A nomogram to predict brain metastasis as the first relapse in curatively resected non-small cell lung cancer patients

Won, Young‐Woong; Joo, Jungnam; Yun, Tak; Lee, Geon-Kook; Han, Ji‐Youn; Kim, Heung Tae; Lee, Jin Soo; Kim, Moon Soo; Lee, Jong Mog; Lee, Hyun-Sung; Zo, Jae Ill; Kim, Sohee

doi:10.1016/j.lungcan.2015.02.006

Cited by 61 publications

(59 citation statements)

References 35 publications

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“…Another study did not find this relationship either . Most of the articles that we found showed that tumor stage has not previously been regarded as a predictive factor for brain metastases in resected NSCLC patients . Therefore, we concluded that lymph node metastases are an independent risk factor, especially when the mediastinal lymph nodes were multiple metastatic.…”

Section: T and N Statuses And Tumor Stagescontrasting

confidence: 53%

Risk factors for brain metastases in patients with non–small‐cell lung cancer

Wang

et al. 2018

Cancer Medicine

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Brain metastases (BM) are severe incidents in patients with non–small‐cell lung cancer (NSCLC). The controversial value of prophylactic cranial irradiation (PCI) in NSCLC in terms of survival benefit prompted us to explore the possible risk factors for BM in NSCLC and identify the potential population most likely to benefit from PCI. Risk factors for brain metastases in NSCLC are reviewed in this article. Identifying patients with a higher risk of BM could possibly increase the benefit of PCI while reducing the discomfort and risks caused by unnecessary invasive procedures in the NSCLC patient population. Future studies might focus on finding a solid basis for the prediction of the occurrence of brain metastases and for the therapeutic decision on the use of PCI.

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Section: T and N Statuses And Tumor Stagescontrasting

confidence: 53%

Risk factors for brain metastases in patients with non–small‐cell lung cancer

Wang

et al. 2018

Cancer Medicine

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“…Moreover it has been validated to compare favorably to the traditional TNM staging systems in many cancers, and thus have been identified as an alternative or even a new standard 22, 35, 36. A number of studies also found that in patients with NSCLC, nomograms were accurate to predict the risk of a node's involvement 37, 38, the individual risk of developing metastasis to the brain and had strong performance in individualize patient decision making 39.…”

Section: Discussionmentioning

confidence: 99%

A Nomogram based on Inflammatory Factors C-Reactive Protein and Fibrinogen to Predict the Prognostic Value in Patients with Resected Non-Small Cell Lung Cancer

et al. 2017

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Purpose: This study aimed to develop an effective nomogram for predicting survival in surgically treated non-small cell lung cancer patients.Methods: We retrospectively evaluated 856 NSCLC in this study. Cox regression analyses were performed to identify significant prognostic factors for developing a nomogram to predict overall survival (OS). The discriminative ability was assessed with the concordance index (C-index).Results: On multivariate analysis of the 856 cohort, independent factors for survival were CRP, fibrinogen, tumor status, nodal status, distant metastasis and clinical stage, which were entered into the nomogram. The C-index of the established nomogram 0.720 (95% CI: 0.671-0.769) was higher than that of the seventh edition TNM staging system 0.689 (95% CI: 0.668-0.709) for predicting OS (P < 0.05). Compared with patients with low CRP levels (< 8.6 g/L) and low fibrinogen levels (< 3.7 g/L), patients with high CRP and fibrinogen levels had shorter OS. Subgroup analyses revealed that the nomogram was a favorable prognostic parameter in stage I-IV NSCLC (P < 0.05).Conclusion: A nomogram integrating CRP and fibrinogen, which could be convenient and feasible to obtain from the serum preoperatively, may assist in risk stratification for individual patient with resected NSCLC.

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“…Furthermore, the ability to incorporate multiple variables in a single model may allow nomograms to predict survival more accurately than standard TNM staging systems 16,17 . For lung cancer specifically, nomograms have been used to predict the response to tyrosine kinase inhibitors and the development of brain metastases following curative surgery 18,19 .…”

Section: Commentmentioning

confidence: 99%

A Nomogram to Predict Recurrence and Survival of High-Risk Patients Undergoing Sublobar Resection for Lung Cancer: An Analysis of a Multicenter Prospective Study (ACOSOG Z4032)

Kent

Mandrekar

Landreneau

et al. 2016

The Annals of Thoracic Surgery

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Background Individualized prediction of outcomes may help with therapy decisions for patients with non-small cell lung cancer (NSCLC). We developed a nomogram by analyzing 17 clinical factors and outcomes from a randomized study of sublobar resection for NSCLC in high-risk operable patients. The study compared sublobar resection alone, to sublobar resection with brachytherapy. There were no differences in primary and secondary outcomes between the study arms, and were thus combined for this analysis. Methods The clinical factors of interest (considered as continuous variables) were assessed in a univariate Cox Proportional Hazards model for significance at the 0.10 level for their impact on overall survival (OS), local recurrence free survival (LRFS) and any recurrence free survival (RFS). The final multivariable model was developed using a stepwise model selection. Results 173 of 212 patients had complete data on all 17 risk factors. Median (range) follow-up was 4.94 (0.04–6.22) years. The 5-year OS, LRFS and RFS were 58.4%, 53.2% and 47.4% respectively. Age, baseline DLCO % and maximum tumor diameter were significant predictors for OS, LRFS and RFS in the multivariable model. Nomograms were subsequently developed for predicting 5-year OS, LFRS and RFS. Conclusions Age, baseline DLCO% and maximum tumor diameter significantly predicted outcomes after sublobar resection. Such nomograms may be helpful for treatment planning in early stage NSCLC and to guide future studies.

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A nomogram to predict brain metastasis as the first relapse in curatively resected non-small cell lung cancer patients

Cited by 61 publications

References 35 publications

Risk factors for brain metastases in patients with non–small‐cell lung cancer

Risk factors for brain metastases in patients with non–small‐cell lung cancer

A Nomogram based on Inflammatory Factors C-Reactive Protein and Fibrinogen to Predict the Prognostic Value in Patients with Resected Non-Small Cell Lung Cancer

A Nomogram to Predict Recurrence and Survival of High-Risk Patients Undergoing Sublobar Resection for Lung Cancer: An Analysis of a Multicenter Prospective Study (ACOSOG Z4032)

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