ArticleTranslational lung cancer research2022
Re-evaluating the need for mediastinal lymph node dissection and exploring lncRNAs as biomarkers of N2 metastasis in T1 lung adenocarcinoma.
Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 13 citations in OpenAlex.
- Exosomal LncRNA SCAMP1-AS1 enhances osteosarcoma malignancy by regulating the LKB1-AMPK signaling pathway.Scientific reports · 2025Article
- Radiotherapy-immunity lncRNA model predicts lung adenocarcinoma prognosis and treatment outcome and distinguishes between hot and cold tumors.Discover oncology · 2025Article
- LINC00892 as a Prognostic Biomarker in Lung Adenocarcinoma: Role in Immune Infiltration and EMT Suppression.Journal of immunology research · 2025Article
- A liquid biopsy assay for the noninvasive detection of lymph node metastases in T1 lung adenocarcinoma.Thoracic cancer · 2024Article
- Machine learning-based integration develops an immunogenic cell death-derived lncRNA signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.Scientific reports · 2024Article
- Development and validation of a nomogram for predicting overall survival in patients with stage III-N2 lung adenocarcinoma based on the SEER database.Translational cancer research · 2023Article
- True Prevalence of Unforeseen N2 Disease in NSCLC: A Systematic Review + Meta-Analysis.Cancers · 2023Review
- Construction of prognostic risk model of bladder cancer based on cuproptosis-related long non-coding RNAs.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023Article
- LINC00669 promotes lung adenocarcinoma growth by stimulating the Wnt/β-catenin signaling pathway.Cancer medicine · 2023Article
- Development and validation of a gene-based classification model for pN2 lung adenocarcinoma.Translational lung cancer research · 2023Article
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10 authors at 5 institutions in 3 countries.
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Abstract
Background: Although a well-acknowledged component of curative surgery for lung cancer, investigators have recently questioned the need for mediastinal lymph node dissection (MLND) in early-stage lung cancer cases. As such, the accurate prediction of N2 stage prior to surgery has become increasingly critical. But diagnostic biomarkers predicting N2 metastases are deficient, which are urgently needed. Methods: We extracted the data of non-small cell lung cancer (NSCLC) patients whose clinical information and follow-up data are complete and without preoperative induction therapy from the Surveillance, Epidemiology, and End Results (SEER) database. The SEER program registries routinely collect demographic and clinic data on patients. And the prognostic differences were analyzed according to the presence or absence of MLND in their lung resection using the R package. Subsequently, the correlations between pN2 metastasis and clinical characteristics were analyzed. In parallel, the long non-coding RNAs (lncRNAs) associated with pN2 status were screened in The Cancer Genome Atlas (TCGA) database by expression difference analysis between pN0-N1 and pN2 patients using limma. Their diagnostic efficiency for detecting N2 metastases was evaluated using receiver operating characteristic (ROC) curves, and a combined diagnostic model was constructed using logistic regression and ROC curve analyses in lung adenocarcinoma (LUAD). Results: There were 16,772 patients in MLND group, and 2,699 cases in no-MLND group. The clinical data from SEER showed that the incidence of N2 metastasis was low in pT1 NSCLC (1,023/16,772, 6.10%), but the prognosis of no-MLND patients was poorer than those who underwent MLND (P<0.001, HR =1.605). Pathological N2 metastasis was correlated with age, histologic type, and tumor size. On the other hand, five lncRNAs (LINC00892, AC099522.2, LINC01481, SCAMP1-AS1, and AC004812.2) were screened and confirmed as potential diagnostic biomarkers for detecting N2 metastasis in pT1 LUAD. The AUC of the combined indicators was 0.857. Conclusions: MLND may be oncologically necessary for selected T1 NSCLC patients based on the metastasis incidence and prognosis. A diagnostic model combining LINC00892, AC099522.2, LINC01481, SCAMP1-AS1, and AC004812.2 expression levels may have the potential to be a diagnostic biomarker for detecting N2 metastasis in pT1 LUAD. This study suggests that MLND might be omitted in patients with lower expression level of this diagnostic model.
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