Development and validation of nomograms for predicting overall and cancer-specific survival in young patients with non-small cell lung cancer

Impact of socioeconomic status on cancer staging, survival in non-small cell lung cancer

Purpose

We performed this study to evaluate the association of socioeconomic status (SES) factors with cancer-specific survival (CSS) of patients with non-small cell lung cancer (NSCLC). We further assessed the predictive value of a novel Tumor Node Metastasis (TNM)-SES staging system, combining the TNM stage with the SES stage.

Methods

Using the Surveillance, Epidemiology, and End Results (SEER) database, we selected 40,378 patients diagnosed with NSCLC from 2012 to 2016. Cox regression method and Harrell's concordance index (C-index) were performed to select the SES factors related to CSS and evaluate the predictive ability of the novel TNM-SES stage. We used Kaplan-Meier curves and a log-rank test to conduct a survival analysis.

Results

We identified four SES factors (marriage, insurance, education, and household income) associated with CSS and constructed the SES stage (SES-1 and SES-2). NSCLC patients with SES-2 stage (low SES) was associated with young adult, black race, male, squamous carcinoma, upper lobe site, and advanced stage. SES-2 stage patients were significantly associated with a dismal prognosis of patients with NSCLC, with a 21.0% increased risk (HR = 1.21, 95%CI (1.18-1.24), p < 0.001). The C-index of our novel TNM-SES stage was 0.732 [95% CI (0.728-0.736)], higher than the traditional TNM stage [0.717, 95% CI (0.715-0.719)], indicating superior predictive value.

Conclusion

Our population-based study indicated that SES was significantly associated with cancer staging and SCC in patients with NSCLC. Our novel TNM-SES staging system showed a superior predictive value to the traditional TNM stage. The impact of SES on patients with NSCLC should receive more concern in clinical management.

A nomogram for predicting overall survival rate in patients with brain metastatic non-small cell lung cancer

The purpose was to develop a nomogram for the prediction of the 1- and 2-year overall survival (OS) rates in patients with brain metastatic non-small cell lung cancer (BMNSCLC). Patients were collected from the Surveillance Epidemiology and End Results program (SEER) and classified into the training and validation groups. Several independent prognostic factors identified by statistical methods were incorporated to establish a predictive nomogram. The concordance index (C-index), the area under the receiver operating characteristics curve (AUC), and calibration curve were applied to estimate predictive ability of the nomogram. To compare the clinical practicability of the nomogram and TNM staging system by decision curve analysis (DCA). A total of 24,164 eligible patients were collected and assigned into the training (n = 16,916) and validation groups (n = 7248). Based on the prognostic factors, we developed a nomogram with good discriminative ability. The C-indices for training and validation group were 0.727 and 0.728. The AUCs of 1- and 2-year OS rates were both 0.8, and the calibration curves also demonstrated good performance of the nomogram. DCA illustrated that the nomogram provided clinical net benefit compared with the TNM staging system. We developed a predictive nomogram for more accurate and comprehensive prediction of OS in BMNSCLC patients, which can be a useful and convenient tool for clinicians to make proper clinical decisions, and adjust follow-up management strategies.

Genomic profiling in non-small-cell lung cancer in young patients. A systematic review

Lung cancer in young patients is an uncommon and understudied entity that harbors distinctive epidemiological, clinic-demographic, and genomic features. We carried out a systematic review of genomic profiling in young patients with lung cancer from 2010 to 2020 in the main electronic databases and selected 23 manuscripts. Lung cancer in young patients occurs more frequently in women with adenocarcinoma histology and at more advanced stages. Some studies report higher oncogenic genomic alteration in this population, with higher anaplastic lymphoma kinase rearrangements, a distinct profile of epidermal growth factor receptor mutations, and other novel genomic alterations. Although still uncommon, the implementation of next-generation sequencing (NGS) has shed some light on germline genomic alterations associated with lung cancer in young patients. Although outcomes when compared with the older population are conflicting, the overall prognosis is still poor in this subset of patients and efforts to find targetable genomic alterations should be made to improve survival.