Cargando…
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
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, an...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474412/ https://www.ncbi.nlm.nih.gov/pubmed/34590011 http://dx.doi.org/10.1016/j.jtocrr.2021.100161 |
_version_ | 1784575214334509056 |
---|---|
author | Smeltzer, Matthew P. Faris, Nicholas R. Fehnel, Carrie Akinbobola, Olawale Saulsberry, Andrea Meadows-Taylor, Meghan Pacheco, Alicia Ray, Meredith Osarogiagbon, Raymond U. |
author_facet | Smeltzer, Matthew P. Faris, Nicholas R. Fehnel, Carrie Akinbobola, Olawale Saulsberry, Andrea Meadows-Taylor, Meghan Pacheco, Alicia Ray, Meredith Osarogiagbon, Raymond U. |
author_sort | Smeltzer, Matthew P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8474412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84744122021-09-28 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 Smeltzer, Matthew P. Faris, Nicholas R. Fehnel, Carrie Akinbobola, Olawale Saulsberry, Andrea Meadows-Taylor, Meghan Pacheco, Alicia Ray, Meredith Osarogiagbon, Raymond U. JTO Clin Res Rep Original Article 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. Elsevier 2021-03-09 /pmc/articles/PMC8474412/ /pubmed/34590011 http://dx.doi.org/10.1016/j.jtocrr.2021.100161 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Smeltzer, Matthew P. Faris, Nicholas R. Fehnel, Carrie Akinbobola, Olawale Saulsberry, Andrea Meadows-Taylor, Meghan Pacheco, Alicia Ray, Meredith Osarogiagbon, Raymond U. 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474412/ https://www.ncbi.nlm.nih.gov/pubmed/34590011 http://dx.doi.org/10.1016/j.jtocrr.2021.100161 |
work_keys_str_mv | AT smeltzermatthewp impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT farisnicholasr impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT fehnelcarrie impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT akinbobolaolawale impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT saulsberryandrea impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT meadowstaylormeghan impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT pachecoalicia impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT raymeredith impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis AT osarogiagbonraymondu impactofalymphnodespecimencollectionkitonthedistributionandsurvivalimplicationsoftheproposedrevisedlungcancerresidualdiseaseclassificationapropensitymatchedanalysis |