Evidence map›Paper›PMID 41114760›Full record

ArticleDiscover oncology2025

Log odds of negative lymph nodes/T stage as a novel predictor of post-resection outcome in non-small cell lung cancer patients.

Liu Shao, Haoyang Cao, Hao Yang, Dongmei Li

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Liu Shao *Department of Internal Medicine, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Haoyang Cao *Department of Clinical Nutrition, Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, No.9 Shuangxing Road, Bishan District, Chongqing, 402760, China.
Hao YangDepartment of Internal Medicine, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Dongmei LiDepartment of Gynecologic Oncology, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, China. LiDongmei12181@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgery with systematic lymph node (LN) dissection remains the primary treatment for early-stage and locally advanced operable non-small-cell lung cancer (NSCLC). However, the effect of the log odds of negative lymph nodes/T stage (LONT) in NSCLC remains unclear. This study aims to evaluate the correlation between LONT and prognosis of stage I-III NSCLC patients who underwent resection.

methodsClinical data from patients who underwent NSCLC resection were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The log odds of negative LONT, defined as log(NLNs + 1)/T stage, was calculated for each patient. The nonlinear relationship between LONT and overall survival (OS) and lung cancer-specific survival (LCSS) was evaluated using the cubic spline smoothing technique and Cox regression. The optimal LONT cut-off point was determined using X-tile plots, and propensity score matching (PSM) was performed to minimize inter-group differences.

resultsLONT demonstrated a nonlinear positive relationship with both OS and LCSS. Based on X-tile plot-determined cut-off point of 0.60, participants were categorized into low (< 0.60) and high (≥ 0.60) LONT subgroups. Both before and after PSM, the high LONT group exhibited significantly better OS and LCSS compared to the low LONT group (both P < 0.001). Similar survival differences were observed in subgroup analyses based on lymph node status and TNM stage. LONT was an independent predictor of OS (HR: 0.78, 95% CI: 0.74-0.81, P < 0.001) and LCSS (HR: 0.75, 95% CI: 0.71-0.78, P < 0.001).

conclusionsLONT is a novel robust prognostic factor that could complement TNM staging system. A higher LONT is associated with better survival in stage I-III NSCLC patients who received resection.

Indexed as

Negative lymph nodesNegative lymph nodes/T stageNon-small-cell lung cancerPrognosisSEER

Identifiers

PMID41114760
PMCPMC12537637

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