Impact of a Lymph Node Specimen Collection Kit on the Distribution and Survival Implications of the Proposed Revised Lung Cancer Residual Disease Classification: A Propensity-Matched Analysis

淋巴结标本采集试剂盒对拟议修订版肺癌残留病灶分类的分布和生存意义的影响:倾向性匹配分析

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Abstract

IMPORTANCE: The International Association for the Study of Lung Cancer (IASLC) has proposed a revision of the residual disease (R-factor) classification, to R0, 'R-uncertain', R1 and R2. We previously demonstrated longer survival after surgical resection with a lymph node specimen collection kit, and now evaluate R-factor redistribution as the mechanism of its survival benefit. OBJECTIVE: We retrospectively evaluated surgical resections for lung cancer in the population-based observational 'Mid-South Quality of Surgical Resection' cohort from 2009-2019, including a full-cohort and propensity-score matched analysis. RESULTS: Of 3,505 resections, 34% were R0, 60% R-uncertain, and 6% R1 or R2. The R0 percentage increased from 9% in 2009 to 56% in 2019 (p < 0.0001). Kit cases were 66% R0 and 29% R-uncertain, compared to 14% R0 and 79% R-uncertain in non-kit cases (p < 0.0001). Compared with non-kit resections, kit resections had 12.3 times the adjusted odds of R0 versus R-uncertainty.Of 2,100 R-uncertain resections, kit cases had lower percentages of non-examination of lymph nodes, 1% vs. 14% (p < 0.0001) and non-examination of mediastinal lymph nodes, 8% vs. 35% (p < 0.0001). With the kit, more R-uncertain cases had examination of stations 7 (43% vs. 22%, p < 0.0001) and 10 (67% vs. 45%, p < 0.0001).The adjusted hazard ratio (aHR) for kit cases versus non-kit cases was 0.75 (confidence interval [CI]: 0.66-0.85, p < 0.0001). In 2,100 subjects with R-uncertain resections, kit cases had an aHR of 0.79 versus non-kit cases ([CI: 0.64-0.99], p=0.0384); however, in the 1,199 R0 resections the survival difference was not significant (aHR: 0.85[0.68-1.07], p = 0.17). CONCLUSIONS AND RELEVANCE: A lymph node kit increased overall survival by increasing R0, reducing the probability of R-uncertain resections, and diminishing extreme R-uncertainty.

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