ArticleBMC cancer2023
Occult lymph node metastasis is not a favorable factor for resected NSCLC patients.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Predictive value of primary tumorCancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Survival effect of PET/CT-defined occult lymph node metastasis in the newly proposed ninth edition N descriptors: a multicentre study.European journal of nuclear medicine and molecular imaging · 2026Article
- Long-term survival for preoperative versus postoperative treatment of N2 lung cancer: The importance of complete adjuvant therapy for occult N2 disease.JTCVS open · 2025Article
- Robotic versus video-assisted thoracoscopic surgery for pathological stage II-IIIB non-small cell lung cancer: evaluation of perioperative and survival outcomes.Journal of thoracic disease · 2025Article
- Validation for revision of the stage IIIA(T1N2) in the forthcoming ninth edition of the TNM classification for lung cancer.BMC cancer · 2025Article
- Case report: Occult lymph nodal metastasis in sub-centimeter lung cancer: a report of seven cases and review of literature.Frontiers in oncology · 2025Article
- Incidence rate of occult lymph node metastasis in clinical TRespiratory research · 2024Article
- Optimal Extent of Neck Dissection for a Head and Neck Lymph Node Metastasis from a Remote Primary Site.Journal of clinical medicine · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study was to compare the clinical presentations and survivals between the non-small cell lung cancer (NSCLC) patients with occult lymph node metastasis (OLNM) and those with evident lymph node metastasis (ELNM). We also intended to analyze the predictive factors for OLNM.
methodsKaplan-Meier method with log-rank test was used to compare survivals between groups. Propensity score matching (PSM) was used to reduce bias. The least absolute shrinkage and selection operator (LASSO)-penalized Cox multivariable analysis was used to identify the prognostic factors. Random forest was used to determine the predictive factors for OLNM.
resultsA total of 2,067 eligible cases (N0: 1,497 cases; occult N1: 165 cases; evident N1: 54 cases; occult N2: 243 cases; evident N2: 108 cases) were included. The rate of OLNM was 21.4%. Patients with OLNM were tend to be female, non-smoker, adenocarcinoma and had smaller-sized tumors when compared with the patients with ELNM. Survival curves showed that the survivals of the patients with OLNM were similar to those of the patients with ELNM both before and after PSM. Multivariable Cox analysis suggested that positive lymph nodes (PLN) was the only prognostic factor for the patients with OLNM. Random forest showed that clinical tumor size was an important predictive factor for OLNM.
conclusionsOLNM was not rare. OLNM was not a favorable sign for resected NSCLC patients with lymph node metastasis. PLN determined the survivals of the patients with OLNM. Clinical tumor size was a strong predictive factor for OLNM.
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