2013
DOI: 10.1093/annonc/mds274
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Risk factors for local and regional recurrence in patients with resected N0–N1 non-small-cell lung cancer, with implications for patient selection for adjuvant radiation therapy

Abstract: Patients with N0-N1 disease have low rates of locoregional recurrence after surgical resection. However, several prognostic factors can be identified that increase this risk and identify patients who may benefit from adjuvant treatment.

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Cited by 60 publications
(18 citation statements)
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“… 5 However, results of some studies have challenged the role of VPI as a prognostic parameter in NSCLCs. 6 8 Since the existence of VPI upgrades T stage of primary tumor from T1 to T2 in TNM staging system and may determine whether adjuvant chemotherapy is required, it is necessary to confirm the prognostic significance and identify the subset of patients with VPI who might benefit from adjuvant chemotherapy.…”
Section: Introductionmentioning
confidence: 99%
“… 5 However, results of some studies have challenged the role of VPI as a prognostic parameter in NSCLCs. 6 8 Since the existence of VPI upgrades T stage of primary tumor from T1 to T2 in TNM staging system and may determine whether adjuvant chemotherapy is required, it is necessary to confirm the prognostic significance and identify the subset of patients with VPI who might benefit from adjuvant chemotherapy.…”
Section: Introductionmentioning
confidence: 99%
“…Lung cancer is the firstcause of malignancy related mortality worldwide, with more than one million cases diagnosed yearly[ 22 ]. NSCLC, accounting for 80% of all lung cancers, includes squamous carcinoma, adenocarcinoma and large cell carcinoma.…”
Section: Discussionmentioning
confidence: 99%
“…Model A included five clinical variables—VPI, LVI, tumor size, tumor grade, and sub-lobar resection (segmentectomy or wedge resection)—and was fit by Cox proportional hazards regression. A comprehensive literature review revealed these five variables to be the most commonly associated with recurrence [5, 1018]. Model B consisted of all variables in model A with the intent of evaluating the addition of up to five biomarkers—vascular endothelial growth factor-C (VEGF-C) and microRNA (miRNA) precursors miR-1, miR-486, miR-499, and miR-30D.…”
Section: Methodsmentioning
confidence: 99%
“…We aimed to develop and validate a prediction model for recurrence as a first step toward designing a risk-stratified approach for the selective use of adjuvant therapy and surveillance imaging. We were unable to develop a model that reliably performed better than chance in predicting recurrence despite using five previously identified clinical risk factors for recurrence [5, 1018]. The addition of novel biomarkers associated with poor survival [23, 25] did not improve the model’s ability to predict recurrence.…”
Section: Commentmentioning
confidence: 99%