Publications by authors named "Tongjie Gu"

4 Publications

  • Page 1 of 1

A predictive model based on liquid biopsy for non-small cell lung cancer to assess patient's prognosis: Development and application.

Tissue Cell 2022 Aug 14;77:101854. Epub 2022 Jun 14.

Department of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, China; Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, China.

Background And Objective: Improving ability to predict the prognosis of patients with progressive lung cancer is an important task in the era of precision medicine. Here, a predictive model based on liquid biopsy for non-small cell lung cancer (NSCLC) was established to improve prognosis prediction in patients with progressive NSCLC.

Methods: Clinical data and blood samples of 500 eligible patients were collected and screened from the electronic case database and blood sample center of Hwa Mei Hospital, University of Chinese Academy of Sciences and Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences. Patients were randomly assigned to training set (300 cases) and validation set (200 cases) in a ratio of 3:2 by random number method. Baseline levels of the two datasets were compared. Progression-free survival (PFS) analysis was performed on the training set using Kaplan-Meier method. The independent prognostic factors affecting patients' PFS were determined by multivariate Cox regression analysis. The prognosis predictive model of patients was constructed by using the nomogram. Calibration curve and C-index were used to evaluate the accuracy of the prognosis predictive model in both internal and external validations.

Results: In training set, the age distribution of patients was 59.00 (46.00, 71.00) years, including 137 (45.7 %) females and 163 (54.3 %) males, 198 cases (66.0 %) with Eastern Cooperative Oncology Group (ECOG) score 0-1, and 102 cases (34.0 %) with ECOG score 2. In verification set, the age distribution of patients was 60.00 (48.25, 73.00) years, including 92 females (46.0 %) and 108 males (54.0 %), 130 cases (65.0%) with ECOG score 0-1, and 70 cases (35.0 %) with ECOG score 2. Patients in training set showed PFS differences stratified by gene mutation type (p < 0.0001), differentiation degree (p < 0.0001), circulating tumor cell (CTC) content (p = 0.00026), and brain metastasis (p < 0.0001). Besides, multivariate Cox regression analysis indicated that gene mutation type, differentiation degree, CTC content (p = 0.002), and brain metastasis (p = 0.005) are independent prognostic factors for PFS. These factors were included in the nomogram parameters, and both internally validated calibration curve (C-index = 0.672) and externally validated calibration curve (C-index = 0.657), showing good predictive performance of the model.

Conclusion: The predictive model has a good predictive ability for prognosis of patients with progressive NSCLC. Notably, the differentiation degree and CTC content are both impact factors for PFS of patients, and the performance of these indicators in predicting the survival of patients with progressive NSCLC needs to be clarified in the future.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.tice.2022.101854DOI Listing
August 2022

Endocan, a Risk Factor for Developing Acute Respiratory Distress Syndrome among Severe Pneumonia Patients.

Can Respir J 2019 1;2019:2476845. Epub 2019 Apr 1.

Department of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, No. 41, Xibei Street, Ningbo 315000, Zhejiang, China.

Background: Severe pneumonia (SP) has been widely accepted as a major cause for acute respiratory distress syndrome (ARDS), and the development of ARDS is significantly associated with increased mortality. This study aimed to identify potential predictors for ARDS development in patients with SP.

Methods: Eligible SP patients at admission from January 2013 to June 2017 were prospectively enrolled, and ARDS development within hospital stay was identified. Risk factors for ARDS development in SP patients were analyzed by univariate and multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve analysis with the area under the curve (AUC) was performed for the predictive value of endocan for ARDS development.

Results: A total of 145 SP patients were eventually enrolled into the final analysis, of which 37 developed ARDS during the hospital stay. Our final multivariate logistic regression analysis suggested plasma endocan expression as the only independent risk factor for ARDS development in SP patients (OR: 1.57, 95% CI: 1.14-2.25, =0.021). ROC curve analysis of plasma endocan resulted in an AUC of 0.754, 95% CI of 0.642-0.866, a cutoff value of 11.6 ng/mL, a sensitivity of 78.7%, and a specificity of 70.3%, respectively ( < 0.01).

Conclusions: Endocan expression at ICU admission is a reliable predictive factor in predicting ARDS in patients with SP.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1155/2019/2476845DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466887PMC
April 2020

Pretreatment albumin/fibrinogen ratio as a promising predictor for the survival of advanced non small-cell lung cancer patients undergoing first-line platinum-based chemotherapy.

BMC Cancer 2019 Mar 29;19(1):288. Epub 2019 Mar 29.

Department of Respiratory, Hwa Mei Hospital, University of Chinese Academy of Sciences, NO. 41, Xibei Street, Ningbo, 315000, Zhejiang Province, China.

Background: This study aimed to identify potential predictive factors for the survival of advanced non small-cell lung cancer (NSCLC) patients undergoing first-line platinum-based chemotherapy.

Methods: A total of 270 advanced NSCLC patients who underwent first-line platinum-based chemotherapy from June, 2011 to June, 2015 were enrolled. A receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of the albumin-to-fibrinogen ratio (AFR) for overall survival (OS). The predictive factors for survival were evaluated by univariate and multivariate analyses via the Cox proportional hazards regression model. The OS and progression free survival (PFS) results were determined via the Kaplan-Meier method using the log-rank analysis.

Results: Based on the results of the ROC curve analysis, 8.02 was accepted as the cut-off AFR value for OS. The metastasis stage (M0 vs M1a/b, HR: 1.73, 95% CI: 1.15-2.59, P = 0.020) and AFR (≤8.02 vs > 8.02, HR: 1.80, 95% CI: 1.09-2.78, P = 0.025) were two independent risk factors for PFS by multivariate Cox regression analysis. The AFR (≤8.02 vs > 8.02, HR: 1.79, 95% CI: 1.11-2.59, P = 0.029) was a significant predictive factor for OS in advanced NSCLC patients. The PFS (P = 0.008) and OS (P = 0.003) in the high AFR group were significantly improved compared with those in the low AFR group via the Kaplan-Meier method using the log-rank analysis.

Conclusions: The AFR could be a potential effective predictive factor for the survival in advanced NSCLC patients undergoing first-line platinum-based chemotherapy.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1186/s12885-019-5490-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441182PMC
March 2019

A meta-analysis survey of appropriate bone turnover markers in the detection of bone metastasis in lung cancer.

Int J Clin Oncol 2017 Dec 4;22(6):1015-1025. Epub 2017 Jul 4.

Department of Respiratory, Ningbo No. 2 Hospital, Ningbo, No. 41 Northwest Street, Haishu District, Ningbo, 315010, Zhejiang, China.

Background: A number of studies have investigated the clinical significance of bone turnover markers (BTMs) for the diagnosis of bone metastasis (BM) in lung cancer; however, they led to contradictory results. The aim of this meta-analysis was to investigate whether BTMs differ between lung cancer patients with and without BM.

Methods: Articles were identified by searching Medline, Embase, Web of Science and Scopus. The studies that were identified were pooled and the weighted mean difference (WMD) and its corresponding 95% confidence interval (CI) were calculated. Subgroup analyses and publication bias detection were also conducted.

Results: A final analysis of 1720 subjects (707 patients with BM and 1013 patients without BM) was performed from 16 cohort studies. From the pooled data in the meta-analysis, the total alkaline phosphatase (TALP) (104.35 U/l [95% CI 33.36-175.34]), bone-specific ALP (BALP) (13.24 μg/l [95% CI 8.50-17.98] or 6.84 U/l [95% CI 2.98-10.70]), C-terminal cross-linked telopeptide of type I collagen (ICTP) (5.07 μg/l [95% CI 3.58-6.56]) and N-terminal cross-linked telopeptide of type I collagen (NTX) (5.08 nM bone collagen equivalent/l [95% CI 2.82-7.33]) were significantly lower among BM patients than non-BM patients. Subgroup analyses detected that the serum level of tartrate-resistant acid phosphatase isoform 5b was significantly reduced in Caucasian patients with BM (-0.64 U/l [95% CI -1.02 to -0.25]), while increased in Asian patients with BM (2.69 U/l [95% CI 0.08-5.31]), compared to patients without BM.

Conclusions: The present meta-analysis suggested that serum measurement of TALP, BALP, ICTP and NTX might be helpful in detecting BM in lung cancer.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10147-017-1159-1DOI Listing
December 2017
-->