TY - JOUR
T1 - Prognostic models to predict survival in non-small-cell lung cancer patients treated with first-line paclitaxel and carboplatin with or without bevacizumab
AU - Hoang, Tien
AU - Dahlberg, Suzanne E.
AU - Sandler, Alan B.
AU - Brahmer, Julie R.
AU - Schiller, Joan H.
AU - Johnson, David H.
N1 - Funding Information:
Supported, in part, by Public Health Service grants CA23318, CA66636, CA21115, CA21076, CA49957, and CA16116 and from the National Cancer Institute, the National Institutes of Health, and the Department of Health and Human Services .
PY - 2012/9
Y1 - 2012/9
N2 - BACKGROUND:: To determine prognostic factors and build a model to predict 1-year overall survival (OS) and 6-month progression-free survival (PFS) in advanced non-small-cell lung cancer (NSCLC) patients treated with first-line paclitaxel and carboplatin with or without bevacizumab. MATERIALS AND METHODS:: We analyzed 26 pretreatment clinical variables in 850 NSCLC patients treated in the randomized Eastern Cooperative Oncology Group 4599 study. Univariate and multivariate analyses were performed to identify prognostic factors. Cox regression with 50% randomly sampled data was used to build nomograms with a prognostic score assigned to each factor. The model was validated with the remaining 50% of data. RESULTS:: Eleven poor factors for OS (hazard ratio) were as follows: skin metastasis (4.49), body mass index less than 18.5 (2.09), increased serum lactate dehydrogenase (1.74), adrenal metastasis (1.52), performance status greater than 0 (1.45), low serum albumin (1.45), men (1.39), bone metastasis (1.39), large cell/not otherwise specified histology (1.29), mediastinal nodal metastasis (1.23), and treatment without bevacizumab (1.18). Seven poor factors for PFS were as follows: skin metastasis (3.13), treatment without bevacizumab (1.52), bone metastasis (1.41), liver metastasis (1.40), low serum albumin (1.39), performance status greater than 0 (1.21), and mediastinal nodal metastasis (1.14). Based on these factors, we built and validated two nomograms predicting 1-year OS and 6-month PFS. CONCLUSION:: Using our proposed models, the probability of survival with first-line paclitaxel and carboplatin with or without bevacizumab in nonsquamous NSCLC patients can be estimated. These prognostic models provide a tool for research design and clinical decision making, such as patient stratification and therapy selection.
AB - BACKGROUND:: To determine prognostic factors and build a model to predict 1-year overall survival (OS) and 6-month progression-free survival (PFS) in advanced non-small-cell lung cancer (NSCLC) patients treated with first-line paclitaxel and carboplatin with or without bevacizumab. MATERIALS AND METHODS:: We analyzed 26 pretreatment clinical variables in 850 NSCLC patients treated in the randomized Eastern Cooperative Oncology Group 4599 study. Univariate and multivariate analyses were performed to identify prognostic factors. Cox regression with 50% randomly sampled data was used to build nomograms with a prognostic score assigned to each factor. The model was validated with the remaining 50% of data. RESULTS:: Eleven poor factors for OS (hazard ratio) were as follows: skin metastasis (4.49), body mass index less than 18.5 (2.09), increased serum lactate dehydrogenase (1.74), adrenal metastasis (1.52), performance status greater than 0 (1.45), low serum albumin (1.45), men (1.39), bone metastasis (1.39), large cell/not otherwise specified histology (1.29), mediastinal nodal metastasis (1.23), and treatment without bevacizumab (1.18). Seven poor factors for PFS were as follows: skin metastasis (3.13), treatment without bevacizumab (1.52), bone metastasis (1.41), liver metastasis (1.40), low serum albumin (1.39), performance status greater than 0 (1.21), and mediastinal nodal metastasis (1.14). Based on these factors, we built and validated two nomograms predicting 1-year OS and 6-month PFS. CONCLUSION:: Using our proposed models, the probability of survival with first-line paclitaxel and carboplatin with or without bevacizumab in nonsquamous NSCLC patients can be estimated. These prognostic models provide a tool for research design and clinical decision making, such as patient stratification and therapy selection.
KW - Bevacizumab
KW - Chemotherapy
KW - Nomograms
KW - Non-small-cell lung cancer
KW - Prognostic models
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U2 - 10.1097/JTO.0b013e318260e106
DO - 10.1097/JTO.0b013e318260e106
M3 - Article
C2 - 22843087
AN - SCOPUS:84865692649
SN - 1556-0864
VL - 7
SP - 1361
EP - 1368
JO - Journal of Thoracic Oncology
JF - Journal of Thoracic Oncology
IS - 9
ER -