The Prognostic Values of a Novel Preoperative Inflammation-Based Score in Japanese Patients With Non-Small Cell Lung Cancer

Prognostic Factors and Construction of Nomogram Prediction Model of Lung Cancer Patients Using Clinical and Blood Laboratory Parameters

Objective

This work aimed to explore the prognostic risk factors of lung cancer (LC) patients and establish a line chart prediction model.

Methods

A total of 322 LC patients were taken as the study subjects. They were randomly divided into a training set (n = 202) and a validation set (n = 120). Basic information and laboratory indicators were collected, and the progression-free survival (PFS) and overall survival (OS) were followed up. Single-factor and cyclooxygenase (COX) multivariate analyses were performed on the training set to construct a Nomogram prediction model, which was validated with 120 patients in the validation set, and Harrell's consistency was analyzed.

Results

Single-factor analysis revealed significant differences in PFS (P<0.05) between genders, body mass index (BMI), carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), squamous cell carcinoma antigen (SCCA), treatment methods, treatment response evaluation, smoking status, presence of pericardial effusion, and programmed death ligand 1 (PD-L1) at 0 and 1-50%. Significant differences in OS (P<0.05) were observed for age, tumor location, treatment methods, White blood cells (WBC), uric acid (UA), CA125, pro-gastrin-releasing peptide (ProGRP), SCCA, cytokeratin fragment 21 (CYFRA21), and smoking status. COX analysis identified male gender, progressive disease (PD) as treatment response, and SCCA > 1.6 as risk factors for LC PFS. The consistency indices of the line chart models for predicting PFS and OS were 0.782 and 0.772, respectively.

Conclusion

Male gender, treatment response of PD, and SCCA > 1.6 are independent risk factors affecting the survival of LC patients. The PFS line chart model demonstrates good concordance.

The C-reactive protein to albumin ratio is a prognostic factor for stage I non-small cell lung cancer in elderly patients: JACS1303

PURPOSE

To establish the prognostic significance of C-reactive protein (CRP) and albumin in octogenarians with non-small cell lung cancer (NSCLC) based on the study of the Japanese Association for Chest Surgery (JACS 1303).

METHODS

A total of 618 octogenarians with pathological stage I NSCLC, who underwent pulmonary resection, were included in the analysis. We conducted multivariable Cox regression analysis to evaluate the CRP to albumin ratio (CAR) as a potential prognostic factor. Other clinicopathological factors were also evaluated.

RESULTS

The median age was 82 years. Operations included lobectomy (n = 388; 62.8%) segmentectomy (n = 95; 15%), and wedge resection (n = 135; 22%). Pathological stage IA was diagnosed in 380 (61.5%) patients. The 3-year (OS) and cancer-specific survival (CS) rates were 86.7% and 94.6%, respectively. OS was significantly higher for patients with low CAR (< 0.106) than for those with high CAR (≥ 0.106) (hazard ratio = 3.13, 95% confidence interval: 1.99-4.93, p < 0.0001). Univariate analysis identified sex, poor performance status, smoking status, comorbidity, solid tumor, histology, high Glasgow prognostic scale, and high CAR as significant prognostic factors. Multivariate analysis identified only the CAR as a significant prognostic factor for both OS and CS.

CONCLUSIONS

Our analysis of the nationwide data demonstrated that the CAR is a useful prognostic factor for elderly patients with stage I NSCLC.

Alternative Multidisciplinary Management Options for Locally Advanced NSCLC During the Coronavirus Disease 2019 Global Pandemic

The coronavirus disease 2019 (COVID-19) pandemic is currently accelerating. Patients with locally advanced NSCLC (LA-NSCLC) may require treatment in locations where resources are limited, and the prevalence of infection is high. Patients with LA-NSCLC frequently present with comorbidities that increase the risk of severe morbidity and mortality from COVID-19. These risks may be further increased by treatments for LA-NSCLC. Although guiding data is scarce, we present an expert thoracic oncology multidisciplinary (radiation oncology, medical oncology, surgical oncology) consensus of alternative strategies for the treatment of LA-NSCLC during a pandemic. The overarching goals of these approaches are the following: (1) reduce the number of visits to a health care facility, (2) reduce the risk of exposure to severe acute respiratory syndrome-coronavirus-2, (3) attenuate the immunocompromising effects of lung cancer therapies, and (4) provide effective oncologic therapy. Patients with resectable disease can be treated with definitive nonoperative management if surgical resources are limited or the risks of perioperative care are high. Nonoperative options include chemotherapy, chemoimmunotherapy, and radiation therapy with sequential schedules that may or may not affect long-term outcomes in an era in which immunotherapy is available. The order of treatments may be on the basis of patient factors and clinical resources. Whenever radiation therapy is delivered without concurrent chemotherapy, hypofractionated schedules are appropriate. For patients who are confirmed to have COVID-19, usually, cancer therapies may be withheld until symptoms have resolved with negative viral test results. The risk of severe treatment-related morbidity and mortality is increased for patients undergoing treatment for LA-NSCLC during the COVID-19 pandemic. Adapting alternative treatment strategies as quickly as possible may save lives and should be implemented through communication with the multidisciplinary cancer team.