2018
DOI: 10.1016/j.athoracsur.2018.06.022
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Challenges in Predicting Recurrence After Resection of Node-Negative Non-Small Cell Lung Cancer

Abstract: We were unable to predict lung cancer recurrence using a risk-prediction model based on five well-known clinical risk factors and several biomarkers. Further research should consider novel predictors of recurrence to stratify patients with completely resected early-stage non-small cell lung cancer according to their risk of recurrence.

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Cited by 15 publications
(19 citation statements)
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“…Among these clinical scenarios, primary pulmonary malignancy is a major concern, and tissue proof or resection is recommended if images change in the serial follow-up. In patients who underwent tumor resection and were confirmed with primary pulmonary malignancy, the risk of disease relapse was the major concern whereby the reported early relapse in patients with resectable non-small cell lung cancer is 10-19% [5,29]. Many prognostic factors have been identified but can only be used for surveillance planning [3][4][5], instead of relapse prediction [30].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Among these clinical scenarios, primary pulmonary malignancy is a major concern, and tissue proof or resection is recommended if images change in the serial follow-up. In patients who underwent tumor resection and were confirmed with primary pulmonary malignancy, the risk of disease relapse was the major concern whereby the reported early relapse in patients with resectable non-small cell lung cancer is 10-19% [5,29]. Many prognostic factors have been identified but can only be used for surveillance planning [3][4][5], instead of relapse prediction [30].…”
Section: Discussionmentioning
confidence: 99%
“…CTCs were defined as cells that were negative for CD45 and positive for both EpCAM and Hoechst. We set the cutoff at 3.0 cells/mL as used in the literature to avoid false positives [29,30].…”
Section: Circulating Tumor Cell Sampling Identification and Qualitymentioning
confidence: 99%
“…Sandoval et al discovered a methylation signature based on 10 sites ( HOXA9, C1orf114, TRH, HIST1H4F, SP9, PCDHGB6, OTX2, NPBWR1, TRIM58 , and ALX1) that effectively distinguished stage I NSCLC patients with high recurrence risk and low risk 57 .Conventionally, molecular or epigenetic biomarkers are often identified by comparing the genomic or epigenomic landscapes of two groups with diverse outcomes. This identification method might be influenced by selection bias present in the groups due to the widespread interpatient and intra-patient heterogeneity 6 . Notably, our panel covers 7 of the 10 sites identified in Sandoval et al 2013 57 ( Table S3 ).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, although surveillance imaging is also recommended for all resected patients, the level of supportive evidences is low and adherence rates are limited 4 , 5 . Hence, stratifying patients according to the predicted recurrence risk may tailor adjuvant therapy and surveillance imaging to patients with a higher risk 6 . Tremendous efforts have been invested to identify clinical and molecular characteristics that might help predict recurrence risk in addition to TNM stage in resected lung cancers 7 - 11 .…”
Section: Introductionmentioning
confidence: 99%
“…Risk stratification may facilitate a personalized approach to the use of adjuvant therapy [9]. Current evidence suggests that ACT can be considered as a treatment for those with high-risk stage IB disease [10,11].…”
mentioning
confidence: 99%