The IASLC Lung Cancer Staging Project: A Renewed Call to Participation

Billè, Andrea; Darling, Gail; D’Journo, Xavier Benoît; Galateau-Salle, Françoise; Hasegawa, Seiki; Hofstetter, Wayne L.; Kindler, Hedy L.; Low, Donald E.; Nowak, Anna K.; Opitz, Isabelle; Okumura, Meinoshin; Perrot, Marc de; Rimner, Andreas; Ruffini, Enrico; Jiang, Liyan; Kubota, Keiichi; Turna, Akif; Filosso, Pier Luigi; Kondo, Kazuya; Kim, Dong Kwan; Giaccone, G.; Lucchi, Marco; Blackwell, Eugene; Rice, Thomas W.; Cangır, Ayten; Liu, Hui; Fang, Wentao; Lyons, Gustavo; Bertoglio, Pietro; Rice, David C.; Kim, Hong Kwan; Singh, Navneet; Erasmus, Jeremy J.; Putora, Paul Martin; Suarez, F Gonzalez; Sakai, Shuji; Prosch, Helmut; Eberhardt, Wilfried; Beyruti, Ricardo; Lievens, Yolande; Watanabe, Shun‐ichi; Kernstine, Kemp H.; Goo, Jin Mo; Brierley, James D.; Beckett, Paul; Rusch, Valerie W.; Fong, Kwun M.; Kim, Young Tae; Huang, James; Meerbeeck, Jan P. van; Edwards, John; Hoffman, Hans; Boubia, Souheil; Nakajima, Jun; Schil, Paul Van; Donnington, Jessica; Marino, Mirella; Galateau, F; Travis, Bill; MacMahon, Heber; Goo, Jim Mo; Gill, Ritu R.; Marom, Edith M.; Ugalde, Paula A.; Carbone, David P.; Hirsch, Fred R.; Wistuba, Ignacio I.; Kerr, Keith M.; Brambilla, Élisabeth; Gautschi, Oliver; Yatabe, Yasushi; Araujo, Luiz H.; Pass, Harvey I.; Tsao, Ming Sound; Rami‐Porta, Ramón; Travis, William D.; Detterbeck, Frank C.; Nicholson, Andrew G.; Asamura, Hisao; Joubert, Philippe; Montuenga, Luis M.; Terra, Ricardo Mingarini; Osarogiagbon, Raymond U.; Matilla, José-María; Fennell, Dean A.; Beer, David G.; Wiens, Jacinta; Lim, Eric; Crowley, John; Chansky, Kari; Giroux, Dorothy J.; Bolejack, Vanessa; Stoll-D’Astice, Amy; Wang, Hong Wei; Nishimura, K.

doi:10.1016/j.jtho.2018.02.012

Cited by 49 publications

(24 citation statements)

References 34 publications

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“…The aim of the study was to better understand the impact of different clinically relevant factors on distant metastasis, particularly the association between tumor size and the exact pattern of distant metastasis. Tumor size is one of the major prognostic factors in the staging system for non-small cell lung cancer (NSCLC) (Giroux et al, 2018). The prognostic value of the tumor size has been demonstrated in pathological NSCLC and SCLC (Cai et al, 2018; Tas et al, 1999; Riihimaki et al, 2014; Zhang et al, 2015; Zhang, Sun & Chen, 2016).…”

Section: Discussionmentioning

confidence: 99%

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

Liu

et al. 2019

PeerJ

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Background Small-cell lung cancer (SCLC) is a malignant cancer with the ability to metastasize quickly. The relationship between tumor size and the distant metastasis patterns of Extensive-Stage Small Cell Lung Cancer (ES-SCLC) has not been reported.ObjectivesThe aim of this study was to determine the different distant metastasis patterns as they related to tumor size in ES-SCLC.Patients and MethodsWe used Surveillance, Epidemiology, and End Results (SEER) population-based data collected from 2010 through 2013 to identify 11058 ES-SCLC patients with definite evidence of distant metastases. Multivariate logistic regression analysis was used to demonstrate the association between tumor size and distant metastasis patterns including bone, liver, brain, and lung metastases. Age, race, sex, and N stage were also selected in the logistic regression model.ResultsSubtle differences in metastasis patterns were found among patients based on different tumor sizes. Patients with tumors 3–7 cm have a higher risk of bone metastasis compared with those that have tumors ≤3 cm (OR 1.165, 95% CI [1.055–1.287], P = 0.003) and patients with tumors ≥7 cm have a higher risk of lung metastasis (OR 1.183, 95% CI [1.039–1.347], P = 0.011). In addition, patients with tumors ≥7 cm had a lower risk of brain metastasis and liver metastasis than patients with tumors ≤3 cm (OR 0.799, 95% CI [0.709–0.901], P < 0.001; OR 0.747, 95% CI [0.672–0.830], P < 0.001). Interestingly, there was no correlation between a larger tumor and a higher risk of metastasis. However, the tumor metastasis pattern did have some correlation with age, gender, race and N-status.ConclusionThe pattern of distant metastasis of ES-SCLC is related to the tumor size and the tumor size is indicative of the metastatic site. Larger tumor sizes did not correlate with a higher risk of distant metastasis, but the size is related to the pattern of distant metastasis. The study of different distant metastasis patterns based on tumor size and other clinical features (e.g., age, race, sex, and N stage) in ES-SCLC is clinically valuable.

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Section: Discussionmentioning

confidence: 99%

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

Liu

et al. 2019

PeerJ

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“…3 And the IASLC lung cancer staging project listed that the further assessment of the prognostic impact of the number of metastatic LNs as a one of the research goals in N descriptor. 7 Current nodal staging of solid tumors in other fields, such as gastric, colorectal, breast, or kidney, is determined by the number of metastatic LNs. 8 The possibility of using the number of metastatic LNs for nodal classification in NSCLC has been reported recently.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Impact of the Number of Metastatic Lymph Nodes on the Eighth Edition of the TNM Classification of NSCLC

Katsumata

Aokage

Ishii

et al. 2019

Journal of Thoracic Oncology

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Introduction: Current nodal staging of NSCLC is defined only by anatomical location of lymph nodes (LNs). The aim of this study is to investigate prognostic impacts of the number of metastatic LNs by stratifying the present N classification. Methods: We analyzed 1989 patients with NSCLC who underwent complete resection by lobectomy or pneumonectomy involving dissection of the hilar and mediastinal LNs from 2003 to 2012. We classified patients according to the number of metastatic nodes and stations and their current category of metastatic LNs. We analyzed the overall survival in each group and assessed the survival impact of the combination of them. Results: In the multivariate analyses of all patients, pathological N1 (pN1) (reference [ref.] pN2) and single-node metastasis (ref. multiple-node) were independent prognostic factors whereas single-station metastasis (ref. multiple-station) was not. In the respective multivariate analyses of pN1 and pN2 disease, multiple-node metastasis (ref. single-node) was an independent prognostic factor in pN1 disease (hazard ratio: 1.41, p ¼ 0.04), but not in pN2 disease. Investigation for other boundaries of a number of metastatic LNs of three or more (ref. one to two), four or more (ref. one to three), and five or more (ref. one to four) found that all of them were independent prognostic factors in both pN1 and pN2 diseases. Conclusions: The number of metastatic LNs had a strong impact on survival in addition to the current pN classification. To clarify its prognostic impact, further study is needed in other datasets including patients treated by nonsurgical modalities.

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Section: Discussionmentioning

confidence: 99%

Peer Review #2 of "Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study (v0.1)"

2019

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Small-cell lung cancer (SCLC) is a malignant cancer with the ability to metastasize quickly. The relationship between tumor size and the distant metastasis patterns of Extensive-Stage Small Cell Lung Cancer (ES-SCLC) has not been reported. OBJECTIVES: The aim of this study was to determine the different distant metastasis patterns as they related to tumor size in ES-SCLC. PATIENTS AND METHODS: We used Surveillance, Epidemiology, and End Results (SEER) population-based data collected from 2010 through 2013 to identify 11058 ES-SCLC patients with definite evidence of distant metastases. Multivariate logistic regression analysis was used to demonstrate the association between tumor size and distant metastasis patterns including bone, liver, brain, and lung metastases. Age, race, sex, and N stage were also selected in the logistic regression model. RESULTS: Subtle differences in metastasis patterns were found among patients based on different tumor sizes. Patients with tumors 3-7 cm have a higher risk of bone metastasis compared with those that have tumors ≤ 3 cm (OR 1.165, 95% CI 1.055-1.287，P=0.003) and patients with tumors ≥7 cm have a higher risk of lung metastasis (OR 1.183, 95% CI 1.039-1.347，P=0.011). In addition, patients with tumors ≥7 cm had a lower risk of brain metastasis and liver metastasis than patients with tumors ≤ 3 cm(OR 0.799, 95% CI 0.709-0.901，P＜0.001;OR 0.747, 95% CI 0.672-0.830，P＜0.001). Interestingly, there was no correlation between a larger tumor and a higher risk of metastasis. However, the tumor metastasis pattern did have some correlation with age, gender, race and N-status. CONCLUSION: The pattern of distant metastasis of ES-SCLC is related to the tumor size and the tumor size is indicative of the metastatic site. Larger tumor sizes did not correlate with a higher risk of distant metastasis but the size is related

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The IASLC Lung Cancer Staging Project: A Renewed Call to Participation

Cited by 49 publications

References 34 publications

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

Prognostic Impact of the Number of Metastatic Lymph Nodes on the Eighth Edition of the TNM Classification of NSCLC

Peer Review #2 of "Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study (v0.1)"

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