scholarly journals Exploring genetic alterations in circulating tumor DNA from cerebrospinal fluid of pediatric medulloblastoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanling Sun ◽  
Miao Li ◽  
Siqi Ren ◽  
Yan Liu ◽  
Jin Zhang ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Circulating Tumor Dna ◽  
Genetic Alterations ◽  
Therapeutic Approaches ◽  
Sequencing Platform ◽  
Next Generation Sequencing Platform ◽  
Pediatric Medulloblastoma ◽  
Tumor Tissues ◽  
Tumor Dna ◽  
Generation Sequencing

AbstractMedulloblastoma (MB) is the most common type of brain malignancy in children. Molecular profiling has become an important component to select patients for therapeutic approaches, allowing for personalized therapy. In this study, we successfully identified detectable levels of tumor-derived cell-free DNA (cfDNA) in cerebrospinal fluid (CSF) samples of patients with MB. Furthermore, cfDNA from CSF can interrogate for tumor-associated molecular clues. MB-associated alterations from CSF, tumor, and post-chemotherapy plasma were compared by deep sequencing on next-generation sequencing platform. Shared alterations exist between CSF and matched tumor tissues. More alternations were detected in circulating tumor DNA from CSF than those in genomic DNA from primary tumor. It was feasible to detect MB-associated mutations in plasma of patients treated with chemotherapy. Collectively, CSF supernatant can be used to monitor genomic alterations, as a superior technique as long as tumor-derived cfDNA can be isolated from CSF successfully.

scholarly journals Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from neoplastic meningitis patients using next generation sequencing

2019 ◽  
Author(s):  
Yue Zhao ◽  
JunYing He ◽  
Li Guo ◽  
YueLi Zou ◽  
JunZhao Cui ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Next Generation Sequencing ◽  
Gene Mutations ◽  
Circulating Tumor Dna ◽  
Copy Number Variations ◽  
Neoplastic Meningitis ◽  
Diagnostic Strategy ◽  
Next Generation ◽  
Tumor Dna ◽  
Generation Sequencing

Abstract Background This study profiled the somatic gene mutations and the copy number variations (CNVs) in cerebrospinal fluid (CSF)-circulating tumor DNA (ctDNA) from patients with neoplastic meningitis (NM).Methods A total of 62 CSF ctDNA samples were collected from 58 NM patients for the next generation sequencing. The data were blasted in GenBank and bioinformatically analyzed.Results Cancer-associated gene mutations occurred in all 62 CSF ctDNA samples in TP53 (54/62; 87.10%), EGFR (44/62; 70.97%), PTEN (39/62; 62.90%), CDKN2A (32/62; 51.61%), APC (27/62: 43.55%), TET2 (27/62; 43.55%), GNAQ (18/62; 29.03%), NOTCH1 (17/62; 27.42%), VHL (17/62; 27.42%), FLT3 (16/62; 25.81%), PTCH1 (15/62; 24.19%), BRCA2 (13/62; 20.97%), KDR (10/62; 16.13%), KIT (9/62; 14.52%), MLH1 (9/62; 14.52%), ATM (8/62; 12.90%), CBL (8/62; 12.90%), and DNMT3A (7/62; 11.29%). The mutated genes enriched by the KEGG pathway analysis were the PI3K-Akt, which included the genes of TP53 , EGFR , PTEN , KIT and KDR. After receiving intrathecal and systemic chemotherapy, the ERK1/2 signaling pathways of these CSF samples were activated. Furthermore, the CNVs of these genes were also identified in these 62 samples.Conclusions This study identified gene mutations in all CSF ctDNA samples, indicating that such an approach could be useful as a second-line diagnostic strategy for NM patients. PI3K-Akt signaling may be the potential NM metastasis mechanism.

scholarly journals Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from neoplastic meningitis patients using next generation sequencing

2020 ◽  
Author(s):  
Yue Zhao ◽  
JunYing He ◽  
JunZhao Cui ◽  
Zi-Qi Meng ◽  
YueLi Zou ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Next Generation Sequencing ◽  
Signaling Pathway ◽  
Gene Mutations ◽  
Circulating Tumor Dna ◽  
Akt Signaling ◽  
Neoplastic Meningitis ◽  
Akt Signaling Pathway ◽  
Tumor Dna ◽  
Generation Sequencing

Abstract Background: This study profiled the somatic gene mutations and the copy number variations (CNVs) in cerebrospinal fluid (CSF)-circulating tumor DNA (ctDNA) from patients with neoplastic meningitis (NM). Methods: A total of 62 CSF ctDNA samples were collected from 58 NM patients for the next generation sequencing. The data were bioinformatically analyzed by (Database for Annotation, Visualization and Integrated Discovery) DAVID software. Results: The most common mutated gene was TP53 (54/62; 87.10%), followed by EGFR (44/62; 70.97%), PTEN (39/62; 62.90%), CDKN2A (32/62; 51.61%), APC (27/62: 43.55%), TET2 (27/62; 43.55%), GNAQ (18/62; 29.03%), NOTCH1 (17/62; 27.42%), VHL (17/62; 27.42%), FLT3 (16/62; 25.81%), PTCH1 (15/62; 24.19%), BRCA2 (13/62; 20.97%), KDR (10/62; 16.13%), KIT (9/62; 14.52%), MLH1 (9/62; 14.52%), ATM (8/62; 12.90%), CBL (8/62; 12.90%), and DNMT3A (7/62; 11.29%). The mutated genes were enriched in the PI3K-Akt signaling pathway by the KEGG pathway analysis. Furthermore, the CNVs of these genes were also identified in these 62 samples. The mutated genes in CSF samples receiving intrathecal chemotherapy and systemic therapy were enriched in the ERK1/2 signaling pathway. Conclusions: This study identified gene mutations in all CSF ctDNA samples, indicating that these mutated genes may be acted as a kind of biomarker for diagnosis of NM, and these mutated genes may affect meningeal metastasis through PI3K-Akt signaling pathway.

scholarly journals Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from neoplastic meningitis patients using next generation sequencing

2020 ◽  
Author(s):  
Yue Zhao ◽  
JunYing He ◽  
JunZhao Cui ◽  
Zi-Qi Meng ◽  
YueLi Zou ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Next Generation Sequencing ◽  
Signaling Pathway ◽  
Circulating Tumor Dna ◽  
Akt Signaling ◽  
Neoplastic Meningitis ◽  
Next Generation ◽  
Akt Signaling Pathway ◽  
Tumor Dna ◽  
Generation Sequencing

Abstract Background: This study profiled the somatic genes mutations and the copy number variations (CNVs) in cerebrospinal fluid (CSF)-circulating tumor DNA (ctDNA) from patients with neoplastic meningitis (NM). Methods: A total of 62 CSF ctDNA samples were collected from 58 NM patients for the next generation sequencing. The data were bioinformatically analyzed by (Database for Annotation, Visualization and Integrated Discovery) DAVID software. Results: The most common mutated gene was TP53 (54/62; 87.10%), followed by EGFR (44/62; 70.97%), PTEN (39/62; 62.90%), CDKN2A (32/62; 51.61%), APC (27/62: 43.55%), TET2 (27/62; 43.55%), GNAQ (18/62; 29.03%), NOTCH1 (17/62; 27.42%), VHL (17/62; 27.42%), FLT3 (16/62; 25.81%), PTCH1 (15/62; 24.19%), BRCA2 (13/62; 20.97%), KDR (10/62; 16.13%), KIT (9/62; 14.52%), MLH1 (9/62; 14.52%), ATM (8/62; 12.90%), CBL (8/62; 12.90%), and DNMT3A (7/62; 11.29%). The mutated genes were enriched in the PI3K-Akt signaling pathway by the KEGG pathway analysis. Furthermore, the CNVs of these genes were also identified in these 62 samples. The mutated genes in CSF samples receiving intrathecal chemotherapy and systemic therapy were enriched in the ERK1/2 signaling pathway. Conclusions: This study identified genes mutations in all CSF ctDNA samples, indicating that these mutated genes may be acted as a kind of biomarker for diagnosis of NM, and these mutated genes may affect meningeal metastasis through PI3K-Akt signaling pathway.

scholarly journals Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from neoplastic meningitis patients using next generation sequencing

2020 ◽  
Author(s):  
Yue Zhao ◽  
JunYing He ◽  
JunZhao Cui ◽  
Zi-Qi Meng ◽  
YueLi Zou ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Next Generation Sequencing ◽  
Signaling Pathway ◽  
Gene Mutations ◽  
Circulating Tumor Dna ◽  
Akt Signaling ◽  
Neoplastic Meningitis ◽  
Akt Signaling Pathway ◽  
Tumor Dna ◽  
Generation Sequencing

Abstract Background: This study profiled the somatic gene mutations and the copy number variations (CNVs) in cerebrospinal fluid (CSF)-circulating tumor DNA (ctDNA) from patients with neoplastic meningitis (NM). Methods: A total of 62 CSF ctDNA samples were collected from 58 NM patients for the next generation sequencing. The data were bioinformatically analyzed by (Database for Annotation, Visualization and Integrated Discovery) DAVID software. Results: The most common mutated gene was TP53 (54/62; 87.10%), followed by EGFR (44/62; 70.97%), PTEN (39/62; 62.90%), CDKN2A (32/62; 51.61%), APC (27/62: 43.55%), TET2 (27/62; 43.55%), GNAQ (18/62; 29.03%), NOTCH1 (17/62; 27.42%), VHL (17/62; 27.42%), FLT3 (16/62; 25.81%), PTCH1 (15/62; 24.19%), BRCA2 (13/62; 20.97%), KDR (10/62; 16.13%), KIT (9/62; 14.52%), MLH1 (9/62; 14.52%), ATM (8/62; 12.90%), CBL (8/62; 12.90%), and DNMT3A (7/62; 11.29%). The mutated genes were enriched in the PI3K-Akt signaling pathway by the KEGG pathway analysis. Furthermore, the CNVs of these genes were also identified in these 62 samples. The mutated genes in CSF samples receiving intrathecal chemotherapy and systemic therapy were enriched in the ERK1/2 signaling pathway. Conclusions: This study identified gene mutations in all CSF ctDNA samples, indicating that these mutated genes may be acted as a kind of biomarker for diagnosis of NM, and these mutated genes may affect meningeal metastasis through PI3K-Akt signaling pathway.

scholarly journals Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from neoplastic meningitis patients using next generation sequencing

2020 ◽  
Author(s):  
Yue Zhao ◽  
JunYing He ◽  
JunZhao Cui ◽  
Zi-Qi Meng New ◽  
YueLi Zou ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Next Generation Sequencing ◽  
Gene Mutations ◽  
Circulating Tumor Dna ◽  
Copy Number Variations ◽  
Neoplastic Meningitis ◽  
Next Generation ◽  
Somatic Gene ◽  
Tumor Dna ◽  
Generation Sequencing

Abstract Background: This study profiled the somatic gene mutations and the copy number variations (CNVs) in cerebrospinal fluid (CSF)-circulating tumor DNA (ctDNA) from patients with neoplastic meningitis (NM). Methods: A total of 62 CSF ctDNA samples were collected from 58 NM patients for the next generation sequencing. The data were blasted in GenBank and bioinformatically analyzed. Results: Cancer-associated gene mutations occurred in all 62 CSF ctDNA samples in TP53 (54/62; 87.10%), EGFR (44/62; 70.97%), PTEN (39/62; 62.90%), CDKN2A (32/62; 51.61%), APC (27/62: 43.55%), TET2 (27/62; 43.55%), GNAQ (18/62; 29.03%), NOTCH1 (17/62; 27.42%), VHL (17/62; 27.42%), FLT3 (16/62; 25.81%), PTCH1 (15/62; 24.19%), BRCA2 (13/62; 20.97%), KDR (10/62; 16.13%), KIT (9/62; 14.52%), MLH1 (9/62; 14.52%), ATM (8/62; 12.90%), CBL (8/62; 12.90%), and DNMT3A (7/62; 11.29%). The mutated genes enriched by the KEGG pathway analysis were the PI3K-Akt, which included the genes of TP53, EGFR, PTEN, KIT and KDR. After receiving intrathecal and systemic chemotherapy, the ERK1/2 signaling pathways of these CSF samples were activated. Furthermore, the CNVs of these genes were also identified in these 62 samples. Conclusions: This study identified gene mutations in all CSF ctDNA samples, indicating that these mutated genes may be acted as a kind of biomarker for diagnosis of NM, and these mutated genes may affect meningeal metastasis through PI3K-Akt signaling pathway.

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