Gefitinib (an EGFR tyrosine kinase inhibitor) plus anlotinib (an multikinase inhibitor) for untreated, EGFR-mutated, advanced non-small cell lung cancer (FL-ALTER): a multicenter phase III trial.

Dual inhibition of vascular endothelial growth factor and epidermal growth factor receptor (EGFR) signaling pathways offers the prospect of improving the effectiveness of EFGR-targeted therapy. In this phase 3 study (ClinicalTrial.gov: NCT04028778), 315 patients with treatment-naïve, EGFR-mutated, advanced non-small cell lung cancer (NSCLC) were randomized (1:1) to receive anlotinib or placebo plus gefitinib once daily on days 1-14 per a 3-week cycle. At the prespecified final analysis of progression-free survival (PFS), a significant improvement in PFS was observed for the anlotinib arm over the placebo arm (hazards ratio [HR] = 0.64, 95% CI, 0.48-0.80, P = 0.003). Particularly, patients with brain metastasis and those harboring EGFR amplification or high tumor mutation load gained significant more benefits in PFS from gefitinib plus anlotinib. The incidence of grade 3 or higher treatment-emergent adverse events was 49.7% of the patients receiving gefitinib plus anlotinib versus 31.0% of the patients receiving gefitinib plus placebo. Anlotinib plus gefitinib significantly improves PFS in patients with treatment-naïve, EGFR-mutated, advanced NSCLC, with a manageable safety profile.

Establishing M1 stage subdivisions by incorporating radiological features and Epstein-Barr virus DNA for metastatic nasopharyngeal carcinoma.

BACKGROUND: Significance of plasma Epstein-Barr virus deoxyribonucleic acid (EBV DNA)-a proven robust indicator for nasopharyngeal carcinoma (NPC)-is not yet clarified in risk stratification of metastatic NPC (mNPC). We aim to establish effective M1 stage subdivisions in mNPC by integrating radiological features and EBV DNA at diagnosis of metastasis (mEBV DNA). METHODS: The study comprised 1,007 mNPC patients, including 817 metachronous mNPC (mmNPC) patients randomized into training (n=613) and internal validation (n=204) cohorts, and 190 synchronous mNPC (smNPC) patients defined as smNPC validation cohort. Primary clinical end-point was overall survival (OS). Covariate inclusion to recursive partitioning analysis (RPA)-generated risk stratification was qualified by a multivariable two-sided P<0.05. Performances of different models were compared using area under ROC curve (AUC), Harrell's concordance index (c-index) and Akaike information criterion (AIC). RESULTS: Compared with other simply image-based models, the ultimate RPA-EBV-stage presented a best performance [c-index =0.68 (training), 0.70 (internal validation), 0.64 (smNPC validation); AUC =0.69 (training), 0.72 (internal validation), 0.70 (smNPC validation)]: M1a (low mEBV DNA + oligo lesion), M1b (low mEBV DNA + multiple lesions), M1c (high mEBV DNA + no liver involvement), and M1d (high mEBV DNA + liver involvement). Corresponding 3-year OS rates were 49.9%, 33.4%, 22.6%, and 6.7%, respectively (P<0.001). In mmNPC patients, compared with chemotherapy alone, addition of local treatment demonstrated superiority in M1a and M1b; systemic therapy combined with targeted therapy conferred benefit on patients of M1c and M1d (P<0.05). CONCLUSIONS: This RPA-EBV-stage provided favorable prognostic value for survival outcomes and could assist clinical and investigative management. Low-risk patients are considered suitable candidate for curative local treatment, and high-risk patients are recommended to undergo intensive systemic treatment.

Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis.

BACKGROUND AND PURPOSE: Lacking quantitative evaluations of competing risk data of nasopharyngeal carcinoma (NPC), we aimed to evaluate the probability of NPC- and other cause-specific mortality (NPC-SM; OCSM) and develop competing risk nomograms to quantify survival differences. MATERIAL AND METHOD: Using the institutional big-data intelligence platform, 7251 NPC patients undergoing intensity-modulated radiotherapy between 2009-2014 were identified to establish nomograms based on Fine and Gray's competing risk analysis. RESULTS: The 5-year NPC-SM and OCSM of the cohort were 13.1% and 1.2%, respectively, and elevated 5-year OCSMs were observed in patients aged ≥65 years (5.5%) or with severe comorbidities (4.3%). Age was most predictive of OCSM: patients aged 55-64 and ≥65 years exhibited subdistribution hazard ratios (SHRs) of 2.70 (95% confidence interval [CI], 1.64-4.4; P < .001) and 5.78 (95% CI, 3.32-10.08; P < .001), respectively. Comorbidity measured using the Charlson Comorbidity Index (CCI) was also strongly predictive of OCSM: patients with CCI scores of 1 and ≥2 exhibited SHRs of 2.33 (95% CI, 1.46-3.71; P < .001) and 2.58 (95% CI, 1.16-5.73; P = .020), respectively. All validated factors were integrated into the competing nomograms: age, sex, histology type, tumor and node stages, plasma Epstein-Barr virus-DNA level, lactate dehydrogenase level, and C-reactive protein (CRP) level into the NPC-SM model (concordance [c]-index = 0.743); and age, CCI, Albumin level, and CRP level into the OCSM model (c-index = 0.793). CONCLUSION: OCSM represents a significant competing event for NPC-SM in elderly patients and patients with comorbidities. We present the first prognostic nomograms to quantify competing risks, which may help to tailor individualized treatment.