scholarly journals Circulating Tumor DNA Analyses as a Potential Marker of Recurrence and Effectiveness of Adjuvant Chemotherapy for Resected Non-Small-Cell Lung Cancer

2021 ◽  
Vol 10 ◽  
Author(s):  
Peng-Peng Kuang ◽  
Ning Li ◽  
Zui Liu ◽  
Tian-Yu Sun ◽  
Shu-Quan Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
High Risk ◽  
Adjuvant Chemotherapy ◽  
Small Cell Lung Cancer ◽  
Tumor Tissue ◽  
Circulating Tumor Dna ◽  
Small Cell ◽  
Plasma Samples ◽  
Small Cell Lung ◽  
Tumor Dna

BackgroundAlthough adjuvant chemotherapy is established for patients with non-small-cell lung cancer (NSCLC), the long-term survival remains to be improved. Postsurgical circulating tumor DNA (ctDNA) analysis of resectable NSCLC may identify patients at high risk of recurrence after adjuvant chemotherapy and facilitate personalized therapy.MethodsThis analysis included 38 patients who underwent curative-intent resection and received adjuvant chemotherapy for NSCLC. ctDNA analyses of tumor tissue, and pre- and post-operative plasma samples were performed with next-generation sequencing targeting 425 cancer-relevant genes. We define a ctDNA positive event as at least one shared mutation identified simultaneously in the plasma and tumor specimens. The primary endpoint was recurrence-free survival (RFS).ResultsAt least one somatic mutation was identified in the tumor tissue of all 38 patients. Tumor tissue-specific mutated ctDNA was detected in the preoperative plasma samples of 19 (50%) patients. ctDNA in preoperative plasma was in good accordance with that in tissue. ctDNA was detectable in the first post-operative pre-chemotherapy samples of 8 of 35 (22.9%) patients and was associated with inferior RFS (HR, 3.69; P = 0.033). ctDNA was detected in the first post-chemotherapy samples of 8 of 36 (22.2%) patients and was also associated with inferior RFS (HR, 8.76; P < 0.001).ConclusionsPostoperative and post-chemotherapy ctDNA is a promising prognostic marker for resected NSCLC. ctDNA analyses may define a subgroup that remains at high risk of relapse despite standard adjuvant chemotherapy, and may help to inform intensified therapeutic strategies.

scholarly journals Pan-cancer circulating tumor DNA detection in over 10,000 Chinese patients

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yongliang Zhang ◽  
Yu Yao ◽  
Yaping Xu ◽  
Lifeng Li ◽  
Yan Gong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Circulating Tumor Dna ◽  
Small Cell ◽  
Chinese Patients ◽  
Plasma Samples ◽  
Small Cell Lung ◽  
Pan Cancer ◽  
Tumor Dna

AbstractCirculating tumor DNA (ctDNA) provides a noninvasive approach to elucidate a patient’s genomic landscape and actionable information. Here, we design a ctDNA-based study of over 10,000 pan-cancer Chinese patients. Using parallel sequencing between plasma and white blood cells, 14% of plasma cell-free DNA samples contain clonal hematopoiesis (CH) variants, for which detectability increases with age. After eliminating CH variants, ctDNA is detected in 73.5% of plasma samples, with small cell lung cancer (91.1%) and prostate cancer (87.9%) showing the highest detectability. The landscape of putative driver genes revealed by ctDNA profiling is similar to that in a tissue-based database (R2 = 0.87, p < 0.001) but also shows some discrepancies, such as higher EGFR (44.8% versus 25.2%) and lower KRAS (6.8% versus 27.2%) frequencies in non-small cell lung cancer, and a higher TP53 frequency in hepatocellular carcinoma (53.1% versus 28.6%). Up to 41.2% of plasma samples harbor drug-sensitive alterations. These findings may be helpful for identifying therapeutic targets and combined treatment strategies.

Using circulating tumor DNA analysis to depict genomic profiles and predict survival outcomes in patients with small-cell lung cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 8567-8567
Author(s):  
Jinghui Wang ◽  
Jingying Nong ◽  
Yuhua Gong ◽  
Shuai Sun ◽  
Yuting Yi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Outcome ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Circulating Tumor Dna ◽  
Small Cell ◽  
Survival Outcomes ◽  
Plasma Samples ◽  
Small Cell Lung ◽  
Tumor Dna

8567 Background: Small-cell lung cancer (SCLC) accounts for approximately 15% of lung cancers. Most patients have extensive-stage disease with widespread metastases and poor survival. Understanding the molecular mutation profile of each SCLC patient would allow precision treatment and improved clinical outcome. However, tumor tissues from surgery are not available for most SCLC patients and biopsy specimens are often have limited quantities. Several studies have provided evidence of circulating tumor DNA (ctDNA) in detecting somatic variants of multiple solid tumors. This study evaluated utility of ctDNA to depict genomic profiles and predict survival outcomes in SCLC patients. Methods: 22 Plasma samples were obtained before initial treatment from 22 patients with SCLC enrolled between 2012 and 2016. Targeted-capture deep sequencing was performed to identify somatic variants in 465 cancer-related genes. Genomic mutation profiles were described and the clinical implications were further analyzed. Results: Tumor DNA can be detected in all 22 plasma samples collected from patients with SCLC. In total, 340 variants were identified, and the mean and median mutation rate were 6.3 and 6.6 per Mb. TP53 and RB1 are the most frequently mutated genes, detected in 90.9% (20/22) and 59.1% (13/22) patients, respectively. Further analysis showed that high ctDNA fraction in cell-free DNA (cfDNA) was associated with heavy tumor burden (R = 0.7, p = 0.0017). Moreover, patients with high ctDNA fractions (ctDNA fraction > = 18.3%) had poor progression free survival (PFS) (HR, 17.2; p = 0.0019). The median PFS of patients with high versus low ctDNA fractions was 5.2 months (95% CI 4.6 to 5.8 months) versus 10.0 months (95% CI 9.3 to 10.7 months), respectively. Conclusions: In this study, ctDNA analysis offers a promising way to depict the molecular profile in patients with SCLC. Moreover, these findings highlight the potential clinical utility of ctDNA to predicate clinical outcome in SCLC.

scholarly journals An Improved Detection of Circulating Tumor DNA in Extracellular Vesicles-Depleted Plasma

2021 ◽  
Vol 11 ◽  
Author(s):  
Li Sun ◽  
Meijun Du ◽  
Manish Kohli ◽  
Chiang-Ching Huang ◽  
Xiaoxiang Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Extracellular Vesicles ◽  
Cell Lung Cancer ◽  
Circulating Tumor Dna ◽  
Small Cell ◽  
Egfr Mutations ◽  
Plasma Samples ◽  
Small Cell Lung ◽  
Tumor Dna

Circulating tumor DNA (ctDNA) in plasma has been used as a biomarker for cancer detection and outcome prediction. In this study, we collected the five precipitates (fractions 1–5) and leftover supernatant plasma component (fraction 6) by a sequential centrifugation in plasma samples from nine small cell lung cancer (SCLC) patients. The fractions 3, 5 and 6 were large vesicles, exosomes and extracellular vesicles (EVs)-depleted plasma, respectively. Fragment size analysis using DNAs from these fractions showed dramatical differences from a peak of 7–10 kb in fraction 1 to 140–160 bp in fraction 6. To determine ctDNA content, we performed whole genome sequencing and applied copy number-based algorithm to calculate ctDNA percentage. This analysis showed the highest ctDNA content in EV-depleted plasma (average = 27.22%), followed by exosomes (average = 22.09%) and large vesicles (average = 19.70%). Comparatively, whole plasma, which has been used in most ctDNA studies, showed an average of 23.84% ctDNA content in the same group of patients. To further demonstrate higher ctDNA content in fraction 6, we performed mutational analysis in the plasma samples from 22 non-small cell lung cancer (NSCLC) patients with known EGFR mutations. This analysis confirmed higher mutation detection rates in fraction 6 (14/22) than whole plasma (10/22). This study provides a new insight into potential application of using fractionated plasma for an improved ctDNA detection.

Circulating Tumor DNA Minimal Residual Disease Detection of Non–Small-Cell Lung Cancer Treated With Curative Intent

2022 ◽  
Author(s):  
Bruna Pellini ◽  
Aadel A. Chaudhuri
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Residual Disease ◽  
Circulating Tumor Dna ◽  
Small Cell ◽  
Post Treatment ◽  
Small Cell Lung ◽  
Curative Intent ◽  
Tumor Dna ◽  
Minimal Residual

Circulating tumor DNA (ctDNA) minimal residual disease (MRD) is a powerful biomarker with the potential to improve survival outcomes for non–small-cell lung cancer (NSCLC). Multiple groups have shown the ability to detect MRD following curative-intent NSCLC treatment using next-generation sequencing–based assays of plasma cell-free DNA. These studies have been modest in size, largely retrospective, and without thorough prospective clinical validation. Still, when restricting measurement to the first post-treatment timepoint to assess the clinical performance of ctDNA MRD detection, they have demonstrated sensitivity for predicting disease relapse ranging between 36% and 100%, and specificity ranging between 71% and 100%. When considering all post-treatment follow-up timepoints (surveillance), including those beyond the initial post-treatment measurement, these assays' performances improve with sensitivity and specificity for identifying relapse ranging from 82% to 100% and 70% to 100%, respectively. In this manuscript, we review the evidence available to date regarding ctDNA MRD detection in patients with NSCLC undergoing curative-intent treatment and the ongoing prospective studies involving ctDNA MRD detection in this patient population.

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