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Benej M, Klikovits T, Krajc T, Bohanes T, Schulte L, Hochmair MJ, Watzka S, Mosleh B, Hoetzenecker K, Aigner C, Hoda MA, Mueller MR. Lymph Node Log-Odds Ratio Accurately Defines Prognosis in Resectable Non-Small Cell Lung Cancer. Cancers (Basel) 2023; 15:cancers15072082. [PMID: 37046743 PMCID: PMC10093675 DOI: 10.3390/cancers15072082] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/08/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Objectives: The ratio of positive and resected lymph nodes (LN ratio) has been shown to be prognostic in non-small cell lung cancer (NSCLC). Contrary to the LN ratio, calculating the LN log-odds ratio (LN-LOR) additionally considers the total number of resected lymph nodes. We aim to evaluate LN-LOR between positive and resected lymph nodes as a prognostic factor in operable NSCLC. Methods: Patients with NSCLC who underwent curative intent lobectomy treated at two high-volume centers were retrospectively studied. LN-LOR was dichotomized according to impact on OS and further combined with N descriptors and correlated with clinical variables and survival. Results: 944 patients were included. Cut-off analysis revealed that an LN-LOR of −0.34 significantly discriminated patients according to OS (p < 0.001, chi-squared test 41.26). When combined with N1 and N2 descriptors, LN-LOR low risk (median OS not reached and 83 months) and LN-LOR high-risk patients (median OS 50 and 59 months) had similar survival irrespective of the anatomical location of the positive lymph nodes. Multivariable Cox regression analysis revealed that age (HR 1.02, 95% CI 1.001–1.032), sex (male, HR 1.65, 95% CI 1.25–2.19), histological subtype (HR 2.11, 95% CI 1.35–3.29), pathological stage (HR 1.23, 95% CI 1.01–1.45) and LN-LOR risk groups (low risk, HR 0.48, 95% CI 0.32–0.72) were independent prognostic factors for OS. Conclusions: This retrospective two-center analysis shows that LN-LOR is significantly associated with OS in resectable NSCLC and might better reflect the biological behavior of the disease, regardless of anatomical lymph node locations. This finding may additionally support the value of extensive LN dissection.
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Affiliation(s)
- Michal Benej
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Thomas Klikovits
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Tibor Krajc
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Tomas Bohanes
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Lisa Schulte
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Maximilian Johannes Hochmair
- Department of Respiratory and Critical Care Medicine, Karl-Landsteiner-Institute for Lung Research and Pulmonary Oncology, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Stefan Watzka
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Berta Mosleh
- Department of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria
| | - Konrad Hoetzenecker
- Department of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria
| | - Clemens Aigner
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
| | - Mir Alireza Hoda
- Department of Thoracic Surgery, Medical University of Vienna, 1090 Vienna, Austria
| | - Michael Rolf Mueller
- Department of Thoracic Surgery and Karl-Landsteiner-Institute, Clinic Floridsdorf, 1210 Vienna, Austria
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Wang S, Wei J, Guo Y, Xu Q, Lv X, Yu Y, Liu M. Construction and validation of nomograms based on the log odds of positive lymph nodes to predict the prognosis of lung neuroendocrine tumors. Front Immunol 2022; 13:987881. [PMID: 36211370 PMCID: PMC9539638 DOI: 10.3389/fimmu.2022.987881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/11/2022] [Indexed: 11/18/2022] Open
Abstract
Background This research aimed to investigate the predictive performance of log odds of positive lymph nodes (LODDS) for the long-term prognosis of patients with node-positive lung neuroendocrine tumors (LNETs). Methods We collected 506 eligible patients with resected N1/N2 classification LNETs from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. The study cohort was split into derivation cohort (n=300) and external validation cohort (n=206) based on different geographic regions. Nomograms were constructed based on the derivation cohort and validated using the external validation cohort to predict the 1-, 3-, and 5-year cancer-specific survival (CSS) and overall survival (OS) of patients with LNETs. The accuracy and clinical practicability of nomograms were tested by Harrell’s concordance index (C-index), integrated discrimination improvement (IDI), net reclassification improvement (NRI), calibration plots, and decision curve analyses. Results The Cox proportional-hazards model showed the high LODDS group (-0.79≤LODDS) had significantly higher mortality compared to those in the low LODDS group (LODDS<-0.79) for both CSS and OS. In addition, age at diagnosis, sex, histotype, type of surgery, radiotherapy, and chemotherapy were also chosen as predictors in Cox regression analyses using stepwise Akaike information criterion method and included in the nomograms. The values of C-index, NRI, and IDI proved that the established nomograms were better than the conventional eighth edition of the TNM staging system. The calibration plots for predictions of the 1-, 3-, and 5-year CSS/OS were in excellent agreement. Decision curve analyses showed that the nomograms had value in terms of clinical application. Conclusions We created visualized nomograms for CSS and OS of LNET patients, facilitating clinicians to bring individually tailored risk assessment and therapy.
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Affiliation(s)
- Suyu Wang
- Department of Anesthesiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Juan Wei
- Department of Anesthesiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yibin Guo
- Department of Health Statistics, Naval Medical University, Shanghai, China
| | - Qiumeng Xu
- Department of Orthopaedics, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Xin Lv
- Department of Anesthesiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yue Yu
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
- *Correspondence: Meiyun Liu, ; Yue Yu,
| | - Meiyun Liu
- Department of Anesthesiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Meiyun Liu, ; Yue Yu,
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Cackowski MM, Gryszko GM, Zbytniewski M, Dziedzic DA, Orłowski TM. Alternative methods of lymph node staging in lung cancer: a narrative review. J Thorac Dis 2020; 12:6042-6053. [PMID: 33209438 PMCID: PMC7656442 DOI: 10.21037/jtd-20-1997] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The nodal status indicator in non-small cell lung cancer is one of the most crucial prognostic factors available. However, there are still many arguments among scientists regarding whether the currently used nodal status descriptor should be changed in the forthcoming editions of the Tumor Node Metastasis classification or whether it is precise enough and should be maintained as is. We reviewed studies concerning nodal factor classifications to evaluate their accuracy in non-small cell lung cancer patients and to address the previously mentioned challenge. We reviewed the PubMed database regarding the following classifications: ongoing 8th edition of the Tumor Node Metastasis classification, number of positive lymph nodes, number of negative lymph nodes, number of dissected lymph nodes, lymph node ratio, nodal chains, log odds of positive lymph nodes, zone-based classification and one that is based on the number of lymph node stations involved. Moreover, we analysed data regarding various combinations of these classifications. Our analysis showed that the present nodal staging may not accurately categorize every lung cancer patient. The number of positive lymph nodes and lymph node ratio or the log odds of positive lymph nodes (as the mathematical modification of lymph node ratio) are more legitimate, as they possess very robust data and should be considered initially as additional factors that can be incorporated in ongoing nodal staging systems. Forthcoming non-small cell lung cancer staging systems could benefit from the addition of quantitative-based parameters. Additionally, the minimal extent of lymphadenectomy should be established as staging benefits from it. International, prospective validation studies need to be performed to optimize the cut-off values and prognostic groups and to confirm the superiority of the newly suggested descriptors in non-small cell lung cancer nodal staging.
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Affiliation(s)
- Marcin M Cackowski
- Department of Thoracic Surgery, National Research Institute of Chest Diseases, Warsaw, Poland
| | - Grzegorz M Gryszko
- Department of Thoracic Surgery, National Research Institute of Chest Diseases, Warsaw, Poland
| | - Marcin Zbytniewski
- Department of Thoracic Surgery, National Research Institute of Chest Diseases, Warsaw, Poland
| | - Dariusz A Dziedzic
- Department of Thoracic Surgery, National Research Institute of Chest Diseases, Warsaw, Poland
| | - Tadeusz M Orłowski
- Department of Thoracic Surgery, National Research Institute of Chest Diseases, Warsaw, Poland
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Yu Y, Zhang P, Yao R, Wang J, Wang P, Xue X, Xiao J, Wang Z. Prognostic value of log odds of positive lymph nodes in node-positive lung squamous cell carcinoma patients after surgery: a SEER population-based study. Transl Lung Cancer Res 2020; 9:1285-1301. [PMID: 32953505 PMCID: PMC7481584 DOI: 10.21037/tlcr-20-193] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Log odds of positive lymph nodes (LODDS) is a novel and promising ratio-based lymph node (LN) staging system in many malignancies. This study aimed to evaluate the prognostic value of LODDS, and comprehensively compare the prognostic predictive performance of LODDS with the American Joint Committee on Cancer (AJCC) N classification, number of positive lymph node (NPLN), and lymph node ratio (LNR) among node-positive lung squamous cell carcinoma (SCC) patients after surgery. Methods We identified 2,561 patients with N1/N2 stage SCC diagnosed between 2004 and 2014 from the Surveillance, Epidemiology, and End Results (SEER) database. X-tile analysis was used to calculate the optimal cut-off value for each staging system. Univariable and Multivariable Cox regression analyses were used to assess the association of cancer-specific survival (CSS), and overall survival (OS) with N, NPLN, LNR, and LODDS, separately, and integrally. Moreover, linear trend χ2 score, likelihood ratio (LR) test, Akaike information criterion (AIC), and Harrell concordance index (C-index) were adopted as criteria for assessing the predictive ability of each model. Results The optimal cut-off values for NPLN, LNR, and LODDS were 3, 0.28, and −0.37, respectively. N, NPLN, LNR, and LODDS were identified as independent prognostic predictors for CSS and OS in patients with SCC when each of them was incorporated into multivariable Cox model separately. Additionally, LODDS had the higher linear trend χ2 score, higher LR χ2 test score, lower AIC, and higher C-index compared to the other three systems. Moreover, a combination of N, NPLN, and LODDS was superior to any staging system alone for predicting prognosis. Conclusions LODDS showed better predictive performance than N, NPLN, and LNR among patients with node-positive SCC after surgery. A combination of LODDS and the current AJCC TNM classification has the potential for becoming a better staging method to more precisely predicting prognosis.
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Affiliation(s)
- Yue Yu
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Peng Zhang
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Renqi Yao
- Trauma Research Center, Fourth Medical Center of the Chinese PLA General Hospital, Beijing, China.,Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Junnan Wang
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China.,Medical Research Center of War Injuries and Trauma, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Pei Wang
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Xiaofei Xue
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Jian Xiao
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Zhinong Wang
- Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China
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Zhou X, Wu C, Cheng Q. Negative Lymph Node Count Predicts Survival of Resected Non-small Cell Lung Cancer. Lung 2020; 198:839-846. [PMID: 32683563 DOI: 10.1007/s00408-020-00378-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 07/03/2020] [Indexed: 12/11/2022]
Abstract
PURPOSE The purpose of this study was to explore the association between the negative lymph node (NLN) count and survival, as well as compare the prognostic value of the positive lymph node (PLN) count, lymph node ratio (the PLN count/total lymph nodes examined, LNR), and NLN count in patients with non-small cell lung cancer (NSCLC). METHODS We identified patients diagnosed with NSCLC between 2005 and 2011 from the Surveillance, Epidemiology, and End Results database. Outcomes of interest were lung cancer-specific survival (LCSS) and overall survival (OS). Cases were divided into several groups based on the PLN count, NLN count, and LNR. The prognostic significance of the PLN count, NLN count, and LNR models was analyzed with the Kaplan-Meier method and the Cox regression model. RESULTS 39,959 patients with surgical resection for NSCLC were identified. Univariate analysis demonstrated that a greater count of NLNs was associated with better LCSS (P < 0.001) and OS (P < 0.001). Subgroup analysis showed that the NLN count could predict survival in both node-negative and node-positive patients. Multivariable analysis revealed that the NLN count was an independent prognostic factor for LCSS and OS. CONCLUSION The NLN count is an independent prognostic factor of OS and LCSS in patients with NSCLC, as well as the PLN count and LNR. The prognostic value of the PLN count, NLN count, and LNR shows no difference.
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Affiliation(s)
- Xinyan Zhou
- School of Public Health, Shanghai Jiao Tong University, 227 South Chongqing Road, Shanghai, 200025, China
| | - Chunxiao Wu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai Institutes of Preventive Medicine, 1380 Zhongshan West Road, Shanghai, 200336, China
| | - Qi Cheng
- School of Public Health, Shanghai Jiao Tong University, 227 South Chongqing Road, Shanghai, 200025, China.
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Deng W, Xu T, Wang Y, Xu Y, Yang P, Gomez D, Liao Z. Log odds of positive lymph nodes may predict survival benefit in patients with node-positive non-small cell lung cancer. Lung Cancer 2018; 122:60-66. [DOI: 10.1016/j.lungcan.2018.05.016] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 05/02/2018] [Accepted: 05/19/2018] [Indexed: 01/10/2023]
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Log odds of positive lymph nodes as a novel prognostic indicator in NSCLC staging. Surg Oncol 2017; 26:80-85. [DOI: 10.1016/j.suronc.2017.01.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 01/31/2017] [Indexed: 12/25/2022]
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