Abstract 1580
Background
Brain metastases (BMs) account for a relatively large proportion of patients with metastatic non-small cell lung cancer (NSCLC) both at the time of diagnosis and during the course of disease, which is a major cause leading to a significant increase in cancer-related mortality for NSCLC patients. We aimed to build a novel risk classification system to predict overall survival (OS) of patients presenting with BMs at the first diagnosis of NSCLC.
Methods
Data on NSCLC patients with BMs was extracted from the SEER database between 2010 and 2013. All cases were randomly divided into the training cohort and validation cohort (7:3). Cox regression was performed to select the independent predictors of OS. A nomogram was established for predicting 6-, 12- and 18-month OS. The prognostic performance of nomogram was evaluated using concordance indexes (C-indexes), calibration curves, and decision curve analyses (DCAs). All statistical analysis was performed with R software.
Results
According to the multivariate Cox regression of the training set, the following variables were contained in the nomogram prognostic model: age, marital status, sex, race, primary site, histological type, T stage, N stage, metastatic pattern, whether received radiotherapy and chemotherapy. The nomogram displayed good accuracy in predicting 6, 12 and 18 months OS. The C-indexes of training set and validation set were 0.729 and 0.723, respectively. The calibration curves showed excellent consistency between the actual results and the nomogram prediction, and the DCAs exhibited great clinical utility of the model. A new risk classification system based on nomogram scores was introduced to classify NSCLC patients with BMs into three subgroups. In the training cohort, the median OS of patients in the low-, intermediate- and high-risk groups was 11.0 months (95% confidence interval [CI] 10.3–11.7), 5.0 months (95% CI 4.6–5.4), and 2.0 months (95% CI 1.9–2.1), respectively.
Conclusions
We established a risk stratification system based on nomogram scores to predict the OS of patients presenting with BMs at initial diagnosis of NSCLC. These predictive models can act as auxiliary tools to guide treatment strategies and prognostic evaluation.
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
3345 - Escalation plans and DNACPR discussions in the unwell oncology patient
Presenter: Raghad Elghadi
Session: Poster Display session 1
Resources:
Abstract
4165 - The Relation between the Symptom Burden of Hospitalized Patients with Incurable Cancer and the Quality-of-Life of Their Family Caregivers
Presenter: Eman Tawfik
Session: Poster Display session 1
Resources:
Abstract
1784 - Clinical predictors for analgesic response to radiotherapy in patients with painful bone metastases
Presenter: Ragnhild Habberstad
Session: Poster Display session 1
Resources:
Abstract
5323 - 30-Day Mortality in Palliative Radiotherapy
Presenter: Shing Fung Lee
Session: Poster Display session 1
Resources:
Abstract
3942 - The relationship between Naldemedine administration and the maximum dose of oral opioids
Presenter: Shinya Kajiura
Session: Poster Display session 1
Resources:
Abstract
3698 - Exposure to low energy amplitude modulated radiofrequency electromagnetic fields (EMF) is associated with rapid improvement in quality of life (QoL) status in patients with advanced hepatocellular carcinoma (HCC), using various analyses of EORTC-C30.
Presenter: Elizabeth Santana
Session: Poster Display session 1
Resources:
Abstract
3885 - Olanzapine Combined with 5-HT3 RA Plus Dexamethasone for Prevention and Treatment of Chemotherapy-Induced Nausea and Vomiting in High and Moderate Emetogenic Chemotherapy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Presenter: Jian-Guo Zhou
Session: Poster Display session 1
Resources:
Abstract
5700 - Early Palliative care in advanced cancer, is it really effective?
Presenter: Raquel Gómez Bravo
Session: Poster Display session 1
Resources:
Abstract
5924 - Deprescribing Potentially Inappropriate Medication in Cancer Patients
Presenter: Simon Reuter
Session: Poster Display session 1
Resources:
Abstract
5314 - Spirituality and religious coping for Cancer patients and providers: An ‘Almighty’ belief for palliative care
Presenter: Vibhay Pareek
Session: Poster Display session 1
Resources:
Abstract