scholarly journals Aberrant ALK1 Mrna Expression Patterns are Associated with Poor Prognosis in Non-Small Cell Lung Cancer (NSCLC) Patients. A Hellenic Cooperative Oncology Group Study

2012 ◽  
Vol 23 ◽  
pp. ix430-ix431
Author(s):  
V. Kotoula ◽  
M. Bobos ◽  
S. Lakis ◽  
K. Papadopoulou ◽  
S. Levva ◽  
...  
2019 ◽  
Vol 8 (1) ◽  
pp. 83 ◽  
Author(s):  
Chao-Ju Chen ◽  
Po-An Chou ◽  
Ming-Shyan Huang ◽  
Yu-Peng Liu

Non-small-cell lung cancer (NSCLC) is a deadly malignancy with a high prevalence worldwide. A reliable biomarker that can predict the prognosis is required to determine the therapeutic strategy. TIP30 was first identified as a tumor suppressor. A number of mechanistic studies indicated that the downregulation of TIP30 enhances the stemness, migration and survival of NSCLC cells. However, the clinical relevance of TIP30 for the prognosis of NSCLC is unknown. From a meta-analysis of public microarray datasets, we showed the upregulation of TIP30 mRNA expression was associated with worse overall survival of NSCLC patients, which contradicted the tumor suppressive role of TIP30. It is worth noting that the TIP30 mRNA expression was not correlated with its protein expression in 15 NSCLC cell lines. The results from the immunohistochemistry of a tissue microarray showed the downregulation of the TIP30 protein expression was associated with a higher risk of metastasis. In addition, the decrease in TIP30 protein was correlated with worse overall and progression-free survival of the NSCLC patients. Multivariate analysis suggested the loss of TIP30 protein was an independent factor to predict the poor prognosis of NSCLC. Our data indicated that TIP30 protein, not mRNA, would be a potential prognostic biomarker of NSCLC.


2021 ◽  
Author(s):  
You-Lung Chang ◽  
Yen-Fu Chen ◽  
Ying-Yin Chen ◽  
Shih-Chieh Chang ◽  
Cheng-Yu Chang ◽  
...  

Abstract Backgrounds: Astrocyte-elevated gene-1 (AEG-1) functions as an oncogene and regulates angiogenesis in non-small cell lung cancer (NSCLC). In this prospective study, we assessed the values of plasma AEG-1 mRNA expression by liquid biopsy associated with tumor response and survival in NSCLC patients treated with pemetrexed. Methods: Patients diagnosed advanced NSCLC were enrolled to be treated with pemetrexed combined platinum as first-line chemotherapy. All patients underwent blood sampling before any cancer treatment (C0) and at first response evaluation after two cycles (C2) treatments. Response to chemotherapy and survival were assessed. Plasma mRNA was extracted from peripheral blood mononuclear cell (PBMC) and quantification of RNA was performed by real-time PCR.Results: A total of 50 patients with advanced NSCLC were included and 13 of 50 patients combined with bevacizumab. In patient groups of SD (n = 13) and PD (n = 10), the plasma mRNA of AEG-1, thymidylate synthase (TS) and CK19 were elevated significantly at C2 compared to patients in treatment response group (PR, n = 27) (PR v.s. SD or PD, AEG-1: 1.22 ± 0.80 v.s. 4.51 ± 15.45, p = 0.043). NSCLC patients had elevated AEG-1 (AEG-1 ≥ 2) after 2-cycle chemotherapy had shorter PFS and OS (high AEG-1 v.s. low AEG-1, median, PFS: 5.5 v.s. 11.9 months, p = 0.021; OS: 25.9 v.s. 40.8 months, p = 0.019, respectively). In Cox regression analysis, increased plasma mRNA expression of AEG-1indicated poor prognosis in survival.Conclusion: Circulating mRNA concentration of AEG-1 could be a predictive and prognostic biomarker in NSCLC patients treated with pemetrexed. Increased expression of AEG-1 contributed to the chemoresistance and caused lung cancer progression.


Lung Cancer ◽  
1993 ◽  
Vol 10 (1-2) ◽  
pp. 85-89
Author(s):  
Nicholas A. Pavlidis ◽  
George Klouvas ◽  
Costas Nicolaides ◽  
Apostolos Karantanas ◽  
Marios Beer ◽  
...  

2000 ◽  
Vol 18 (7) ◽  
pp. 1451-1457 ◽  
Author(s):  
Pasquale Comella ◽  
Giuseppe Frasci ◽  
Nicola Panza ◽  
Luigi Manzione ◽  
Giuseppe De Cataldis ◽  
...  

PURPOSE: In our previous phase II study, the cisplatin, gemcitabine, and vinorelbine (PGV) regimen produced a median survival time (MST) of approximately 1 year in advanced non–small-cell lung cancer (NSCLC) patients. The present study was aimed at comparing the MST of patients treated with this triplet regimen with the MSTs of patients receiving cisplatin and vinorelbine (PV) or cisplatin and gemcitabine (PG). PATIENTS AND METHODS: From April 1997, patients with locally advanced or metastatic NSCLC, an age of ≤ 70 years, and an Eastern Cooperative Oncology Group performance status ≤ 1 were randomized to receive one of the following regimens: cisplatin 50 mg/m2, gemcitabine 1,000 mg/m2, and vinorelbine 25 mg/m2 on days 1 and 8 every 3 weeks (arm A); cisplatin 100 mg/m2 on day 1 and gemcitabine 1,000 mg/m2 on days 1, 8, and 15 every 4 weeks (arm B); or cisplatin 120 mg/m2 on days 1 and 29 and vinorelbine 30 mg/m2/wk (arm C). According to the two-stage design for phase III trials, an interim analysis was planned when the first 60 patients per arm were assessable for survival. RESULTS: The survival data of 180 NSCLC patients (stage IIIB, 76 patients; stage IV, 104 patients) were analyzed in April 1999. Overall, 128 patients had died (PGV, n = 33; PG, n = 42; and PV, n = 53). The MST of patients in the PGV, PG, and PV arms was 51, 42, and 35 weeks, respectively, and the corresponding 1-year projected survival rates were 45%, 40%, and 34%, respectively. When only patients with stage IV disease were considered, an even stronger difference was seen between PGV (MST = 47 weeks) and both PG (34 weeks) and PV (27 weeks). At multivariate Cox analysis, the estimate hazard of death for patients receiving PGV compared with those receiving PV was 0.35 (95% confidence interval, 0.16 to 0.77; P < .01). The response rates were 47% in the PGV arm, 30% in the PG arm, 25% in the PV arm. Both hematologic and nonhematologic toxicities were not substantially worse in patients who received the PGV regimen. CONCLUSION: The PGV regimen is associated with a substantial survival gain (MST > 3 months longer) when compared with the PV combination. Because this difference in survival met one of the early stopping rules, the accrual in the PV arm has been stopped (null hypothesis rejected). Enrollment still continues in the PGV and PG arm to ascertain whether the PGV regimen can also produce a significantly longer survival than that obtained with the PG regimen.


2005 ◽  
Vol 23 (1) ◽  
pp. 175-183 ◽  
Author(s):  
Tien Hoang ◽  
Ronghui Xu ◽  
Joan H. Schiller ◽  
Philip Bonomi ◽  
David H. Johnson

Purpose (1) Identify clinical factors that can be used to predict survival in chemotherapy-naive patients with advanced non–small-cell lung cancer (NSCLC) treated with third-generation chemotherapy regimens, and (2) build a clinical model to predict survival in this patient population. Patients and Methods Using data from two randomized, phase III Eastern Cooperative Oncology Group (ECOG) trials (E5592/E1594), we performed univariate and multivariate stepwise Cox regression analyses to identify survival prognostic factors. We used 75% of randomly sampled data to build a prediction model for survival, and the remaining 25% of data to validate the model. Results From 1993 to 1999, 1,436 patients with stage IV or IIIB NSCLC with effusion were treated with platinum-based doublets (involving either paclitaxel, docetaxel, or gemcitabine). The response rate and median survival time were 20% and 8.2 months, respectively. One- and 2-year survivals were 33% and 11%, respectively. In multivariate analysis, six independent poor prognostic factors were identified: skin metastasis (hazard ratio [HR], 1.88), lower performance status (ECOG 1 or 2; HR, 1.46), loss of appetite (HR, 1.62), liver metastasis (HR, 1.32), ≥ four metastatic sites (HR, 1.20), and no prior surgery (HR, 1.16). A nomogram using six pretreatment prognostic factors was built to predict 1- and 2-year survival. Conclusion Six pretreatment factors can be used to predict survival in chemotherapy-naive NSCLC patients treated with standard chemotherapy. Using our prognostic nomogram, 1- and 2-year survival probability of NSCLC patients can be estimated before treatment. This prognostic model may help clinicians and patients in clinical decision making, as well as investigators in research planning.


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