2020Journal of Clinical OncologyRequires access

Specific organ metastases and survival of advanced non-small cell lung cancer (NSCLC) patients with EGFR mutation.

Tiantian Shi, Long Wang, Zhisong Fan, Li Feng, Jing Han, Yu Su, Xinliang Zhou, Jing Zuo, Fengling Liu, Da Jiang, Xiaoli Xu, Yudong Wang

Open publisher page 1 citations

Abstract

e21527 Background: The retrospective study was performed to evaluate the clinicopathological characteristics and survival associated with distant metastasis from advanced NSCLC with EGFR mutation. Methods: The records of metastasis NSCLC patients with EGFR mutation at the time of diagnosis between 2012 and 2018 were reviewed. The Kaplan-Meier method was used to assess survival curves and the log-rank test was used in the univariate analysis. The multivariate survival analysis were performed using the Cox proportional hazards model to investigate the effects of clinicopathological factors on survival. All the statistical analyses were performed using SPSS 23.0 statistical software and a statistically significant difference was determined as P < 0.05. Results: A total of 258 NSCLC patients with EGFR mutation were enrolled in this study, including 146 cases of female (56.6%), 241 cases of adenocarcinoma (93.4%) and 212 cases of non-smokers (82.2%). Among these patients, 65(25.2%), 111(43.0%), 22(8.5%), 107 (41.5%), 11(4.3%), 87 (33.7%), 65 (25.2%) had brain, bone, liver, lung, adrenal gland, pleural metastasis and extrathoracic lymph node metastases, respectively. The median OS of total patients was 32.9 months (95% CI: 29.8-36.0). In the univariate analysis, patients with metastases to the bone (p = 0.001), liver (p = 0.012), extrathoracic lymph node(p = 0.006), and pleural(p = 0.008) exhibited a poorer survival compared to those without metastases to these regions. Abdominal metastases (p = 0.005) and extremity metastases (p = 0.002) were statistically independent prognostic factors. Association between metastatic region and the response to TKI treatment, liver metastases (p = 0.033), extrathoracic lymph node metastases (p = 0.000) and bone metastases (p = 0.009) were correlated with the poor response of TKI treatment, and the abdominal metastasis ( p= 0.029) and extremity metastases ( p= 0.016) were correlated with the poor response of TKI treatment. Conclusions: Bone metastases, liver metastases, extrathoracic lymph node metastases and pleural metastases were independent prognostic factors of NSCLC patients with EGFR mutation. Liver metastases, extrathoracic lymph node metastases, and bone metastases were correlated with the poor response of TKI treatment.

About this research paper

What this paper is about

e21527 Background: The retrospective study was performed to evaluate the clinicopathological characteristics and survival associated with distant metastasis from advanced NSCLC with EGFR mutation. Methods: The records of metastasis NSCLC patients with EGFR mutation at the time of diagnosis between 2012 and 2018 were reviewed. The Kaplan-Meier method was used to assess survival curves and the log-rank test was used in the univariate analysis. The multivariate survival analysis were performed using the Cox proportional hazards model to investigate the effects of clinicopathological factors on survival. All the statistical analyses were performed using SPSS 23.0 statistical software and a statistically significant difference was determined as P < 0.05. Results: A total of 258 NSCLC patients with EGFR mutation were enrolled in this study, including 146 cases of female (56.6%), 241 cases of adenocarcinoma (93.4%) and 212 cases of non-smokers (82.2%). Among these patients, 65(25.2%), 111(43.0%), 22(8.5%), 107 (41.5%), 11(4.3%), 87 (33.7%), 65 (25.2%) had brain, bone, liver, lung, adrenal gland, pleural metastasis and extrathoracic lymph node metastases, respectively. The median OS of total patients was 32.9 months (95% CI: 29.8-36.0). In the univariate analysis, patients with metastases to the bone (p = 0.001), liver (p = 0.012), extrathoracic lymph node(p = 0.006), and pleural(p = 0.008) exhibited a poorer survival compared to those without metastases to these regions. Abdominal metastases (p = 0.005) and extremity metastases (p = 0.002) were statistically independent prognostic factors. Association between metastatic region and the response to TKI treatment, liver metastases (p = 0.033), extrathoracic lymph node metastases (p = 0.000) and bone metastases (p = 0.009) were correlated with the poor response of TKI treatment, and the abdominal metastasis ( p= 0.029) and extremity metastases ( p= 0.016) were correlated with the poor response of TKI treatment. Conclusions: Bone metastases, liver metastases, extrathoracic lymph node metastases and pleural metastases were independent prognostic factors of NSCLC patients with EGFR mutation. Liver metastases, extrathoracic lymph node metastases, and bone metastases were correlated with the poor response of TKI treatment.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

e21527 Background: The retrospective study was performed to evaluate the clinicopathological characteristics and survival associated with distant metastasis from advanced NSCLC with EGFR mutation. Methods: The records of metastasis NSCLC patients with EGFR mutation at the time of diagnosis between 2012 and 2018 were reviewed. The Kaplan-Meier method was used to assess survival curves and the log-rank test was used in the univariate analysis. The multivariate survival analysis were performed using the Cox proportional hazards model to investigate the effects of clinicopathological factors on survival. All the statistical analyses were performed using SPSS 23.0 statistical software and a statistically significant difference was determined as P < 0.05. Results: A total of 258 NSCLC patients with EGFR mutation were enrolled in this study, including 146 cases of female (56.6%), 241 cases of adenocarcinoma (93.4%) and 212 cases of non-smokers (82.2%). Among these patients, 65(25.2%), 111(43.0%), 22(8.5%), 107 (41.5%), 11(4.3%), 87 (33.7%), 65 (25.2%) had brain, bone, liver, lung, adrenal gland, pleural metastasis and extrathoracic lymph node metastases, respectively. The median OS of total patients was 32.9 months (95% CI: 29.8-36.0). In the univariate analysis, patients with metastases to the bone (p = 0.001), liver (p = 0.012), extrathoracic lymph node(p = 0.006), and pleural(p = 0.008) exhibited a poorer survival compared to those without metastases to these regions. Abdominal metastases (p = 0.005) and extremity metastases (p = 0.002) were statistically independent prognostic factors. Association between metastatic region and the response to TKI treatment, liver metastases (p = 0.033), extrathoracic lymph node metastases (p = 0.000) and bone metastases (p = 0.009) were correlated with the poor response of TKI treatment, and the abdominal metastasis ( p= 0.029) and extremity metastases ( p= 0.016) were correlated with the poor response of TKI treatment. Conclusions: Bone metastases, liver metastases, extrathoracic lymph node metastases and pleural metastases were independent prognostic factors of NSCLC patients with EGFR mutation. Liver metastases, extrathoracic lymph node metastases, and bone metastases were correlated with the poor response of TKI treatment.

Key concepts: Medicine, Internal medicine, Oncology, Adenocarcinoma, Univariate analysis, Lung cancer, Proportional hazards model, Log-rank test

Related papers

Back to paper searchBrowse research topicsOriginal source
Specific organ metastases and survival of advanced non-small cell lung cancer (NSCLC) patients with EGFR mutation. — Research Paper | ScholarLens