The 7th lung cancer TNM classification and staging system: Review of the changes and implications

Trends and comparative outcomes between operative approaches for segmentectomy in lung cancer

BACKGROUND

Segmentectomy is increasingly performed for non-small cell lung cancer. However, comparative outcomes data among open, robotic-assisted, and video-assisted thoracoscopic approaches are limited.

METHODS

A retrospective cohort study of non-small cell lung cancer segmentectomy cases (2013-2021) from the Society of Thoracic Surgeons General Thoracic Surgery Database was performed. Baseline characteristics were balanced using inverse probability of treatment weighting and compared by operative approach. Volume trends, outcomes, and nodal upstaging were assessed.

RESULTS

Of 9927 patients who underwent segmentectomy, 84.8% underwent minimally invasive surgery, with robotic-assisted thoracoscopic surgery becoming the most common approach in 2019. Open segmentectomy is more likely to be performed at low-volume centers (P < .0001), whereas robotic-assisted thoracoscopic surgery is more likely to be performed at high-volume centers (P < .0001). Video-assisted thoracoscopic surgery had a higher open conversion rate than robotic-assisted thoracoscopic surgery (odds ratio, 11.8; CI, 7.01-21.6; P < .001). Minimally invasive surgery had less 30-day morbidity compared with open segmentectomy (video-assisted thoracoscopic surgery odds ratio, 0.71; 95% CI, 0.55-0.94; P = .013; robotic-assisted thoracoscopic surgery odds ratio, 0.59; CI, 0.43-0.81; P = .001). The number of nodes and stations harvested were highest for robotic-assisted thoracoscopic surgery; however, N1 upstaging was more likely in open compared with robotic-assisted thoracoscopic surgery (odds ratio, 0.63; CI, 0.45-0.89; P < .007) and video-assisted thoracoscopic surgery (odds ratio, 0.61; CI, 0.46-0.83; P = .001).

CONCLUSIONS

Segmentectomy volume has increased considerably, with robotic-assisted thoracoscopic surgery becoming the most common approach. Minimally invasive surgery has less major morbidity compared with open segmentectomy, with no difference between video-assisted thoracoscopic surgery and robotic-assisted thoracoscopic surgery. However, risk of open conversion is higher with video-assisted thoracoscopic surgery. Robotic-assisted thoracoscopic surgery had increased nodal harvest, whereas hilar nodal upstaging was highest with thoracotomy. This study reveals significant differences in outcomes exist between segmentectomy operative approach; the impact of approach on survival merits further investigation.

Overall Staging Prediction for Non-Small Cell Lung Cancer (NSCLC): A Local Pilot Study with Artificial Neural Network Approach

BACKGROUND

Non-small cell lung cancer (NSCLC) has been the most common cancer globally in the recent decade. CT is the most common imaging modality for the initial diagnosis of NSCLC. The gold standard for definitive diagnosis is the histological evaluation of a biopsy or surgical sample, which usually requires a long processing time for the confirmation of diagnosis. This study aims to develop artificial intelligence models to predict overall staging based on patient demographics and radiomics retrieved from the initial CT images, so as to prioritize later-stage patients for histology evaluation to facilitate cancer diagnosis.

METHOD

Two cohorts of NSCLC patient datasets were utilized for this study. The NSCLC-radiomics dataset from The Cancer Imaging Archive (TCIA) was divided into 70% for the training group and 30% for the internal testing group. Another cohort from a local hospital was collected for the an external testing group. Patient demographics and 107 radiomic features were retrieved from the gross tumor volume delineated by clinical oncologists on CT images. Artificial neural networks were used to build models for NSCLC overall staging (stage I, II, or III) prediction. Four traditional classifiers were also adopted to build models for comparison.

RESULT

The proposed feed-forward neural network (FFNN) model showed good performance in predicting overall staging with an accuracy of 88.84%, 76.67%, and 74.52% in overall accuracies in validation, internal cohort testing, and external cohort testing, respectively. The sensitivity and specificity are balanced in all the stages, with average precision and F1 score in each of the stages.

CONCLUSION

The FFNN demonstrated good performance in overall staging prediction for NSCLC patients. It has the benefit of predicting multiple overall stages in a single model. The software required and the proposed model are simple. It can be operated on a general-purpose computer in the radiology department. The application will eventually be used as a prediction tool to prioritize the biopsy or surgery sample for histological analysis and molecular investigation, thus shortening the time for diagnosis by pathologists, which supports the triage of patients for further testing.

Clinical significance of CD155 expression in surgically resected lung squamous cell carcinoma

BACKGROUND

Cluster of differentiation 155 (CD155) is expressed in many tumor types. CD155 is involved in the immune avoidance of tumor cells and contributes to tumor development and progression. Therefore, CD155 is a novel target for cancer immunotherapy. The clinical significance of CD155 expression in lung squamous cell carcinoma (LUSC) has not been fully elucidated.

MATERIALS AND METHODS

We performed a retrospective analysis of 264 patients with surgically resected LUSC. Immunohistochemistry was used to evaluate CD155 expression. The association of CD155 expression with clinicopathological features and clinical outcomes was assessed. We also analyzed the relationship between CD155 expression and programmed cell death-ligand 1 (PD-L1) expression and tumor-infiltrating lymphocytes.

RESULTS

Among the 264 patients, 137 patients (51.9%) were classified in the high CD155 expression group. High CD155 expression was significantly associated with pleural invasion, vascular invasion, PD-L1 positivity, and high CD3, CD4, and CD8 expressions. In multivariate analysis, the presence of pleural invasion and PD-L1 positivity were independent predictors of high CD155 expression. Kaplan-Meier curve analysis showed that high CD155 expression was significantly associated with shorter disease-free survival and overall survival. In multivariate analysis, high CD155 expression was an independent poor prognostic factor for overall survival, but not for disease-free survival. Subgroup analyses revealed that the prognostic effect of CD155 expression was observed in the PD-L1 positive group but not the PD-L1 negative group.

CONCLUSION

Our analysis revealed that high CD155 expression significantly predicted poor prognosis in patients with surgically resected LUSC, especially in patients with PD-L1-positive tumors.

Surgery for Patients With cT3/4N2M0, Stage IIIB NSCLC. Is It Time to Redefine Resectability?

Introduction

Chemoradiation followed by durvalumab is considered a standard approach for patients with locally advanced NSCLC. With improvements in perioperative and neoadjuvant approaches, there is renewed interest in offering surgery to carefully selected patients with cT3/4N2 stage IIIB cancer. We sought to assess survival outcomes after surgery as part of a multimodality treatment regimen for these patients.

Methods

Patients with cT3/T4N2M0 NSCLC who received surgery (S) as part of a multimodality approach and patients receiving multimodality treatment without surgery (chemoradiation [CRT] or systemic therapy only) were identified in the National Cancer Database (2010-2019). We evaluated factors associated with the receipt of S (logistic regression). After propensity matching, we estimated the overall survival (OS) of patients who received S and compared with those who received CRT (Kaplan-Meier and Cox regression).

Results

A total of 44,756 patients were identified, of whom 3928 (8.8%) underwent S, 29,798 (66.6%) CRT, and 11,030 (24.6%) systemic therapy only. Fewer comorbidities (Charlson-Deyo index 0 or 1, adjusted OR [aOR]: 1.22, 95% confidence interval [CI]: 1.05-1.42), treatment at an academic facility (aOR: 1.70, 95% CI: 1.52-1.89), private insurance (aOR: 2.44, 95% CI: 1.61-3.69), adenocarcinoma histology (aOR: 1.48, 95% CI: 1.22-1.79), and clinical T3 stage (<7 cm, aOR: 1.70, 95% CI: 1.53-1.89) were associated with S. In well-balanced, propensity-matched cohorts, patients selected for S had better OS compared with those who underwent CRT (hazard ratio 0.59, 95% CI: 0.56-0.63, p < 0.001) (median OS 49.7 versus 25.0 mo).

Conclusions

In this retrospective cohort analysis, patients with cT3/4N2, stage IIIB NSCLC who underwent surgical resection had better OS compared with those patients treated with CRT. Careful patient selection is undoubtedly critical, but stage IIIB designation alone should not exclude patients from surgical consideration.

Epidermal growth factor receptor and programmed cell death-1 expression levels in peripheral T cell subsets of patients with non-small cell lung cancer

Lung cancer is the leading cause of cancer-related deaths, in part due to its late diagnosis. Increased epidermal growth factor receptor (EGFR) expression in cancer cells is associated with a poor prognosis, and EGFR tyrosine kinase inhibitors are widely used in cancer treatment. This study aimed to clarify the relationship between EGFR expression on T cells and cancer prognosis in patients with non-small cell lung cancer (NSCLC). Forty patients with NSCLC and 40 healthy volunteers were included in this study. Peripheral CD4+T helper (Th1, Th2, Th9, Th17, Th1Th17, follicular and peripheral Th) and cytotoxic T lymphocyte (CD8+follicular and peripheral T) subsets were identified with flow cytometry according to their chemokine receptors. EGFR expression on T lymphocytes in relation to overall survival (OS) was investigated in patients with NSCLC. The patients [mean age (min-max) = 64.03 (45-83); 20 stage I-III and 20 stage IV] had increased EGFR expression on CD3+T, CD4+Th, Th1, Th2, and Th17 cells compared to the controls (p < 0.05). High EGFR expression on CD3+T, CD4+Th, Th1, and Th2 cells was associated with poor OS. Also, PD-1 expression on lymphocytes, CD3+T, and Th cells was increased in patients with NSCLC compared to controls. The high expression of EGFR and PD-1 on Th cells and the reduced percentage of lymphocytes and Th cells, especially in stage IV patients with NSCLC, revealed that increased EGFR activity may trigger apoptosis of Th cells and promote the development of metastases, while high EGFR expression on CD3+T, CD4+Th, Th1, and Th2 cells may be an independent poor prognostic marker in NSCLC.

Combination of microwave ablation and systemic treatments achieve a long survival time for a patient with metachronous advanced double primary lung and colon adenocarcinoma: A case report

Despite significant improvements that have been made in terms of progression-free survival and overall survival rates brought about by targeted therapy in non-small cell lung cancer (NSCLC), the emergence of drug resistance remains a limiting factor. However, a previous study has shown promising results by combining local microwave ablation (MWA) with epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) therapy for patients with oligometastatic NSCLC. The current study presented the case of a Chinese female patient who was identified as having lung adenocarcinoma (LADC) with EGFR exon 19 deletions (Del) in January 2014, and who experienced multiple instances of oligoprogression but showed a positive response to a combination of chemotherapy, MWA and a TKI drug. First, the patient was treated with four cycles of chemotherapy (120 mg docetaxel on day 1 and 40 mg cisplatin on days 1, 2 and 3; every three weeks as one cycle) and gefitinib (Iressa; 250 mg/day), maintaining a partial response for 17 months. In August 2015, a new solitary lesion was identified in the right lung and erlotinib (Tarceva; 150 mg/day) was administered for 3 months thereafter. In response, the patient underwent ablation of both the new right lung lesion and the primary left lung lesion in January 2016. Subsequently, a treatment course consisting of six cycles of chemotherapy (0.8 g pemetrexed on day 1 and 70 mg nedaplatin on days 1 and 2; every three weeks as one cycle) resulted in stable disease. In May 2016, the patient began treatment with osimertinib (AZD9291; 80 mg/day), resulting in a rapid shrinkage of the mediastinal lymph node after one month, which has been providing a benefit for the patient for 82 months and counting. Of note, the patient also developed metachronous colon cancer in January 2020, followed by the identification of right posterior liver metastases in February 2020 and lung metastases in May 2021 and in February 2022. To address this, the patient underwent radical resection of colon cancer and liver metastasectomy and received a combination of chemotherapy with bevacizumab, along with MWA for lung metastases. Remarkably, the patient has achieved long-term survival of 110 months. In conclusion, this case highlights the promising potential of combining MWA with systemic therapy for a patient with advanced LADC harboring EGFR exon 19 Del and metachronous lung and liver-metastasized colon adenocarcinoma. MWA effectively controlled both in situ oligoprogression and new oligoprogression, thereby enhancing the efficacy of systematic chemotherapy/TKI therapy. Furthermore, this case report emphasizes the importance of repeated histologic biopsies and genetic testing as reliable indicators for adjusting treatment regimens. Physicians should also remain vigilant regarding the occurrence of secondary primary carcinomas, and timely and accurate adjustments to treatment plans will be of significant benefit to patients in terms of treatment efficacy and overall quality of life.

Population based study on the progress in survival of primarily metastatic lung cancer patients in Germany

Lung cancer is known for its high mortality; many patients already present with metastases at the time of diagnosis. The aim of this study is to assess the impact of new treatment strategies on the survival of primarily metastatic lung cancer patients and to analyze the differences in outcomes between non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) patients. Population-based data, provided by the Robert-Koch Institute in Germany, was used and patients diagnosed between 2007 and 2018 were included in the study. We differentiated between NSCLC and SCLC patients and analyzed the survival over time for both sexes separately, using the Kaplan-Meier method. To evaluate survival advantages, we calculated multivariable hazard ratios. In total, 127,723 patients were considered for the study. We observed a moderate increase in survival over time. All patients showed an increased survival rate when undergoing chemotherapy. Minimal to no increase in survival was shown in NSCLC patients when receiving radiotherapy, whereas SCLC patients' survival time did benefit from it. NSCLC patients receiving immunotherapy showed an increase in survival as well. It can be concluded that advancements in radiotherapy, the application of chemotherapy, and the introduction of immunotherapies lead to an increased survival time of both NSCLC and SCLC primarily metastatic lung cancer patients.

Evaluation of the performance of both machine learning models using PET and CT radiomics for predicting recurrence following lung stereotactic body radiation therapy: A single-institutional study

PURPOSE

Predicting recurrence following stereotactic body radiotherapy (SBRT) for non-small cell lung cancer provides important information for the feasibility of the individualized radiotherapy and allows to select the appropriate treatment strategy based on the risk of recurrence. In this study, we evaluated the performance of both machine learning models using positron emission tomography (PET) and computed tomography (CT) radiomic features for predicting recurrence after SBRT.

METHODS

Planning CT and PET images of 82 non-small cell lung cancer patients who performed SBRT at our hospital were used. First, tumors were delineated on each CT and PET of each patient, and 111 unique radiomic features were extracted, respectively. Next, the 10 features were selected using three different feature selection algorithms, respectively. Recurrence prediction models based on the selected features and four different machine learning algorithms were developed, respectively. Finally, we compared the predictive performance of each model for each recurrence pattern using the mean area under the curve (AUC) calculated following the 0.632+ bootstrap method.

RESULTS

The highest performance for local recurrence, regional lymph node metastasis, and distant metastasis were observed in models using Support vector machine with PET features (mean AUC = 0.646), Naive Bayes with PET features (mean AUC = 0.611), and Support vector machine with CT features (mean AUC = 0.645), respectively.

CONCLUSIONS

We comprehensively evaluated the performance of prediction model developed for recurrence following SBRT. The model in this study would provide information to predict the recurrence pattern and assist in making treatment strategies.

Identification of protein biomarkers for prediction of response to platinum-based treatment regimens in patients with non-small cell lung cancer

The majority of patients with resected stage II-IIIA non-small cell lung cancer (NSCLC) are treated with platinum-based adjuvant chemotherapy (ACT) in a one-size-fits-all approach. However, a significant number of patients do not derive clinical benefit, and no predictive patient selection biomarker is currently available. Using mass spectrometry-based proteomics, we have profiled tumour resection material of 2 independent, multi-centre cohorts of in total 67 patients with NSCLC who underwent ACT. Unsupervised cluster analysis of both cohorts revealed a poor response/survival sub-cluster composed of ~ 25% of the patients, that displayed a strong epithelial-mesenchymal transition signature and stromal phenotype. Beyond this stromal sub-population, we identified and validated platinum response prediction biomarker candidates involved in pathways relevant to the mechanism of action of platinum drugs, such as DNA damage repair, as well as less anticipated processes such as those related to the regulation of actin cytoskeleton. Integration with pre-clinical proteomics data supported a role for several of these candidate proteins in platinum response prediction. Validation of one of the candidates (HMGB1) in a third independent patient cohort using immunohistochemistry highlights the potential of translating these proteomics results to clinical practice.

Human Papillomavirus Is Rare and Does Not Correlate with p16INK4A Expression in Non-Small-Cell Lung Cancer in a Jordanian Subpopulation

Background and Objectives: Human papillomavirus (HPV) was previously investigated in lung cancer with wide inter-geographic discrepancies. p16INK4a has been used as a surrogate for detecting high-risk HPV (HR-HPV) in some cancer types. This study assessed the evidence of HPV in non-small-cell lung cancer (NSCLC) among Jordanian patients, investigated the expression of p16INK4a, and evaluated its prognostic value and association with HPV status. Materials and Methods: The archived samples of 100 patients were used. HPV DNA detection was performed by real-time polymerase chain reaction (RT-PCR). p16INK4a expression was assessed by immunohistochemistry (IHC). The Eighth American Joint Committee on Cancer protocol (AJCC) of head and neck cancer criteria were applied to evaluate p16INK4a positivity considering a moderate/strong nuclear/cytoplasmic expression intensity with a distribution in ≥75% of cells as positive. Results: HPV DNA was detected in 5% of NSCLC cases. Three positive cases showed HR-HPV subtypes (16, 18, 52), and two cases showed the probable HR-HPV 26 subtype. p16INK4a expression was positive in 20 (20%) NSCLC cases. None of the HPV-positive tumors were positive for p16INK4a expression. A statistically significant association was identified between p16INK4a expression and the pathological stage (p = 0.029) but not with other variables. No survival impact of p16INK4a expression was detected in NSCLC cases as a group; however, it showed a statistically significant association with overall survival (OS) in squamous cell carcinoma (SqCC) cases (p = 0.033). Conclusions: This is the first study to assess HPV and p16INK4a expression in a Jordanian population. HPV positivity is rare in NSCLC among a Jordanian subpopulation. P16 INK4a reliability as a surrogate marker for HPV infection in lung cancer must be revisited.

Lessons from ADAURA: Can we improve on a positive trial?

Although ADAURA (ClinicalTrials.gov identifier NCT02511106) was a positive trial that produced a significant improvement in both disease‐free survival and overall survival, the limited crossover to postprotocol osimertinib and some other methodological issues detract from the cancer community’s ability to distinguish the benefits of timing of osimertinib versus overall access to osimertinib at a later point. Discrete refinements can be applied to global, randomized phase 3 trials to ensure their design optimally addresses the key clinical question while reducing disparities in best management practices based on resources across health care systems.

Rapid Advances in Resectable Non-Small Cell Lung Cancer: A Narrative Review

Importance

A series of high-profile clinical trials for patients with resectable early-stage non-small cell lung cancer (NSCLC) have recently changed the standard of care in this setting. Specifically, studies have demonstrated statistically and clinically significant improvements in efficacy with the targeted therapy for adjuvant osimertinib in patients with resected NSCLC harboring an epidermal growth factor receptor (EGFR) genomic abnormality (GA), whereas trials with chemotherapy combined with nivolumab in the neoadjuvant setting and others testing atezolizumab or pembrolizumab as adjuvant therapy have all demonstrated improvements in event-free survival (EFS) (for neoadjuvant therapy) or disease-free survival (DFS) (for adjuvant therapy). These trials introduce many open questions about how to apply these findings in clinical practice.

Observations

Treatment with adjuvant osimertinib for 3 years was associated with significant improvement in both DFS and overall survival (OS), but the erosion of the DFS benefit after the duration of treatment ends suggests a potential value for more longitudinal treatment. The potential value of highly effective targeted therapies as adjuvant therapy for other GAs has a compelling rationale but no data at this time. Adjuvant atezolizumab or pembrolizumab, generally administered for 1 year after postoperative chemotherapy, are appropriate considerations, but only atezolizumab for patients with tumor programmed death-ligand 1 (PD-L1) levels of 50% has demonstrated a benefit in OS. Neoadjuvant chemotherapy with nivolumab offers a strong EFS benefit, a shorter interval of treatment, and radiographic and pathologic feedback for patients with resectable stage IB to IIIA NSCLC, although very recent randomized clinical trials of perioperative immunotherapy both combined with chemotherapy preoperatively and administered postoperatively highlight the debatable value of adjuvant immunotherapy after prior chemoimmunotherapy. Improved tumor shrinkage rates with neoadjuvant chemoimmunotherapy suggest the possibility that criteria for resectability may potentially be redefined in anticipation of a good response to neoadjuvant chemoimmunotherapy.

Conclusions and Relevance

Developments in resectable NSCLC have arrived so rapidly that they have also created practical challenges of identifying optimal patients and prioritizing options among these new competing standards. In some cases, practical management requires clinical judgment and discussion with the patient to cover the gaps in prospective data. Caution should be exerted when extrapolating beyond the available data.

Inhaled medications for chronic obstructive pulmonary disease predict surgical complications and survival in stage I non-small cell lung cancer

Background

Lung function is routinely assessed prior to surgical resection for non-small cell lung cancer (NSCLC). Further assessment of chronic obstructive pulmonary disease (COPD) using inhaled COPD medications to determine disease severity, a readily available metric of disease burden, may predict postoperative outcomes and overall survival (OS) in lung cancer patients undergoing surgery.

Methods

We retrospectively evaluated clinical stage I NSCLC patients receiving surgical treatment within the Veterans Health Administration from 2006-2016 to determine the relationship between number and type of inhaled COPD medications (short- and long-acting beta2-agonists, muscarinic antagonists, or corticosteroids prescribed within 1 year before surgery) and postoperative outcomes including OS using multivariable models. We also assessed the relationship between inhaled COPD medications, disease severity [measured by forced expiratory volume in 1 second (FEV1)], and diagnosis of COPD.

Results

Among 9,741 veterans undergoing surgery for clinical stage I NSCLC, patients with COPD were more likely to be prescribed inhaled medications than those without COPD [odds ratio (OR) =5.367, 95% confidence interval (CI): 4.886-5.896]. Increased severity of COPD was associated with increased number of prescribed inhaled COPD medications (P<0.0001). The number of inhaled COPD medications was associated with prolonged hospital stay [adjusted OR (aOR) =1.119, 95% CI: 1.076-1.165), more major complications (aOR =1.117, 95% CI: 1.074-1.163), increased 90-day mortality (aOR =1.088, 95% CI: 1.013-1.170), and decreased OS [adjusted hazard ratio (aHR) =1.061, 95% CI: 1.042-1.080]. In patients with FEV1 ≥80% predicted, greater number of prescribed inhaled COPD medications was associated with increased 30-day mortality (aOR =1.265, 95% CI: 1.062-1.505), prolonged hospital stay (aOR =1.130, 95% CI: 1.051-1.216), more major complications (aOR =1.147, 95% CI: 1.064-1.235), and decreased OS (aHR =1.058, 95% CI: 1.022-1.095). When adjusting for other drug classes and covariables, short-acting beta2-agonists were associated with increased 90-day mortality (aOR =1.527, 95% CI: 1.120-2.083) and decreased OS (aHR =1.087, 95% CI: 1.005-1.177).

Conclusions

In patients with early-stage NSCLC, inhaled COPD medications prescribed prior to surgery were associated with both short- and long-term outcomes, including in patients with FEV1 ≥80% predicted. Routine assessment of COPD medications may be a simple method to quantify operative risk in early-stage NSCLC patients.

Improved overall survival for Stage III NSCLC patients treated with curative-intended therapy from 2010 to 2018-a cohort study in Denmark

BACKGROUND

Despite advances in treatment strategies and improved clinical outcomes, an unmet need remains for NSCLC patients. With an increased real-world knowledge of NSCLC, clinicians could offer patients optimal tailored treatment and disease management. In this retrospective cohort study, we describe patient characteristics, treatment patterns and modality, and survival in NSCLC patients diagnosed and treated at Aarhus University Hospital, Denmark.

METHODS

Data on Stage III NSCLC patients aged ≥18 years diagnosed 2010-2018 were obtained from a regional cancer database and linked to national registries for information on socioeconomic and vital status. Patients were stratified by planned treatment intention at diagnosis (curative/palliative). Treatment patterns and overall survival (OS) were estimated using time-to-event methods.

RESULTS

Broad patient and diseases characteristics and multiple treatment options demonstrated the heterogeneity of this patient cohort. Of 851 Stage III NSCLC patients, 599 (70%) and 252 (30%) were offered curative- and palliative-intended treatment, respectively, upon evaluation by a multidisciplinary team (MDT). The most frequent treatment modalities were CRT (n = 328; 55%) and RT (n = 97; 38%) in the curative and palliative setting, respectively. Age, disease stage, performance status and comorbidity were associated with curative-intended treatment initiation. Curative-intended treatment was associated with an improved OS of 14.6 months (median OS 24.4 months, 95% CI 21.1-27.6). Being offered curative-intended treatment and/or being diagnosed in the more contemporary study period (2016-2018) were significantly correlated with better OS (p < 0.001).

CONCLUSION

Stage III NSCLC is a heterogeneous disease as regards patient and clinical characteristics, multiple treatment options, and outcomes. Age, disease staging, performance status, and comorbidity, as well as MDT evaluation and matching treatment intent, are important determinants of curative-intended treatment. Notably, an NSCLC diagnosis in the more contemporary study period was statistically significantly associated with better OS.

The Comparison of Serum Exosome Protein Profile in Diagnosis of NSCLC Patients

A thorough study of the exosomal proteomic cargo may enable the identification of proteins that play an important role in cancer development. The aim of this study was to compare the protein profiles of the serum exosomes derived from non-small lung cancer (NSCLC) patients and healthy volunteers (control) using the high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS) method to identify potentially new diagnostic and/or prognostic protein biomarkers. Proteins exclusively identified in NSCLC and control groups were analyzed using several bioinformatic tools and platforms (FunRich, Vesiclepedia, STRING, and TIMER2.0) to find key protein hubs involved in NSCLC progression and the acquisition of metastatic potential. This analysis revealed 150 NSCLC proteins, which are significantly involved in osmoregulation, cell-cell adhesion, cell motility, and differentiation. Among them, 3 proteins: Interleukin-34 (IL-34), HLA class II histocompatibility antigen, DM alpha chain (HLA-DMA), and HLA class II histocompatibility antigen, DO beta chain (HLA-DOB) were shown to be significantly involved in the cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs) infiltration processes. Additionally, detected proteins were analyzed according to the presence of lymph node metastasis, showing that differences in frequency of detection of protein FAM166B, killer cell immunoglobulin-like receptor 2DL1, and olfactory receptor 52R1 correlate with the N feature according to the TNM Classification of Malignant Tumors. These results prove their involvement in NSCLC lymph node spread and metastasis. However, this study requires further investigation.

A three-year review of lung cancer patient characteristics in a tertiary hospital

Objective

The study sought to determine clinical characteristics and histologic subtypes of a cohort of lung cancer patients in a tertiary facility.

Design

Retrospective review of the medical records of histology-confirmed lung cancer cases at the respiratory clinic over a 3-year period.

Setting

Respiratory Clinic, Korle-Bu Teaching Hospital, Accra, Ghana.

Participants

All adult patients with histologically diagnosed lung cancer were enrolled.

Main outcome measures

Lung cancer histological types.

Results

The proportion of lung cancer cases was 12.4%. The majority were women (57.8%) and the mean age at diagnosis was 55.8±16.0 years. The patients were predominantly non-smokers (61%). Common symptoms were chronic cough and chest pain. More than two-thirds of the cases presented in clinical stages III and IV with the predominant histological subtype being adenocarcinoma in smokers and non-smokers. Genetic testing for epidermal growth factor receptor (EGFR) and Anaplastic Lymphoma kinase (ALK) mutations were largely absent.

Conclusions

The majority of lung cancer patients presented late with advanced disease. Adenocarcinoma was the predominant histological subtype in a predominantly non-smoking population, with an increased prevalence among women less than 60 years. This should encourage testing for genetic mutations to improve patient survival.

Funding

None declared.

Association Between Demographic and Socioeconomic Factors and Diagnosis of Advanced Non-small Cell Lung Cancer: An Analysis of the National Cancer Database

Introduction Lung cancer is a prevalent and potentially lethal cancer. The stage at initial presentation for diagnosis predicts mortality and helps to guide treatment options. Thus, it is critical to determine what factors impact the stage of cancer at diagnosis. This study sought to determine if certain socioeconomic and demographic factors are associated with receiving an early (Stage 0-I) or advanced (Stage IV) diagnosis of non-small cell lung cancer (NSCLC). Methods Using the National Cancer Database (NCDB), 1,149,539 patients were identified as having an NCDB Analytic Stage Group diagnosis of Stage 0-I (early) versus Stage IV (advanced) NSCLC between 2004 and 2018. Patients with early and delayed diagnoses were compared based on specific characteristics including sex, race, ethnicity, number of comorbid conditions, insurance status, median annual income, level of education, geographic location, and reporting facility. Using IBM SPSS Statistics for Windows, Version 28 (Released 2021; IBM Corp., Armonk, New York, United States), the data underwent analysis using binary multivariate logistic regression, chi-square analyses, and one-way ANOVA. Results Factors associated with an advanced diagnosis of NSCLC include being male, Black, Native American, or Hispanic. Compared to patients with at least one comorbid condition, those without comorbid conditions are more likely to present with advanced disease. Patients with private insurance, Medicaid, Medicare, or other government insurance are all less likely to present with advanced-stage cancer than patients without insurance. Compared to patients in the lowest median household income quartile, those in the second and fourth quartiles are diagnosed earlier. Patients living in areas where a higher proportion of residents lack a high school diploma are more likely to present with advanced NSCLC. Additionally, living in the Midwest and Western United States and presenting to Community Cancer programs are associated with advanced disease at initial presentation. Conclusions Factors that were associated with the advanced presentation of NSCLC included being male, Black, Native American, or Hispanic, having a lack of comorbid conditions or insurance, earning a lower median annual income, and living in a zip code where a higher proportion of residents lack a high school diploma. Additionally, residing in the Midwest and Western United States and seeking care at Community Cancer programs were associated with advanced disease at initial presentation. Understanding that certain socioeconomic and demographic factors impact the stage at initial diagnosis of NSCLC can allow for targeted intervention strategies aimed at the most at-risk individuals, areas, and facilities.

Prevalence and clinicopathological associations of HER2 expression in non-small cell lung cancer: a retrospective study in Jordanian patients

BACKGROUND

Human epidermal growth factor receptor 2 (HER2), a promising therapeutic target, can be mutated, amplified, or overexpressed in different malignancies, including non-small cell lung cancer (NSCLC). Although these alterations showed adverse prognostic effects in many cancers, their clinical significance in NSCLC is controversial. This study primarily assessed the prevalence of HER2 protein expression in NSCLC among Jordanian patients. In addition, the possible association between HER2 protein expression and clinicopathological variables was evaluated.

METHODS

A total of 100 surgically resected NSCLC cases treated at King Hussein Cancer Center (KHCC) between 2009 and 2021 were examined for HER2 protein expression using immunohistochemistry (IHC). The American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guidelines for breast cancer were applied to interpret the results with a final score ranging from 0 to 3+, considering a score of 3 + as overexpression. Additionally, a separate subset of patients was tested for HER2 gene mutation. Fisher's exact test was used to assess the association between HER2 scores and the other variables. Kaplan-Meier method was used to calculate survival.

RESULTS

Of the 100 cases, Her2 overexpression (score 3+) was detected in 2 cases (2%), score 2 + in 10 cases (10%), score 1 + in 12 cases (12%), and score 0 in 76 cases (76%). The two positive cases were one adenocarcinoma and one squamous cell carcinoma; both patients were elderly male smokers. No significant association was identified between Her2 expression and age, gender, smoking, histological subtype, grade, stage, tumor size, and lymph node status. Our findings also showed no association between Her2 expression and survival; however, advanced tumor stages and positive lymph node metastasis were significantly associated with poor overall survival. All cases tested for the Her2 mutation were negative.

CONCLUSIONS

Her2 overexpression is uncommon in NSCLC among the Jordanian population. However, when the same scoring criteria are used, the rates are similar to other results found in Asian cohorts. Due to our study's relatively small sample size, a larger one is required to investigate the prognostic value and the molecular associations between the different Her2 alterations.

Panel of miR-150 and linc00673, regulators of CCR6/CCL20 may serve as non-invasive diagnostic marker of non-small cell lung cancer

The C-C motif ligand 20 (CCL20) is a chemokine that specifically binds to the chemokine receptor 6 (CCR6) and the CCL20/CCR6 axis has been implicated in the non-small lung cancer (NSCLC) development and progression. Its expression is regulated by mutual interactions of non-coding RNAs (ncRNAs). This goals of presented study was to evaluate the expression level of CCR6/CCL20 mRNA in NSCLC tissue comparative to selected ncRNAs: miR-150, linc00673. The expression level of the studied ncRNAs was also assessed in serum extracellular vesicles (EVs). Thirty patients (n = 30) were enrolled as the study cohort. Total RNA was isolated from tumor tissue, adjacent macroscopically unchanged tissue and serum EVs. The expression level of studied genes and ncRNAs were estimated based on the qPCR method. Higher expression level of CCL20 mRNA but lower expression level of CCR6 mRNA were observed in tumor in comparison to control tissue. Relative to the smoking status, higher CCL20 (p < 0.05) and CCR6 mRNA (p > 0.05) expression levels were observed in current smokers than in never smokers. In serum EVs the expression level of miR-150 has a negative correlation with AJCC tumor staging, whereas the expression level of linc00673 positively correlated (p > 0.05). The lower expression level of miR-150 and higher expression level of linc00673 in serum EVs were observed in NSCLC patients with lymph nodes metastases (p > 0.05). Regarding the histopathological type, significantly lower expression level of miR-150 and higher expression level of linc00673 were observed in the serum EVs of patients with AC compared to patient with SCC. Our findings revealed that smoking significantly changed the expression level of CCL20 mRNA in NSCLC tissue. Changes in expression levels of miR-150 and linc00673 in the serum EVs of NSCLC patients in relation to presence of lymph node metastases and the stage of cancer development may serve as a non-invasive molecular biomarkers of tumor progression. Furthermore, expression levels of miR-150 and linc00673 may serve as non-intrusive diagnostic biomarkers differentiating adenocarcinoma from squamous cell carcinoma.

Novel Targets, Novel Treatments: The Changing Landscape of Non-Small Cell Lung Cancer

Treatment of non-small cell lung cancer (NSCLC) has undergone a paradigm shift. Once a disease with limited potential therapies, treatment options for patients have exploded with the availability of molecular testing to direct management and targeted therapies to treat tumors with specific driver mutations. New in vitro diagnostics allow for the early and non-invasive detection of disease, and emerging in vivo imaging techniques allow for better detection and monitoring. The development of checkpoint inhibitor immunotherapy has arguably been the biggest advance in lung cancer treatment, given that the vast majority of NSCLC tumors can be treated with these therapies. Specific targeted therapies, including those against KRAS, EGFR, RTK, and others have also improved the outcomes for those individuals bearing an actionable mutation. New and emerging therapies, such as bispecific antibodies, CAR T cell therapy, and molecular targeted radiotherapy, offer promise to patients for whom none of the existing therapies have proved effective. In this review, we provide the most up-to-date survey to our knowledge regarding emerging diagnostic and therapeutic strategies for lung cancer to provide clinicians with a comprehensive reference of the options for treatment available now and those which are soon to come.

Lung Adenocarcinoma Diagnosed at a Younger Age Is Associated with Advanced Stage, Female Sex, and Ever-Smoker Status, in Patients Treated with Lung Resection

To date, the factors which affect the age at diagnosis of lung adenocarcinoma are not fully understood. In our study, we examined the relationships of age at diagnosis with smoking, pathological stage, sex, and year of diagnosis in a discovery (n = 1694) and validation (n = 1384) series of lung adenocarcinoma patients who had undergone pulmonary resection at hospitals in the Milan area and at Thoraxklinik (Heidelberg), respectively. In the discovery series, younger age at diagnosis was associated with ever-smoker status (OR = 1.5, p = 0.0035) and advanced stage (taking stage I as reference: stage III OR = 1.4, p = 0.0067; stage IV OR = 1.7, p = 0.0080), whereas older age at diagnosis was associated with male sex (OR = 0.57, p < 0.001). Analysis in the validation series confirmed the ever versus never smokers' association (OR = 2.9, p < 0.001), the association with highest stages (stage III versus stage I OR = 1.4, p = 0.0066; stage IV versus stage I OR = 2.0, p = 0.0022), and the male versus female sex association (OR = 0.78, p = 0.032). These data suggest the role of smoking in affecting the natural history of the disease. Moreover, aggressive tumours seem to have shorter latency from initiation to clinical detection. Finally, younger age at diagnosis is associated with the female sex, suggesting that hormonal status of young women confers risk to develop lung adenocarcinoma. Overall, this study provided novel findings on the mechanisms underlying age at diagnosis of lung adenocarcinoma.

Association Between Surgical Quality Metric Adherence and Overall Survival Among US Veterans With Early-Stage Non-Small Cell Lung Cancer

Importance

Surgical resection remains the preferred treatment for functionally fit patients diagnosed with early-stage non-small cell lung cancer (NSCLC). Process-based intraoperative quality metrics (QMs) are important for optimizing long-term outcomes following curative-intent resection.

Objective

To develop a practical surgical quality score for patients diagnosed with clinical stage I NSCLC who received definitive surgical treatment.

Design, Setting, and Participants

This retrospective cohort study used a uniquely compiled data set of US veterans diagnosed with clinical stage I NSCLC who received definitive surgical treatment from October 2006 through September 2016. The data were analyzed from April 1 to September 1, 2022. Based on contemporary treatment guidelines, 5 surgical QMs were defined: timely surgery, minimally invasive approach, anatomic resection, adequate lymph node sampling, and negative surgical margin. The study developed a surgical quality score reflecting the association between these QMs and overall survival (OS), which was further validated in a cohort of patients using data from the National Cancer Database (NCDB). The study also examined the association between the surgical quality score and recurrence-free survival (RFS).

Exposures

Surgical treatment of early-stage NSCLC.

Main Outcomes and Measures

Overall survival and RFS.

Results

The study included 9628 veterans who underwent surgical treatment between 2006 and 2016. The cohort consisted of 1446 patients who had a mean (SD) age of 67.6 (7.9) years and included 9278 males (96.4%) and 350 females (3.6%). Among the cohort, 5627 individuals (58.4%) identified as being smokers at the time of surgical treatment. The QMs were met as follows: timely surgery (6633 [68.9%]), minimally invasive approach (3986 [41.4%]), lobectomy (6843 [71.1%]) or segmentectomy (532 [5.5%]), adequate lymph node sampling (3278 [34.0%]), and negative surgical margin (9312 [96.7%]). The median (IQR) follow-up time was 6.2 (2.5-11.4) years. An integer-based score (termed the Veterans Affairs Lung Cancer Operative quality [VALCAN-O] score) from 0 (no QMs met) to 13 (all QMs met) was constructed, with higher scores reflecting progressively better risk-adjusted OS. The median (IQR) OS differed substantially between the score categories (score of 0-5 points, 2.6 [1.0-5.7] years of OS; 6-8 points, 4.3 [1.7-8.6] years; 9-11 points, 6.3 [2.6-11.4] years; and 12-13 points, 7.0 [3.0-12.5] years; P < .001). In addition, risk-adjusted RFS improved in a stepwise manner between the score categories (6-8 vs 0-5 points, multivariable-adjusted hazard ratio [aHR], 0.62; 95% CI, 0.48-0.79; P < .001; 12-13 vs 0-5 points, aHR, 0.39; 95% CI, 0.31-0.49; P < .001). In the validation cohort, which included 107 674 nonveteran patients, the score remained associated with OS.

Conclusions and Relevance

The findings of this study suggest that adherence to intraoperative QMs may be associated with improved OS and RFS. Efforts to improve adherence to surgical QMs may improve patient outcomes following curative-intent resection of early-stage lung cancer.

False Positive Positron Emission Tomography/Computed Tomography (PET/CT) Requiring Biopsy for Proper Staging of Lung Cancer

Lung cancer is the leading cause of cancer death in women in developed countries. Staging is crucial in determining the treatment modality. Different treatment modalities for lung cancer include surgery, radiation therapy, and chemotherapy. PET/CT is the most sensitive and accurate modality for detecting hilar, mediastinal, and metastatic disease except in the brain. PET/CT scan often upstages the disease. PET/CT has also been shown to have false positive results. We present the case of a 72-year-old female who had a false positive finding on PET/CT, which would have changed the management process and outcome of her disease.

SOCS3 protein expression predicts the responses of advanced non-small cell lung cancer patients to platinum-based chemotherapy

Background

This study sought to assess the relationship between suppressor of cytokine signaling 3 (SOCS3) expression, SOCS3 promoter methylation status, and platinum-based chemotherapy responses in advanced non-small cell lung cancer (NSCLC) patients.

Methods

A total of 400 advanced NSCLC patients with inoperable disease were enrolled in this study. All the patients underwent platinum-based chemotherapy treatment, and the clinical and prognostic outcomes of these patients were analyzed. The SOCS3 protein expression and SOCS3 promoter methylation status of the tumor tissues in these patients were also tested by immunohistochemistry and polymerase chain reaction (PCR), respectively. In addition, we knocked down SOCS3 expression via small-interfering RNA (siRNA) in the lung cancer cell lines and conducted in vitro analyses to examine cell viability and apoptosis.

Results

Patients with higher expression levels of SOCS3 were found to have a lower average tumor stage, higher average tumor differentiation, and higher rates of positive chemotherapy responses than those with lower expression levels of SOCS3. SOCS3 promoter methylation was also found to be correlated with chemotherapy responses in these patients. In the prognostic analyses, only SOCS3 expression, but not SOCS3 promoter methylation, was found to be predictive of outcomes in advanced NSCLC patients. We also found that the pro-apoptotic effects of SOCS3 were mediated by the Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) signaling pathways in the lung cancer cells.

Conclusions

Currently, there is a lack of reliable biomarkers for predicting the responses of NSCLC patients to chemotherapy. Our results may aid in clinical evaluations of NSCLC patients.

Lung cancer recovery focus post pandemic: an income-deprived area paradigm

'Stage shift' has been proposed as a marker of impact of Coronavirus 2019 (COVID-19) in lung cancer services; however, there are no data available specifically from income-deprived areas. Thus, this study evaluated the impact of the COVID-19 pandemic on lung cancer care in our area (Corby; among the most income deprived in England) and identified focus recovery areas. The study was a retrospective observational study of 668 consecutive patients with lung cancer at a district general hospital, pre-, during and after the COVID peak. Outcomes were the overall number of cases, presenting staging and treatment pathway. Overall, 32 fewer patients were diagnosed during the pandemic, with more inpatient diagnoses (p=0.01) and fewer primary care referrals (p<0.0001). There were no differences observed in treatment intent or 'stage shift'. Our results suggest that COVID-19 negatively affected the whole lung cancer pathway in our area. However, 'stage shift' might not be ideal to assess the impact of COVID-19 in income-deprived areas. Further studies will help the strategic rollout of a screening programme to identify patients with lung cancer earlier on in such areas.

Treatment Patterns and Outcomes in Resected Early-stage Non-small Cell Lung Cancer: An Analysis of the SEER-Medicare Data

BACKGROUND

As the non-small cell lung cancer (NSCLC) adjuvant treatment landscape evolves, an evaluation of treatment patterns and outcomes of patients with early-stage, resected NSCLC eligible for adjuvant treatment in routine clinical practice is needed to better understand the unmet needs in this patient population.

MATERIALS AND METHODS

Data from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2007-2019) were used to identify patients with newly diagnosed stage IB (tumor size ≥4cm)-IIIA (AJCC 7th edition) NSCLC who received primary surgery (index date). We assessed adjuvant treatment patterns, real-world disease-free survival (rwDFS; time from index date to first recurrence or death) and overall survival (OS; time from index date to death), and loco-regional recurrence pattern and treatment distribution.

RESULTS

Among 1761 patients with primary surgery, mean age was 73.8 years; 47.9% were male; and 83.9% were white. Approximately 41% of patients received adjuvant chemotherapy; median time from surgery to adjuvant chemotherapy initiation was 48 days, and the most frequently observed adjuvant chemotherapy regimen was carboplatin+paclitaxel (24.5%). In the overall population, median rwDFS was 24.8 months and OS was 76.7 months; 5-year rwDFS and OS rates were 29.3% and 57.5%, respectively. Among 392 patients with loco-regional recurrence, the most frequently observed treatment was curative radiation monotherapy (28.2%).

CONCLUSION

Despite clinical guideline recommendations, rate of adjuvant chemotherapy among patients with resected early-stage NSCLC was low in clinical practice. Overall, among patients with early-stage NSCLC treated with conventional primary surgery, poor survival outcomes were observed, highlighting the need for and importance of more effective adjuvant treatments.

Impact of Systemic Autoimmune Diseases on Treatment Outcomes and Radiation Toxicities in Patients with Stage I Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy: A Matched Case-Control Analysis

We aimed to evaluate the impact of systemic autoimmune diseases (SADs) on treatment outcomes and radiation toxicities following stereotactic body radiation therapy (SBRT) for stage I non-small cell lung cancer (NSCLC). We queried an institution-based database on patients with SADs treated with SBRT for lung cancer between 2001 and 2016 (SAD group). Each patient was matched to three controls without SADs. The primary outcomes of interest were the overall survival (OS) and local control rate (LCR). The secondary outcomes were radiation toxicities of grades ≥2 (≥G2). Twelve patients with SADs were matched to 36 controls. The median follow-up duration was 3.6 years. There was a significant intergroup difference in the OS (hazard ratio [HR]: 4.11, 95% confidence incidence [CI]: 1.82−9.27, p < 0.001) and LCR (HR: 15.97, 95% CI: 2.89−88.29, p < 0.001). However, there were no significant intergroup differences in the odds of acute (odds ratio [OR]: 0.38, 95% CI: 0.02−8.91, p = 0.550) and late (OR: 2.20, 95% CI: 0.32−15.10, p = 0.422) ≥G2 radiation pneumonitis. No other ≥G2 toxicities were identified. In conclusion, although radiation toxicities are not enhanced by SADs, SADs are risk factors of poor prognosis following SBRT for stage I NSCLC.

Importance of TAK-1 levels in patients with non-small cell lung carcinoma

Background

In this study, we aimed to investigate the relationship between survival, tumor dimension, grade and stage in respect to transforming growth factor-β-activating kinase (TAK-1) extensity, severity and total score in patients undergoing resection for Stage 1B-2B non-small cell lung cancer.

Methods

Between January 2000 and December 2014, a total of 70 patients (64 males, 6 females; mean age: 63.4+9.6 years; range, 32 to 78 years) who underwent surgery with resectable non-small cell lung cancer in Stage 1-2b were included. The patients were divided into two groups as Group 1 (n=35) consisting of patients with squamous cell carcinoma and Group 2 (n=35) consisting of patients with adenocarcinoma. The control group consisted of 20 patients (Group 3) who underwent surgery due to non-cancer causes. The relationship between TAK-1 staining (extensity, severity, total scores) and grade, survival time, T factor, N factor, and chemotherapy administration was examined. Pathology specimens of the patients were evaluated for the degree of staining with TAK-1 primary antibody.

Results

There was a strong correlation between the tumor grade and TAK-1 primary antibody staining level, independently from histopathological type. A significant correlation was found between dimension, stage, and TAK-1 staining in patients with squamous cell carcinoma. No statistically significant difference was found in the other factors, except for grade factor, in patients with adenocarcinoma.

Conclusion

The current study provides precious information about the effects of TAK-1, in clinicopathological behavior and survival of malignant cells, particularly in common histopathological types of lung cancer. We believe that our data can be useful, particularly in evaluating the response to targeted therapies and the prognosis of the disease.

Early stage NSCLS patients' prognostic prediction with multi-information using transformer and graph neural network model

Background

We proposed a population graph with Transformer-generated and clinical features for the purpose of predicting overall survival (OS) and recurrence-free survival (RFS) for patients with early stage non-small cell lung carcinomas and to compare this model with traditional models.

Methods

The study included 1705 patients with lung cancer (stages I and II), and a public data set for external validation (n=127). We proposed a graph with edges representing non-imaging patient characteristics and nodes representing imaging tumour region characteristics generated by a pretrained Vision Transformer. The model was compared with a TNM model and a ResNet-Graph model. To evaluate the models' performance, the area under the receiver operator characteristic curve (ROC-AUC) was calculated for both OS and RFS prediction. The Kaplan-Meier method was used to generate prognostic and survival estimates for low- and high-risk groups, along with net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis. An additional subanalysis was conducted to examine the relationship between clinical data and imaging features associated with risk prediction.

Results

Our model achieved AUC values of 0.785 (95% confidence interval [CI]: 0.716-0.855) and 0.695 (95% CI: 0.603-0.787) on the testing and external data sets for OS prediction, and 0.726 (95% CI: 0.653-0.800) and 0.700 (95% CI: 0.615-0.785) for RFS prediction. Additional survival analyses indicated that our model outperformed the present TNM and ResNet-Graph models in terms of net benefit for survival prediction.

Conclusions

Our Transformer-Graph model was effective at predicting survival in patients with early stage lung cancer, which was constructed using both imaging and non-imaging clinical features. Some high-risk patients were distinguishable by using a similarity score function defined by non-imaging characteristics such as age, gender, histology type, and tumour location, while Transformer-generated features demonstrated additional benefits for patients whose non-imaging characteristics were non-discriminatory for survival outcomes.

Funding

The study was supported by the National Natural Science Foundation of China (91959126, 8210071009), and Science and Technology Commission of Shanghai Municipality (20XD1403000, 21YF1438200).

The optimal approach of EBUS-FNA rapid on-site evaluation (ROSE): a five-year experience from a large academic medical center

INTRODUCTION

Rapid on-site evaluation (ROSE) performed during endobronchial ultrasound-guided fine needle aspiration (EBUS-FNA) has shown significant value. However, ROSE may not be available for some pulmonary centers. Performing ROSE can be challenging and stressful due to time constrains for preparing, staining and reviewing the cytology slides between passes.

MATERIALS AND METHODS

A retrospective cytology report review of EBUS-FNA procedures performed between October 2014 and May 2019 revealed 516 cases that were included in the study. The number of passes for each procedure was documented. The adequacy rates were assessed at 4 different study points; ≤3 passes, ≤5 passes, at odd passes only, and the even passes only. The study groups results were compared to the overall ROSE and the final cytology adequacy.

RESULTS

The overall ROSE interpretation was adequate in 370 (71.7%) and inadequate in 146 (28.3%). After reviewing the Papanicolaou stained slides and cell blocks, the final cytology results were adequate in 473 (91.7%) and inadequate in 43 (8.3%) of the cases. The number of passes per procedure ranged from 1 to 17. Our results showed that ROSE evaluation of the first 5 passes during the EBUS-FNA procedure could achieve the similar adequacy rate compared to the overall ROSE evaluation of all the passes.

CONCLUSIONS

To achieve the most benefits of ROSE and to reduce the procedure time for EBUS-FNA, we recommend performing ROSE for ≤5 passes depending on the adequacy, and save all additional passes for cell blocks preparation if more than 5 passes are attempted.

Comparison of nomogram and machine-learning methods for predicting the survival of non-small cell lung cancer patients

Background

Most patients with advanced non-small cell lung cancer (NSCLC) have a poor prognosis. Predicting overall survival using clinical data would benefit cancer patients by allowing providers to design an optimum treatment plan. We compared the performance of nomograms with machine-learning models at predicting the overall survival of NSCLC patients. This comparison benefits the development and selection of models during the clinical decision-making process for NSCLC patients.

Methods

Multiple machine-learning models were used in a retrospective cohort of 6586 patients. First, we modeled and validated a nomogram to predict the overall survival of NSCLC patients. Subsequently, five machine-learning models (logistic regression, random forest, XGBoost, decision tree, and light gradient boosting machine) were used to predict survival status. Next, we evaluated the performance of the models. Finally, the machine-learning model with the highest accuracy was chosen for comparison with the nomogram at predicting survival status by observing a novel performance measure: time-dependent prediction accuracy.

Results

Among the five machine-learning models, the accuracy of random forest model outperformed the others. Compared with the nomogram for time-dependent prediction accuracy with a follow-up time ranging from 12 to 60 months, the prediction accuracies of both the nomogram and machine-learning models changed as time varied. The nomogram reached a maximum prediction accuracy of 0.85 in the 60th month, and the random forest algorithm reached a maximum prediction accuracy of 0.74 in the 13th month.

Conclusions

Overall, the nomogram provided more reliable prognostic assessments of NSCLC patients than machine-learning models over our observation period. Although machine-learning methods have been widely adopted for predicting clinical prognoses in recent studies, the conventional nomogram was competitive. In real clinical applications, a comprehensive model that combines these two methods may demonstrate superior capabilities.

A Circulating Risk Score, Based on Combined Expression of Exo-miR-130a-3p and Fibrinopeptide A, as Predictive Biomarker of Relapse in Resectable Non-Small Cell Lung Cancer Patients

Simple Summary

To date, the five-year survival rate of early stages of non-small cell lung cancer (NSCLC) is still disappointing and reliable prognostic factors are mandatory. Here, we performed in-depth high-throughput analyses of plasma circulating markers, including exosomal microRNAs and peptidome to identify a prognostic score. The miRnome profile selected the Exo-miR-130a-3p as the most overexpressed in relapsed patients. Peptidome analysis identified four progressively more degraded forms of fibrinopeptide A (FpA), which were depleted in relapse patients. Notably, a stepwise algorithm selected Exo-miR-130a-3p and the greatest FpA (2–16) to build a prognostic score, where high-risk patients had 18 months of median disease-free survival. Overexpression of miR-130a-3p cells led to a deregulation of pathways such as angiogenesis as well as the coagulation and metalloprotease, which might be linked to FpA reduction. The risk score integrating circulating markers may help clinicians predict early-stage NSCLC patients who are more likely to relapse after surgery.

Abstract

To date, the 5-year overall survival rate of 60% for early-stage non-small cell lung cancer (NSCLC) is still unsatisfactory. Therefore, reliable prognostic factors are needed. Growing evidence shows that cancer progression may depend on an interconnection between cancer cells and the surrounding tumor microenvironment; hence, circulating molecules may represent promising markers of cancer recurrence. In order to identify a prognostic score, we performed in-depth high-throughput analyses of plasma circulating markers, including exosomal microRNAs (Exo-miR) and peptides, in 67 radically resected NSCLCs. The miRnome profile selected the Exo-miR-130a-3p as the most overexpressed in relapsed patients. Peptidome analysis identified four progressively more degraded forms of fibrinopeptide A (FpA), which were depleted in progressing patients. Notably, stepwise Cox regression analysis selected Exo-miR-130a-3p and the greatest FpA (2-16) to build a score predictive of recurrence, where high-risk patients had 18 months of median disease-free survival. Moreover, in vitro transfections showed that higher levels of miR-130a-3p lead to a deregulation of pathways involved in metastasis and angiogenesis, including the coagulation process and metalloprotease increase which might be linked to FpA reduction. In conclusion, by integrating circulating markers, the identified risk score may help clinicians predict early-stage NSCLC patients who are more likely to relapse after primary surgery.

Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study

Background

Lung cancer is the leading cause of cancer-related mortality, and accurate prediction of patient survival can aid treatment planning and potentially improve outcomes. In this study, we proposed an automated system capable of lung segmentation and survival prediction using graph convolution neural network (GCN) with CT data in non-small cell lung cancer (NSCLC) patients.

Methods

In this retrospective study, we segmented 10 parts of the lung CT images and built individual lung graphs as inputs to train a GCN model to predict 5-year overall survival. A Cox proportional-hazard model, a set of machine learning (ML) models, a convolutional neural network based on tumor (Tumor-CNN), and the current TNM staging system were used as comparison.

Findings

A total of 1,705 patients (main cohort) and 125 patients (external validation cohort) with lung cancer (stages I and II) were included. The GCN model was significantly predictive of 5-year overall survival with an AUC of 0.732 (p < 0.0001). The model stratified patients into low- and high-risk groups, which were associated with overall survival (HR = 5.41; 95% CI:, 2.32–10.14; p < 0.0001). On external validation dataset, our GCN model achieved the AUC score of 0.678 (95% CI: 0.564–0.792; p < 0.0001).

Interpretation

The proposed GCN model outperformed all ML, Tumor-CNN, and TNM staging models. This study demonstrated the value of utilizing medical imaging graph structure data, resulting in a robust and effective model for the prediction of survival in early-stage lung cancer.

Use of algorithms for identifying patients in a German claims database: learnings from a lung cancer case

BACKGROUND

The analysis of statutory health insurance (SHI) data is a little-used approach for understanding treatment and care as well as resource use of lung cancer (LC) patients in Germany. The aims of this observational, retrospective, longitudinal analysis of structured data were to analyze the healthcare situation of LC patients in Germany based on routine data from SHI funds, to develop an algorithm that sheds light on LC types (non-small cell / NSCLC vs. small cell / SCLC), and to gain new knowledge to improve needs-based care.

METHODS

Anonymized billing data of approximately four million people with SHI were analyzed regarding ICD-10 (German modification), documented medical interventions based on the outpatient SHI Uniform Assessment Standard Tariff (EBM) or the inpatient Operations and Procedure Code (OPS), and the dispensing of prescription drugs to outpatients (ATC classification). The study included patients who were members of 64 SHI funds between Jan-1st, 2015 and Dec-31st, 2016 and who received the initial diagnosis of LC in 2015 and 2016.

RESULTS

The analysis shows that neither the cancer type nor the cancer stage can be unambiguously described by the ICD-10 coding. Furthermore, an assignment based on the prescribed medication provides only limited information: many of the drugs are either approved for both LC types or are used off-label, making it difficult to assign them to a specific LC type. Overall, 25% of the LC patients were unambiguously identifiable as NSCLC vs SCLC based on the ICD-10 code, the drug therapy, and the billing data.

CONCLUSIONS

The current coding system appears to be of limited suitability for drawing conclusions about LC and therefore the SHI patient population. This makes it difficult to analyze the healthcare data with the aim of gathering new knowledge to improve needs-based care. The approach chosen for this study did not allow for development of a LC differentiation algorithm based on the available healthcare data. However, a better overview of patient specific needs could make it possible to modify the range of services provided by the SHI funds. From this perspective, it makes sense, in a first step, to refine the ICD-10 system to facilitate NSCLC vs. SCLC classification.

Factors Affecting the Risk of Brain Metastasis in Limited-Stage Small Cell Lung Cancer After Prophylactic Cranial Irradiation

Background

Prophylactic cranial irradiation (PCI) can reduce the risk of brain metastases (BM) and improve overall survival (OS) in patients with limited-stage small cell lung cancer (LS-SCLC) after partial or complete response to primary therapy. However, some SCLC patients still develop BM after PCI. This study aimed to evaluate the risk factors of BM in patients with LS-SCLC after PCI and identify characteristics of patients who may not benefit from PCI.

Methods and Materials

We identified 550 patients with LS-SCLC who received chemoradiotherapy at Zhejiang Cancer Hospital between 2002 and 2017. All patients received PCI. Kaplan–Meier analyses and Cox regression analyses were used to identify factors affecting OS and brain metastasis-free survival (BMFS).

Results

For this patient population, the median survival time was 27.9 months, and the 5-year OS rate was 31%. The median survival time was 24.9 months (95% CI: 22.6–27.2 months), and 30.2 months (95% CI: 24.2–36.3 months) in patients with or without BM (P = 0.000). The overall BM rate was 15.6% (86/550). The frequency of BM in patients with pathologic stages I, II, and III were 9.3% (4/43), 13.4% (7/52), and 16.5% (75/455). The patients with tumors ≥5 cm had an increased risk of BM (HR: 1.781, 95% CI: 1.044–3.039, P = 0.034) but not death (HR: 1.126, 95% CI: 0.925–1.663, P = 0.182). The median survival time among patients <60 years was significantly longer than patients ≥60 years (34.9 months vs 24.6 months, P = 0.001); however, the difference in the BM risk between the two groups was not statistically significant.

Conclusion

PCI remains the standard of care for LS-SCLC patients who achieve complete or partial response after completion of chemoradiotherapy. However, patients with tumors ≥5 cm may have a higher risk of developing BM after PCI.

Applicability of the USPSTF Lung Cancer Screening Guidelines in a Predominantly Black Veteran Population

BACKGROUND

Black individuals and veterans are at higher risk for developing lung cancer compared with that of the general population. Evidence suggests the screening criteria have been too conservative for this population.

METHODS

This study is a retrospective chart review examining the applicability of the 2013 United States Preventive Services Task Force lung cancer screening guidelines in a US Department of Veteran Affairs institution that served a a predominantly black population. Patients diagnosed with stage 1 or 2 lung cancer from 2005 through 2017 were included and grouped by whether or not they met United States Preventive Services Task Force screening criteria.

RESULTS

There was a significantly higher proportion of Black patients in the study group that did not meet screening criteria (68% vs 54%, P = .04), highlighting the concern that this population was being underscreened with the 2013 guidelines.

CONCLUSIONS

An individualized, risk-based screening model could be more effective at diagnosing early-stage lung cancer and requires more investigation.

Prognostic value of metabolic parameters on baseline 18F-FDG PET/CT in small cell lung cancer

BACKGROUND

Maximum standardized uptake value (SUV<inf>max</inf>) is the primary quantitave parameter given in 18F-FDG PET/CT reports. Calculations derived from three dimensional metabolic volumetric images have been proposed to be more successful than SUV<inf>max</inf> alone in prognostification with a lower interobserver variability in many cancers. We aimed to determine the prognostic value of metabolic parameters derived from 18F-FDG PET/CT studies in small cell lung cancer (SCLC) patient population with a long follow-up time.

METHODS

In this study, 38 consecutive SCLC patients (34M, 4F, age:65.76 ±8.18 years) who were referred to 18F-FDG PET/CT for staging between October 2006-January 2011 were included. SUV<inf>max</inf>, SUV<inf>mean</inf>, SUV<inf>peak</inf>, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were calculated. Overall survival (OS) was calculated from the date of the initial PET/CT to death from any cause. Survival tables were obtained and Kaplan Meier curves were reconstructed. Mantel-Cox regression analysis was performed in order to investigate if any of these parameters have an effect on survival along with other clinical risk factors.

RESULTS

Median SUV<inf>max</inf>, SUV<inf>mean</inf>, SUV<inf>peak</inf>, MTV, TLG and LDH values were calculated as 13.9 g/dL, 6.4 g/dL,10.69 g/dL, 147 cm³, 1898.52 and 375U/L respectively. Median follow-up was 761.23±873.21 days (25.37 months, range:110-3338 days). Since basal 18F-FDG PET/CT scans, all patients were lost in the follow-up except for two patients. MTV was a significant prognostic factor in SCLC patients. Estimated mean survival times were 261.0±45.6 (95% CI: 171.6-350.3) days in patients with MTV value above the calculated median 147, and 577.0±124.0 (95% CI: 333.7-820.2) days in patients with MTV<147. The difference was statistically significant with a P=0.037.

CONCLUSIONS

Baseline whole body MTV reflecting total tumor load is a prognostic index in SCLC. SUV is insufficient to predict prognosis.

Fused feature signatures to probe tumour radiogenomics relationships

Radiogenomics relationships (RRs) aims to identify statistically significant correlations between medical image features and molecular characteristics from analysing tissue samples. Previous radiogenomics studies mainly relied on a single category of image feature extraction techniques (ETs); these are (i) handcrafted ETs that encompass visual imaging characteristics, curated from knowledge of human experts and, (ii) deep ETs that quantify abstract-level imaging characteristics from large data. Prior studies therefore failed to leverage the complementary information that are accessible from fusing the ETs. In this study, we propose a fused feature signature (FFSig): a selection of image features from handcrafted and deep ETs (e.g., transfer learning and fine-tuning of deep learning models). We evaluated the FFSig's ability to better represent RRs compared to individual ET approaches with two public datasets: the first dataset was used to build the FFSig using 89 patients with non-small cell lung cancer (NSCLC) comprising of gene expression data and CT images of the thorax and the upper abdomen for each patient; the second NSCLC dataset comprising of 117 patients with CT images and RNA-Seq data and was used as the validation set. Our results show that our FFSig encoded complementary imaging characteristics of tumours and identified more RRs with a broader range of genes that are related to important biological functions such as tumourigenesis. We suggest that the FFSig has the potential to identify important RRs that may assist cancer diagnosis and treatment in the future.

The Significance of the Alter miR let-7a and miR-335 Expression Level Regulating the CCR7/CCL19 Axis as Potential Biomarkers of Tumor Progression in NSCLC

The chemokine receptor 7/C-C ligand 19 chemokine (CCR7/CCL19) has been implicated in the development and progression of NSCLC. Its expression is regulated by various epigenetic factors including miRNAs. The aim of this study was to assess the expression of CCR7/CCL19 in cancer tissue in relation to that of miRNAs (miR-let-7a, miR-335) as transcriptional regulators. The expression of the tested miRNAs was also evaluated in serum exosomes. Sixty patients (n = 60) were enrolled in the study. The total expression of the studied mRNA and miRNAs were evaluated using qPCR. Tumor tissue fragments, macroscopically unchanged adjacent tissue, and serum were used as controls. Higher CCR7 and CCL19 mRNA expression levels were observed in tumor tissue compared to control. According to stages of the disease (AJCC tumor staging), the greatest expression level of the studied genes' mRNA was observed in patients with stage III. In NSCLC patients, lower miR let-7a expression level was observed in tumor tissue compared to serum; however, miR-335 expression level was higher (p < 0.05). The expression level of miR-335 positively correlated with tumor size (T features according to pTNM staging) and AJCC tumor staging, while miR let-7a had a negative correlation (p > 0.05) with liquid biopsy. Significantly greater miR-335 expression level and lower miR let-7a expression level in serum were observed in patients with metastases to lymph nodes. Our findings reveal a significant correlation between the expression levels of the mRNA of the studied genes and miRNAs. Changes in miR-335 and miR let-7a expression levels in the serum exosomes of NSCLC patients in relation to lymph node metastases and tumor stage may serve as a non-invasive molecular biomarker of tumor progression.

Preoperative percutaneous needle lung biopsy techniques and ipsilateral pleural recurrence in stage I lung cancer

OBJECTIVES

A recent meta-analysis of individual patient data revealed that preoperative percutaneous transthoracic needle lung biopsy (PTNB) was associated with an increased risk of ipsilateral pleural recurrence in stage I lung cancer. This study aimed to examine whether particular PTNB techniques reduced the risk of pleural recurrence.

METHODS

We retrospectively included 415 consecutive patients with stage I lung cancer who underwent preoperative PTNB and curative resection from 2009 through 2016. Detailed information was collected, including clinical, PTNB technique, radiologic, and pathologic characteristics of lung cancer. Cox regression analyses were performed to identify risk factors for pleural recurrence before and after propensity score matching.

RESULTS

The overall follow-up period after PTNB was 62.1 ± 23.0 months, and ipsilateral pleural recurrence occurred in 40 patients. Before propensity score matching, age (p = 0.063), microscopic pleural invasion (p = 0.065), and pathologic tumor size (p = 0.016) tended to be associated with pleural recurrence in univariate analyses and subsequently were matched using a propensity score. After propensity score matching, multivariate analysis revealed that ipsilateral pleural recurrence was associated with a larger target size on computed tomography (hazard ratio [HR] = 1.498; 95% CI, 1.506-2.125; p = 0.023) and microscopic lymphatic invasion (HR = 3.526; 95% CI, 1.491-8.341; p = 0.004). However, no PTNB techniques such as needle gauge, biopsy, or pleural passage numbers were associated with a reduced risk of recurrence.

CONCLUSIONS

No particular PTNB techniques were associated with reduced pleural seeding after PTNB in stage I lung cancer. Regardless of the technique, PTNB needs to be cautiously applied when early lung cancer is suspected, followed by curative treatment.

KEY POINTS

• Age, microscopic pleural invasion, and pathologic tumor size tended to be associated with pleural recurrence in stage I lung cancer before propensity matching. • After propensity matching, pre-biopsy CT target size and microscopic lymphatic invasion were associated with pleural recurrence. • No particular PTNB techniques were associated with reduced pleural seeding in stage I lung cancer before and after propensity matching.

Gut microbiome functionality might be associated with exercise tolerance and recurrence of resected early-stage lung cancer patients

Impaired exercise tolerance and lung function is a marker for increased mortality in lung cancer patients undergoing lung resection surgery. Recent data suggest that the gut-lung axis regulates systemic metabolic and immune functions, and microbiota might alter exercise tolerance. Here, we aimed to evaluate the associations between gut microbiota and outcomes in lung cancer patients who underwent lung resection surgery. We analysed stool samples, from 15 early-stage lung cancer patients, collected before and after surgical resection using shotgun metagenomic and Internal Transcribed Spacer (ITS) sequencing. We analysed microbiome and mycobiome associations with post-surgery lung function and cardiopulmonary exercise testing (CPET) to assess the maximum level of work achieved. There was a significant difference, between pre- and post-surgical resection samples, in microbial community functional profiles and several species from Alistipes and Bacteroides genus, associated with the production of SCFAs, increased significantly in abundance. Interestingly, an increase in VO2 coincides with an increase in certain species and the "GABA shunt" pathway, suggesting that treatment outcome might improve by enriching butyrate-producing species. Here, we revealed associations between specific gut bacteria, fungi, and their metabolic pathways with the recovery of lung function and exercise capacity.

Clinical Characteristics and Molecular Profiles of Lung Cancer in Ethiopia

Introduction

Lung cancer is the most common cause of cancer deaths worldwide, accounting for 1.8 million deaths each year. Only 20% of lung cancer cases are reported to occur in low- and middle-income countries. An estimated 1.5% of all Ethiopian cancers involved the lung; however, no nationwide cancer registry exists in Ethiopia. Thus, accurate data on clinical history, histopathology, molecular characteristics, and risk factors for lung cancer are not available. The aim of this study was to describe the clinical, radiologic, and pathologic characteristics, including available molecular profiles, for lung cancer at Tikur Anbessa Specialized Hospital (TASH), the main tertiary referral center in Addis Ababa, Ethiopia.

Methods

A cross-sectional study was conducted at TASH among 146 patients with pathologically confirmed primary lung cancer, diagnosed from 2015 to 2019 and recorded in the Addis Ababa Cancer Registry at TASH. Clinical data were extracted from patient medical records, entered into a Research Electronic Data Capture database, and analyzed using Statistical Package for the Social Sciences statistical software. Variables collected included sociodemographics, personal exposures, comorbidities, clinical manifestations at presentation, chest imaging results, diagnostic procedures performed, histopathological classification, cancer staging, and type of treatment (if any). A subset of lung biopsies fixed in formalin for 2 to 7 days, which could be retrieved from the files of the Pathology Department of TASH, were reviewed, and molecular analysis was performed using next-generation sequencing to identify the tumor-oncogenic drivers.

Results

Among the 146 patients studied, the mean (SD) age was 54 plus or minus 13 years; 61.6% (n = 90) were male and 25.3% (n = 37) had a history of tobacco use. The most common clinical manifestations included cough (88.4%, n = 129), chest pain (60.3%, n = 88), and dyspnea (53.4%, n = 78). The median duration of any symptoms was 6 months (interquartile range: 3-12 mo). The most common radiologic features were lung mass (84.9%, n = 129) and pleural effusion (52.7%, n = 77). Adenocarcinoma accounted for 35.7% of lung cancers (n = 52) and squamous cell carcinoma 19.2% (n = 28) from those specimens was reported. Among patients on whom staging of lung cancer was documented, 92.2% (n = 95) of the subjects presented at advanced stages (stages III and IV). EGFR mutation, exons 19 and 20, was found in 7 of 14 tissue blocks analyzed. No specific risk factors were identified, possibly reflecting the relatively small sample size and limited exposures.

Conclusions

There are marked differences in the presentation, risk factors, and molecular characteristics of lung cancer in Ethiopia as compared with other African and non-African countries. Adenocarcinoma was the most common histologic type of lung cancer detected in our study, similar to findings from other international studies. Nevertheless, compared with high-income countries, lung cancer in Ethiopia presents at a younger age, a later stage, and without considerable personal tobacco use. The relatively higher prevalence of EGFR mutation, from the limited molecular analyses, suggests that factors other than smoking history, such as exposure to biomass fuel, may be a more important risk factor. Country-specific screening guidelines and treatment protocols, in addition to a national tumor registry and greater molecular mutation analyses, are needed to improve prevention and management of lung cancer in Ethiopia.

Surgical mediastinal lymph node staging for non-small-cell lung carcinoma

Background

The current preferred approach for surgical mediastinal staging of non-small-cell lung carcinoma is video-assisted mediastinoscopy. An alternative technique in which lymph nodes are resected instead of biopsied is video-assisted mediastinoscopic lymphadenectomy (VAMLA) that is suggested to be superior in detecting N2 disease. Yet, evidence is conflicting and furthermore limited by sample size. The objective was to compare mediastinal staging through VAMLA and video-assisted mediastinoscopy.

Methods

A single-center cohort study was conducted. All consecutive patients that underwent surgical mediastinal staging of non-small-cell lung carcinoma by VAMLA (2011 to 2018) were compared to historic video-assisted mediastinoscopy controls (2007 to 2011). Patients with negative surgical mediastinal staging underwent subsequent anatomical resection with systematic regional lymphadenectomy. Primary outcome was the sensitivity and negative predictive value for detecting N2 disease.

Results

Two-hundred-sixty-nine video-assisted mediastinoscopic lymphadenectomies and 118 video-assisted mediastinoscopies were performed. The prevalence of N2 disease was 20% and 26% respectively in the VAMLA and video-assisted mediastinoscopy group, while the rate of unforeseen pN2 resulting from lymph node dissection during anatomical resection was 4% and 11%, respectively. Invasive staging using VAMLA demonstrated superior sensitivity of 0.82 and a negative predictive value of 0.96 when compared to video-assisted mediastinoscopy (0.62 and 0.89, respectively), offering a 64% decrease in risk of unforeseen pN2 following anatomical resection. However, VAMLA is also associated with a 75% risk increase on complications (P=0.36).

Conclusions

We conclude that performing invasive mediastinal lymph node assessment for staging of non-small-cell lung carcinoma, VAMLA should be the preferred technique with superior sensitivity and negative predictive value in detecting N2 disease. Though, VAMLA is also associated with an increased risk of complications.

lncRNA TPT1‑AS1 knockdown inhibits liver cancer cell proliferation, migration and invasion

Long non-coding RNA (lncRNA) tumor protein translationally controlled 1 antisense RNA 1 (TPT1-AS1) serves as an oncogene in several tumors, including ovarian and cervical cancer. However, the functional role of TPT1-AS1 in liver cancer (LC) is not completely understood. The present study aimed to explore the role of TPT1-AS1 in LC. In this study, the reverse transcription-quantitative PCR results demonstrated that TPT1-AS1 expression was significantly upregulated in LC tissues and cell lines compared with adjacent paracancerous tissues and THLE-3 cells, respectively. Elevated TPT1-AS1 expression was significantly associated with TNM stage lymph node metastasis and poor prognosis in patients with LC, as determined via χ² and Kaplan-Meier survival analyses. By constructing TPT1-AS1 knockdown LC cell lines (HepG2 and SNU-182), loss-of-function experiments, including Cell Counting Kit-8, colony formation, flow cytometry, wound healing and Transwell assays, were performed to explore the function role of TPT1-AS1 in LC in vitro. The results demonstrated that TPT1-AS1 knockdown inhibited LC cell proliferation, G₁/S transition, migration and invasion compared with the small interfering RNA (si)-negative control (NC) group. Mechanistically, TPT1-AS1 knockdown markedly decreased CDK4, N-cadherin and Vimentin expression levels, but notably increased p21 and E-cadherin expression levels compared with the si-NC group. Therefore, the results of the present study suggested that TPT1-AS1 might serve as a promising therapeutic target for LC treatment.

Expression of PD-L1 Is Associated with Inflammatory Microenvironment in Surgical Specimens of Non-Small Cell Lung Cancer

The aim of this study was to analyse the expression of PD-L1 in non-small cell lung cancer (NSCLC) and its correlation with immune microenvironment response (IMR), clinic-pathological parameters, and outcome. The sample included 76 male and 32 female patients who underwent surgical resection. The mean age of the males was 66 years, and that of the females was 64 years. Adenocarcinoma (ADC) was diagnosed in 68 (63%) cases, squamous cell carcinoma in 35 (32%) cases, and NSCLC (not otherwise specified) in 5 (5%) cases. Metastatic lymph nodes were found in 38 (36%) patients, 18 with N1 nodes and 20 with N2 nodes. PD-L1 expression was valuated as the percentage of positive cancer cells among all cancer cells. Gender, age, and histologic type were not associated with PD-L1 expression (all p > 0.05). The subtypes of ADC were associated with PD-L1 expression (p = 0.050). The papillary subtype was 4.3 times more common among PD-L1 negative than PD-L1 positive ADC; the solid subtype was 1.9 times more common among PD-L1 positive than PD-L1 negative ADC. IMR was predominantly strong in 19 cases, weak in 36, and absent in 53 cases. The median value of PD-L1 expression in cancer cells was positively correlated with IMR (p = 0.039). PD-L1 expression was not correlated with overall survival (p = 0.643). The patients with strong, inflammatory-like IMR had an average survival time that was 12 months longer than patients with absent/low IMR (LR = 2.8; p = 0.132). In conclusion, the papillary subtype was more commonly PD-L1 negative in comparison with other subtypes of ADC. Positive PD-L1 expression in tumour cells was connected with strong, inflammatory-like IMR. Patients with strong IMR tended to experience better outcomes. Further investigations are needed on larger-scale cohorts to elucidate the insights of this descriptive study.

Application of Radiomics and Artificial Intelligence for Lung Cancer Precision Medicine

Medical imaging is the standard-of-care for early detection, diagnosis, treatment planning, monitoring, and image-guided interventions of lung cancer patients. Most medical images are stored digitally in a standardized Digital Imaging and Communications in Medicine format that can be readily accessed and used for qualitative and quantitative analysis. Over the several last decades, medical images have been shown to contain complementary and interchangeable data orthogonal to other sources such as pathology, hematology, genomics, and/or proteomics. As such, "radiomics" has emerged as a field of research that involves the process of converting standard-of-care images into quantitative image-based data that can be merged with other data sources and subsequently analyzed using conventional biostatistics or artificial intelligence (AI) methods. As radiomic features capture biological and pathophysiological information, these quantitative radiomic features have shown to provide rapid and accurate noninvasive biomarkers for lung cancer risk prediction, diagnostics, prognosis, treatment response monitoring, and tumor biology. In this review, radiomics and emerging AI methods in lung cancer research are highlighted and discussed including advantages, challenges, and pitfalls.

Characteristics and Outcomes of Lung Cancers Detected on Low-Dose Lung Cancer Screening CT

BACKGROUND

Lung cancer screening (LCS) with low-dose CT (LDCT) was implemented in the United States following the National Lung Screening Trial (NLST). The real-world benefits of implementing LCS are yet to be determined with outcome-oriented data. The study objective is to investigate the characteristics and outcomes of screening-detected lung cancers.

METHODS

This single-institution retrospective study included LCS patients between June 2014 and December 2019. Patient demographics, number of screening rounds, imaging features, clinical workup, disease extent, histopathology, treatment, complications, and mortality outcomes of screening-detected lung cancers were extracted and compared with NLST data.

RESULTS

LCS LDCTs (7,480) were performed on 4,176 patients. The cancer detection rate was 3.8%, higher than reported by NLST (2.4%, P < 0.0001), and cancers were most often found in patients ≥65 years (62%), older than those in NLST (41%, P < 0.0001). The patients' ethnicity was similar to NLST, P = 0.87. Most LCS-detected cancers were early stage I tumors (71% vs. 54% in NLST, P < 0.0001). Two thirds of cancers were detected in the first round of screening (67.1%) and were multifocal lung cancers in 15%. As in NLST, the complication rate after invasive workup or surgery was low (24% vs. 28% in NLST, P = 0.32). Over a median follow-up of 3.3 years, the mortality rate was 0.45%, lower than NLST (1.33%, P < 0.0001).

CONCLUSIONS

LCS implementation achieved a higher cancer detection rate, detection of early-stage cancers, and more multifocal lung cancers compared with the NLST, with low complications and mortality.

IMPACT

The real-world implementation of LCS has been successful for detection of lung cancer with favorable outcomes.

Modified Glasgow Prognostic Score is predictive of prognosis for non-small cell lung cancer patients treated with stereotactic body radiation therapy: a retrospective study

We aimed to assess the predictive value of the modified Glasgow prognostic score (mGPS) in patients with non-small cell lung cancer (NSCLC) who underwent stereotactic body radiation therapy (SBRT). We retrospectively reviewed the records of 207 patients, with a median age of 79 years. The pretreatment mGPS was calculated and categorized as high (mGPS = 1-2) or low (mGPS = 0). The median follow-up duration was 40.7 months. The five-year overall survival (OS), progression-free survival (PFS) and time to progression (TTP) rates were 44.3%, 36% and 54.4%, respectively. Multivariate analysis revealed that mGPS was independently predictive of OS (hazard ratio [HR] 1.67; 95% confidence interval 1.14-2.44: P = 0.009), PFS (HR 1.58; 1.10-2.28: P = 0.014) and TTP (HR 1.66; 1.03-2.68: P = 0.039). Patients who had high mGPS showed significantly worse OS (33.3 vs 64.5 months, P = 0.003) and worse PFS (23.8 vs 39 months, P = 0.008) than those who had low mGPS. The data showed a trend that patients with high mGPS suffered earlier progression compared to those with low mGPS (54.3 vs 88.1 months, P = 0.149). We confirmed that mGPS is independently predictive of prognosis in NSCLC patients treated with SBRT.

A review on recent advancements in diagnosis and classification of cancers using artificial intelligence

Artificial intelligence has illustrated drastic changes in radiology and medical imaging techniques which in turn led to tremendous changes in screening patterns. In particular, advancements in these techniques led to the development of computer aided detection (CAD) strategy. These approaches provided highly accurate diagnostic reports which served as a "second-opinion" to the radiologists. However, with significant advancements in artificial intelligence strategy, the diagnostic and classifying capabilities of CAD system are meeting the levels of radiologists and clinicians. Thus, it shifts the CAD system from second opinion approach to a high utility tool. This article reviews the strategies and algorithms developed using artificial intelligence for the foremost cancer diagnosis and classification which overcomes the challenges in the traditional method. In addition, the possible direction of AI in medical aspects is also discussed in this study.

Long-term outcomes of video-assisted lobectomy in non-small cell lung cancer

BACKGROUND

Video-assisted thoracoscopic surgery lobectomy combined with lymphadenectomy is widely utilized worldwide for treating non-small cell lung cancer. We evaluated the long-term survival outcomes of this approach and determined the prognostic factors of overall survival.

METHODS

This prospective observational study was performed in patients with non-small cell lung cancer who were subjected to video-assisted lobectomy and lymphadenectomy from 2012 to 2016. Independent prognostic factors were determined via uni- and multivariable Cox models.

RESULTS

There were 109 patients with the mean age of 59.2 years and males accounted for 54.1%. Postoperative staging determined 22.9% of stage IA, 31.2% of stage IB, 16.5% of stage IIA and 29.4% of stage IIIA. Median follow-up time was 27 months. The overall survival rate after 1, 2, 3, 4 and 5 years was 100%, 85.9%, 65.3%, 55.9% and 55.9%, respectively. In univariable analysis, smoking (hazard ratio (HR) [95% confidence interval (CI)]: 2.50 [1.18-5.31]), Tumor--nodes--metastases (TNM) stage (IIA: 7.60 [1.57-36.9]; IIIA: 14.3 [3.28-62.7] compared to IA), histological differentiation (moderately differentiated: 4.91 [1.04-23.2]; poorly differentiated: 8.25 [1.91-35.6] compared to well differentiated), lymph node size ≥1 cm (8.22 [3.11-21.7]), tumour size ≥3 cm (4.24 [1.01-17.9]), radical lymphadenectomy (6.67 [3.14-14.2]) were identified as prognostic factors of the long-term survival. In multivariable analysis, only radical lymphadenectomy was an independent prognostic factor (HR [95% CI]: 3.94 [1.41-11.0]).

CONCLUSION

Video-assisted thoracoscopic lobectomy combined with lymphadenectomy is feasible, safe and effective for the treatment of non-small cell lung cancer. The long-term outcomes of this method are favourable, especially at the early stage of cancer.