Materials

We reviewed records of patients with LA-NSCLC treated with CRT within the period from 2013 to 2020. Descriptive statistics were used to characterize the population and the Kaplan-Meier method was used to estimate time to BM. Fisher exact tests and Wilcoxon rank-sum tests were used to compare outcomes between symptomatic and asymptomatic patients.

Results

A total of 219 patients were reviewed including 96 with squamous cell carcinoma, 88 with adenocarcinoma, and 35 with large cell/not otherwise specified (LC/NOS). Thirty-nine patients (17.8%) developed BMs: 35 (90%) symptomatic and 4 (10%) asymptomatic. The rate of BM was highest in LC/NOS (34.3%) and adenocarcinoma (23.9%). Ninety percent of BMs occurred within 2 years. All asymptomatic patients underwent stereotactic radiosurgery alone, compared with 40% of symptomatic patients (P = .04). Symptomatic patients were more likely to require hospitalization (65.7% vs 0%, P = .02), craniotomy (25.7% vs 0%, not significant), and steroids (91.4% vs 0%, P < .001). Cumulative BM volume was higher for symptomatic patients (4 vs 0.24 cm³, P < .001) as was median greatest axial dimension (2.18 vs 0.52 cm, P < .001).

Conclusions

We identified a high rate of BMs, particularly in LC/NOS and adenocarcinoma histology NSCLC. The majority were symptomatic. These results provide rationale for post-CRT magnetic resonance imaging brain surveillance for patients at high risk of BM.

Brain imaging in lung cancer staging: A real-world, multi-centre study of prevalence of brain metastases, impact on treatment and re-modelling of the NICE health economic analysis

INTRODUCTION

In 2019, the National Institute for Health and Care Excellence (NICE) updated their recommendations with respect to brain imaging in the staging of non-small cell lung cancer (NSCLC) based on an analytic cost-effectiveness model using published data and modelling assumptions from committee experts. In this study, we aimed to re-run this model using real-world multi-centre UK data.

MATERIALS AND METHODS

Retrospective data was collected on consecutive patients with radically treatable clinical stage II and III lung cancer from eleven acute NHS Trusts during the calendar year 01/01/2018 to 31/12/2018. Following a written application to the NICE lung cancer guideline committee, we were granted access to the NG122 brain imaging economic model for the purpose of updating the input parameters in line with the real-world findings from this study.

RESULTS

A total of 444 patients had data for analysis. The combined prevalence of occult brain metastases was 6.2% (10/165) in stage II and 6% (17/283) in stage III, compared to 9.5% and 9.3% used in the NICE economic model. 30% of patients with clinical stage III NSCLC and occult BMs on pre-treatment imaging went onto complete the planned curative intent treatment of extracranial disease, 60% completed SRS to the brain and 30% completed WBRT. This compares to 0%, 10% and 0% in the NICE assumptions. The health economic analysis concluded that brain imaging was no longer cost-effective in stage II disease (ICERs £50,023-£115,785) whilst brain imaging remained cost-effective for stage III patients (ICERs 17,000-£22,173), with MRI being the most cost-effective strategy.

CONCLUSION

This re-running of the NICE health economic model with real-world data strongly supports the NICE guideline recommendation for brain imaging prior to curative-intent treatment in stage III lung cancer but questions the cost-effectiveness of CT brain imaging prior to curative-intent treatment in stage II lung cancer.

Upfront Advanced Radiotherapy and New Drugs for NSCLC Patients with Synchronous Brain Metastases: Is the Juice Worth the Squeeze? A Real-World Analysis from Lombardy, Italy

AIM

Healthcare administrative databases represent a valuable source for real-life data analysis. The primary aim of this study is to compare effectiveness and cost profile in non-small-cell lung cancer (NSCLC) patients harboring synchronous brain metastases (BMs) who received non-chemo first-line systemic therapy with or without advanced radiotherapy (aRT).

METHODS

Diagnostic ICD-9-CM codes were used for identifying all patients with a new diagnosis of lung cancer between 2012 and 2019. Among these, patients who had started a first-line systemic treatment with either TKIs or pembrolizumab, alone or in combination with intensity-modulated or stereotactic RT, were selected. Clinical outcomes investigated included overall survival (OS), progression-free survival (PFS), and time-to-treatment failure (TTF). The cost outcome was defined as the average per capita cumulative healthcare direct costs of the treatment, including all inpatient and outpatient costs.

RESULTS

The final cohort included 177 patients, of whom 58 were treated with systemic treatment plus aRT (STRT) and 119 with systemic treatment alone. The addition of aRT to systemic treatment was associated with a significantly better OS (p = 0.020) and PFS (p = 0.041) than systemic therapy alone. The ICER (incremental cost-effectiveness ratio) value indicated an average cost of €3792 for each month of survival after STRT treatment and confirmed clinical effectiveness but higher healthcare costs.

CONCLUSIONS

This real-world study suggests that upfront aRT for NCLSC patients with synchronous BMs represents a valid treatment strategy, boosting the efficacy of novel and emerging drug classes with sustainable costs for the health service.

TRANSLATIONAL RELEVANCE

The present real-world study reports that the use of upfront advanced radiotherapyaRT and new-generation systemic agents, such as TKIs and pembrolizumab, may have higher oncological control and an improved cost-effectiveness profile than the use of new-generation systemic agents alone in NCLSC patients with synchronous brain metastases. Acquired evidence can also be used to inform policymakers that adding advanced radiotherapy results is a sustainable cost for the health service. Since approximately 50% of patients do not meet RCT inclusion criteria, a significant proportion of them is receiving treatment that is not evidence-informed; therefore, these results warrant further studies to identify the best radiotherapy timing and possible dose escalation approaches to improving treatment efficacy in patient subgroups not typically represented in randomized controlled trials.

Challenges and knowledge gaps with immune checkpoint inhibitors monotherapy in the management of patients with non-small-cell lung cancer: a survey of oncologist perceptions

BACKGROUND

Immune checkpoint-inhibitors (ICIs) are changing outcomes in different cancer settings, notably for patients with non-small-cell lung cancer (NSCLC). There are, however, still important gaps of evidence for clinical practice when using these novel treatments. In this study, we assessed physicians' opinion and experience on challenges for clinical practice with ICIs monotherapy in NSCLC.

METHODS

A survey was conducted on experienced physicians treating patients with NSCLC with ICIs. Two rounds of pilot tests were carried out for validation among a group of experts. Topics under analysis were in relation to treatment of elderly populations, performance status, brain metastases, use of steroids or antibiotics, the effects of gut microbiome, autoimmune diseases, human immunodeficiency virus infection, solid organ transplants, use of anti-programmed cell death protein 1 versus anti-programmed death-ligand 1 drugs, atypical tumour responses, predictors of response, duration of treatment and a final open question on additional relevant challenges.

RESULTS

Two hundred and twenty-one answers were collected, including 106 (48%) valid answers from experts for final analysis (physicians who have treated at least 20 patients with NSCLC with ICIs). The vast majority agreed that the selected topics in this study are important challenges ahead and more evidence is needed. Moreover, predictors of response, treating brain metastasis, shorter duration of treatment, the effects of gut microbiome and concomitant use of steroids were voted the most important topics to be further addressed in prospective clinical research.

CONCLUSIONS

This survey contributed to understanding which are the main challenges for clinical practice with ICIs monotherapy in NSCLC. It can also contribute to guide further clinical research, considering the opinions and experience of those who regularly treat NSCLC patients with ICIs.

Clinical features and molecular genetics associated with brain metastasis in suspected early-stage non-small cell lung cancer

Introduction

Regarding whether brain magnetic resonance imaging (MRI) should be routine in patients with suspected early-stage lung cancer, guideline recommendations are inconsistent. Therefore, we performed this study to evaluate the incidence of and risk factors for brain metastasis (BM) in patients with suspected early-stage non-small-cell lung cancer (NSCLC).

Methods

A review of the medical charts of consecutive NSCLC patients diagnosed between January 2006 and May 2020 was performed. We identified 1,382 NSCLC patients with clinical staging of T1/2aN0M0 (excluding BM), and investigated the incidence, clinical predictors, and prognosis of BM in the cohort. We also performed RNA-sequencing differential expression analysis using transcriptome of 8 patients, using DESeq2 package (version 1.32.0) with R (version 4.1.0).

Results

Among 1,382 patients, nine hundred forty-nine patients (68.7%) underwent brain MRI during staging, and 34 patients (3.6%) were shown to have BM. Firth's bias-reduced logistic regression showed that tumor size (OR 1.056; 95% CI 1.009-1.106, p=0.018) was the only predictor of BM, and pathologic type was not a predictor of BM in our cohort (p>0.05). The median overall survival for patients with brain metastasis was 5.5 years, which is better than previously reported in the literature. RNA-sequencing differential expression analysis revealed the top 10 significantly upregulated genes and top 10 significantly downregulated genes. Among the genes involved in BM, Unc-79 homolog, non-selective sodium leak channel (NALCN) channel complex subunit (UNC79) was the most highly expressed gene in the lung adenocarcinoma tissues from the BM group, and an in vitro assay using A549 cells revealed that the NALCN inhibitor suppressed lung cancer cell proliferation and migration.

Conclusions

Given the incidence and favorable outcome of BM in patients with suspected early-stage NSCLC, selective screening with brain MRI may be considered, especially in patients with high-risk features.

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images

Treatment decisions for brain metastatic disease rely on knowledge of the primary organ site and are currently made with biopsy and histology. Here, we develop a deep-learning approach for accurate non-invasive digital histology with whole-brain magnetic resonance imaging (MRI) data. Contrast-enhanced T1-weighted and fast spoiled gradient echo brain MRI exams (n = 1,582) were preprocessed and input to the proposed deep-learning workflow for tumor segmentation, modality transfer, and primary site classification into one of five classes. Tenfold cross-validation generated an overall area under the receiver operating characteristic curve (AUC) of 0.878 (95% confidence interval [CI]: 0.873,0.883). These data establish that whole-brain imaging features are discriminative enough to allow accurate diagnosis of the primary organ site of malignancy. Our end-to-end deep radiomic approach has great potential for classifying metastatic tumor types from whole-brain MRI images. Further refinement may offer an invaluable clinical tool to expedite primary cancer site identification for precision treatment and improved outcomes.

Non-Small-Cell Lung Cancer With CNS Metastasis: Disparities From a Real-World Analysis (GBOT-LACOG 0417)

Despite the advances in the approach to non–small-cell lung cancer (NSCLC) with CNS metastasis, access to timely diagnosis and treatment may not be optimal in many instances. Our main objective was to describe a cohort of patients with NSCLC with brain metastases from public and private cancer centers, and the differences between patients' presentation, treatment, and outcomes.

Worse survival in lung cancer patients with brain metastasis from public institutions.

Clinical utility of cerebrospinal fluid-derived circular RNAs in lung adenocarcinoma patients with brain metastases

Background

Free circular RNAs(circRNAs) escaping from primary lesion of cancer to brain are strictly regulated by blood–brain barrier and therefore cerebrospinal fluid (CSF) circRNAs have potential advantage in exploring biomarkers and mechanism of brain metastasis in lung cancer.

Methods

We collected paired cerebrospinal fluid, plasma and tumor tissues from 21 lung adenocarcinoma (ADC) patients with brain metastases (BM) and performed RNA sequencing.

Results

Compared to tumor tissue and plasma, circRNAs in CSF were characterized by lower number of spieces but higher abundance. Notably, CSF-circRNAs displayed high heterogeneity among different BM lung ADC patients. A total of 60 CSF-circRNAs was identified and associated with shorten overall survival. The circRNA-miRNA-mRNA network analysis revealed that the 60 CSF-circRNAs involved in cancer-associated pathways, and five of them showed strong association with WNT signaling pathway. Validation by RT-PCR of CSF and in vitro experiments of the five candidate circRNAs support their potential roles in cell proliferation and invasion.

Conclusions

In summary, our results depicted the heterogenous CSF-circRNAs profiles among BM lung ADC and implied that CSF-circRNAs may be promising prognosis-related biomarkers.

Brain Metastasis in Patients with Small Cell Lung Cancer

Purpose

To characterize the risk factors for brain metastasis (BM) at presentation and analyze the prognostic factors for patients with small cell lung cancer (SCLC).

Patients and Methods

Patients were recruited from the SEER database between 2010 and 2016. They were divided into two groups according to BM status. The incidence trends of SCLC and its BM were analyzed by joinpoint software. The risk factors for BM in SCLC were identified by binary logistic regression models. The prognostic factors for SCLC patients with BM were identified by Cox proportional hazard models.

Results

The incidence of SCLC and its BM significantly decreased after 2010. Totally 11,093 patients were collected, including 1717 (15.5%) patients with BM and 9376 (84.5%) patients without BM. In multivariate logistic regression analysis, age, male and higher T stage were independent risk factors for BM in SCLC patients at presentation. SCLC patients with BM showed inferior survival to those without BM. In multivariate Cox regression analysis, increasing age, large tumor size, and higher N stage were risk factors for poor prognosis, while other race, surgery, adjuvant radiotherapy, and chemotherapy were protective factors for SCLC patients with BM. A nomogram was developed for prognosis evaluation of such patients.

Conclusion

Age, male and higher T stage were risk factors for BM in SCLC patients at presentation. Increasing age, large tumor size, and advanced N stage may predict poor survival for SCLC patients with BM. Multidisciplinary therapies may provide clinical benefits. This study will help identify patients with higher BM risk and hopefully improve their clinical outcome.

Association between PD-L1 expression and initial brain metastasis in patients with non-small cell lung cancer and its clinical implications

Background

Brain metastases frequently occur in patients with non‐small cell lung cancer (NSCLC) resulting in a poor prognosis. Here, we investigated the association between PD‐L1 expression and brain metastasis in patients with NSCLC and its clinical significance.

Methods

A total of 270 patients diagnosed with metastatic NSCLC who underwent PD‐L1 testing on their tumor tissue between January 2017 and March 2019 were retrospectively reviewed. The VENTANA PD‐L1 (SP263) assay was used, and positive PD‐L1 expression was defined as staining in ≥1% of tumor cells.

Results

Positive PD‐L1 expression was observed in 181 (67.0%) patients, and 74 (27.4%) patients had brain metastasis at diagnosis. Synchronous brain metastases were more frequently observed in PD‐L1‐positive compared with PD‐L1‐negative patients (31.5% vs. 19.1%, p = 0.045). Multiple logistic regression analysis identified positive PD‐L1 expression (odds ratio [OR]: 2.24, p = 0.012) as an independent factor associated with synchronous brain metastasis, along with the histological subtype of nonsquamous cell carcinoma (OR: 2.84, p = 0.003). However, the incidence of central nervous system (CNS) progression was not associated with PD‐L1 positivity, with a two‐year cumulative CNS progression rate of 26.3% and 28.4% in PD‐L1‐positive and PD‐L1‐negative patients, respectively (log rank p = 0.944). Furthermore, positive PD‐L1 expression did not affect CNS progression or overall survival in patients with synchronous brain metastasis (long rank p = 0.513 and 0.592, respectively).

Conclusions

Initial brain metastases are common in NSCLC patients with positive PD‐L1 expression. Further studies are necessary to understand the relationship between early brain metastasis and cancer immunity.

Impact of Low-Dose Computed Tomography Screening for Primary Lung Cancer on Subsequent Risk of Brain Metastasis

INTRODUCTION

Brain metastasis (BM) is one of the most common metastases from primary lung cancer (PLC). Recently, the National Lung Screening Trial revealed the efficacy of low-dose computed tomography (LDCT) screening on LC mortality reduction. Nevertheless, it remains unknown if early detection of PLC through LDCT may be potentially beneficial in reducing the risk of subsequent metastases. Our study aimed to investigate the impact of LDCT screening for PLC on the risk of developing BM after PLC diagnosis.

METHODS

We used the National Lung Screening Trial data to identify 1502 participants who were diagnosed with PLC in 2002 to 2009 and have follow-up data for BM. Cause-specific competing risk regression was applied to evaluate an association between BM risk and the mode of PLC detection-that is, LDCT screen-detected versus non-LDCT screen-detected. Subgroup analyses were conducted in patients with early stage PLC and those who underwent surgery for PLC.

RESULTS

Of 1502 participants, 41.4% had PLC detected through LDCT screening versus 58.6% detected through other methods, for example, chest radiograph or incidental detection. Patients whose PLC was detected with LDCT screening had a significantly lower 3-year incidence of BM (6.5%) versus those without (11.9%), with a cause-specific hazard ratio (HR) of 0.53 (p = 0.001), adjusting for age at PLC diagnosis, PLC stage, PLC histology, and smoking status. This significant reduction in BM risk among PLCs detected through LDCT screening persisted in subgroups of participants with early stage PLC (HR = 0.47, p = 0.002) and those who underwent surgery (HR = 0.37, p = 0.001).

CONCLUSIONS

Early detection of PLC using LDCT screening is associated with lower risk of BM after PLC diagnosis on the basis of a large population-based study.

Mutation status and postresection survival of patients with non-small cell lung cancer brain metastasis: implications of biomarker-driven therapy

OBJECTIVE

Non-small cell lung cancer (NSCLC) is the most common primary tumor to develop brain metastasis. Prognostic markers are needed to better determine survival after neurosurgical resection of intracranial disease. Given the importance of mutation subtyping in determining systemic therapy and overall prognosis of NSCLC, the authors examined the prognostic value of mutation status for postresection survival of patients with NSCLC brain metastasis.

METHODS

The authors retrospectively analyzed all cases of NSCLC brain metastasis with available molecular testing data that were resected by a single surgeon at a single academic center from January 2009 to February 2019. Mutation status, demographic characteristics, clinical factors, and treatments were analyzed. Association between predictive variables and overall survival after neurosurgery was determined with Cox regression.

RESULTS

Of the included patients (n = 84), 40% were male, 76% were smokers, the mean ± SD Karnofsky Performance Status was 85 ± 14, and the mean ± SD age at surgery was 63 ± 11 years. In total, 23%, 26%, and 4% of patients had EGFR, KRAS, and ALK/ROS1 alterations, respectively. On multivariate analysis, survival of patients with EGFR (HR 0.495, p = 0.0672) and KRAS (HR 1.380, p = 0.3617) mutations were not significantly different from survival of patients with wild-type (WT) tumor. However, the subgroup of patients with EGFR mutation who also received tyrosine kinase inhibitor (TKI) therapy had significantly prolonged survival (HR 0.421, p = 0.0471). In addition, postoperative stereotactic radiosurgery (HR 0.409, p = 0.0177) and resected tumor diameter < 3 cm (HR 0.431, p = 0.0146) were also significantly associated with prolonged survival, but Graded Prognostic Assessment score ≤ 1.0 (HR 2.269, p = 0.0364) was significantly associated with shortened survival.

CONCLUSIONS

Patients with EGFR mutation who receive TKI therapy may have better survival after resection of brain metastasis than patients with WT tumor. These results may inform counseling and decision-making regarding the appropriateness of resection of NSCLC brain metastasis.

High expression of cell adhesion molecule 2 unfavorably impacts survival in non-small cell lung cancer patients with brain metastases

Background

Lung cancer is one kind of malignant tumor with a high risk for morbidity and mortality compared to other solid organ malignancies. Brain metastases occur in 30-55% of non-small cell lung cancer (NSCLC) patients. Prognosis of NSCLC patients with brain metastases is very poor. Our previous study showed that cell adhesion molecule 2 (CADM2) could regulate the development of brain metastasis in NSCLC cells. Therefore, the objective of the study is to evaluate the effect of CADM2 on the prognosis of NSCLC patients with brain metastases.

Methods

The expression of CADM2 was detected by quantitative real-time polymerase chain reaction (qRT-PCR) in the tissue of the primary tumor. Patients were followed up and overall survival (OS) was calculated. The relationships between CADM2 and clinicopathological features were analyzed using the chi-square test. Kaplan-Meier analysis was carried out to demonstrate the influence of CADM2 on the OS of patients. Univariate and multivariate Cox analyses were used to determine the prognosis of NSCLC patients with brain metastases.

Results

A total of 139 NSCLC patients with brain metastases from the Affiliated Cancer Hospital & Institute of Guangzhou Medical University, treated between January 2015 and December 2017 were evaluated retrospectively. The expression level of CADM2 in patients ranged from 1 to 17.2677, with a median of 6.0772. Chi-square analysis showed that CADM2 gene expression level was not significantly associated with gender, age, tumor location, histological subtype, tumor T stage, extracranial metastasis, or smoking status. However, CADM2 expression was notably associated with risk for lymph node metastasis. The results of the Kaplan-Meier analysis showed that high expression [CADM2 messenger RNA (mRNA) ≥6.0772] of CADM2 was markedly associated with poor prognosis. Univariate and multivariate Cox analyses demonstrated that CADM2 was an independent risk factor for survival in NSCLC patients with brain metastases (P<0.05).

Conclusions

CADM2 expression is up-regulated and closely associated with disease progression and poor prognosis in NSCLC patients with brain metastases. CADM2 expression warrants special consideration given its potential prognostic significance that might help inform clinical decision making.

Factors for incidence risk and prognosis in non-small-cell lung cancer patients with synchronous brain metastasis: a population-based study

Background: We aimed to investigate the epidemiology of synchronous brain metastasis (SBM) in non-small-cell lung cancer (NSCLC) patients. Methods: Logistic regression and Cox regression were used to identify the related factors of SBM incidence and cancer-specific survival (CSS). A nomogram for predicting CSS was developed and validated. Results: The incidence of SBM in NSCLC patients was 12.58%. The median CSS was 5 months. Patients with younger age, female gender, and adenocarcinoma had higher odd ratios for developing SBM. In addition, a nomogram was developed based on significant factors from Cox regression. The validation of the nomogram showed that it had good calibration and discrimination. Conclusions: SBM was highly prevalent in NSCLC patients, who also had poor survival.

Pembrolizumab as First-Line Palliative Therapy in PD-L1 Overexpressing (≥ 50%) NSCLC: Real-world Results with Special Focus on PS ≥ 2, Brain Metastases, and Steroids

INTRODUCTION

Pembrolizumab is a highly effective standard of care in PD-L1 overexpressing (≥ 50%) non-small-cell lung cancer. However, a substantial share of patients from everyday clinical practice is treated without clear evidence from clinical trials.

PATIENTS AND METHODS

We performed a retrospective multicentric study including all consecutive patients from 6 certified lung cancer centers in Berlin, Germany, having received pembrolizumab as first-line palliative therapy from January 1 until December 31, 2017. Aims were to validate published clinical trials with a special focus on efficacy and outcome in patients with reduced performance status (PS), brain metastases, and steroids.

RESULTS

A total of 153 patients were included (median age 69 years, 58% men, 69% adenocarcinoma). Rates for PS ≥ 2, brain metastases, and steroids were 24.8%, 20.9%, and 24.2%, respectively. Median objective response rate, progression-free and overall survival were 48.5%, 8.2 and 22.0 months for all patients and 52.4%, 8.8 and 29.2 months in patients fulfilling the inclusion criteria for the KEYNOTE-024 trial. Patients with a comorbidity-defined PS ≥ 2, symptomatic brain metastases requiring upfront radiotherapy, or baseline steroids had significantly reduced survival. In contrast, durable responses occurred with a tumor-related PS ≥ 2 or asymptomatic brain metastases. Grade 3/4 and 5 immune-related adverse events affected 13.7% and 2.0% of patients.

CONCLUSION

Real-world and clinical trial efficacy with upfront pembrolizumab correspond well. Pembrolizumab may sufficiently control asymptomatic brain metastases and may improve a cancer-related reduced PS. However, the frail share of patients with a comorbidity-defined PS ≥ 2, symptomatic brain metastases, or baseline steroids derives no relevant benefit.

Risk of development of brain metastases according to the IASLC/ATS/ERS lung adenocarcinoma classification in locally advanced and metastatic disease

INTRODUCTION

Brain metastases (BM) are frequent among lung cancer patients, affecting prognosis and quality of life. The International Association for the Study of Lung Cancer (IASLC), American Thoracic Society (ATS) and European Respiratory Society (ERS) lung adenocarcinoma (LADC) classification (IASLC/ATS/ERS) has prognostic impact in early-stage disease; however, its role in the advanced setting is not precise. This study aims to determine the correlation between the predominant histological subtype and the risk of developing brain metastases (BM) in locally advanced and metastatic (stages IIIB-IV) LADC.

METHODS

A total of 710 patients with LADC were treated at our institution from January 2010 to December 2017. After excluding patients with brain metastases at diagnoses (n = 151), they were categorized according to the IASLC/ATS/ERS LADC classification to estimate the risk of developing brain metastases. A competing risk analysis was employed, considering death a competing risk event.

RESULTS

From 559 patients, the mean age was 59 ± 13.2 years, women (52.4 %), and clinical-stage IV (79.2 %). LADC subtypes distribution was lepidic (11.6 %), acinar (37.9 %), papillary (10.2 %), micropapillary (6.8 %), and solid (33.5 %). A total of 27.0 % of patients developed BM, 32.9 % died without brain affection, and 40.0 % did not progress. The predominantly solid subtype showed the greatest probability of all subtypes for developing BM [HR 4.0; 95 % CI (1.80-8.91), p = 0.0006], followed by micropapillary [HR1.11; 95 % CI (0.36-3.39), p = 0.85). The solid subtype, moderately differentiated tumors, age, and ECOG PS (>2) were associated with increased hazards in the multivariate analysis.

CONCLUSION

According to the IASLC/ATS/ERS classification, the predominantly solid pattern was significantly associated with an increased risk of developing BM in patients with locally advanced and metastatic LADC. Its prognostic value might help explore novel clinical approaches, modify monitoring for earlier detection, prevent complications, and reduce morbidity.

Clinicopathological features and prognostic analysis of 247 small cell lung cancer with limited-stage after surgery

The objective of this study was to analyze the clinical and pathological characteristics of patients with small cell lung cancer (SCLC) after curative surgery and to explore prognostic factors for disease-free survival (DFS) and overall survival (OS). Clinical data of 247 patients were collected, and clinicopathological features were retrieved, including gender, age, smoking history, tumor location, and distant metastasis. Histopathological features were also reviewed by three pathologists, including primary tumor (T), lymph node metastasis (N), pleural invasion, bronchial invasion, nerve invasion, spread through air spaces (STAS), tumor thrombosis, major cell shape (round Vs. spindle), tumor necrosis, stromal fibrosis, and tumor-infiltrating lymphocytes (TILs). Immunohistochemical staining of neuroendocrine markers (CD56, synapsin, chromogranin A) was also reviewed. All patients were followed up for recurrence, distant metastasis, and survival. Kaplan-Meier curves and log-rank tests were applied for survival analysis. The median DFS was 98 months, and the 1-year, 3-year, and 5-year DFS rates were 70.9%, 54.4%, and 52.2%, respectively. The median OS was not reached, and the 1-year, 3-year, and 5-year survival rates were 94.2%, 72.3%, and 65.4%, respectively. Univariate analysis revealed clinicopathological features with DFS (gender, smoking history, primary tumor, regional lymph node metastasis, major cell shape, and TILs) and OS (age, primary tumor, regional lymph node metastasis, distant metastasis, nerve invasion, major cell shape, and TILs). Multivariate analysis revealed DFS-related factors (smoking history, regional lymph node metastasis and major cell shape) and OS-related factors (age, primary tumor, distant metastasis in the brain, liver, bone, nerve invasion, and TILs). Age more than 65 years, smoking, advanced stage (T and N), distant metastasis, nerve invasion, major cell shape as spindle and TILs >30% were negatively correlated with survival. Neuroendocrine immunostaining markers showed no correlation with survival. Of interest, spindle cell type and TILs >30% are revealed as independent negative prognostic factors, and further molecular mechanisms need to be explored.

Predictors of prognosis of synchronous brain metastases in small-cell lung cancer patients

Patients with small cell lung cancer (SCLC) are more likely to have synchronous brain metastasis (SBM) at the time of diagnosis than patients with any other extracranial primary malignancy. We sought to identify which factors predicted an increased risk of SBM in SCLC as well as which factors affected the prognosis of these patients. 38,956 Patients in the Surveillance, Epidemiology, and End Results (SEER) database with microscopically confirmed SCLC from 2010 to 2016 were identified. 6264 (16.1%) Patients with SCLC had SBM at the time of diagnosis. In the multivariable logistic regression, disease specific factors that were predictive of SBM were primary tumor size > 7 cm (adjusted OR = 1.14, 95% CI [1.02, 1.28], p = 0.02), synchronous lung metastases, and synchronous bone metastases. Demographic specific factors predictive of increased SBM risk in this model were younger age, male sex, and race (American Indian/Alaska Native and black patients). Patients insured through Medicaid were less likely to present with SBM. In the multivariate Cox proportional hazards model, lack of insurance was the strongest predictor of mortality (adjusted HR = 1.47, 95% CI [1.26, 1.73], p < 0.001). Other factors associated with an increased risk of mortality include male sex, older age, health insurance coverage through Medicaid, synchronous liver metastasis, synchronous lung metastasis, and primary tumor size > 7 cm. In contrast, Asian patients had a lower risk of mortality. This study identifies risk factors for SBM among patients with SCLC, as well as indicators of prognosis among this patient population.

Risk of brain metastases in T1-3N0 NSCLC: a population-based analysis

Aim:

Several consensus guidelines recommend against routine brain imaging at diagnosis of T1-3N0 non-small cell lung cancer (NSCLC).

Methods:

From the Surveillance, Epidemiology and End Results registry, patients with pathologically confirmed T1-3N0 NSCLC were identified. Risks of brain metastases at time of initial diagnosis were analyzed.

Results:

Patients selected to not undergo primary NSCLC resection had approximately tenfold greater incidence of brain metastases versus those who did. Younger age, adenocarcinoma histology, higher tumor stage and higher histologic grade were all significantly (p < 0.0001) associated with greater likelihood of presenting with brain metastases.

Conclusion:

Given the morbidity and mortality of brain metastases, routine brain screening after NSCLC diagnosis (particularly adenocarcinoma) may be justifiable, though more refined cost-benefit analyses are warranted.

Paradoxical relationship between body mass index and bone mineral density in patients with non-small cell lung cancer with brain metastasis

Background and purpose

Low body mass index (BMI) at presentation has been reported to be associated with higher incidence and mortality of lung cancer, but studies on the relationship between brain metastasis and BMI at presentation are lacking. This study aimed to evaluate the association between brain metastasis and BMI and bone mineral density (BMD) in NSCLC.

Methods

We retrospectively enrolled patients with non–small cell lung cancer who underwent brain magnetic resonance imaging with contrast within 3 months of diagnosis. The BMI was collected, and the BMD was measured in Hounsfield unit (HU) on initial staging computed tomography scans. The independent relationship between BMI and BMD was assessed using multivariable linear regression according to the presence of brain metastasis.

Results

A total of 356 consecutive NSCLC patients were enrolled in the study over a 8-year period in a single institution. Lower BMI with higher BMD was an independent predictive factor for brain metastasis in patients with NSCLC, relative to the other group (HR, 2.03; 95% CI, 1.21 to 3.40; P = 0.007). We also found a significant negative correlation between BMI and BMD among patients with NSCLC with brain metastases (B, -3.343; 95% confidence interval, -6.352 to -0.333; P = 0.030).

Conclusions

Brain metastasis may possibly be associated with lower BMI and higher BMD in NSCLC patients. We expect that these results may facilitate future predictions of brain metastases during the clinical course of NSCLC and enhance our understanding of the underlying mechanisms that link brain metastases and lung cancer.

The prognostic value of multiorgan metastases in patients with non-small cell lung cancer and its variants: a SEER-based study

PURPOSE

This study aimed to investigate the prognostic value of different organs metastases in patients with non-small cell lung cancer (NSCLC) and its most common subtypes.

METHODS

We identified 45,423 NSCLC cases (25,129 men and 20,294 women) between 2010 and 2013 with distant metastases, with complete clinical information obtained from the surveillance, epidemiology, and end results (SEER) database.

RESULTS

Bone and liver were the most and the least common metastatic sites with rates of 37.1 and 16.8%, respectively. The mortality rates associated with bone, brain, liver, lung metastases, and multiorgan metastases (MOM) were 73.2, 72.7, 78.3, 65.4, and 77.5%, respectively. Kaplan-Meier analyses demonstrated that patients with MOM and liver metastasis had the worst survival. Compared with NSCLC cases with other organ metastasis, but without the four organs metastasis, hazard ratios (HRs) for lung, bone, brain, and liver metastases, and MOM were 0.906 (95% CI 0.866-0.947), 1.276 (95% CI 1.225-1.330), 1.318 (95% CI 1.260-1.379), 1.481 (95% CI 1.388-1.580), and 1.647 (95% CI 1.587-1.709), respectively. Similar results were obtained for adenocarcinoma (AD) cases.

CONCLUSIONS

The mortality risk is highest with MOM and liver metastasis followed by bone, brain, other organ, and lung metastases in NSCLC and AD which is the most common variant for NSCLC. These results will be helpful for pre-treatment evaluation regarding the prognosis of NSCLC patients.

Non-small-cell Lung Cancer With Brain Metastasis at Presentation

BACKGROUND

Data on the prevalence of brain metastases at presentation in patients with non-small-cell lung cancer (NSCLC) are limited. We queried the National Cancer Data Base to determine prevalence, clinical risk factors, and outcomes of patients with NSCLC presenting with brain metastases.

PATIENTS AND METHODS

Patients with NSCLC diagnosed between 2010 and 2012 were identified using the National Cancer Data Base. The risk of brain metastases for individual variables was summarized by odds ratios and calculated using logistic regression analysis. The Kaplan-Meier product limit method was used to calculate the median and 1-, 2-, and 3-year overall survival (OS).

RESULTS

Brain metastases were observed in 47,546 (10.4%) of the 457,481 patients with NSCLC overall. The prevalence of brain metastases was much higher (26%) in patients with stage IV disease at presentation. On multivariate analysis, younger age, adenocarcinoma or large cell histology, tumor size > 3 cm, tumor grade ≥ II, and node-positive disease were associated with brain metastases. The prevalence of brain metastases ranged from as low as 0.57% in patients with only 1 risk factor to as high as 22% in patients with all 5 risk factors. The median and 1-, 2-, and 3-year OS for patients with brain metastases were 6 months and 29.9%, 14.3%, and 8.4%, respectively, with the 3-year OS increasing to 36.2% in those with T1/2 and N0/1 undergoing surgery for the primary site.

CONCLUSIONS

In patients with NSCLC, the risk of brain metastases at presentation may be calculated based on 5 clinical variables. Selected patients with brain metastases at presentation may achieve prolonged benefit.

Prognostic effect of liver metastasis in lung cancer patients with distant metastasis

Because the need of clinical prognostic evaluation by specific metastatic organ, we aim to analyze the prognostic factors in lung cancer patients with M1b disease with Surveillance Epidemiology and End-Results database (SEER). This retrospective study evaluated lung cancer patients of adenocarcinoma (AD), squamous cell carcinoma (SQCC), and small cell lung cancer (SCLC) selected from SEER. We provided the prognostic correlates of overall survival (OS) and lung cancer-specific survival (LCSS) in this population. 23,679 eligible patients were included. Bone was the most common metastatic site in AD (63.1%) and SQCC (61.1%), while liver was the most prevalent site (61.9%) in SCLC. Single site metastasis was significantly associated with better outcome compared to multiple sites metastases in all patients. Among patients with single site metastasis, OS and LCSS were longer for AD and SCLC if involving brain or bone, with median survival time of 5 to 7 months, comparing to 3 months if invloving liver (all p-values < 0.001). Similarly, among patients with multiple metastases, better outcomes were observed in AD patients (4 vs 3 months; OS and LCSS, p < 0.001) and SCLC patients (6 vs 4 months; OS, p = 0.017; LCSS, p = 0.023) without liver metastasis compared to those with liver metastasis. In conclusion, we estimated multiple survival outcomes by histology of primary tumor and sites of metastasis. Liver metastasis is found to be the worst prognostic factor for AD and SCLC patients with distant metastasis. More in-depth research is warranted to identify patients who are prone to develop distance metastasis, especially to liver.

Validation of the Disease-Specific GPA for Patients With 1 to 3 Synchronous Brain Metastases in Newly Diagnosed NSCLC

BACKGROUND

The disease-specific graded prognostic assessment (DS-GPA) for brain metastases is a powerful prognostic tool but has not been validated for patients with synchronous brain metastases (SBM) in newly diagnosed non-small-cell lung cancer (NSCLC).

PATIENTS AND METHODS

We identified patients with newly diagnosed NSCLC with 1 to 3 SBM treated with stereotactic radiosurgery (SRS) between 1997 and 2012. We included patients whose brain metastases were treated with SRS alone or combined SRS and whole-brain radiotherapy (WBRT). Patients were stratified according to NSCLC DS-GPA to evaluate the accuracy of survival estimates.

RESULTS

One hundred sixty-four patients were treated with either SRS alone (n = 85; 52%) or SRS and WBRT (n = 79; 48%). Median overall survival (OS) stratified according to DS-GPA of 0 to 1, 1.5 to 2, 2.5 to 3, and 3.5 to 4 were 2.8, 6.7, 9.8, and 13.2 months, respectively, consistent with OS reported for brain metastases in NSCLC DS-GPA (3.0, 6.5, 11.3, and 14.8 months, respectively). No difference in median progression-free survival or OS was noted with combined use of SRS and WBRT: 6.0 versus 6.1 months (P = .81) and 8.5 versus 9.1 months (P = .093), respectively. In multivariable analysis, Karnofsky performance status (hazard ratio [HR], 0.98; P = .008), extracranial metastases (HR, 0.498; P = .0003), squamous histology (HR, 1.81; P = .02), and number of brain metastases (2 vs. 1; HR, 1.504; P = .04, and 3 vs. 1; HR, 1.66; P = .05) were significant predictors of OS.

CONCLUSION

The DS-GPA accurately estimates the prognosis of patients with SBM in newly diagnosed NSCLC. Patients with synchronous brain metastasis in newly diagnosed NSCLC should be carefully stratified for consideration of aggressive therapy.

Systemic Treatment of Brain Metastases

Lung cancer continues to be the leading cause of cancer-related mortality in the United States. Brain metastases are a significant problem in patients with lung cancer and have conventionally been treated with whole-brain radiation. This article reviews the data for systemic chemotherapy to treat brain metastasis from lung cancer and examines the activity of small molecule tyrosine kinase inhibitors for the targeted therapy for brain metastases from EGFR-mutant and ALK-rearranged non-small cell lung cancer. Future directions for evaluating the role of immunotherapy in treating brain metastasis are also discussed.