Literature DB >> 29571999

The ratio of cancer cells to stroma within the invasive area is a histologic prognostic parameter of lung adenocarcinoma.

Tomohiro Ichikawa1, Keiju Aokage2, Masato Sugano3, Tomohiro Miyoshi2, Motohiro Kojima4, Satoshi Fujii4, Takeshi Kuwata3, Atsushi Ochiai5, Kenji Suzuki6, Masahiro Tsuboi2, Genichiro Ishii7.   

Abstract

OBJECTIVES: This study evaluated whether the proportion of cancer cells to non-cancerous stroma within the invasive area is associated with the prognosis of patients with lung adenocarcinoma.
MATERIALS AND METHODS: A total of 127 patients with lung adenocarcinomas with tumors larger than 3 cm in total size were enrolled in this study. We classified the tumors according to the ratio of area occupied by cancer cells within the invasive area (Type A: more than 50% of the invasive area, Type B: 10-50%, and Type C: less than 10%) and analyzed the clinicopathological differences between Types A, B, and C.
RESULTS: The invasive size of Type A tumors (n = 35) was significantly larger than those of the other two tumor types; however, there was no significant difference in the invasive size between Types B (n = 65) and C (n = 25) tumors. The recurrence-free survival time of patients with Type C tumors was significantly longer than those of patients with Type A and B (P < .001) tumors. Multivariate analysis revealed that Type C tumor was an independent favorable prognostic factor (P = .037) but that invasive size was not. The invasive area of Type C tumor was composed of a significantly higher proportion of collapsed elastic fibers than the invasive areas of Type A and B tumors (P < .001).
CONCLUSION: A lower cancer cell to stroma ratio within the invasive area could be a significant prognostic factor in lung adenocarcinoma, suggesting that not only the invasive size but also the invasive character might be an important histologic prognostic parameter.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer cell ratio; Elastic fiber; Invasive area; Lung adenocarcinoma; Prognosis

Mesh:

Year:  2018        PMID: 29571999     DOI: 10.1016/j.lungcan.2018.01.023

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  4 in total

1.  Epithelial cell size dysregulation in human lung adenocarcinoma.

Authors:  Clifford W Sandlin; Song Gu; Jun Xu; Charuhas Deshpande; Michael D Feldman; Matthew C Good
Journal:  PLoS One       Date:  2022-10-06       Impact factor: 3.752

2.  Predictive Role of Tumor-Stroma Ratio for Survival of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis.

Authors:  Xuefeng Zhang; Hongfu Ma; Liang Zhang; Fenghuan Li
Journal:  Pathol Oncol Res       Date:  2022-01-21       Impact factor: 3.201

3.  CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma.

Authors:  Yinghao Meng; Hao Zhang; Qi Li; Fang Liu; Xu Fang; Jing Li; Jieyu Yu; Xiaochen Feng; Mengmeng Zhu; Na Li; Guodong Jing; Li Wang; Chao Ma; Jianping Lu; Yun Bian; Chengwei Shao
Journal:  Front Oncol       Date:  2021-11-08       Impact factor: 6.244

Review 4.  Artificial Intelligence in Lung Cancer Pathology Image Analysis.

Authors:  Shidan Wang; Donghan M Yang; Ruichen Rong; Xiaowei Zhan; Junya Fujimoto; Hongyu Liu; John Minna; Ignacio Ivan Wistuba; Yang Xie; Guanghua Xiao
Journal:  Cancers (Basel)       Date:  2019-10-28       Impact factor: 6.639

  4 in total

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