Dataset Information

Circulating DNA-Based Sequencing Guided Anlotinib Therapy in Non-Small Cell Lung Cancer.

ABSTRACT: Anlotinib is a multitargeted antiangiogenic drug, and its clinical predictor for responsive non-small cell lung cancer (NSCLC) patients is still elusive. Here, tumor-specific target capture is used to profile the circulating DNA of ALTER0303 (evaluating NSCLC clinical antitumor efficacy through anlotinib therapy) study participants. The results indicate that patients receiving no benefit can be mainly excluded via analysis of ARID1A and BRCA2 genetic profiling. For patients with no durable benefit and durable clinical benefit patients, three predictors: germline and somatic mutation burden (G+S MB), nonsynonymous and synonymous mutation burden (N+S MB), and unfavorable mutation score of circulating DNA profiling are identified. Through integrating the advantages and disadvantages of three independent predictors, the tumor mutation index (TMI) is established as a prediction model and the patients who are very likely to benefit more from anlotinib therapy are identified. Furthermore, the IDH1 exon 4 mutation is identified as an unfavorable factor for anlotinib therapy under TMI-based stratification, and the TMI plus IDH1 exon 4 mutation status potentially predicts response to anlotinib. Collectively, this study provides a circulating DNA sequencing-based stratification method for identifying anlotinib responders via a noninvasive approach, and thus potentially improves the clinical outcome of NSCLC patients receiving third-line therapy.

SUBMITTER: Lu J

PROVIDER: S-EPMC6774020 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Circulating DNA-Based Sequencing Guided Anlotinib Therapy in Non-Small Cell Lung Cancer.

Lu Jun J Zhong Hua H Wu Jun J Chu Tianqing T Zhang Lele L Li Hua H Wang Qiming Q Li Rong R Zhao Yizhuo Y Gu Aiqin A Wang Huimin H Shi Chunlei C Xiong Liwen L Zhang Xueyan X Zhang Wei W Lou Yuqing Y Yan Bo B Dong Yu Y Zhang Yanwei Y Li Baolan B Zhang Li L Zhao Xiaodong X Li Kai K Han Baohui B

Advanced science (Weinheim, Baden-Wurttemberg, Germany) 20190819 19

Anlotinib is a multitargeted antiangiogenic drug, and its clinical predictor for responsive non-small cell lung cancer (NSCLC) patients is still elusive. Here, tumor-specific target capture is used to profile the circulating DNA of ALTER0303 (evaluating NSCLC clinical antitumor efficacy through anlotinib therapy) study participants. The results indicate that patients receiving no benefit can be mainly excluded via analysis of <i>ARID1A</i> and <i>BRCA2</i> genetic profiling. For patients with no ...[more]

PMID: 31592412

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Project description:BackgroundCurrently available biomarkers are imperfect in their ability to predict responses to the multiple first-line treatment options available for patients with advanced non-small cell lung cancer (NSCLC). Having an early pharmacodynamic marker of treatment resistance may help redirect patients onto more effective alternative therapies. We sought to determine if changes in circulating tumor DNA (ctDNA) levels after initiation of first-line pembrolizumab±chemotherapy in NSCLC would enable early prediction of response prior to radiological assessment.MethodsPlasma collected from patients with advanced NSCLC prior to and serially after starting first-line pembrolizumab±platinum doublet chemotherapy was analyzed by next-generation sequencing using enhanced tagged-amplicon sequencing of hotspots and coding regions from 36 genes. Early change in ctDNA allele fraction (AF) was correlated with radiographic responses and long-term clinical outcomes.ResultsAmong 62 patients who received first-line pembrolizumab±platinum/pemetrexed and underwent ctDNA assessment, 45 had detectable ctDNA alterations at baseline. The median change in AF at the first follow-up (at a median of 21 days after treatment initiation) was -90.1% (range -100% to +65%) among patients who subsequently had a radiologic response (n=18), -19.9% (range: -100% to +1884%) among stable disease cases (n=15), and +28.8% (range: -100% to +410%) among progressive disease cases (n=12); p=0.003. In addition, there was a significant correlation between the percent change in ctDNA at the first follow-up and the percent change in tumor target lesions from baseline (R=0.66, p<0.001). AF decrease between the pretreatment and first on-treatment blood draw was associated with significantly higher response rate (60.7% vs 5.8%, p=0.0003), and significantly longer median progression-free survival (8.3 vs 3.4 months, HR: 0.29 (95% CI: 0.14 to 0.60), p=0.0007) and median overall survival (26.2 vs 13.2 months, HR: 0.34 (95% CI: 0.15 to 0.75), p=0.008) compared with cases with an AF increase.ConclusionIn patients with advanced NSCLC, rapid decreases in ctDNA prior to radiological assessment correlated with clinical benefit. These results suggest a potential role for ctDNA as an early pharmacodynamic biomarker of response or resistance to immunotherapies.

Project description:Anlotinib is a small-molecule RTK inhibitor that has achieved certain results in further-line treatment, but many patients do not respond to this drug and lack effective methods for identification. Although radiomics has been widely used in lung cancer, very few studies have been conducted in the field of antiangiogenic drugs. This study aims to develop a new model to predict the efficacy of patients receiving anlotinib by combining pretreatment computed tomography (CT) radiomic characters with clinical characters, in order to assist precision medicine of pulmonary cancer. 254 patients from seven institutions were involved in the study. Lesions were selected according to the RECIST 1.1 criteria, and the corresponding radiomic features were obtained. We constructed prediction models based on clinical, NCE-CT, and CE-CT radiomic features, respectively, and evaluated the prediction performance of the models for training sets, internal validation sets, and external validation sets. In the RAD score only model, the area under curve(AUC) of the NCE-CT cohort was 0.740 (95% CI: 0.622, 0.857) for the training set, 0.711 (95% CI: 0.480, 0.942) for the internal validation set, and 0.633(95% CI: 0.479, 0.787) for the external validation set, while that of the CE-CT cohort was 0.815 (95% CI: 0.705, 0.926) for the training set, 0.771 (95% CI: 0.539, 1.000) for the internal validation set, and 0.701 (95% CI: 0.489, 0.913) for the external validation set. In the RAD score-combined model, the AUC of the NCE-CT cohort was 0.796 (95% CI: 0.691, 0.901) for the training set, 0.579 (95% CI: 0.309, 0.848) for the internal validation set, and 0.590 (95% CI: 0.427, 0.753) for the external validation set, while that of the CE-CT cohort was 0.902 (95% CI: 0.828, 0.977) for the training set, 0.865 (95% CI: 0.696, 1.000) for the internal validation set, and 0.837 (95% CI: 0.682, 0.992) for the external validation set. In conclusion, radiomics has accurate predictions for the efficacy of anlotinib. CE-CT-based radiomic models have the best predictive potential in predicting the efficacy of anlotinib, and model predictions become better when they are combined with clinical characteristics.

Dataset Information

Circulating DNA-Based Sequencing Guided Anlotinib Therapy in Non-Small Cell Lung Cancer.

Publications

Circulating DNA-Based Sequencing Guided Anlotinib Therapy in Non-Small Cell Lung Cancer.

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