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Enlarged Mediastinal Lymph Nodes in Computed Tomography are a Valuable Prognostic Factor in Non-Small Cell Lung Cancer Patients with Pathologically Negative Lymph Nodes

Authors Zheng Y, Huang Y, Bi G , Chen Z, Lu T, Xu S, Zhan C , Wang Q 

Received 9 July 2020

Accepted for publication 21 September 2020

Published 29 October 2020 Volume 2020:12 Pages 10875—10886

DOI https://doi.org/10.2147/CMAR.S271365

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Eileen O'Reilly



Yuansheng Zheng,1,* Yiwei Huang,1,* Guoshu Bi,1,* Zhencong Chen,1 Tao Lu,1 Songtao Xu,1,2 Cheng Zhan,1 Qun Wang1

1Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai City, People’s Republic of China; 2Department of Thoracic Surgery, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen City, Fujian Province, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Cheng Zhan; Qun Wang
Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, No. 180, Fenglin Road, Shanghai 200032, People’s Republic of China
Tel/Fax +86-21-64041990
Email [email protected]; [email protected]

Background: Most non-small cell lung cancer patients with enlarged mediastinal lymph nodes (LN) in preoperative computer tomography (CT) images are diagnosed with N0 in the pathological examination after surgery. However, these patients seem to have worse survival than those without enlarged mediastinal LN in our clinical practice. This study aimed to investigate whether the size of mediastinal LN is correlated with the prognosis in pathological N0 patients, which could help us to predict the prognoses further.
Methods: The retrospective cohort study involved 758 N0 patients with a thin layer CT scan. We have measured the size of mediastinal LN, including long diameter, short diameter, and volume on CT image, and classified patients by X-tile. Next, we explored the risk factors of enlarged LN by univariate and multivariate logistic analysis. Then, we have compared the 5-year cancer-specific survival by Kaplan–Meier and log-rank method. Multivariate Cox analysis was utilized to further survival analysis. Finally, we have constructed the prediction model by nomogram.
Results: A total of 150 N0 patients (19.8%) had mediastinal LN enlargement in our study. After multivariate logistic analysis, we found the LN enlargement was significantly correlated with age (p=0.001), pathology (p < 0.001) and tumor recurrence (p < 0.001). The patients with LN enlargement had a worse 5-year cancer-specific survival (75.3% vs 92.8%, p < 0.001) after Kaplan–Meier analysis. Patients with a larger volume had increased risk of tumor-associated death when compared with the normal group (p < 0.001) by multivariate Cox analyses.
Conclusion: N0 patients with larger mediastinal LN had a worse 5-year cancer-specific survival and a higher risk of recurrence. The volume of LN was the most valuable prognostic factor in N0 patients.

Keywords: mediastinal lymph nodes, enlarged, prognosis, computed tomography

Introduction

Non-small cell lung cancer (NSCLC) is the most commonly diagnosed cancer worldwide, and the 5-year overall survival is still relatively low, which has caused an enormous medical burden.1,2 Many patients are diagnosed with cancer in an advanced stage, and the precise tumor node metastasis stage is related to therapy and prognosis.3 The presence and anatomical extent of histologically confirmed lymph node (LN) metastases are critical prognostic factors.4,5 Mediastinal LN () involvement is reported to be present in about one-third of these cases at the time of initial diagnosis. A mediastinum LN staging (N-staging) of non-small cell lung cancer (NSCLC) is essential in choosing the treatment course.The main sign for predicting LN involvement before surgery is still enlargement; the primary means of detection before surgery is, therefore, computed tomography (CT). CT provides the most detailed imaging information, so it is generally used as a routine imaging procedure in the tumor node metastasis (TNM) staging of patients with lung cancer.6 Chest CT images usually show the tumor size and the mediastinal space. Many studies have investigated the predictive value of CT in N staging. It is for this reason that CT chest is standard of care in preoperative assessment, as is PET-CT scan. A few studies suggested the bulky mediastinal LN could cause worse survival in N2 staging patients.79 Some studies reported that different parameters of LN measured by CT improved the predictive value of evaluating mediastinum LN in lung cancer.10 However, more than half of patients with mediastinum LN enlargement had no LN metastasis.

Among most previous studies, the standard for the diagnosis of LN enlargement was more than the 6–8 mm for a short diameter or more than 10–15 mm for a long diameter, but there is still no consensus.1114 Although a few studies have mentioned the size of mediastinum LN, few studies have used the short diameter or other parameters of mediastinum LN. Most studies were mainly concerned about the relationship of LN enlargement to LN metastasis or the LN positive percentage. Still, few studies mentioned the prognoses in LN enlargement patients without LN metastasis. The aim of the present study was, therefore, to determine whether the size of negative mediastinum LN before surgery, measured by CT which underwent in one month before surgery, including the long diameter, short diameter, and volume were prognostic factors in patients with NSCLC in N0 stages, which could provide a new reference for the mechanism exploration and further therapies.

Methods

Approval

Our study was approved by the Ethics Committee of Zhongshan Hospital (B2017-115), Fudan University in Shanghai, and complied with the Declaration of Helsinki. The patient consent to review their medical records was waived because our study was a retrospective non-interventive study, which did no harm to patients. The scans and patient information were strictly confidential to prevent linkage. The information in databases was permitted from the dataset owner. The data were collected from NSCLC patients who were treated with radical surgery of lung cancer and lymphadenectomy in the Department of Thoracic Surgery, Zhongshan Hospital in Shanghai, from January 1, 2013, to December 31, 2014. Every patient has received complete care in preoperative assessment according to the National Comprehensive Cancer Network (NCCN) guideline. The lung cancer patients with a thin layer CT scan (1 layer per 1mm) in 1 month before surgery and pathological N0 staging based on the surgical specimen were included in our study. The patients with positive LN, Tx staging, M1 or Mx staging, benign tumors, or metastasis carcinomas confirmed by postoperative pathology were excluded. We also reevaluated the stage of patients according to the eighth edition of the American Joint Committee on Cancer TNM staging. The N0 patients with LN enlargement have received endobronchial ultrasound (EBUS) before surgery, and the results were negative 35.0% (265/758) patients had a PET/CT scan before surgery in our study. Only four patients had intraoperative mediastinoscopy.

Follow-Up and Data Collection

The general information of patients was obtained from medical records in the hospital, and the disease association details were obtained during the perioperative and postoperative periods. The patients were followed up with chest CT every three months in the first year and every six months in the second year. Then the patients were followed up with CT every 6~12 months a year. The last follow-up was carried out in December 2019, and the median follow-up time was 56 months. At the same time, the overall survival (OS) data, including cancer-specific survival data, recurrence data, and therapy data, was updated based on information obtained from telephone or direct outpatient clinical visits every six months a year. The primary ending points of the follow-up involved the death of patients, and the secondary endpoints were cancer recurrence. Survival time was censored at the date of lost follow-up, the last contact, and the date of death from other causes, whichever came first.

Classification of LN

All patients in our study had a thin chest layer CT scan (1 layer per 1mm) in 1 month before surgery, and will receive a surgery therapy after TNM staging. We have measured the long diameter and short diameter of enlarged mediastinal LN at the maximum section on CT directly. The definition of LN enlargement (LN enlargement) was a long diameter > 10 mm or short diameter > 6 mm. The long axis and short axis diameters were measured in the maximal section, and the volume of LN was calculated using the formula, V=π/6*long diameter*short diameter^2. The LN of the normal group, therefore, included patients with non-enlarged LN (long diameter < 10 mm and short diameter < 6 mm). In contrast, the LN enlargement group was comprised of patients with an enlarged LN. We used the X-tile, a software which can select the optimal division of the data by choosing the highest χ2 value, to obtain the best cut-off value (long diameter = 18 mm, short diameter =10 mm, volume = 600 mm3).15 We divided the LN enlargement group into two subgroups according to the long diameter, short diameter, or volume.

Statistical Analysis

All analyses were performed with SPSS statistical software for Windows, version 24.0 (IBM, Armonk, NY, USA) and R software, version 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria). Categorical variables were compared using Fisher’s exact test, and Student’s t-test compared Pearson’s Chi-squared test and continuous variables. Binary logistic regression analysis was performed to identify predictors for mediastinum LN enlargement. The Kaplan–Meier method with the Log rank test was used to compare 5-year CSS curves. Cox regression was used for univariable and multivariable analyses to compare the hazard ratios and constructed prediction model of CSS. A competitive risk model was conducted with R software using the “cmprsk” package to compare the cumulative risk of tumor-associated death and other death. All statistical tests were two-sided, and a value of p < 0.05 was considered statistically significant.

Results

A total of 758 NSCLC patients in N0 staging were analyzed in this study, including 376 males (49.6%) and 382 females (50.4%). According to the results from chest CT images, we divided the patients into two groups based on the size of the mediastinum LN, which included 150 patients (19.1%) with LN enlargements and 608 patients (80.9%) without LN enlargement. The baseline clinical characteristics are shown in Table 1. There was no significant difference in the family history of NSCLC (p = 1.000) between the two groups by Pearson’s Chi-squared test based on Table 1. We had defined a positive family history of NSCLC when the biological relatives of patients had NSCLC. However, we found that the probability of LN enlargement in males (p < 0.001), aged (p = 0.001) smoking (p < 0.001), squamous cell carcinoma (p < 0.001) and advanced T (p < 0.001), patients was higher by Fisher’s exact test, Pearson’s Chi-squared test and Student’s t-test (age). And after Pearson’s Chi-squared test, we also found the LN enlargement patients had more risk of recurrence of cancer (p<0.001), and patients with LN enlargement before surgery may have a high probability of adjuvant therapy after surgery (p<0.001). The lung (44/102 patients, 43%) was the first recurrence site of all recurrence patients in our study (Supplementary Figure 1A).

Table 1 Patient Characteristics According to the Status of CT Lymph Nodes

The Distribution and Risk Factors of LN Enlargement

The standard of LN enlargement in our article was a long diameter > 10 mm or short diameter > 6 mm. The grouping results based on different parameters, including long diameter, short diameter, and volume, are shown in Figure 1A. We also identified potential predictors of LN enlargement using univariate and multivariate logistics analyses (Supplement Table 1). We found that aging (p = 0.004), squamous cell carcinoma (p =0.003), and advanced T stage (p=0.045) were significant risk factors of LN enlargement. At the same time, there was no significant difference in sex (p = 0.095) and smoking (p = 0.428) in multivariate logistics analyses. The logistics analyses result also showed that LN enlargement had a higher risk of cancer recurrence (p <0.001), and the Figure 1B showed the first recurrence site of patients with LN enlargement preferred the lung (10 patients, 35%) and brain (6 patients, 21%). A nomogram, including the variables independently related to LN enlargement, is shown in Figure 1C. The nomogram had a c-index of 0.747 (Supplementary Figure 2A), which indicated a relatively good ability to discriminate (77.3% specificity and 62.7% sensitivity). The calibration plots of the nomogram prediction accuracy are shown in Figure 1D, and the results showed good agreement of the actual and predicted LN enlargement risks (mean absolute error = 0.015).

Figure 1 The distribution of enlarged LN in different size (A). The pie of the first recurrence site of patients with LN enlargement (B). The nomogram to predict LN enlargement risk of patients with NSCLC (C) and calibration plots (D). *p<0.05; **p<0.01; ***p<0.001. Abbreviations: LN, lymph nodes; LNE, lymph nodes enlargement.

The Group with a Larger Mediastinum LN Size Had a Worse Survival of NSCLC Patients

The 5-year cancer-specific survivals of the enlarged and non-enlarged groups were 75.3% and 92.8% (p < 0.0001), respectively, in NSCLC patients, compared by the Kaplan–Meier method with the Log rank test, and the KM-curve of the CSS is shown in Figure 2A. We divided all patients into three groups by X-tile based on every parameter of LN size, including long diameter (< 10 mm, 10~18 mm, >18 mm), short diameter (< 6 mm, 6~10 mm, > 10 mm), and volume (< 200 mm3, 200~600 mm3, > 600 mm3), with the survival curves shown in Figure 2B–D. We observed that every group with a larger LN size had a worse 5-year cancer-specific survivals by long diameter (93.0% vs 79.6% vs 75.5%; p < 0.0001), short diameter (93.0% vs 89.5% vs 71.5%; p <0.0001), and volume (93.0% vs 85.7% vs 73.5%; p < 0.0001), based on Kaplan–Meier method. The results of the competitive risk model (Figure 3A) showed the patients with LN enlargement still had a worse tumor-associated 5-year survival after excluding the interference of other no-tumor deaths. We also found there was a significant difference in tumor-associated 5-year survival between different sizes, including long diameters (p < 0.001), short diameter (p < 0.001), and volume (p < 0.001) in subgroup analysis (Figure 3B–D). The nomogram of the competing risk model after the multivariate logistic analysis is shown in Supplementary Figure 2B. T stage (p<0.001) and LN enlargement (p = 0.010) were good prognosis predictors for tumor-associated death. In addition, Figure 4 and Supplementary Figure 3 shows that the cumulative survival of NSCLC patients with other risk factors showed significant survival differences by Kaplan–Meier method according to sex (p < 0.001), smoking (p < 0.001), pathology (p = 0.021), T stage (p < 0.001), adjuvant therapy (p < 0.001) and recurrence (p < 0.001). We also found the LN enlargement patients had a worse OS in the non-adjuvant therapy subgroup (p<0.001) and the adjuvant therapy subgroup (p=0.077) after Kaplan–Meier analyses (Supplementary Figure 2C and D).

Figure 2 Kaplan–Meier estimate of cancer-specific survival of patients by LN enlargement (A), long diameter (B), short diameter (C) and volume (D).

Figure 3 The cumulative incidence of LN enlargement (A) and different LN size including long diameter (B), short diameter (C) and volume (D) in competitive risk model.

Figure 4 Kaplan–Meier estimate of cancer-specific survival of patients by pathology (A), sex (B), smoking (C) and T staging (D).

Volume Was a Valuable Predictive Factor After the MVA Cox Analysis

Results of the univariate (UVA) and multivariate (MVA) Cox proportional hazards regressions are shown in Table 2. We found that sex (p < 0.001), smoking (p < 0.001), pathology (p = 0.002), T stage (p < 0.001), adjuvant therapy (p=0.029), recurrence (p < 0.001) and volume of LN (p < 0.001) were independently able to predict survival in UVA. MVA included all covariates with a value of p < 0.1 in UVA, and only T stage (p<0.001), adjuvant therapy (p=0.037), recurrence (p < 0.001), and volume (p < 0.001) were able to predict survival in MVA. The nomogram of the prognostic predictors in MVA is shown in Figure 5A. The 3- or 5-year CSSs were estimated by adding the points corresponding to the patient’s characteristics. The Cox model had a c-index of 0.787 (95% CI 0.738–0.836), which suggested relatively good discriminative ability. Calibration plots of the nomogram prediction accuracy are shown in Figure 5B–C, which indicated a good agreement of actual and predicted 3- and 5-year CSS.

Table 2 The Result of UVA and MVA Cox Proportional Hazards Regression

Figure 5 Nomogram to predict 3- and 5-year overall survival of patients with NSCLC (A) and calibration plots (B, C) *p<0.05; ***p<0.001.

Discussion

Our study investigated the predictive value of mediastinum LN size measured by CT in NSCLC patients with LN negative (shown in graphical abstract). We found that nearly 20% of NSCLC patients had enlarged negative mediastinum LN, and those patients with LN enlargement were still associated with a worse prognosis. The risk factors of LN enlargement included aging and squamous cell cancer. The patients with enlarged negative LN also had a higher risk of cancer relapse, and the first recurrence site was lung in patients with LN enlargement. Besides, the LN volume could be a very valuable prognostic, predictive factor in NSCLC patients. To our knowledge, this study is the largest study of the relationship between the LN size and the prognosis of NSCLC patients in N0 staging.

LN enlargement, a common phenomenon in NSCLC patients, has been reported to be a good indicator of LN metastasis. Verschakelen et al found that absolute LN size was significantly and positively correlated with metastasis.6,16 A meta-analysis of the prevalence of LN involvement for different sizes of enlarged LN in patients with NSCLC has been conducted.17 Nomori et al reported that the CT value and the MLE size predicted the LN metastasis with a precision of approximately 75%.17 Ballegeer et al also described the CT characteristic of lymph nodes metastasis.18 VanMeerbeeck et al suggested the larger positive mediastinum LN could cause worse prognosis in N2 patients, but few studies focused on the N0 patients.79 In the present study, the risk factor of LN enlargement requires further characterization. Because of the limitation of CT, we suggested NSCLC patients with LN enlargement receive positron emission tomography/CT or endobronchial ultrasound from identifying the nature of the enlarged LN.

A higher possibility of LN enlargement was only associated with aging and squamous cell cancer using multivariate analysis. Some studies have focused on the clinical characteristic related to the LN enlargement, but the correlation between pathology and LN enlargement has been controversial.1921 Tsutani et al suggested that the size of the solid tumor was an independent predictor of nodal enlargement.1922 Still, the T staging did not correlate with LN enlargement in our data. We inferred the discrepancy was due to those patients in our study who had no LN involvement. It has been reported by a few studies that smoking was a risk factor of LN enlargement, but this conclusion is still controversial. Wainer Z’s studies suggested that males with NSCLC had a higher possibility of metastasis than females with NSCLC.23 Heterogeneous tumor features between males and females with lung cancer also have been reported, which was opposite to our study.24 Some articles have reported the standard uptake value of primary tumors was associated with prognosis.25,26 Yusuke Takahashi’ research demonstrated that maximum standardized uptake value is a predictive factor for occult nodal metastasis with an accuracy of 55–77%.27 Masarykova et al found a correlation between the maximum standardized uptake value and the patient prognosis and lung cancer aggressiveness.28 Our previous study found the standard uptake value of primary tumor was associated with LN size, which may explain why the patients with LN enlargement in N0 staging had a worse CSS. We speculated the SUVmax value and LN size could synergistically predict the prognosis of NSCLC patients with negative LN, which need more PET/CT information to analyze.

Our results showed that patients with a larger LN size, including long diameter, short diameter, and volume, had a worse OS, which has also been reported in a few studies. Veronesi et al suggested that LN measuring ≥ 1 cm based on CT have an abnormal size, and thus, possibly indicates a poor prognosis.20 Some studies tried to use the size of LN measured in positron emission tomography/CT to predict the staging and prognoses of NSCLC patients.2931 Still, the relationship of LN size measured by CT and the resulting prognosis have focused on the LN positive patients. Our study has explored the relationship between LN size and prognosis in N0 staging patients, which was little mentioned. We also compared the predictive validity of long diameter, short diameter, and volume to obtain the most valuable prognoses. Still, we found that the predictive validity of these parameters was undifferentiated in integral survival analyses. In MVA Cox analysis, the larger volume and short diameter had a worse 5-year CSS and HR, while the different long diameters had no significant difference. Some studies have suggested that short diameter performed better in specificity than long diameter,32 and the volume had higher sensitivity and specificity due to combining the short diameter and long diameter.33 We also found that the volume of LN had a higher predictive value than a long diameter and short diameter.

Although the patients with LN enlargement in N0 staging had no LN metastasis, there was a significant cancer-specific survival difference, as well as overall survival. Analysis in the competing risk model suggested that tumor-associated death was associated with LN size. In previous studies, smoking, inflammation, and involvement were common risk factors of LN enlargement. We have analyzed the relation to smoking and LN enlargement and found no correlation. Besides, we could not totally define the infection or inflammation status of the patients during surgery, and we could not entirely exclude the relationship of inflammation status and LN enlargement. LN enlargement Patients with COPD or other inflammation diseases were account for a small proportion in our department. Koike et al suggested that the tumor size could be a valuable predictive factor for mediastinum LN metastasis in stage IA NSCLC patients.34 However, there was no apparent relationship between the tumor size to LN enlargement in our data after logistic analyses. Correlation analysis suggested the LN enlargement was related to tumor relapse. We have excluded the possibility of LN involvement as far as possible. Our pathology assessment was completed by two experienced pathologists at least, and the gap of the LN slice was tiny. They usually cut the LN every 2~3mm if the size of LN is more than 5mm. They just cut LN in half while the size of LN is less than 5mm. Our results suggested that we might need to detect more slices for the patients with LN enlargement to eliminate the possible micrometastasis.

Therefore, we propose that the worse CSS in NSCLC patients with enlarged negative LN could be partially explained by the phenomenon of LN micrometastasis or the potential basic disease.35,36 LN micrometastasis or the immune microenvironment of basic diseases such as granulomatous may induce the tumor cell invasion and migration and cause the relapse of cancer. Even so, the LN enlargement may be related to the slight missing tumor cell, but it is worthy of discussing further whether tiny tumor cells could cause LN enlargement. Verma et al suggested that LN mildly increased in size was more likely to harbor disease, but they did not have an adequate concentration of neoplastic cells.37 Some studies reported that LN granulomatous inflammation was associated with metastasis of breast cancer, renal cell cancer, and lymphomas.38 Additionally, historical studies have shown an increased risk of cancer in patients previously diagnosed with sarcoidosis, especially lung cancer and lymphoma.39 Besides, LN false-negatives had been reported in some studies, and the micropapillary component was one of the significant predictors of unexpected node-positive diseases.22,39

The major limitation of this study was that the sizes of LN were artificially measured using thinner CT, which could cause some systematic errors. These errors could influence the grouping of LN in subgroup analysis. We hoped the LN size measured by artificial intelligence could be fulfilled in the future. Second, our study was retrospective, and as a single-center study, our study failed to validate the model using a larger cohort, limiting the representation and generality of our results. We have included as many patients as possible (768 patients) in our study and we expect other studies could verify our findings. Thirdly, we are not sure whether the LN size could change as time goes by because most patients only received the chest CT scan once before surgery. Besides, the volume of LN was estimated using an equation, which could cause some bias. Finally, only 34.9% of NSCLC patients in our study had a PET/CT scan, which limited further exploration.

Conclusion

Nearly 20% of N0 patients had mediastinum LN enlargement, and the patients with a larger mediastinum LN had a worse 5-year CSS and had a higher risk of tumor relapse. The risk factors of mediastinum LN enlargement involved aging and squamous cell carcinoma. The volume of the LN measured in CT was a more valuable prognostic factor of NSCLC patients than long diameters or short diameters.

Abbreviations

LN, lymph nodes; LNE, lymph nodes enlargement; NSCLC, non-small cell lung cancer; OS, overall survival; CSS, cancer-specific survival.

Acknowledgments

We thank you for the statistical review by Dr. Runmei Li, Department of Biostatistics, Public Health, Fudan University, Shanghai, P. R. China. This work was supported by the Research and Development Fund of Zhongshan Hospital, Fudan University (Grant number 2018ZSLC28 and 2016ZSFZ56). We thank the International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

All authors have nothing to disclose with regard to commercial support. The authors report no conflicts of interest for this work.

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