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CEA and CYFRA 21-1 as prognostic biomarker and as a tool for treatment monitoring in advanced NSCLC treated with immune checkpoint inhibitors.

ABSTRACT: Aims:To assess prognostic value of pre-therapy carcinoembryonic antigen (CEA) and cytokeratin-19 fragments (CYFRA 21-1) blood levels in non-small cell lung cancer (NSCLC) patients treated with immune-checkpoint inhibitors (ICIs) and their early change as predictor of benefit. Materials and methods:This is a retrospective cohort study including patients with stage IIIB-IV NSCLC who received anti PD-1/PD-L1 in first or advanced lines of therapy in two institutions. A control cohort of patients treated only with chemotherapy has been enrolled as well. Results:A total of 133 patients treated with nivolumab or atezolizumab were included in the test set, 74 treated with pembrolizumab first line in the validation set and 89 in the chemotherapy only cohort. CYFRA 21-1?>8?ng/mL was correlated with overall survival (OS) in the test set, validation set and in univariate and multivariate analysis (pooled cohort hazard ratio (HR) 1.90, 95% confidence interval (CI) 1.24-2.93, p 0.003). Early 20% reduction after the third cycle was correlated with OS for CEA (HR 0.12; 95% CI 0.04-0.33; p?

SUBMITTER: Dall'Olio FG

PROVIDER: S-EPMC7607728 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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CEA and CYFRA 21-1 as prognostic biomarker and as a tool for treatment monitoring in advanced NSCLC treated with immune checkpoint inhibitors.

Dall'Olio Filippo G FG Abbati Francesca F Facchinetti Francesco F Massucci Maria M Melotti Barbara B Squadrilli Anna A Buti Sebastiano S Formica Francesca F Tiseo Marcello M Ardizzoni Andrea A

Therapeutic advances in medical oncology 20201031

<h4>Aims</h4>To assess prognostic value of pre-therapy carcinoembryonic antigen (CEA) and cytokeratin-19 fragments (CYFRA 21-1) blood levels in non-small cell lung cancer (NSCLC) patients treated with immune-checkpoint inhibitors (ICIs) and their early change as predictor of benefit.<h4>Materials and methods</h4>This is a retrospective cohort study including patients with stage IIIB-IV NSCLC who received anti PD-1/PD-L1 in first or advanced lines of therapy in two institutions. A control cohort ...[more]

PMID: 33193825

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Project description:Serum cytokeratin 19 fragment (CYFRA21-1) has been found to be a useful prognostic marker in lung cancer. Previous studies have revealed that change in CYFRA21-1 synchronously predicted therapeutic effectiveness in advanced nonsmall cell lung cancer (NSCLC) after the second cycle of chemotherapy. The objective of this study was to investigate the early predictive value of percentage change in serum CYFRA21-1 from pretreatment to completion of the first cycle of chemotherapy for chemotherapeutic effectiveness in advanced NSCLC patients.Ninety-seven advanced NSCLC patients with elevated serum CYFRA21-1 level (?3.8??g/L), who received 2 platinum-containing drugs, were included in this retrospective study. Serum CYFRA21-1 had been assayed before and after the first cycle of chemotherapy. To evaluate the effectiveness of chemotherapy, patients were allocated to disease control (DC) and progressive disease groups. The percentage changes of serum CYFRA21-1 concentration before and after first-cycle chemotherapy that occurred in each group were evaluated for their ability to predict achievement of radiologic DC, that is, to predict therapeutic effectiveness.The percentage change of serum CYFRA21-1 and the prevalence of ?5% weight loss were higher in patients with progressive disease than in those with DC. The differences in other clinical and pathological variables including age, sex, Eastern Cooperative Oncology Group (ECOG) performance status, cigarette smoking, histological type, gross type, clinical stage, and chemotherapy regimens of the 2 groups were not significant. Both multiple generalized linear model analysis and linear trend tests indicated that the percentage change of serum CYFRA21-1 concentration was independently and negatively linked to the effectiveness of chemotherapy for NSCLC (P?<?0.01). The area under the receiver-operating characteristic curve of the percentage change in prediction of DC was 0.84 and the optimal cut-off value was17.5% (P?<?0.001).The percentage change of serum CYFRA21-1 after completing the first cycle of chemotherapy was predictive of treatment effects and might be helpful in making early decisions to change chemotherapy regimens in patients with advanced NSCLC.

Project description:BackgroundSeveral immune checkpoint inhibitors (ICIs) are approved for the treatment of advanced urothelial carcinoma (UC). There are limited biomarkers for ICI-treated patients with UC. We investigated the association between body composition and clinical outcomes in ICI-treated UC patients.Materials and methodsWe conducted a retrospective analysis of 70 ICI-treated patients with advanced UC at Winship Cancer Institute from 2015 to 2020. Baseline computed tomography images within 2 months of ICI initiation were collected at mid-L3 and muscle and fat compartments (subcutaneous, intermuscular, and visceral) were segmented using SliceOMatic v5.0 (TomoVision, Magog, Canada). A prognostic body composition risk score (high: 0-1, intermediate: 2-3, or low-risk: 4) was created based on the β coefficient from the multivariate Cox model (MVA) following best-subset variable selection. Our body composition risk score was skeletal muscle index (SMI) + 2 × attenuated skeletal muscle (SM) mean + visceral fat index (VFI). Concordance statistics (C-statistics) were used to quantify the discriminatory magnitude of the predictive model.ResultsMost patients (70%) were men and the majority received ICIs in the second- (46%) or third-line (21%) setting. High-risk patients had significantly shorter overall survival (OS; hazard ratio [HR], 6.72; p < .001), progression-free survival (HR, 5.82; p < .001), and lower chance of clinical benefit (odds ratio [OR], 0.02; p = .003) compared with the low-risk group in MVA. The C-statistics for our body composition risk group and myosteatosis analyses were higher than body mass index for all clinical outcomes.ConclusionBody composition variables such as SMI, SM mean, and VFI may be prognostic and predictive of clinical outcomes in ICI-treated patients with UC. Larger, prospective studies are warranted to validate this hypothesis-generating data.Implications for practiceThis study developed a prognostic body composition risk scoring system using radiographic biomarkers for patients with bladder cancer treated with immunotherapy. The study found that the high-risk patients had significantly worse clinical outcomes. Notably, the study's model was better at predicting outcomes than body mass index. Importantly, these results suggest that radiographic measures of body composition should be considered for inclusion in updated prognostic models for patients with urothelial carcinoma treated with immunotherapy. These findings are useful for practicing oncologists in the academic or community setting, particularly given that baseline imaging is routine for patients starting on treatment with immunotherapy.

Project description:Circulating tumor cells (CTC) count and characterization have been associated with poor prognosis in recent studies. Our aim was to examine CTC count and its association with metabolic parameters and clinical outcomes in non-small cell lung carcinoma (NSCLC) patients treated with immune checkpoint inhibitors (ICI). For this prospective study, data from 35 patients (23 males, 12 females) were collected and analyzed. All patients underwent an 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) scan and CTC detection through Isolation by Size of Tumor/Trophoblastic Cells (ISET) from peripheral blood samples obtained at baseline and 8 weeks after ICI initiation. Association of CTC count with clinical and metabolic characteristics was studied. Progression-free survival (PFS) and overall survival (OS) were analyzed using the Kaplan-Meier method and the log-rank test. Median follow-up was 13.2 months (range of 4.9-21.6). CTC were identified in 16 out of 35 patients (45.7%) at baseline and 10 out of 24 patients at 8 weeks (41.7%). Mean CTC numbers before and after 8 weeks were 15 ± 28 and 11 ± 19, respectively. Prior to ICI, the mean CTC number was significantly higher in treatment-naïve patients (34 ± 39 vs. 9 ± 21, p = 0.004). CTC count variation (ΔCTC) was significantly associated with tumor metabolic response set by European Organization for Research and Treatment of Cancer (EORTC) criteria (p = 0.033). At the first restaging, patients with a high tumor burden, that is, metabolic tumor volume (MTV) and total lesion glycolysis (TLG), had a higher CTC count (p = 0.009). The combination of mean CTC and median MTV at 8 weeks was associated with PFS (p < 0.001) and OS (p = 0.024). Multivariate analysis identified CTC count at 8 weeks as an independent predictor for PFS and OS, whereas ΔMTV and maximum standardized uptake value variation (ΔSUVmax) was predictive for PFS and OS, respectively. Our study confirmed that CTC number is modulated by previous treatments and correlates with metabolic response during ICI. Moreover, elevated CTC count, along with metabolic parameters, were found to be prognostic factors for PFS and OS.

Dataset Information

CEA and CYFRA 21-1 as prognostic biomarker and as a tool for treatment monitoring in advanced NSCLC treated with immune checkpoint inhibitors.

Publications

CEA and CYFRA 21-1 as prognostic biomarker and as a tool for treatment monitoring in advanced NSCLC treated with immune checkpoint inhibitors.

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