Does Lymph Node Metastasis Have a Negative Prognostic Impact in Patients with NSCLC and M1a Disease?

Advances in lymphatic metastasis of non-small cell lung cancer

Lung cancer is a deeply malignant tumor with high incidence and mortality. Despite the rapid development of diagnosis and treatment technology, abundant patients with lung cancer are still inevitably faced with recurrence and metastasis, contributing to death. Lymphatic metastasis is the first step of distant metastasis and an important prognostic indicator of non-small cell lung cancer. Tumor-induced lymphangiogenesis is involved in the construction of the tumor microenvironment, except promoting malignant proliferation and metastasis of tumor cells, it also plays a crucial role in individual response to treatment, especially immunotherapy. Thus, this article reviews the current research status of lymphatic metastasis in non-small cell lung cancer, in order to provide some insights for the basic research and clinical and translational application in this field.

Surgery for M1A Non-Small-Cell Lung Cancer With Additional Pulmonary Nodules in a Contralateral Lobe

INTRODUCTION

Limited consensus exists on the optimal treatment strategy for clinical M1a non-small-cell lung cancer (NSCLC) presenting as a primary tumor with additional intrapulmonary nodules in a contralateral lobe ("M1a-Contra"). This study sought to compare long-term survival of patients with M1a-Contra tumors receiving multimodal therapy with versus without thoracic surgery.

METHODS

Overall survival of patients with cT1-4, N0-3, M1a NSCLC with contralateral intrapulmonary nodules who received surgery as part of multimodal therapy ("Thoracic Surgery") versus systemic therapy with or without radiation ("No Thoracic Surgery") in the National Cancer Database from 2010 to 2015 was evaluated using Kaplan-Meier analysis, Cox proportional hazards modeling, and propensity score matching.

RESULTS

Of the 5042 patients who satisfied study inclusion criteria, 357 (7.1%) received multimodal therapy including surgery. In multivariable-adjusted analysis, the Thoracic Surgery cohort had better overall survival than the No Thoracic Surgery cohort (HR: 0.66, 95% CI: 0.56-0.79, P < 0.001). In a propensity score-matched analysis of 386 patients, well-balanced on 12 common prognostic covariates, the Thoracic Surgery group had better 5-year overall survival than the No Thoracic Surgery group (P = 0.020). In propensity score-matched analyses stratified by clinical N status, Thoracic Surgery was associated with better overall survival than No Thoracic Surgery for patients with cN0 disease and cN1-2 disease.

CONCLUSIONS

In this national analysis, multimodal treatment including surgery was associated with better overall survival than systemic therapy with or without radiation without surgery for patients with M1a-Contra tumors. These preliminary findings highlight the importance of further evaluation of surgery in a multidisciplinary treatment setting for M1a-Contra tumors.

Exploration and machine learning model development for T2 NSCLC with bronchus infiltration and obstructive pneumonia/atelectasis

In the 8th edition of the American Joint Committee on Cancer (AJCC) staging system for Non-Small Cell Lung Cancer (NSCLC), tumors exhibiting main bronchial infiltration (MBI) near the carina and those presenting with complete lung obstructive pneumonia/atelectasis (P/ATL) have been reclassified from T3 to T2. Our investigation into the Surveillance, Epidemiology, and End Results (SEER) database, spanning from 2007 to 2015 and adjusted via Propensity Score Matching (PSM) for additional variables, disclosed a notably inferior overall survival (OS) for patients afflicted with these conditions. Specifically, individuals with P/ATL experienced a median OS of 12 months compared to 15 months (p < 0.001). In contrast, MBI patients demonstrated a slightly worse prognosis with a median OS of 22 months versus 23 months (p = 0.037), with both conditions significantly correlated with lymph node metastasis (All p < 0.001). Upon evaluating different treatment approaches for these particular T2 NSCLC variants, while adjusting for other factors, surgery emerged as the optimal therapeutic strategy. We counted those who underwent surgery and found that compared to surgery alone, the MBI/(P/ATL) group experienced a much higher proportion of preoperative induction therapy or postoperative adjuvant therapy than the non-MBI/(P/ATL) group (41.3%/54.7% vs. 36.6%). However, for MBI patients, initial surgery followed by adjuvant treatment or induction therapy succeeded in significantly enhancing prognosis, a benefit that was not replicated for P/ATL patients. Leveraging the XGBoost model for a 5-year survival forecast and treatment determination for P/ATL and MBI patients yielded Area Under the Curve (AUC) scores of 0.853 for P/ATL and 0.814 for MBI, affirming the model's efficacy in prognostication and treatment allocation for these distinct T2 NSCLC categories.

Investigations of the distant metastatic non-small cell lung cancer without local lymph node involvement: Real world data from a large database

INTRODUCTION

This study aimed to investigate the presentations and survival outcomes of the distant metastatic non-small cell lung cancer (NSCLC) without lymph node involvement to obtain a clearer picture of this special subgroup of metastatic NSCLC.

METHOD

A least absolute shrinkage and selection operator (LASSO) penalized Cox regression analysis was used to select the prognostic variables. A nomogram and corresponding risk-classifying systems were constructed. The C-index and calibration curves were used to evaluate the performance of the model. Overall survival (OS) curves were plotted using the Kaplan-Meier method, and the log-rank test was used to compare OS differences between groups. Propensity score matching (PSM) was performed to reduce bias.

RESULT

A total of 12 610 NSCLC patients with M1 category (N0 group: 3045 cases; N1-3 group: 9565 cases) were included. Regarding the N0 group, multivariate analysis demonstrated that age, sex, race, surgery, grade, tumor size, and M category were independent prognostic factors. A nomogram and corresponding risk-classifying systems were formulated. Favorable validation results were obtained from the C-index, calibration curves, and survival comparisons. Survival curves demonstrated that N0 NSCLC patients had better survival than N1-3 NSCLC patients both before and after PSM. Furthermore, the survival of resected N0M1 patients was superior to that of those without surgery.

CONCLUSION

In this study, a prognostic nomogram and risk-classifying systems designed for the T1-4N0M1 NSCLC patients showed acceptable performance. Primary lung tumor resection might be a feasible treatment for this population subset. Additionally, we proposed that lymph node stage might have a place in the forthcoming tumor-node-metastasis (TNM) staging proposal for NSCLC patients with M1 category.

Prediction of overall survival of non-small cell lung cancer with bone metastasis: an analysis of the Surveillance, Epidemiology and End Results (SEER) database

Background

The prognosis of non-small cell lung cancer (NSCLC) patients with bone metastasis is extremely repulsive. The aim of this study was to potentially characterize the prevalence, associated factors and to establish a prognostic nomogram to predict the overall survival (OS) of NSCLC patients with bone metastasis.

Methods

The Surveillance, Epidemiology and End Results (SEER) database was used to collected NSCLC cases during 2010–2015. The cases with incomplete clinicopathological information were excluded. Finally, 484 NSCLC patients with bone metastasis were included in the present study and randomly divided into the training (n=340) and validation (n=144) cohorts in a ratio of 7:3 based on R software. NSCLC patients with bone metastasis were selected to investigate predictive factors for OS and cancer-specific survival (CSS) using the multivariable Cox proportional hazards regression. A nomogram incorporating these prognostic factors was developed and evaluated by a concordance index (C-index), calibration plots, and risk group stratifications.

Results

In the Cox proportional hazards model, sex, race, American Joint Committee on Cancer (AJCC) N, T stage, liver metastasis, and chemotherapy were regarded as prognostic factors of OS. The nomogram based on sex, race, AJCC N, T stage, liver metastasis and chemotherapy was developed for cancer-specific death to predict 1-, 3-, and 5-year survival rate with good performance. The C-index of established nomogram was 0.695 for cancer-specific death in the study population with an acceptable calibration.

Conclusions

The female gender, the patients with chemotherapy and not liver metastasis may indicate improved survival. However, the global prospective data with the latest tumor, node, metastasis (TNM) classification is needed to further improve this model.

Glucose Metabolism Reprogramming of Primary Tumor and the Liver Is Associated With Disease-Free Survival in Patients With Early NSCLC

Purpose

Tumor promote disease progression by reprogramming their metabolism and that of distal organs, so it is of great clinical significance to study the changes in glucose metabolism at different tumor stages and their effect on glucose metabolism in other organs.

Methods

A retrospective single-centre study was conducted on 253 NSCLC (non-small cell lung cancer) patients with negative lymph nodes and no distant metastasis. According to the AJCC criteria, the patients were divided into different groups based on tumor size: stage IA, less than 3 cm (group 1, n = 121); stage IB, greater than 3-4 cm (group 2, n = 64); stage IIA, greater than 4-5 cm (group 3, n = 36); and stage IIB, greater than 5-7 cm (group 4, n = 32). All of the patients underwent baseline ¹⁸F-FDG PET/CT scans, and the primary lesion SUVmax (maximum standardized uptake value), liver SUVmean (mean standardized uptake value), spleen SUVmean, TLR (Tumor-to-liver SUV ratio) and TSR (Tumor-to-spleen SUV ratio) were included in the study, combined with clinical examination indicators to evaluate DFS (disease free survival).

Results

In NSCLC patients, with the increase in the maximum diameter of the tumor, the SUVmax of the primary lesion gradually increased, and the SUVmean of the liver gradually decreased. The primary lesion SUVmax, liver SUVmean, TLR and TSR were related to disease recurrence or death. The best predictive parameters were different when the tumor size differed. SUVmax had the highest efficiency when the tumor size was less than 4 cm (AUC:0.707 (95% CI, 0.430-0.984) tumor size < 3 cm), (AUC:0.726 (95% CI, 0.539-0.912) tumor size 3-4 cm), liver SUVmean had the highest efficiency when the tumor size was 4-5 cm (AUC:0.712 (95% CI, 0.535-0.889)), and TLR had the highest efficiency when the tumor size was 5-7 cm [AUC:0.925 (95%CI, 0.820-1.000)].

Conclusions

In patients with early NSCLC, glucose metabolism reprogramming occurs in the primary lesion and liver. With the increase in tumor size, different metabolic parameters should be selected to evaluate the prognosis of patients.

Defining oligometastatic non-small cell lung cancer: concept versus biology, a literature review

Objective

In this review, the concept of (synchronous) oligometastatic disease in patients with non-oncogene-driven non-small cell lung cancer (NSCLC) will be placed in the context of tumor biology and metastatic growth patterns. We will also provide considerations for clinical practice and future perspectives, which will ultimately lead to better patient selection and oligometastatic disease outcome.

Background

The treatment landscape of metastasized NSCLC has moved from "one-size fits all" to a personalized approach. Prognosis has traditionally been poor but new treatment options, such as immunotherapy and targeted therapy, brighten future perspectives. Another emerging development is the recognition of patients with so-called "oligometastatic" state of disease. Oligometastatic disease has been recognized as a distinct clinical presentation in which the tumor is stated to be early in its evolution of metastatic potential. It is suggested that this stage of disease has an indolent course, comes with a better prognosis and therefore could be considered for radical multimodality treatment.

Methods

Narrative overview of the literature synthesizing the findings of literature retrieved from searches of computerized databases, hand searches, and authoritative texts.

Conclusions

Oligometastatic NSCLC is a broad spectrum disease, with a variable prognosis. Although the biology and behavior of "intermediate state" of metastatic disease are not fully understood, there is evidence that a subgroup of patients can benefit from local radical treatment when integrated into a multimodality regime. The consensus definition of oligometastatic NSCLC, including accurate staging, may help to uniform future trials. The preferable treatment strategy seems to sequential systemic treatment with subsequent local radical treatment in patients with a partial response or stable disease. Prognostic factors such as N-stage, number and site of distant metastases, tumor volume, performance status, age, and tumor type should be considered. The local radical treatment strategy has to be discussed in a multidisciplinary team meeting, taking into account patient characteristics and invasiveness of the procedure. However, many aspects remain to be explored and learned about the cancer biology and characteristics of intermediate state tumors.

Development and External Validation of a Nomogram for Predicting Cancer-Specific Survival of Non-Small Cell Lung Cancer Patients With Ipsilateral Pleural Dissemination

Background

Non-small-cell lung cancer (NSCLC) patients with ipsilateral pleural dissemination are defined as M1a in the eighth of American Joint Committee on Cancer (AJCC) TNM staging. We aimed to build a nomogram to predict lung cancer specific survival (LCSS) of NSCLC patients with ipsilateral pleural dissemination and to compare the impact of primary tumor resection (PTR) on LCSS among patients with different features.

Methods

A total of 3,918 NSCLC patients with ipsilateral pleural dissemination were identified from the Surveillance, Epidemiology, and End Results (SEER) database. We selected and integrated significant prognostic factors based on competing risk regression to build a nomogram. The model was subjected to internal validation within SEER cohort and external validation with the cohort of 97 patients from Peking University People’s Hospital.

Results

Age (P < 0.001), gender (P = 0.037), T stage (P = 0.002), N stage (P < 0.001), metastasis pattern (P = 0.005), chemotherapy (P < 0.001), and PTR (P < 0.001) were independent prognostic factors. The calibration curves presented a good consistency and the Harrell’s C-index of nomogram were 0.682 (95%CI: 0.673–0.691), 0.687 (95%CI: 0.670–0.704) and 0.667 (95%CI: 0.584–0.750) in training, internal, and external validation cohort, respectively. Interaction tests suggested a greater LCSS difference caused by PTR in patients without chemotherapy (P < 0.001).

Conclusions

We developed a nomogram based on competing risk regression to reliably predict prognosis of NSCLC patients with ipsilateral pleural dissemination and validated this nomogram in an external Chinese cohort. This novel nomogram might be a practical tool for clinicians to anticipate the 1-, 3- and 5-year LCSS for NSCLC patients with pleural dissemination. Subgroup analysis indicated that patients without chemotherapy could get more benefit from PTR. In order to assess the role of PTR in the management of M1a patients more accurately, further prospective study would be urgently required.

Evaluation of the Effect of Lymph Node Status on the Survival of Non-Small Cell Lung Cancer Patients With Brain Metastases: Applications of a Novel Grade Prognostic Assessment Score Model Involving N Stage

Background

Grade prognostic assessment (GPA) is widely used to evaluate the prognosis of non-small cell lung cancer (NSCLC) patients with brain metastases (BMs). This study aimed to investigate whether lymph node status (LNS) could be included as one of the GPA variables for NSCLC with BMs.

Methods

Overall, 586 patients with NSCLC and BMs were retrospectively analyzed. Overall survival stratified by LNS was analyzed using the Kaplan-Meier method. Multivariate analysis was also performed to identify independent prognostic factors using the Cox proportional hazards progression model. In the updated GPA index, prognostic factors and criteria of GPA score were weighted by effect magnitude relative risk (RR) and statistical significance.

Results

In NSCLC patients with BMs, those with lymph node involvement had worse overall survival (mOS, 13.4 months vs. 25.9 months, P <0.001) than those without lymph node involvement. Multivariate analysis showed that LNS might be an independent prognostic factor (RR: 1.702, CI: 1.340–2.162, P <0.001). Finally, five prognostic factors including LNS, the age of the patient, Karnofsky performance status (KPS), the number of BMs, and extracranial metastases were enrolled in our novel GPA index. With the updated GPA index involving the N stage, survival analysis was also performed. Prognostic results were significantly different among these four subgroups (Class A vs. Class B, P=0.047; Class B vs. Class C, P<0.001; Class C vs. Class D, P=0.007).

Conclusions

These results indicate that LNS might be an indispensable prognostic factor in NSCLC with BM. The novel GPA model involving the N stage could provide more reliable evidence to estimate the survival of NSCLC patients with BMs.

Primary tumour resection in non-small-cell lung cancer patients with ipsilateral pleural dissemination (M1a): a population-based study

OBJECTIVES

Non-small-cell lung cancer (NSCLC) patients with ipsilateral pleural dissemination (M1a) are generally contraindicated for surgery. However, several small-sample studies have demonstrated that they might benefit from surgery. We investigated the effects of primary tumour resection on survival in these patients.

METHODS

Stage IV NSCLC patients with ipsilateral pleural dissemination were identified from the US National Cancer Institute Surveillance, Epidemiology and End Results database entries from 2010 to 2015. Survival analysis was performed before and after matching. Multivariable regression models were built to identify prognostic factors.

RESULTS

Of the 5513 patients with ipsilateral pleural dissemination, 309 underwent primary tumour resection. In the entire cohort, surgery was associated with improved overall survival (OS) in both the unmatched and matched cohorts (both log rank, P < 0.001). In the surgery-recommended cohort, patients treated with surgery also had significantly longer OS before and after matching. Multivariable regression models showed that surgery was an independent favourable prognostic factor for OS [hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.48-0.65; P < 0.001] and lung cancer-specific mortality (subhazard ratio 0.60, 95% CI 0.51-0.70; P < 0.001). Surgery was independently associated with improved survival in all subgroups except for those with pericardial effusion (P = 0.065) or N3 disease (P = 0.17). In the surgical cohort, patients who underwent lobe/bilobectomy had significantly better OS than those who underwent sublobar resection (log rank, P < 0.001).

CONCLUSIONS

Inclusion of primary tumour resection in multimodal therapy of NSCLC was associated with improved survival in selected patients with ipsilateral pleural dissemination, except for those with pericardial effusion or N3 disease.

Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival

IMPORTANCE

There is a lack of studies exploring the performance of a deep learning survival neural network in non-small cell lung cancer (NSCLC).

OBJECTIVES

To compare the performances of DeepSurv, a deep learning survival neural network with a tumor, node, and metastasis staging system in the prediction of survival and test the reliability of individual treatment recommendations provided by the deep learning survival neural network.

DESIGN, SETTING, AND PARTICIPANTS

In this population-based cohort study, a deep learning-based algorithm was developed and validated using consecutive cases of newly diagnosed stages I to IV NSCLC between January 2010 and December 2015 in a Surveillance, Epidemiology, and End Results database. A total of 127 features, including patient characteristics, tumor stage, and treatment strategies, were assessed for analysis. The algorithm was externally validated on an independent test cohort, comprising 1182 patients with stage I to III NSCLC diagnosed between January 2009 and December 2013 in Shanghai Pulmonary Hospital. Analysis began January 2018 and ended June 2019.

MAIN OUTCOMES AND MEASURES

The deep learning survival neural network model was compared with the tumor, node, and metastasis staging system for lung cancer-specific survival. The C statistic was used to assess the performance of models. A user-friendly interface was provided to facilitate the survival predictions and treatment recommendations of the deep learning survival neural network model.

RESULTS

Of 17 322 patients with NSCLC included in the study, 13 361 (77.1%) were white and the median (interquartile range) age was 68 (61-74) years. The majority of tumors were stage I disease (10 273 [59.3%]) and adenocarcinoma (11 985 [69.2%]). The median (interquartile range) follow-up time was 24 (10-43) months. There were 3119 patients who had lung cancer-related death during the follow-up period. The deep learning survival neural network model showed more promising results in the prediction of lung cancer-specific survival than the tumor, node, and metastasis stage on the test data set (C statistic = 0.739 vs 0.706). The population who received the recommended treatments had superior survival rates than those who received treatments not recommended (hazard ratio, 2.99; 95% CI, 2.49-3.59; P < .001), which was verified by propensity score-matched groups. The deep learning survival neural network model visualization was realized by a user-friendly graphic interface.

CONCLUSIONS AND RELEVANCE

The deep learning survival neural network model shows potential benefits in prognostic evaluation and treatment recommendation with respect to lung cancer-specific survival. This novel analytical approach may provide reliable individual survival information and treatment recommendations.

Management of oligometastatic non-small cell lung cancer patients: Current controversies and future directions

Oligometastatic non-small cell lung cancer (NSCLC) describes an intermediate stage of NSCLC between localized and widely-disseminated disease. This stage of NSCLC is characterized by a limited number of metastases and a more indolent tumor biology. Currently, the management of oligometastatic NSCLC involves radical treatment (radiotherapy or surgery) that targets the metastatic lesions and the primary tumor to achieve disease control. This approach offers the potential to achieve prolonged survival in patients who, in the past, would have only received palliative measures. The optimal therapeutic strategies for the different scenarios of oligometastatic disease (intracranial vs extracranial disease, synchronous vs metachronous) remain undefined. Given the lack of head-to-head studies comparing radiotherapy to surgery in these patients, the decision to apply surgery or radiotherapy (with or without systemic treatment) must be based on prognostic factors that allow us to classify patients. This classification will allow us to select the most appropriate therapeutic strategy on an individualized basis. In the future, the molecular or microRNA profiles will likely improve the treatment selection process. The objective of the present article is to review the most relevant scientific evidence on the management of patients with oligometastatic NSCLC, focusing on the role of radiotherapy and surgery. We also discuss areas of controversy and future directions.

High Expression of FGF5 Is an Independent Prognostic Factor for Poor Overall Survival and Relapse-Free Survival in Lung Adenocarcinoma

Lung cancer is not only a serious disease but also a public problem threatening human health all over the world. Nonsmall cell lung cancer-which accounts for the majority of lung cancer-is mainly composed of lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). FGF5 is a gene located in q21.21. In the past years, research on FGF5 is mainly focused on hair length and hereditary spherocytosis. In our study, bioinformatics analysis of FGF5 was performed through multiple databases. Expression of FGF5 was compared between tumor and normal tissues, association between gene expression and clinical outcomes was investigated in LUAD and LUSC separately, and potential signaling pathways were predicted. FGF5 expression was upregulated in lung cancer tissues compared with normal tissues. What is more, the high FGF5 expression group had significantly lower proportions of lymph node negative (N0) patients (77/144, 53.5%, vs. 253/358, 70.7%, p = 0.000), and is associated with worse overall survival (OS) (p < 0.0001) and relapse-free survival (RFS) (p = 0.024) in LUAD patients, which could not be seen in LUSC. The following analysis confirmed that high FGF5 expression could be an independent prognostic factor for poor OS (HR: 0.431, 95% CI: 0.312-0.597, p = 0.001) and RFS (HR: 0.678, 95% CI: 0.471-0.977, p = 0.037) in LUAD, but not in LUSC. Coexpression genes related to FGF5 were explored and potential pathways were investigated for further research. FGF5 is a tumor-associated gene that upregulated in lung cancer tissues, and could be an independent prognostic factor that have potential value for further research.

The prognostic impact of lymph node metastasis in patients with non-small cell lung cancer and distant organ metastasis

This study aimed to identify the prognostic value of lymph node metastasis in patients with non-small cell lung cancer (NSCLC) and distant organ metastasis. A total of 42,613 NSCLC patients with distant metastasis from the surveillance, epidemiology, and end results database between 2010 and 2013 were included for analysis. The proportion of N0 stage in M1a patients was significantly higher than that in M1b patients, 34.0% and 22.7% respectively (P < 0.001). Compared with N0 patients, patients had higher odds of experiencing multiorgan metastases (MOM) if they had higher N stage at diagnoses (P < 0.001). The Kaplan-Meier curves suggested both M1a and M1b groups patients at stage N0 had better survival than those at higher N stage (P < 0.001). Further analysis indicated that better survival was observed in N0 stage compared with N2 or N3 stage if patients had bone metastasis, brain metastasis, or MOM (P < 0.001, P < 0.001, and P = 0.002, respectively), but there was no significant difference in survival among each N stage patients with liver metastasis only. Cox regression analysis showed that compared with N0 patients, higher hazard for disease-specific mortality was observed for patients with higher N stage. Among NSCLC patients with distant organ metastasis, lymph node metastasis was associated with higher odds of experiencing MOM and a worse prognosis in terms of longer survival except patients with liver metastasis. Better understandings of the role of lymphatic metastasis in M1 NSCLC could help clinicians with better management of the disease.

Prognostic factors and nomogram for cancer-specific death in non small cell lung cancer with malignant pericardial effusion

Background

The prognosis of lung cancer with malignant pericardial effusion is very terrible owing to the impact of cardiac tamponade. The aim of our study seeks to identify prognostic factors and establish a prognostic nomogram of non small cell lung cancer (NSCLC) with malignant pericardial effusion.

Methods

NSCLC patients with malignant pericardial effusion between 2010 and 2014 are searched from SEER database.Cancer-specific death of these patients are analyzed through the Kaplan–Meier method, Cox proportional hazard model and competing risk model. Prognostic nomogram of cancer-specific death is performed and validated with concordance index (C-index), calibration plots and internal validation population. Propensity score matching is used to evaluate whether chemotherapy affected the survival of study population.

Results

696 eligible NSCLC patients are involved in the study population, with 22.7% of 1-year survival rate and 8.9% of 2-year survival rate. Laterality, AJCC N, AJCC T, and chemotherapy are regarded as independent prognostic factors of cancer-specific death in the Cox proportional hazards model and competing risk model. The C-index of established nomogram is 0.703(95%CI:0.68–0.73) for cancer-specific death in the study population with acceptable calibration, which is significantly higher than classical TNM stage(C-index = 0.56, 95%CI:0.52–0.60). After 1:1 propensity score matching, chemotherapy potentially reduces the risk of cancer-specific death (HR = 0.42 95%CI: 0.31–0.58) of NSCLC with pericardial effusion.

Conclusions

NSCLC with malignant pericardial effusion harbors low overall survival. One prognostic nomogram based on laterality, AJCC N, AJCC T and chemotherapy is developed for cancer-specific death to predict 1-year and 2-year survival rate with good performance.

Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer

Purpose

This study aimed to establish a nomogram to predict the overall survival (OS) of the general non-small-cell lung cancer (NSCLC) patients with distant metastasis.

Patients and methods

We investigated Surveillance, Epidemiology, and End Results database for NSCLC patients with distant metastasis diagnosed between 2010 and 2014. Statistically significant prognostic factors were identified using uni- and multivariable Cox regression analyses. A nomogram incorporating these prognostic factors was developed and evaluated by the Harrell's concordance index (C-index), calibration plots, and risk group stratifications.

Results

We finally included 18,209 patients for analysis. These patients were divided into two groups, 14,567 cases for the training cohort and 3,642 for the validation cohort. Marital status, sex, race, age, histology, T stage, N stage, histological differentiation, bone metastasis, brain metastasis, liver metastasis, with M1a disease, surgery of primary cancer, and chemotherapy were identified as the prognostic factors of the OS and integrated to construct the nomogram. The nomogram had a C-index of 0.704 (95% CI: 0.699-0.709) in the training set and 0.699 (95% CI: 0.689-0.709) in the validation set. The calibration curves for 1- and 2-year OS in the training and validation sets showed acceptable agreement between the predicted and observed survival. Also, the nomogram was capable of stratifying patients into different risk groups within the patients who presented with bone, liver, or brain metastasis, as well as in each T, N stage, respectively.

Conclusion

A nomogram was established and validated to predict individual prognosis for the general patients with distantly metastatic NSCLC. Global prospective data with the latest TNM classification and more comprehensive prognostic factors are needed to improve this model.

Lymphatic vessel density as a prognostic indicator in Asian NSCLC patients: a meta-analysis

BACKGROUND

To determine the association of lymphatic vessel density (LVD) with the prognosis of Asian non-small cell lung cancer (NSCLC) patients via a meta-analysis.

METHODS

Eligible studies were selected by searching PubMed and EMBASE from inception to July 25, 2017. The reference lists of the retrieved articles were also consulted. The information was independently screened by two authors. When heterogeneity was significant, a random-effects model was used to determine overall pooled risk estimates.

RESULTS

A total of 15 studies with 1075 patients were finally included in the meta-analysis. LVD was positively associated with the prognosis of NSCLC in the overall analysis (hazard ratio (HR) 1.14, 95% confidence interval (95% CI): 1.02-1.27, p = 0.000, I² = 73.2%). Subgroup analyses were performed on 5 VEGFR-3 groups (p = 0.709, I² = 0.0%), 3 LYVE-1 groups (p = 0.01, I² = 86.4%), 5 D2-40 groups (p = 0.019, I² = 66.2%), and 2 podoplanin groups (p = 0.094, I² = 64.5%). Sensitivity analysis indicated robust results. There was no publication bias.

CONCLUSIONS

LVD is an indicator of poor prognosis in Asian NSCLC patients.

[Observation - An Favorable Option Forthoracic Dissemination Patients with Lung Adenocarcinoma or Squamous Carcinoma]

背景与目的

手术非晚期期患者治疗的标准治疗，但是大量的回顾性研究显示胸腔内播散型肺癌接受主病灶切除后获益明显。非标准治疗之后患者该选择何种治疗策略？本研究通过回顾性数据去探究接受了主病灶切除的胸腔内播散型肺癌患者接下来何总治疗方式更优。

方法

回顾性收集早期肺腺癌或肺鳞癌且复发模式为胸腔内播散型患者；或拟行肺癌根治术，但术中胸腔探查发现胸腔内播散，接受主病灶切除的肺腺癌或肺鳞癌患者的一般资料、病理、淋巴结状态、基因突变状态、初始治疗方式等，随访至进展、死亡或失访，记录患者无进展生存时间、总生存时间、从确诊到开始治疗的时间。通过Kaplan-Meier绘制生存曲线，Log-rank检验比较组间生存差异，Cox比例回归风险模型分析无进展生存期（progression-free survival, PFS）和总生存期（overall survival, OS）相关预后因子。

结果

研究共纳入141例患者，70例r-M1a和71例s-M1a1患者。化疗组、靶向组、随访观察组患者中位PFS分别是14.7个月、41.0个月和31.0个月（95%CI: 19.01-26.01; P < 0.001），靶向治疗组和随访观察组患者PFS差异无统计学意义（P=0.600）。中位OS分别为39.0个月、42.6个月和38.1个月（95%CI: 32.47-45.33; P=0.478）。TTI < 3个月组和TTI≥3个月组患者的中位PFS分别是15.2个月和31.0个月（95%CI: 19.01-26.06; P<0.001），中位OS分别是41.7个月和38.7个月（95%CI: 32.47-45.33; P=0.714）。多因素分析显示性别（P=0.027）、淋巴结状态（P=0.036）、初始治疗方式（P<0.001）是PFS独立预后因子。

结论

随访观察不会缩短胸腔内播散腺癌和鳞癌患者的生存时间，是一种可选的治疗策略。

Prognostic Impact of Extracapsular Lymph Node Invasion on Survival in Non-small-Cell Lung Cancer: A Systematic Review and Meta-analysis

The extracapsular tumor extension (ECE) of nodal metastasis is an important prognostic factor in different types of malignancies. However, there is a lack of recent data in patients with non-small-cell lung cancer (NSCLC). In addition, the TNM staging system does not include ECE status as a prognostic factor. This systematic review and meta-analysis has been conducted to summarize and pool existing data to determine the prognostic role of ECE in patients with lymph node-positive NSCLC. Two authors performed an independent search in PubMed using a predefined keyword list, without language restrictions with publication date since 1990. Prospective or retrospective studies reporting data on prognostic parameters in subjects with NSCLC with positive ECE or with only intracapsular lymph node metastasis were retrieved. Data were summarized using risk ratios (RR) for the survival with 95% confidence intervals (CI). The data was analyzed using Mix 2 (ref: Bax L: MIX 2.0 - Professional software for meta-analysis in Excel. Version 2.015. BiostatXL, 2016. https://www.meta-analysis-made-easy.com ). There 2,105 studies were reviewed. Five studies covering a total of 828 subjects met the inclusion criteria and were included in the meta-analysis. Two hundred and ninety-eight (35.9%) patients were categorized as ECE+, of whom 54 (18.1%) survived at the end of follow-up. In the ECE-negative group, 257 patients (48.4%) survived by the end of follow-up. Thus, ECE status is associated with a significantly decreased survival rate: pooled RR 0.45 (95% CI 0.35-0.59), Q ₍₄₎ = 4.06, P _value = 0.39, and I ² = 68.00% (95 CI 0.00-79.55%). In conclusion, ECE has a significant impact on survival in NSCLC patients and should be considered in diagnostic and therapeutic decisions in addition to the current TNM staging. Postoperative radiotherapy may be an option in ECE-positive pN1 NSCLC patients.

Relationship of Lymph Node Micrometastasis and Micropapillary Component and Their Joint Influence on Prognosis of Patients With Stage I Lung Adenocarcinoma

This study aimed to investigate the relationship between lymph node micrometastasis and histologic patterns of adenocarcinoma, with a particular focus on their joint effect on prognosis. We retrospectively reviewed 235 patients with stage I adenocarcinoma from January 2009 to December 2009. Lymph node micrometastasis was evaluated by immunohistochemical staining for cytokeratin (AE1/AE3) and thyroid transcription factor-1. A logistic regression model was applied to confirm the predictive factors of micrometastasis. Survival analysis was performed to evaluate the effect of micrometastasis on prognosis. Lymph node micrometastasis was observed in 35 patients (15%). Patients with micrometastasis had significantly worse recurrence-free survival (P<0.001) and overall survival (P<0.001) compared with those without micrometastasis. Micropapillary component was confirmed as an independent predictor of increased frequency of micrometastasis (P<0.001). Among 62 patients with adenocarcinoma with a micropapillary component, 23 (37%) had lymph node micrometastasis. Micropapillary-positive/micrometastasis-positive patients had significantly worse survival compared with micropapillary-positive/micrometastasis-negative patients (RFS, P=0.039; OS, P=0.002) and micropapillary-negative patients (recurrence-free survival, P<0.001; overall survival, P<0.001). Moreover, the presence of micrometastasis correlated with a higher risk of locoregional recurrence (P=0.031) rather than distant recurrence (P=0.456) in micropapillary-positive patients. In summary, lymph node micrometastasis was more frequently observed in adenocarcinoma with a micropapillary component. Moreover, lymph node micrometastasis could provide helpful prognostic information in patients with resected stage I lung adenocarcinoma with a micropapillary component; thus, immunohistochemical detection of micrometastatic tumor cells in lymph nodes should be recommended.

Relationship between Contrast-Enhanced CT and Clinicopathological Characteristics and Prognosis of Non-Small Cell Lung Cancer

BACKGROUND

This study investigated the relationship between contrast-enhanced computed tomography (CECT) and clinicopathological characteristics and prognosis of non-small cell lung cancer (NSCLC).

METHODS

A total of 198 NSCLC patients admitted to Enze Hospital from February 2009 to July 2012 underwent pre-surgical CECT to investigate parameters such as tumor size, CECT enhancement, lymph node enlargement, and lymph node size. Chi-square and log-rank tests were used to analyze associations between CECT parameters and pathological features as well as correlations of CECT parameters with prognosis. A Cox proportional hazard model and logistic regression analysis were applied to identify independent risk factors for prognosis.

RESULTS

Tumor size, CECT enhancement, and lymph node enlargement and size were related to degree of differentiation, TNM stage, and lymph node metastasis. Tumor size, lymph node enlargement and metastasis, lymph node size, and CECT enhancement were independent risk factors for NSCLC prognosis. Large tumors and lymph nodes, tumor enhancement, and enlarged and metastatic lymph nodes indicated a poor prognosis.

CONCLUSION

Our study indicates that CECT features can be associated with clinicopathological characteristics and can predict the prognosis of patients with NSCLC.

Lymph node status have a prognostic impact in breast cancer patients with distant metastasis

BACKGROUND

The objective of this retrospective study was to determine whether lymph node metastasis has a prognostic impact on patients with stage IV breast cancer.

PATIENTS AND METHODS

Seven thousand three hundred and seventy-nine patients with de novo stage IV breast cancer diagnosed from 2004 to 2013 were identified. Kaplan-Meier estimate method was fitted to measure overall survival and breast cancer-specific survival (BCSS). Cox proportional hazard analysis was used to evaluate the association between N stage and BCSS after controlling variables such as other patient/tumor characteristics.

RESULTS

The primary site of M1 tumors was mainly upper-outer quadrant and overlapping lesion of the breast. Patients with N1 disease had better overall survival and BCSS than did those without lymph node metastasis. The overall survival and BCSS of M1 patients with N3 disease were significantly lower than that of those with N0, N1 and N2 disease, whereas patients with N2 and N0/N1 involvement showed no significant difference with survival. Multivariate analysis showed that lymph node metastasis was an important prognostic factor for M1 patients (N1 versus N0, hazard ratio [HR] = 0.902, 95% confidence interval [CI]: 0.825-0.986, p = 0.023; N3 versus N0, HR = 1.161, 95% CI: 1.055-1.276, p = 0.002). For M1 patients, age, race, marital status, primary site, ER, PR and HER2 were the independent prognostic factors.

CONCLUSIONS

The cohort study provides an insight into de novo stage IV breast cancer with lymph node metastasis. Our results indicated that accurate lymph node evaluation for stage IV patients is still necessary to obtain important prognostic information.

Ablative Therapy for Oligometastatic Non-Small Cell Lung Cancer

The oligometastatic state represents a distinct entity among those with metastatic disease and consists of patients with metastases limited in number and location, representing an intermediate state between locally confined and widely metastatic cancer. Although similar, "oligorecurrence" (limited number of metachronous metastases under conditions of a controlled primary lesion) and "oligoprogressive" (disease progression at a limited number of sites with disease controlled at other disease sites) states are distinct entities. In non-small cell lung cancer (NSCLC), the oligometastatic state is relatively common, with 20% to 50% of patients having oligometastatic disease at diagnosis. This subgroup of patients when receiving ablative therapy, such as surgery or stereotactic body radiation radiotherapy, can obtain markedly long progression-free and overall survival. The role of radical treatment for intracranial oligometastases is well established. Fewer data exist regarding radical treatment of extracranial metastases in lung cancer; however, retrospective series using surgery or stereotactic body radiotherapy for extracranial oligometastatic disease in NSCLC have shown excellent local control, with a suggestion of improvement in progression-free survival. In the present report, we have reviewed the data on the treatment of brain metastases in oligometastatic NSCLC and the results of ablative treatment of extracranial sites. Recently, the first randomized trial comparing ablative treatment versus control in oligometastatic disease was reported, and those data are reviewed in the context of smaller series. Finally, areas of controversy are discussed and a therapeutic approach for patients with oligometastatic disease is proposed.