Abstract 1446
Background
Lung cancer accounts for one-quarter of all cancer deaths around the world. The identification of novel biomarkers from blood to differentiate tumors from normal tissue and to predict tumor behavior and patients’ survival is of great importance in clinical practice. We aimed to establish a nomogram with patients’ characteristics and all available hematological biomarkers for lung cancer patients.
Methods
All indexes were cataloged according to clinical significance. Principle component analysis (PCA) was used to reduce the dimensions. Each component was transformed into categorical variables based on recognized cut-off values from receiver operating characteristic (ROC) curve. Kaplan-Meier analysis with log-rank test was used to evaluate the prognostic value of each component. Multivariate analysis was used to determine the promising prognostic biomarkers. Five components were entered into a predictive nomogram. The model was subjected to bootstrap internal validation and to external validation with a separate cohort from Shandong Cancer Hospital. The predictive accuracy and discriminative ability were measured by concordance index (C index) and risk group stratification.
Results
Two hundred and fourty-eight patients were retrospectively analyzed in this study, with 134 in the Discovery Group and 114 in the Validation Group. Forty-seven indexes were sorted into 8 subgroups, and 20 principle components were extracted for further survival analysis. Via cox regression analysis, five components were significant and entered into predictive nomograms. The calibration curves for probability of 3-, and 5-year overall survival (OS) showed optimal agreement between nomogram prediction and actual observation. The new scoring system according to nomogram allowed significant distinction between survival curves within respective tumor-node-metastasis (TNM) subgroups.
Conclusions
A nomogram based on the clinical indexes was established for survival prediction of lung cancer patients, which can be used for treatment therapy selection and clinical care option. PCA makes big data analysis feasible.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
920 - Efficacy of intravenous (IV) NEPA, a fixed NK1/5-HT3 receptor antagonist (RA) combination, for prevention of CINV following cisplatin- and anthracycline cyclophosphamide (AC)-based chemotherapy (CT)
Presenter: Lee Schwartzberg
Session: Poster Display session 1
Resources:
Abstract
5146 - Efficacy of olanzapine combination in prevention of nausea & vomiting in highly emetogenic chemotherapy
Presenter: Smitha Saldanha
Session: Poster Display session 1
Resources:
Abstract
1947 - Patient-reported outcome data during real-world use of NEPA for prevention of chemotherapy-induced nausea and vomiting in high-risk platin-receiving patients - A prospective multicenter trial
Presenter: Meinolf Karthaus
Session: Poster Display session 1
Resources:
Abstract
6163 - A study evaluating steroid induced metabolic syndrome after antiemetic dexamethasone therapy in patients received high emetic risk chemotherapy
Presenter: Hee Jun Kim
Session: Poster Display session 1
Resources:
Abstract
2154 - High incidence of nausea during initial and repeated courses if intravenous chemotherapy in patients receiving guideline consistent antiemetic prophylaxis - a prospective, observational, real world study.
Presenter: Teresa Smit
Session: Poster Display session 1
Resources:
Abstract
1637 - "Randomised controlled trial of Scalp Cooling (SC) for the prevention of Chemotherapy Induced Alopecia (CIA)”
Presenter: Jyoti Bajpai
Session: Poster Display session 1
Resources:
Abstract
5351 - Performance of the ‘4S rule’ to predict short-term outcomes in cancer outpatients with unsuspected pulmonary embolism.
Presenter: David Pesántez Coronel
Session: Poster Display session 1
Resources:
Abstract
1189 - Prevalence of venous thromboembolism based on intensive screening for patients with advanced solid tumor in prospective observational study
Presenter: Shota Omori
Session: Poster Display session 1
Resources:
Abstract
4340 - Short-term outcomes of cancer patients with pulmonary embolism according to the setting (hospital-acquired vs. outpatient) at diagnosis.
Presenter: Diego Muñoz Guglielmetti
Session: Poster Display session 1
Resources:
Abstract
4658 - Patient-reported outcomes associated with switching to rivaroxaban for the treatment of venous thromboembolism (VTE) in patients with active cancer
Presenter: Alexander Cohen
Session: Poster Display session 1
Resources:
Abstract