Prognostic factors for survival in advanced non-small-cell lung cancer: univariate and multivariate analyses including recursive partitioning and amalgamation algorithms in 1,052 patients. The European Lung Cancer Working Party.

1995 ◽  
Vol 13 (5) ◽  
pp. 1221-1230 ◽  
Author(s):  
M Paesmans ◽  
J P Sculier ◽  
P Libert ◽  
G Bureau ◽  
G Dabouis ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Recursive Partitioning ◽  
Working Party ◽  
Small Cell ◽  
Small Cell Lung

PURPOSE This study attempted to determine the prognostic value for survival of various pretreatment characteristics in patients with nonresectable non-small-cell lung cancer in the context of more than 10 years of experience of a European Cooperative Group. PATIENTS AND METHODS We included in the analysis all eligible patients (N = 1,052) with advanced non-small-cell lung cancer registered onto one of seven trials conducted by the European Lung Cancer Working Party (ELCWP) during one decade. The patients were treated by chemotherapy regimens based on platinum derivatives. We prospectively collected 23 variables and analyzed them by univariate and multivariate methods. RESULTS The global estimated median survival time was 29 weeks, with a 95% confidence interval of 27 to 30 weeks. After univariate analysis, we applied two multivariate statistical techniques. In a Cox regression model, the selected explanatory variables were disease extent, Karnofsky performance status, WBC and neutrophil counts, metastatic involvement of skin, serum calcium level, age, and sex. These results were confirmed by application of recursive partitioning and amalgamation algorithms (RECPAM), which led to classification of the patients into four homogeneous subgroups. CONCLUSION We confirmed by our analysis the role of well-known independent prognostic factors for survival, but also identified the effect of the neutrophil count, rarely studied, with the use of two methods: a classical Cox regression model and a RECPAM analysis. The classification of patients into the four subgroups we obtained needs to be validated in other series.

Prognostic factors for patients with advanced non-small cell lung cancer: univariate and multivariate analyses including recursive partitioning and amalgamation

Lung Cancer ◽  
1996 ◽  
Vol 15 (1) ◽  
pp. 67-77 ◽  
Author(s):  
Nagio Takigawa ◽  
Yoshihiko Segawa ◽  
Masayuki Okahara ◽  
Yoshinobu Maeda ◽  
Ichiro Takata ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Multivariate Analyses ◽  
Recursive Partitioning ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals Prognostic factors of oligometastatic non-small-cell lung cancer following radical therapy: a multicentre analysis

2020 ◽  
Vol 57 (6) ◽  
pp. 1166-1172 ◽  
Author(s):  
Isabelle Opitz ◽  
Miriam Patella ◽  
Loic Payrard ◽  
Jean Yannis Perentes ◽  
Rolf Inderbitzi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Small Cell Lung ◽  
Curative Intent ◽  
Cox Regression Analysis

Abstract OBJECTIVES Patients with oligometastatic non-small-cell lung cancer (NSCLC) may benefit from therapy with curative intent. Our goal was to identify prognostic factors related to better prognosis in a multicentre analysis of patients who underwent surgery of primary tumours in combination with radical treatment of all metastatic sites. METHODS We retrospectively reviewed the records of oligometastatic patients who underwent resection of primary tumours at 4 centres (August 2001–February 2018). Oligometastasis was defined as ≤5 synchronous metastases in ≤2 organs. Radical metastatic treatment was surgery, radiotherapy or a combination. The Cox proportional hazards model was used for identification of prognostic factors on overall survival. RESULTS We treated 124 patients; 72 (58%) were men, mean age 60 ± 9.8 years, with 87 (70%) adenocarcinoma. Sixty-seven (54%) patients had positive pathologic-N stage (pN). Brain metastases were most common (n = 76; 61%) followed by adrenal (n = 13; 10%) and bone (n = 12; 10%). Systemic therapy was administered in 101 (82%) patients. Median follow-up was 60 months [95% confidence interval (CI) 41–86]. Thirty- and 90-day mortality rates were 0 and 2.4%, respectively. One-, 2-, and 5-year overall survival were 80%, 58% and 36%, respectively. Cox regression analysis showed that patients ≤60 years [hazard ratio (HR) 0.41, 95% CI 0.24, 0.69; P = 0.001] and patients with pN0 (HR 0.38, 95% CI 0.21–0.69; P = 0.002) had a significant survival benefit. The presence of bone metastases negatively affected survival (HR 2.53, 95% CI 1.05–6.09; P = 0.04). CONCLUSIONS Treatment with curative intent of selected oligometastatic NSCLC, including resection of the primary tumour, can be performed safely and with excellent 5-year survival rates, especially in younger patients with pN0 disease.

Prognostic factors and classification of pathological single and multiple N1 in non-small cell lung cancer patients

2021 ◽  
Vol 28 (11) ◽  
pp. 2032
Author(s):  
Volkan Erdogu ◽  
Ali Kutluk ◽  
Atilla Pekcolaklar ◽  
Cemal Aker ◽  
Deniz Sansar ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients

scholarly journals A risk score-matched model analysis of 4,452 patients with small cell lung cancer: who will benefit from operative treatment

2020 ◽  
Author(s):  
Shuzhen Tan ◽  
Ying Kong ◽  
Shuilong Leng ◽  
Xiao Zhu
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Risk Scores ◽  
Small Cell Lung ◽  
Training Cohort ◽  
Calibration Algorithm

Abstract Purpose: Small-cell lung cancer (SCLC) is difficult to cure. In this study, the SEER database was used to construct a model and explore the potential prognostic factors of SCLC patients. Methods: The data were sorted out and randomly divided into training cohort and verification cohort. Univariate and multivariate Cox regression were used in the training cohort to analyze the independent prognostic factors, then they be incorporated into the Nomogram model. Using the C-index, calibration algorithm and ROC in conjunction with the risk scores, the model was verified with the verification cohort. Finally, the overall survivals of those factors were evaluated in the total cases.Results: In the training cohort, we found that age, race, sex, total stage and extension were independent factors which were included in the Nomogram model. C-index(s) that obtained from the training and verification cohorts showed that the model has predictive power. Moreover, the calibration curves and AUC results proved that the model is of great consistency not only in the training cohort but also in the verification cohort. Finally, significant differences in survival were observed among the above-mentioned factors and the overall survivals decreased over time.Conclusions: Age, race, sex, total stage and extension degree are independent risk factors for overall survival of patients. The Nomogram model can better predict the 1-year, 3-year and 5-year survival probabilities, providing accurate reference for clinical individualized treatment.

A nomogram model assessing prognostic factors in patients with chemo/radiotherapy of small-cell lung cancer

2020 ◽  
Author(s):  
Shuzhen Tan ◽  
Yongmei Huang ◽  
Ying Kong ◽  
Ming Zhang ◽  
Shuilong Leng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Risk Scores ◽  
Small Cell Lung ◽  
Training Cohort ◽  
Calibration Algorithm

Abstract Background: Small-cell lung cancer (SCLC) is difficult to cure. In this study, the SEER database was used to construct a nomogram model and explore the potential prognostic factors of SCLC patients who treated with chemo/radiotherapy. Methods: The data were sorted out and randomly divided into training cohort and verification cohort. Univariate and multivariate Cox regression were used in the training cohort to analyze the independent prognostic factors, then they be incorporated into the Nomogram model. Using the C-index, calibration algorithm and ROC in conjunction with the risk scores, the model was verified with the verification cohort. Finally, the overall survivals of those factors were evaluated in the total cases.Results: In the training cohort, we found that age, race, sex, total stage and extension were independent factors which were included in the nomogram model. C-index(s) that obtained from the training and verification cohorts showed that the model has predictive power. Moreover, the calibration curves and AUC results proved that the model is of great consistency not only in the training cohort but also in the verification cohort. Finally, significant differences in survival were observed among the above-mentioned factors and the overall survivals decreased over time.Conclusions: Age, race, sex, total stage and extension degree are independent factors for overall survival of patients. The nomogram model can better predict the 1-year, 3-year and 5-year survival probabilities, providing accurate reference for clinical individualized treatment.

Overexpression of VEGF-C and -D may predict unfavorable outcome in resected non-small cell lung cancer

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21114-21114
Author(s):  
Y. Ko ◽  
C. Jung ◽  
M. Lee ◽  
J. Kang ◽  
Y. Hong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Tissue Array ◽  
Vegf Receptor ◽  
Small Cell Lung ◽  
Resected Nsclc

21114 Background: Correlation of Vascular endothelial growth factor (VEGF)-C, VEGF-D and/or VEGF receptor 3 (VEGFR-3) with lymphatic spread, tissue invasion and poor clinical outcomes has been observed in various cancers. Nodal metastasis is known to one of poor prognostic factors in non-small cell lung cancer (NSCLC). We investigated the correlation of VEGF-C,-VEGF-D and VEGFR-3 with clinicopathologic parameters and patient survival in NSCLC. Methods: Using immunohistochemial staining, we analyzed the protein expressions of VEGF-C, VEGFD and VEGFR-3 on the tissue array specimens from 180 patients with completely resected NSCLC. A 0 to +1 immunohistochemical staining (IHCS) of the cancer cell was defined as negative, +2 to +3 IHCS was as positive. Results: The expressions of VEGF-C, VEGF-D and VEGFR-3 were observed in 28.9%, 32.8% and 30.6% of cases, respectively. In the Cox regression-based multivariate analysis, it was proved that VEGF-C and D proved to be an independent prognostic factors as well as known prognostic factors, such as tumor size and lymph node metastases (VEGF-C, p=0.001; VEGF-D, p=0.014). VEGF-C expression showed statistically significant correlation with the expression of VEGFR-3 (p=0.02). Conclusion: To be taken, the present study revealed that VEGF-C and D expression may predict poor prognosis in resected NSCLC patients. Therefore, these results seems to be worth developing promising targeting inhibitors on lymphangiogenesis which plays major role in locoregional recurrence for surgically NSCLC patinets. No significant financial relationships to disclose.

scholarly journals P8-3 Prognostic factors for nivolumab monotherapy in postoperative recurrence of non-small cell lung cancer

2021 ◽  
Vol 32 ◽  
pp. S334
Author(s):  
Takashi Inoue ◽  
Hiromi Ishihama ◽  
Taimei Tachibana ◽  
Nobuhiro Imamura ◽  
Yuuto Nonaka ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Postoperative Recurrence ◽  
Small Cell ◽  
Small Cell Lung
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