Dataset Information

Predictive value of early kinetics of ctDNA combined with cfDNA and serum CEA for EGFR-TKI treatment in advanced non-small cell lung cancer.

ABSTRACT:

Background

Circulating tumor DNA (ctDNA) has made a breakthrough as an early biomarker in operable early-stage cancer patients. However, the function of ctDNA combined with cell-free DNA (cfDNA) as a predictor in advanced non-small cell lung cancer (NSCLC) remains unknown. Here, we explored its potential as a biomarker for predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in patients with advanced NSCLC.

Methods

A retrospective analysis was undertaken. Plasma collected from 51 patients with advanced NSCLC prior to and serially after starting treatment with EGFR-TKIs was analyzed by next-generation sequencing (NGS). The performance of ctDNA, cfDNA, and combining ctDNA with cfDNA were evaluated for their ability to predict survival outcomes.

Results

Patients with early undetectable ctDNA and increasing cfDNA had a markedly better progression-free survival (PFS) (p < 0.001) and overall survival (OS) (p = 0.001) than those with early detectable ctDNA and decreasing cfDNA. Patients with early ctDNA clearance were more likely to have the ctDNA persistent clearance (p = 0.006). The early clearance rate of ctDNA in the normal carcinoembryonic antigen (CEA) group was significantly higher than in the low and high groups (p = 0.028). Patients with greater CEA decline had a higher early clearance rate of ctDNA than those with minor CEA change (p = 0.016).

Conclusions

We based this study on ctDNA and cfDNA, explored its prognostic predictive ability, and combined CEA to monitor EGFR-TKI efficacy. This study may provide new perspectives and insights into the precise treatment strategies for NSCLC patients.

SUBMITTER: Zheng J

PROVIDER: S-EPMC9663669 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

Predictive value of early kinetics of ctDNA combined with cfDNA and serum CEA for EGFR-TKI treatment in advanced non-small cell lung cancer.

Zheng Jie J Wang Yubo Y Hu Chen C Zhu Mengxiao M Ii Jianghua J Lin Caiyu C Lu Conghua C Dou Yuanyao Y Zhao Chenlong C Zhang Yimin Y Wu Di D Li Li L Tang Huan H He Tingting T Pan Chunxiao C Han Rui R He Yong Y

Thoracic cancer 20221004 22

<h4>Background</h4>Circulating tumor DNA (ctDNA) has made a breakthrough as an early biomarker in operable early-stage cancer patients. However, the function of ctDNA combined with cell-free DNA (cfDNA) as a predictor in advanced non-small cell lung cancer (NSCLC) remains unknown. Here, we explored its potential as a biomarker for predicting the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in patients with advanced NSCLC.<h4>Methods</h4>A retrospective anal ...[more]

PMID: 36193794

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Project description:There is a discrepancy in the efficacy of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment for advanced lung adenocarcinoma (LUAD) patients with EGFR sensitizing mutations (mEGFR). Molecular markers other than mEGFR remain to be investigated to better predict EGFR-TKI efficacy. Here, 49 LUAD patients with mEGFR (19 deletions or 21 L858R mutations) who received the first-generation EGFR-TKI icotinib therapy were included and stratified into 25 good-responders with a progression-free survival (PFS) longer than 11 months and 24 poor-responders with a PFS shorter than 11 months. We conducted targeted metabolomic detection and next-generation sequencing on serum and tissue samples, respectively. Subsequently, two metabolomic profiling-based discriminant models were constructed for icotinib efficacy prediction, 10 metabolites overlapped in both models ensured high credibility for distinguishing good- and poor-responders. Seven of the 10 metabolites displayed significant differences between the two groups, which belong to lipids including ceramides (Cers), lysophosphatidylcholines (LPCs), lysophosphatidylethanolamines (LPEs), sphingomyelins (SMs), and free fatty acids (FAs). Briefly, LPC 16:1, LPC 22:5-1, and LPE 18:2 decreased in poor-responders, while Cer 36:1-3, Cer 38:1-3, SM 36:1-2 and SM 42:2 increased in poor-responders. In parallel, we identified 6 co-mutated genes (ARID1A, ARID1B, BCR, FANCD2, PTCH1, and RBM10) which were significantly correlated with a shorter PFS. Additionally, 4 efficacy-related metabolites (Cer 36:1-3, Cer 38:1-3, SM 36:1-2, and LPC 16:1) showed significant differences between the mutant and wild-type of 4 efficacy-related genes (ARID1A, ARID1B, BCR, and RBM10). SM 36:1-2 elevated while LPC 16:1 decreased in ARID1A, BCR, and RBM10 mutant groups compared to the wild-type groups. Cer 36:1-3 increased in the ARID1A and BCR mutant groups, and Cer 38:1-3 only rose in the ARID1A mutant group. Furthermore, we observed a causal-mediator-network-based interrelation between the 4 concurrently mutated genes and the 4 metabolites related metabolic genes in glycerophospholipid metabolism and sphingolipid metabolism pathways. This study demonstrated that lipids metabolism and concurrently mutated genes with mEGFR were associated with the icotinib efficacy, which provides novel perspectives in classifying clinical responses of mEGFR LUAD patients and reveals the potential of non-invasive pretreatment serum metabolites in predicting EGFR-TKI efficacy.

Project description:Previous studies have suggested that a variety of tumor driver genetic alterations affected the treatment efficacy of chemotherapy and epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) in advanced non-small cell lung cancer (NSCLC). The present study aimed to investigate the association between the tumor genetic alteration landscape and the treatment outcome of first-line chemotherapy and EGFR-TKIs in advanced NSCLC. A total of 94 patients with advanced NSCLC were recruited. All patients received first-line chemotherapy and/or EGFR-TKIs (either first- or second-generation EGFR-TKI, or third-generation EGFR-TKI) alone or sequentially. Prior to chemotherapy and/or EGFR-TKI treatment, plasma, effusion and/or tumor tissues from the included patients were subjected to next-generation sequencing, targeting 59 genes. The results indicated that the positive genetic alteration status prior to first-line chemotherapy was associated with prolonged progression-free survival (PFS) time compared with the negative status [9.1 vs. 4.0 months; hazard ratio (HR)=6.68; 95% CI, 2.25-19.82; P=0.001). Furthermore, patients with EGFR activating mutation harboring concomitant alterations exhibited a shorter PFS (11.1 vs. 7.4 months; HR=2.14; 95% CI, 1.03-4.44; P=0.04) and overall survival (OS) time [not reached (NR) vs. 32.8 months; HR=4.30; 95% CI, 1.41-13.16; P=0.01] than those without concomitant alterations, with first- and second-generation EGFR-TKI treatment. Similarly, patients with T79M mutation harboring concomitant alterations exhibited a shorter PFS (15.6 vs. 3.6 months; HR=9.48; 95% CI, 2.29-39.28; P=0.002) and OS time (NR vs. 32.8 months; HR=4.85; 95% CI, 1.16-20.29; P=0.03) with osimertinib treatment. Taken together, the results demonstrated that positive genetic alteration status predicted greater efficacy of first-line chemotherapy, while concomitant genetic alterations were associated with poor treatment outcome for first- or second-generation EGFR-TKI and third-generation EGFR-TKI treatment.

Project description:PurposeWe aimed to evaluate whether the addition of pemetrexed is effective in improving progression-free survival (PFS) in epidermal growth factor receptor (EGFR)-mutated patients with or without concomitant alterations.Materials and methodsThis multicenter clinical trial was conducted in China from June 15, 2018, to May 31, 2019. A total of 92 non-small cell lung cancer (NSCLC) patients harboring EGFR-sensitive mutations were included and divided into concomitant and non-concomitant groups. Patients in each group were randomly treated with EGFR-tyrosine kinase inhibitor (TKI) monotherapy or EGFR-TKI combined with pemetrexed in a ratio of 1:1. PFS was recorded as the primary endpoint.ResultsThe overall median PFS of this cohort was 10.1 months. There were no significant differences in PFS between patients with and without concomitant and between patients received TKI monotherapy and TKI combined with pemetrexed (p=0.210 and p=0.085, respectively). Stratification analysis indicated that patients received TKI monotherapy had a significantly longer PFS in non-concomitant group than that in concomitant group (p=0.002). In concomitant group, patients received TKI combined with pemetrexed had a significantly longer PFS than patients received TKI monotherapy (p=0.013). Molecular dynamic analysis showed rapidly emerging EGFR T790M in patients received TKI monotherapy. EGFR mutation abundance decreased in patients received TKI combined chemotherapy, which supports better efficacy for a TKI combined chemotherapy as compared to TKI monotherapy. A good correlation between therapeutic efficacy and a change in circulating tumor DNA (ctDNA) status was found in 66% of patients, supporting the guiding role of ctDNA minimal residual disease (MRD) in NSCLC treatment.ConclusionEGFR-TKI monotherapy is applicable to EGFR-sensitive patients without concomitant alterations, while a TKI combined chemotherapy is applicable to EGFR-sensitive patients with concomitant alterations. CtDNA MRD may be a potential biomarker for predicting therapeutic efficacy.

Project description:BackgroundDetecting epidermal growth factor receptor (EGFR) activating mutations in plasma could guide EGFR-tyrosine kinase inhibitor (EGFR-TKI) treatment for advanced non-small cell lung cancer (NSCLC). However, dynamic quantitative changes of plasma EGFR mutations during the whole course of EGFR-TKI treatment and its correlation with clinical outcomes were not determined. The aim of this study was to measure changes of plasma EGFR L858R mutation during EGFR-TKI treatment and to determine its correlation with the response and resistance to EGFR-TKI.MethodsThis study was a pre-planned exploratory analysis of a randomized phase III trial conducted from 2009 to 2014 comparing erlotinib with gefitinib in advanced NSCLC harboring EGFR mutations in tumor (CTONG0901). Totally, 256 patients were enrolled in CTONG0901 and randomized to receive erlotinib or gefitinib. One hundred and eight patients harbored L858R mutation in their tumors and 80 patients provided serial blood samples as pre-planned scheduled. Serial plasma L858R was detected using quantitative polymerase chain reaction. Dynamic types of plasma L858R were analyzed using Ward's hierarchical clustering method. Progression-free survival (PFS) and overall survival (OS) were compared between different types.ResultsAs a whole, the quantity of L858R decreased and reached the lowest level at the time of best response to EGFR-TKI. After the analysis of Ward's hierarchical clustering method, two dynamic types were found. In 61 patients, L858R increased to its highest level when disease progressed (ascend type), while in 19 patients, L858R maintained a stable level when disease progressed (stable type). Median PFS was 11.1 months (95 % CI, 6.6-15.6) and 7.5 months (95 % CI, 1.4-13.6) in patients with ascend and stable types, respectively (P = 0.023). Median OS was 19.7 months (95 % CI, 16.5-22.9) and 16.0 months (95 % CI, 13.4-18.5), respectively (P = 0.050).ConclusionsThis is the first report finding two different dynamic types of plasma L858R mutation during EGFR-TKI treatment based on a prospective randomized study. Different dynamic types were correlated with benefits from EGFR-TKI. The impact of plasma L858R levels at disease progression on subsequent treatment strategy needs further exploration.Trial registrationClinicalTrials.gov, NCT01024413.

Project description:BackgroundKeeping on original epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) treatment is the standard treatment for gradual progression EGFR-positive metastatic non-small cell lung cancer (NSCLC). Angiogenic pathway can lead to EGFR-TKI resistance, but the effectiveness of combination strategies in this group is still controversial. This study aimed to assess the efficacy and safety of the original EGFR-TKI combined with bevacizumab in advanced and metastatic lung adenocarcinoma patients harboring EGFR-mutation who experience gradual progression in a real-world setting.MethodsFrom June 2019 to December 2021, a total of 35 metastatic EGFR positive NSCLC patients experienced gradual progression after EGFR-TKI treatments and received original TKI combined with bevacizumab were identified at Chongqing University Cancer Hospital, China. All patients were confirmed EGFR positive by rebiopsy before treatment. Patients were treated with EGFR-TKI and bevacizumab (15 mg/kg Q3W) after gradual progression until rapid progression or intolerable toxicity. The overall survival (OS), progression-free survival 1 (PFS1, period from the beginning of EGFR-TKI treatment to the rapid progression of the disease), PFS2 (period from the beginning of EGFR-TKI combined with bevacizumab treatment to the rapid progression of the disease), disease control rate (DCR), and adverse events of the combined treatment were collected and analyzed.ResultsA total of 33 patients could participate the efficacy evaluation. Median PFS1 and PFS2 were 20.5 and 8 months, respectively; DCR was 93.94%; median OS was immature. Multivariate Cox proportional hazards model showed that smoking status [hazard ratio (HR) =3.692, 95% confidence interval (CI): 1.450-9.404, P=0.006], combined EGFR T790M mutation or rare mutation (HR =2.480, 95% CI: 1.073-5.729, P=0.034), and malignant pleural effusion (HR =3.707, 95% CI: 1.460-9.414, P=0.006) were independent risk factors for PFS2. The most common treatment-related adverse events greater than grade 3 included hypertension (23.7%), proteinuria (8.3%), and increased alanine aminotransferase (ALT; 4.1%) and aspartate aminotransferase (AST; 2.9%).ConclusionsContinuous original TKI combined with bevacizumab showed partly favorable efficacy and safety and may represent a therapeutic option for metastatic EGFR-mutation NSCLC patients experiencing gradual progression after EGFR-TKI treatment.

Project description:BackgroundClinical detection of EGFR-TKI resistance mechanism through tissue can be really challenging due to risks associated with the procedure. Thus, liquid biopsy, especially circulation tumor DNA (ctDNA) analysis, can be an adequate source for biomarker testing in targeted therapy. Our study was aimed at clinical validation of liquid biopsy next-generation sequencing (NGS) by comparison with tissue biopsy, and we also investigated clinical utility of ctDNA NGS on the prediction of TKI outcomes.MethodsUsing hybrid capture panel NGS, we compared the concordance, sensitivity, and specificity of ctDNA using 39 paired plasma and tissue biopsy, and investigated the association between ctDNA genomic alterations of 147 first-generation TKI-relapsed patients and their response to first- and third-generation TKIs.ResultsThe concordance for ctDNA and tissue biopsy was 84.62% among all patients, and even higher among late stage patients (88.24%). Among 147 EGFR-TKI-relapsed patients, T790M was the most common reason for resistance (40.13%). Compared with T790M-positive patients, patients only detected with sensitizing mutations (sensi-mutations) had lower mutant allele frequency (MAF) of sensi-mutations (P = 0.031). TP53 mutation showed negative impact on TKI treatments. In survival analysis of third-generation TKI, we found a positive correlation between ratio of T790M sensi-mutation and PFS (P = 0.018); also, higher MAFs of both sensi-mutation and T790M were observed in the PR group than the SD + PD group.ConclusionsBoth ratio of T790M sensi-mutations and MAFs of EGFR mutations were associated with third-generation TKI outcomes. Thus, incorporation of high-throughput NGS into clinical trials may be crucial to identifying the response to osimertinib, as it provides more comprehensive genomic information.Key pointsHigh concordance of ctDNA and tissue biopsy was observed. NGS of ctDNA from 147 TKI-relapsed patients showed that both high ratio of T790M sensitizing mutation (sensi-mutation) and high MAFs of mutations were all associated with better third generation TKI treatment outcomes. The quantification of both MAFs and T790M sensi-mutation ratio should be taken into consideration in some clinical situations, and incorporation of high-throughput NGS into clinical trials may be crucial to identifying the response to osimertinib, as it provides more comprehensive genomic information.

Dataset Information

Predictive value of early kinetics of ctDNA combined with cfDNA and serum CEA for EGFR-TKI treatment in advanced non-small cell lung cancer.

Background

Methods

Results

Conclusions

Publications

Predictive value of early kinetics of ctDNA combined with cfDNA and serum CEA for EGFR-TKI treatment in advanced non-small cell lung cancer.

Similar Datasets

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