Prognostic Impact of Histologic Grade and GLUT1 Expression in Patients with Lung Adenocarcinoma

Lung adenocarcinoma, a subtype of non-small cell lung cancer, exhibits heterogeneous biological characteristics depending on its histological subtype, which has clinically significant implications for the prognosis. This study examined the prognostic value of a classification system that combines the histological grade and GLUT1 expression level by analyzing the clinicopathological features and survival differences among subgroups of patients with lung adenocarcinoma. Two hundred and eight surgically resected patients were analyzed retrospectively and classified into four groups based on the histological grade (Grade 2 or 3) and GLUT1 expression level (Low or High). The clinicopathological parameters and survival outcomes were assessed using cross-tabulation, Kaplan-Meier survival analysis, and the Cox proportional hazards model. The histological grade and GLUT1 expression level were found to be independent prognostic factors, and the combined classification system showed a statistically significant difference in the disease-free survival among the groups (P<0.001). In particular, the Grade 3-High group had an approximately 2.7-fold increased risk of recurrence compared to the Grade 2-Low group (hazard ratio=2.672, P=0.040). This study highlights the clinical value of a simple and reproducible model that integrates the histological classification and a metabolic biomarker, providing an effective tool for evaluating the recurrence risk in patients with lung adenocarcinoma.

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Publication Details

Journal
Korean Journal of Clinical Laboratory Science
Published
2025-09-29
DOI
https://doi.org/10.15324/kjcls.2025.57.3.300
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
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article

Prognostic Impact of Histologic Grade and GLUT1 Expression in Patients with Lung Adenocarcinoma

Huachun Song, Annan Yang, Jaemoon Koh, S. R. Lee
Korean Journal of Clinical Laboratory Science
Lung Cancer Treatments and Mutations
article

Prognostic Impact of Histologic Grade and GLUT1 Expression in Patients with Lung Adenocarcinoma

Huachun Song, Annan Yang, Jaemoon Koh, S. R. Lee
article en

Abstract

Lung adenocarcinoma, a subtype of non-small cell lung cancer, exhibits heterogeneous biological characteristics depending on its histological subtype, which has clinically significant implications for the prognosis. This study examined the prognostic value of a classification system that combines the histological grade and GLUT1 expression level by analyzing the clinicopathological features and survival differences among subgroups of patients with lung adenocarcinoma. Two hundred and eight surgically resected patients were analyzed retrospectively and classified into four groups based on the histological grade (Grade 2 or 3) and GLUT1 expression level (Low or High). The clinicopathological parameters and survival outcomes were assessed using cross-tabulation, Kaplan-Meier survival analysis, and the Cox proportional hazards model. The histological grade and GLUT1 expression level were found to be independent prognostic factors, and the combined classification system showed a statistically significant difference in the disease-free survival among the groups (P<0.001). In particular, the Grade 3-High group had an approximately 2.7-fold increased risk of recurrence compared to the Grade 2-Low group (hazard ratio=2.672, P=0.040). This study highlights the clinical value of a simple and reproducible model that integrates the histological classification and a metabolic biomarker, providing an effective tool for evaluating the recurrence risk in patients with lung adenocarcinoma.

Korean Journal of Clinical Laboratory ScienceVol. 57(3)
Korea University (KR), Seoul National University Hospital (KR), Shinhan University (KR)
Openalex Percentile: Top 61%
Lung Cancer Treatments and Mutations
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Prognostic Impact of Histologic Grade and GLUT1 Expression in Patients with Lung Adenocarcinoma — Huachun Song, Annan Yang, et al. · Korean Journal of Clinical Laboratory Science (2025) | TGRS Research Map | TGRS