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Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma
BACKGROUND: Tumor size is a valuable prognostic factor because it is considered a measure of tumor burden. However, it is not always correlated with the tumor burden. This study aimed to identify the prognostic role of pathological tumor proportional size using the proportion of tumor cells on the p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108050/ https://www.ncbi.nlm.nih.gov/pubmed/35419984 http://dx.doi.org/10.1111/1759-7714.14427 |
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author | Jeon, Hyun Woo Kim, Young‐Du Sim, Sung Bo Moon, Mi Hyoung |
author_facet | Jeon, Hyun Woo Kim, Young‐Du Sim, Sung Bo Moon, Mi Hyoung |
author_sort | Jeon, Hyun Woo |
collection | PubMed |
description | BACKGROUND: Tumor size is a valuable prognostic factor because it is considered a measure of tumor burden. However, it is not always correlated with the tumor burden. This study aimed to identify the prognostic role of pathological tumor proportional size using the proportion of tumor cells on the pathologic report after curative resection in pathologic stage I lung adenocarcinoma. METHODS: We retrospectively reviewed the medical records of 630 patients with pathologic stage I lung adenocarcinoma after lung resection for curative aims. According to the pathologic data, the proportion of tumor cells was reviewed and pathological tumor proportional size was estimated by multiplying the maximal diameter of the tumor by the proportion of tumor cells. We investigated the prognostic role of pathological tumor proportional size. RESULTS: The median tumor size was 2 cm (range: 0.3–4), and the median pathological tumor proportional size was 1.5 (range: 0.12–3.8). This value was recategorized according to the current tumor‐node‐metastasis (TNM) classification, and 184 patients showed down staging compared with the current stage. The survival curve for disease‐free survival using pathological tumor proportional size showed more distinction than the current stage classification. Multivariate analysis revealed that a down stage indicated a favorable prognostic factor. CONCLUSION: Pathological tumor cell proportional size may be associated with prognosis in stage I lung adenocarcinoma. If the pathological tumor proportional size shows a downward stage, it may indicate a smaller tumor burden and better prognosis |
format | Online Article Text |
id | pubmed-9108050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-91080502022-05-20 Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma Jeon, Hyun Woo Kim, Young‐Du Sim, Sung Bo Moon, Mi Hyoung Thorac Cancer Original Articles BACKGROUND: Tumor size is a valuable prognostic factor because it is considered a measure of tumor burden. However, it is not always correlated with the tumor burden. This study aimed to identify the prognostic role of pathological tumor proportional size using the proportion of tumor cells on the pathologic report after curative resection in pathologic stage I lung adenocarcinoma. METHODS: We retrospectively reviewed the medical records of 630 patients with pathologic stage I lung adenocarcinoma after lung resection for curative aims. According to the pathologic data, the proportion of tumor cells was reviewed and pathological tumor proportional size was estimated by multiplying the maximal diameter of the tumor by the proportion of tumor cells. We investigated the prognostic role of pathological tumor proportional size. RESULTS: The median tumor size was 2 cm (range: 0.3–4), and the median pathological tumor proportional size was 1.5 (range: 0.12–3.8). This value was recategorized according to the current tumor‐node‐metastasis (TNM) classification, and 184 patients showed down staging compared with the current stage. The survival curve for disease‐free survival using pathological tumor proportional size showed more distinction than the current stage classification. Multivariate analysis revealed that a down stage indicated a favorable prognostic factor. CONCLUSION: Pathological tumor cell proportional size may be associated with prognosis in stage I lung adenocarcinoma. If the pathological tumor proportional size shows a downward stage, it may indicate a smaller tumor burden and better prognosis John Wiley & Sons Australia, Ltd 2022-04-13 2022-05 /pmc/articles/PMC9108050/ /pubmed/35419984 http://dx.doi.org/10.1111/1759-7714.14427 Text en © 2022 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Jeon, Hyun Woo Kim, Young‐Du Sim, Sung Bo Moon, Mi Hyoung Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma |
title | Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma |
title_full | Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma |
title_fullStr | Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma |
title_full_unstemmed | Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma |
title_short | Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma |
title_sort | predicting prognosis using a pathological tumor cell proportion in stage i lung adenocarcinoma |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108050/ https://www.ncbi.nlm.nih.gov/pubmed/35419984 http://dx.doi.org/10.1111/1759-7714.14427 |
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