Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeon, Hyun Woo, Kim, Young‐Du, Sim, Sung Bo, Moon, Mi Hyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2022
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
_version_ 1784708619411914752
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
work_keys_str_mv AT jeonhyunwoo predictingprognosisusingapathologicaltumorcellproportioninstageilungadenocarcinoma
AT kimyoungdu predictingprognosisusingapathologicaltumorcellproportioninstageilungadenocarcinoma
AT simsungbo predictingprognosisusingapathologicaltumorcellproportioninstageilungadenocarcinoma
AT moonmihyoung predictingprognosisusingapathologicaltumorcellproportioninstageilungadenocarcinoma