18F-FDG PET/CT Metabolic Parameters and Circulating Tumour DNA Mutation Abundance in Diffuse Large B-Cell Lymphoma: Correlation and Survival Analysis / 中国实验血液学杂志

OBJECTIVE@#To investigate the correlation between 18Fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) metabolic parameters and peripheral blood circulating tumour DNA (ctDNA) in patients with diffuse large B-cell lymphoma (DLBCL), and the prognostic value of these two types of parameters in predicting progression-free survival (PFS).@*METHODS@#Clinical, PET/CT and ctDNA data of DLBCL patients who underwent peripheral blood ctDNA testing and corresponding PET/CT scans during the same period were retrospectively analyzed. At the time of ctDNA sampling and PET scan, patients were divided into baseline and relapsed/refractory (R/R) groups according to different disease conditions. CtDNA mutation abundance was expressed as variant allele frequency (VAF), including maximum VAF (maxVAF) and mean VAF (meanVAF). Total metabolic tumour volume (TMTV) and total lesion glycolysis (TLG) were obtained by the 41% maximum normalized uptake value method, and the distance between the two farthest lesions (Dmax) was used to assess the correlation between PET parameters and ctDNA mutation abundance using Spearman correlation analysis. The receiver operating characteristic (ROC) curves were used to obtain the optical cut-off values of those parameters in predicting PFS in the baseline and R/R groups, respectively. Survival curves were outlined using the Kaplan-Meier method and log-rank test was performed to compare survival differences.@*RESULTS@#A total of 67 DLBCL patients ［28 males and 39 females, median age 56.0(46.0, 67.0) years］ were included and divided into baseline group (29 cases) and R/R group (38 cases). Among these PET parameters, baseline TMTV, TLG, and Dmax were significantly correlated with baseline ctDNA mutation abundance, except for maximum standardized uptake value (SUVmax) (maxVAF vs TMTV: r=0.711; maxVAF vs TLG: r=0.709; maxVAF vs Dmax: r=0.672; meanVAF vs TMTV: r=0.682; meanVAF vs TLG: r=0.677; meanVAF vs Dmax: r=0.646). While in all patients, these correlations became weaker significantly. Among R/R patients, only TMTV had a weak correlation with meanVAF (r=0.376). ROC analysis showed that, the specificity of TMTV, TLG and Dmax in predicting PFS was better than mutation abundance, while the sensitivity of ctDNA mutation abundance was better. Except R/R patients, TMTV, TLG, Dmax, and VAF were significantly different at normal/elevated lactate dehydrogenase in baseline group and all patients (all P<0.05). Survival curves indicated that high TMTV (>109.5 cm3), high TLG (>2 141.3), high Dmax (>33.1 cm) and high VAF (maxVAF>7.74%, meanVAF>4.39%) were risk factors for poor PFS in baseline patients, while only high VAF in R/R patients (both maxVAF and meanVAF >0.61%) was a risk factor for PFS.@*CONCLUSION@#PET-derived parameters correlate well with ctDNA mutation abundance, especially in baseline patients. VAF of ctDNA predicts PFS more sensitively than PET metabolic parameters, while PET metabolic tumour burden with better specificity. TMTV, TLG and VAF all have good prognostic value for PFS. PET/CT combined with ctDNA has potential for further studies in prognostic assessment and personalized treatment.

Plasma relative abundance of epidermal growth factor receptor mutations predicts clinical response to epidermal growth factor receptor-tyrosine kinase inhibitors in patients with advanced lung adenocarcinoma / 中华内科杂志

Objective To determine whether relative abundance of epidermal growth factor receptor (EGFR) mutations in plasma predicts clinical response to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) in patients with advanced lung adenocarcinoma. Methods In this prospective study, adult patients with advanced lung adenocarcinoma were enrolled in our hospital from 1 April 2016 to 1 January 2017. EGFR mutations in tumor tissues were detected by ADx-amplification refractory mutation system (ADx-ARMS). EGFR mutations of plasma free tumor DNA were detected by ADx-ARMS and ADx-super amplification refractory mutation system (ADx-SuperARMS) at the same time. Patients with EGFR-mutant in tumor tissues and receiving EGFR-TKIs were finally enrolled. Plasma mutation-positive patients with both methods were high abundance group.Patients with positive mutations by ADx-SuperARMS but negative by ADx-ARMS were medium abundance group. Mutation-negative patients with both methods were recognized as low abundance group. The correlation between EGFR mutation abundance and clinical response to EGFR-TKIs were analyzed. Results Among 71 patients enrolled, 42 harbored EGFR mutations in plasma were detected by ADx-ARMS, while 53 were found by ADx-SuperARMS.There were 42 patients in high abundance group, 11 in medium group while the other 18 in low group. The objective response rates (ORRs) were 69.0%,7/11 and 10/18 in high, medium and low groups, respectively. The difference was significant between high and low abundances groups (P=0.006). Median progression-free survival (PFS) in high,medium and low groups were 11.0, 8.5 and 9.0 monthes, respectively (P<0.001). In patients with tumor 19-Del, the ORRs were 70.4%,5/7 and 6/11 in high,medium and low abundance groups, respectively. The median PFS of high abundance group was significantly longer than the other two groups (12.0 monthes vs 9.0, 9.0 monthes). As to subjects with L858R mutation, the ORRs were 10/15,2/4 and 3/6,respectively, with median PFS 9.6, 5.5 and 9.5 monthes. Conclusions The relative abundance of EGFR mutations in plasma predicts clinical response to EGFR-TKIs in patients with advanced lung adenocarcinoma. The higher the mutation abundance is, the better the efficacy of EGFR-TKIs is.