scholarly journals Clinicopathological characteristics of peripheral clinical stage IA lung adenocarcinoma with high Ki-67 expression

2021 ◽  
Vol 10 (1) ◽  
pp. 152-161
Author(s):  
Zhan Liu ◽  
Hongxiang Feng ◽  
Shanwu Ma ◽  
Weipeng Shao ◽  
Jun Zhang ◽  
...  
2021 ◽  
Author(s):  
tengfei Yi ◽  
Shuo Li ◽  
Kun Qin ◽  
Guisong Song ◽  
Shengteng Shao ◽  
...  

Abstract To investigate the clinical value of CTR, CEA, histological type, Ki-67 and EGFR in detecting pathological lymph node metastasis (pN) in clinical stage IA (cIA) lung adenocarcinoma and to construct a pN Nomogram model. A total of 374 cIA lung adenocarcinoma patients who had undergone thoracoscopic radical resection with Systematic mediastinal lymph node dissection (SMLD) in the Department of Thoracic Surgery of the Affiliated Hospital of Qingdao University between January 2018 to January 2020 were retrospectively reviewed. The patients were divided into pN(+) and pN(-) groups. Univariate and multivariate Logistic regression analyses were used to analyze the independent risk factors of pN in lung cancer patients. The ROC curve was used to compare the accuracy of CTR, CEA and Ki-67 in predicting pN. R software was used to construct a Nomogram prediction model based on multivariate Logistic regression analysis of the pN risk. The C-index was calculated, and a calibration curve was drawn to judge the calibration degree of the model. The preoperative and intraoperative examinations showed that CTR (OR 570.406, P<0.001), CEA (OR 1.239, P<0.001) and micropapillary adenocarcinoma (OR 86.712, P<0.001) were independent risk factors of pN. Immunohistochemical analysis and gene detection showed that Ki-67 index (OR 4.832, P<0.001) and EGFR mutations, such as exon 19 (OR 10.319, P<0.001), exon 21 (OR 7.163, P<0.001) and exon 19+20 mutations (OR 570.406, P<0.001), were significant factors in predicting pN. CTR, CEA, histological type, Ki-67 index, and EGFR mutations are the predictive factors of pN in cT1a-3aN0M0 lung adenocarcinoma patients. SMLD is recommended to improve patients’ postoperative survival rate when preoperative CTR≥0.775, CEA>2.52μg/L or intraoperative rapid freezing pathology shows micropapillary components.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e18563-e18563
Author(s):  
Yuta Ibuki ◽  
Yoshihiro Miyata ◽  
Tomoharu Yoshiya ◽  
Takahiro Mimae ◽  
Yasuhiro Tsutani ◽  
...  

e18563 Background:The tumor recurrence after complete surgical resection occurs even in patients with clinical stage IA lung adenocarcinoma. The predictive factors of the distant recurrence have not been determined yet in such early stage lung adenocarcinoma patients. Methods:A total of 610 patients with clinical stage IA lung adenocarcinoma who underwent complete resection in multi-institutions were retrospectively analyzed . The correlation between clinicopathological factors andthe incidence of distant recurrence was examined. Results:Thirty six patients with distant recurrence had significant inferior overall survival. In the multivariate Cox regression analysis, solid tumor size on high resolution computed tomography (HRCT) and maximum standardized uptake (SUVmax) on 2-[18F]fluoro-2-deoxy-D-glucose-positron emission tomography/computed tomography (FDG-PET/CT) were found to be independent predictors of distant recurrence. According to receiver operating characteristic analysis, 1.6cm or more of solid tumor size and 3.3 or more of SUVmax were indicated to be an optimal criteria to detect a high risk group for distant recurrence. In fact, distant recurrence and local recurrence were more frequently observed in patients whose solid tumor size and SUVmax met the criteria than the unmet patients (24 of 104 (20.2%) patients v.s. 12 of 506 patients (2.4%)). Conclusions:Solid tumor size on HRCT and SUVmax on FDG-PET/CT were indicated to be predictive factors of distant recurrence for the patients with clinical stage IA lung adenocarcinoma. It is highly possible that neoadjuvant chemotherapy is useful for such a high risk group.


Author(s):  
Atsushi Kagimoto ◽  
Yasuhiro Tsutani ◽  
Kei Kushitani ◽  
Yuichiro Kai ◽  
Takahiro Kambara ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document